{"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/sign-language-recognition/papers/ran/1","list_of":"/task/sign-language-recognition","task":"Sign Language Recognition","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":1,"pages_in_order":1,"rows_per_page":100,"rows":[1,18],"of":18,"counts":{"archive_papers_tagged":297,"with_a_code_link":95,"where_syntology_ran_a_sample":18,"not_listed_spam_title":0,"listed":297,"listed_where_code_ran":18,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":18,"every_run_a_failure_of_syntologys_instrument":0,"listed_with_a_run_with_no_instrument_failure":18,"listed_every_run_a_failure_of_syntologys_instrument":0,"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/sign-language-recognition/papers/ran/1","prev":null,"next":null,"papers":[{"url":"/paper/logos-as-a-well-tempered-pre-train-for-sign","slug":"logos-as-a-well-tempered-pre-train-for-sign","title":"Logos as a Well-Tempered Pre-train for Sign Language Recognition","date":"2025-05-15","arxiv_id":"2505.10481","repositories_listed":0,"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":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) · 0 unverified","sample_list":"/paper/logos-as-a-well-tempered-pre-train-for-sign#ran","syntology_url":"https://syntology.ai/paper/2505.10481","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2505.10481"}},"official":null}},{"url":"/paper/uni-sign-toward-unified-sign-language","slug":"uni-sign-toward-unified-sign-language","title":"Uni-Sign: Toward Unified Sign Language Understanding at Scale","date":"2025-01-25","arxiv_id":"2501.15187","repositories_listed":1,"syntology":{"n":15,"n_ran":14,"n_constructed":8,"n_ran_checked":10,"n_instrument":4,"n_unverified":1,"n_honours":1,"n_violates":1,"n_no_contract":8,"n_pointer_only":15,"phrase":"14 ran (of which 8 constructed an object rather than computing a result; 10 with no instrument failure: 1 honoured, 1 violated, 8 with no contract checked; 4 where Syntology's instrument failed) · 1 unverified","sample_list":"/paper/uni-sign-toward-unified-sign-language#ran","syntology_url":"https://syntology.ai/paper/2501.15187","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2501.15187"}},"official":{"repos":["zechengli19/uni-sign"],"state":"official (archive's flag): 14 ran","n_ran":14,"n_constructed":8,"n_ran_no_instrument_failure":10,"n_unverified":1,"ran_from_kinds":["official"]}}},{"url":"/paper/masa-motion-aware-masked-autoencoder-with","slug":"masa-motion-aware-masked-autoencoder-with","title":"MASA: Motion-aware Masked Autoencoder with Semantic Alignment for Sign Language Recognition","date":"2024-05-31","arxiv_id":"2405.20666","repositories_listed":1,"syntology":{"n":12,"n_ran":9,"n_constructed":6,"n_ran_checked":8,"n_instrument":1,"n_unverified":3,"n_honours":1,"n_violates":0,"n_no_contract":7,"n_pointer_only":12,"phrase":"9 ran (of which 6 constructed an object rather than computing a result; 8 with no instrument failure: 1 honoured, 0 violated, 7 with no contract checked; 1 where Syntology's instrument failed) · 3 unverified","sample_list":"/paper/masa-motion-aware-masked-autoencoder-with#ran","syntology_url":"https://syntology.ai/paper/2405.20666","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2405.20666"}},"official":{"repos":["sakura2233565548/masa"],"state":"official (archive's flag): 9 ran","n_ran":9,"n_constructed":6,"n_ran_no_instrument_failure":8,"n_unverified":3,"ran_from_kinds":["official"]}}},{"url":"/paper/tcnet-continuous-sign-language-recognition","slug":"tcnet-continuous-sign-language-recognition","title":"TCNet: Continuous Sign Language Recognition from Trajectories and Correlated Regions","date":"2024-03-18","arxiv_id":"2403.11818","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/tcnet-continuous-sign-language-recognition#ran","syntology_url":"https://syntology.ai/paper/2403.11818","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2403.11818"}},"official":{"repos":["hotfinda/tcnet"],"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/towards-online-sign-language-recognition-and","slug":"towards-online-sign-language-recognition-and","title":"Towards Online Continuous Sign Language Recognition and Translation","date":"2024-01-10","arxiv_id":"2401.05336","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":3,"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/towards-online-sign-language-recognition-and#ran","syntology_url":"https://syntology.ai/paper/2401.05336","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2401.05336"}},"official":{"repos":["FangyunWei/SLRT"],"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/adabrowse-adaptive-video-browser-for","slug":"adabrowse-adaptive-video-browser-for","title":"AdaBrowse: Adaptive Video Browser for Efficient Continuous Sign Language Recognition","date":"2023-08-16","arxiv_id":"2308.08327","repositories_listed":1,"syntology":{"n":3,"n_ran":2,"n_constructed":0,"n_ran_checked":1,"n_instrument":1,"n_unverified":1,"n_honours":0,"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; 1 with no instrument failure: 0 honoured, 0 violated, 1 with no contract