{"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/register-norm-module","entry":"register_norm_module","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":"2311.00571","paper":"/paper/llava-interactive-an-all-in-one-demo-for","title":"LLaVA-Interactive: An All-in-One Demo for Image Chat, Segmentation, Generation and Editing","date":"2023-11-01","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"ux-decoder/segment-everything-everywhere-all-at-once","path":"utils/model.py","file_url":"https://github.com/ux-decoder/segment-everything-everywhere-all-at-once/blob/HEAD/utils/model.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":"e4f6733fa1ab1999","mcp_get_code":{"code_sha256":"e4f6733fa1ab1999"}},{"arxiv_id":"2310.03923","paper":"/paper/open-fusion-real-time-open-vocabulary-3d","title":"Open-Fusion: Real-time Open-Vocabulary 3D Mapping and Queryable Scene Representation","date":"2023-10-05","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"UARK-AICV/OpenFusion","path":"openfusion/zoo/xdecoder_seem/utils/model.py","file_url":"https://github.com/UARK-AICV/OpenFusion/blob/HEAD/openfusion/zoo/xdecoder_seem/utils/model.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"e4f6733fa1ab1999","mcp_get_code":{"code_sha256":"e4f6733fa1ab1999"}},{"arxiv_id":"2306.09347","paper":"/paper/segment-any-point-cloud-sequences-by","title":"Segment Any Point Cloud Sequences by Distilling Vision Foundation Models","date":"2023-06-15","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"microsoft/X-Decoder","path":"utils/model.py","file_url":"https://github.com/microsoft/X-Decoder/blob/HEAD/utils/model.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":"e4f6733fa1ab1999","mcp_get_code":{"code_sha256":"e4f6733fa1ab1999"}},{"arxiv_id":"2305.10355","paper":"/paper/evaluating-object-hallucination-in-large","title":"Evaluating Object Hallucination in Large Vision-Language Models","date":"2023-05-17","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"rucaibox/pope","path":"seem/utils/model.py","file_url":"https://github.com/rucaibox/pope/blob/HEAD/seem/utils/model.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"e4f6733fa1ab1999","mcp_get_code":{"code_sha256":"e4f6733fa1ab1999"}},{"arxiv_id":"2025.emnlp-main.534","paper":null,"title":"arXiv:2025.emnlp-main.534","date":null,"month_inferred_from_arxiv_id":null,"title_source":null,"repo":"RUCAIBox/POPE","path":"seem/utils/model.py","file_url":"https://github.com/RUCAIBox/POPE/blob/HEAD/seem/utils/model.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"e4f6733fa1ab1999","mcp_get_code":{"code_sha256":"e4f6733fa1ab1999"}}]}