{"about":{"non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","site":"https://codewithpapers.app","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page","syntology":{"site":"https://syntology.ai","developers":"https://syntology.ai/developers","mcp":{"server":"https://syntology.ai/mcp","transport":"streamable-http","server_card":"https://syntology.ai/.well-known/mcp/server-card.json","auth":{"type":"trial token, no account","trial_token":"https://syntology.ai/api/oauth/trial/token","method":"POST","docs":"https://syntology.ai/developers"}},"have":"https://syntology.ai/api/graph/have?x=<method, arXiv id or title> (free, answers coverage only)","paper_base":"https://syntology.ai/paper/","atlas_base":"https://app.syntology.ai/?focus="},"machine_readable":[{"url":"https://codewithpapers.app/llms.txt","what":"the machine catalog: every machine-readable file, counted"},{"url":"https://codewithpapers.app/index/manifest.json","what":"paper-to-code index by arXiv id, with Syntology's counts"},{"url":"https://codewithpapers.app/search/manifest.json","what":"site search index (titles, authors) and its files"},{"url":"https://codewithpapers.app/download","what":"bulk files: Syntology's layer, described there"},{"url":"https://codewithpapers.app/build_manifest.json","what":"the build record: inputs, counts, exclusions, probes"}]},"url":"/task/mamba/papers/ran/2","list_of":"/task/mamba","task":"Mamba","archive":{"snapshot":"2025-07-28"},"key_notes":{"n_ran_checked":"legacy name, kept unchanged so existing readers do not break: it counts the samples that ran with no instrument failure (honoured, violated, and ran with no contract checked); it does not mean a contract was checked, and the pages print it as 'K with no instrument failure', not 'K checked'","n_constructed":"a sub-count of the samples that ran, never subtracted from them and never a failure: an executed sample whose run returned an instance of its own class (fixture_out_type equals the entry name): the run built an object and did not compute a result (Syntology's RAN record, counts.constructed)"},"syntology_read_at":"2026-09-28T10:30:06+00:00","order":"ran","order_definition":"only papers where Syntology ran at least one harvested sample; date (newest first), ties by arXiv id","caption":"We ran code from the paper's repository; we did not run it on this task or check it against the task's benchmarks.","absence":"A paper missing from this list is not a recorded non-run: it may have no arXiv id, no harvested code, or only samples that have not run yet.","page":2,"pages_in_order":2,"rows_per_page":100,"rows":[101,191],"of":191,"counts":{"archive_papers_tagged":1058,"with_a_code_link":552,"where_syntology_ran_a_sample":191,"not_listed_spam_title":0,"listed":1058,"listed_where_code_ran":191,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":177,"every_run_a_failure_of_syntologys_instrument":14,"listed_with_a_run_with_no_instrument_failure":177,"listed_every_run_a_failure_of_syntologys_instrument":14,"filter":{"states":["a run with no instrument failure","any run, instrument failures included"],"default":"a run with no instrument failure","note":"on the 'only where code ran' pages the default hides, in the browser, the rows where every run was a failure of Syntology's instrument; the second state shows them again. Rows are hidden, never re-ordered; these twins list every row"}},"definition":"distinct papers the archive tags; 'where Syntology ran a sample' counts papers with at least one harvested sample that ran, which is not a correctness claim"},"first_page":"/task/mamba/papers/ran/1","prev":"/task/mamba/papers/ran/1","next":null,"papers":[{"url":"/paper/ehrmamba-towards-generalizable-and-scalable","slug":"ehrmamba-towards-generalizable-and-scalable","title":"EHRMamba: Towards Generalizable and Scalable Foundation Models for Electronic Health Records","date":"2024-05-23","arxiv_id":"2405.14567","repositories_listed":1,"syntology":{"n":14,"n_ran":14,"n_constructed":0,"n_ran_checked":14,"n_instrument":0,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":14,"n_pointer_only":0,"phrase":"14 ran (of which 0 constructed an object rather than computing a result; 14 with no instrument failure: 0 honoured, 0 violated, 14 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/ehrmamba-towards-generalizable-and-scalable#ran","syntology_url":"https://syntology.ai/paper/2405.14567","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2405.14567"}},"official":{"repos":["VectorInstitute/odyssey"],"state":"official (archive's flag): 14 ran","n_ran":14,"n_constructed":0,"n_ran_no_instrument_failure":14,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/ssamba-self-supervised-audio-representation","slug":"ssamba-self-supervised-audio-representation","title":"SSAMBA: Self-Supervised Audio Representation Learning with Mamba State Space Model","date":"2024-05-20","arxiv_id":"2405.11831","repositories_listed":1,"syntology":{"n":8,"n_ran":5,"n_constructed":0,"n_ran_checked":5,"n_instrument":0,"n_unverified":3,"n_honours":1,"n_violates":0,"n_no_contract":4,"n_pointer_only":0,"phrase":"5 ran (of which 0 constructed an object rather than computing a result; 5 with no instrument failure: 1 honoured, 0 violated, 4 with no contract checked; 0 where Syntology's instrument failed) · 3 unverified","sample_list":"/paper/ssamba-self-supervised-audio-representation#ran","syntology_url":"https://syntology.ai/paper/2405.11831","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2405.11831"}},"official":{"repos":["siavashshams/ssamba"],"state":"official (archive's flag): 5 ran","n_ran":5,"n_constructed":0,"n_ran_no_instrument_failure":5,"n_unverified":3,"ran_from_kinds":["official"]}}},{"url":"/paper/is-mamba-compatible-with-trajectory","slug":"is-mamba-compatible-with-trajectory","title":"Is Mamba Compatible with Trajectory Optimization in Offline Reinforcement Learning?","date":"2024-05-20","arxiv_id":"2405.12094","repositories_listed":1,"syntology":{"n":7,"n_ran":3,"n_constructed":0,"n_ran_checked":2,"n_instrument":1,"n_unverified":4,"n_honours":0,"n_violates":0,"n_no_contract":2,"n_pointer_only":1,"phrase":"3 ran (of which 0 constructed an object rather than computing a result; 2 with no instrument failure: 0 honoured, 0 violated, 2 with no contract checked; 1 where Syntology's instrument failed) · 4 unverified","sample_list":"/paper/is-mamba-compatible-with-trajectory#ran","syntology_url":"https://syntology.ai/paper/2405.12094","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2405.12094"}},"official":{"repos":["AndssY/DeMa"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":0,"n_ran_no_instrument_failure":2,"n_unverified":4,"ran_from_kinds":["official"]}}},{"url":"/paper/irsrmamba-infrared-image-super-resolution-via","slug":"irsrmamba-infrared-image-super-resolution-via","title":"IRSRMamba: Infrared Image Super-Resolution via Mamba-based Wavelet Transform Feature Modulation Model","date":"2024-05-16","arxiv_id":"2405.09873","repositories_listed":1,"syntology":{"n":15,"n_ran":12,"n_constructed":0,"n_ran_checked":5,"n_instrument":7,"n_unverified":3,"n_honours":0,"n_violates":0,"n_no_contract":5,"n_pointer_only":1,"phrase":"12 ran (of which 0 constructed an object rather than computing a result; 5 with no instrument failure: 0 honoured, 0 violated, 5 with no contract checked; 7 where Syntology's instrument failed) · 3 unverified","sample_list":"/paper/irsrmamba-infrared-image-super-resolution-via#ran","syntology_url":"https://syntology.ai/paper/2405.09873","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2405.09873"}},"official":{"repos":["yongsongh/irsrmamba"],"state":"official (archive's flag): 12 ran","n_ran":12,"n_constructed":0,"n_ran_no_instrument_failure":5,"n_unverified":3,"ran_from_kinds":["official"]}}},{"url":"/paper/an-investigation-of-incorporating-mamba-for","slug":"an-investigation-of-incorporating-mamba-for","title":"An Investigation of Incorporating Mamba for Speech Enhancement","date":"2024-05-10","arxiv_id":"2405.06573","repositories_listed":1,"syntology":{"n":14,"n_ran":13,"n_constructed":0,"n_ran_checked":9,"n_instrument":4,"n_unverified":1,"n_honours":0,"n_violates":1,"n_no_contract":8,"n_pointer_only":14,"phrase":"13 ran (of which 0 constructed an object rather than computing a result; 9 with no instrument failure: 0 honoured, 1 violated, 8 with no contract checked; 4 where Syntology's instrument failed) · 1 unverified","sample_list":"/paper/an-investigation-of-incorporating-mamba-for#ran","syntology_url":"https://syntology.ai/paper/2405.06573","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2405.06573"}},"official":{"repos":["roychao19477/semamba"],"state":"official (archive's flag): 13 ran","n_ran":13,"n_constructed":0,"n_ran_no_instrument_failure":9,"n_unverified":1,"ran_from_kinds":["official"]}}},{"url":"/paper/linearizing-large-language-models","slug":"linearizing-large-language-models","title":"Linearizing Large Language Models","date":"2024-05-10","arxiv_id":"2405.06640","repositories_listed":1,"syntology":{"n":18,"n_ran":16,"n_constructed":0,"n_ran_checked":16,"n_instrument":0,"n_unverified":2,"n_honours":0,"n_violates":3,"n_no_contract":13,"n_pointer_only":6,"phrase":"16 ran (of which 0 constructed an object rather than computing a result; 16 with no instrument failure: 0 honoured, 3 violated, 13 with no contract checked; 0 where Syntology's instrument failed) · 2 unverified","sample_list":"/paper/linearizing-large-language-models#ran","syntology_url":"https://syntology.ai/paper/2405.06640","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2405.06640"}},"official":{"repos":["tri-ml/linear_open_lm"],"state":"official (archive's flag): 16 ran","n_ran":16,"n_constructed":0,"n_ran_no_instrument_failure":16,"n_unverified":2,"ran_from_kinds":["official"]}}},{"url":"/paper/rethinking-efficient-and-effective-point","slug":"rethinking-efficient-and-effective-point","title":"Rethinking Efficient and Effective Point-based Networks for Event Camera Classification and Regression: EventMamba","date":"2024-05-09","arxiv_id":"2405.06116","repositories_listed":1,"syntology":{"n":8,"n_ran":5,"n_constructed":0,"n_ran_checked":0,"n_instrument":5,"n_unverified":3,"n_honours":0,"n_violates":0,"n_no_contract":0,"n_pointer_only":0,"phrase":"5 ran (of which 0 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 5 where Syntology's instrument failed) · 3 unverified","sample_list":"/paper/rethinking-efficient-and-effective-point#ran","syntology_url":"https://syntology.ai/paper/2405.06116","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2405.06116"}},"official":{"repos":["rhwxmx/eventmamba"],"state":"official (archive's flag): 5 ran","n_ran":5,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":3,"ran_from_kinds":["official"]}}},{"url":"/paper/frequency-assisted-mamba-for-remote-sensing","slug":"frequency-assisted-mamba-for-remote-sensing","title":"Frequency-Assisted Mamba for Remote Sensing Image Super-Resolution","date":"2024-05-08","arxiv_id":"2405.04964","repositories_listed":1,"syntology":{"n":1,"n_ran":1,"n_constructed":0,"n_ran_checked":1,"n_instrument":0,"n_unverified":0,"n_honours":1,"n_violates":0,"n_no_contract":0,"n_pointer_only":1,"phrase":"1 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 1 honoured, 0 violated, 0 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/frequency-assisted-mamba-for-remote-sensing#ran","syntology_url":"https://syntology.ai/paper/2405.04964","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2405.04964"}},"official":{"repos":["XY-boy/FreMamba"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":0,"n_ran_no_instrument_failure":1,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/retinexmamba-retinex-based-mamba-for-low","slug":"retinexmamba-retinex-based-mamba-for-low","title":"Retinexmamba: