{"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/squarepad-transform","entry":"squarepad_transform","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":8,"n_papers_ran":6,"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":0,"n_places":8,"n_places_pointer_only":3,"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":"2601.03728","paper":"/paper/arxiv-2601-03728","title":"CSMCIR: CoT-Enhanced Symmetric Alignment with Memory Bank for Composed Image Retrieval","date":null,"month_inferred_from_arxiv_id":"2026-01","title_source":"syntology","repo":"qzp2018/CSMCIR","path":"src/data_utils_csmcir.py","file_url":"https://github.com/qzp2018/CSMCIR/blob/HEAD/src/data_utils_csmcir.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"65021e0b25e8fe04","mcp_get_code":{"code_sha256":"65021e0b25e8fe04"}},{"arxiv_id":"2409.04918","paper":"/paper/training-free-zs-cir-via-weighted-modality","title":"Training-free Zero-shot Composed Image Retrieval via Weighted Modality Fusion and Similarity","date":"2024-09-07","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"whats2000/WeiMoCIR","path":"src/data_utils.py","file_url":"https://github.com/whats2000/WeiMoCIR/blob/HEAD/src/data_utils.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"a1580dd1883758f6","mcp_get_code":{"code_sha256":"a1580dd1883758f6"}},{"arxiv_id":"2408.11305","paper":"/paper/unifashion-a-unified-vision-language-model","title":"UniFashion: A Unified Vision-Language Model for Multimodal Fashion Retrieval and Generation","date":"2024-08-21","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"xiangyu-mm/UniFashion","path":"src/data_utils.py","file_url":"https://github.com/xiangyu-mm/UniFashion/blob/HEAD/src/data_utils.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"a1580dd1883758f6","mcp_get_code":{"code_sha256":"a1580dd1883758f6"}},{"arxiv_id":"2404.11317","paper":"/paper/improving-composed-image-retrieval-via","title":"Improving Composed Image Retrieval via Contrastive Learning with Scaling Positives and Negatives","date":"2024-04-17","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"BUAADreamer/SPN4CIR","path":"blip24cir/data_utils.py","file_url":"https://github.com/BUAADreamer/SPN4CIR/blob/HEAD/blip24cir/data_utils.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"a1580dd1883758f6","mcp_get_code":{"code_sha256":"a1580dd1883758f6"}},{"arxiv_id":"2310.05473","paper":"/paper/sentence-level-prompts-benefit-composed-image","title":"Sentence-level Prompts Benefit Composed Image Retrieval","date":"2023-10-09","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"chunmeifeng/sprc","path":"src/data_utils.py","file_url":"https://github.com/chunmeifeng/sprc/blob/HEAD/src/data_utils.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"a1580dd1883758f6","mcp_get_code":{"code_sha256":"a1580dd1883758f6"}},{"arxiv_id":"2308.11485","paper":"/paper/composed-image-retrieval-using-contrastive","title":"Composed Image Retrieval using Contrastive Learning and Task-oriented CLIP-based Features","date":"2023-08-22","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"ABaldrati/CLIP4Cir","path":"src/data_utils.py","file_url":"https://github.com/ABaldrati/CLIP4Cir/blob/HEAD/src/data_utils.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"a1580dd1883758f6","mcp_get_code":{"code_sha256":"a1580dd1883758f6"}},{"arxiv_id":"2305.16304","paper":"/paper/candidate-set-re-ranking-for-composed-image","title":"Candidate Set Re-ranking for Composed Image Retrieval with Dual Multi-modal Encoder","date":"2023-05-25","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"Cuberick-Orion/Candidate-Reranking-CIR","path":"src/data_utils.py","file_url":"https://github.com/Cuberick-Orion/Candidate-Reranking-CIR/blob/HEAD/src/data_utils.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"a1580dd1883758f6","mcp_get_code":{"code_sha256":"a1580dd1883758f6"}},{"arxiv_id":"2025.acl-long.61","paper":null,"title":"arXiv:2025.acl-long.61","date":null,"month_inferred_from_arxiv_id":null,"title_source":null,"repo":"tanghme0w/ACL25-CoPE","path":"util/transforms.py","file_url":"https://github.com/tanghme0w/ACL25-CoPE/blob/HEAD/util/transforms.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"bc06675a6c0dc9d6","mcp_get_code":{"code_sha256":"bc06675a6c0dc9d6"}}]}