{"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/system-startup","entry":"system_startup","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":5,"n_samples_ran":1,"n_samples_fingerprinted":0,"n_places":5,"n_places_pointer_only":1,"by_status":{"ran_honours":0,"ran_violates":0,"ran_draft_wrong":0,"ran_fixture":0,"ran":1,"unverified":4},"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":"2411.13731","paper":"/paper/delta-influence-unlearning-poisons-via","title":"Delta-Influence: Unlearning Poisons via Influence Functions","date":"2024-11-20","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"Ruby-a07/delta-influence","path":"forest/utils.py","file_url":"https://github.com/Ruby-a07/delta-influence/blob/HEAD/forest/utils.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"120427a416e5f3a1","mcp_get_code":{"code_sha256":"120427a416e5f3a1"}},{"arxiv_id":"2402.14020","paper":"/paper/coercing-llms-to-do-and-reveal-almost","title":"Coercing LLMs to do and reveal (almost) anything","date":"2024-02-21","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"jonasgeiping/carving","path":"carving/utils.py","file_url":"https://github.com/jonasgeiping/carving/blob/HEAD/carving/utils.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"ef123b64470adcdc","mcp_get_code":{"code_sha256":"ef123b64470adcdc"}},{"arxiv_id":"2307.06440","paper":"/paper/no-train-no-gain-revisiting-efficient","title":"No Train No Gain: Revisiting Efficient Training Algorithms For Transformer-based Language Models","date":"2023-07-12","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"JeanKaddour/NoTrainNoGain","path":"bert/cramming/utils.py","file_url":"https://github.com/JeanKaddour/NoTrainNoGain/blob/HEAD/bert/cramming/utils.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"871963e556958789","mcp_get_code":{"code_sha256":"871963e556958789"}},{"arxiv_id":"Sun_Soteria_Provable_Defense_Against_Privacy_Leakage_in_Federated_Learning_From_CVPR_2021_paper","paper":null,"title":"arXiv:Sun_Soteria_Provable_Defense_Against_Privacy_Leakage_in_Federated_Learning_From_CVPR_2021_paper","date":null,"month_inferred_from_arxiv_id":null,"title_source":null,"repo":"jeremy313/Soteria","path":"GS_attack/inversefed/utils.py","file_url":"https://github.com/jeremy313/Soteria/blob/HEAD/GS_attack/inversefed/utils.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"207009dba80fab29","mcp_get_code":{"code_sha256":"207009dba80fab29"}},{"arxiv_id":"Shan_Geminio_Language-Guided_Gradient_Inversion_Attacks_in_Federated_Learning_ICCV_2025_paper","paper":null,"title":"arXiv:Shan_Geminio_Language-Guided_Gradient_Inversion_Attacks_in_Federated_Learning_ICCV_2025_paper","date":null,"month_inferred_from_arxiv_id":null,"title_source":null,"repo":"HKU-TASR/Geminio","path":"breaching/utils.py","file_url":"https://github.com/HKU-TASR/Geminio/blob/HEAD/breaching/utils.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"2b99d341f14c3139","mcp_get_code":{"code_sha256":"2b99d341f14c3139"}}]}