Retinex-based Mamba for Low-light Image Enhancement","date":"2024-05-06","arxiv_id":"2405.03349","repositories_listed":1,"syntology":{"n":21,"n_ran":20,"n_constructed":0,"n_ran_checked":15,"n_instrument":5,"n_unverified":1,"n_honours":1,"n_violates":0,"n_no_contract":14,"n_pointer_only":13,"phrase":"20 ran (of which 0 constructed an object rather than computing a result; 15 with no instrument failure: 1 honoured, 0 violated, 14 with no contract checked; 5 where Syntology's instrument failed) · 1 unverified","sample_list":"/paper/retinexmamba-retinex-based-mamba-for-low#ran","syntology_url":"https://syntology.ai/paper/2405.03349","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2405.03349"}},"official":{"repos":["YhuoyuH/RetinexMamba"],"state":"official (archive's flag): 20 ran","n_ran":20,"n_constructed":0,"n_ran_no_instrument_failure":15,"n_unverified":1,"ran_from_kinds":["official"]}}},{"url":"/paper/rscama-remote-sensing-image-change-captioning","slug":"rscama-remote-sensing-image-change-captioning","title":"RSCaMa: Remote Sensing Image Change Captioning with State Space Model","date":"2024-04-29","arxiv_id":"2404.18895","repositories_listed":1,"syntology":{"n":11,"n_ran":11,"n_constructed":0,"n_ran_checked":6,"n_instrument":5,"n_unverified":0,"n_honours":0,"n_violates":1,"n_no_contract":5,"n_pointer_only":11,"phrase":"11 ran (of which 0 constructed an object rather than computing a result; 6 with no instrument failure: 0 honoured, 1 violated, 5 with no contract checked; 5 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/rscama-remote-sensing-image-change-captioning#ran","syntology_url":"https://syntology.ai/paper/2404.18895","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2404.18895"}},"official":{"repos":["chen-yang-liu/rscama"],"state":"official (archive's flag): 11 ran","n_ran":11,"n_constructed":0,"n_ran_no_instrument_failure":6,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/mamba-fetrack-frame-event-tracking-via-state","slug":"mamba-fetrack-frame-event-tracking-via-state","title":"Mamba-FETrack: Frame-Event Tracking via State Space Model","date":"2024-04-28","arxiv_id":"2404.18174","repositories_listed":2,"syntology":{"n":11,"n_ran":11,"n_constructed":0,"n_ran_checked":11,"n_instrument":0,"n_unverified":0,"n_honours":1,"n_violates":0,"n_no_contract":10,"n_pointer_only":11,"phrase":"11 ran (of which 0 constructed an object rather than computing a result; 11 with no instrument failure: 1 honoured, 0 violated, 10 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/mamba-fetrack-frame-event-tracking-via-state#ran","syntology_url":"https://syntology.ai/paper/2404.18174","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2404.18174"}},"official":{"repos":["event-ahu/mamba_fetrack","event-ahu/mamba_state_space_model_paper_list"],"state":"official (archive's flag): 11 ran","n_ran":11,"n_constructed":0,"n_ran_no_instrument_failure":11,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/cfmw-cross-modality-fusion-mamba-for","slug":"cfmw-cross-modality-fusion-mamba-for","title":"CFMW: Cross-modality Fusion Mamba for Multispectral Object Detection under Adverse Weather Conditions","date":"2024-04-25","arxiv_id":"2404.16302","repositories_listed":1,"syntology":{"n":7,"n_ran":6,"n_constructed":0,"n_ran_checked":3,"n_instrument":3,"n_unverified":1,"n_honours":1,"n_violates":0,"n_no_contract":2,"n_pointer_only":7,"phrase":"6 ran (of which 0 constructed an object rather than computing a result; 3 with no instrument failure: 1 honoured, 0 violated, 2 with no contract checked; 3 where Syntology's instrument failed) · 1 unverified","sample_list":"/paper/cfmw-cross-modality-fusion-mamba-for#ran","syntology_url":"https://syntology.ai/paper/2404.16302","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2404.16302"}},"official":{"repos":["lhy-zjut/cfmw"],"state":"official (archive's flag): 6 ran","n_ran":6,"n_constructed":0,"n_ran_no_instrument_failure":3,"n_unverified":1,"ran_from_kinds":["official"]}}},{"url":"/paper/integrating-mamba-and-transformer-for-long","slug":"integrating-mamba-and-transformer-for-long","title":"SST: Multi-Scale Hybrid Mamba-Transformer Experts for Long-Short Range Time Series Forecasting","date":"2024-04-23","arxiv_id":"2404.14757","repositories_listed":2,"syntology":{"n":3,"n_ran":2,"n_constructed":0,"n_ran_checked":2,"n_instrument":0,"n_unverified":1,"n_honours":1,"n_violates":0,"n_no_contract":1,"n_pointer_only":3,"phrase":"2 ran (of which 0 constructed an object rather than computing a result; 2 with no instrument failure: 1 honoured, 0 violated, 1 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified","sample_list":"/paper/integrating-mamba-and-transformer-for-long#ran","syntology_url":"https://syntology.ai/paper/2404.14757","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2404.14757"}},"official":{"repos":["xiongxiaoxu/sst","XiongxiaoXu/Mambaformer-in-Time-Series"],"state":"official (archive's flag): 2 ran","n_ran":2,"n_constructed":0,"n_ran_no_instrument_failure":2,"n_unverified":1,"ran_from_kinds":["official"]}}},{"url":"/paper/mamba3d-enhancing-local-features-for-3d-point","slug":"mamba3d-enhancing-local-features-for-3d-point","title":"Mamba3D: Enhancing Local Features for 3D Point Cloud Analysis via State Space Model","date":"2024-04-23","arxiv_id":"2404.14966","repositories_listed":1,"syntology":{"n":7,"n_ran":7,"n_constructed":0,"n_ran_checked":6,"n_instrument":1,"n_unverified":0,"n_honours":2,"n_violates":0,"n_no_contract":4,"n_pointer_only":7,"phrase":"7 ran (of which 0 constructed an object rather than computing a result; 6 with no instrument failure: 2 honoured, 0 violated, 4 with no contract checked; 1 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/mamba3d-enhancing-local-features-for-3d-point#ran","syntology_url":"https://syntology.ai/paper/2404.14966","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2404.14966"}},"official":{"repos":["xhanxu/Mamba3D"],"state":"official (archive's flag): 7 ran","n_ran":7,"n_constructed":0,"n_ran_no_instrument_failure":6,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/vim4path-self-supervised-vision-mamba-for","slug":"vim4path-self-supervised-vision-mamba-for","title":"Vim4Path: Self-Supervised Vision Mamba for Histopathology Images","date":"2024-04-20","arxiv_id":"2404.13222","repositories_listed":1,"syntology":{"n":2,"n_ran":2,"n_constructed":0,"n_ran_checked":0,"n_instrument":2,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":0,"n_pointer_only":1,"phrase":"2 ran (of which 0 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 2 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/vim4path-self-supervised-vision-mamba-for#ran","syntology_url":"https://syntology.ai/paper/2404.13222","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2404.13222"}},"official":{"repos":["atlasanalyticslab/vim4path"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":0,"ran_from_kinds":["official","unlocated"]}}},{"url":"/paper/freqmamba-viewing-mamba-from-a-frequency","slug":"freqmamba-viewing-mamba-from-a-frequency","title":"FreqMamba: Viewing Mamba from a Frequency Perspective for Image Deraining","date":"2024-04-15","arxiv_id":"2404.09476","repositories_listed":1,"syntology":{"n":3,"n_ran":3,"n_constructed":0,"n_ran_checked":2,"n_instrument":1,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":2,"n_pointer_only":3,"phrase":"3 ran (of which 0 constructed an object rather than computing a result; 2 with no instrument failure: 0 honoured, 0 violated, 2 with no contract checked; 1 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/freqmamba-viewing-mamba-from-a-frequency#ran","syntology_url":"https://syntology.ai/paper/2404.09476","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2404.09476"}},"official":{"repos":["asleepytree/freqmamba"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":0,"n_ran_no_instrument_failure":2,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/fusionmamba-dynamic-feature-enhancement-for","slug":"fusionmamba-dynamic-feature-enhancement-for","title":"FusionMamba: Dynamic Feature Enhancement for Multimodal Image Fusion with Mamba","date":"2024-04-15","arxiv_id":"2404.09498","repositories_listed":1,"syntology":{"n":7,"n_ran":7,"n_constructed":0,"n_ran_checked":6,"n_instrument":1,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":6,"n_pointer_only":7,"phrase":"7 ran (of which 0 constructed an object rather than computing a result; 6 with no instrument failure: 0 honoured, 0 violated, 6 with no contract checked; 1 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/fusionmamba-dynamic-feature-enhancement-for#ran","syntology_url":"https://syntology.ai/paper/2404.09498","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2404.09498"}},"official":{"repos":["milliexie/fusionmamba"],"state":"official (archive's flag): 7 ran","n_ran":7,"n_constructed":0,"n_ran_no_instrument_failure":6,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/nnu-net-revisited-a-call-for-rigorous","slug":"nnu-net-revisited-a-call-for-rigorous","title":"nnU-Net Revisited: A Call for Rigorous Validation in 3D Medical Image Segmentation","date":"2024-04-15","arxiv_id":"2404.09556","repositories_listed":3,"syntology":{"n":7,"n_ran":7,"n_constructed":0,"n_ran_checked":7,"n_instrument":0,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":7,"n_pointer_only":2,"phrase":"7 ran (of which 0 constructed an object rather than computing a result; 7 with no instrument failure: 0 honoured, 0 violated, 7 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/nnu-net-revisited-a-call-for-rigorous#ran","syntology_url":"https://syntology.ai/paper/2404.09556","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2404.09556"}},"official":{"repos":["MIC-DKFZ/nnunet"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":0,"n_ran_no_instrument_failure":3,"n_unverified":0,"ran_from_kinds":["listed","official"]}}},{"url":"/paper/mambadfuse-a-mamba-based-dual-phase-model-for","slug":"mambadfuse-a-mamba-based-dual-phase-model-for","title":"MambaDFuse: A Mamba-based Dual-phase Model for Multi-modality Image Fusion","date":"2024-04-12","arxiv_id":"2404.08406","repositories_listed":1,"syntology":{"n":4,"n_ran":4,"n_constructed":0,"n_ran_checked":0,"n_instrument":4,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":0,"n_pointer_only":4,"phrase":"4 ran (of which 0 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 4 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/mambadfuse-a-mamba-based-dual-phase-model-for#ran","syntology_url":"https://syntology.ai/paper/2404.08406","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2404.08406"}},"official":{"repos":["Lizhe1228/MambaDFuse"],"state":"official (archive's flag): 2 ran","n_ran":2,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":0,"ran_from_kinds":["official","unlocated"]}}},{"url":"/paper/the-illusion-of-state-in-state-space-models","slug":"the-illusion-of-state-in-state-space-models","title":"The Illusion of State in State-Space Models","date":"2024-04-12","arxiv_id":"2404.08819","repositories_listed":1,"syntology":{"n":4,"n_ran":4,"n_constructed":0,"n_ran_checked":1,"n_instrument":3,"n_unverified":0,"n_honours":0,"n_violates":1,"n_no_contract":0,"n_pointer_only":4,"phrase":"4 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 1 violated, 0 with no contract checked; 3 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/the-illusion-of-state-in-state-space-models#ran","syntology_url":"https://syntology.ai/paper/2404.08819","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2404.08819"}},"official":null}},{"url":"/paper/dgmamba-domain-generalization-via-generalized","slug":"dgmamba-domain-generalization-via-generalized","title":"DGMamba: