{"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/systematic-generalization/papers/ran/1","list_of":"/task/systematic-generalization","task":"Systematic Generalization","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":[1,36],"of":36,"counts":{"archive_papers_tagged":126,"with_a_code_link":77,"where_syntology_ran_a_sample":36,"not_listed_spam_title":0,"listed":126,"listed_where_code_ran":36,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":33,"every_run_a_failure_of_syntologys_instrument":3,"listed_with_a_run_with_no_instrument_failure":33,"listed_every_run_a_failure_of_syntologys_instrument":3,"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/systematic-generalization/papers/ran/1","prev":null,"next":null,"papers":[{"url":"/paper/unveiling-the-mechanisms-of-explicit-cot","slug":"unveiling-the-mechanisms-of-explicit-cot","title":"Unveiling the Mechanisms of Explicit CoT Training: How CoT Enhances Reasoning Generalization","date":"2025-02-07","arxiv_id":"2502.04667","repositories_listed":1,"syntology":{"n":10,"n_ran":9,"n_constructed":0,"n_ran_checked":8,"n_instrument":1,"n_unverified":1,"n_honours":1,"n_violates":0,"n_no_contract":7,"n_pointer_only":4,"phrase":"9 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; 1 where Syntology's instrument failed) · 1 unverified","sample_list":"/paper/unveiling-the-mechanisms-of-explicit-cot#ran","syntology_url":"https://syntology.ai/paper/2502.04667","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2502.04667"}},"official":{"repos":["chen123ctrls/t-cotmechanism"],"state":"official (archive's flag): 9 ran","n_ran":9,"n_constructed":0,"n_ran_no_instrument_failure":8,"n_unverified":1,"ran_from_kinds":["official"]}}},{"url":"/paper/on-the-specialization-of-neural-modules","slug":"on-the-specialization-of-neural-modules","title":"On The Specialization of Neural Modules","date":"2024-09-23","arxiv_id":"2409.14981","repositories_listed":1,"syntology":{"n":11,"n_ran":4,"n_constructed":0,"n_ran_checked":4,"n_instrument":0,"n_unverified":7,"n_honours":0,"n_violates":0,"n_no_contract":4,"n_pointer_only":0,"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) · 7 unverified","sample_list":"/paper/on-the-specialization-of-neural-modules#ran","syntology_url":"https://syntology.ai/paper/2409.14981","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2409.14981"}},"official":{"repos":["raillab/specialization_of_neural_modules"],"state":"official (archive's flag): 4 ran","n_ran":4,"n_constructed":0,"n_ran_no_instrument_failure":4,"n_unverified":7,"ran_from_kinds":["official"]}}},{"url":"/paper/systematic-reasoning-about-relational-domains","slug":"systematic-reasoning-about-relational-domains","title":"Systematic Reasoning About Relational Domains With Graph Neural Networks","date":"2024-07-24","arxiv_id":"2407.17396","repositories_listed":1,"syntology":{"n":10,"n_ran":9,"n_constructed":0,"n_ran_checked":9,"n_instrument":0,"n_unverified":1,"n_honours":0,"n_violates":0,"n_no_contract":9,"n_pointer_only":0,"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) · 1 unverified","sample_list":"/paper/systematic-reasoning-about-relational-domains#ran","syntology_url":"https://syntology.ai/paper/2407.17396","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2407.17396"}},"official":{"repos":["erg0dic/gnn-sg"],"state":"official (archive's flag): 9 ran","n_ran":9,"n_constructed":0,"n_ran_no_instrument_failure":9,"n_unverified":1,"ran_from_kinds":["official"]}}},{"url":"/paper/discrete-dictionary-based-decomposition-layer","slug":"discrete-dictionary-based-decomposition-layer","title":"Discrete Dictionary-based Decomposition Layer for Structured Representation Learning","date":"2024-06-11","arxiv_id":"2406.06976","repositories_listed":1,"syntology":{"n":14,"n_ran":10,"n_constructed":0,"n_ran_checked":7,"n_instrument":3,"n_unverified":4,"n_honours":2,"n_violates":0,"n_no_contract":5,"n_pointer_only":0,"phrase":"10 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; 3 where Syntology's instrument failed) · 4 unverified","sample_list":"/paper/discrete-dictionary-based-decomposition-layer#ran","syntology_url":"https://syntology.ai/paper/2406.06976","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2406.06976"}},"official":{"repos":["taewonpark/d3"],"state":"official (archive's flag): 10 ran","n_ran":10,"n_constructed":0,"n_ran_no_instrument_failure":7,"n_unverified":4,"ran_from_kinds":["official"]}}},{"url":"/paper/attention-based-iterative-decomposition-for","slug":"attention-based-iterative-decomposition-for","title":"Attention-based Iterative Decomposition for Tensor Product Representation","date":"2024-06-03","arxiv_id":"2406.01012","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":0,"n_no_contract":1,"n_pointer_only":0,"phrase":"4 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; 3 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/attention-based-iterative-decomposition-for#ran","syntology_url":"https://syntology.ai/paper/2406.01012","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2406.01012"}},"official":{"repos":["taewonpark/AID"],"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/slot-abstractors-toward-scalable-abstract","slug":"slot-abstractors-toward-scalable-abstract","title":"Slot Abstractors: Toward Scalable Abstract Visual Reasoning","date":"2024-03-06","arxiv_id":"2403.03458","repositories_listed":2,"syntology":{"n":4,"n_ran":3,"n_constructed":0,"n_ran_checked":3,"n_instrument":0,"n_unverified":1,"n_honours":0,"n_violates":1,"n_no_contract":2,"n_pointer_only":0,"phrase":"3 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; 0 where Syntology's instrument failed) · 1 unverified","sample_list":"/paper/slot-abstractors-toward-scalable-abstract#ran","syntology_url":"https://syntology.ai/paper/2403.03458","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2403.03458"}},"official":{"repos":["shanka123/slot-abstractor","slotabstractor/slotabstractor"],"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/case-based-or-rule-based-how-do-transformers","slug":"case-based-or-rule-based-how-do-transformers","title":"Case-Based or Rule-Based: How Do Transformers Do the Math?","date":"2024-02-27","arxiv_id":"2402.17709","repositories_listed":1,"syntology":{"n":13,"n_ran":13,"n_constructed":0,"n_ran_checked":13,"n_instrument":0,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":13,"n_pointer_only":0,"phrase":"13 ran (of which 0 constructed an object rather than computing a result; 13 with no instrument failure: 0 honoured, 0 violated, 13 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/case-based-or-rule-based-how-do-transformers#ran","syntology_url":"https://syntology.ai/paper/2402.17709","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2402.17709"}},"official":{"repos":["graphpku/case_or_rule"],"state":"official (archive's flag): 13 ran","n_ran":13,"n_constructed":0,"n_ran_no_instrument_failure":13,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/on-the-generalization-capacity-of-neural","slug":"on-the-generalization-capacity-of-neural","title":"On the generalization capacity of neural networks during generic multimodal reasoning","date":"2024-01-26","arxiv_id":"2401.15030","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":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/on-the-generalization-capacity-of-neural#ran","syntology_url":"https://syntology.ai/paper/2401.15030","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2401.15030"}},"official":{"repos":["ibm/gcog"],"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/compositional-program-generation-for","slug":"compositional-program-generation-for","title":"Compositional Program Generation for Few-Shot Systematic Generalization","date":"2023-09-28","arxiv_id":"2309.16467","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/compositional-program-generation-for#ran","syntology_url":"https://syntology.ai/paper/2309.16467","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2309.16467"}},"official":{"repos":["IBM/cpg"],"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/systematic-visual-reasoning-through-object-1","slug":"systematic-visual-reasoning-through-object-1","title":"Systematic Visual Reasoning through Object-Centric Relational Abstraction","date":"2023-06-04","arxiv_id":"2306.02500","repositories_listed":1,"syntology":{"n":6,"n_ran":5,"n_constructed":0,"n_ran_checked":5,"n_instrument":0,"n_unverified":1,"n_honours":0,"n_violates":1,"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: 