checked; 1 where Syntology's instrument failed) · 1 unverified","sample_list":"/paper/adabrowse-adaptive-video-browser-for#ran","syntology_url":"https://syntology.ai/paper/2308.08327","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2308.08327"}},"official":{"repos":["hulianyuyy/adabrowse"],"state":"official (archive's flag): 2 ran","n_ran":2,"n_constructed":0,"n_ran_no_instrument_failure":1,"n_unverified":1,"ran_from_kinds":["official"]}}},{"url":"/paper/gloss-free-sign-language-translation","slug":"gloss-free-sign-language-translation","title":"Gloss-free Sign Language Translation: Improving from Visual-Language Pretraining","date":"2023-07-27","arxiv_id":"2307.14768","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":0,"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/gloss-free-sign-language-translation#ran","syntology_url":"https://syntology.ai/paper/2307.14768","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2307.14768"}},"official":{"repos":["zhoubenjia/gfslt-vlp"],"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/cvt-slr-contrastive-visual-textual","slug":"cvt-slr-contrastive-visual-textual","title":"CVT-SLR: Contrastive Visual-Textual Transformation for Sign Language Recognition with Variational Alignment","date":"2023-03-10","arxiv_id":"2303.05725","repositories_listed":1,"syntology":{"n":8,"n_ran":4,"n_constructed":0,"n_ran_checked":4,"n_instrument":0,"n_unverified":4,"n_honours":0,"n_violates":0,"n_no_contract":4,"n_pointer_only":8,"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) · 4 unverified","sample_list":"/paper/cvt-slr-contrastive-visual-textual#ran","syntology_url":"https://syntology.ai/paper/2303.05725","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2303.05725"}},"official":{"repos":["binbinjiang/cvt-slr"],"state":"official (archive's flag): 4 ran","n_ran":4,"n_constructed":0,"n_ran_no_instrument_failure":4,"n_unverified":4,"ran_from_kinds":["official"]}}},{"url":"/paper/continuous-sign-language-recognition-with","slug":"continuous-sign-language-recognition-with","title":"Continuous Sign Language Recognition with Correlation Network","date":"2023-03-06","arxiv_id":"2303.03202","repositories_listed":3,"syntology":{"n":6,"n_ran":5,"n_constructed":4,"n_ran_checked":5,"n_instrument":0,"n_unverified":1,"n_honours":0,"n_violates":0,"n_no_contract":5,"n_pointer_only":6,"phrase":"5 ran (of which 4 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) · 1 unverified","sample_list":"/paper/continuous-sign-language-recognition-with#ran","syntology_url":"https://syntology.ai/paper/2303.03202","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2303.03202"}},"official":{"repos":["hulianyuyy/corrnet"],"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":["listed","official"]}}},{"url":"/paper/self-emphasizing-network-for-continuous-sign","slug":"self-emphasizing-network-for-continuous-sign","title":"Self-Emphasizing Network for Continuous Sign Language Recognition","date":"2022-11-30","arxiv_id":"2211.17081","repositories_listed":2,"syntology":{"n":1,"n_ran":1,"n_constructed":0,"n_ran_checked":1,"n_instrument":0,"n_unverified":0,"n_honours":0,"n_violates":1,"n_no_contract":0,"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, 1 violated, 0 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/self-emphasizing-network-for-continuous-sign#ran","syntology_url":"https://syntology.ai/paper/2211.17081","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2211.17081"}},"official":{"repos":["hulianyuyy/sen_cslr"],"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/conslt-a-token-level-contrastive-framework","slug":"conslt-a-token-level-contrastive-framework","title":"A Token-level Contrastive Framework for Sign Language Translation","date":"2022-04-11","arxiv_id":"2204.04916","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":0,"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/conslt-a-token-level-contrastive-framework#ran","syntology_url":"https://syntology.ai/paper/2204.04916","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2204.04916"}},"official":{"repos":["biaofuxmu/conslt"],"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/a-simple-multi-modality-transfer-learning","slug":"a-simple-multi-modality-transfer-learning","title":"A Simple Multi-Modality Transfer Learning Baseline for Sign Language Translation","date":"2022-03-08","arxiv_id":"2203.04287","repositories_listed":4,"syntology":{"n":10,"n_ran":5,"n_constructed":4,"n_ran_checked":4,"n_instrument":1,"n_unverified":5,"n_honours":0,"n_violates":0,"n_no_contract":4,"n_pointer_only":9,"phrase":"5 ran (of which 4 constructed an object rather than computing a result; 4 with no instrument failure: 0 honoured, 0 violated, 4 with no contract checked; 1 where Syntology's instrument failed) · 5 unverified","sample_list":"/paper/a-simple-multi-modality-transfer-learning#ran","syntology_url":"https://syntology.ai/paper/2203.04287","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2203.04287"}},"official":{"repos":["FangyunWei/SLRT"],"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/visual-alignment-constraint-for-continuous","slug":"visual-alignment-constraint-for-continuous","title":"Visual