Domain Generalization via Generalized State Space Model","date":"2024-04-11","arxiv_id":"2404.07794","repositories_listed":1,"syntology":{"n":19,"n_ran":15,"n_constructed":0,"n_ran_checked":15,"n_instrument":0,"n_unverified":4,"n_honours":1,"n_violates":0,"n_no_contract":14,"n_pointer_only":19,"phrase":"15 ran (of which 0 constructed an object rather than computing a result; 15 with no instrument failure: 1 honoured, 0 violated, 14 with no contract checked; 0 where Syntology's instrument failed) · 4 unverified","sample_list":"/paper/dgmamba-domain-generalization-via-generalized#ran","syntology_url":"https://syntology.ai/paper/2404.07794","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2404.07794"}},"official":{"repos":["longshaocong/dgmamba"],"state":"official (archive's flag): 15 ran","n_ran":15,"n_constructed":0,"n_ran_no_instrument_failure":15,"n_unverified":4,"ran_from_kinds":["official"]}}},{"url":"/paper/fusionmamba-efficient-image-fusion-with-state","slug":"fusionmamba-efficient-image-fusion-with-state","title":"FusionMamba: Efficient Remote Sensing Image Fusion with State Space Model","date":"2024-04-11","arxiv_id":"2404.07932","repositories_listed":1,"syntology":{"n":7,"n_ran":7,"n_constructed":0,"n_ran_checked":7,"n_instrument":0,"n_unverified":0,"n_honours":2,"n_violates":0,"n_no_contract":5,"n_pointer_only":7,"phrase":"7 ran (of which 0 constructed an object rather than computing a result; 7 with no instrument failure: 2 honoured, 0 violated, 5 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/fusionmamba-efficient-image-fusion-with-state#ran","syntology_url":"https://syntology.ai/paper/2404.07932","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2404.07932"}},"official":{"repos":["PSRben/FusionMamba"],"state":"official (archive's flag): 7 ran","n_ran":7,"n_constructed":0,"n_ran_no_instrument_failure":7,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/rhythmmamba-fast-remote-physiological","slug":"rhythmmamba-fast-remote-physiological","title":"RhythmMamba: Fast Remote Physiological Measurement with Arbitrary Length Videos","date":"2024-04-09","arxiv_id":"2404.06483","repositories_listed":1,"syntology":{"n":8,"n_ran":5,"n_constructed":0,"n_ran_checked":5,"n_instrument":0,"n_unverified":3,"n_honours":0,"n_violates":0,"n_no_contract":5,"n_pointer_only":4,"phrase":"5 ran (of which 0 constructed an object rather than computing a result; 5 with no instrument failure: 0 honoured, 0 violated, 5 with no contract checked; 0 where Syntology's instrument failed) · 3 unverified","sample_list":"/paper/rhythmmamba-fast-remote-physiological#ran","syntology_url":"https://syntology.ai/paper/2404.06483","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2404.06483"}},"official":{"repos":["zizheng-guo/rhythmmamba"],"state":"official (archive's flag): 5 ran","n_ran":5,"n_constructed":0,"n_ran_no_instrument_failure":5,"n_unverified":3,"ran_from_kinds":["official"]}}},{"url":"/paper/mambaad-exploring-state-space-models-for","slug":"mambaad-exploring-state-space-models-for","title":"MambaAD: Exploring State Space Models for Multi-class Unsupervised Anomaly Detection","date":"2024-04-09","arxiv_id":"2404.06564","repositories_listed":3,"syntology":{"n":3,"n_ran":3,"n_constructed":0,"n_ran_checked":0,"n_instrument":3,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":0,"n_pointer_only":3,"phrase":"3 ran (of which 0 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 3 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/mambaad-exploring-state-space-models-for#ran","syntology_url":"https://syntology.ai/paper/2404.06564","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2404.06564"}},"official":{"repos":["lewandofskee/mambaad"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/sigma-siamese-mamba-network-for-multi-modal","slug":"sigma-siamese-mamba-network-for-multi-modal","title":"Sigma: Siamese Mamba Network for Multi-Modal Semantic Segmentation","date":"2024-04-05","arxiv_id":"2404.04256","repositories_listed":1,"syntology":{"n":4,"n_ran":3,"n_constructed":0,"n_ran_checked":3,"n_instrument":0,"n_unverified":1,"n_honours":0,"n_violates":0,"n_no_contract":3,"n_pointer_only":1,"phrase":"3 ran (of which 0 constructed an object rather than computing a result; 3 with no instrument failure: 0 honoured, 0 violated, 3 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified","sample_list":"/paper/sigma-siamese-mamba-network-for-multi-modal#ran","syntology_url":"https://syntology.ai/paper/2404.04256","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2404.04256"}},"official":{"repos":["zifuwan/sigma"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":0,"n_ran_no_instrument_failure":3,"n_unverified":1,"ran_from_kinds":["official"]}}},{"url":"/paper/changemamba-remote-sensing-change-detection","slug":"changemamba-remote-sensing-change-detection","title":"ChangeMamba: Remote Sensing Change Detection With Spatiotemporal State Space Model","date":"2024-04-04","arxiv_id":"2404.03425","repositories_listed":1,"syntology":{"n":9,"n_ran":5,"n_constructed":0,"n_ran_checked":5,"n_instrument":0,"n_unverified":4,"n_honours":0,"n_violates":0,"n_no_contract":5,"n_pointer_only":0,"phrase":"5 ran (of which 0 constructed an object rather than computing a result; 5 with no instrument failure: 0 honoured, 0 violated, 5 with no contract checked; 0 where Syntology's instrument failed) · 4 unverified","sample_list":"/paper/changemamba-remote-sensing-change-detection#ran","syntology_url":"https://syntology.ai/paper/2404.03425","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2404.03425"}},"official":{"repos":["chenhongruixuan/mambacd"],"state":"official (archive's flag): 5 ran","n_ran":5,"n_constructed":0,"n_ran_no_instrument_failure":5,"n_unverified":4,"ran_from_kinds":["official"]}}},{"url":"/paper/locating-and-editing-factual-associations-in","slug":"locating-and-editing-factual-associations-in","title":"Locating and Editing Factual Associations in Mamba","date":"2024-04-04","arxiv_id":"2404.03646","repositories_listed":1,"syntology":{"n":8,"n_ran":7,"n_constructed":0,"n_ran_checked":7,"n_instrument":0,"n_unverified":1,"n_honours":0,"n_violates":0,"n_no_contract":7,"n_pointer_only":8,"phrase":"7 ran (of which 0 constructed an object rather than computing a result; 7 with no instrument failure: 0 honoured, 0 violated, 7 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified","sample_list":"/paper/locating-and-editing-factual-associations-in#ran","syntology_url":"https://syntology.ai/paper/2404.03646","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2404.03646"}},"official":{"repos":["arnab-api/romba"],"state":"official (archive's flag): 7 ran","n_ran":7,"n_constructed":0,"n_ran_no_instrument_failure":7,"n_unverified":1,"ran_from_kinds":["official"]}}},{"url":"/paper/rs-mamba-for-large-remote-sensing-image-dense","slug":"rs-mamba-for-large-remote-sensing-image-dense","title":"RS-Mamba for Large Remote Sensing Image Dense Prediction","date":"2024-04-03","arxiv_id":"2404.02668","repositories_listed":1,"syntology":{"n":6,"n_ran":4,"n_constructed":0,"n_ran_checked":4,"n_instrument":0,"n_unverified":2,"n_honours":0,"n_violates":0,"n_no_contract":4,"n_pointer_only":6,"phrase":"4 ran (of which 0 constructed an object rather than computing a result; 4 with no instrument failure: 0 honoured, 0 violated, 4 with no contract checked; 0 where Syntology's instrument failed) · 2 unverified","sample_list":"/paper/rs-mamba-for-large-remote-sensing-image-dense#ran","syntology_url":"https://syntology.ai/paper/2404.02668","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2404.02668"}},"official":{"repos":["walking-shadow/Official_Remote_Sensing_Mamba"],"state":"official (archive's flag): 4 ran","n_ran":4,"n_constructed":0,"n_ran_no_instrument_failure":4,"n_unverified":2,"ran_from_kinds":["official"]}}},{"url":"/paper/samba-semantic-segmentation-of-remotely","slug":"samba-semantic-segmentation-of-remotely","title":"Samba: Semantic Segmentation of Remotely Sensed Images with State Space Model","date":"2024-04-02","arxiv_id":"2404.01705","repositories_listed":1,"syntology":{"n":8,"n_ran":6,"n_constructed":0,"n_ran_checked":6,"n_instrument":0,"n_unverified":2,"n_honours":0,"n_violates":0,"n_no_contract":6,"n_pointer_only":7,"phrase":"6 ran (of which 0 constructed an object rather than computing a result; 6 with no instrument failure: 0 honoured, 0 violated, 6 with no contract checked; 0 where Syntology's instrument failed) · 2 unverified","sample_list":"/paper/samba-semantic-segmentation-of-remotely#ran","syntology_url":"https://syntology.ai/paper/2404.01705","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2404.01705"}},"official":{"repos":["zhuqinfeng1999/samba"],"state":"official (archive's flag): 6 ran","n_ran":6,"n_constructed":0,"n_ran_no_instrument_failure":6,"n_unverified":2,"ran_from_kinds":["official"]}}},{"url":"/paper/spmamba-state-space-model-is-all-you-need-in","slug":"spmamba-state-space-model-is-all-you-need-in","title":"SPMamba: State-space model is all you need in speech separation","date":"2024-04-02","arxiv_id":"2404.02063","repositories_listed":1,"syntology":{"n":3,"n_ran":3,"n_constructed":0,"n_ran_checked":3,"n_instrument":0,"n_unverified":0,"n_honours":2,"n_violates":0,"n_no_contract":1,"n_pointer_only":2,"phrase":"3 ran (of which 0 constructed an object rather than computing a result; 3 with no instrument failure: 2 honoured, 0 violated, 1 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/spmamba-state-space-model-is-all-you-need-in#ran","syntology_url":"https://syntology.ai/paper/2404.02063","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2404.02063"}},"official":{"repos":["jusperlee/spmamba"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":0,"n_ran_no_instrument_failure":3,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/decision-mamba-reinforcement-learning-via","slug":"decision-mamba-reinforcement-learning-via","title":"Decision Mamba: Reinforcement Learning via Sequence Modeling with Selective State Spaces","date":"2024-03-29","arxiv_id":"2403.19925","repositories_listed":1,"syntology":{"n":4,"n_ran":2,"n_constructed":0,"n_ran_checked":1,"n_instrument":1,"n_unverified":2,"n_honours":0,"n_violates":0,"n_no_contract":1,"n_pointer_only":1,"phrase":"2 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 0 violated, 1 with no contract checked; 1 where Syntology's instrument failed) · 2 unverified","sample_list":"/paper/decision-mamba-reinforcement-learning-via#ran","syntology_url":"https://syntology.ai/paper/2403.19925","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2403.19925"}},"official":{"repos":["toshihiro-ota/decision-mamba"],"state":"official (archive's flag): 2 ran","n_ran":2,"n_constructed":0,"n_ran_no_instrument_failure":1,"n_unverified":2,"ran_from_kinds":["official"]}}},{"url":"/paper/ultralight-vm-unet-parallel-vision-mamba","slug":"ultralight-vm-unet-parallel-vision-mamba","title":"UltraLight VM-UNet: Parallel Vision Mamba Significantly Reduces Parameters for Skin Lesion Segmentation","date":"2024-03-29","arxiv_id":"2403.20035","repositories_listed":1,"syntology":{"n":5,"n_ran":5,"n_constructed":0,"n_ran_checked":5,"n_instrument":0,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":5,"n_pointer_only":0,"phrase":"5 ran (of which 0 constructed an object rather than computing a result; 5 with no instrument failure: 0 honoured, 0 violated, 5 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/ultralight-vm-unet-parallel-vision-mamba#ran","syntology_url":"https://syntology.ai/paper/2403.20035","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2403.20035"}},"official":{"repos":["wurenkai/UltraLight-VM-UNet"],"state":"official (archive's flag): 5 