{"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/resnetblockfc","entry":"ResnetBlockFC","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":5,"n_papers_ran":4,"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":5,"n_samples_ran":4,"n_samples_fingerprinted":3,"n_places":5,"n_places_pointer_only":2,"by_status":{"ran_honours":0,"ran_violates":0,"ran_draft_wrong":0,"ran_fixture":0,"ran":4,"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":"2403.08321","paper":"/paper/manigaussian-dynamic-gaussian-splatting-for","title":"ManiGaussian: Dynamic Gaussian Splatting for Multi-task Robotic Manipulation","date":"2024-03-13","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"GuanxingLu/ManiGaussian","path":"agents/manigaussian_bc/models_embed.py","file_url":"https://github.com/GuanxingLu/ManiGaussian/blob/HEAD/agents/manigaussian_bc/models_embed.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"425b6aa34e55eb0a","mcp_get_code":{"code_sha256":"425b6aa34e55eb0a"}},{"arxiv_id":"2307.09112","paper":"/paper/nu-mcc-multiview-compressive-coding-with-1","title":"NU-MCC: Multiview Compressive Coding with Neighborhood Decoder and Repulsive UDF","date":"2023-07-18","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"sail-sg/numcc","path":"src/model/nu_mcc.py","file_url":"https://github.com/sail-sg/numcc/blob/HEAD/src/model/nu_mcc.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":"deterministic","behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"code_sha256_prefix":"8e12757dead9cd1f","mcp_get_code":{"code_sha256":"8e12757dead9cd1f"}},{"arxiv_id":"2203.16529","paper":"/paper/cadex-learning-canonical-deformation","title":"CaDeX: Learning Canonical Deformation Coordinate Space for Dynamic Surface Representation via Neural Homeomorphism","date":"2022-03-30","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"JiahuiLei/CaDeX","path":"core/models/cadex_dfaust.py","file_url":"https://github.com/JiahuiLei/CaDeX/blob/HEAD/core/models/cadex_dfaust.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":"deterministic","behaviour_fingerprint":true,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"7c3092c35ff00f31","mcp_get_code":{"code_sha256":"7c3092c35ff00f31"}},{"arxiv_id":"2203.11194","paper":"/paper/generating-fast-and-slow-scene-decomposition","title":"Test-time Adaptation with Slot-Centric Models","date":"2022-03-21","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"mihirp1998/Slot-TTA","path":"models.py","file_url":"https://github.com/mihirp1998/Slot-TTA/blob/HEAD/models.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":"invariant","behaviour_fingerprint":true,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"62d31dc9b579dd5b","mcp_get_code":{"code_sha256":"62d31dc9b579dd5b"}},{"arxiv_id":"2103.16341","paper":"/paper/learning-parallel-dense-correspondence-from","title":"Learning Parallel Dense Correspondence from Spatio-Temporal Descriptors for Efficient and Robust 4D Reconstruction","date":"2021-03-30","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"tangjiapeng/LPDC-Net","path":"im2mesh/lpdc/models/displacement.py","file_url":"https://github.com/tangjiapeng/LPDC-Net/blob/HEAD/im2mesh/lpdc/models/displacement.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":"deterministic","behaviour_fingerprint":true,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"a47fe42800240350","mcp_get_code":{"code_sha256":"a47fe42800240350"}}]}