{"as_of":"2026-08-05T18:50:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:04bda6e7914d173d3d528f002208dafb07b8a71dbf9d0a0324bd4f1e58bc73af","coverage":[{"denominator":50,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":50,"source":"paper_references, paper_reference_links","source_observed_at":"2026-05-19T21:19:17.894557Z","state":"measured"},{"denominator":50,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":50,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-05T06:32:48.257954+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/2605.16911/citation-record","integrity":"/paper/2605.16911/integrity","json":"/paper/2605.16911/citation-record.json","paper":"/paper/2605.16911"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Blaschko","venue":null,"work_id":"38873ece-16b2-4c6e-9da8-e3065f2e5363","year":2018},"citing_paper":{"arxiv_id":"2605.16911","last_updated":"2026-05-16T09:51:04Z","snapshot_observed_at":"2026-07-06T23:27:57.805018Z","submitted_at":"2026-05-16T09:51:04Z","title":"VGGT-Occ: Geometry-Grounded and Density-Aware Gated Fusion for 3D Occupancy Prediction","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-05-19T21:19:17.894557Z"},"links":{"citing_paper":"/paper/2605.16911"},"observation_digest":"sha256:47432f8080c9860f579706562b34c09298979dfe24361a7c86d38fd03481c593","observation_id":"121bbcb5-3387-467c-934f-315a066684fa","resolution":{"observed_at":"2026-05-19T21:23:14.355381Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":"Lang, Sourabh V ora, Venice Erin Liong, Qiang Xu, Anush Krishnan, Yu Pan, Giancarlo Baldan, and Oscar Beijbom","venue":null,"work_id":"7b09ba53-a1c3-41b7-a620-141ab87e3c71","year":2020},"citing_paper":{"arxiv_id":"2605.16911","last_updated":"2026-05-16T09:51:04Z","snapshot_observed_at":"2026-07-06T23:27:57.805018Z","submitted_at":"2026-05-16T09:51:04Z","title":"VGGT-Occ: Geometry-Grounded and Density-Aware Gated Fusion for 3D Occupancy Prediction","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-05-19T21:19:17.894557Z"},"links":{"citing_paper":"/paper/2605.16911"},"observation_digest":"sha256:525f0702a37bac1399b5e1bc1078609a836ba7e0b89cf313e2ba9ecce9f92594","observation_id":"ad04f3e6-bb78-44a9-8546-b840b0546358","resolution":{"observed_at":"2026-05-19T21:23:14.350893Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":"MonoScene: Monocular 3D semantic scene completion","venue":null,"work_id":"81f3e606-939f-490a-ba91-292d3a456e1c","year":2022},"citing_paper":{"arxiv_id":"2605.16911","last_updated":"2026-05-16T09:51:04Z","snapshot_observed_at":"2026-07-06T23:27:57.805018Z","submitted_at":"2026-05-16T09:51:04Z","title":"VGGT-Occ: Geometry-Grounded and Density-Aware Gated Fusion for 3D Occupancy Prediction","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-05-19T21:19:17.894557Z"},"links":{"citing_paper":"/paper/2605.16911"},"observation_digest":"sha256:30e41033c7ef4d7ba58fd79cb82e598bc43c1cb58f6aea111863df2c408059ae","observation_id":"366db97b-be08-4400-8ce5-55f743c34c4e","resolution":{"observed_at":"2026-05-19T21:23:14.339777Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":"Gauss- Render: Learning 3D occupancy with Gaussian rendering","venue":null,"work_id":"d1420371-0c70-4237-bdfe-45c1688aaea2","year":2025},"citing_paper":{"arxiv_id":"2605.16911","last_updated":"2026-05-16T09:51:04Z","snapshot_observed_at":"2026-07-06T23:27:57.805018Z","submitted_at":"2026-05-16T09:51:04Z","title":"VGGT-Occ: Geometry-Grounded and Density-Aware Gated Fusion for 3D Occupancy Prediction","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-05-19T21:19:17.894557Z"},"links":{"citing_paper":"/paper/2605.16911"},"observation_digest":"sha256:6fa48a81dc2ac809d45579e92e5bc6f698fe2f0bc0a9c5a033b86a612dcfd558","observation_id":"b252d812-39da-45c2-926c-7a5b691cf8a1","resolution":{"observed_at":"2026-05-19T21:23:14.273471Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2403.11247","last_updated":"2026-05-13T03:31:24Z","snapshot_observed_at":"2026-07-06T17:45:55.829892Z","submitted_at":"2024-03-17T15:41:35Z","title":"Compact 3D Gaussian Splatting For Dense Visual SLAM","version":3},"cited_work":{"arxiv_id":"2403.11247","doi":null,"metadata_source":"pith","pith_arxiv_id":"2403.11247","snapshot_observed_at":"2026-07-04T13:09:51.149892Z","title":"Compact 3D Gaussian Splatting For Dense Visual SLAM","venue":"cs.CV","work_id":"d8274008-86ea-42d5-93fa-b5f806a9224a","year":2024},"citing_paper":{"arxiv_id":"2605.16911","last_updated":"2026-05-16T09:51:04Z","snapshot_observed_at":"2026-07-06T23:27:57.805018Z","submitted_at":"2026-05-16T09:51:04Z","title":"VGGT-Occ: Geometry-Grounded and Density-Aware Gated Fusion for 3D Occupancy Prediction","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-05-19T21:19:17.894557Z"},"links":{"cited_paper":"/paper/2403.11247","citing_paper":"/paper/2605.16911"},"observation_digest":"sha256:84f3017256a4e2b2dd021657cc42ee10d27b9f019d01046a687b100f276ab370","observation_id":"8d574aa7-8608-4696-85b3-aa77899e7d26","resolution":{"observed_at":"2026-05-19T21:22:48.057063Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2512.21078","last_updated":"2026-06-29T16:02:29Z","snapshot_observed_at":"2026-08-04T02:44:13.278161Z","submitted_at":"2025-12-24T09:55:16Z","title":"UniPR-3D: Towards Universal Visual Place Recognition with Visual Geometry Grounded Transformer","version":3},"cited_work":{"arxiv_id":"2512.21078","doi":null,"metadata_source":"pith","pith_arxiv_id":"2512.21078","snapshot_observed_at":"2026-07-04T16:29:57.449515Z","title":"UniPR-3D: Towards universal visual place recognition with visual geometry grounded transformer","venue":"cs.CV","work_id":"4e723783-10c9-4905-aef0-9ce84581a649","year":2025},"citing_paper":{"arxiv_id":"2605.16911","last_updated":"2026-05-16T09:51:04Z","snapshot_observed_at":"2026-07-06T23:27:57.805018Z","submitted_at":"2026-05-16T09:51:04Z","title":"VGGT-Occ: Geometry-Grounded and Density-Aware Gated Fusion for 3D Occupancy Prediction","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-05-19T21:19:17.894557Z"},"links":{"cited_paper":"/paper/2512.21078","citing_paper":"/paper/2605.16911"},"observation_digest":"sha256:57092861f228fb46293be220ccdffd75c6420b345030306cd74f88c5805ca476","observation_id":"c6c82e1e-580d-4d1d-a7e7-b88d5238dd56","resolution":{"observed_at":"2026-06-30T03:18:05.886082Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2512.03422","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T10:46:11.607069Z","title":"What is the best 3d scene representation for robotics? from geometric to foundation models","venue":null,"work_id":"e2f37cab-d139-438b-9969-f14a0c9fc8f9","year":2025},"citing_paper":{"arxiv_id":"2605.16911","last_updated":"2026-05-16T09:51:04Z","snapshot_observed_at":"2026-07-06T23:27:57.805018Z","submitted_at":"2026-05-16T09:51:04Z","title":"VGGT-Occ: Geometry-Grounded and Density-Aware Gated Fusion for 3D Occupancy Prediction","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-05-19T21:19:17.894557Z"},"links":{"citing_paper":"/paper/2605.16911"},"observation_digest":"sha256:3b15d2f6a57dee3be7003e28eade70a177aff9eb17756df24fdb3e8dfcd74e70","observation_id":"7c3ba55e-8d1f-4d49-a9ce-9c10feb8fdf8","resolution":{"observed_at":"2026-05-19T21:22:48.012368Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2512.21883","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Reloc-VGGT: Visual re-localization with geometry grounded transformer","venue":null,"work_id":"6befd9d2-0f22-4197-a72a-fa0243a9f1d4","year":2025},"citing_paper":{"arxiv_id":"2605.16911","last_updated":"2026-05-16T09:51:04Z","snapshot_observed_at":"2026-07-06T23:27:57.805018Z","submitted_at":"2026-05-16T09:51:04Z","title":"VGGT-Occ: Geometry-Grounded and Density-Aware Gated Fusion for 3D Occupancy Prediction","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-05-19T21:19:17.894557Z"},"links":{"citing_paper":"/paper/2605.16911"},"observation_digest":"sha256:024b8583d588a990bb5c340755a3a3e8571f00a686187abe42b516ebadb87a33","observation_id":"7e6d3db9-d56c-4a68-869f-76ced561b659","resolution":{"observed_at":"2026-05-19T21:22:48.025211Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-07-07T18:44:07.584601Z","title":"An image is worth 16x16 words: Transformers for image recognition at scale","venue":null,"work_id":"0054132b-6d12-4bea-83a7-fa9576c908e9","year":2021},"citing_paper":{"arxiv_id":"2605.16911","last_updated":"2026-05-16T09:51:04Z","snapshot_observed_at":"2026-07-06T23:27:57.805018Z","submitted_at":"2026-05-16T09:51:04Z","title":"VGGT-Occ: Geometry-Grounded and Density-Aware Gated Fusion for 3D Occupancy Prediction","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-05-19T21:19:17.894557Z"},"links":{"citing_paper":"/paper/2605.16911"},"observation_digest":"sha256:205afdcfc3e07f4c9bd74aeede7089d63dde257aa41d3c595026f3729254a857","observation_id":"5ddfe158-4dce-4d01-a0f9-1a2a4f717094","resolution":{"observed_at":"2026-05-19T21:23:14.307675Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"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":"2112.11790","doi":null,"metadata_source":"pith","pith_arxiv_id":"2112.11790","snapshot_observed_at":"2026-07-08T23:55:43.001120Z","title":"BEVDet: High-performance Multi-camera 3D Object Detection in Bird-Eye-View","venue":"cs.CV","work_id":"cbbff760-e4d5-44da-bbe3-8286f8bf1ad6","year":2021},"citing_paper":{"arxiv_id":"2605.16911","last_updated":"2026-05-16T09:51:04Z","snapshot_observed_at":"2026-07-06T23:27:57.805018Z","submitted_at":"2026-05-16T09:51:04Z","title":"VGGT-Occ: Geometry-Grounded and Density-Aware Gated Fusion for 3D Occupancy Prediction","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-05-19T21:19:17.894557Z"},"links":{"cited_paper":"/paper/2112.11790","citing_paper":"/paper/2605.16911"},"observation_digest":"sha256:9794701dd83b2773c0619105ce0569dfd4aa653c287a5db57a5d48dfe34de420","observation_id":"4255dc35-6d14-4e50-a06c-559b4da5cbba","resolution":{"observed_at":"2026-05-19T21:22:48.043995Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":"Tri-perspective view for vision-based 3D semantic occupancy prediction","venue":null,"work_id":"b5897177-9ca8-48b0-bc8d-de3b5514e2fb","year":2023},"citing_paper":{"arxiv_id":"2605.16911","last_updated":"2026-05-16T09:51:04Z","snapshot_observed_at":"2026-07-06T23:27:57.805018Z","submitted_at":"2026-05-16T09:51:04Z","title":"VGGT-Occ: Geometry-Grounded and Density-Aware Gated Fusion for 3D Occupancy Prediction","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-05-19T21:19:17.894557Z"},"links":{"citing_paper":"/paper/2605.16911"},"observation_digest":"sha256:398398edcbaa794a7da188f092ac23f9d44b8f0f64e14cc2b8232c8d22ce80ed","observation_id":"977d6f34-851c-412f-b371-573e837491c4","resolution":{"observed_at":"2026-05-19T21:23:14.326344Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":"SelfOcc: Self- supervised vision-based 3D occupancy prediction","venue":null,"work_id":"14620638-b26b-4c50-9c85-a29eb766b89c","year":2024},"citing_paper":{"arxiv_id":"2605.16911","last_updated":"2026-05-16T09:51:04Z","snapshot_observed_at":"2026-07-06T23:27:57.805018Z","submitted_at":"2026-05-16T09:51:04Z","title":"VGGT-Occ: Geometry-Grounded and Density-Aware Gated Fusion for 3D Occupancy Prediction","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-05-19T21:19:17.894557Z"},"links":{"citing_paper":"/paper/2605.16911"},"observation_digest":"sha256:28f9ceedcfe911475452de883ae9780cbe83c35abd5f08be5f3228d6091ac34a","observation_id":"0bb56a54-a21c-432e-b967-13b488e0f27f","resolution":{"observed_at":"2026-05-19T21:23:14.310294Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":"GaussianFormer: Scene as Gaussians for vision-based 3D semantic occupancy prediction","venue":null,"work_id":"7b85e890-c843-4577-a4e2-6556d41b61b5","year":2024},"citing_paper":{"arxiv_id":"2605.16911","last_updated":"2026-05-16T09:51:04Z","snapshot_observed_at":"2026-07-06T23:27:57.805018Z","submitted_at":"2026-05-16T09:51:04Z","title":"VGGT-Occ: Geometry-Grounded and Density-Aware Gated Fusion for 3D Occupancy Prediction","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-05-19T21:19:17.894557Z"},"links":{"citing_paper":"/paper/2605.16911"},"observation_digest":"sha256:60db06bfe44c0f9160b6b274d45ccf6048531b4964c77d02d859b96f5a0eb674","observation_id":"4e957149-c720-4829-8477-f332cff85aa4","resolution":{"observed_at":"2026-05-19T21:23:14.328466Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":"GaussianFormer-2: Probabilistic Gaussian superposition for efficient 3D occupancy prediction","venue":null,"work_id":"f4419114-99a7-4af9-a8b3-f0d3b67f4421","year":2025},"citing_paper":{"arxiv_id":"2605.16911","last_updated":"2026-05-16T09:51:04Z","snapshot_observed_at":"2026-07-06T23:27:57.805018Z","submitted_at":"2026-05-16T09:51:04Z","title":"VGGT-Occ: Geometry-Grounded and Density-Aware Gated Fusion for 3D Occupancy Prediction","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-05-19T21:19:17.894557Z"},"links":{"citing_paper":"/paper/2605.16911"},"observation_digest":"sha256:c645414757fdfcea57a281afd3689f61fa2acb897de853eb11c20762ee3cacc3","observation_id":"95e546e7-1eb5-4a9a-aed8-3b8ab92e011b","resolution":{"observed_at":"2026-05-19T21:23:14.346514Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":"Far3D: Expanding the horizon for surround-view 3D object detection","venue":null,"work_id":"0aacb908-44b7-41cf-9582-13de170051e4","year":2024},"citing_paper":{"arxiv_id":"2605.16911","last_updated":"2026-05-16T09:51:04Z","snapshot_observed_at":"2026-07-06T23:27:57.805018Z","submitted_at":"2026-05-16T09:51:04Z","title":"VGGT-Occ: Geometry-Grounded and Density-Aware Gated Fusion for 3D Occupancy Prediction","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-05-19T21:19:17.894557Z"},"links":{"citing_paper":"/paper/2605.16911"},"observation_digest":"sha256:c4edc9ea020973e0ab22aea2fd844d95ae746eea790e0417e128f137a4e0a2af","observation_id":"63300f95-792e-4100-a5ce-59012761159b","resolution":{"observed_at":"2026-05-19T21:23:14.300461Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":"3D Gaussian splatting for real-time radiance field rendering.ACM Trans","venue":null,"work_id":"7c43e9fc-9c85-40ea-969b-561f99965136","year":2023},"citing_paper":{"arxiv_id":"2605.16911","last_updated":"2026-05-16T09:51:04Z","snapshot_observed_at":"2026-07-06T23:27:57.805018Z","submitted_at":"2026-05-16T09:51:04Z","title":"VGGT-Occ: Geometry-Grounded and Density-Aware Gated Fusion for 3D Occupancy Prediction","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-05-19T21:19:17.894557Z"},"links":{"citing_paper":"/paper/2605.16911"},"observation_digest":"sha256:98f0e3f1ced5fe68342d637beb7ab2d0cfb469a153ae586362085e3532b492f3","observation_id":"234f5752-6a29-47b6-858c-4adf39237d50","resolution":{"observed_at":"2026-05-19T21:23:14.372111Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2306.09001","last_updated":"2024-09-30T13:27:59Z","snapshot_observed_at":"2026-07-06T15:42:52.549767Z","submitted_at":"2023-06-15T09:56:33Z","title":"SSCBench: A Large-Scale 3D Semantic Scene Completion Benchmark for Autonomous Driving","version":3},"cited_work":{"arxiv_id":"2306.09001","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2306.09001","snapshot_observed_at":"2026-07-01T10:05:41.549830Z","title":"SSCBench: A large-scale 3D semantic scene completion benchmark for autonomous driving","venue":null,"work_id":"f5f7e1c9-1787-4cff-b6ca-ca7c0f18f94d","year":2023},"citing_paper":{"arxiv_id":"2605.16911","last_updated":"2026-05-16T09:51:04Z","snapshot_observed_at":"2026-07-06T23:27:57.805018Z","submitted_at":"2026-05-16T09:51:04Z","title":"VGGT-Occ: Geometry-Grounded and Density-Aware Gated Fusion for 3D Occupancy Prediction","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-05-19T21:19:17.894557Z"},"links":{"cited_paper":"/paper/2306.09001","citing_paper":"/paper/2605.16911"},"observation_digest":"sha256:c7276e619fedb9d6520862d866c2a62f92418d09581889ef201028a09c0e155e","observation_id":"c712fb7b-a0a9-4588-98c5-f336397e1823","resolution":{"observed_at":"2026-05-19T21:22:48.031903Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":"BEVFormer: Learning bird’s-eye-view representation from multi-camera images via spatiotemporal transformers","venue":null,"work_id":"6d304b3a-a172-4458-a013-f7b1e79b357e","year":2022},"citing_paper":{"arxiv_id":"2605.16911","last_updated":"2026-05-16T09:51:04Z","snapshot_observed_at":"2026-07-06T23:27:57.805018Z","submitted_at":"2026-05-16T09:51:04Z","title":"VGGT-Occ: Geometry-Grounded and Density-Aware Gated Fusion for 3D Occupancy