0 honoured, 1 violated, 4 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified","sample_list":"/paper/systematic-visual-reasoning-through-object-1#ran","syntology_url":"https://syntology.ai/paper/2306.02500","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2306.02500"}},"official":{"repos":["shanka123/ocra"],"state":"official (archive's flag): 5 ran","n_ran":5,"n_constructed":0,"n_ran_no_instrument_failure":5,"n_unverified":1,"ran_from_kinds":["official"]}}},{"url":"/paper/not-all-neuro-symbolic-concepts-are-created","slug":"not-all-neuro-symbolic-concepts-are-created","title":"Not All Neuro-Symbolic Concepts Are Created Equal: Analysis and Mitigation of Reasoning Shortcuts","date":"2023-05-31","arxiv_id":"2305.19951","repositories_listed":2,"syntology":{"n":6,"n_ran":5,"n_constructed":0,"n_ran_checked":5,"n_instrument":0,"n_unverified":1,"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) · 1 unverified","sample_list":"/paper/not-all-neuro-symbolic-concepts-are-created#ran","syntology_url":"https://syntology.ai/paper/2305.19951","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2305.19951"}},"official":{"repos":["ema-marconato/reasoning-shortcuts"],"state":"official (archive's flag): 5 ran","n_ran":5,"n_constructed":0,"n_ran_no_instrument_failure":5,"n_unverified":1,"ran_from_kinds":["official"]}}},{"url":"/paper/neural-compositional-rule-learning-for","slug":"neural-compositional-rule-learning-for","title":"Neural Compositional Rule Learning for Knowledge Graph Reasoning","date":"2023-03-07","arxiv_id":"2303.03581","repositories_listed":1,"syntology":{"n":1,"n_ran":1,"n_constructed":1,"n_ran_checked":1,"n_instrument":0,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":1,"n_pointer_only":1,"phrase":"1 ran (of which 1 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; the one sample that ran constructed an object rather than computing a result","sample_list":"/paper/neural-compositional-rule-learning-for#ran","syntology_url":"https://syntology.ai/paper/2303.03581","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2303.03581"}},"official":{"repos":["vivian1993/ncrl"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":1,"n_ran_no_instrument_failure":1,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/what-makes-a-language-easy-to-deep-learn","slug":"what-makes-a-language-easy-to-deep-learn","title":"What makes a language easy to deep-learn? Deep neural networks and humans similarly benefit from compositional structure","date":"2023-02-23","arxiv_id":"2302.12239","repositories_listed":1,"syntology":{"n":5,"n_ran":5,"n_constructed":0,"n_ran_checked":1,"n_instrument":4,"n_unverified":0,"n_honours":1,"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; 1 with no instrument failure: 1 honoured, 0 violated, 0 with no contract checked; 4 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/what-makes-a-language-easy-to-deep-learn#ran","syntology_url":"https://syntology.ai/paper/2302.12239","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2302.12239"}},"official":{"repos":["lgalke/easy2deeplearn"],"state":"official (archive's flag): 5 ran","n_ran":5,"n_constructed":0,"n_ran_no_instrument_failure":1,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/neural-block-slot-representations","slug":"neural-block-slot-representations","title":"Neural Systematic Binder","date":"2022-11-02","arxiv_id":"2211.01177","repositories_listed":1,"syntology":{"n":3,"n_ran":3,"n_constructed":0,"n_ran_checked":3,"n_instrument":0,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":3,"n_pointer_only":0,"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) · 0 unverified","sample_list":"/paper/neural-block-slot-representations#ran","syntology_url":"https://syntology.ai/paper/2211.01177","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2211.01177"}},"official":null}},{"url":"/paper/vima-general-robot-manipulation-with","slug":"vima-general-robot-manipulation-with","title":"VIMA: General Robot Manipulation with Multimodal