{"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/ga","entry":"GA","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":1,"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":6,"n_samples_ran":1,"n_samples_fingerprinted":0,"n_places":6,"n_places_pointer_only":1,"by_status":{"ran_honours":0,"ran_violates":0,"ran_draft_wrong":0,"ran_fixture":1,"ran":0,"unverified":5},"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":"2509.20719","paper":"/paper/arxiv-2509-20719","title":"A Genetic Algorithm for Navigating Synthesizable Molecular Spaces","date":null,"month_inferred_from_arxiv_id":"2025-09","title_source":"syntology","repo":"alstonlo/synga","path":"src/optim/synga.py","file_url":"https://github.com/alstonlo/synga/blob/HEAD/src/optim/synga.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"038622c9c761de69","mcp_get_code":{"code_sha256":"038622c9c761de69"}},{"arxiv_id":"2508.01984","paper":"/paper/arxiv-2508-01984","title":"IMoRe: Implicit Program-Guided Reasoning for Human Motion Q&A","date":null,"month_inferred_from_arxiv_id":"2025-08","title_source":"syntology","repo":"LUNAProject22/IMoRe","path":"IMoReModels/IMoReI/models/IPGRM_reasoning.py","file_url":"https://github.com/LUNAProject22/IMoRe/blob/HEAD/IMoReModels/IMoReI/models/IPGRM_reasoning.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"bd2d2f5f3c04b713","mcp_get_code":{"code_sha256":"bd2d2f5f3c04b713"}},{"arxiv_id":"2409.19732","paper":"/paper/unified-gradient-based-machine-unlearning","title":"Unified Gradient-Based Machine Unlearning with Remain Geometry Enhancement","date":"2024-09-29","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"OPTML-Group/Unlearn-Saliency","path":"Classification/unlearn/GA_prune.py","file_url":"https://github.com/OPTML-Group/Unlearn-Saliency/blob/HEAD/Classification/unlearn/GA_prune.py","status":"ran_fixture","verification_level":1,"contract_check":"RAISES","metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"1b3f6a248551b312","mcp_get_code":{"code_sha256":"1b3f6a248551b312"}},{"arxiv_id":"2310.12508","paper":"/paper/salun-empowering-machine-unlearning-via","title":"SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation","date":"2023-10-19","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"optml-group/unlearn-saliency","path":"Classification/unlearn/GA_prune.py","file_url":"https://github.com/optml-group/unlearn-saliency/blob/HEAD/Classification/unlearn/GA_prune.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"1e7882ed2e1e9d82","mcp_get_code":{"code_sha256":"1e7882ed2e1e9d82"}},{"arxiv_id":"2310.12508","paper":"/paper/salun-empowering-machine-unlearning-via","title":"SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation","date":"2023-10-19","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"optml-group/unlearn-saliency","path":"Classification/unlearn/GA_prune_bi.py","file_url":"https://github.com/optml-group/unlearn-saliency/blob/HEAD/Classification/unlearn/GA_prune_bi.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"552196cf57918ac6","mcp_get_code":{"code_sha256":"552196cf57918ac6"}},{"arxiv_id":"2106.01751","paper":"/paper/reordering-examples-helps-during-priming","title":"Reordering Examples Helps during Priming-based Few-Shot Learning","date":"2021-06-03","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"SawanKumar28/pero","path":"src/opt_utils.py","file_url":"https://github.com/SawanKumar28/pero/blob/HEAD/src/opt_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":"fa053ba6d77847c8","mcp_get_code":{"code_sha256":"fa053ba6d77847c8"}}]}