{"as_of":"2026-08-07T22:37:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:de5f5ea2413215db2a8348792fdd4d0e781b5c30554cf180e055007385b9303d","coverage":[{"denominator":61,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":61,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T21:42:22.405887Z","state":"measured"},{"denominator":61,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":61,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2506.23565/citation-record","integrity":"/paper/2506.23565/integrity","json":"/paper/2506.23565/citation-record.json","paper":"/paper/2506.23565"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:42:31.198330Z","title":"nuscenes: A multi- modal dataset for autonomous driving","venue":null,"work_id":"07a2983b-d619-45c6-b084-2868a1f5b0d9","year":2020},"citing_paper":{"arxiv_id":"2506.23565","last_updated":"2025-06-30T07:18:17Z","snapshot_observed_at":"2026-08-06T21:35:40.325751Z","submitted_at":"2025-06-30T07:18:17Z","title":"OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T21:42:16.372229Z"},"links":{"citing_paper":"/paper/2506.23565"},"observation_digest":"sha256:08e2ca6136e92d88ddc4d6d6a49ee1d1c78f97de6ee5d718e14296c95e523aa0","observation_id":"ef9ac778-a123-4faa-98f9-4e12a376c109","resolution":{"observed_at":"2026-08-06T21:42:31.309757Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:42:30.990992Z","title":"Objectfusion: Multi-modal 3d object detection with object-centric fusion","venue":null,"work_id":"a6484696-5640-4f90-a6f1-8caef714ef8b","year":2023},"citing_paper":{"arxiv_id":"2506.23565","last_updated":"2025-06-30T07:18:17Z","snapshot_observed_at":"2026-08-06T21:35:40.325751Z","submitted_at":"2025-06-30T07:18:17Z","title":"OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T21:42:16.567732Z"},"links":{"citing_paper":"/paper/2506.23565"},"observation_digest":"sha256:cb8293cdef86ecb68e012ab98df3386c8001d47ead4ff3dfd6f0062aaf6873b7","observation_id":"e45435f8-be1c-489c-aa0c-2e394b919008","resolution":{"observed_at":"2026-08-06T21:42:31.103980Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.14108","last_updated":"2024-12-04T16:43:00Z","snapshot_observed_at":"2026-07-06T18:48:53.833921Z","submitted_at":"2024-07-19T08:24:36Z","title":"GaussianBeV: 3D Gaussian Representation meets Perception Models for BeV Segmentation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.14108","snapshot_observed_at":"2026-08-06T21:42:16.798729Z","title":"Gaussianbev: 3d gaussian representation meets percep- tion models for bev segmentation","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.23565","last_updated":"2025-06-30T07:18:17Z","snapshot_observed_at":"2026-08-06T21:35:40.325751Z","submitted_at":"2025-06-30T07:18:17Z","title":"OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-06T21:42:16.798729Z"},"links":{"cited_paper":"/paper/2407.14108","citing_paper":"/paper/2506.23565"},"observation_digest":"sha256:8de53f83b10f213f0a3dd9e7ac6f4dbec32577bfccce306a59e14e0084a110be","observation_id":"3b91fb9a-7d1d-4814-ba3b-5ba9ddd73b4e","resolution":{"observed_at":"2026-08-06T21:42:16.798729Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:42:30.760165Z","title":"Recurrentbev: a long-term temporal fusion framework for multi-view 3d detection","venue":null,"work_id":"21b504b4-b70d-49c1-b1b8-9a41de189ad9","year":2024},"citing_paper":{"arxiv_id":"2506.23565","last_updated":"2025-06-30T07:18:17Z","snapshot_observed_at":"2026-08-06T21:35:40.325751Z","submitted_at":"2025-06-30T07:18:17Z","title":"OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T21:42:16.978004Z"},"links":{"citing_paper":"/paper/2506.23565"},"observation_digest":"sha256:787e74a3bc5fbe59e9b7ef3e7cef65b72ab87ed9e50aeda3f9d1ffa570984ce4","observation_id":"a75f72dd-6b73-4f17-886f-76cdd35559f4","resolution":{"observed_at":"2026-08-06T21:42:30.883620Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:42:30.458100Z","title":"Learning high- resolution vector representation from multi-camera images for 3d object detection","venue":null,"work_id":"8165185d-e134-4a4d-9b4a-845bf65bb2d4","year":2024},"citing_paper":{"arxiv_id":"2506.23565","last_updated":"2025-06-30T07:18:17Z","snapshot_observed_at":"2026-08-06T21:35:40.325751Z","submitted_at":"2025-06-30T07:18:17Z","title":"OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T21:42:17.175799Z"},"links":{"citing_paper":"/paper/2506.23565"},"observation_digest":"sha256:9228ae4c357874177aaf01a9e1b942059dc292e6f67ad31bf9847d4973caafb9","observation_id":"4ba0039d-456a-49c7-945e-c6ac53eec03e","resolution":{"observed_at":"2026-08-06T21:42:30.617398Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:42:30.285645Z","title":"Bev-san: Accurate bev 3d object detection via slice attention networks","venue":null,"work_id":"2eca61f8-9865-48a0-b2e4-fc3fc66949be","year":2023},"citing_paper":{"arxiv_id":"2506.23565","last_updated":"2025-06-30T07:18:17Z","snapshot_observed_at":"2026-08-06T21:35:40.325751Z","submitted_at":"2025-06-30T07:18:17Z","title":"OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-06T21:42:17.266703Z"},"links":{"citing_paper":"/paper/2506.23565"},"observation_digest":"sha256:7784518247898e53fc2ab43c827fb229f8c5483ccee32dd80afa1556743aa973","observation_id":"43e4343c-e52e-4cce-80c4-3d5c56ae5edf","resolution":{"observed_at":"2026-08-06T21:42:30.361724Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:42:30.082135Z","title":"Depth-regularized optimization for 3d gaussian splatting in few-shot images","venue":null,"work_id":"948fa821-c340-433f-867c-ae5306aa0976","year":2024},"citing_paper":{"arxiv_id":"2506.23565","last_updated":"2025-06-30T07:18:17Z","snapshot_observed_at":"2026-08-06T21:35:40.325751Z","submitted_at":"2025-06-30T07:18:17Z","title":"OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T21:42:17.339236Z"},"links":{"citing_paper":"/paper/2506.23565"},"observation_digest":"sha256:5ed16c77e447dddc2ea361ca54f85cccdc4a782c876bc939f940a6fc62dcd671","observation_id":"8ebcd6af-def0-4094-825b-043c055b181d","resolution":{"observed_at":"2026-08-06T21:42:30.176319Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:42:29.816222Z","title":"MMDetection3D: