{"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/represents-int","entry":"represents_int","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":8,"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":3,"n_samples_fingerprinted":0,"n_places":8,"n_places_pointer_only":2,"by_status":{"ran_honours":0,"ran_violates":0,"ran_draft_wrong":0,"ran_fixture":0,"ran":3,"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":"2407.06084","paper":"/paper/3d-vision-and-language-pretraining-with-large","title":"3D Vision and Language Pretraining with Large-Scale Synthetic Data","date":"2024-07-08","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"idejie/3DSyn","path":"scannet/scannet_utils.py","file_url":"https://github.com/idejie/3DSyn/blob/HEAD/scannet/scannet_utils.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"2857904cc41e5290","mcp_get_code":{"code_sha256":"2857904cc41e5290"}},{"arxiv_id":"2406.02548","paper":"/paper/open-yolo-3d-towards-fast-and-accurate-open","title":"Open-YOLO 3D: Towards Fast and Accurate Open-Vocabulary 3D Instance Segmentation","date":"2024-06-04","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"aminebdj/openyolo3d","path":"evaluate/scannet200/util.py","file_url":"https://github.com/aminebdj/openyolo3d/blob/HEAD/evaluate/scannet200/util.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"945af43d6054ff01","mcp_get_code":{"code_sha256":"945af43d6054ff01"}},{"arxiv_id":"2403.04198","paper":"/paper/cn-rma-combined-network-with-ray-marching","title":"CN-RMA: Combined Network with Ray Marching Aggregation for 3D Indoors Object Detection from Multi-view Images","date":"2024-03-07","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"sercharles/cn-rma","path":"data_prepare/scannet/scannet_utils.py","file_url":"https://github.com/sercharles/cn-rma/blob/HEAD/data_prepare/scannet/scannet_utils.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NOASSERTION","inline_ok":false,"code_sha256_prefix":"0014837fad65922f","mcp_get_code":{"code_sha256":"0014837fad65922f"}},{"arxiv_id":"2311.17707","paper":"/paper/sampro3d-locating-sam-prompts-in-3d-for-zero","title":"SAMPro3D: Locating SAM Prompts in 3D for Zero-Shot Scene Segmentation","date":"2023-11-29","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"GAP-LAB-CUHK-SZ/SAMPro3D","path":"dataset_preprocess/preprocess_2d_scannet.py","file_url":"https://github.com/GAP-LAB-CUHK-SZ/SAMPro3D/blob/HEAD/dataset_preprocess/preprocess_2d_scannet.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":"945af43d6054ff01","mcp_get_code":{"code_sha256":"945af43d6054ff01"}},{"arxiv_id":"2311.16054","paper":"/paper/metric-space-magnitude-for-evaluating","title":"Metric Space Magnitude for Evaluating the Diversity of Latent Representations","date":"2023-11-27","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"GuyTevet/diversity-eval","path":"utils.py","file_url":"https://github.com/GuyTevet/diversity-eval/blob/HEAD/utils.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"945af43d6054ff01","mcp_get_code":{"code_sha256":"945af43d6054ff01"}},{"arxiv_id":"2306.03908","paper":"/paper/sam3d-segment-anything-in-3d-scenes","title":"SAM3D: Segment Anything in 3D Scenes","date":"2023-06-06","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"pointcept/segmentanything3d","path":"scannet-preprocess/prepare_2d_data/util.py","file_url":"https://github.com/pointcept/segmentanything3d/blob/HEAD/scannet-preprocess/prepare_2d_data/util.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"945af43d6054ff01","mcp_get_code":{"code_sha256":"945af43d6054ff01"}},{"arxiv_id":"1906.01140","paper":"/paper/learning-object-bounding-boxes-for-3d","title":"Learning Object Bounding Boxes for 3D Instance Segmentation on Point Clouds","date":"2019-06-04","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"Yang7879/3D-BoNet","path":"helper_data_scannet_prepare.py","file_url":"https://github.com/Yang7879/3D-BoNet/blob/HEAD/helper_data_scannet_prepare.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"945af43d6054ff01","mcp_get_code":{"code_sha256":"945af43d6054ff01"}},{"arxiv_id":"aaai_16558","paper":null,"title":"arXiv:aaai_16558","date":null,"month_inferred_from_arxiv_id":null,"title_source":null,"repo":"DS3Lab/DocParser","path":"docparser/utils/data_utils.py","file_url":"https://github.com/DS3Lab/DocParser/blob/HEAD/docparser/utils/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":"945af43d6054ff01","mcp_get_code":{"code_sha256":"945af43d6054ff01"}}]}