ran","n_ran":5,"n_constructed":0,"n_ran_no_instrument_failure":5,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/rsmamba-remote-sensing-image-classification","slug":"rsmamba-remote-sensing-image-classification","title":"RSMamba: Remote Sensing Image Classification with State Space Model","date":"2024-03-28","arxiv_id":"2403.19654","repositories_listed":3,"syntology":{"n":10,"n_ran":10,"n_constructed":0,"n_ran_checked":5,"n_instrument":5,"n_unverified":0,"n_honours":0,"n_violates":1,"n_no_contract":4,"n_pointer_only":4,"phrase":"10 ran (of which 0 constructed an object rather than computing a result; 5 with no instrument failure: 0 honoured, 1 violated, 4 with no contract checked; 5 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/rsmamba-remote-sensing-image-classification#ran","syntology_url":"https://syntology.ai/paper/2403.19654","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2403.19654"}},"official":{"repos":["KyanChen/RSMamba"],"state":"community repositories only","n_ran":0,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":0,"ran_from_kinds":["listed"]}}},{"url":"/paper/dual-path-mamba-short-and-long-term","slug":"dual-path-mamba-short-and-long-term","title":"Dual-path Mamba: Short and Long-term Bidirectional Selective Structured State Space Models for Speech Separation","date":"2024-03-27","arxiv_id":"2403.18257","repositories_listed":1,"syntology":{"n":1,"n_ran":1,"n_constructed":0,"n_ran_checked":1,"n_instrument":0,"n_unverified":0,"n_honours":1,"n_violates":0,"n_no_contract":0,"n_pointer_only":1,"phrase":"1 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 1 honoured, 0 violated, 0 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/dual-path-mamba-short-and-long-term#ran","syntology_url":"https://syntology.ai/paper/2403.18257","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2403.18257"}},"official":{"repos":["xi-j/Mamba-TasNet"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":0,"n_ran_no_instrument_failure":1,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/plainmamba-improving-non-hierarchical-mamba","slug":"plainmamba-improving-non-hierarchical-mamba","title":"PlainMamba: Improving Non-Hierarchical Mamba in Visual Recognition","date":"2024-03-26","arxiv_id":"2403.17695","repositories_listed":2,"syntology":{"n":11,"n_ran":5,"n_constructed":0,"n_ran_checked":5,"n_instrument":0,"n_unverified":6,"n_honours":0,"n_violates":1,"n_no_contract":4,"n_pointer_only":2,"phrase":"5 ran (of which 0 constructed an object rather than computing a result; 5 with no instrument failure: 0 honoured, 1 violated, 4 with no contract checked; 0 where Syntology's instrument failed) · 6 unverified","sample_list":"/paper/plainmamba-improving-non-hierarchical-mamba#ran","syntology_url":"https://syntology.ai/paper/2403.17695","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2403.17695"}},"official":{"repos":["chenhongyiyang/plainmamba"],"state":"community repositories only","n_ran":0,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":0,"ran_from_kinds":["listed"]}}},{"url":"/paper/remamber-referring-image-segmentation-with","slug":"remamber-referring-image-segmentation-with","title":"ReMamber: Referring Image Segmentation with Mamba Twister","date":"2024-03-26","arxiv_id":"2403.17839","repositories_listed":1,"syntology":{"n":9,"n_ran":8,"n_constructed":0,"n_ran_checked":6,"n_instrument":2,"n_unverified":1,"n_honours":1,"n_violates":0,"n_no_contract":5,"n_pointer_only":9,"phrase":"8 ran (of which 0 constructed an object rather than computing a result; 6 with no instrument failure: 1 honoured, 0 violated, 5 with no contract checked; 2 where Syntology's instrument failed) · 1 unverified","sample_list":"/paper/remamber-referring-image-segmentation-with#ran","syntology_url":"https://syntology.ai/paper/2403.17839","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2403.17839"}},"official":{"repos":["yyh-rain-song/ReMamber"],"state":"official (archive's flag): 8 ran","n_ran":8,"n_constructed":0,"n_ran_no_instrument_failure":6,"n_unverified":1,"ran_from_kinds":["official"]}}},{"url":"/paper/mechanistic-design-and-scaling-of-hybrid","slug":"mechanistic-design-and-scaling-of-hybrid","title":"Mechanistic Design and Scaling of Hybrid Architectures","date":"2024-03-26","arxiv_id":"2403.17844","repositories_listed":1,"syntology":{"n":4,"n_ran":4,"n_constructed":0,"n_ran_checked":3,"n_instrument":1,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":3,"n_pointer_only":0,"phrase":"4 ran (of which 0 constructed an object rather than computing a result; 3 with no instrument failure: 0 honoured, 0 violated, 3 with no contract checked; 1 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/mechanistic-design-and-scaling-of-hybrid#ran","syntology_url":"https://syntology.ai/paper/2403.17844","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2403.17844"}},"official":{"repos":["athms/mad-lab"],"state":"official (archive's flag): 4 ran","n_ran":4,"n_constructed":0,"n_ran_no_instrument_failure":3,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/spectral-convolutional-transformer","slug":"spectral-convolutional-transformer","title":"Heracles: A Hybrid SSM-Transformer Model for High-Resolution Image and Time-Series Analysis","date":"2024-03-26","arxiv_id":"2403.18063","repositories_listed":2,"syntology":{"n":4,"n_ran":4,"n_constructed":0,"n_ran_checked":4,"n_instrument":0,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":4,"n_pointer_only":4,"phrase":"4 ran (of which 0 constructed an object rather than computing a result; 4 with no instrument failure: 0 honoured, 0 violated, 4 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/spectral-convolutional-transformer#ran","syntology_url":"https://syntology.ai/paper/2403.18063","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2403.18063"}},"official":{"repos":["badripatro/heracles","badripatro/sct"],"state":"official (archive's flag): 4 ran","n_ran":4,"n_constructed":0,"n_ran_no_instrument_failure":4,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/uncovering-selective-state-space-model-s","slug":"uncovering-selective-state-space-model-s","title":"Uncovering Selective State Space Model's Capabilities in Lifelong Sequential Recommendation","date":"2024-03-25","arxiv_id":"2403.16371","repositories_listed":1,"syntology":{"n":5,"n_ran":3,"n_constructed":0,"n_ran_checked":1,"n_instrument":2,"n_unverified":2,"n_honours":1,"n_violates":0,"n_no_contract":0,"n_pointer_only":5,"phrase":"3 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 1 honoured, 0 violated, 0 with no contract checked; 2 where Syntology's instrument failed) · 2 unverified","sample_list":"/paper/uncovering-selective-state-space-model-s#ran","syntology_url":"https://syntology.ai/paper/2403.16371","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2403.16371"}},"official":{"repos":["nancheng58/recmamba"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":0,"n_ran_no_instrument_failure":1,"n_unverified":2,"ran_from_kinds":["official"]}}},{"url":"/paper/state-space-models-as-foundation-models-a","slug":"state-space-models-as-foundation-models-a","title":"State Space Models as Foundation Models: A Control Theoretic Overview","date":"2024-03-25","arxiv_id":"2403.16899","repositories_listed":1,"syntology":{"n":9,"n_ran":6,"n_constructed":0,"n_ran_checked":5,"n_instrument":1,"n_unverified":3,"n_honours":0,"n_violates":0,"n_no_contract":5,"n_pointer_only":7,"phrase":"6 ran (of which 0 constructed an object rather than computing a result; 5 with no instrument failure: 0 honoured, 0 violated, 5 with no contract checked; 1 where Syntology's instrument failed) · 3 unverified","sample_list":"/paper/state-space-models-as-foundation-models-a#ran","syntology_url":"https://syntology.ai/paper/2403.16899","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2403.16899"}},"official":{"repos":["jsie7/ssm-benchmark"],"state":"official (archive's flag): 6 ran","n_ran":6,"n_constructed":0,"n_ran_no_instrument_failure":5,"n_unverified":3,"ran_from_kinds":["official"]}}},{"url":"/paper/simba-simplified-mamba-based-architecture-for","slug":"simba-simplified-mamba-based-architecture-for","title":"SiMBA: Simplified Mamba-Based Architecture for Vision and Multivariate Time series","date":"2024-03-22","arxiv_id":"2403.15360","repositories_listed":3,"syntology":{"n":4,"n_ran":4,"n_constructed":0,"n_ran_checked":4,"n_instrument":0,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":4,"n_pointer_only":4,"phrase":"4 ran (of which 0 constructed an object rather than computing a result; 4 with no instrument failure: 0 honoured, 0 violated, 4 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/simba-simplified-mamba-based-architecture-for#ran","syntology_url":"https://syntology.ai/paper/2403.15360","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2403.15360"}},"official":{"repos":["badripatro/simba"],"state":"official (archive's flag): 4 ran","n_ran":4,"n_constructed":0,"n_ran_no_instrument_failure":4,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/cobra-extending-mamba-to-multi-modal-large","slug":"cobra-extending-mamba-to-multi-modal-large","title":"Cobra: Extending Mamba to Multi-Modal Large Language Model for Efficient Inference","date":"2024-03-21","arxiv_id":"2403.14520","repositories_listed":1,"syntology":{"n":1,"n_ran":1,"n_constructed":0,"n_ran_checked":1,"n_instrument":0,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":1,"n_pointer_only":0,"phrase":"1 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 0 violated, 1 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/cobra-extending-mamba-to-multi-modal-large#ran","syntology_url":"https://syntology.ai/paper/2403.14520","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2403.14520"}},"official":{"repos":["h-zhao1997/cobra"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":0,"n_ran_no_instrument_failure":1,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/h-vmunet-high-order-vision-mamba-unet-for","slug":"h-vmunet-high-order-vision-mamba-unet-for","title":"H-vmunet: High-order Vision Mamba UNet for Medical Image Segmentation","date":"2024-03-20","arxiv_id":"2403.13642","repositories_listed":1,"syntology":{"n":6,"n_ran":6,"n_constructed":0,"n_ran_checked":6,"n_instrument":0,"n_unverified":0,"n_honours":1,"n_violates":0,"n_no_contract":5,"n_pointer_only":6,"phrase":"6 ran (of which 0 constructed an object rather than computing a result; 6 with no instrument failure: 1 honoured, 0 violated, 5 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/h-vmunet-high-order-vision-mamba-unet-for#ran","syntology_url":"https://syntology.ai/paper/2403.13642","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2403.13642"}},"official":{"repos":["wurenkai/h-vmunet"],"state":"official (archive's flag): 6 ran","n_ran":6,"n_constructed":0,"n_ran_no_instrument_failure":6,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/zigma-zigzag-mamba-diffusion-model","slug":"zigma-zigzag-mamba-diffusion-model","title":"ZigMa: A DiT-style Zigzag Mamba Diffusion Model","date":"2024-03-20","arxiv_id":"2403.13802","repositories_listed":1,"syntology":{"n":14,"n_ran":13,"n_constructed":0,"n_ran_checked":10,"n_instrument":3,"n_unverified":1,"n_honours":1,"n_violates":1,"n_no_contract":8,"n_pointer_only":4,"phrase":"13 ran (of which 0 constructed an object rather than computing a result; 10 with no instrument failure: 1 honoured, 1 violated, 8 with no contract checked; 3 where Syntology's instrument failed) · 1 unverified","sample_list":"/paper/zigma-zigzag-mamba-diffusion-model#ran","syntology_url":"https://syntology.ai/paper/2403.13802","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2403.13802"}},"official":{"repos":["CompVis/zigma"],"state":"official (archive's flag): 13 