Open- MMLab next-generation platform for general 3D object detection","venue":null,"work_id":"3bffbc76-a49a-42d5-bfff-784670ac7707","year":2020},"citing_paper":{"arxiv_id":"2506.23565","last_updated":"2025-06-30T07:18:17Z","snapshot_observed_at":"2026-08-06T21:35:40.325751Z","submitted_at":"2025-06-30T07:18:17Z","title":"OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T21:42:17.482746Z"},"links":{"citing_paper":"/paper/2506.23565"},"observation_digest":"sha256:2999e12877ef850c3920b2856488100d8ce602d8840e6d37f8782d815ff38897","observation_id":"d1cc05be-263f-4efa-a2e8-081ca7ddc4da","resolution":{"observed_at":"2026-08-06T21:42:29.967910Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:42:29.554281Z","title":"Exploring recurrent long-term temporal fusion for multi-view 3d perception","venue":null,"work_id":"6634b990-f498-4339-ae5a-776e1aecfd14","year":2024},"citing_paper":{"arxiv_id":"2506.23565","last_updated":"2025-06-30T07:18:17Z","snapshot_observed_at":"2026-08-06T21:35:40.325751Z","submitted_at":"2025-06-30T07:18:17Z","title":"OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T21:42:17.617022Z"},"links":{"citing_paper":"/paper/2506.23565"},"observation_digest":"sha256:5f4012bc51838431180e2c759b6311edd6ada66d2f30c9a9a668bd3260086fbc","observation_id":"215c8d3a-eeae-44dd-85ea-464a3296e298","resolution":{"observed_at":"2026-08-06T21:42:29.648707Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:42:17.713837Z","title":"Deep residual learning for image recognition","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.23565","last_updated":"2025-06-30T07:18:17Z","snapshot_observed_at":"2026-08-06T21:35:40.325751Z","submitted_at":"2025-06-30T07:18:17Z","title":"OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T21:42:17.713837Z"},"links":{"citing_paper":"/paper/2506.23565"},"observation_digest":"sha256:70c09f96c48eb69847f1cbb52c42cccd0c513f81cbadadf0bd870bbdbb8e9473","observation_id":"8194c629-16ed-4c4e-95b1-38487f63c181","resolution":{"observed_at":"2026-08-06T21:42:17.713837Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:42:29.365077Z","title":"Open: Object-wise position embedding for multi-view 3d object de- tection","venue":null,"work_id":"74c2a112-3617-4c75-90b8-c924c9d6fde1","year":2024},"citing_paper":{"arxiv_id":"2506.23565","last_updated":"2025-06-30T07:18:17Z","snapshot_observed_at":"2026-08-06T21:35:40.325751Z","submitted_at":"2025-06-30T07:18:17Z","title":"OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T21:42:17.769188Z"},"links":{"citing_paper":"/paper/2506.23565"},"observation_digest":"sha256:426ddcd28f1bb692ea87dc20bc31ac0875f45732b3ab0a0eae2e44b72268b00d","observation_id":"e23f9bad-b09e-4275-a2bc-b6fcd58569f4","resolution":{"observed_at":"2026-08-06T21:42:29.447637Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2203.17054","last_updated":"2022-06-16T09:44:08Z","snapshot_observed_at":"2026-07-06T12:55:16.868412Z","submitted_at":"2022-03-31T14:21:19Z","title":"BEVDet4D: Exploit Temporal Cues in Multi-camera 3D Object Detection","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2203.17054","snapshot_observed_at":"2026-08-06T21:42:17.901920Z","title":"Bevdet4d: Exploit tempo- ral cues in multi-camera 3d object detection","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.23565","last_updated":"2025-06-30T07:18:17Z","snapshot_observed_at":"2026-08-06T21:35:40.325751Z","submitted_at":"2025-06-30T07:18:17Z","title":"OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-06T21:42:17.901920Z"},"links":{"cited_paper":"/paper/2203.17054","citing_paper":"/paper/2506.23565"},"observation_digest":"sha256:322165854791508bd7c98771e4e7a8211c20d1fc084c9d7fcecfff63131a9eed","observation_id":"ebcf1f09-43aa-4a9b-a37e-a50f4285e233","resolution":{"observed_at":"2026-08-06T21:42:17.901920Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2112.11790","last_updated":"2022-06-16T09:15:52Z","snapshot_observed_at":"2026-07-06T12:21:28.059661Z","submitted_at":"2021-12-22T10:48:06Z","title":"BEVDet: High-performance Multi-camera 3D Object Detection in Bird-Eye-View","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2112.11790","snapshot_observed_at":"2026-08-06T21:42:18.100409Z","title":"Bevdet: High-performance multi-camera 3d object de- tection in bird-eye-view","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.23565","last_updated":"2025-06-30T07:18:17Z","snapshot_observed_at":"2026-08-06T21:35:40.325751Z","submitted_at":"2025-06-30T07:18:17Z","title":"OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-06T21:42:18.100409Z"},"links":{"cited_paper":"/paper/2112.11790","citing_paper":"/paper/2506.23565"},"observation_digest":"sha256:da9f413ab2d8866130056912f69f023ad4212bfc8aecf45a715028493d4a13ba","observation_id":"0d800903-feea-4e21-b852-7d25691d9135","resolution":{"observed_at":"2026-08-06T21:42:18.100409Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.17429","last_updated":"2024-05-27T17:59:51Z","snapshot_observed_at":"2026-08-07T00:24:39.148285Z","submitted_at":"2024-05-27T17:59:51Z","title":"GaussianFormer: Scene as Gaussians for Vision-Based 3D Semantic Occupancy Prediction","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.17429","snapshot_observed_at":"2026-08-06T21:42:18.214716Z","title":"Gaussianformer: Scene as gaussians for vision-based 3d semantic occupancy prediction","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.23565","last_updated":"2025-06-30T07:18:17Z","snapshot_observed_at":"2026-08-06T21:35:40.325751Z","submitted_at":"2025-06-30T07:18:17Z","title":"OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T21:42:18.214716Z"},"links":{"cited_paper":"/paper/2405.17429","citing_paper":"/paper/2506.23565"},"observation_digest":"sha256:4b5cbb31de284a8f2664b3e804d641da4ba0015932da7fffbefad9cf6caf5b7b","observation_id":"b12039ea-271a-4596-9268-b6542e9b11e7","resolution":{"observed_at":"2026-08-06T21:42:18.214716Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:42:29.154684Z","title":"Enhanc- ing 3d object detection with 2d detection-guided query