{"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/dot-score","entry":"dot_score","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":10,"n_papers_ran":7,"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":3,"n_samples_ran":1,"n_samples_fingerprinted":1,"n_places":10,"n_places_pointer_only":2,"by_status":{"ran_honours":0,"ran_violates":0,"ran_draft_wrong":0,"ran_fixture":0,"ran":1,"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":"2607.21274","paper":"/paper/arxiv-2607-21274","title":"A Comparative Evaluation of Embeddings and LLMs in a Greek Book Publisher Setting -The CUP Dataset","date":null,"month_inferred_from_arxiv_id":"2026-07","title_source":"syntology","repo":"beir-cellar/beir","path":"beir/util.py","file_url":"https://github.com/beir-cellar/beir/blob/HEAD/beir/util.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":"afa18317f44e63ad","mcp_get_code":{"code_sha256":"afa18317f44e63ad"}},{"arxiv_id":"2407.02883","paper":"/paper/coir-a-comprehensive-benchmark-for-code","title":"CoIR: A Comprehensive Benchmark for Code Information Retrieval Models","date":"2024-07-03","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"coir-team/coir","path":"coir/beir/util.py","file_url":"https://github.com/coir-team/coir/blob/HEAD/coir/beir/util.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":"afa18317f44e63ad","mcp_get_code":{"code_sha256":"afa18317f44e63ad"}},{"arxiv_id":"2406.14277","paper":"/paper/augmenting-query-and-passage-for-retrieval","title":"QPaug: Question and Passage Augmentation for Open-Domain Question Answering of LLMs","date":"2024-06-20","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"kmswin1/qpaug","path":"beir/util.py","file_url":"https://github.com/kmswin1/qpaug/blob/HEAD/beir/util.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":true,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"afa18317f44e63ad","mcp_get_code":{"code_sha256":"afa18317f44e63ad"}},{"arxiv_id":"2310.20501","paper":"/paper/llms-may-dominate-information-access-neural","title":"Neural Retrievers are Biased Towards LLM-Generated Content","date":"2023-10-31","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"kid-22/llm4ir-bias","path":"beir/util.py","file_url":"https://github.com/kid-22/llm4ir-bias/blob/HEAD/beir/util.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":true,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"afa18317f44e63ad","mcp_get_code":{"code_sha256":"afa18317f44e63ad"}},{"arxiv_id":"2104.08663","paper":"/paper/beir-a-heterogenous-benchmark-for-zero-shot","title":"BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models","date":"2021-04-17","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"UKPLab/beir","path":"beir/util.py","file_url":"https://github.com/UKPLab/beir/blob/HEAD/beir/util.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":"afa18317f44e63ad","mcp_get_code":{"code_sha256":"afa18317f44e63ad"}},{"arxiv_id":"2011.01536","paper":"/paper/transquest-translation-quality-estimation","title":"TransQuest: Translation Quality Estimation with Cross-lingual Transformers","date":"2020-11-01","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"tharindudr/transQuest","path":"transquest/algo/sentence_level/siamesetransquest/util.py","file_url":"https://github.com/tharindudr/transQuest/blob/HEAD/transquest/algo/sentence_level/siamesetransquest/util.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":"012009d484af4f75","mcp_get_code":{"code_sha256":"012009d484af4f75"}},{"arxiv_id":"1907.11692","paper":"/paper/roberta-a-robustly-optimized-bert-pretraining","title":"RoBERTa: A Robustly Optimized BERT Pretraining Approach","date":"2019-07-26","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"viethoang1512/kpa","path":"qs_kpa/losses/multiple_negatives_ranking_loss.py","file_url":"https://github.com/viethoang1512/kpa/blob/HEAD/qs_kpa/losses/multiple_negatives_ranking_loss.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":"afa18317f44e63ad","mcp_get_code":{"code_sha256":"afa18317f44e63ad"}},{"arxiv_id":"2025.emnlp-main.840","paper":null,"title":"arXiv:2025.emnlp-main.840","date":null,"month_inferred_from_arxiv_id":null,"title_source":null,"repo":"starsuzi/DAQu","path":"daqu/retrieval.py","file_url":"https://github.com/starsuzi/DAQu/blob/HEAD/daqu/retrieval.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"9f89efbbdb329216","mcp_get_code":{"code_sha256":"9f89efbbdb329216"}},{"arxiv_id":"2024.findings-acl.421","paper":null,"title":"arXiv:2024.findings-acl.421","date":null,"month_inferred_from_arxiv_id":null,"title_source":null,"repo":"KID-22/Cocktail","path":"benchmark/beir/util.py","file_url":"https://github.com/KID-22/Cocktail/blob/HEAD/benchmark/beir/util.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":true,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"afa18317f44e63ad","mcp_get_code":{"code_sha256":"afa18317f44e63ad"}},{"arxiv_id":"2023.findings-acl.892","paper":null,"title":"arXiv:2023.findings-acl.892","date":null,"month_inferred_from_arxiv_id":null,"title_source":null,"repo":"TharinduDR/TransQuest","path":"transquest/algo/sentence_level/siamesetransquest/util.py","file_url":"https://github.com/TharinduDR/TransQuest/blob/HEAD/transquest/algo/sentence_level/siamesetransquest/util.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":"012009d484af4f75","mcp_get_code":{"code_sha256":"012009d484af4f75"}}]}