{"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/clear","entry":"clear","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":2,"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":2,"n_samples_fingerprinted":1,"n_places":5,"n_places_pointer_only":2,"by_status":{"ran_honours":1,"ran_violates":0,"ran_draft_wrong":1,"ran_fixture":0,"ran":0,"unverified":3},"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":"2312.06660","paper":"/paper/edgesam-prompt-in-the-loop-distillation-for","title":"EdgeSAM: Prompt-In-the-Loop Distillation for On-Device Deployment of SAM","date":"2023-12-11","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"chongzhou96/edgesam","path":"web_demo/gradio_app.py","file_url":"https://github.com/chongzhou96/edgesam/blob/HEAD/web_demo/gradio_app.py","status":"ran_draft_wrong","verification_level":1,"contract_check":"OUTPUT_MISDECLARED","metamorphic_tier":"deterministic","behaviour_fingerprint":false,"licence":"NOASSERTION","inline_ok":false,"code_sha256_prefix":"9eb544da6d7ca8ac","mcp_get_code":{"code_sha256":"9eb544da6d7ca8ac"}},{"arxiv_id":"2307.12577","paper":"/paper/prior-prototype-representation-joint-learning","title":"PRIOR: Prototype Representation Joint Learning from Medical Images and Reports","date":"2023-07-24","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"qtacierp/prior","path":"codes/prior/decoders/image.py","file_url":"https://github.com/qtacierp/prior/blob/HEAD/codes/prior/decoders/image.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"code_sha256_prefix":"a02381d03bed7018","mcp_get_code":{"code_sha256":"a02381d03bed7018"}},{"arxiv_id":"2303.05754","paper":"/paper/fast-diffusion-sampler-for-inverse-problems","title":"Decomposed Diffusion Sampler for Accelerating Large-Scale Inverse Problems","date":"2023-03-10","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"hj-harry/dds","path":"solver_2d.py","file_url":"https://github.com/hj-harry/dds/blob/HEAD/solver_2d.py","status":"ran_honours","verification_level":1,"contract_check":"HONOURS","metamorphic_tier":"invariant","behaviour_fingerprint":true,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"2c52eaf728ba40f9","mcp_get_code":{"code_sha256":"2c52eaf728ba40f9"}},{"arxiv_id":"1603.09320","paper":"/paper/efficient-and-robust-approximate-nearest","title":"Efficient and robust approximate nearest neighbor search using Hierarchical Navigable Small World graphs","date":"2016-03-30","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"nmslib/nmslib","path":"previous_releases_scripts/genplot.py","file_url":"https://github.com/nmslib/nmslib/blob/HEAD/previous_releases_scripts/genplot.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"code_sha256_prefix":"f38de72dd78893f4","mcp_get_code":{"code_sha256":"f38de72dd78893f4"}},{"arxiv_id":"2021.acl-long.192","paper":null,"title":"arXiv:2021.acl-long.192","date":null,"month_inferred_from_arxiv_id":null,"title_source":null,"repo":"thu-coai/LAUG","path":"LAUG/nlu/copynet/utils.py","file_url":"https://github.com/thu-coai/LAUG/blob/HEAD/LAUG/nlu/copynet/utils.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"code_sha256_prefix":"74ed8910aab314b7","mcp_get_code":{"code_sha256":"74ed8910aab314b7"}}]}