an- chors","venue":null,"work_id":"1b1a1831-4f6e-40b7-bedb-f508966b2901","year":2024},"citing_paper":{"arxiv_id":"2506.23565","last_updated":"2025-06-30T07:18:17Z","snapshot_observed_at":"2026-08-06T21:35:40.325751Z","submitted_at":"2025-06-30T07:18:17Z","title":"OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-06T21:42:18.342393Z"},"links":{"citing_paper":"/paper/2506.23565"},"observation_digest":"sha256:b38e64b1cf82ab9e537f9d902ff46078ecbfb33e7b0daff7d1301b5e14f205bc","observation_id":"69697de3-9055-4582-a38c-67d4cdcfc8df","resolution":{"observed_at":"2026-08-06T21:42:29.271625Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:42:28.942752Z","title":"3d gaussian splatting for real-time radiance field rendering","venue":null,"work_id":"54218a3f-13a1-4071-bd34-c9cdc3e79b78","year":2023},"citing_paper":{"arxiv_id":"2506.23565","last_updated":"2025-06-30T07:18:17Z","snapshot_observed_at":"2026-08-06T21:35:40.325751Z","submitted_at":"2025-06-30T07:18:17Z","title":"OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-06T21:42:18.427077Z"},"links":{"citing_paper":"/paper/2506.23565"},"observation_digest":"sha256:53bd5dd6b49550334b7d7185109c3122a1656dae210a85648e4fac164d6330bc","observation_id":"990e896e-5211-4388-9742-4f26e47d9d87","resolution":{"observed_at":"2026-08-06T21:42:28.979560Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1412.6980","last_updated":"2017-01-30T01:27:54Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2014-12-22T13:54:29Z","title":"Adam: A Method for Stochastic Optimization","version":9},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1412.6980","snapshot_observed_at":"2026-08-06T21:42:18.541541Z","title":"Adam: A method for stochastic optimization","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.23565","last_updated":"2025-06-30T07:18:17Z","snapshot_observed_at":"2026-08-06T21:35:40.325751Z","submitted_at":"2025-06-30T07:18:17Z","title":"OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-06T21:42:18.541541Z"},"links":{"cited_paper":"/paper/1412.6980","citing_paper":"/paper/2506.23565"},"observation_digest":"sha256:832ba116eb3b168178508e03bec97ab52ef4d354a7afd536607edf45f8bfacd7","observation_id":"d88f0328-1d0a-4c51-b9dd-9bddce29f294","resolution":{"observed_at":"2026-08-06T21:42:18.541541Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:42:28.808521Z","title":"Seabird: Segmentation in bird’s view with dice loss improves monocular 3d detection of large objects","venue":null,"work_id":"6f2faf09-39dc-40be-9b60-c1104b0c831c","year":2024},"citing_paper":{"arxiv_id":"2506.23565","last_updated":"2025-06-30T07:18:17Z","snapshot_observed_at":"2026-08-06T21:35:40.325751Z","submitted_at":"2025-06-30T07:18:17Z","title":"OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-06T21:42:18.633396Z"},"links":{"citing_paper":"/paper/2506.23565"},"observation_digest":"sha256:b095aff7c5dd556c90b882c074a9e794b016a5aae8ac89f90394f191ae1f126b","observation_id":"1f38a273-10b9-46c6-b6b3-46595500f2f3","resolution":{"observed_at":"2026-08-06T21:42:28.867518Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:42:28.647844Z","title":"Delving into the devils of bird’s- eye-view perception: A review, evaluation and recipe","venue":null,"work_id":"1c2abe40-9eb2-42ca-916c-17f6f605ace9","year":2023},"citing_paper":{"arxiv_id":"2506.23565","last_updated":"2025-06-30T07:18:17Z","snapshot_observed_at":"2026-08-06T21:35:40.325751Z","submitted_at":"2025-06-30T07:18:17Z","title":"OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-06T21:42:18.786127Z"},"links":{"citing_paper":"/paper/2506.23565"},"observation_digest":"sha256:cf6437f60d15bbf01c4aee4b6b12c9c7b66c2c44999debea7443a5e59873743d","observation_id":"cc3274cf-eb62-420c-8a32-18d72688fb08","resolution":{"observed_at":"2026-08-06T21:42:28.714550Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:42:28.499519Z","title":"Dualbev: Cnn is all you need in view transformation","venue":null,"work_id":"16042868-5f56-4da8-a02c-cd4bc4c329d6","year":2024},"citing_paper":{"arxiv_id":"2506.23565","last_updated":"2025-06-30T07:18:17Z","snapshot_observed_at":"2026-08-06T21:35:40.325751Z","submitted_at":"2025-06-30T07:18:17Z","title":"OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-06T21:42:18.874779Z"},"links":{"citing_paper":"/paper/2506.23565"},"observation_digest":"sha256:63ae780f33bef86e5cb2c986dc7f4833ec386d7fc4017b81416eb25935ed9f67","observation_id":"e0cc1af4-1211-4541-b338-cca76d9dafb2","resolution":{"observed_at":"2026-08-06T21:42:28.570458Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:42:18.941160Z","title":"Bevstereo: Enhancing depth estimation in multi-view 3d object detection with temporal stereo","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.23565","last_updated":"2025-06-30T07:18:17Z","snapshot_observed_at":"2026-08-06T21:35:40.325751Z","submitted_at":"2025-06-30T07:18:17Z","title":"OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-06T21:42:18.941160Z"},"links":{"citing_paper":"/paper/2506.23565"},"observation_digest":"sha256:90c78096f1f2991a913d827f5bb4b70e6ee0a8f5a4b7da8be2d12254d905c6d3","observation_id":"2f34df03-84c1-4696-b850-b299b686b942","resolution":{"observed_at":"2026-08-06T21:42:18.941160Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:42:28.233418Z","title":"Bevdepth: Acquisition of reliable depth for multi-view 3d object detec- tion","venue":null,"work_id":"50c1443e-201f-4528-93d3-0c4cf091003a","year":2023},"citing_paper":{"arxiv_id":"2506.23565","last_updated":"2025-06-30T07:18:17Z","snapshot_observed_at":"2026-08-06T21:35:40.325751Z","submitted_at":"2025-06-30T07:18:17Z","title":"OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-06T21:42:19.040693Z"},"links":{"citing_paper":"/paper/2506.23565"},"observation_digest":"sha256:55fb82991fc5f81909571a5ae7601f10d2b5b168dff9127fadcebf39d666a3ba","observation_id":"4be97e45-cab0-483f-9eb1-a088f2d28a9a","resolution":{"observed_at":"2026-08-06T21:42:28.316893Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:42:28.084816Z","title":"Bevformer: Learning bird’s-eye-view representation from multi-camera images