ran","n_ran":13,"n_constructed":0,"n_ran_no_instrument_failure":10,"n_unverified":1,"ran_from_kinds":["official"]}}},{"url":"/paper/stg-mamba-spatial-temporal-graph-learning-via","slug":"stg-mamba-spatial-temporal-graph-learning-via","title":"STG-Mamba: Spatial-Temporal Graph Learning via Selective State Space Model","date":"2024-03-19","arxiv_id":"2403.12418","repositories_listed":1,"syntology":{"n":5,"n_ran":2,"n_constructed":0,"n_ran_checked":2,"n_instrument":0,"n_unverified":3,"n_honours":0,"n_violates":0,"n_no_contract":2,"n_pointer_only":5,"phrase":"2 ran (of which 0 constructed an object rather than computing a result; 2 with no instrument failure: 0 honoured, 0 violated, 2 with no contract checked; 0 where Syntology's instrument failed) · 3 unverified","sample_list":"/paper/stg-mamba-spatial-temporal-graph-learning-via#ran","syntology_url":"https://syntology.ai/paper/2403.12418","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2403.12418"}},"official":{"repos":["LincanLi98/STG-Mamba"],"state":"official (archive's flag): 2 ran","n_ran":2,"n_constructed":0,"n_ran_no_instrument_failure":2,"n_unverified":3,"ran_from_kinds":["official"]}}},{"url":"/paper/efficientvmamba-atrous-selective-scan-for","slug":"efficientvmamba-atrous-selective-scan-for","title":"EfficientVMamba: Atrous Selective Scan for Light Weight Visual Mamba","date":"2024-03-15","arxiv_id":"2403.09977","repositories_listed":1,"syntology":{"n":18,"n_ran":9,"n_constructed":0,"n_ran_checked":7,"n_instrument":2,"n_unverified":9,"n_honours":1,"n_violates":0,"n_no_contract":6,"n_pointer_only":18,"phrase":"9 ran (of which 0 constructed an object rather than computing a result; 7 with no instrument failure: 1 honoured, 0 violated, 6 with no contract checked; 2 where Syntology's instrument failed) · 9 unverified","sample_list":"/paper/efficientvmamba-atrous-selective-scan-for#ran","syntology_url":"https://syntology.ai/paper/2403.09977","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2403.09977"}},"official":{"repos":["terrypei/efficientvmamba"],"state":"official (archive's flag): 9 ran","n_ran":9,"n_constructed":0,"n_ran_no_instrument_failure":7,"n_unverified":9,"ran_from_kinds":["official"]}}},{"url":"/paper/localmamba-visual-state-space-model-with","slug":"localmamba-visual-state-space-model-with","title":"LocalMamba: Visual State Space Model with Windowed Selective Scan","date":"2024-03-14","arxiv_id":"2403.09338","repositories_listed":2,"syntology":{"n":3,"n_ran":1,"n_constructed":0,"n_ran_checked":1,"n_instrument":0,"n_unverified":2,"n_honours":1,"n_violates":0,"n_no_contract":0,"n_pointer_only":1,"phrase":"1 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 1 honoured, 0 violated, 0 with no contract checked; 0 where Syntology's instrument failed) · 2 unverified","sample_list":"/paper/localmamba-visual-state-space-model-with#ran","syntology_url":"https://syntology.ai/paper/2403.09338","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2403.09338"}},"official":{"repos":["hunto/localmamba"],"state":"official: harvested, nothing ran","n_ran":0,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":2,"ran_from_kinds":["unlocated"]}}},{"url":"/paper/mambatalk-efficient-holistic-gesture","slug":"mambatalk-efficient-holistic-gesture","title":"MambaTalk: Efficient Holistic Gesture Synthesis with Selective State Space Models","date":"2024-03-14","arxiv_id":"2403.09471","repositories_listed":1,"syntology":{"n":1,"n_ran":1,"n_constructed":0,"n_ran_checked":1,"n_instrument":0,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":1,"n_pointer_only":0,"phrase":"1 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 0 violated, 1 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/mambatalk-efficient-holistic-gesture#ran","syntology_url":"https://syntology.ai/paper/2403.09471","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2403.09471"}},"official":{"repos":["kkakkkka/MambaTalk"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":0,"n_ran_no_instrument_failure":1,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/video-mamba-suite-state-space-model-as-a","slug":"video-mamba-suite-state-space-model-as-a","title":"Video Mamba Suite: State Space Model as a Versatile Alternative for Video Understanding","date":"2024-03-14","arxiv_id":"2403.09626","repositories_listed":1,"syntology":{"n":13,"n_ran":10,"n_constructed":0,"n_ran_checked":10,"n_instrument":0,"n_unverified":3,"n_honours":0,"n_violates":0,"n_no_contract":10,"n_pointer_only":2,"phrase":"10 ran (of which 0 constructed an object rather than computing a result; 10 with no instrument failure: 0 honoured, 0 violated, 10 with no contract checked; 0 where Syntology's instrument failed) · 3 unverified","sample_list":"/paper/video-mamba-suite-state-space-model-as-a#ran","syntology_url":"https://syntology.ai/paper/2403.09626","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2403.09626"}},"official":{"repos":["opengvlab/video-mamba-suite"],"state":"official (archive's flag): 10 ran","n_ran":10,"n_constructed":0,"n_ran_no_instrument_failure":10,"n_unverified":3,"ran_from_kinds":["official"]}}},{"url":"/paper/mamba-an-effective-world-model-approach-for","slug":"mamba-an-effective-world-model-approach-for","title":"MAMBA: an Effective World Model Approach for Meta-Reinforcement Learning","date":"2024-03-14","arxiv_id":"2403.09859","repositories_listed":1,"syntology":{"n":9,"n_ran":7,"n_constructed":0,"n_ran_checked":5,"n_instrument":2,"n_unverified":2,"n_honours":2,"n_violates":0,"n_no_contract":3,"n_pointer_only":9,"phrase":"7 ran (of which 0 constructed an object rather than computing a result; 5 with no instrument failure: 2 honoured, 0 violated, 3 with no contract checked; 2 where Syntology's instrument failed) · 2 unverified","sample_list":"/paper/mamba-an-effective-world-model-approach-for#ran","syntology_url":"https://syntology.ai/paper/2403.09859","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2403.09859"}},"official":{"repos":["zoharri/mamba"],"state":"official (archive's flag): 7 ran","n_ran":7,"n_constructed":0,"n_ran_no_instrument_failure":5,"n_unverified":2,"ran_from_kinds":["official"]}}},{"url":"/paper/activating-wider-areas-in-image-super","slug":"activating-wider-areas-in-image-super","title":"Activating Wider Areas in Image Super-Resolution","date":"2024-03-13","arxiv_id":"2403.08330","repositories_listed":1,"syntology":{"n":15,"n_ran":12,"n_constructed":0,"n_ran_checked":6,"n_instrument":6,"n_unverified":3,"n_honours":0,"n_violates":0,"n_no_contract":6,"n_pointer_only":8,"phrase":"12 ran (of which 0 constructed an object rather than computing a result; 6 with no instrument failure: 0 honoured, 0 violated, 6 with no contract checked; 6 where Syntology's instrument failed) · 3 unverified","sample_list":"/paper/activating-wider-areas-in-image-super#ran","syntology_url":"https://syntology.ai/paper/2403.08330","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2403.08330"}},"official":null}},{"url":"/paper/large-window-based-mamba-unet-for-medical","slug":"large-window-based-mamba-unet-for-medical","title":"LKM-UNet: Large Kernel Vision Mamba UNet for Medical Image Segmentation","date":"2024-03-12","arxiv_id":"2403.07332","repositories_listed":2,"syntology":{"n":11,"n_ran":11,"n_constructed":0,"n_ran_checked":11,"n_instrument":0,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":11,"n_pointer_only":11,"phrase":"11 ran (of which 0 constructed an object rather than computing a result; 11 with no instrument failure: 0 honoured, 0 violated, 11 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/large-window-based-mamba-unet-for-medical#ran","syntology_url":"https://syntology.ai/paper/2403.07332","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2403.07332"}},"official":{"repos":["wjh892521292/lkm-unet","wjh892521292/lma-unet"],"state":"official (archive's flag): 11 ran","n_ran":11,"n_constructed":0,"n_ran_no_instrument_failure":11,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/ssm-meets-video-diffusion-models-efficient","slug":"ssm-meets-video-diffusion-models-efficient","title":"SSM Meets Video Diffusion Models: Efficient Long-Term Video Generation with Structured State Spaces","date":"2024-03-12","arxiv_id":"2403.07711","repositories_listed":1,"syntology":{"n":11,"n_ran":6,"n_constructed":0,"n_ran_checked":6,"n_instrument":0,"n_unverified":5,"n_honours":0,"n_violates":4,"n_no_contract":2,"n_pointer_only":2,"phrase":"6 ran (of which 0 constructed an object rather than computing a result; 6 with no instrument failure: 0 honoured, 4 violated, 2 with no contract checked; 0 where Syntology's instrument failed) · 5 unverified","sample_list":"/paper/ssm-meets-video-diffusion-models-efficient#ran","syntology_url":"https://syntology.ai/paper/2403.07711","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2403.07711"}},"official":{"repos":["shim0114/ssm-meets-video-diffusion-models"],"state":"official (archive's flag): 6 ran","n_ran":6,"n_constructed":0,"n_ran_no_instrument_failure":6,"n_unverified":5,"ran_from_kinds":["official"]}}},{"url":"/paper/point-mamba-a-novel-point-cloud-backbone","slug":"point-mamba-a-novel-point-cloud-backbone","title":"Point Mamba: A Novel Point Cloud Backbone Based on State Space Model with Octree-Based Ordering Strategy","date":"2024-03-11","arxiv_id":"2403.06467","repositories_listed":1,"syntology":{"n":3,"n_ran":2,"n_constructed":0,"n_ran_checked":2,"n_instrument":0,"n_unverified":1,"n_honours":0,"n_violates":0,"n_no_contract":2,"n_pointer_only":3,"phrase":"2 ran (of which 0 constructed an object rather than computing a result; 2 with no instrument failure: 0 honoured, 0 violated, 2 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified","sample_list":"/paper/point-mamba-a-novel-point-cloud-backbone#ran","syntology_url":"https://syntology.ai/paper/2403.06467","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2403.06467"}},"official":{"repos":["irmvlab/point-mamba"],"state":"official (archive's flag): 2 ran","n_ran":2,"n_constructed":0,"n_ran_no_instrument_failure":2,"n_unverified":1,"ran_from_kinds":["official"]}}},{"url":"/paper/mambamil-enhancing-long-sequence-modeling","slug":"mambamil-enhancing-long-sequence-modeling","title":"MambaMIL: Enhancing Long Sequence Modeling with Sequence Reordering in Computational Pathology","date":"2024-03-11","arxiv_id":"2403.06800","repositories_listed":2,"syntology":{"n":6,"n_ran":4,"n_constructed":0,"n_ran_checked":3,"n_instrument":1,"n_unverified":2,"n_honours":0,"n_violates":1,"n_no_contract":2,"n_pointer_only":6,"phrase":"4 ran (of which 0 constructed an object rather than computing a result; 3 with no instrument failure: 0 honoured, 1 violated, 2 with no contract checked; 1 where Syntology's instrument failed) · 2 unverified","sample_list":"/paper/mambamil-enhancing-long-sequence-modeling#ran","syntology_url":"https://syntology.ai/paper/2403.06800","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2403.06800"}},"official":{"repos":["isyangshu/mambamil"],"state":"official (archive's flag): 4 ran","n_ran":4,"n_constructed":0,"n_ran_no_instrument_failure":3,"n_unverified":2,"ran_from_kinds":["official"]}}},{"url":"/paper/the-pitfalls-of-next-token-prediction","slug":"the-pitfalls-of-next-token-prediction","title":"The pitfalls of next-token prediction","date":"2024-03-11","arxiv_id":"2403.06963","repositories_listed":1,"syntology":{"n":7,"n_ran":6,"n_constructed":0,"n_ran_checked":6,"n_instrument":0,"n_unverified":1,"n_honours":0,"n_violates":0,"n_no_contract":6,"n_pointer_only":7,"phrase":"6 ran (of which 0 constructed an object rather than computing a result; 6 with no instrument failure: 0 honoured, 0 violated, 6 