{"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/chunk-text","entry":"chunk_text","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":6,"n_papers_ran":3,"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":3,"n_samples_fingerprinted":2,"n_places":6,"n_places_pointer_only":2,"by_status":{"ran_honours":0,"ran_violates":0,"ran_draft_wrong":1,"ran_fixture":0,"ran":2,"unverified":3},"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":"2606.11712","paper":"/paper/arxiv-2606-11712","title":"Substrate Asymmetry in User-Side Memory: A Diagnostic Framework","date":null,"month_inferred_from_arxiv_id":"2026-06","title_source":"syntology","repo":"EpistemicaLab/substrate-asymmetry-memory","path":"bench/experiments/29_runner.py","file_url":"https://github.com/EpistemicaLab/substrate-asymmetry-memory/blob/HEAD/bench/experiments/29_runner.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":true,"licence":"Apache-2.0","inline_ok":true,"code_sha256_prefix":"95d1fe843991b562","mcp_get_code":{"code_sha256":"95d1fe843991b562"}},{"arxiv_id":"2604.05114","paper":"/paper/arxiv-2604-05114","title":"π 2 : Structure-Originated Reasoning Data Improves Long-Context Reasoning Ability of Large Language Models","date":null,"month_inferred_from_arxiv_id":"2026-04","title_source":"syntology","repo":"vt-pi-squared/pi-squared","path":"datasets/ours/code/utils.py","file_url":"https://github.com/vt-pi-squared/pi-squared/blob/HEAD/datasets/ours/code/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":"0e2958714bc2629c","mcp_get_code":{"code_sha256":"0e2958714bc2629c"}},{"arxiv_id":"2603.13338","paper":"/paper/arxiv-2603-13338","title":"OpenExtract: Automated Data Extraction for Systematic Reviews in Health","date":null,"month_inferred_from_arxiv_id":"2026-03","title_source":"syntology","repo":"JimAchterbergLUMC/OpenExtract","path":"pipeline/qa_orchestrator.py","file_url":"https://github.com/JimAchterbergLUMC/OpenExtract/blob/HEAD/pipeline/qa_orchestrator.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"66aa8d90119c22e6","mcp_get_code":{"code_sha256":"66aa8d90119c22e6"}},{"arxiv_id":"2602.16607","paper":"/paper/arxiv-2602-16607","title":"CitiLink-Summ: A Dataset of Discussion Subjects Summaries in European Portuguese Municipal Meeting Minutes","date":null,"month_inferred_from_arxiv_id":"2026-02","title_source":"syntology","repo":"INESCTEC/citilink-summ","path":"baselines/evaluation/Baseline_Eval_Encoder-Decoder-Models.py","file_url":"https://github.com/INESCTEC/citilink-summ/blob/HEAD/baselines/evaluation/Baseline_Eval_Encoder-Decoder-Models.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"4122fee46662f7b5","mcp_get_code":{"code_sha256":"4122fee46662f7b5"}},{"arxiv_id":"2408.15545","paper":"/paper/scilitllm-how-to-adapt-llms-for-scientific","title":"SciLitLLM: How to Adapt LLMs for Scientific Literature Understanding","date":"2024-08-28","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"dptech-corp/uni-smart","path":"SciLitLLM/cpt/format_grammar_correction.py","file_url":"https://github.com/dptech-corp/uni-smart/blob/HEAD/SciLitLLM/cpt/format_grammar_correction.py","status":"ran_draft_wrong","verification_level":2,"contract_check":"OUTPUT_MISDECLARED","metamorphic_tier":"deterministic","behaviour_fingerprint":true,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"82a2172211c2ce1f","mcp_get_code":{"code_sha256":"82a2172211c2ce1f"}},{"arxiv_id":"1910.11856","paper":"/paper/on-the-cross-lingual-transferability-of","title":"On the Cross-lingual Transferability of Monolingual Representations","date":"2019-10-25","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"alon-albalak/xor-covid","path":"internalCORD_utils.py","file_url":"https://github.com/alon-albalak/xor-covid/blob/HEAD/internalCORD_utils.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"81605ae475dd6fab","mcp_get_code":{"code_sha256":"81605ae475dd6fab"}}]}