via spatiotemporal transformers","venue":null,"work_id":"2bfb9938-dafa-4d47-86ef-bbffc3c01a03","year":2022},"citing_paper":{"arxiv_id":"2506.23565","last_updated":"2025-06-30T07:18:17Z","snapshot_observed_at":"2026-08-06T21:35:40.325751Z","submitted_at":"2025-06-30T07:18:17Z","title":"OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-06T21:42:19.128173Z"},"links":{"citing_paper":"/paper/2506.23565"},"observation_digest":"sha256:1b4f672b17295ecad26322ea64c897fd2ef447d98213f3875a4f71a8f2126eb9","observation_id":"8ae8f313-c87e-4c46-bd26-c9ed95f477ea","resolution":{"observed_at":"2026-08-06T21:42:28.166678Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:42:27.950476Z","title":"Fb-bev: Bev representa- tion from forward-backward view transformations","venue":null,"work_id":"aace53b5-95a4-4d4a-9c84-671c2f774ecd","year":null},"citing_paper":{"arxiv_id":"2506.23565","last_updated":"2025-06-30T07:18:17Z","snapshot_observed_at":"2026-08-06T21:35:40.325751Z","submitted_at":"2025-06-30T07:18:17Z","title":"OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-06T21:42:19.201178Z"},"links":{"citing_paper":"/paper/2506.23565"},"observation_digest":"sha256:887924bbc5a9e93f707577c5c708137ba5a74d7ab9317c812db7776ed100710e","observation_id":"eb845926-9ee9-4a1b-8bf2-e64d1c9c690a","resolution":{"observed_at":"2026-08-06T21:42:28.017841Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:42:27.731639Z","title":"Bevnext: Reviving dense bev frameworks for 3d object de- tection","venue":null,"work_id":"cde7220a-a27b-429d-b3c8-0e0e62334eb9","year":2024},"citing_paper":{"arxiv_id":"2506.23565","last_updated":"2025-06-30T07:18:17Z","snapshot_observed_at":"2026-08-06T21:35:40.325751Z","submitted_at":"2025-06-30T07:18:17Z","title":"OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-06T21:42:19.283424Z"},"links":{"citing_paper":"/paper/2506.23565"},"observation_digest":"sha256:86abc035a6853ac6237d50f1d05887fe301cdf0036d02d4c01abd24ccdd65c2b","observation_id":"ad267ae8-ecab-4d96-b211-ce684645bd1f","resolution":{"observed_at":"2026-08-06T21:42:27.848665Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:42:27.487420Z","title":"Feature pyramid networks for object detection","venue":null,"work_id":"6df4fae6-db73-4a5e-87fc-1fdd0df2b942","year":2017},"citing_paper":{"arxiv_id":"2506.23565","last_updated":"2025-06-30T07:18:17Z","snapshot_observed_at":"2026-08-06T21:35:40.325751Z","submitted_at":"2025-06-30T07:18:17Z","title":"OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-06T21:42:19.356515Z"},"links":{"citing_paper":"/paper/2506.23565"},"observation_digest":"sha256:a58ee01ed3a36e3acd582e954d4f2bab164094d6959b6cc38bf8e8e75b89d4ba","observation_id":"87a47adb-4c9f-4574-b04c-ba3b159b1abc","resolution":{"observed_at":"2026-08-06T21:42:27.580513Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2211.10581","last_updated":"2023-02-10T05:47:05Z","snapshot_observed_at":"2026-08-04T03:55:53.443868Z","submitted_at":"2022-11-19T04:20:57Z","title":"Sparse4D: Multi-view 3D Object Detection with Sparse Spatial-Temporal Fusion","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2211.10581","snapshot_observed_at":"2026-08-06T21:42:19.453913Z","title":"Sparse4d: Multi-view 3d object detec- tion with sparse spatial-temporal fusion","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.23565","last_updated":"2025-06-30T07:18:17Z","snapshot_observed_at":"2026-08-06T21:35:40.325751Z","submitted_at":"2025-06-30T07:18:17Z","title":"OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-06T21:42:19.453913Z"},"links":{"cited_paper":"/paper/2211.10581","citing_paper":"/paper/2506.23565"},"observation_digest":"sha256:b12d02ca48b9c416f1e91fcab80c0af184a73b1c2bfffb12fca9fc9a78e3d2ae","observation_id":"aafc012a-6c9c-42ac-b814-6b89b1e1edb5","resolution":{"observed_at":"2026-08-06T21:42:19.453913Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:42:27.316045Z","title":"Ray denoising: Depth-aware hard negative sampling for multi- view 3d object detection","venue":null,"work_id":"ebdab2fd-158f-4302-b1a7-2811ab849086","year":2024},"citing_paper":{"arxiv_id":"2506.23565","last_updated":"2025-06-30T07:18:17Z","snapshot_observed_at":"2026-08-06T21:35:40.325751Z","submitted_at":"2025-06-30T07:18:17Z","title":"OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-06T21:42:19.511685Z"},"links":{"citing_paper":"/paper/2506.23565"},"observation_digest":"sha256:e274980cfa867049b99295472a984e4704ccf23b52e7102a26ec160c1196b339","observation_id":"92e39488-9dc0-4028-bf06-4bc7ad95cdeb","resolution":{"observed_at":"2026-08-06T21:42:27.396411Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:42:27.142567Z","title":"Sparsebev: High-performance sparse 3d object detec- tion from multi-camera videos","venue":null,"work_id":"b03050a1-1d91-4c43-adfb-79941a29a144","year":2023},"citing_paper":{"arxiv_id":"2506.23565","last_updated":"2025-06-30T07:18:17Z","snapshot_observed_at":"2026-08-06T21:35:40.325751Z","submitted_at":"2025-06-30T07:18:17Z","title":"OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-06T21:42:19.598840Z"},"links":{"citing_paper":"/paper/2506.23565"},"observation_digest":"sha256:a214e523de4d23b2bff6c64d4c1d982903bff75c51c733e10642c6a36b5f8efe","observation_id":"4ad182da-0881-4e97-be7a-0cb0e1357658","resolution":{"observed_at":"2026-08-06T21:42:27.250642Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:42:26.903863Z","title":"Fast generalizable gaussian splatting reconstruction from multi-view stereo","venue":null,"work_id":"6d8ba4cb-6c74-460b-a6ea-3ed35e31d4e4","year":2024},"citing_paper":{"arxiv_id":"2506.23565","last_updated":"2025-06-30T07:18:17Z","snapshot_observed_at":"2026-08-06T21:35:40.325751Z","submitted_at":"2025-06-30T07:18:17Z","title":"OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-06T21:42:19.671080Z"},"links":{"citing_paper":"/paper/2506.23565"},"observation_digest":"sha256:c437dae831bef9b1b92d30a195db8a03d82801eddf0bc41112486c0e65380339","observation_id":"cce754cb-d2c5-42f9-afb3-f7b6ba211046","resolution":{"observed_at":"2026-08-06T21:42:27.034052Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:42:26.748279Z","title":"Multi-view