{"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/get-corpus","entry":"get_corpus","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":1,"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":1,"n_samples_fingerprinted":0,"n_places":5,"n_places_pointer_only":2,"by_status":{"ran_honours":0,"ran_violates":0,"ran_draft_wrong":0,"ran_fixture":0,"ran":1,"unverified":4},"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":"2602.11968","paper":"/paper/arxiv-2602-11968","title":"DHPLT: large-scale multilingual diachronic corpora and word representations for semantic change modelling","date":null,"month_inferred_from_arxiv_id":"2026-02","title_source":"syntology","repo":"PyThaiNLP/pythainlp","path":"pythainlp/corpus/core.py","file_url":"https://github.com/PyThaiNLP/pythainlp/blob/HEAD/pythainlp/corpus/core.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":"1a7014fba739a024","mcp_get_code":{"code_sha256":"1a7014fba739a024"}},{"arxiv_id":"2309.08172","paper":"/paper/laser-llm-agent-with-state-space-exploration","title":"LASER: LLM Agent with State-Space Exploration for Web Navigation","date":"2023-09-15","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"mayer123/laser","path":"web_agent_site/attributes/generate_attrs.py","file_url":"https://github.com/mayer123/laser/blob/HEAD/web_agent_site/attributes/generate_attrs.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"GPL-3.0","inline_ok":false,"code_sha256_prefix":"24cb4ccb4d00c917","mcp_get_code":{"code_sha256":"24cb4ccb4d00c917"}},{"arxiv_id":"2110.07474","paper":"/paper/mred-a-meta-review-dataset-for-controllable","title":"MReD: A Meta-Review Dataset for Structure-Controllable Text Generation","date":"2021-10-14","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"shen-chenhui/mred","path":"summarization/extractive/code/generic_baseline/generic.py","file_url":"https://github.com/shen-chenhui/mred/blob/HEAD/summarization/extractive/code/generic_baseline/generic.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"4a1e85a9669be971","mcp_get_code":{"code_sha256":"4a1e85a9669be971"}},{"arxiv_id":"1911.00133","paper":"/paper/dreaddit-a-reddit-dataset-for-stress-analysis-1","title":"Dreaddit: A Reddit Dataset for Stress Analysis in Social Media","date":"2019-10-31","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"gillian850413/Insight_Stress_Analysis","path":"script/tfidf.py","file_url":"https://github.com/gillian850413/Insight_Stress_Analysis/blob/HEAD/script/tfidf.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"e318ebf8e16f7d3c","mcp_get_code":{"code_sha256":"e318ebf8e16f7d3c"}},{"arxiv_id":"1310.4546","paper":"/paper/distributed-representations-of-words-and-1","title":"Distributed Representations of Words and Phrases and their Compositionality","date":"2013-10-16","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"JoegameZhou/ms-skipgram","path":"src/dataset.py","file_url":"https://github.com/JoegameZhou/ms-skipgram/blob/HEAD/src/dataset.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":"10fdaadaf6b04bd0","mcp_get_code":{"code_sha256":"10fdaadaf6b04bd0"}}]}