{"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/download-and-extract-archive","entry":"download_and_extract_archive","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":0,"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":0,"n_samples_fingerprinted":0,"n_places":5,"n_places_pointer_only":2,"by_status":{"ran_honours":0,"ran_violates":0,"ran_draft_wrong":0,"ran_fixture":0,"ran":0,"unverified":1},"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":"2604.17720","paper":"/paper/arxiv-2604-17720","title":"FlashFPS: Efficient Farthest Point Sampling for Large-Scale Point Clouds via Pruning and Caching","date":null,"month_inferred_from_arxiv_id":"2026-04","title_source":"syntology","repo":"Yuzhe-Fu/FlashFPS","path":"FlashFPS-Openpoints/openpoints/dataset/modelnet/modelnet40_ply_2048_loader.py","file_url":"https://github.com/Yuzhe-Fu/FlashFPS/blob/HEAD/FlashFPS-Openpoints/openpoints/dataset/modelnet/modelnet40_ply_2048_loader.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NOASSERTION","inline_ok":false,"code_sha256_prefix":"b9389712035a81db","mcp_get_code":{"code_sha256":"b9389712035a81db"}},{"arxiv_id":"2404.15010","paper":"/paper/x-3d-explicit-3d-structure-modeling-for-point","title":"X-3D: Explicit 3D Structure Modeling for Point Cloud Recognition","date":"2024-04-23","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"sunshuofeng/X-3D","path":"openpoints/dataset/modelnet/modelnet40_ply_2048_loader.py","file_url":"https://github.com/sunshuofeng/X-3D/blob/HEAD/openpoints/dataset/modelnet/modelnet40_ply_2048_loader.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"b9389712035a81db","mcp_get_code":{"code_sha256":"b9389712035a81db"}},{"arxiv_id":"2403.00762","paper":"/paper/point-could-mamba-point-cloud-learning-via","title":"Point Cloud Mamba: Point Cloud Learning via State Space Model","date":"2024-03-01","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"skyworkai/pointcloudmamba","path":"openpoints/dataset/modelnet/modelnet40_ply_2048_loader.py","file_url":"https://github.com/skyworkai/pointcloudmamba/blob/HEAD/openpoints/dataset/modelnet/modelnet40_ply_2048_loader.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"b9389712035a81db","mcp_get_code":{"code_sha256":"b9389712035a81db"}},{"arxiv_id":"2306.01257","paper":"/paper/collect-and-distribute-transformer-for-3d","title":"Collect-and-Distribute Transformer for 3D Point Cloud Analysis","date":"2023-06-02","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"haibo-qiu/cdformer","path":"util/modelnet40.py","file_url":"https://github.com/haibo-qiu/cdformer/blob/HEAD/util/modelnet40.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"b9389712035a81db","mcp_get_code":{"code_sha256":"b9389712035a81db"}},{"arxiv_id":"2205.10528","paper":"/paper/point-is-a-vector-a-feature-representation-in","title":"PointVector: A Vector Representation In Point Cloud Analysis","date":"2022-05-21","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"guochengqian/openpoints","path":"dataset/modelnet/modelnet40_ply_2048_loader.py","file_url":"https://github.com/guochengqian/openpoints/blob/HEAD/dataset/modelnet/modelnet40_ply_2048_loader.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"b9389712035a81db","mcp_get_code":{"code_sha256":"b9389712035a81db"}}]}