atten- tive contextualization for multi-view 3d object detection","venue":null,"work_id":"b1552e5f-c14f-44c8-b7da-864962364d5d","year":2024},"citing_paper":{"arxiv_id":"2506.23565","last_updated":"2025-06-30T07:18:17Z","snapshot_observed_at":"2026-08-06T21:35:40.325751Z","submitted_at":"2025-06-30T07:18:17Z","title":"OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-06T21:42:19.754325Z"},"links":{"citing_paper":"/paper/2506.23565"},"observation_digest":"sha256:a420b8585d0115c648c4a1d13faa4bc1963de9b9e7a93834648439b93b823fba","observation_id":"6c112ef4-e058-4455-b046-398975b287c4","resolution":{"observed_at":"2026-08-06T21:42:26.803453Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:42:26.676003Z","title":"Swin transformer: Hierarchical vision transformer using shifted windows","venue":null,"work_id":"37cdd779-d9ac-4684-bca1-e562e9b46bac","year":2021},"citing_paper":{"arxiv_id":"2506.23565","last_updated":"2025-06-30T07:18:17Z","snapshot_observed_at":"2026-08-06T21:35:40.325751Z","submitted_at":"2025-06-30T07:18:17Z","title":"OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-06T21:42:19.827224Z"},"links":{"citing_paper":"/paper/2506.23565"},"observation_digest":"sha256:5830c8208da49c1813dc018cf9e8185c99aa7c688d8107566dfed8c85387e9a4","observation_id":"ef4497fc-b8de-4709-b7fb-d57420abfd84","resolution":{"observed_at":"2026-08-06T21:42:26.704276Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:42:26.659417Z","title":"A convnet for the 2020s","venue":null,"work_id":"61dc36f5-b95b-40dc-a3f3-35b03c2222ee","year":2022},"citing_paper":{"arxiv_id":"2506.23565","last_updated":"2025-06-30T07:18:17Z","snapshot_observed_at":"2026-08-06T21:35:40.325751Z","submitted_at":"2025-06-30T07:18:17Z","title":"OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-06T21:42:19.880959Z"},"links":{"citing_paper":"/paper/2506.23565"},"observation_digest":"sha256:49f840fd18e8b311cafb762e3512112df49eb591311ad09bd4b13156ff6514cd","observation_id":"5d7753c3-0fda-4ac0-88ec-87c07fc54514","resolution":{"observed_at":"2026-08-06T21:42:26.666382Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:42:26.650809Z","title":"Nerf in the wild: Neural radiance fields for uncon- strained photo collections","venue":null,"work_id":"966b9147-0397-4f5c-ba58-8d63785efa1a","year":2021},"citing_paper":{"arxiv_id":"2506.23565","last_updated":"2025-06-30T07:18:17Z","snapshot_observed_at":"2026-08-06T21:35:40.325751Z","submitted_at":"2025-06-30T07:18:17Z","title":"OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-06T21:42:19.939692Z"},"links":{"citing_paper":"/paper/2506.23565"},"observation_digest":"sha256:f8f72d9c4f87aec69eede7555070c7590759b344acc7ddd3c6b0f2a27a79a18c","observation_id":"1c5ca0aa-aa4f-4e12-be02-2f62b0a26c58","resolution":{"observed_at":"2026-08-06T21:42:26.654014Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:42:26.519352Z","title":"Nerf: Representing scenes as neural radiance fields for view syn- thesis","venue":null,"work_id":"44b82bc5-94d7-484f-b9c5-8978e2505fd9","year":2021},"citing_paper":{"arxiv_id":"2506.23565","last_updated":"2025-06-30T07:18:17Z","snapshot_observed_at":"2026-08-06T21:35:40.325751Z","submitted_at":"2025-06-30T07:18:17Z","title":"OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-06T21:42:19.997932Z"},"links":{"citing_paper":"/paper/2506.23565"},"observation_digest":"sha256:56f1c77adc7f855a32ffa88682b53ab9aa97179f8aecd4bdc3312ad7e2074aea","observation_id":"18a7258e-dade-4a5d-a4f7-abd8ce8987cd","resolution":{"observed_at":"2026-08-06T21:42:26.587479Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:42:20.078414Z","title":"V-net: Fully convolutional neural networks for volumetric medical image segmentation","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2506.23565","last_updated":"2025-06-30T07:18:17Z","snapshot_observed_at":"2026-08-06T21:35:40.325751Z","submitted_at":"2025-06-30T07:18:17Z","title":"OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-06T21:42:20.078414Z"},"links":{"citing_paper":"/paper/2506.23565"},"observation_digest":"sha256:b5b67688b40a6335d170a0a9aa98ac736d48ab4b95688be14a9478573de590a6","observation_id":"2f48f45e-af4f-457c-8790-71a68ccdb6ed","resolution":{"observed_at":"2026-08-06T21:42:20.078414Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2306.09117","last_updated":"2023-06-15T13:23:57Z","snapshot_observed_at":"2026-08-03T12:21:58.910868Z","submitted_at":"2023-06-15T13:23:57Z","title":"UniOcc: Unifying Vision-Centric 3D Occupancy Prediction with Geometric and Semantic Rendering","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.09117","snapshot_observed_at":"2026-08-06T21:42:20.140230Z","title":"Uniocc: Unifying vision-centric 3d oc- cupancy prediction with geometric and semantic rendering","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.23565","last_updated":"2025-06-30T07:18:17Z","snapshot_observed_at":"2026-08-06T21:35:40.325751Z","submitted_at":"2025-06-30T07:18:17Z","title":"OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-06T21:42:20.140230Z"},"links":{"cited_paper":"/paper/2306.09117","citing_paper":"/paper/2506.23565"},"observation_digest":"sha256:3fc606b4585ff7a3a101283668bdef5eed9f61b0843b6ad6dea7140312a95b1d","observation_id":"eaca58a1-5ada-4062-92b5-611ac70e1ff7","resolution":{"observed_at":"2026-08-06T21:42:20.140230Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:42:26.354305Z","title":"Renderocc: Vision-centric 3d occupancy prediction with 2d rendering supervision","venue":null,"work_id":"831eb2dd-5988-469a-8391-b6356f608239","year":2024},"citing_paper":{"arxiv_id":"2506.23565","last_updated":"2025-06-30T07:18:17Z","snapshot_observed_at":"2026-08-06T21:35:40.325751Z","submitted_at":"2025-06-30T07:18:17Z","title":"OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-06T21:42:20.217001Z"},"links":{"citing_paper":"/paper/2506.23565"},"observation_digest":"sha256:39cd6261ab124b4dbf6ce331912526aae881b8eb1714145a5ab0bc570a1357eb","observation_id":"9d983a85-d0bb-4242-b1e6-296bfb0c9c4a","resolution":{"observed_at":"2026-08-06T21:42:26.439023Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:42:26.240687Z","title":"Is