{"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/compute-variance","entry":"compute_variance","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":4,"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":4,"n_samples_fingerprinted":2,"n_places":5,"n_places_pointer_only":2,"by_status":{"ran_honours":0,"ran_violates":0,"ran_draft_wrong":0,"ran_fixture":0,"ran":4,"unverified":1},"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":"2602.02495","paper":"/paper/arxiv-2602-02495","title":"Reward-free Alignment for Conflicting Objectives","date":null,"month_inferred_from_arxiv_id":"2026-02","title_source":"syntology","repo":"PeterLauLukChen/RACO","path":"script/calc_raco_metric_stats.py","file_url":"https://github.com/PeterLauLukChen/RACO/blob/HEAD/script/calc_raco_metric_stats.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":"9ebf3925d706325e","mcp_get_code":{"code_sha256":"9ebf3925d706325e"}},{"arxiv_id":"2408.08656","paper":"/paper/llms-are-biased-towards-output-formats","title":"LLMs Are Biased Towards Output Formats! Systematically Evaluating and Mitigating Output Format Bias of LLMs","date":"2024-08-16","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"dxlong2000/FormatEval","path":"EvalData/sampling.py","file_url":"https://github.com/dxlong2000/FormatEval/blob/HEAD/EvalData/sampling.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":true,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"306480175aba7766","mcp_get_code":{"code_sha256":"306480175aba7766"}},{"arxiv_id":"2407.12784","paper":"/paper/agentpoison-red-teaming-llm-agents-via","title":"AgentPoison: Red-teaming LLM Agents via Poisoning Memory or Knowledge Bases","date":"2024-07-17","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"BillChan226/AgentPoison","path":"algo/trigger_optimization.py","file_url":"https://github.com/BillChan226/AgentPoison/blob/HEAD/algo/trigger_optimization.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":true,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"3611056c42266233","mcp_get_code":{"code_sha256":"3611056c42266233"}},{"arxiv_id":"2312.14461","paper":"/paper/attacking-byzantine-robust-aggregation-in","title":"Attacking Byzantine Robust Aggregation in High Dimensions","date":"2023-12-22","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"sarthak-choudhary/hidra","path":"src/utils.py","file_url":"https://github.com/sarthak-choudhary/hidra/blob/HEAD/src/utils.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NOASSERTION","inline_ok":false,"code_sha256_prefix":"a0154c780339bae5","mcp_get_code":{"code_sha256":"a0154c780339bae5"}},{"arxiv_id":"2309.15575","paper":"/paper/confidence-based-visual-dispersal-for-few-1","title":"Confidence-based Visual Dispersal for Few-shot Unsupervised Domain Adaptation","date":"2023-09-27","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"Bostoncake/C-VisDiT","path":"src/models/clustering.py","file_url":"https://github.com/Bostoncake/C-VisDiT/blob/HEAD/src/models/clustering.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"f64acac08bfc5025","mcp_get_code":{"code_sha256":"f64acac08bfc5025"}}]}