Prediction","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-05-19T21:19:17.894557Z"},"links":{"citing_paper":"/paper/2605.16911"},"observation_digest":"sha256:c3391606b76d90a8f5289c1b2b91f29b1912920bda4ea1bf28ce6f38d2711050","observation_id":"cd63d7e7-98e7-4df6-9e93-db949ebc39ff","resolution":{"observed_at":"2026-05-19T21:23:14.357868Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":"FB-OCC: 3D occupancy prediction based on forward-backward view transformation","venue":null,"work_id":"91c0d420-6f8b-4332-89cb-353d19962c12","year":2023},"citing_paper":{"arxiv_id":"2605.16911","last_updated":"2026-05-16T09:51:04Z","snapshot_observed_at":"2026-07-06T23:27:57.805018Z","submitted_at":"2026-05-16T09:51:04Z","title":"VGGT-Occ: Geometry-Grounded and Density-Aware Gated Fusion for 3D Occupancy Prediction","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-05-19T21:19:17.894557Z"},"links":{"citing_paper":"/paper/2605.16911"},"observation_digest":"sha256:fbe5183c2a5eef6fe89b3aeacd8024c2450df421936abb4c5e3e427b029dc6fd","observation_id":"d3560348-7d99-46b4-af4b-e39ae2900966","resolution":{"observed_at":"2026-05-19T21:23:14.297597Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2211.10581","doi":"10.48550/arxiv.2211.10581","metadata_source":"arxiv_reference","pith_arxiv_id":"2211.10581","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Sparse4D: Multi-view 3D object detection with sparse spatial-temporal fusion","venue":"arXiv (Cornell University)","work_id":"44ddd7f0-b7cf-4298-a542-5f1c2981d4cd","year":2022},"citing_paper":{"arxiv_id":"2605.16911","last_updated":"2026-05-16T09:51:04Z","snapshot_observed_at":"2026-07-06T23:27:57.805018Z","submitted_at":"2026-05-16T09:51:04Z","title":"VGGT-Occ: Geometry-Grounded and Density-Aware Gated Fusion for 3D Occupancy Prediction","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-05-19T21:19:17.894557Z"},"links":{"cited_paper":"/paper/2211.10581","citing_paper":"/paper/2605.16911"},"observation_digest":"sha256:61168209482c1e36983076a15442eb154c0f99f3bdb4c66e2b9be5973b1f77c2","observation_id":"b4ffba30-365c-430e-9bfc-a74e08b413df","resolution":{"observed_at":"2026-05-19T21:22:48.050739Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":"Fully sparse 3D occupancy prediction","venue":null,"work_id":"3a814cad-945d-4a7a-b71f-6fabd9730ef6","year":2024},"citing_paper":{"arxiv_id":"2605.16911","last_updated":"2026-05-16T09:51:04Z","snapshot_observed_at":"2026-07-06T23:27:57.805018Z","submitted_at":"2026-05-16T09:51:04Z","title":"VGGT-Occ: Geometry-Grounded and Density-Aware Gated Fusion for 3D Occupancy Prediction","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-05-19T21:19:17.894557Z"},"links":{"citing_paper":"/paper/2605.16911"},"observation_digest":"sha256:e681594c7b609476fa94208b5e10d68d6b40b2052b84b5a9a8315ca66ce60c54","observation_id":"d1c8c0c6-7502-446f-a21a-34ef3011457a","resolution":{"observed_at":"2026-05-19T21:23:14.341744Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":"PETR: Position embedding transfor- mation for multi-view 3D object detection","venue":null,"work_id":"41b27a8e-9f4b-492f-aa3f-f0a8f0fa98b6","year":2022},"citing_paper":{"arxiv_id":"2605.16911","last_updated":"2026-05-16T09:51:04Z","snapshot_observed_at":"2026-07-06T23:27:57.805018Z","submitted_at":"2026-05-16T09:51:04Z","title":"VGGT-Occ: Geometry-Grounded and Density-Aware Gated Fusion for 3D Occupancy Prediction","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-05-19T21:19:17.894557Z"},"links":{"citing_paper":"/paper/2605.16911"},"observation_digest":"sha256:64a49f651ce37c986f3e5eaa97e7e49cd55764862984dc6902e7f95c30d88ed3","observation_id":"8a41e538-6cbf-4202-b8dd-6e37803450a3","resolution":{"observed_at":"2026-05-19T21:23:14.319743Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":"A ConvNet for the 2020s","venue":null,"work_id":"7a8e01c1-b8b4-4980-a6c3-16a999fdc7c2","year":2022},"citing_paper":{"arxiv_id":"2605.16911","last_updated":"2026-05-16T09:51:04Z","snapshot_observed_at":"2026-07-06T23:27:57.805018Z","submitted_at":"2026-05-16T09:51:04Z","title":"VGGT-Occ: Geometry-Grounded and Density-Aware Gated Fusion for 3D Occupancy Prediction","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-05-19T21:19:17.894557Z"},"links":{"citing_paper":"/paper/2605.16911"},"observation_digest":"sha256:e5a9a26d738dbb9a55b56c6500e1b95565a5b6867641916edf55f7ddabb17a6b","observation_id":"ae5e2b91-d461-494d-85fa-045a7c1bd6da","resolution":{"observed_at":"2026-05-19T21:23:14.358321Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-07-09T02:55:53.859051Z","title":"Decoupled weight decay regularization","venue":null,"work_id":"d59937f2-7a06-4aea-8ba5-ec0385690fbf","year":2019},"citing_paper":{"arxiv_id":"2605.16911","last_updated":"2026-05-16T09:51:04Z","snapshot_observed_at":"2026-07-06T23:27:57.805018Z","submitted_at":"2026-05-16T09:51:04Z","title":"VGGT-Occ: Geometry-Grounded and Density-Aware Gated Fusion for 3D Occupancy Prediction","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-05-19T21:19:17.894557Z"},"links":{"citing_paper":"/paper/2605.16911"},"observation_digest":"sha256:864f7bfd4d2a07b492d57bd96188e1fdad2493c6396d2f0ca937efa138a54102","observation_id":"c96759af-bbb1-4803-9f2a-1053eda0bb40","resolution":{"observed_at":"2026-05-19T21:23:14.331229Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":"Cam4DOcc: Benchmark for camera-only 4D occupancy forecasting in autonomous driving