{"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/forward-with-cache","entry":"forward_with_cache","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":7,"n_papers_ran":7,"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":0,"n_places":7,"n_places_pointer_only":4,"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":"2605.15687","paper":"/paper/arxiv-2605-15687","title":"ASRU: Activation Steering Meets Reinforcement Unlearning for Multimodal Large Language Models","date":null,"month_inferred_from_arxiv_id":"2026-05","title_source":"syntology","repo":"guangjh/ASRU","path":"ASRU/act_steering.py","file_url":"https://github.com/guangjh/ASRU/blob/HEAD/ASRU/act_steering.py","status":"ran_honours","verification_level":1,"contract_check":"HONOURS","metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"fc4d92248f73dc44","mcp_get_code":{"code_sha256":"fc4d92248f73dc44"}},{"arxiv_id":"2605.08765","paper":"/paper/arxiv-2605-08765","title":"Unlearners Can Lie: Evaluating and Improving Honesty in LLM Unlearning","date":null,"month_inferred_from_arxiv_id":"2026-05","title_source":"syntology","repo":"OPTML-Group/ReVa","path":"src/train/reva/utils.py","file_url":"https://github.com/OPTML-Group/ReVa/blob/HEAD/src/train/reva/utils.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"17f8adc99ab2c7a8","mcp_get_code":{"code_sha256":"17f8adc99ab2c7a8"}},{"arxiv_id":"2504.10185","paper":"/paper/llm-unlearning-reveals-a-stronger-than","title":"LLM Unlearning Reveals a Stronger-Than-Expected Coreset Effect in Current Benchmarks","date":"2025-04-14","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"optml-group/mu-coreset","path":"wmdp/evals/check_LMC_npo_dist.py","file_url":"https://github.com/optml-group/mu-coreset/blob/HEAD/wmdp/evals/check_LMC_npo_dist.py","status":"ran_draft_wrong","verification_level":1,"contract_check":"MISDECLARED","metamorphic_tier":"well_formed","behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"3f5786018110c4cb","mcp_get_code":{"code_sha256":"3f5786018110c4cb"}},{"arxiv_id":"2408.06223","paper":"/paper/on-effects-of-steering-latent-representation","title":"On Effects of Steering Latent Representation for Large Language Model Unlearning","date":"2024-08-12","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"RebelsNLU-jaist/llm-unlearning","path":"baselines/adap_rmu/utils.py","file_url":"https://github.com/RebelsNLU-jaist/llm-unlearning/blob/HEAD/baselines/adap_rmu/utils.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"5740a4c2fd3b51ed","mcp_get_code":{"code_sha256":"5740a4c2fd3b51ed"}},{"arxiv_id":"2406.13356","paper":"/paper/jogging-the-memory-of-unlearned-model-through","title":"Jogging the Memory of Unlearned LLMs Through Targeted Relearning Attacks","date":"2024-06-19","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"s-huu/jog_llm_memory","path":"wmdp/src/utils.py","file_url":"https://github.com/s-huu/jog_llm_memory/blob/HEAD/wmdp/src/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":"5740a4c2fd3b51ed","mcp_get_code":{"code_sha256":"5740a4c2fd3b51ed"}},{"arxiv_id":"2403.03218","paper":"/paper/the-wmdp-benchmark-measuring-and-reducing","title":"The WMDP Benchmark: Measuring and Reducing Malicious Use With Unlearning","date":"2024-03-05","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"centerforaisafety/wmdp","path":"rmu/utils.py","file_url":"https://github.com/centerforaisafety/wmdp/blob/HEAD/rmu/utils.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"5740a4c2fd3b51ed","mcp_get_code":{"code_sha256":"5740a4c2fd3b51ed"}},{"arxiv_id":"2312.06550","paper":"/paper/llm360-towards-fully-transparent-open-source","title":"LLM360: Towards Fully Transparent Open-Source LLMs","date":"2023-12-11","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"llm360/analysis360","path":"analysis/unlearning/utils/model_utils.py","file_url":"https://github.com/llm360/analysis360/blob/HEAD/analysis/unlearning/utils/model_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":"5740a4c2fd3b51ed","mcp_get_code":{"code_sha256":"5740a4c2fd3b51ed"}}]}