{"as_of":"2026-08-09T13:02:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:e55edca3ddd3724936f0eb13444da9828368c4c556df211b0ac376eae66f041f","coverage":[{"denominator":48,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":48,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T16:59:47.495712Z","state":"measured"},{"denominator":48,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":48,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+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/2507.12095/citation-record","integrity":"/paper/2507.12095/integrity","json":"/paper/2507.12095/citation-record.json","paper":"/paper/2507.12095"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T16:59:55.632873Z","title":"Nerf: Representing scenes as neural radiance fields for view synthesis,","venue":null,"work_id":"f6583e47-ad2b-4407-8e9e-18c6425b4757","year":2021},"citing_paper":{"arxiv_id":"2507.12095","last_updated":"2025-07-16T10:04:35Z","snapshot_observed_at":"2026-08-06T16:51:34.198333Z","submitted_at":"2025-07-16T10:04:35Z","title":"BRUM: Robust 3D Vehicle Reconstruction from 360 Sparse Images","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T16:59:42.424387Z"},"links":{"citing_paper":"/paper/2507.12095"},"observation_digest":"sha256:0948ca6590d17ef27af9aaf3872f42b0cc9bc8b19e4017258f423782e168db72","observation_id":"a0020ef7-a10d-4403-b213-3de70ad32630","resolution":{"observed_at":"2026-08-06T16:59:55.769971Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T16:59:55.220049Z","title":"3d gaussian splatting for real-time radiance field rendering","venue":null,"work_id":"57779ed1-24bd-4009-ac5f-5dc7a1da6086","year":2023},"citing_paper":{"arxiv_id":"2507.12095","last_updated":"2025-07-16T10:04:35Z","snapshot_observed_at":"2026-08-06T16:51:34.198333Z","submitted_at":"2025-07-16T10:04:35Z","title":"BRUM: Robust 3D Vehicle Reconstruction from 360 Sparse Images","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T16:59:42.474311Z"},"links":{"citing_paper":"/paper/2507.12095"},"observation_digest":"sha256:7bc0794bf5f07c650b0ef989d35d8573ad8cba67d834cab3ed77ebf70fbc4978","observation_id":"2785d73b-e3ae-487a-9204-dcc1b491995c","resolution":{"observed_at":"2026-08-06T16:59:55.479795Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T16:59:55.069947Z","title":"Carpatch: A synthetic benchmark for radiance field evaluation on vehicle components,","venue":null,"work_id":"d81b584c-92af-4fff-8260-968ef6f26e76","year":2023},"citing_paper":{"arxiv_id":"2507.12095","last_updated":"2025-07-16T10:04:35Z","snapshot_observed_at":"2026-08-06T16:51:34.198333Z","submitted_at":"2025-07-16T10:04:35Z","title":"BRUM: Robust 3D Vehicle Reconstruction from 360 Sparse Images","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-06T16:59:42.557674Z"},"links":{"citing_paper":"/paper/2507.12095"},"observation_digest":"sha256:755018d40fe41713f2497e1393bc6e34d3ce7514c221bda0e2d8da374a8c66b5","observation_id":"ebcaf0a0-afb7-4ebb-bfb1-4461b80b7b69","resolution":{"observed_at":"2026-08-06T16:59:55.138982Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T16:59:54.899005Z","title":"Kronc: Keypoint-based robust camera optimization for 3d car reconstruction,","venue":null,"work_id":"b682566e-a632-4789-ab7e-cf58c5985ea7","year":2024},"citing_paper":{"arxiv_id":"2507.12095","last_updated":"2025-07-16T10:04:35Z","snapshot_observed_at":"2026-08-06T16:51:34.198333Z","submitted_at":"2025-07-16T10:04:35Z","title":"BRUM: Robust 3D Vehicle Reconstruction from 360 Sparse Images","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T16:59:42.655056Z"},"links":{"citing_paper":"/paper/2507.12095"},"observation_digest":"sha256:cfbdb83093133cab70b4e2b474d1f47fed08b10854f5f37319bab312c392ed0c","observation_id":"ff5f183d-5e9d-43f2-83cc-5f2f48c55d8f","resolution":{"observed_at":"2026-08-06T16:59:54.966103Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T16:59:54.770478Z","title":"Neurad: Neural rendering for autonomous