{"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/tensor-to-np","entry":"tensor_to_np","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":6,"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":4,"n_samples_ran":4,"n_samples_fingerprinted":1,"n_places":6,"n_places_pointer_only":5,"by_status":{"ran_honours":1,"ran_violates":0,"ran_draft_wrong":1,"ran_fixture":0,"ran":2,"unverified":0},"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":"2601.22763","paper":"/paper/arxiv-2601-22763","title":"Is Task-Specific Training Necessary for Anomaly Detection?","date":null,"month_inferred_from_arxiv_id":"2026-01","title_source":"syntology","repo":"longkukuhi/RAD","path":"rad_mvtec_visa_3dadam.py","file_url":"https://github.com/longkukuhi/RAD/blob/HEAD/rad_mvtec_visa_3dadam.py","status":"ran_draft_wrong","verification_level":1,"contract_check":"MISDECLARED","metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"5adb8bbf0150cecb","mcp_get_code":{"code_sha256":"5adb8bbf0150cecb"}},{"arxiv_id":"2410.01432","paper":"/paper/adaptive-teachers-for-amortized-samplers","title":"Adaptive teachers for amortized samplers","date":"2024-10-02","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"alstn12088/adaptive-teacher","path":"discovery/gflownet/GFNs/teacher.py","file_url":"https://github.com/alstn12088/adaptive-teacher/blob/HEAD/discovery/gflownet/GFNs/teacher.py","status":"ran_honours","verification_level":1,"contract_check":"HONOURS","metamorphic_tier":null,"behaviour_fingerprint":true,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"973c7b0697f6a623","mcp_get_code":{"code_sha256":"973c7b0697f6a623"}},{"arxiv_id":"2404.11120","paper":"/paper/tino-edit-timestep-and-noise-optimization-for","title":"TiNO-Edit: Timestep and Noise Optimization for Robust Diffusion-Based Image Editing","date":"2024-04-17","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"sherryxtchen/tino-edit","path":"latentclip/utils.py","file_url":"https://github.com/sherryxtchen/tino-edit/blob/HEAD/latentclip/utils.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"code_sha256_prefix":"3afdcc077a832396","mcp_get_code":{"code_sha256":"3afdcc077a832396"}},{"arxiv_id":"2310.02710","paper":"/paper/local-search-gflownets","title":"Local Search GFlowNets","date":"2023-10-04","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"dbsxodud-11/ls_gfn","path":"gflownet/utils.py","file_url":"https://github.com/dbsxodud-11/ls_gfn/blob/HEAD/gflownet/utils.py","status":"ran_honours","verification_level":1,"contract_check":"HONOURS","metamorphic_tier":null,"behaviour_fingerprint":true,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"973c7b0697f6a623","mcp_get_code":{"code_sha256":"973c7b0697f6a623"}},{"arxiv_id":"2310.00386","paper":"/paper/order-preserving-gflownets","title":"Order-Preserving GFlowNets","date":"2023-09-30","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"yhangchen/op-gfn","path":"single/GFN-Mole/gflownet/utils.py","file_url":"https://github.com/yhangchen/op-gfn/blob/HEAD/single/GFN-Mole/gflownet/utils.py","status":"ran_honours","verification_level":1,"contract_check":"HONOURS","metamorphic_tier":null,"behaviour_fingerprint":true,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"973c7b0697f6a623","mcp_get_code":{"code_sha256":"973c7b0697f6a623"}},{"arxiv_id":"2308.07795","paper":"/paper/learning-to-identify-critical-states-for","title":"Learning to Identify Critical States for Reinforcement Learning from Videos","date":"2023-08-15","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"ai-initiative-kaust/videorlcs","path":"utils.py","file_url":"https://github.com/ai-initiative-kaust/videorlcs/blob/HEAD/utils.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"3cfc0f6223c48293","mcp_get_code":{"code_sha256":"3cfc0f6223c48293"}}]}