{"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/process-json","entry":"process_json","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":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":7,"n_samples_ran":5,"n_samples_fingerprinted":0,"n_places":7,"n_places_pointer_only":1,"by_status":{"ran_honours":0,"ran_violates":0,"ran_draft_wrong":0,"ran_fixture":0,"ran":5,"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":"2412.04905","paper":"/paper/demo-reframing-dialogue-interaction-with-fine","title":"DEMO: Reframing Dialogue Interaction with Fine-grained Element Modeling","date":"2024-12-06","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"mozerwang/demo","path":"step3_result.py","file_url":"https://github.com/mozerwang/demo/blob/HEAD/step3_result.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":"47be6626f245bb96","mcp_get_code":{"code_sha256":"47be6626f245bb96"}},{"arxiv_id":"2407.20906","paper":"/paper/automated-review-generation-method-based-on","title":"Automated Review Generation Method Based on Large Language Models","date":"2024-07-30","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"tju-ecat-ai/automaticreviewgeneration","path":"ReviewComposition/Advanced_ComparedScore.py","file_url":"https://github.com/tju-ecat-ai/automaticreviewgeneration/blob/HEAD/ReviewComposition/Advanced_ComparedScore.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":"6f352bd68526a5d4","mcp_get_code":{"code_sha256":"6f352bd68526a5d4"}},{"arxiv_id":"2406.18522","paper":"/paper/chronomagic-bench-a-benchmark-for-metamorphic","title":"ChronoMagic-Bench: A Benchmark for Metamorphic Evaluation of Text-to-Time-lapse Video Generation","date":"2024-06-26","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"pku-yuangroup/magictime","path":"data_preprocess/step3_2_preprocess_video_caption.py","file_url":"https://github.com/pku-yuangroup/magictime/blob/HEAD/data_preprocess/step3_2_preprocess_video_caption.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":"f877f7eeafa5e4b6","mcp_get_code":{"code_sha256":"f877f7eeafa5e4b6"}},{"arxiv_id":"2406.11911","paper":"/paper/a-notion-of-complexity-for-theory-of-mind-via","title":"A Notion of Complexity for Theory of Mind via Discrete World Models","date":"2024-06-16","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"flecart/complexity-tom-dwm","path":"statefulness/copy_state_data.py","file_url":"https://github.com/flecart/complexity-tom-dwm/blob/HEAD/statefulness/copy_state_data.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"e8a7d9a22231b3b4","mcp_get_code":{"code_sha256":"e8a7d9a22231b3b4"}},{"arxiv_id":"2404.07677","paper":"/paper/oda-observation-driven-agent-for-integrating","title":"ODA: Observation-Driven Agent for integrating LLMs and Knowledge Graphs","date":"2024-04-11","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"lanjiuqing64/kgdata","path":"generate_subgraph/Wikidata/simple_wikidata_db/preprocess_utils/worker_process.py","file_url":"https://github.com/lanjiuqing64/kgdata/blob/HEAD/generate_subgraph/Wikidata/simple_wikidata_db/preprocess_utils/worker_process.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"eb7dec0d83eca48d","mcp_get_code":{"code_sha256":"eb7dec0d83eca48d"}},{"arxiv_id":"2312.03801","paper":"/paper/generalization-to-new-sequential-decision","title":"Generalization to New Sequential Decision Making Tasks with In-Context Learning","date":"2023-12-06","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"facebookresearch/minihack","path":"minihack/wiki.py","file_url":"https://github.com/facebookresearch/minihack/blob/HEAD/minihack/wiki.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":"3f38d26a50d12011","mcp_get_code":{"code_sha256":"3f38d26a50d12011"}},{"arxiv_id":"1906.09444","paper":"/paper/retrieving-sequential-information-for-non","title":"Retrieving Sequential Information for Non-Autoregressive Neural Machine Translation","date":"2019-06-22","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"ictnlp/RSI-NAT","path":"mscoco.py","file_url":"https://github.com/ictnlp/RSI-NAT/blob/HEAD/mscoco.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"BSD-3-Clause","inline_ok":true,"code_sha256_prefix":"e78e0b040c6b7e43","mcp_get_code":{"code_sha256":"e78e0b040c6b7e43"}}]}