driving,","venue":null,"work_id":"a6ad34af-cda5-4df2-95e0-8688e7b75be2","year":2024},"citing_paper":{"arxiv_id":"2507.12095","last_updated":"2025-07-16T10:04:35Z","snapshot_observed_at":"2026-08-06T16:51:34.198333Z","submitted_at":"2025-07-16T10:04:35Z","title":"BRUM: Robust 3D Vehicle Reconstruction from 360 Sparse Images","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T16:59:42.763445Z"},"links":{"citing_paper":"/paper/2507.12095"},"observation_digest":"sha256:d2e6488b9fb8d44f44f7f4ccd1ce0f3e78d4e0dde8fad232cda7d7af37c5e0e7","observation_id":"44caf22b-c65d-4b2d-8961-197843bb1b56","resolution":{"observed_at":"2026-08-06T16:59:54.814391Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T16:59:54.592696Z","title":"Driv- inggaussian: Composite gaussian splatting for surrounding dynamic autonomous driving scenes,","venue":null,"work_id":"25154d0a-d971-4b73-a89a-b2da8393f545","year":2024},"citing_paper":{"arxiv_id":"2507.12095","last_updated":"2025-07-16T10:04:35Z","snapshot_observed_at":"2026-08-06T16:51:34.198333Z","submitted_at":"2025-07-16T10:04:35Z","title":"BRUM: Robust 3D Vehicle Reconstruction from 360 Sparse Images","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-06T16:59:42.863420Z"},"links":{"citing_paper":"/paper/2507.12095"},"observation_digest":"sha256:62bba25a3c340f6df9cda7837edafe73357448facc5f5c70d515bc36d571ba98","observation_id":"80602c1a-38b5-49f7-86a1-9298fcc26049","resolution":{"observed_at":"2026-08-06T16:59:54.667334Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T16:59:54.392925Z","title":"Mega-nerf: Scalable construction of large-scale nerfs for virtual fly-throughs,","venue":null,"work_id":"9b1b1952-4ea7-4cd1-b575-5cd337449beb","year":2022},"citing_paper":{"arxiv_id":"2507.12095","last_updated":"2025-07-16T10:04:35Z","snapshot_observed_at":"2026-08-06T16:51:34.198333Z","submitted_at":"2025-07-16T10:04:35Z","title":"BRUM: Robust 3D Vehicle Reconstruction from 360 Sparse Images","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T16:59:42.956942Z"},"links":{"citing_paper":"/paper/2507.12095"},"observation_digest":"sha256:bd2e92c18c7ec1fd8f4258deccb20a0305621c064266a05c5f9241bdc5861910","observation_id":"aed37345-0b61-4a4e-a873-126716cb61b1","resolution":{"observed_at":"2026-08-06T16:59:54.485851Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T16:59:54.215881Z","title":"Citydreamer: Compositional generative model of unbounded 3d cities,","venue":null,"work_id":"dde8ca21-6c49-406f-b5b8-0ebcac9dd008","year":2024},"citing_paper":{"arxiv_id":"2507.12095","last_updated":"2025-07-16T10:04:35Z","snapshot_observed_at":"2026-08-06T16:51:34.198333Z","submitted_at":"2025-07-16T10:04:35Z","title":"BRUM: Robust 3D Vehicle Reconstruction from 360 Sparse Images","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T16:59:43.085378Z"},"links":{"citing_paper":"/paper/2507.12095"},"observation_digest":"sha256:2dda2f813bc9128bd181270887753f0c0b88663c89b17e4826b3164c6766fe2c","observation_id":"97f31938-05f5-4a06-a307-a4ab29241678","resolution":{"observed_at":"2026-08-06T16:59:54.309877Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T16:59:54.091533Z","title":"Citygaussian: Real-time high-quality large-scale scene rendering with gaussians,","venue":null,"work_id":"5b8ca898-85a5-4dd9-8f49-80c9f9373927","year":2024},"citing_paper":{"arxiv_id":"2507.12095","last_updated":"2025-07-16T10:04:35Z","snapshot_observed_at":"2026-08-06T16:51:34.198333Z","submitted_at":"2025-07-16T10:04:35Z","title":"BRUM: Robust 3D Vehicle Reconstruction from 360 Sparse Images","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T16:59:43.209647Z"},"links":{"citing_paper":"/paper/2507.12095"},"observation_digest":"sha256:3f91c9ed44e914b4c584ebbf41f93cd65ecf6463c929e9616ce6399537158117","observation_id":"ec0f04be-67d6-4c4d-9bec-2554b9563a83","resolution":{"observed_at":"2026-08-06T16:59:54.141721Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T16:59:53.944547Z","title":"Structure-from-motion