applications","venue":null,"work_id":"d23f4565-6605-4481-a91f-21d1fcda9f5c","year":2024},"citing_paper":{"arxiv_id":"2605.16911","last_updated":"2026-05-16T09:51:04Z","snapshot_observed_at":"2026-07-06T23:27:57.805018Z","submitted_at":"2026-05-16T09:51:04Z","title":"VGGT-Occ: Geometry-Grounded and Density-Aware Gated Fusion for 3D Occupancy Prediction","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-05-19T21:19:17.894557Z"},"links":{"citing_paper":"/paper/2605.16911"},"observation_digest":"sha256:2817af1f383f2d091b4b2d5be6e78f1586c274a2c4bb731126ae094a40882041","observation_id":"82d40d77-41d1-489f-9a24-7086fb6f7c73","resolution":{"observed_at":"2026-05-19T21:23:14.282087Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":"3D occupancy prediction with low-resolution queries via prototype-aware view transformation","venue":null,"work_id":"7386c352-72c5-4e0f-a63d-26ba305fa150","year":2025},"citing_paper":{"arxiv_id":"2605.16911","last_updated":"2026-05-16T09:51:04Z","snapshot_observed_at":"2026-07-06T23:27:57.805018Z","submitted_at":"2026-05-16T09:51:04Z","title":"VGGT-Occ: Geometry-Grounded and Density-Aware Gated Fusion for 3D Occupancy Prediction","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-05-19T21:19:17.894557Z"},"links":{"citing_paper":"/paper/2605.16911"},"observation_digest":"sha256:c1670655979d5f9585e81d264fa395b4fa817593c09de37403b512b7fde885d6","observation_id":"235d2f06-d2e7-481b-b6e2-49ee3c4f718a","resolution":{"observed_at":"2026-05-19T21:23:14.364993Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":"DINOv2: Learning robust visual features without supervision.TMLR","venue":null,"work_id":"2ff5a679-fe8a-4b72-b0c4-224a98dcbb06","year":2024},"citing_paper":{"arxiv_id":"2605.16911","last_updated":"2026-05-16T09:51:04Z","snapshot_observed_at":"2026-07-06T23:27:57.805018Z","submitted_at":"2026-05-16T09:51:04Z","title":"VGGT-Occ: Geometry-Grounded and Density-Aware Gated Fusion for 3D Occupancy Prediction","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-05-19T21:19:17.894557Z"},"links":{"citing_paper":"/paper/2605.16911"},"observation_digest":"sha256:f2a10c5df51c701352e46d96e68c98c362264e991c9b2f6b3e9b572acaf90c21","observation_id":"92d20383-d1a9-41d1-9609-7c4532c74083","resolution":{"observed_at":"2026-05-19T21:23:14.300801Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":"RenderOcc: Vision-centric 3D occupancy prediction with 2D rendering supervision","venue":null,"work_id":"a0bee3db-7310-488e-8b01-bbbd95616a43","year":2024},"citing_paper":{"arxiv_id":"2605.16911","last_updated":"2026-05-16T09:51:04Z","snapshot_observed_at":"2026-07-06T23:27:57.805018Z","submitted_at":"2026-05-16T09:51:04Z","title":"VGGT-Occ: Geometry-Grounded and Density-Aware Gated Fusion for 3D Occupancy Prediction","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-05-19T21:19:17.894557Z"},"links":{"citing_paper":"/paper/2605.16911"},"observation_digest":"sha256:d77bedc8a71f48a31064504dfd2f680740d852bab2ff8555d68f8e7f20594549","observation_id":"4a76f52a-a07a-4da4-9002-cf8056d94ece","resolution":{"observed_at":"2026-05-19T21:23:14.353409Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":"Lift, splat, shoot: Encoding images from arbitrary camera rigs by implicitly unprojecting to 3D","venue":null,"work_id":"eaf57c38-1704-47b9-82b8-b8b99f8ae0d4","year":2020},"citing_paper":{"arxiv_id":"2605.16911","last_updated":"2026-05-16T09:51:04Z","snapshot_observed_at":"2026-07-06T23:27:57.805018Z","submitted_at":"2026-05-16T09:51:04Z","title":"VGGT-Occ: Geometry-Grounded and Density-Aware Gated Fusion for 3D Occupancy Prediction","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-05-19T21:19:17.894557Z"},"links":{"citing_paper":"/paper/2605.16911"},"observation_digest":"sha256:6d8720a1358ca42f0f2db7cb84cd101c952d3e04ef65bd38ee9e5c86978b6acc","observation_id":"7cb26eae-6cbb-4f81-8864-f3963de22c88","resolution":{"observed_at":"2026-05-19T21:23:14.337650Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2512.00300","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"TGSFormer: Scalable temporal Gaussian splatting for embodied semantic scene completion","venue":null,"work_id":"7e8a47de-278b-470f-9e74-247452cf09c5","year":2025},"citing_paper":{"arxiv_id":"2605.16911","last_updated":"2026-05-16T09:51:04Z","snapshot_observed_at":"2026-07-06T23:27:57.805018Z","submitted_at":"2026-05-16T09:51:04Z","title":"VGGT-Occ: Geometry-Grounded and Density-Aware Gated Fusion for 3D Occupancy Prediction","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-05-19T21:19:17.894557Z"},"links":{"citing_paper":"/paper/2605.16911"},"observation_digest":"sha256:60a35bc54381802d284fabd391bf282a435de1599aab768b00209ed960023328","observation_id":"1f4b042f-7fdb-439b-8868-97da23308e87","resolution":{"observed_at":"2026-05-19T21:22:48.019391Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":"SplatSSC: Decoupled depth-guided Gaussian splatting for semantic scene completion","venue":null,"work_id":"464094fb-5dd3-418f-b4b3-a4af7d6f113c","year":2026},"citing_paper":{"arxiv_id":"2605.16911","last_updated":"2026-05-16T09:51:04Z","snapshot_observed_at":"2026-07-06T23:27:57.805018Z","submitted_at":"2026-05-16T09:51:04Z","title":"VGGT-Occ: Geometry-Grounded and Density-Aware Gated Fusion for 3D Occupancy Prediction","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-05-19T21:19:17.894557Z"},"links":{"citing_paper":"/paper/2605.16911"},"observation_digest":"sha256:2fdbfc7d1d1cb1b75bf09d61f65f775e71b7e0ec7e5aec3bd56c414e42d6c4cf","observation_id":"ab63eefe-0b9c-484e-8b4d-4796a98212cd","resolution":{"observed_at":"2026-05-19T21:23:14.330948Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":"Orthographic