Prompts","date":"2022-10-06","arxiv_id":"2210.03094","repositories_listed":2,"syntology":{"n":8,"n_ran":1,"n_constructed":0,"n_ran_checked":1,"n_instrument":0,"n_unverified":7,"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) · 7 unverified","sample_list":"/paper/vima-general-robot-manipulation-with#ran","syntology_url":"https://syntology.ai/paper/2210.03094","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2210.03094"}},"official":{"repos":["vimalabs/VIMABench"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":0,"n_ran_no_instrument_failure":1,"n_unverified":6,"ran_from_kinds":["official"]}}},{"url":"/paper/simple-unsupervised-object-centric-learning","slug":"simple-unsupervised-object-centric-learning","title":"Simple Unsupervised Object-Centric Learning for Complex and Naturalistic Videos","date":"2022-05-27","arxiv_id":"2205.14065","repositories_listed":1,"syntology":{"n":3,"n_ran":3,"n_constructed":0,"n_ran_checked":3,"n_instrument":0,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":3,"n_pointer_only":0,"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) · 0 unverified","sample_list":"/paper/simple-unsupervised-object-centric-learning#ran","syntology_url":"https://syntology.ai/paper/2205.14065","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2205.14065"}},"official":null}},{"url":"/paper/relvit-concept-guided-vision-transformer-for-1","slug":"relvit-concept-guided-vision-transformer-for-1","title":"RelViT: Concept-guided Vision Transformer for Visual Relational Reasoning","date":"2022-04-24","arxiv_id":"2204.11167","repositories_listed":1,"syntology":{"n":10,"n_ran":6,"n_constructed":1,"n_ran_checked":3,"n_instrument":3,"n_unverified":4,"n_honours":2,"n_violates":0,"n_no_contract":1,"n_pointer_only":10,"phrase":"6 ran (of which 1 constructed an object rather than computing a result; 3 with no instrument failure: 2 honoured, 0 violated, 1 with no contract checked; 3 where Syntology's instrument failed) · 4 unverified","sample_list":"/paper/relvit-concept-guided-vision-transformer-for-1#ran","syntology_url":"https://syntology.ai/paper/2204.11167","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2204.11167"}},"official":{"repos":["NVlabs/RelViT"],"state":"official (archive's flag): 6 ran","n_ran":6,"n_constructed":1,"n_ran_no_instrument_failure":3,"n_unverified":4,"ran_from_kinds":["official"]}}},{"url":"/paper/conditional-object-centric-learning-from-1","slug":"conditional-object-centric-learning-from-1","title":"Conditional Object-Centric Learning from Video","date":"2021-11-24","arxiv_id":"2111.12594","repositories_listed":3,"syntology":{"n":13,"n_ran":11,"n_constructed":8,"n_ran_checked":11,"n_instrument":0,"n_unverified":2,"n_honours":0,"n_violates":0,"n_no_contract":11,"n_pointer_only":10,"phrase":"11 ran (of which 8 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) · 2 unverified","sample_list":"/paper/conditional-object-centric-learning-from-1#ran","syntology_url":"https://syntology.ai/paper/2111.12594","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2111.12594"}},"official":{"repos":["google-research/slot-attention-video"],"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/illiterate-dall-cdot-e-learns-to-compose-1","slug":"illiterate-dall-cdot-e-learns-to-compose-1","title":"Illiterate DALL-E Learns to Compose","date":"2021-10-17","arxiv_id":"2110.11405","repositories_listed":1,"syntology":{"n":3,"n_ran":3,"n_constructed":0,"n_ran_checked":3,"n_instrument":0,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":3,"n_pointer_only":0,"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) · 0 unverified","sample_list":"/paper/illiterate-dall-cdot-e-learns-to-compose-1#ran","syntology_url":"https://syntology.ai/paper/2110.11405","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2110.11405"}},"official":{"repos":["singhgautam/slate"],"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/the-neural-data-router-adaptive-control-flow","slug":"the-neural-data-router-adaptive-control-flow","title":"The Neural Data Router: Adaptive Control Flow in Transformers Improves Systematic Generalization","date":"2021-10-14","arxiv_id":"2110.07732","repositories_listed":1,"syntology":{"n":11,"n_ran":7,"n_constructed":5,"n_ran_checked":6,"n_instrument":1,"n_unverified":4,"n_honours":0,"n_violates":1,"n_no_contract":5,"n_pointer_only":0,"phrase":"7 