revisited,","venue":null,"work_id":"a4cc754c-513d-40bc-a32d-0cee81e9a96e","year":2016},"citing_paper":{"arxiv_id":"2507.12095","last_updated":"2025-07-16T10:04:35Z","snapshot_observed_at":"2026-08-06T16:51:34.198333Z","submitted_at":"2025-07-16T10:04:35Z","title":"BRUM: Robust 3D Vehicle Reconstruction from 360 Sparse Images","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T16:59:43.327959Z"},"links":{"citing_paper":"/paper/2507.12095"},"observation_digest":"sha256:842b177fff981dc46136d6deaba987bb7f0452145111eae31df8ca02495b7f0f","observation_id":"d6d555a2-8d80-4859-a675-6c8686203139","resolution":{"observed_at":"2026-08-06T16:59:54.023288Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T16:59:53.771188Z","title":"Sparf: Neural radiance fields from sparse and noisy poses,","venue":null,"work_id":"510a0d34-d296-4abf-8945-d3d2baa61949","year":2023},"citing_paper":{"arxiv_id":"2507.12095","last_updated":"2025-07-16T10:04:35Z","snapshot_observed_at":"2026-08-06T16:51:34.198333Z","submitted_at":"2025-07-16T10:04:35Z","title":"BRUM: Robust 3D Vehicle Reconstruction from 360 Sparse Images","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T16:59:43.417585Z"},"links":{"citing_paper":"/paper/2507.12095"},"observation_digest":"sha256:bdd4ce72e64c6da6fdd6f2a50697c1ad7835380943263327659439740583795c","observation_id":"d021a343-721b-4389-ab87-7901525ea771","resolution":{"observed_at":"2026-08-06T16:59:53.858538Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T16:59:53.631116Z","title":"Dust3r: Geometric 3d vision made easy,","venue":null,"work_id":"883253b6-7c20-406c-9b37-a5e50d4797e8","year":2024},"citing_paper":{"arxiv_id":"2507.12095","last_updated":"2025-07-16T10:04:35Z","snapshot_observed_at":"2026-08-06T16:51:34.198333Z","submitted_at":"2025-07-16T10:04:35Z","title":"BRUM: Robust 3D Vehicle Reconstruction from 360 Sparse Images","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-06T16:59:43.525911Z"},"links":{"citing_paper":"/paper/2507.12095"},"observation_digest":"sha256:dc885b08c86b7230fc126b938350d35ffefef59daec8fb5f92cda0198bf7b020","observation_id":"e0821caf-2d6e-46fe-9299-542f39e94f6e","resolution":{"observed_at":"2026-08-06T16:59:53.718708Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T16:59:53.482610Z","title":"Instant neural graphics primitives with a multiresolution hash encoding,","venue":null,"work_id":"227c6b85-8f7f-4d95-bc45-044ec113201a","year":2022},"citing_paper":{"arxiv_id":"2507.12095","last_updated":"2025-07-16T10:04:35Z","snapshot_observed_at":"2026-08-06T16:51:34.198333Z","submitted_at":"2025-07-16T10:04:35Z","title":"BRUM: Robust 3D Vehicle Reconstruction from 360 Sparse Images","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-06T16:59:43.607759Z"},"links":{"citing_paper":"/paper/2507.12095"},"observation_digest":"sha256:97b475406f9600c5eb0ba90e6146804807ac4ff6a59362ae8cff9fe74fa38501","observation_id":"a3ef447b-6137-489e-a59a-f46ac479e493","resolution":{"observed_at":"2026-08-06T16:59:53.541303Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T16:59:53.295981Z","title":"Plenoxels: Radiance fields without neural networks,","venue":null,"work_id":"6fbfbb65-0af5-4927-884a-3efed4cf14da","year":2022},"citing_paper":{"arxiv_id":"2507.12095","last_updated":"2025-07-16T10:04:35Z","snapshot_observed_at":"2026-08-06T16:51:34.198333Z","submitted_at":"2025-07-16T10:04:35Z","title":"BRUM: Robust 3D Vehicle Reconstruction from 360 Sparse Images","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T16:59:43.698127Z"},"links":{"citing_paper":"/paper/2507.12095"},"observation_digest":"sha256:96896530dea53272c0499825f0c0ef30cc2a79e7dcd9c51140172dba3ee7e982","observation_id":"e00b704c-6724-4346-891e-e930f701ddce","resolution":{"observed_at":"2026-08-06T16:59:53.381703Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T16:59:53.128090Z","title":"Barf: Bundle- adjusting neural radiance