feature transform for monocular 3D object detection","venue":null,"work_id":"67f70289-3beb-4bfe-b6f5-786174aa1f42","year":2019},"citing_paper":{"arxiv_id":"2605.16911","last_updated":"2026-05-16T09:51:04Z","snapshot_observed_at":"2026-07-06T23:27:57.805018Z","submitted_at":"2026-05-16T09:51:04Z","title":"VGGT-Occ: Geometry-Grounded and Density-Aware Gated Fusion for 3D Occupancy Prediction","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-05-19T21:19:17.894557Z"},"links":{"citing_paper":"/paper/2605.16911"},"observation_digest":"sha256:9f445173ff0118f2916b3ef776282e28ac69a4f218f4468673bdcd1d6a422d8c","observation_id":"68dddcbb-0803-4712-9d90-44a5b4fc9c12","resolution":{"observed_at":"2026-05-19T21:23:14.308450Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":"BePo: Dual representation for 3D occupancy prediction","venue":null,"work_id":"644687d3-fbc4-4ab4-98ec-19532d87fe5f","year":2026},"citing_paper":{"arxiv_id":"2605.16911","last_updated":"2026-05-16T09:51:04Z","snapshot_observed_at":"2026-07-06T23:27:57.805018Z","submitted_at":"2026-05-16T09:51:04Z","title":"VGGT-Occ: Geometry-Grounded and Density-Aware Gated Fusion for 3D Occupancy Prediction","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-05-19T21:19:17.894557Z"},"links":{"citing_paper":"/paper/2605.16911"},"observation_digest":"sha256:88763bd7727c3a5ac058361ba8376ca5607dbf8859bb4931ee8647a18687a27a","observation_id":"c9b19f68-6cac-4b0d-8b86-ff6eb498200f","resolution":{"observed_at":"2026-05-19T21:23:14.367224Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":"CTF-Occ: Coarse-to-fine 3D occupancy prediction","venue":null,"work_id":"bde67461-eb05-45c6-9573-bdeab8883300","year":2023},"citing_paper":{"arxiv_id":"2605.16911","last_updated":"2026-05-16T09:51:04Z","snapshot_observed_at":"2026-07-06T23:27:57.805018Z","submitted_at":"2026-05-16T09:51:04Z","title":"VGGT-Occ: Geometry-Grounded and Density-Aware Gated Fusion for 3D Occupancy Prediction","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-05-19T21:19:17.894557Z"},"links":{"citing_paper":"/paper/2605.16911"},"observation_digest":"sha256:776972633cb7a3d4f4bbc77cb94102e285bce4f4701b403205da0df90c4c73e3","observation_id":"d7c690b7-55fa-49f0-a727-43c3135eb6be","resolution":{"observed_at":"2026-05-19T21:23:14.369468Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":"Occ3D: A large-scale 3D occupancy prediction benchmark for autonomous driving","venue":null,"work_id":"31dbde99-e2ab-4de1-aea6-1cd016f1c3dc","year":2023},"citing_paper":{"arxiv_id":"2605.16911","last_updated":"2026-05-16T09:51:04Z","snapshot_observed_at":"2026-07-06T23:27:57.805018Z","submitted_at":"2026-05-16T09:51:04Z","title":"VGGT-Occ: Geometry-Grounded and Density-Aware Gated Fusion for 3D Occupancy Prediction","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-05-19T21:19:17.894557Z"},"links":{"citing_paper":"/paper/2605.16911"},"observation_digest":"sha256:0e8500ca8b5c0d9b2067e4e86bb62c71bbd010c0707c15be8c0a150110529546","observation_id":"0f4c0d7f-cc05-496d-a4c0-cfb0e8d44930","resolution":{"observed_at":"2026-05-19T21:23:14.322418Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":"VGGT: Visual geometry grounded transformer","venue":null,"work_id":"3b018f01-e168-4651-9d49-eb2326662a82","year":2025},"citing_paper":{"arxiv_id":"2605.16911","last_updated":"2026-05-16T09:51:04Z","snapshot_observed_at":"2026-07-06T23:27:57.805018Z","submitted_at":"2026-05-16T09:51:04Z","title":"VGGT-Occ: Geometry-Grounded and Density-Aware Gated Fusion for 3D Occupancy Prediction","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-05-19T21:19:17.894557Z"},"links":{"citing_paper":"/paper/2605.16911"},"observation_digest":"sha256:b9daeefcf1378ad7e1249331f9156c9e8278a303865cbc2732fcea50ceccfff9","observation_id":"2701d5f7-b9a0-4949-93c4-f19468a0209a","resolution":{"observed_at":"2026-05-19T21:23:14.355156Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":"DETR3D: 3D object detection from multi-view images via 3D-to-2D queries","venue":null,"work_id":"a9865626-4b28-4ad0-8c35-b737a4417ecb","year":2021},"citing_paper":{"arxiv_id":"2605.16911","last_updated":"2026-05-16T09:51:04Z","snapshot_observed_at":"2026-07-06T23:27:57.805018Z","submitted_at":"2026-05-16T09:51:04Z","title":"VGGT-Occ: Geometry-Grounded and Density-Aware Gated Fusion for 3D Occupancy Prediction","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-05-19T21:19:17.894557Z"},"links":{"citing_paper":"/paper/2605.16911"},"observation_digest":"sha256:ce8468eb1ed0ef1ea8c7a9e1f845a11c336900e5c3b55d87831f0d365234d73a","observation_id":"930064a9-673f-41a0-bd41-1ce4cb41b113","resolution":{"observed_at":"2026-05-19T21:23:14.316805Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":"PanoOcc: Unified occupancy representation for camera-based 3D panoptic segmentation","venue":null,"work_id":"70c500d7-1b6a-40a1-acc0-9d366f7e998c","year":2024},"citing_paper":{"arxiv_id":"2605.16911","last_updated":"2026-05-16T09:51:04Z","snapshot_observed_at":"2026-07-06T23:27:57.805018Z","submitted_at":"2026-05-16T09:51:04Z","title":"VGGT-Occ: Geometry-Grounded and Density-Aware Gated Fusion for 3D Occupancy Prediction","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-05-19T21:19:17.894557Z"},"links":{"citing_paper":"/paper/2605.16911"},"observation_digest":"sha256:84a32abc7ecad410cac62c03a6c3f58c8dd7bdf6d0a01d6c5bfa5422e72b5a32","observation_id":"19bb12e1-1dbe-445f-a806-a4896ecc6bc3","resolution":{"observed_at":"2026-05-19T21:23:14.348834Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":"SurroundOcc: Multi-camera 3D occupancy prediction for autonomous driving","venue":null,"work_id":"6c6078f7-ec3d-46e1-82ba-e9c7054a659a","year":2023},"citing_paper":{"arxiv_id":"2605.16911","last_updated":"2026-05-16T09:51:04Z","snapshot_observed_at":"2026-07-06T23:27:57.805018Z","submitted_at":"2026-05-16T09:51:04Z","title":"VGGT-Occ: Geometry-Grounded and Density-Aware Gated Fusion for 3D Occupancy Prediction","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-05-19T21:19:17.894557Z"},"links":{"citing_paper":"/paper/2605.16911"},"observation_digest":"sha256:8a6bdf7dbf55764a0a52631ceb66581217ce57c760db7e2f0e366a40486b096f","observation_id":"11d6d7cb-eb1c-44a3-beca-8267420dabc0","resolution":{"observed_at":"2026-05-19T21:23:14.312530Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":"A survey on occupancy perception for autonomous driving: The information fusion perspective.Information Fusion, 114:102671","venue":null,"work_id":"2148e856-3cdc-48ad-a130-f1a935945a8a","year":2025},"citing_paper":{"arxiv_id":"2605.16911","last_updated":"2026-05-16T09:51:04Z","snapshot_observed_at":"2026-07-06T23:27:57.805018Z","submitted_at":"2026-05-16T09:51:04Z","title":"VGGT-Occ: Geometry-Grounded and Density-Aware Gated Fusion for 3D Occupancy Prediction","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-05-19T21:19:17.894557Z"},"links":{"citing_paper":"/paper/2605.16911"},"observation_digest":"sha256:6c3b3ef9d77760ae68b37785c5ff49f021875b60c8694047f936b24fbe30e75d","observation_id":"e4b32152-bdf5-43de-ae88-dbede3d62c6c","resolution":{"observed_at":"2026-05-19T21:23:14.374345Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":"Depth anything: Unleashing the power of large-scale unlabeled data","venue":null,"work_id":"8364f97d-c286-4f8d-aa4b-c749b3c1c758","year":2024},"citing_paper":{"arxiv_id":"2605.16911","last_updated":"2026-05-16T09:51:04Z","snapshot_observed_at":"2026-07-06T23:27:57.805018Z","submitted_at":"2026-05-16T09:51:04Z","title":"VGGT-Occ: Geometry-Grounded and Density-Aware Gated Fusion for 3D Occupancy Prediction","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-05-19T21:19:17.894557Z"},"links":{"citing_paper":"/paper/2605.16911"},"observation_digest":"sha256:3d09f3b54240c02be777c7c942dcae13fb10667a035283580bcd5d351f14e1b1","observation_id":"d957cd80-257a-4f69-ac6f-9f110b17a310","resolution":{"observed_at":"2026-05-19T21:23:14.344074Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2311.12058","last_updated":"2023-11-18T15:28:09Z","snapshot_observed_at":"2026-07-06T16:50:10.189504Z","submitted_at":"2023-11-18T15:28:09Z","title":"FlashOcc: Fast and Memory-Efficient Occupancy Prediction via Channel-to-Height Plugin","version":1},"cited_work":{"arxiv_id":"2311.12058","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2311.12058","snapshot_observed_at":"2026-07-04T10:49:46.248387Z","title":"FlashOcc: Fast and memory-efficient occupancy prediction via channel-to-height plugin","venue":null,"work_id":"2866514a-103c-4d8a-ab3b-4870b9f5b894","year":2023},"citing_paper":{"arxiv_id":"2605.16911","last_updated":"2026-05-16T09:51:04Z","snapshot_observed_at":"2026-07-06T23:27:57.805018Z","submitted_at":"2026-05-16T09:51:04Z","title":"VGGT-Occ: Geometry-Grounded and Density-Aware Gated Fusion for 3D Occupancy Prediction","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-05-19T21:19:17.894557Z"},"links":{"cited_paper":"/paper/2311.12058","citing_paper":"/paper/2605.16911"},"observation_digest":"sha256:23ddbb3a81d52df682f81fe2ac7bbfd7faef662fd359c8d2c4775f75cb0ffc77","observation_id":"370eed1a-166f-46d1-94e9-c836bc0f496f","resolution":{"observed_at":"2026-05-19T21:22:48.006509Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":"SQS: Enhancing sparse perception models via query-based splatting in autonomous driving","venue":null,"work_id":"02a5f42b-c02d-40af-884c-9e24f10a09e5","year":2025},"citing_paper":{"arxiv_id":"2605.16911","last_updated":"2026-05-16T09:51:04Z","snapshot_observed_at":"2026-07-06T23:27:57.805018Z","submitted_at":"2026-05-16T09:51:04Z","title":"VGGT-Occ: Geometry-Grounded and Density-Aware Gated Fusion for 3D Occupancy Prediction","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-05-19T21:19:17.894557Z"},"links":{"citing_paper":"/paper/2605.16911"},"observation_digest":"sha256:265c8f884c3f3950627281da9d44fe7541d1cc3fc660bd6b57c67ae8cbd520e1","observation_id":"f04a7b29-60a2-4ce9-9bbe-886ae22d5218","resolution":{"observed_at":"2026-05-19T21:23:14.360435Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":"Vision-based 3D occupancy prediction in autonomous driving: a review and outlook.Frontiers of Computer Science, 20:2001301","venue":null,"work_id":"c07578c6-9854-4b7b-af3c-b97dae1e602b","year":2026},"citing_paper":{"arxiv_id":"2605.16911","last_updated":"2026-05-16T09:51:04Z","snapshot_observed_at":"2026-07-06T23:27:57.805018Z","submitted_at":"2026-05-16T09:51:04Z","title":"VGGT-Occ: Geometry-Grounded and Density-Aware Gated Fusion for 3D Occupancy Prediction","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-05-19T21:19:17.894557Z"},"links":{"citing_paper":"/paper/2605.16911"},"observation_digest":"sha256:503524fa013058c09fff6416e5f7d69f1e3e291b02bfad8ad2e7b2bd7e3bfd25","observation_id":"30829755-94b5-45b5-b74c-5ab8385a041a","resolution":{"observed_at":"2026-05-19T21:23:14.270949Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":"OccFormer: Dual-path transformer for vision- based 3D semantic occupancy prediction","venue":null,"work_id":"901c42e7-549e-4348-b975-5c8e26676af7","year":2023},"citing_paper":{"arxiv_id":"2605.16911","last_updated":"2026-05-16T09:51:04Z","snapshot_observed_at":"2026-07-06T23:27:57.805018Z","submitted_at":"2026-05-16T09:51:04Z","title":"VGGT-Occ: Geometry-Grounded and Density-Aware Gated Fusion for 3D Occupancy Prediction","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-05-19T21:19:17.894557Z"},"links":{"citing_paper":"/paper/2605.16911"},"observation_digest":"sha256:c3d83ccdaf247dffe47b66cb7ac8eda9dd4f207bc64ad3c9c0380b410e9d9c40","observation_id":"966bc8c3-9de3-47f0-a0e9-6543e30a5060","resolution":{"observed_at":"2026-05-19T21:23:14.335196Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":"GaussianFormer3D: Multi-modal Gaussian- based semantic occupancy prediction with 3D deformable attention","venue":null,"work_id":"0f1dd507-7664-4556-a023-da8a01da0109","year":2026},"citing_paper":{"arxiv_id":"2605.16911","last_updated":"2026-05-16T09:51:04Z","snapshot_observed_at":"2026-07-06T23:27:57.805018Z","submitted_at":"2026-05-16T09:51:04Z","title":"VGGT-Occ: Geometry-Grounded and Density-Aware Gated Fusion for 3D Occupancy Prediction","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-05-19T21:19:17.894557Z"},"links":{"citing_paper":"/paper/2605.16911"},"observation_digest":"sha256:2fd15b89f84e71f19e8bfcc228c6e759c9a0a31a18673eefe854f5dc242d8aad","observation_id":"418f5a15-4cae-4e98-b27d-115ebf469344","resolution":{"observed_at":"2026-05-19T21:23:14.302711Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":"Deformable DETR: Deformable transformers for end-to-end object detection","venue":null,"work_id":"155b4dd8-bf9a-45eb-8a30-468fb77965d7","year":2021},"citing_paper":{"arxiv_id":"2605.16911","last_updated":"2026-05-16T09:51:04Z","snapshot_observed_at":"2026-07-06T23:27:57.805018Z","submitted_at":"2026-05-16T09:51:04Z","title":"VGGT-Occ: Geometry-Grounded and Density-Aware Gated Fusion for 3D Occupancy Prediction","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-05-19T21:19:17.894557Z"},"links":{"citing_paper":"/paper/2605.16911"},"observation_digest":"sha256:288a11f6b205de004bd1886e1d49e9c7a0f7162680bf7d54b1be36060c300903","observation_id":"457786ff-5969-4422-ad73-1bcf9774eb17","resolution":{"observed_at":"2026-05-19T21:23:14.279856Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":"Dr.Occ: Depth- and region-guided 3D occupancy from surround-view cameras for autonomous driving","venue":null,"work_id":"0e71dfcb-d58e-49eb-b6bc-1b6b6cbfbeec","year":2026},"citing_paper":{"arxiv_id":"2605.16911","last_updated":"2026-05-16T09:51:04Z","snapshot_observed_at":"2026-07-06T23:27:57.805018Z","submitted_at":"2026-05-16T09:51:04Z","title":"VGGT-Occ: Geometry-Grounded and Density-Aware Gated Fusion for 3D Occupancy Prediction","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-05-19T21:19:17.894557Z"},"links":{"citing_paper":"/paper/2605.16911"},"observation_digest":"sha256:ac6d358613b8e2934ede434069f77d87f081b27ff9c8d257ddf2206b1c2672e1","observation_id":"33bec7fc-13df-43db-94e0-1f16086d067c","resolution":{"observed_at":"2026-05-19T21:23:14.289630Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":"QuadricFormer: Scene as superquadrics for 3D semantic occupancy prediction","venue":null,"work_id":"ebfe9226-023c-4d0f-840d-b87056113d70","year":2025},"citing_paper":{"arxiv_id":"2605.16911","last_updated":"2026-05-16T09:51:04Z","snapshot_observed_at":"2026-07-06T23:27:57.805018Z","submitted_at":"2026-05-16T09:51:04Z","title":"VGGT-Occ: Geometry-Grounded and Density-Aware Gated Fusion for 3D Occupancy Prediction","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-05-19T21:19:17.894557Z"},"links":{"citing_paper":"/paper/2605.16911"},"observation_digest":"sha256:0c97c477924ec72e462d7922c670c88ae6c33cc69f5a4335030d448777353b9f","observation_id":"d7483885-4a35-448d-9c7e-7fc33553ef8b","resolution":{"observed_at":"2026-05-19T21:23:14.362932Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":"GaussianWorld: Gaussian world model for streaming 3D occupancy prediction","venue":null,"work_id":"01fb83c6-e776-4b3b-a6c1-5dcf42c80a11","year":2025},"citing_paper":{"arxiv_id":"2605.16911","last_updated":"2026-05-16T09:51:04Z","snapshot_observed_at":"2026-07-06T23:27:57.805018Z","submitted_at":"2026-05-16T09:51:04Z","title":"VGGT-Occ: Geometry-Grounded and Density-Aware Gated Fusion for 3D Occupancy Prediction","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-05-19T21:19:17.894557Z"},"links":{"citing_paper":"/paper/2605.16911"},"observation_digest":"sha256:c0863c4ea4e9c41bc6d3485e89063241f60f78c8c65acf93aea1c129c6dae5b9","observation_id":"46951370-ff8a-48f0-94c9-1ccb6a8395b7","resolution":{"observed_at":"2026-05-19T21:23:14.325330Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2605.16911","last_updated":"2026-05-16T09:51:04Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-07-06T23:27:57.805018Z","submitted_at":"2026-05-16T09:51:04Z","title":"VGGT-Occ: Geometry-Grounded and Density-Aware Gated Fusion for 3D Occupancy Prediction"},"reference_resolution":{"displayed":50,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":9,"verified_fuzzy":41},"total_outbound_references":50},"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":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"thesis":"As of 5 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 0 inbound Pith citation observations for arXiv:2605.16911."}