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified","sample_list":"/paper/the-pitfalls-of-next-token-prediction#ran","syntology_url":"https://syntology.ai/paper/2403.06963","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2403.06963"}},"official":{"repos":["gregorbachmann/next-token-failures"],"state":"official (archive's flag): 6 ran","n_ran":6,"n_constructed":0,"n_ran_no_instrument_failure":6,"n_unverified":1,"ran_from_kinds":["official"]}}},{"url":"/paper/videomamba-state-space-model-for-efficient","slug":"videomamba-state-space-model-for-efficient","title":"VideoMamba: State Space Model for Efficient Video Understanding","date":"2024-03-11","arxiv_id":"2403.06977","repositories_listed":2,"syntology":{"n":15,"n_ran":9,"n_constructed":5,"n_ran_checked":6,"n_instrument":3,"n_unverified":6,"n_honours":1,"n_violates":0,"n_no_contract":5,"n_pointer_only":0,"phrase":"9 ran (of which 5 constructed an object rather than computing a result; 6 with no instrument failure: 1 honoured, 0 violated, 5 with no contract checked; 3 where Syntology's instrument failed) · 6 unverified","sample_list":"/paper/videomamba-state-space-model-for-efficient#ran","syntology_url":"https://syntology.ai/paper/2403.06977","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2403.06977"}},"official":{"repos":["opengvlab/videomamba"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":3,"n_ran_no_instrument_failure":3,"n_unverified":4,"ran_from_kinds":["listed","official"]}}},{"url":"/paper/clinicalmamba-a-generative-clinical-language","slug":"clinicalmamba-a-generative-clinical-language","title":"ClinicalMamba: A Generative Clinical Language Model on Longitudinal Clinical Notes","date":"2024-03-09","arxiv_id":"2403.05795","repositories_listed":1,"syntology":{"n":7,"n_ran":7,"n_constructed":0,"n_ran_checked":7,"n_instrument":0,"n_unverified":0,"n_honours":0,"n_violates":1,"n_no_contract":6,"n_pointer_only":0,"phrase":"7 ran (of which 0 constructed an object rather than computing a result; 7 with no instrument failure: 0 honoured, 1 violated, 6 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/clinicalmamba-a-generative-clinical-language#ran","syntology_url":"https://syntology.ai/paper/2403.05795","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2403.05795"}},"official":{"repos":["whaleloops/clinicalmamba"],"state":"official (archive's flag): 7 ran","n_ran":7,"n_constructed":0,"n_ran_no_instrument_failure":7,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/lightm-unet-mamba-assists-in-lightweight-unet","slug":"lightm-unet-mamba-assists-in-lightweight-unet","title":"LightM-UNet: Mamba Assists in Lightweight UNet for Medical Image Segmentation","date":"2024-03-08","arxiv_id":"2403.05246","repositories_listed":1,"syntology":{"n":6,"n_ran":6,"n_constructed":0,"n_ran_checked":6,"n_instrument":0,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":6,"n_pointer_only":2,"phrase":"6 ran (of which 0 constructed an object rather than computing a result; 6 with no instrument failure: 0 honoured, 0 violated, 6 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/lightm-unet-mamba-assists-in-lightweight-unet#ran","syntology_url":"https://syntology.ai/paper/2403.05246","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2403.05246"}},"official":{"repos":["mrblankness/lightm-unet"],"state":"official (archive's flag): 6 ran","n_ran":6,"n_constructed":0,"n_ran_no_instrument_failure":6,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/medmamba-vision-mamba-for-medical-image","slug":"medmamba-vision-mamba-for-medical-image","title":"MedMamba: Vision Mamba for Medical Image Classification","date":"2024-03-06","arxiv_id":"2403.03849","repositories_listed":1,"syntology":{"n":2,"n_ran":2,"n_constructed":0,"n_ran_checked":1,"n_instrument":1,"n_unverified":0,"n_honours":1,"n_violates":0,"n_no_contract":0,"n_pointer_only":2,"phrase":"2 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 1 honoured, 0 violated, 0 with no contract checked; 1 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/medmamba-vision-mamba-for-medical-image#ran","syntology_url":"https://syntology.ai/paper/2403.03849","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2403.03849"}},"official":{"repos":["YubiaoYue/MedMamba"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":0,"ran_from_kinds":["official","unlocated"]}}},{"url":"/paper/caduceus-bi-directional-equivariant-long","slug":"caduceus-bi-directional-equivariant-long","title":"Caduceus: Bi-Directional Equivariant Long-Range DNA Sequence Modeling","date":"2024-03-05","arxiv_id":"2403.03234","repositories_listed":4,"syntology":{"n":16,"n_ran":9,"n_constructed":1,"n_ran_checked":6,"n_instrument":3,"n_unverified":7,"n_honours":0,"n_violates":0,"n_no_contract":6,"n_pointer_only":3,"phrase":"9 ran (of which 1 constructed an object rather than computing a result; 6 with no instrument failure: 0 honoured, 0 violated, 6 with no contract checked; 3 where Syntology's instrument failed) · 7 unverified","sample_list":"/paper/caduceus-bi-directional-equivariant-long#ran","syntology_url":"https://syntology.ai/paper/2403.03234","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2403.03234"}},"official":{"repos":["kuleshov-group/caduceus"],"state":"official (archive's flag): 6 ran","n_ran":6,"n_constructed":0,"n_ran_no_instrument_failure":3,"n_unverified":1,"ran_from_kinds":["listed","official"]}}},{"url":"/paper/the-hidden-attention-of-mamba-models","slug":"the-hidden-attention-of-mamba-models","title":"The Hidden Attention of Mamba Models","date":"2024-03-03","arxiv_id":"2403.01590","repositories_listed":1,"syntology":{"n":8,"n_ran":6,"n_constructed":0,"n_ran_checked":5,"n_instrument":1,"n_unverified":2,"n_honours":1,"n_violates":0,"n_no_contract":4,"n_pointer_only":8,"phrase":"6 ran (of which 0 constructed an object rather than computing a result; 5 with no instrument failure: 1 honoured, 0 violated, 4 with no contract checked; 1 where Syntology's instrument failed) · 2 unverified","sample_list":"/paper/the-hidden-attention-of-mamba-models#ran","syntology_url":"https://syntology.ai/paper/2403.01590","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2403.01590"}},"official":{"repos":["ameenali/hiddenmambaattn"],"state":"official (archive's flag): 6 ran","n_ran":6,"n_constructed":0,"n_ran_no_instrument_failure":5,"n_unverified":2,"ran_from_kinds":["official"]}}},{"url":"/paper/point-could-mamba-point-cloud-learning-via","slug":"point-could-mamba-point-cloud-learning-via","title":"Point Cloud Mamba: Point Cloud Learning via State Space Model","date":"2024-03-01","arxiv_id":"2403.00762","repositories_listed":2,"syntology":{"n":11,"n_ran":10,"n_constructed":0,"n_ran_checked":10,"n_instrument":0,"n_unverified":1,"n_honours":1,"n_violates":0,"n_no_contract":9,"n_pointer_only":11,"phrase":"10 ran (of which 0 constructed an object rather than computing a result; 10 with no instrument failure: 1 honoured, 0 violated, 9 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified","sample_list":"/paper/point-could-mamba-point-cloud-learning-via#ran","syntology_url":"https://syntology.ai/paper/2403.00762","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2403.00762"}},"official":{"repos":["skyworkai/pointcloudmamba","zhang-tao-whu/pcm"],"state":"official (archive's flag): 10 ran","n_ran":10,"n_constructed":0,"n_ran_no_instrument_failure":10,"n_unverified":1,"ran_from_kinds":["official"]}}},{"url":"/paper/theoretical-foundations-of-deep-selective","slug":"theoretical-foundations-of-deep-selective","title":"Theoretical Foundations of Deep Selective State-Space Models","date":"2024-02-29","arxiv_id":"2402.19047","repositories_listed":1,"syntology":{"n":4,"n_ran":4,"n_constructed":0,"n_ran_checked":1,"n_instrument":3,"n_unverified":0,"n_honours":0,"n_violates":1,"n_no_contract":0,"n_pointer_only":4,"phrase":"4 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 1 violated, 0 with no contract checked; 3 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/theoretical-foundations-of-deep-selective#ran","syntology_url":"https://syntology.ai/paper/2402.19047","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2402.19047"}},"official":{"repos":["benjamin-walker/selective-ssms-and-linear-cdes"],"state":"official (archive's flag): 4 ran","n_ran":4,"n_constructed":0,"n_ran_no_instrument_failure":1,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/griffin-mixing-gated-linear-recurrences-with","slug":"griffin-mixing-gated-linear-recurrences-with","title":"Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models","date":"2024-02-29","arxiv_id":"2402.19427","repositories_listed":4,"syntology":{"n":10,"n_ran":10,"n_constructed":0,"n_ran_checked":10,"n_instrument":0,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":10,"n_pointer_only":0,"phrase":"10 ran (of which 0 constructed an object rather than computing a result; 10 with no instrument failure: 0 honoured, 0 violated, 10 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/griffin-mixing-gated-linear-recurrences-with#ran","syntology_url":"https://syntology.ai/paper/2402.19427","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2402.19427"}},"official":null}},{"url":"/paper/evaluating-quantized-large-language-models","slug":"evaluating-quantized-large-language-models","title":"Evaluating Quantized Large Language Models","date":"2024-02-28","arxiv_id":"2402.18158","repositories_listed":1,"syntology":{"n":12,"n_ran":10,"n_constructed":0,"n_ran_checked":10,"n_instrument":0,"n_unverified":2,"n_honours":0,"n_violates":0,"n_no_contract":10,"n_pointer_only":3,"phrase":"10 ran (of which 0 constructed an object rather than computing a result; 10 with no instrument failure: 0 honoured, 0 violated, 10 with no contract checked; 0 where Syntology's instrument failed) · 2 unverified","sample_list":"/paper/evaluating-quantized-large-language-models#ran","syntology_url":"https://syntology.ai/paper/2402.18158","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2402.18158"}},"official":{"repos":["thu-nics/qllm-eval"],"state":"official (archive's flag): 10 ran","n_ran":10,"n_constructed":0,"n_ran_no_instrument_failure":10,"n_unverified":2,"ran_from_kinds":["official"]}}},{"url":"/paper/simple-linear-attention-language-models","slug":"simple-linear-attention-language-models","title":"Simple linear attention language models balance the recall-throughput tradeoff","date":"2024-02-28","arxiv_id":"2402.18668","repositories_listed":3,"syntology":{"n":10,"n_ran":10,"n_constructed":0,"n_ran_checked":7,"n_instrument":3,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":7,"n_pointer_only":1,"phrase":"10 ran (of which 0 constructed an object rather than computing a result; 7 with no instrument failure: 0 honoured, 0 violated, 7 with no contract checked; 3 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/simple-linear-attention-language-models#ran","syntology_url":"https://syntology.ai/paper/2402.18668","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2402.18668"}},"official":{"repos":["hazyresearch/based","hazyresearch/zoology"],"state":"official (archive's flag): 10 ran","n_ran":10,"n_constructed":0,"n_ran_no_instrument_failure":7,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/densemamba-state-space-models-with-dense","slug":"densemamba-state-space-models-with-dense","title":"DenseMamba: State Space Models with Dense Hidden Connection for Efficient Large Language Models","date":"2024-02-26","arxiv_id":"2403.00818","repositories_listed":1,"syntology":{"n":2,"n_ran":2,"n_constructed":0,"n_ran_checked":2,"n_instrument":0,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":2,"n_pointer_only":2,"phrase":"2 ran (of which 0 constructed an object rather than computing a result; 2 with no instrument failure: 0 honoured, 0 violated, 2 