pseudo-lidar needed for monocular 3d object detection? In ICCV, 2021","venue":null,"work_id":"7149497c-0832-4389-8f92-5f68c48bf878","year":2021},"citing_paper":{"arxiv_id":"2506.23565","last_updated":"2025-06-30T07:18:17Z","snapshot_observed_at":"2026-08-06T21:35:40.325751Z","submitted_at":"2025-06-30T07:18:17Z","title":"OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-06T21:42:20.308456Z"},"links":{"citing_paper":"/paper/2506.23565"},"observation_digest":"sha256:5cbc05253b0df6b2b1913f0c61ad05dbca9c10f616d273ade3fa8ca88e88c490","observation_id":"47b9d91a-ea68-486b-90d2-39aa408eb99b","resolution":{"observed_at":"2026-08-06T21:42:26.300031Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:42:26.125266Z","title":"Time will tell: New outlooks and a baseline for temporal multi- view 3d object detection","venue":null,"work_id":"3122722a-ee53-4269-8976-982b39f24ad8","year":2022},"citing_paper":{"arxiv_id":"2506.23565","last_updated":"2025-06-30T07:18:17Z","snapshot_observed_at":"2026-08-06T21:35:40.325751Z","submitted_at":"2025-06-30T07:18:17Z","title":"OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-06T21:42:20.385123Z"},"links":{"citing_paper":"/paper/2506.23565"},"observation_digest":"sha256:42cd04f2771712261cc69acca080f5723d86487402fdf199b905c2c7ef78e95f","observation_id":"77fbd84e-351f-4c70-abe7-a6f30b58a605","resolution":{"observed_at":"2026-08-06T21:42:26.176952Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:42:25.889309Z","title":"Pytorch: An imperative style, high-performance deep learning library","venue":null,"work_id":"fcb6c868-0a0d-4d3e-97ed-efaf7f91c0cf","year":2019},"citing_paper":{"arxiv_id":"2506.23565","last_updated":"2025-06-30T07:18:17Z","snapshot_observed_at":"2026-08-06T21:35:40.325751Z","submitted_at":"2025-06-30T07:18:17Z","title":"OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-06T21:42:20.470613Z"},"links":{"citing_paper":"/paper/2506.23565"},"observation_digest":"sha256:28e1eda7e85f1ae7dd4676071774f8759171d99cf5bb2562ee8db21bdb1209eb","observation_id":"ab4eb4f0-37f7-4d5f-89d1-4f030a8def9c","resolution":{"observed_at":"2026-08-06T21:42:26.004337Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:42:25.642867Z","title":"Lift, splat, shoot: Encoding images from arbitrary camera rigs by implicitly unprojecting to 3d","venue":null,"work_id":"8fd11a5c-1aaf-4f75-9b1b-bdf1f7a3589f","year":2020},"citing_paper":{"arxiv_id":"2506.23565","last_updated":"2025-06-30T07:18:17Z","snapshot_observed_at":"2026-08-06T21:35:40.325751Z","submitted_at":"2025-06-30T07:18:17Z","title":"OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-06T21:42:20.556468Z"},"links":{"citing_paper":"/paper/2506.23565"},"observation_digest":"sha256:e2fc7c42d3bcfb72e44ecf2e548deed84fdc618c14d82d51da252bd9a18f90a1","observation_id":"e2541974-f87b-45ad-923c-e77377176135","resolution":{"observed_at":"2026-08-06T21:42:25.775350Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:42:20.639178Z","title":"Scalability in perception for autonomous driving: Waymo open dataset","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.23565","last_updated":"2025-06-30T07:18:17Z","snapshot_observed_at":"2026-08-06T21:35:40.325751Z","submitted_at":"2025-06-30T07:18:17Z","title":"OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-06T21:42:20.639178Z"},"links":{"citing_paper":"/paper/2506.23565"},"observation_digest":"sha256:8ece91b168d1625fbbf60a1d4e99dc06349f79cde37f34690152aefabd083b5c","observation_id":"3e017acb-22c9-42c2-b395-c44a44dc5b71","resolution":{"observed_at":"2026-08-06T21:42:20.639178Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:42:25.475662Z","title":"Block-nerf: Scalable large scene neural view synthesis","venue":null,"work_id":"08cd2e4d-2f2b-42d3-ac45-29ecf1392408","year":2022},"citing_paper":{"arxiv_id":"2506.23565","last_updated":"2025-06-30T07:18:17Z","snapshot_observed_at":"2026-08-06T21:35:40.325751Z","submitted_at":"2025-06-30T07:18:17Z","title":"OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-06T21:42:20.715973Z"},"links":{"citing_paper":"/paper/2506.23565"},"observation_digest":"sha256:9e38c7e9dbe3ab20a6df7d24f9e5b2177312331fd64cf1d7c517c3f3c0d9a1a6","observation_id":"854403ae-d318-402a-be18-07627bc982ff","resolution":{"observed_at":"2026-08-06T21:42:25.537753Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:42:25.302149Z","title":"Exploring object-centric temporal modeling for efficient multi-view 3d object detection","venue":null,"work_id":"bf39023d-f4a3-47f3-bfcb-bc4ff5053113","year":2023},"citing_paper":{"arxiv_id":"2506.23565","last_updated":"2025-06-30T07:18:17Z","snapshot_observed_at":"2026-08-06T21:35:40.325751Z","submitted_at":"2025-06-30T07:18:17Z","title":"OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-06T21:42:20.775505Z"},"links":{"citing_paper":"/paper/2506.23565"},"observation_digest":"sha256:dc6a763ffc1aee68e5094bc341c06fe47362d094aaafae4b0113993f4d498ab1","observation_id":"6ecd3e66-cb0d-444f-9b32-ddf72ce7d68f","resolution":{"observed_at":"2026-08-06T21:42:25.396093Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:42:25.084030Z","title":"Fcos3d: Fully convolutional one-stage monocular 3d object detection","venue":null,"work_id":"1b9cd88b-d923-4e93-aeaa-d3ba5e267756","year":2021},"citing_paper":{"arxiv_id":"2506.23565","last_updated":"2025-06-30T07:18:17Z","snapshot_observed_at":"2026-08-06T21:35:40.325751Z","submitted_at":"2025-06-30T07:18:17Z","title":"OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-06T21:42:20.823194Z"},"links":{"citing_paper":"/paper/2506.23565"},"observation_digest":"sha256:7a471b6dd9a1648775164aa388fdcbc2a4a442240058530ad9138018b0361517","observation_id":"3b1716fb-8d49-45b8-9edc-075a0929849a","resolution":{"observed_at":"2026-08-06T21:42:25.194387Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:42:24.872749Z","title":"Detr3d: 3d object detection from multi-view images via 3d-to-2d