{"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/pos2posemb3d","entry":"pos2posemb3d","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":7,"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":2,"n_samples_fingerprinted":2,"n_places":7,"n_places_pointer_only":3,"by_status":{"ran_honours":0,"ran_violates":0,"ran_draft_wrong":1,"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":"2401.17609","paper":"/paper/lanegraph2seq-lane-topology-extraction-with","title":"LaneGraph2Seq: Lane Topology Extraction with Language Model via Vertex-Edge Encoding and Connectivity Enhancement","date":"2024-01-31","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"fudan-zvg/RoadNet","path":"RoadNetwork-2.0.1/rntr/ar_lanegraph2seq_head.py","file_url":"https://github.com/fudan-zvg/RoadNet/blob/HEAD/RoadNetwork-2.0.1/rntr/ar_lanegraph2seq_head.py","status":"ran_draft_wrong","verification_level":1,"contract_check":"MISDECLARED","metamorphic_tier":"invariant","behaviour_fingerprint":true,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"718ca707584a0928","mcp_get_code":{"code_sha256":"718ca707584a0928"}},{"arxiv_id":"2309.04379","paper":"/paper/language-prompt-for-autonomous-driving","title":"Language Prompt for Autonomous Driving","date":"2023-09-08","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":null,"path":"","file_url":null,"status":"ran_draft_wrong","verification_level":1,"contract_check":"MISDECLARED","metamorphic_tier":"invariant","behaviour_fingerprint":true,"licence":null,"inline_ok":false,"code_sha256_prefix":"718ca707584a0928","mcp_get_code":{"code_sha256":"718ca707584a0928"}},{"arxiv_id":"2308.04583","paper":"/paper/latr-3d-lane-detection-from-monocular-images","title":"LATR: 3D Lane Detection from Monocular Images with Transformer","date":"2023-08-08","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"JMoonr/LATR","path":"models/transformer_bricks.py","file_url":"https://github.com/JMoonr/LATR/blob/HEAD/models/transformer_bricks.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":true,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"615e86e6f80e97ba","mcp_get_code":{"code_sha256":"615e86e6f80e97ba"}},{"arxiv_id":"2304.01054","paper":"/paper/voxelformer-bird-s-eye-view-feature","title":"VoxelFormer: Bird's-Eye-View Feature Generation based on Dual-view Attention for Multi-view 3D Object Detection","date":"2023-04-03","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"lizhuoling/voxelformer-public","path":"projects/mmdet3d_plugin/models/dense_heads/voxelformer_head.py","file_url":"https://github.com/lizhuoling/voxelformer-public/blob/HEAD/projects/mmdet3d_plugin/models/dense_heads/voxelformer_head.py","status":"ran_draft_wrong","verification_level":1,"contract_check":"MISDECLARED","metamorphic_tier":"invariant","behaviour_fingerprint":true,"licence":"Apache-2.0","inline_ok":true,"code_sha256_prefix":"718ca707584a0928","mcp_get_code":{"code_sha256":"718ca707584a0928"}},{"arxiv_id":"2207.13080","paper":"/paper/detrs-with-hybrid-matching","title":"DETRs with Hybrid Matching","date":"2022-07-26","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"HDETR/H-PETR-3D","path":"projects/mmdet3d_plugin/models/dense_heads/hybrid_petrv2_head.py","file_url":"https://github.com/HDETR/H-PETR-3D/blob/HEAD/projects/mmdet3d_plugin/models/dense_heads/hybrid_petrv2_head.py","status":"ran_draft_wrong","verification_level":1,"contract_check":"MISDECLARED","metamorphic_tier":"invariant","behaviour_fingerprint":true,"licence":"NOASSERTION","inline_ok":false,"code_sha256_prefix":"718ca707584a0928","mcp_get_code":{"code_sha256":"718ca707584a0928"}},{"arxiv_id":"2206.01256","paper":"/paper/petrv2-a-unified-framework-for-3d-perception","title":"PETRv2: A Unified Framework for 3D Perception from Multi-Camera Images","date":"2022-06-02","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":null,"path":"","file_url":null,"status":"ran_draft_wrong","verification_level":1,"contract_check":"MISDECLARED","metamorphic_tier":"invariant","behaviour_fingerprint":true,"licence":null,"inline_ok":false,"code_sha256_prefix":"718ca707584a0928","mcp_get_code":{"code_sha256":"718ca707584a0928"}},{"arxiv_id":"Pu_MonoDGP_Monocular_3D_Object_Detection_with_Decoupled-Query_and_Geometry-Error_Priors_CVPR_2025_paper","paper":null,"title":"arXiv:Pu_MonoDGP_Monocular_3D_Object_Detection_with_Decoupled-Query_and_Geometry-Error_Priors_CVPR_2025_paper","date":null,"month_inferred_from_arxiv_id":null,"title_source":null,"repo":"PuFanqi23/MonoDGP","path":"lib/models/monodgp/position_encoding.py","file_url":"https://github.com/PuFanqi23/MonoDGP/blob/HEAD/lib/models/monodgp/position_encoding.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"8ab05b1c15fd980a","mcp_get_code":{"code_sha256":"8ab05b1c15fd980a"}}]}