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/densemamba-state-space-models-with-dense#ran","syntology_url":"https://syntology.ai/paper/2403.00818","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2403.00818"}},"official":{"repos":["wailordhe/densessm"],"state":"official (archive's flag): 2 ran","n_ran":2,"n_constructed":0,"n_ran_no_instrument_failure":2,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/res-vmamba-fine-grained-food-category-visual","slug":"res-vmamba-fine-grained-food-category-visual","title":"Res-VMamba: Fine-Grained Food Category Visual Classification Using Selective State Space Models with Deep Residual Learning","date":"2024-02-24","arxiv_id":"2402.15761","repositories_listed":1,"syntology":{"n":3,"n_ran":3,"n_constructed":0,"n_ran_checked":3,"n_instrument":0,"n_unverified":0,"n_honours":3,"n_violates":0,"n_no_contract":0,"n_pointer_only":3,"phrase":"3 ran (of which 0 constructed an object rather than computing a result; 3 with no instrument failure: 3 honoured, 0 violated, 0 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/res-vmamba-fine-grained-food-category-visual#ran","syntology_url":"https://syntology.ai/paper/2402.15761","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2402.15761"}},"official":{"repos":["chishengchen/resvmamba"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":0,"n_ran_no_instrument_failure":3,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/mambair-a-simple-baseline-for-image","slug":"mambair-a-simple-baseline-for-image","title":"MambaIR: A Simple Baseline for Image Restoration with State-Space Model","date":"2024-02-23","arxiv_id":"2402.15648","repositories_listed":2,"syntology":{"n":15,"n_ran":14,"n_constructed":0,"n_ran_checked":9,"n_instrument":5,"n_unverified":1,"n_honours":0,"n_violates":0,"n_no_contract":9,"n_pointer_only":0,"phrase":"14 ran (of which 0 constructed an object rather than computing a result; 9 with no instrument failure: 0 honoured, 0 violated, 9 with no contract checked; 5 where Syntology's instrument failed) · 1 unverified","sample_list":"/paper/mambair-a-simple-baseline-for-image#ran","syntology_url":"https://syntology.ai/paper/2402.15648","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2402.15648"}},"official":{"repos":["csguoh/mambair"],"state":"official (archive's flag): 8 ran","n_ran":8,"n_constructed":0,"n_ran_no_instrument_failure":3,"n_unverified":0,"ran_from_kinds":["listed","official"]}}},{"url":"/paper/pan-mamba-effective-pan-sharpening-with-state","slug":"pan-mamba-effective-pan-sharpening-with-state","title":"Pan-Mamba: Effective pan-sharpening with State Space Model","date":"2024-02-19","arxiv_id":"2402.12192","repositories_listed":1,"syntology":{"n":13,"n_ran":12,"n_constructed":0,"n_ran_checked":6,"n_instrument":6,"n_unverified":1,"n_honours":0,"n_violates":1,"n_no_contract":5,"n_pointer_only":13,"phrase":"12 ran (of which 0 constructed an object rather than computing a result; 6 with no instrument failure: 0 honoured, 1 violated, 5 with no contract checked; 6 where Syntology's instrument failed) · 1 unverified","sample_list":"/paper/pan-mamba-effective-pan-sharpening-with-state#ran","syntology_url":"https://syntology.ai/paper/2402.12192","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2402.12192"}},"official":{"repos":["alexhe101/pan-mamba"],"state":"official (archive's flag): 12 ran","n_ran":12,"n_constructed":0,"n_ran_no_instrument_failure":6,"n_unverified":1,"ran_from_kinds":["official"]}}},{"url":"/paper/pointmamba-a-simple-state-space-model-for","slug":"pointmamba-a-simple-state-space-model-for","title":"PointMamba: A Simple State Space Model for Point Cloud Analysis","date":"2024-02-16","arxiv_id":"2402.10739","repositories_listed":1,"syntology":{"n":11,"n_ran":8,"n_constructed":0,"n_ran_checked":8,"n_instrument":0,"n_unverified":3,"n_honours":1,"n_violates":0,"n_no_contract":7,"n_pointer_only":5,"phrase":"8 ran (of which 0 constructed an object rather than computing a result; 8 with no instrument failure: 1 honoured, 0 violated, 7 with no contract checked; 0 where Syntology's instrument failed) · 3 unverified","sample_list":"/paper/pointmamba-a-simple-state-space-model-for#ran","syntology_url":"https://syntology.ai/paper/2402.10739","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2402.10739"}},"official":{"repos":["lmd0311/pointmamba"],"state":"official (archive's flag): 8 ran","n_ran":8,"n_constructed":0,"n_ran_no_instrument_failure":8,"n_unverified":3,"ran_from_kinds":["official"]}}},{"url":"/paper/weak-mamba-unet-visual-mamba-makes-cnn-and","slug":"weak-mamba-unet-visual-mamba-makes-cnn-and","title":"Weak-Mamba-UNet: Visual Mamba Makes CNN and ViT Work Better for Scribble-based Medical Image Segmentation","date":"2024-02-16","arxiv_id":"2402.10887","repositories_listed":2,"syntology":{"n":5,"n_ran":5,"n_constructed":0,"n_ran_checked":2,"n_instrument":3,"n_unverified":0,"n_honours":2,"n_violates":0,"n_no_contract":0,"n_pointer_only":4,"phrase":"5 ran (of which 0 constructed an object rather than computing a result; 2 with no instrument failure: 2 honoured, 0 violated, 0 with no contract checked; 3 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/weak-mamba-unet-visual-mamba-makes-cnn-and#ran","syntology_url":"https://syntology.ai/paper/2402.10887","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2402.10887"}},"official":{"repos":["ziyangwang007/mamba-unet"],"state":"official (archive's flag): 4 ran","n_ran":4,"n_constructed":0,"n_ran_no_instrument_failure":2,"n_unverified":0,"ran_from_kinds":["listed","official"]}}},{"url":"/paper/hierarchical-state-space-models-for","slug":"hierarchical-state-space-models-for","title":"Hierarchical State Space Models for Continuous Sequence-to-Sequence Modeling","date":"2024-02-15","arxiv_id":"2402.10211","repositories_listed":1,"syntology":{"n":6,"n_ran":5,"n_constructed":0,"n_ran_checked":3,"n_instrument":2,"n_unverified":1,"n_honours":1,"n_violates":0,"n_no_contract":2,"n_pointer_only":1,"phrase":"5 ran (of which 0 constructed an object rather than computing a result; 3 with no instrument failure: 1 honoured, 0 violated, 2 with no contract checked; 2 where Syntology's instrument failed) · 1 unverified","sample_list":"/paper/hierarchical-state-space-models-for#ran","syntology_url":"https://syntology.ai/paper/2402.10211","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2402.10211"}},"official":{"repos":["raunaqbhirangi/hiss"],"state":"official (archive's flag): 5 ran","n_ran":5,"n_constructed":0,"n_ran_no_instrument_failure":3,"n_unverified":1,"ran_from_kinds":["official"]}}},{"url":"/paper/semi-mamba-unet-pixel-level-contrastive-cross","slug":"semi-mamba-unet-pixel-level-contrastive-cross","title":"Semi-Mamba-UNet: Pixel-Level Contrastive and Pixel-Level Cross-Supervised Visual Mamba-based UNet for Semi-Supervised Medical Image Segmentation","date":"2024-02-11","arxiv_id":"2402.07245","repositories_listed":1,"syntology":{"n":3,"n_ran":3,"n_constructed":0,"n_ran_checked":1,"n_instrument":2,"n_unverified":0,"n_honours":1,"n_violates":0,"n_no_contract":0,"n_pointer_only":3,"phrase":"3 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 1 honoured, 0 violated, 0 with no contract checked; 2 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/semi-mamba-unet-pixel-level-contrastive-cross#ran","syntology_url":"https://syntology.ai/paper/2402.07245","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2402.07245"}},"official":{"repos":["ziyangwang007/mamba-unet"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":0,"n_ran_no_instrument_failure":1,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/mamba-nd-selective-state-space-modeling-for","slug":"mamba-nd-selective-state-space-modeling-for","title":"Mamba-ND: Selective State Space Modeling for Multi-Dimensional Data","date":"2024-02-08","arxiv_id":"2402.05892","repositories_listed":1,"syntology":{"n":11,"n_ran":9,"n_constructed":0,"n_ran_checked":9,"n_instrument":0,"n_unverified":2,"n_honours":0,"n_violates":0,"n_no_contract":9,"n_pointer_only":11,"phrase":"9 ran (of which 0 constructed an object rather than computing a result; 9 with no instrument failure: 0 honoured, 0 violated, 9 with no contract checked; 0 where Syntology's instrument failed) · 2 unverified","sample_list":"/paper/mamba-nd-selective-state-space-modeling-for#ran","syntology_url":"https://syntology.ai/paper/2402.05892","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2402.05892"}},"official":{"repos":["jacklishufan/mamba-nd"],"state":"official (archive's flag): 9 ran","n_ran":9,"n_constructed":0,"n_ran_no_instrument_failure":9,"n_unverified":2,"ran_from_kinds":["official"]}}},{"url":"/paper/mamba-unet-unet-like-pure-visual-mamba-for","slug":"mamba-unet-unet-like-pure-visual-mamba-for","title":"Mamba-UNet: UNet-Like Pure Visual Mamba for Medical Image Segmentation","date":"2024-02-07","arxiv_id":"2402.05079","repositories_listed":1,"syntology":{"n":5,"n_ran":5,"n_constructed":0,"n_ran_checked":3,"n_instrument":2,"n_unverified":0,"n_honours":3,"n_violates":0,"n_no_contract":0,"n_pointer_only":0,"phrase":"5 ran (of which 0 constructed an object rather than computing a result; 3 with no instrument failure: 3 honoured, 0 violated, 0 with no contract checked; 2 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/mamba-unet-unet-like-pure-visual-mamba-for#ran","syntology_url":"https://syntology.ai/paper/2402.05079","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2402.05079"}},"official":{"repos":["ziyangwang007/mamba-unet"],"state":"official (archive's flag): 5 ran","n_ran":5,"n_constructed":0,"n_ran_no_instrument_failure":3,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/can-mamba-learn-how-to-learn-a-comparative","slug":"can-mamba-learn-how-to-learn-a-comparative","title":"Can Mamba Learn How to Learn? A Comparative Study on In-Context Learning Tasks","date":"2024-02-06","arxiv_id":"2402.04248","repositories_listed":2,"syntology":{"n":14,"n_ran":11,"n_constructed":0,"n_ran_checked":9,"n_instrument":2,"n_unverified":3,"n_honours":0,"n_violates":1,"n_no_contract":8,"n_pointer_only":0,"phrase":"11 ran (of which 0 constructed an object rather than computing a result; 9 with no instrument failure: 0 honoured, 1 violated, 8 with no contract checked; 2 where Syntology's instrument failed) · 3 unverified","sample_list":"/paper/can-mamba-learn-how-to-learn-a-comparative#ran","syntology_url":"https://syntology.ai/paper/2402.04248","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2402.04248"}},"official":{"repos":["krafton-ai/mambaformer-icl"],"state":"official (archive's flag): 11 ran","n_ran":11,"n_constructed":0,"n_ran_no_instrument_failure":9,"n_unverified":3,"ran_from_kinds":["official"]}}},{"url":"/paper/is-mamba-capable-of-in-context-learning","slug":"is-mamba-capable-of-in-context-learning","title":"Is Mamba Capable of In-Context Learning?","date":"2024-02-05","arxiv_id":"2402.03170","repositories_listed":1,"syntology":{"n":8,"n_ran":7,"n_constructed":0,"n_ran_checked":6,"n_instrument":1,"n_unverified":1,"n_honours":0,"n_violates":0,"n_no_contract":6,"n_pointer_only":8,"phrase":"7 ran (of which 0 constructed an object rather than computing a result; 6 with no instrument failure: 0 honoured, 0 violated, 6 with no contract checked; 1 where Syntology's instrument failed) · 1 unverified","sample_list":"/paper/is-mamba-capable-of-in-context-learning#ran","syntology_url":"https://syntology.ai/paper/2402.03170","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2402.03170"}},"official":{"repos":["automl/is_mamba_capable_of_icl"],"state":"official (archive's flag): 7 ran","n_ran":7,"n_constructed":0,"n_ran_no_instrument_failure":6,"n_unverified":1,"ran_from_kinds":["official"]}}},{"url":"/paper/swin-umamba-mamba-based-unet-with-imagenet","slug":"swin-umamba-mamba-based-unet-with-imagenet","title":"Swin-UMamba: Mamba-based UNet with ImageNet-based pretraining","date":"2024-02-05","arxiv_id":"2402.03302","repositories_listed":1,"syntology":{"n":6,"n_ran":6,"n_constructed":0,"n_ran_checked":6,"n_instrument":0,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":6,"n_pointer_only":2,"phrase":"6 ran (of which 0 constructed an object rather than computing a result; 6 with no instrument failure: 0 honoured, 0 violated, 6 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/swin-umamba-mamba-based-unet-with-imagenet#ran","syntology_url":"https://syntology.ai/paper/2402.03302","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2402.03302"}},"official":{"repos":["jiarunliu/swin-umamba"],"state":"official (archive's flag): 6 ran","n_ran":6,"n_constructed":0,"n_ran_no_instrument_failure":6,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/vm-unet-vision-mamba-unet-for-medical-image","slug":"vm-unet-vision-mamba-unet-for-medical-image","title":"VM-UNet: Vision Mamba UNet for Medical Image Segmentation","date":"2024-02-04","arxiv_id":"2402.02491","repositories_listed":4,"syntology":{"n":17,"n_ran":14,"n_constructed":0,"n_ran_checked":12,"n_instrument":2,"n_unverified":3,"n_honours":1,"n_violates":0,"n_no_contract":11,"n_pointer_only":5,"phrase":"14 ran (of which 0 constructed an object rather than computing a result; 12 with no instrument failure: 1 honoured, 0 violated, 11 with no contract checked; 2 where Syntology's instrument failed) · 3 unverified","sample_list":"/paper/vm-unet-vision-mamba-unet-for-medical-image#ran","syntology_url":"https://syntology.ai/paper/2402.02491","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2402.02491"}},"official":{"repos":["jcruan519/vm-unet"],"state":"official (archive's flag): 9 ran","n_ran":9,"n_constructed":0,"n_ran_no_instrument_failure":9,"n_unverified":0,"ran_from_kinds":["listed","official"]}}},{"url":"/paper/graph-mamba-towards-long-range-graph-sequence","slug":"graph-mamba-towards-long-range-graph-sequence","title":"Graph-Mamba: Towards Long-Range Graph Sequence Modeling with Selective State Spaces","date":"2024-02-01","arxiv_id":"2402.00789","repositories_listed":1,"syntology":{"n":3,"n_ran":3,"n_constructed":0,"n_ran_checked":0,"n_instrument":3,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":0,"n_pointer_only":3,"phrase":"3 ran (of which 0 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 3 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/graph-mamba-towards-long-range-graph-sequence#ran","syntology_url":"https://syntology.ai/paper/2402.00789","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2402.00789"}},"official":null}},{"url":"/paper/vivim-a-video-vision-mamba-for-medical-video","slug":"vivim-a-video-vision-mamba-for-medical-video","title":"Vivim: a Video Vision Mamba for Medical Video Segmentation","date":"2024-01-25","arxiv_id":"2401.14168","repositories_listed":1,"syntology":{"n":13,"n_ran":10,"n_constructed":0,"n_ran_checked":6,"n_instrument":4,"n_unverified":3,"n_honours":0,"n_violates":0,"n_no_contract":6,"n_pointer_only":13,"phrase":"10 ran (of which 0 constructed an object rather than computing a result; 6 with no instrument failure: 0 honoured, 0 violated, 6 with no contract checked; 4 where Syntology's instrument failed) · 3 unverified","sample_list":"/paper/vivim-a-video-vision-mamba-for-medical-video#ran","syntology_url":"https://syntology.ai/paper/2401.14168","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2401.14168"}},"official":{"repos":["scott-yjyang/vivim"],"state":"official (archive's flag): 10 ran","n_ran":10,"n_constructed":0,"n_ran_no_instrument_failure":6,"n_unverified":3,"ran_from_kinds":["official"]}}},{"url":"/paper/segmamba-long-range-sequential-modeling-mamba","slug":"segmamba-long-range-sequential-modeling-mamba","title":"SegMamba: Long-range Sequential Modeling Mamba For 3D Medical Image Segmentation","date":"2024-01-24","arxiv_id":"2401.13560","repositories_listed":1,"syntology":{"n":2,"n_ran":2,"n_constructed":0,"n_ran_checked":2,"n_instrument":0,"n_unverified":0,"n_honours":1,"n_violates":1,"n_no_contract":0,"n_pointer_only":2,"phrase":"2 ran (of which 0 constructed an object rather than computing a result; 2 with no instrument failure: 1 honoured, 1 violated, 0 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/segmamba-long-range-sequential-modeling-mamba#ran","syntology_url":"https://syntology.ai/paper/2401.13560","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2401.13560"}},"official":{"repos":["ge-xing/segmamba"],"state":"official (archive's flag): 2 ran","n_ran":2,"n_constructed":0,"n_ran_no_instrument_failure":2,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/mamba-multi-level-aggregation-via-memory-bank","slug":"mamba-multi-level-aggregation-via-memory-bank","title":"MAMBA: Multi-level Aggregation via Memory Bank for Video Object Detection","date":"2024-01-18","arxiv_id":"2401.09923","repositories_listed":1,"syntology":{"n":3,"n_ran":2,"n_constructed":0,"n_ran_checked":2,"n_instrument":0,"n_unverified":1,"n_honours":0,"n_violates":0,"n_no_contract":2,"n_pointer_only":0,"phrase":"2 ran (of which 0 constructed an object rather than computing a result; 2 with no instrument failure: 0 honoured, 0 violated, 2 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified","sample_list":"/paper/mamba-multi-level-aggregation-via-memory-bank#ran","syntology_url":"https://syntology.ai/paper/2401.09923","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2401.09923"}},"official":{"repos":["guanxiongsun/vfe.pytorch"],"state":"official (archive's flag): 2 ran","n_ran":2,"n_constructed":0,"n_ran_no_instrument_failure":2,"n_unverified":1,"ran_from_kinds":["official"]}}},{"url":"/paper/vmamba-visual-state-space-model","slug":"vmamba-visual-state-space-model","title":"VMamba: Visual State Space Model","date":"2024-01-18","arxiv_id":"2401.10166","repositories_listed":13,"syntology":{"n":46,"n_ran":32,"n_constructed":6,"n_ran_checked":27,"n_instrument":5,"n_unverified":14,"n_honours":1,"n_violates":0,"n_no_contract":26,"n_pointer_only":14,"phrase":"32 ran (of which 6 constructed an object rather than computing a result; 27 with no instrument failure: 1 honoured, 0 violated, 26 with no contract checked; 5 where Syntology's instrument failed) · 14 unverified","sample_list":"/paper/vmamba-visual-state-space-model#ran","syntology_url":"https://syntology.ai/paper/2401.10166","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2401.10166"}},"official":{"repos":["mzeromiko/vmamba"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":0,"ran_from_kinds":["listed","official"]}}},{"url":"/paper/vision-mamba-efficient-visual-representation","slug":"vision-mamba-efficient-visual-representation","title":"Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model","date":"2024-01-17","arxiv_id":"2401.09417","repositories_listed":15,"syntology":{"n":13,"n_ran":8,"n_constructed":0,"n_ran_checked":7,"n_instrument":1,"n_unverified":5,"n_honours":0,"n_violates":0,"n_no_contract":7,"n_pointer_only":2,"phrase":"8 ran (of which 0 constructed an object rather than computing a result; 7 with no instrument failure: 0 honoured, 0 violated, 7 with no contract checked; 1 where Syntology's instrument failed) · 5 unverified","sample_list":"/paper/vision-mamba-efficient-visual-representation#ran","syntology_url":"https://syntology.ai/paper/2401.09417","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2401.09417"}},"official":{"repos":["hustvl/vim"],"state":"official: no sample here; runs from other or unrecorded repositories","n_ran":0,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":0,"ran_from_kinds":["listed","unlocated"]}}},{"url":"/paper/mambatab-a-simple-yet-effective-approach-for","slug":"mambatab-a-simple-yet-effective-approach-for","title":"MambaTab: A Plug-and-Play Model for Learning Tabular Data","date":"2024-01-16","arxiv_id":"2401.08867","repositories_listed":1,"syntology":{"n":3,"n_ran":1,"n_constructed":0,"n_ran_checked":1,"n_instrument":0,"n_unverified":2,"n_honours":0,"n_violates":0,"n_no_contract":1,"n_pointer_only":0,"phrase":"1 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 0 violated, 1 with no contract checked; 0 where Syntology's instrument failed) · 2 unverified","sample_list":"/paper/mambatab-a-simple-yet-effective-approach-for#ran","syntology_url":"https://syntology.ai/paper/2401.08867","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2401.08867"}},"official":{"repos":["atik-ahamed/mambatab"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":0,"n_ran_no_instrument_failure":1,"n_unverified":2,"ran_from_kinds":["official"]}}},{"url":"/paper/one-model-to-rule-them-all-towards-universal","slug":"one-model-to-rule-them-all-towards-universal","title":"One Model to Rule them All: Towards Universal Segmentation for Medical Images with Text Prompts","date":"2023-12-28","arxiv_id":"2312.17183","repositories_listed":2,"syntology":{"n":3,"n_ran":2,"n_constructed":0,"n_ran_checked":2,"n_instrument":0,"n_unverified":1,"n_honours":0,"n_violates":0,"n_no_contract":2,"n_pointer_only":3,"phrase":"2 ran (of which 0 constructed an object rather than computing a result; 2 with no instrument failure: 0 honoured, 0 violated, 2 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified","sample_list":"/paper/one-model-to-rule-them-all-towards-universal#ran","syntology_url":"https://syntology.ai/paper/2312.17183","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2312.17183"}},"official":{"repos":["zhaoziheng/sat-ds"],"state":"official (archive's flag): 2 ran","n_ran":2,"n_constructed":0,"n_ran_no_instrument_failure":2,"n_unverified":1,"ran_from_kinds":["official"]}}},{"url":"/paper/gated-linear-attention-transformers-with","slug":"gated-linear-attention-transformers-with","title":"Gated Linear Attention Transformers with Hardware-Efficient Training","date":"2023-12-11","arxiv_id":"2312.06635","repositories_listed":6,"syntology":{"n":2,"n_ran":2,"n_constructed":0,"n_ran_checked":0,"n_instrument":2,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":0,"n_pointer_only":0,"phrase":"2 ran (of which 0 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 2 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/gated-linear-attention-transformers-with#ran","syntology_url":"https://syntology.ai/paper/2312.06635","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2312.06635"}},"official":{"repos":["berlino/gated_linear_attention"],"state":"community repositories only","n_ran":0,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":0,"ran_from_kinds":["listed"]}}},{"url":"/paper/mamba-linear-time-sequence-modeling-with","slug":"mamba-linear-time-sequence-modeling-with","title":"Mamba: Linear-Time Sequence Modeling with Selective State Spaces","date":"2023-12-01","arxiv_id":"2312.00752","repositories_listed":35,"syntology":{"n":62,"n_ran":28,"n_constructed":7,"n_ran_checked":21,"n_instrument":7,"n_unverified":34,"n_honours":0,"n_violates":0,"n_no_contract":21,"n_pointer_only":29,"phrase":"28 ran (of which 7 constructed an object rather than computing a result; 21 with no instrument failure: 0 honoured, 0 violated, 21 with no contract checked; 7 where Syntology's instrument failed) · 34 unverified","sample_list":"/paper/mamba-linear-time-sequence-modeling-with#ran","syntology_url":"https://syntology.ai/paper/2312.00752","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2312.00752"}},"official":{"repos":["state-spaces/mamba","radarFudan/mamba"],"state":"community repositories only","n_ran":0,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":0,"ran_from_kinds":["listed"]}}}],"record_sha256":"67e6b5e8de8b1e5aeb35e705e6731f50b5bf0610b24360120e2cb5e54743cb79","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}