fields,","venue":null,"work_id":"58b0bb59-0b8a-4b13-8d8e-1fb8f415e7b5","year":2021},"citing_paper":{"arxiv_id":"2507.12095","last_updated":"2025-07-16T10:04:35Z","snapshot_observed_at":"2026-08-06T16:51:34.198333Z","submitted_at":"2025-07-16T10:04:35Z","title":"BRUM: Robust 3D Vehicle Reconstruction from 360 Sparse Images","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-06T16:59:43.794517Z"},"links":{"citing_paper":"/paper/2507.12095"},"observation_digest":"sha256:4051df61abeaafcfbfe094390a214cf523a8b8aebb400b925ef4bdd6809b1069","observation_id":"3333e0fa-87dc-4690-9995-d3bc6bd6ad68","resolution":{"observed_at":"2026-08-06T16:59:53.200269Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T16:59:52.998054Z","title":"Local-to-global registration for bundle-adjusting neural radiance fields,","venue":null,"work_id":"afa165bb-9261-4c3b-9b0f-bd2799eafc47","year":2023},"citing_paper":{"arxiv_id":"2507.12095","last_updated":"2025-07-16T10:04:35Z","snapshot_observed_at":"2026-08-06T16:51:34.198333Z","submitted_at":"2025-07-16T10:04:35Z","title":"BRUM: Robust 3D Vehicle Reconstruction from 360 Sparse Images","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-06T16:59:43.906562Z"},"links":{"citing_paper":"/paper/2507.12095"},"observation_digest":"sha256:afaa3bb50b4dcd11a8bbeb0421dba17774497ab27a566f3ca04725538afeba35","observation_id":"2039299f-6177-4cb6-878f-da53f1d7a897","resolution":{"observed_at":"2026-08-06T16:59:53.068049Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T16:59:52.864273Z","title":"Nope-nerf: Optimising neural radiance field with no pose prior,","venue":null,"work_id":"1e8dc526-fa05-4005-bad1-883c39992dfc","year":2023},"citing_paper":{"arxiv_id":"2507.12095","last_updated":"2025-07-16T10:04:35Z","snapshot_observed_at":"2026-08-06T16:51:34.198333Z","submitted_at":"2025-07-16T10:04:35Z","title":"BRUM: Robust 3D Vehicle Reconstruction from 360 Sparse Images","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-06T16:59:44.016934Z"},"links":{"citing_paper":"/paper/2507.12095"},"observation_digest":"sha256:bd51d85b67ad1cde976708d74366bd30e585ba8f81312b59a05efcdccd4dfb1a","observation_id":"2c9cbecf-5e1a-4a53-92e4-cc6b933fd612","resolution":{"observed_at":"2026-08-06T16:59:52.943622Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T16:59:52.695004Z","title":"Neural refinement for absolute pose regression with fea- ture synthesis,","venue":null,"work_id":"2220dbb8-193b-4acc-bc73-bff7c85ed1da","year":2024},"citing_paper":{"arxiv_id":"2507.12095","last_updated":"2025-07-16T10:04:35Z","snapshot_observed_at":"2026-08-06T16:51:34.198333Z","submitted_at":"2025-07-16T10:04:35Z","title":"BRUM: Robust 3D Vehicle Reconstruction from 360 Sparse Images","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-06T16:59:44.137485Z"},"links":{"citing_paper":"/paper/2507.12095"},"observation_digest":"sha256:f5e501f1a97249e4e0388035365ca693574b2deddaaa5e26d66b3d987b7ca789","observation_id":"4642c1c4-7a5f-492a-b171-ffea4c562bc0","resolution":{"observed_at":"2026-08-06T16:59:52.773245Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T16:59:52.517707Z","title":"Compact 3d scene representation via self-organizing gaussian grids,","venue":null,"work_id":"c8a578d9-e2bf-4847-a606-2c0a00400fd5","year":2024},"citing_paper":{"arxiv_id":"2507.12095","last_updated":"2025-07-16T10:04:35Z","snapshot_observed_at":"2026-08-06T16:51:34.198333Z","submitted_at":"2025-07-16T10:04:35Z","title":"BRUM: Robust 3D Vehicle Reconstruction from 360 Sparse Images","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-06T16:59:44.268344Z"},"links":{"citing_paper":"/paper/2507.12095"},"observation_digest":"sha256:29774afbfe4cf7e7626fe3f26f22b8e7a3c3fc6b5068bfaf4fb8c27abc90eba5","observation_id":"4d4f7fa0-173e-4294-a046-a33d3054ad4f","resolution":{"observed_at":"2026-08-06T16:59:52.588211Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T16:59:52.374758Z","title":"Compressed 3d gaussian splatting for accelerated novel view