ran (of which 5 constructed an object rather than computing a result; 6 with no instrument failure: 0 honoured, 1 violated, 5 with no contract checked; 1 where Syntology's instrument failed) · 4 unverified","sample_list":"/paper/the-neural-data-router-adaptive-control-flow#ran","syntology_url":"https://syntology.ai/paper/2110.07732","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2110.07732"}},"official":{"repos":["robertcsordas/ndr"],"state":"official (archive's flag): 7 ran","n_ran":7,"n_constructed":5,"n_ran_no_instrument_failure":6,"n_unverified":4,"ran_from_kinds":["official"]}}},{"url":"/paper/distinguishing-rule-and-exemplar-based-1","slug":"distinguishing-rule-and-exemplar-based-1","title":"Distinguishing rule- and exemplar-based generalization in learning systems","date":"2021-10-08","arxiv_id":"2110.04328","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":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/distinguishing-rule-and-exemplar-based-1#ran","syntology_url":"https://syntology.ai/paper/2110.04328","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2110.04328"}},"official":{"repos":["eringrant/icml-2022-rules-vs-exemplars"],"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/systematic-generalization-on-gscan-what-is","slug":"systematic-generalization-on-gscan-what-is","title":"Systematic Generalization on gSCAN: What is Nearly Solved and What is Next?","date":"2021-09-25","arxiv_id":"2109.12243","repositories_listed":2,"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":1,"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/systematic-generalization-on-gscan-what-is#ran","syntology_url":"https://syntology.ai/paper/2109.12243","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2109.12243"}},"official":{"repos":["LauraRuis/groundedSCAN"],"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/the-devil-is-in-the-detail-simple-tricks","slug":"the-devil-is-in-the-detail-simple-tricks","title":"The Devil is in the Detail: Simple Tricks Improve Systematic Generalization of Transformers","date":"2021-08-26","arxiv_id":"2108.12284","repositories_listed":2,"syntology":{"n":2,"n_ran":1,"n_constructed":0,"n_ran_checked":1,"n_instrument":0,"n_unverified":1,"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) · 1 unverified","sample_list":"/paper/the-devil-is-in-the-detail-simple-tricks#ran","syntology_url":"https://syntology.ai/paper/2108.12284","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2108.12284"}},"official":{"repos":["robertcsordas/transformer_generalization"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":0,"n_ran_no_instrument_failure":1,"n_unverified":1,"ran_from_kinds":["official"]}}},{"url":"/paper/generalization-and-robustness-implications-in","slug":"generalization-and-robustness-implications-in","title":"Generalization and Robustness Implications in Object-Centric Learning","date":"2021-07-01","arxiv_id":"2107.00637","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/generalization-and-robustness-implications-in#ran","syntology_url":"https://syntology.ai/paper/2107.00637","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2107.00637"}},"official":{"repos":["addtt/object-centric-library"],"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/lexicon-learning-for-few-shot-neural-sequence","slug":"lexicon-learning-for-few-shot-neural-sequence","title":"Lexicon Learning for Few-Shot Neural Sequence Modeling","date":"2021-06-07","arxiv_id":"2106.03993","repositories_listed":1,"syntology":{"n":8,"n_ran":8,"n_constructed":0,"n_ran_checked":8,"n_instrument":0,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":8,"n_pointer_only":0,"phrase":"8 ran (of which 0 constructed an object rather than computing a result; 8 with no instrument failure: 0 honoured, 0 violated, 8 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/lexicon-learning-for-few-shot-neural-sequence#ran","syntology_url":"https://syntology.ai/paper/2106.03993","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2106.03993"}},"official":{"repos":["ekinakyurek/lexical"],"state":"official (archive's flag): 8 