{"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/split-dense-inputs","entry":"split_dense_inputs","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":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":1,"n_samples_ran":1,"n_samples_fingerprinted":0,"n_places":5,"n_places_pointer_only":1,"by_status":{"ran_honours":0,"ran_violates":0,"ran_draft_wrong":0,"ran_fixture":0,"ran":1,"unverified":0},"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":"2406.15657","paper":"/paper/first-faster-improved-listwise-reranking-with","title":"FIRST: Faster Improved Listwise Reranking with Single Token Decoding","date":"2024-06-21","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"gangiswag/llm-reranker","path":"tevatron/src/tevatron/trainer.py","file_url":"https://github.com/gangiswag/llm-reranker/blob/HEAD/tevatron/src/tevatron/trainer.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"a68ca4e05b568068","mcp_get_code":{"code_sha256":"a68ca4e05b568068"}},{"arxiv_id":"2306.16680","paper":"/paper/exploring-the-representation-power-of-splade","title":"Exploring the Representation Power of SPLADE Models","date":"2023-06-29","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"ielab/understanding-splade","path":"tevatron/src/tevatron/trainer.py","file_url":"https://github.com/ielab/understanding-splade/blob/HEAD/tevatron/src/tevatron/trainer.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":"a68ca4e05b568068","mcp_get_code":{"code_sha256":"a68ca4e05b568068"}},{"arxiv_id":"2304.11370","paper":"/paper/sailer-structure-aware-pre-trained-language","title":"SAILER: Structure-aware Pre-trained Language Model for Legal Case Retrieval","date":"2023-04-22","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"cshaitao/sailer","path":"src/dense/trainer.py","file_url":"https://github.com/cshaitao/sailer/blob/HEAD/src/dense/trainer.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"a68ca4e05b568068","mcp_get_code":{"code_sha256":"a68ca4e05b568068"}},{"arxiv_id":"ijcai2022_0275","paper":null,"title":"arXiv:ijcai2022_0275","date":null,"month_inferred_from_arxiv_id":null,"title_source":null,"repo":"cxa-unique/RoDR","path":"tevatron/trainer.py","file_url":"https://github.com/cxa-unique/RoDR/blob/HEAD/tevatron/trainer.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":"a68ca4e05b568068","mcp_get_code":{"code_sha256":"a68ca4e05b568068"}},{"arxiv_id":"2024.findings-emnlp.625","paper":null,"title":"arXiv:2024.findings-emnlp.625","date":null,"month_inferred_from_arxiv_id":null,"title_source":null,"repo":"CSHaitao/SAILER","path":"src/dense/trainer.py","file_url":"https://github.com/CSHaitao/SAILER/blob/HEAD/src/dense/trainer.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"a68ca4e05b568068","mcp_get_code":{"code_sha256":"a68ca4e05b568068"}}]}