{"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/kl-sep","entry":"KL_sep","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":1,"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":2,"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":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":"2602.03371","paper":"/paper/arxiv-2602-03371","title":"Multi-Resolution Alignment for Voxel Sparsity in Camera-Based 3D Semantic Scene Completion","date":null,"month_inferred_from_arxiv_id":"2026-02","title_source":"syntology","repo":"PKU-ICST-MIPL/MRA","path":"projects/mmdet3d_plugin/mra/utils/ssc_loss.py","file_url":"https://github.com/PKU-ICST-MIPL/MRA/blob/HEAD/projects/mmdet3d_plugin/mra/utils/ssc_loss.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"033da7a511cc1166","mcp_get_code":{"code_sha256":"033da7a511cc1166"}},{"arxiv_id":"2407.11730","paper":"/paper/monocular-occupancy-prediction-for-scalable","title":"Monocular Occupancy Prediction for Scalable Indoor Scenes","date":"2024-07-16","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"hongxiaoy/ISO","path":"iso/loss/ssc_loss.py","file_url":"https://github.com/hongxiaoy/ISO/blob/HEAD/iso/loss/ssc_loss.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"code_sha256_prefix":"033da7a511cc1166","mcp_get_code":{"code_sha256":"033da7a511cc1166"}},{"arxiv_id":"2403.08885","paper":"/paper/slcf-net-sequential-lidar-camera-fusion-for","title":"SLCF-Net: Sequential LiDAR-Camera Fusion for Semantic Scene Completion using a 3D Recurrent U-Net","date":"2024-03-13","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"helincao618/SLCF-Net","path":"slcfnet/loss/ssc_loss.py","file_url":"https://github.com/helincao618/SLCF-Net/blob/HEAD/slcfnet/loss/ssc_loss.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"033da7a511cc1166","mcp_get_code":{"code_sha256":"033da7a511cc1166"}},{"arxiv_id":"2312.05752","paper":"/paper/camera-based-3d-semantic-scene-completion","title":"Camera-based 3D Semantic Scene Completion with Sparse Guidance Network","date":"2023-12-10","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"jieqianyu/sgn","path":"projects/mmdet3d_plugin/sgn/utils/ssc_loss.py","file_url":"https://github.com/jieqianyu/sgn/blob/HEAD/projects/mmdet3d_plugin/sgn/utils/ssc_loss.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"033da7a511cc1166","mcp_get_code":{"code_sha256":"033da7a511cc1166"}},{"arxiv_id":"2309.14616","paper":"/paper/ndc-scene-boost-monocular-3d-semantic-scene","title":"NDC-Scene: Boost Monocular 3D Semantic Scene Completion in Normalized Device Coordinates Space","date":"2023-09-26","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"Jiawei-Yao0812/NDCScene","path":"ndcscene/loss/ssc_loss.py","file_url":"https://github.com/Jiawei-Yao0812/NDCScene/blob/HEAD/ndcscene/loss/ssc_loss.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"4aacd1874626b3a6","mcp_get_code":{"code_sha256":"4aacd1874626b3a6"}},{"arxiv_id":"2305.16133","paper":"/paper/ovo-open-vocabulary-occupancy","title":"OVO: Open-Vocabulary Occupancy","date":"2023-05-25","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"dzcgaara/OVO","path":"ovo/loss/ssc_loss.py","file_url":"https://github.com/dzcgaara/OVO/blob/HEAD/ovo/loss/ssc_loss.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"code_sha256_prefix":"033da7a511cc1166","mcp_get_code":{"code_sha256":"033da7a511cc1166"}},{"arxiv_id":"2302.13540","paper":"/paper/occdepth-a-depth-aware-method-for-3d-semantic","title":"OccDepth: A Depth-Aware Method for 3D Semantic Scene Completion","date":"2023-02-27","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"megvii-research/occdepth","path":"occdepth/loss/ssc_loss.py","file_url":"https://github.com/megvii-research/occdepth/blob/HEAD/occdepth/loss/ssc_loss.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"code_sha256_prefix":"033da7a511cc1166","mcp_get_code":{"code_sha256":"033da7a511cc1166"}},{"arxiv_id":"2112.00726","paper":"/paper/monoscene-monocular-3d-semantic-scene","title":"MonoScene: Monocular 3D Semantic Scene Completion","date":"2021-12-01","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"astra-vision/monoscene","path":"monoscene/loss/ssc_loss.py","file_url":"https://github.com/astra-vision/monoscene/blob/HEAD/monoscene/loss/ssc_loss.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"code_sha256_prefix":"033da7a511cc1166","mcp_get_code":{"code_sha256":"033da7a511cc1166"}}]}