queries","venue":null,"work_id":"27710b8c-6e43-4e6d-9afb-a4390e9dc762","year":2022},"citing_paper":{"arxiv_id":"2506.23565","last_updated":"2025-06-30T07:18:17Z","snapshot_observed_at":"2026-08-06T21:35:40.325751Z","submitted_at":"2025-06-30T07:18:17Z","title":"OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-06T21:42:20.876241Z"},"links":{"citing_paper":"/paper/2506.23565"},"observation_digest":"sha256:9f0c14e19d88f83aea7d81d54d84a428e73e56ca085009b19d168e6f393d77cd","observation_id":"1b2b099c-96f2-40d4-acd1-9366f80545f0","resolution":{"observed_at":"2026-08-06T21:42:24.984670Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:42:24.648328Z","title":"Image quality assessment: from error visibility to structural similarity","venue":null,"work_id":"5abe0b6d-9e79-430e-a1ed-8e1c2f3f6825","year":2004},"citing_paper":{"arxiv_id":"2506.23565","last_updated":"2025-06-30T07:18:17Z","snapshot_observed_at":"2026-08-06T21:35:40.325751Z","submitted_at":"2025-06-30T07:18:17Z","title":"OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-06T21:42:20.965522Z"},"links":{"citing_paper":"/paper/2506.23565"},"observation_digest":"sha256:de0c7f1cc90d71816dcc23f5e759dfc194ac9ac08a9947a28097191e2cf5868f","observation_id":"94d3ffec-37fd-4c04-9915-d6c60e2b23c1","resolution":{"observed_at":"2026-08-06T21:42:24.753095Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:42:24.407629Z","title":"Mapnerf: Incorporating map priors into neural ra- diance fields for driving view simulation","venue":null,"work_id":"f47078ac-5ef0-4e79-96ce-2db84ef91b58","year":2023},"citing_paper":{"arxiv_id":"2506.23565","last_updated":"2025-06-30T07:18:17Z","snapshot_observed_at":"2026-08-06T21:35:40.325751Z","submitted_at":"2025-06-30T07:18:17Z","title":"OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-06T21:42:21.054659Z"},"links":{"citing_paper":"/paper/2506.23565"},"observation_digest":"sha256:6516327de2615b52e336d1aa2343da3ac23e70d4b7fe4d0962f0ec18e25561fe","observation_id":"38b547f9-b2f7-48b8-beda-80a3bd1d392b","resolution":{"observed_at":"2026-08-06T21:42:24.522137Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:42:24.180232Z","title":"4d gaussian splatting for real-time dynamic scene rendering","venue":null,"work_id":"34d1c1b8-cc08-4603-a755-3680c38e8d30","year":2024},"citing_paper":{"arxiv_id":"2506.23565","last_updated":"2025-06-30T07:18:17Z","snapshot_observed_at":"2026-08-06T21:35:40.325751Z","submitted_at":"2025-06-30T07:18:17Z","title":"OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-06T21:42:21.167570Z"},"links":{"citing_paper":"/paper/2506.23565"},"observation_digest":"sha256:4078961cdac3a692a00ad59fc985342a6b27a3360823995884c31510b64598c8","observation_id":"887cdd73-3091-4b7c-852e-3991c7c137c7","resolution":{"observed_at":"2026-08-06T21:42:24.284857Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:42:23.972848Z","title":"Heightformer: Explicit height modeling without extra data for camera-only 3d object detection in bird’s eye view","venue":null,"work_id":"26227d45-a41f-42cf-9fc3-51051b95bc9f","year":2024},"citing_paper":{"arxiv_id":"2506.23565","last_updated":"2025-06-30T07:18:17Z","snapshot_observed_at":"2026-08-06T21:35:40.325751Z","submitted_at":"2025-06-30T07:18:17Z","title":"OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-06T21:42:21.280981Z"},"links":{"citing_paper":"/paper/2506.23565"},"observation_digest":"sha256:78d9672541231f2dd587ec835201ec93732d727067f3a2b103402b83c7c26639","observation_id":"178ced7c-548b-4dbe-9a5d-409df20394f5","resolution":{"observed_at":"2026-08-06T21:42:24.071555Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:42:23.795939Z","title":"Nerf-det: Learning geometry-aware volu- metric representation for multi-view 3d object detection","venue":null,"work_id":"056bfae9-26dd-40d5-b065-0bc01d585c48","year":2023},"citing_paper":{"arxiv_id":"2506.23565","last_updated":"2025-06-30T07:18:17Z","snapshot_observed_at":"2026-08-06T21:35:40.325751Z","submitted_at":"2025-06-30T07:18:17Z","title":"OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-06T21:42:21.446469Z"},"links":{"citing_paper":"/paper/2506.23565"},"observation_digest":"sha256:bef243a757eff8ab0ba6b6afbd5932540adeafa4d093a4b32df6f75aabd8cd59","observation_id":"a122763c-2296-42b1-8bc7-92505e73904c","resolution":{"observed_at":"2026-08-06T21:42:23.896569Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2401.01339","last_updated":"2024-08-18T14:26:31Z","snapshot_observed_at":"2026-08-01T08:15:20.431395Z","submitted_at":"2024-01-02T18:59:55Z","title":"Street Gaussians: Modeling Dynamic Urban Scenes with Gaussian Splatting","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.01339","snapshot_observed_at":"2026-08-06T21:42:21.554547Z","title":"Street gaussians for modeling dynamic ur- ban scenes","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.23565","last_updated":"2025-06-30T07:18:17Z","snapshot_observed_at":"2026-08-06T21:35:40.325751Z","submitted_at":"2025-06-30T07:18:17Z","title":"OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-06T21:42:21.554547Z"},"links":{"cited_paper":"/paper/2401.01339","citing_paper":"/paper/2506.23565"},"observation_digest":"sha256:68ee1de7f575ee87850075461fdf8d1e09cf430bfd19398b18912eb7debc1098","observation_id":"116808bf-207f-4e0f-838c-e647a12de567","resolution":{"observed_at":"2026-08-06T21:42:21.554547Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:42:23.575514Z","title":"Bevformer v2: Adapting modern image backbones to bird’s-eye-view recognition via perspective su- pervision","venue":null,"work_id":"b9bad9fa-a3cb-45e5-90bf-e5e8de1aff15","year":2023},"citing_paper":{"arxiv_id":"2506.23565","last_updated":"2025-06-30T07:18:17Z","snapshot_observed_at":"2026-08-06T21:35:40.325751Z","submitted_at":"2025-06-30T07:18:17Z","title":"OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-06T21:42:21.683748Z"},"links":{"citing_paper":"/paper/2506.23565"},"observation_digest":"sha256:cd0938114d92f21ff42ce0d5953de31b0a80d83db0fe2945081c8976c4c5bd3b","observation_id":"bde29fb5-0481-407e-8a00-a23c53c3c832","resolution":{"observed_at":"2026-08-06T21:42:23.710776Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2311.02077","last_updated":"2023-11-03T17:59:55Z","snapshot_observed_at":"2026-08-07T14:39:21.795533Z","submitted_at":"2023-11-03T17:59:55Z","title":"EmerNeRF: