{"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/promptlearner","entry":"PromptLearner","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":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":0,"n_places":6,"n_places_pointer_only":2,"by_status":{"ran_honours":0,"ran_violates":0,"ran_draft_wrong":0,"ran_fixture":0,"ran":3,"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":"2504.20860","paper":null,"title":"arXiv:2504.20860","date":null,"month_inferred_from_arxiv_id":"2025-04","title_source":null,"repo":"mainaksingha01/FedMVP","path":"model/FedMVP.py","file_url":"https://github.com/mainaksingha01/FedMVP/blob/HEAD/model/FedMVP.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"55833832ffbbb22b","mcp_get_code":{"code_sha256":"55833832ffbbb22b"}},{"arxiv_id":"2502.09635","paper":"/paper/correct-context-and-reference-augmented","title":"CORRECT: Context- and Reference-Augmented Reasoning and Prompting for Fact-Checking","date":"2025-02-09","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"cezhang01/correct","path":"model.py","file_url":"https://github.com/cezhang01/correct/blob/HEAD/model.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"7421a75e182ce2d1","mcp_get_code":{"code_sha256":"7421a75e182ce2d1"}},{"arxiv_id":"2404.05231","paper":"/paper/promptad-learning-prompts-with-only-normal","title":"PromptAD: Learning Prompts with only Normal Samples for Few-Shot Anomaly Detection","date":"2024-04-08","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"FuNz-0/PromptAD","path":"PromptAD/model.py","file_url":"https://github.com/FuNz-0/PromptAD/blob/HEAD/PromptAD/model.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Unlicense","inline_ok":true,"code_sha256_prefix":"a04cfa7dc81328f3","mcp_get_code":{"code_sha256":"a04cfa7dc81328f3"}},{"arxiv_id":"2210.01033","paper":"/paper/lpt-long-tailed-prompt-tuning-for-image","title":"LPT: Long-tailed Prompt Tuning for Image Classification","date":"2022-10-03","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"dongsky/lpt","path":"phase2_test/PromptModels_pool/structure.py","file_url":"https://github.com/dongsky/lpt/blob/HEAD/phase2_test/PromptModels_pool/structure.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":"deterministic","behaviour_fingerprint":false,"licence":"AGPL-3.0","inline_ok":false,"code_sha256_prefix":"2f28176bcab7b682","mcp_get_code":{"code_sha256":"2f28176bcab7b682"}},{"arxiv_id":"2109.01134","paper":"/paper/learning-to-prompt-for-vision-language-models","title":"Learning to Prompt for Vision-Language Models","date":"2021-09-02","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"ThomasWangY/2024-AAAI-HPT","path":"trainers/hpt.py","file_url":"https://github.com/ThomasWangY/2024-AAAI-HPT/blob/HEAD/trainers/hpt.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":"deterministic","behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"8a2b72f24481ca15","mcp_get_code":{"code_sha256":"8a2b72f24481ca15"}},{"arxiv_id":"2109.01134","paper":"/paper/learning-to-prompt-for-vision-language-models","title":"Learning to Prompt for Vision-Language Models","date":"2021-09-02","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"Vill-Lab/2024-TIP-MetaPrompt","path":"trainers/meta.py","file_url":"https://github.com/Vill-Lab/2024-TIP-MetaPrompt/blob/HEAD/trainers/meta.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"39be90830c4c1621","mcp_get_code":{"code_sha256":"39be90830c4c1621"}}]}