Alignment Constraint for Continuous Sign Language Recognition","date":"2021-04-06","arxiv_id":"2104.02330","repositories_listed":2,"syntology":{"n":5,"n_ran":4,"n_constructed":4,"n_ran_checked":4,"n_instrument":0,"n_unverified":1,"n_honours":0,"n_violates":0,"n_no_contract":4,"n_pointer_only":3,"phrase":"4 ran (of which 4 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) · 1 unverified; every one of the 4 samples that ran constructed an object rather than computing a result","sample_list":"/paper/visual-alignment-constraint-for-continuous#ran","syntology_url":"https://syntology.ai/paper/2104.02330","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2104.02330"}},"official":{"repos":["ycmin95/VAC_CSLR"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":1,"n_ran_no_instrument_failure":1,"n_unverified":1,"ran_from_kinds":["listed","official"]}}},{"url":"/paper/tspnet-hierarchical-feature-learning-via","slug":"tspnet-hierarchical-feature-learning-via","title":"TSPNet: Hierarchical Feature Learning via Temporal Semantic Pyramid for Sign Language Translation","date":"2020-10-12","arxiv_id":"2010.05468","repositories_listed":2,"syntology":{"n":6,"n_ran":6,"n_constructed":3,"n_ran_checked":6,"n_instrument":0,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":6,"n_pointer_only":3,"phrase":"6 ran (of which 3 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/tspnet-hierarchical-feature-learning-via#ran","syntology_url":"https://syntology.ai/paper/2010.05468","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2010.05468"}},"official":{"repos":["verashira/TSPNet"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":3,"n_ran_no_instrument_failure":3,"n_unverified":0,"ran_from_kinds":["listed","official"]}}},{"url":"/paper/a-comprehensive-study-on-sign-language","slug":"a-comprehensive-study-on-sign-language","title":"A Comprehensive Study on Deep Learning-based Methods for Sign Language Recognition","date":"2020-07-24","arxiv_id":"2007.12530","repositories_listed":1,"syntology":{"n":11,"n_ran":9,"n_constructed":0,"n_ran_checked":6,"n_instrument":3,"n_unverified":2,"n_honours":0,"n_violates":0,"n_no_contract":6,"n_pointer_only":0,"phrase":"9 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; 3 where Syntology's instrument failed) · 2 unverified","sample_list":"/paper/a-comprehensive-study-on-sign-language#ran","syntology_url":"https://syntology.ai/paper/2007.12530","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2007.12530"}},"official":{"repos":["iliasprc/slrzoo"],"state":"official (archive's flag): 9 ran","n_ran":9,"n_constructed":0,"n_ran_no_instrument_failure":6,"n_unverified":2,"ran_from_kinds":["official"]}}},{"url":"/paper/sign-language-translation-with-transformers","slug":"sign-language-translation-with-transformers","title":"Better Sign Language Translation with STMC-Transformer","date":"2020-04-01","arxiv_id":"2004.00588","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":1,"n_no_contract":1,"n_pointer_only":1,"phrase":"2 ran (of which 0 constructed an object rather than computing a result; 2 with no instrument failure: 0 honoured, 1 violated, 1 with no contract checked; 0 where Syntology's instrument failed) · 3 unverified","sample_list":"/paper/sign-language-translation-with-transformers#ran","syntology_url":"https://syntology.ai/paper/2004.00588","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2004.00588"}},"official":{"repos":["kayoyin/transformer-slt"],"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/sign-language-transformers-joint-end-to-end","slug":"sign-language-transformers-joint-end-to-end","title":"Sign Language Transformers: Joint End-to-end Sign Language Recognition and Translation","date":"2020-03-30","arxiv_id":"2003.13830","repositories_listed":2,"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":0,"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/sign-language-transformers-joint-end-to-end#ran","syntology_url":"https://syntology.ai/paper/2003.13830","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2003.13830"}},"official":{"repos":["neccam/slt"],"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":["listed","official"]}}},{"url":"/paper/word-level-deep-sign-language-recognition","slug":"word-level-deep-sign-language-recognition","title":"Word-level Deep Sign Language Recognition from Video: A New Large-scale Dataset and Methods Comparison","date":"2019-10-24","arxiv_id":"1910.11006","repositories_listed":3,"syntology":{"n":7,"n_ran":5,"n_constructed":0,"n_ran_checked":5,"n_instrument":0,"n_unverified":2,"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) · 2 unverified","sample_list":"/paper/word-level-deep-sign-language-recognition#ran","syntology_url":"https://syntology.ai/paper/1910.11006","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1910.11006"}},"official":{"repos":["dxli94/WLASL"],"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":"21c79ad291d76614f8f8cb5ab248f3f200325f7a884d906def8af67fd8c6dc2d","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}