ran","n_ran":8,"n_constructed":0,"n_ran_no_instrument_failure":8,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/structured-reordering-for-modeling-latent","slug":"structured-reordering-for-modeling-latent","title":"Structured Reordering for Modeling Latent Alignments in Sequence Transduction","date":"2021-06-06","arxiv_id":"2106.03257","repositories_listed":1,"syntology":{"n":4,"n_ran":3,"n_constructed":0,"n_ran_checked":0,"n_instrument":3,"n_unverified":1,"n_honours":0,"n_violates":0,"n_no_contract":0,"n_pointer_only":0,"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) · 1 unverified","sample_list":"/paper/structured-reordering-for-modeling-latent#ran","syntology_url":"https://syntology.ai/paper/2106.03257","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2106.03257"}},"official":{"repos":["berlino/tensor2struct-public"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":1,"ran_from_kinds":["official"]}}},{"url":"/paper/learning-from-task-descriptions","slug":"learning-from-task-descriptions","title":"Learning from Task Descriptions","date":"2020-11-16","arxiv_id":"2011.08115","repositories_listed":1,"syntology":{"n":3,"n_ran":2,"n_constructed":0,"n_ran_checked":1,"n_instrument":1,"n_unverified":1,"n_honours":1,"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; 1 with no instrument failure: 1 honoured, 0 violated, 0 with no contract checked; 1 where Syntology's instrument failed) · 1 unverified","sample_list":"/paper/learning-from-task-descriptions#ran","syntology_url":"https://syntology.ai/paper/2011.08115","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2011.08115"}},"official":null}},{"url":"/paper/are-neural-nets-modular-inspecting-functional-1","slug":"are-neural-nets-modular-inspecting-functional-1","title":"Are Neural Nets Modular? Inspecting Functional Modularity Through Differentiable Weight Masks","date":"2020-10-05","arxiv_id":"2010.02066","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/are-neural-nets-modular-inspecting-functional-1#ran","syntology_url":"https://syntology.ai/paper/2010.02066","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2010.02066"}},"official":{"repos":["RobertCsordas/modules"],"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/measuring-systematic-generalization-in-neural","slug":"measuring-systematic-generalization-in-neural","title":"Measuring Systematic Generalization in Neural Proof Generation with Transformers","date":"2020-09-30","arxiv_id":"2009.14786","repositories_listed":2,"syntology":{"n":1,"n_ran":1,"n_constructed":0,"n_ran_checked":0,"n_instrument":1,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":0,"n_pointer_only":0,"phrase":"1 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; 1 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/measuring-systematic-generalization-in-neural#ran","syntology_url":"https://syntology.ai/paper/2009.14786","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2009.14786"}},"official":{"repos":["NicolasAG/SGinPG"],"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"]}}},{"url":"/paper/the-nethack-learning-environment","slug":"the-nethack-learning-environment","title":"The NetHack Learning Environment","date":"2020-06-24","arxiv_id":"2006.13760","repositories_listed":3,"syntology":{"n":11,"n_ran":6,"n_constructed":0,"n_ran_checked":5,"n_instrument":1,"n_unverified":5,"n_honours":0,"n_violates":0,"n_no_contract":5,"n_pointer_only":3,"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) · 5 unverified","sample_list":"/paper/the-nethack-learning-environment#ran","syntology_url":"https://syntology.ai/paper/2006.13760","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2006.13760"}},"official":{"repos":["facebookresearch/nle"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":2,"ran_from_kinds":["listed","official"]}}},{"url":"/paper/closure-assessing-systematic-generalization","slug":"closure-assessing-systematic-generalization","title":"CLOSURE: Assessing Systematic Generalization of CLEVR Models","date":"2019-12-12","arxiv_id":"1912.05783","repositories_listed":3,"syntology":{"n":10,"n_ran":10,"n_constructed":0,"n_ran_checked":7,"n_instrument":3,"n_unverified":0,"n_honours":2,"n_violates":0,"n_no_contract":5,"n_pointer_only":2,"phrase":"10 