Emergent Spatial-Temporal Scene Decomposition via Self-Supervision","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.02077","snapshot_observed_at":"2026-08-06T21:42:21.836791Z","title":"Emernerf: Emergent spatial-temporal scene decomposition via self-supervision","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.23565","last_updated":"2025-06-30T07:18:17Z","snapshot_observed_at":"2026-08-06T21:35:40.325751Z","submitted_at":"2025-06-30T07:18:17Z","title":"OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-06T21:42:21.836791Z"},"links":{"cited_paper":"/paper/2311.02077","citing_paper":"/paper/2506.23565"},"observation_digest":"sha256:448c53ed6be6b8b5665f54620fc8b1c76c74db013a938781a15b2327e2233421","observation_id":"30bf9e3d-8d28-4861-9c46-968b7f2b6fe8","resolution":{"observed_at":"2026-08-06T21:42:21.836791Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:42:23.358495Z","title":"Center- based 3d object detection and tracking","venue":null,"work_id":"d593c2d2-74ce-45f4-9c62-d3fd85554b81","year":2021},"citing_paper":{"arxiv_id":"2506.23565","last_updated":"2025-06-30T07:18:17Z","snapshot_observed_at":"2026-08-06T21:35:40.325751Z","submitted_at":"2025-06-30T07:18:17Z","title":"OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-06T21:42:21.909667Z"},"links":{"citing_paper":"/paper/2506.23565"},"observation_digest":"sha256:73f42e9c26647f7355b9067edb1ef9216d037926995eb2d878050a54441622b5","observation_id":"65ad402b-749d-424b-a991-3ace4dcd838c","resolution":{"observed_at":"2026-08-06T21:42:23.445588Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:42:23.206243Z","title":"Sa-bev: Generating semantic-aware bird’s-eye-view feature for multi-view 3d object detection","venue":null,"work_id":"002efcfd-1ad8-4787-aa06-59d912111405","year":2023},"citing_paper":{"arxiv_id":"2506.23565","last_updated":"2025-06-30T07:18:17Z","snapshot_observed_at":"2026-08-06T21:35:40.325751Z","submitted_at":"2025-06-30T07:18:17Z","title":"OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-06T21:42:22.013238Z"},"links":{"citing_paper":"/paper/2506.23565"},"observation_digest":"sha256:5e282854d278a8cdca4e2da8c8b35275f5080634f7f1165bcca1d6737a64181d","observation_id":"198ef89a-bfa2-47f4-aab2-7b57c3b3411a","resolution":{"observed_at":"2026-08-06T21:42:23.275182Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:42:23.061141Z","title":"Nerf-lidar: Generating realistic lidar point clouds with neural radiance fields","venue":null,"work_id":"7d855c8a-5b38-4175-8fa5-f83fdfb2c89d","year":2024},"citing_paper":{"arxiv_id":"2506.23565","last_updated":"2025-06-30T07:18:17Z","snapshot_observed_at":"2026-08-06T21:35:40.325751Z","submitted_at":"2025-06-30T07:18:17Z","title":"OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-06T21:42:22.147616Z"},"links":{"citing_paper":"/paper/2506.23565"},"observation_digest":"sha256:453447bde8e645f9f45d36922cf45d304e58ee65f187228ebd3bb64dc6cc5f27","observation_id":"bc914b31-3ad4-419a-8b2d-b75767ce2dab","resolution":{"observed_at":"2026-08-06T21:42:23.138277Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:42:22.845993Z","title":"Hybridocc: Nerf enhanced transformer-based multi-camera 3d occupancy prediction","venue":null,"work_id":"08f081ea-4505-40e8-99ea-47d86e0de89c","year":2024},"citing_paper":{"arxiv_id":"2506.23565","last_updated":"2025-06-30T07:18:17Z","snapshot_observed_at":"2026-08-06T21:35:40.325751Z","submitted_at":"2025-06-30T07:18:17Z","title":"OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-06T21:42:22.251348Z"},"links":{"citing_paper":"/paper/2506.23565"},"observation_digest":"sha256:c99ef9fbe340f0dc32b670b0f7ed2b7d06f087bbe0296af479382947f83f6475","observation_id":"2b166a0d-1810-462f-8675-b14df96535b5","resolution":{"observed_at":"2026-08-06T21:42:22.942128Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:42:22.715421Z","title":"Hugs: Holistic urban 3d scene understanding via gaus- sian splatting","venue":null,"work_id":"5b03bfba-a87e-4cb2-9fcf-d067aa870787","year":2024},"citing_paper":{"arxiv_id":"2506.23565","last_updated":"2025-06-30T07:18:17Z","snapshot_observed_at":"2026-08-06T21:35:40.325751Z","submitted_at":"2025-06-30T07:18:17Z","title":"OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-06T21:42:22.333914Z"},"links":{"citing_paper":"/paper/2506.23565"},"observation_digest":"sha256:bf23ecad329d3630086bc7e6946f5b2c7a778fcf08148e19b4c46ad8fc5e5b46","observation_id":"928a4a7c-dfdf-45d4-8c8b-674350aa9e64","resolution":{"observed_at":"2026-08-06T21:42:22.797813Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:42:22.561151Z","title":"Drivinggaussian: 14 Composite gaussian splatting for surrounding dynamic au- tonomous driving scenes","venue":null,"work_id":"9bb823ab-e5db-483e-b112-72a859ecb5f6","year":2024},"citing_paper":{"arxiv_id":"2506.23565","last_updated":"2025-06-30T07:18:17Z","snapshot_observed_at":"2026-08-06T21:35:40.325751Z","submitted_at":"2025-06-30T07:18:17Z","title":"OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving","version":1},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-06T21:42:22.405887Z"},"links":{"citing_paper":"/paper/2506.23565"},"observation_digest":"sha256:ead0397c3157923219473af7e8c4b89cb986d77ce39208d095b654fb09d06b6a","observation_id":"f000226f-deb9-449a-a421-f8fb128f6c50","resolution":{"observed_at":"2026-08-06T21:42:22.639242Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2506.23565","last_updated":"2025-06-30T07:18:17Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-06T21:35:40.325751Z","submitted_at":"2025-06-30T07:18:17Z","title":"OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving"},"reference_resolution":{"displayed":61,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":13,"verified_exact":0,"verified_fuzzy":48},"total_outbound_references":61},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 7 August 2026, this Paper Citation Record lists 61 of 61 outbound references and 0 inbound Pith citation observations for arXiv:2506.23565."}