{"about":{"site":"https://codewithpapers.app","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.","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"},"url":"/code/grucell","entry":"GRUCell","source":"Syntology graph, per-sample; not an archive number","read_at":"2026-09-24T18:15:14+00:00","claim":"Names are grouped by exact entry-name string. Same-named routines are NOT asserted to be equivalent; 'ran' means executed on a synthesized fixture, not correctness. n_samples_ran = sum of by_status over every status except 'unverified' (ran_draft_wrong and ran_fixture are failures of Syntology's instrument, not of the code); n_papers_ran = papers with at least one such sample.","status_vocabulary":{"ran_honours":"ran, honoured the contract we drafted","ran_violates":"ran, violated the contract we drafted","ran_draft_wrong":"ran; our contract draft was wrong, not the code","ran_fixture":"ran; our fixture could not drive it","ran":"ran on a synthesized input","unverified":"unverified (harvested, no recorded run)"},"n_papers":7,"n_papers_ran":6,"units":"n_samples, n_samples_ran, n_samples_fingerprinted and by_status count distinct code bodies (code_sha256); n_places and n_places_pointer_only count places, one per (paper, code body) pair, which is also the unit of the samples list","n_samples":7,"n_samples_ran":6,"n_samples_fingerprinted":0,"n_places":7,"n_places_pointer_only":3,"by_status":{"ran_honours":0,"ran_violates":0,"ran_draft_wrong":0,"ran_fixture":0,"ran":6,"unverified":1},"syntology":{"atlas_url":null,"mcp":null,"mcp_per_sample":{"tool":"get_code","arguments_in":"samples[].mcp_get_code"},"developers":"https://syntology.ai/developers"},"samples":[{"arxiv_id":"2607.02166","paper":"/paper/arxiv-2607-02166","title":"Dynamic Neural Graph Encoding of Inference Processes in Deep Weight Space","date":null,"month_inferred_from_arxiv_id":"2026-07","title_source":"syntology","repo":"dddiowww/DNG","path":"dng_models.py","file_url":"https://github.com/dddiowww/DNG/blob/HEAD/dng_models.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"aa5ba7d76dd25266","mcp_get_code":{"code_sha256":"aa5ba7d76dd25266"}},{"arxiv_id":"2311.03309","paper":"/paper/neural-structure-learning-with-stochastic","title":"Neural Structure Learning with Stochastic Differential Equations","date":"2023-11-06","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"jarrycyx/unn","path":"CUTS_Plus/model/cuts_plus_net.py","file_url":"https://github.com/jarrycyx/unn/blob/HEAD/CUTS_Plus/model/cuts_plus_net.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"e09ef2379cf07373","mcp_get_code":{"code_sha256":"e09ef2379cf07373"}},{"arxiv_id":"2305.15260","paper":"/paper/collaborative-world-models-an-online-offline","title":"Making Offline RL Online: Collaborative World Models for Offline Visual Reinforcement Learning","date":"2023-05-24","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"qiwang067/CoWorld","path":"models.py","file_url":"https://github.com/qiwang067/CoWorld/blob/HEAD/models.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"c2956715777b32f9","mcp_get_code":{"code_sha256":"c2956715777b32f9"}},{"arxiv_id":"2301.04104","paper":"/paper/mastering-diverse-domains-through-world","title":"Mastering Diverse Domains through World Models","date":"2023-01-10","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"nm512/dreamerv3-torch","path":"dreamer.py","file_url":"https://github.com/nm512/dreamerv3-torch/blob/HEAD/dreamer.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":"deterministic","behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"b277728e34839765","mcp_get_code":{"code_sha256":"b277728e34839765"}},{"arxiv_id":"2209.12016","paper":"/paper/unsupervised-model-based-pre-training-for","title":"Mastering the Unsupervised Reinforcement Learning Benchmark from Pixels","date":"2022-09-24","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"mazpie/mastering-urlb","path":"agent/dreamer.py","file_url":"https://github.com/mazpie/mastering-urlb/blob/HEAD/agent/dreamer.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":"deterministic","behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"3c568e9e0347391a","mcp_get_code":{"code_sha256":"3c568e9e0347391a"}},{"arxiv_id":"2111.12594","paper":"/paper/conditional-object-centric-learning-from-1","title":"Conditional Object-Centric Learning from Video","date":"2021-11-24","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"Genera1Z/SAVi-PyTorch","path":"model.py","file_url":"https://github.com/Genera1Z/SAVi-PyTorch/blob/HEAD/model.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"18be91c2b6f9fa44","mcp_get_code":{"code_sha256":"18be91c2b6f9fa44"}},{"arxiv_id":"2109.05808","paper":"/paper/expanding-end-to-end-question-answering-on","title":"Expanding End-to-End Question Answering on Differentiable Knowledge Graphs with Intersection","date":"2021-09-13","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"sid-sundrani/differentiable-kb-qa","path":"kgqa/models/models_nhop.py","file_url":"https://github.com/sid-sundrani/differentiable-kb-qa/blob/HEAD/kgqa/models/models_nhop.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"ffb88ab54dda0980","mcp_get_code":{"code_sha256":"ffb88ab54dda0980"}}]}