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; 3 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/closure-assessing-systematic-generalization#ran","syntology_url":"https://syntology.ai/paper/1912.05783","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1912.05783"}},"official":{"repos":["rizar/CLOSURE"],"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":["listed","official"]}}},{"url":"/paper/capacity-bandwidth-and-compositionality-in","slug":"capacity-bandwidth-and-compositionality-in","title":"Capacity, Bandwidth, and Compositionality in Emergent Language Learning","date":"2019-10-24","arxiv_id":"1910.11424","repositories_listed":1,"syntology":{"n":3,"n_ran":3,"n_constructed":0,"n_ran_checked":3,"n_instrument":0,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":3,"n_pointer_only":0,"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) · 0 unverified","sample_list":"/paper/capacity-bandwidth-and-compositionality-in#ran","syntology_url":"https://syntology.ai/paper/1910.11424","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1910.11424"}},"official":{"repos":["backpropper/cbc-emecom"],"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/clutrr-a-diagnostic-benchmark-for-inductive","slug":"clutrr-a-diagnostic-benchmark-for-inductive","title":"CLUTRR: A Diagnostic Benchmark for Inductive Reasoning from Text","date":"2019-08-16","arxiv_id":"1908.06177","repositories_listed":5,"syntology":{"n":1,"n_ran":1,"n_constructed":0,"n_ran_checked":0,"n_instrument":1,"n_unverified":0,"n_honours":0,"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; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 1 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/clutrr-a-diagnostic-benchmark-for-inductive#ran","syntology_url":"https://syntology.ai/paper/1908.06177","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1908.06177"}},"official":{"repos":["facebookresearch/clutrr"],"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"]}}},{"url":"/paper/compositional-generalization-in-a-deep","slug":"compositional-generalization-in-a-deep","title":"Compositional generalization in a deep seq2seq model by separating syntax and semantics","date":"2019-04-22","arxiv_id":"1904.09708","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":0,"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/compositional-generalization-in-a-deep#ran","syntology_url":"https://syntology.ai/paper/1904.09708","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1904.09708"}},"official":null}},{"url":"/paper/multi-object-representation-learning-with","slug":"multi-object-representation-learning-with","title":"Multi-Object Representation Learning with Iterative Variational Inference","date":"2019-03-01","arxiv_id":"1903.00450","repositories_listed":6,"syntology":{"n":6,"n_ran":5,"n_constructed":0,"n_ran_checked":4,"n_instrument":1,"n_unverified":1,"n_honours":0,"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; 4 with no instrument failure: 0 honoured, 0 violated, 4 with no contract checked; 1 where Syntology's instrument failed) · 1 unverified","sample_list":"/paper/multi-object-representation-learning-with#ran","syntology_url":"https://syntology.ai/paper/1903.00450","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1903.00450"}},"official":{"repos":["deepmind/deepmind-research"],"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/systematic-generalization-what-is-required","slug":"systematic-generalization-what-is-required","title":"Systematic Generalization: What Is Required and Can It Be Learned?","date":"2018-11-30","arxiv_id":"1811.12889","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":5,"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/systematic-generalization-what-is-required#ran","syntology_url":"https://syntology.ai/paper/1811.12889","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1811.12889"}},"official":{"repos":["rizar/systematic-generalization-sqoop"],"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"]}}}],"record_sha256":"85cea0386c79f1a53430b6bd04ff9e6fc4b3dec5e045d9a328fd2a49217f0f16","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}