{"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/list-to-dict","entry":"list_to_dict","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":8,"n_papers_ran":5,"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":4,"n_samples_fingerprinted":2,"n_places":8,"n_places_pointer_only":4,"by_status":{"ran_honours":0,"ran_violates":0,"ran_draft_wrong":1,"ran_fixture":0,"ran":3,"unverified":2},"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":"2606.10528","paper":"/paper/arxiv-2606-10528","title":"Representation-Aware Advantage Estimation: Your Reward Model Provides More Than A Scalar Output","date":null,"month_inferred_from_arxiv_id":"2026-06","title_source":"syntology","repo":"fanqiwan/FuseAI","path":"FuseChat/train/align_token_and_vocab.py","file_url":"https://github.com/fanqiwan/FuseAI/blob/HEAD/FuseChat/train/align_token_and_vocab.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"8e08bca34751633c","mcp_get_code":{"code_sha256":"8e08bca34751633c"}},{"arxiv_id":"2507.06167","paper":"/paper/skywork-r1v3-technical-report","title":"Skywork-R1V3 Technical Report","date":"2025-07-08","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"seephys/seephys-project","path":"vlmeval/dataset/utils/seephys.py","file_url":"https://github.com/seephys/seephys-project/blob/HEAD/vlmeval/dataset/utils/seephys.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"82238737d11621e0","mcp_get_code":{"code_sha256":"82238737d11621e0"}},{"arxiv_id":"2505.17163","paper":"/paper/ocr-reasoning-benchmark-unveiling-the-true","title":"OCR-Reasoning Benchmark: Unveiling the True Capabilities of MLLMs in Complex Text-Rich Image Reasoning","date":"2025-05-22","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"SCUT-DLVCLab/OCR-Reasoning","path":"vlmeval/dataset/utils/ocr_reasoning.py","file_url":"https://github.com/SCUT-DLVCLab/OCR-Reasoning/blob/HEAD/vlmeval/dataset/utils/ocr_reasoning.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":"82238737d11621e0","mcp_get_code":{"code_sha256":"82238737d11621e0"}},{"arxiv_id":"2412.03187","paper":"/paper/weighted-reward-preference-optimization-for","title":"Weighted-Reward Preference Optimization for Implicit Model Fusion","date":"2024-12-04","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"fanqiwan/fuseai","path":"FuseChat/train/align_token_and_vocab.py","file_url":"https://github.com/fanqiwan/fuseai/blob/HEAD/FuseChat/train/align_token_and_vocab.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"8e08bca34751633c","mcp_get_code":{"code_sha256":"8e08bca34751633c"}},{"arxiv_id":"2409.08330","paper":"/paper/real-or-robotic-assessing-whether-llms","title":"Real or Robotic? Assessing Whether LLMs Accurately Simulate Qualities of Human Responses in Dialogue","date":"2024-09-12","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"davidjurgens/human-llm-similarity","path":"src/analysis/aggregate_metrics_helper.py","file_url":"https://github.com/davidjurgens/human-llm-similarity/blob/HEAD/src/analysis/aggregate_metrics_helper.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":true,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"86df211b70a3a635","mcp_get_code":{"code_sha256":"86df211b70a3a635"}},{"arxiv_id":"2310.18685","paper":"/paper/when-reviewers-lock-horn-finding-disagreement","title":"When Reviewers Lock Horn: Finding Disagreement in Scientific Peer Reviews","date":"2023-10-28","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"sandeep82945/contradiction-in-peer-review","path":"src/utils/list_dict_data_tool.py","file_url":"https://github.com/sandeep82945/contradiction-in-peer-review/blob/HEAD/src/utils/list_dict_data_tool.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":"66cbfd6d3a76a33d","mcp_get_code":{"code_sha256":"66cbfd6d3a76a33d"}},{"arxiv_id":"1511.05952","paper":"/paper/prioritized-experience-replay","title":"Prioritized Experience Replay","date":"2015-11-18","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"Damcy/prioritized-experience-replay","path":"rank_based.py","file_url":"https://github.com/Damcy/prioritized-experience-replay/blob/HEAD/rank_based.py","status":"ran_draft_wrong","verification_level":1,"contract_check":"OUTPUT_MISDECLARED","metamorphic_tier":null,"behaviour_fingerprint":true,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"04747a180661f699","mcp_get_code":{"code_sha256":"04747a180661f699"}},{"arxiv_id":"2025.findings-acl.964","paper":null,"title":"arXiv:2025.findings-acl.964","date":null,"month_inferred_from_arxiv_id":null,"title_source":null,"repo":"QwenLM/Qwen2.5-VL","path":"evaluation/MathVision/eval_utils.py","file_url":"https://github.com/QwenLM/Qwen2.5-VL/blob/HEAD/evaluation/MathVision/eval_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":"05e395e8f9142a2f","mcp_get_code":{"code_sha256":"05e395e8f9142a2f"}}]}