synthesis,","venue":null,"work_id":"e6bedc0b-1e3b-4614-860d-e150d659b251","year":2024},"citing_paper":{"arxiv_id":"2507.12095","last_updated":"2025-07-16T10:04:35Z","snapshot_observed_at":"2026-08-06T16:51:34.198333Z","submitted_at":"2025-07-16T10:04:35Z","title":"BRUM: Robust 3D Vehicle Reconstruction from 360 Sparse Images","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-06T16:59:44.384085Z"},"links":{"citing_paper":"/paper/2507.12095"},"observation_digest":"sha256:65810536610320ce7e914b54c5849dc158736af1c081fddd488e1989d2f8fc21","observation_id":"d1418c09-ad61-4024-8776-677361c6860c","resolution":{"observed_at":"2026-08-06T16:59:52.419731Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T16:59:52.233030Z","title":"Lightgaus- sian: Unbounded 3d gaussian compression with 15x reduction and 200+ fps,","venue":null,"work_id":"52d09ac8-224f-4dac-ba7e-8f7837c6ca1e","year":2024},"citing_paper":{"arxiv_id":"2507.12095","last_updated":"2025-07-16T10:04:35Z","snapshot_observed_at":"2026-08-06T16:51:34.198333Z","submitted_at":"2025-07-16T10:04:35Z","title":"BRUM: Robust 3D Vehicle Reconstruction from 360 Sparse Images","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-06T16:59:44.477694Z"},"links":{"citing_paper":"/paper/2507.12095"},"observation_digest":"sha256:3d10a8b16bdd7d0053d5915c61803feace46d15a86104397b886e64ad27f1360","observation_id":"360e14ad-e6e4-427f-af39-6de7e18c6528","resolution":{"observed_at":"2026-08-06T16:59:52.310062Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T16:59:52.030430Z","title":"Gaussianimage: 1000 fps image representation and compression by 2d gaussian splatting,","venue":null,"work_id":"26d9fd4e-0156-49c7-8cfe-ce5848db927b","year":2024},"citing_paper":{"arxiv_id":"2507.12095","last_updated":"2025-07-16T10:04:35Z","snapshot_observed_at":"2026-08-06T16:51:34.198333Z","submitted_at":"2025-07-16T10:04:35Z","title":"BRUM: Robust 3D Vehicle Reconstruction from 360 Sparse Images","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-06T16:59:44.600912Z"},"links":{"citing_paper":"/paper/2507.12095"},"observation_digest":"sha256:d51a91b3ff59a032fb73c43d114965b9fb977777d7f06e77196d8d6e18fffa5c","observation_id":"b0b6c221-3bc5-40bc-8ddd-2a89efd8dcae","resolution":{"observed_at":"2026-08-06T16:59:52.131091Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T16:59:51.834618Z","title":"Segment anything in 3d with nerfs,","venue":null,"work_id":"125ab85f-776a-493d-99a0-f75b1a988187","year":2023},"citing_paper":{"arxiv_id":"2507.12095","last_updated":"2025-07-16T10:04:35Z","snapshot_observed_at":"2026-08-06T16:51:34.198333Z","submitted_at":"2025-07-16T10:04:35Z","title":"BRUM: Robust 3D Vehicle Reconstruction from 360 Sparse Images","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-06T16:59:44.767903Z"},"links":{"citing_paper":"/paper/2507.12095"},"observation_digest":"sha256:7628bbae66c16b76ac04761f3f3c4f9a6200e8332284bca92e1f5537d0f4ced7","observation_id":"dd0ded92-98a7-4653-8df8-0eace5672355","resolution":{"observed_at":"2026-08-06T16:59:51.944284Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2401.17857","last_updated":"2025-01-19T08:31:42Z","snapshot_observed_at":"2026-08-06T19:12:34.556487Z","submitted_at":"2024-01-31T14:19:03Z","title":"SAGD: Boundary-Enhanced Segment Anything in 3D Gaussian via Gaussian Decomposition","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.17857","snapshot_observed_at":"2026-08-06T16:59:44.886007Z","title":"Semantic anything in 3d gaussians,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.12095","last_updated":"2025-07-16T10:04:35Z","snapshot_observed_at":"2026-08-06T16:51:34.198333Z","submitted_at":"2025-07-16T10:04:35Z","title":"BRUM: Robust 3D Vehicle Reconstruction from 360 Sparse Images","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-06T16:59:44.886007Z"},"links":{"cited_paper":"/paper/2401.17857","citing_paper":"/paper/2507.12095"},"observation_digest":"sha256:bec1a6d7bbcd84d2c3600cdbfcafd4a0a444fa7918369c958c389f65a2e2cd9f","observation_id":"6b7fd120-a8c2-4730-b541-43dfeffbf1ce","resolution":{"observed_at":"2026-08-06T16:59:44.886007Z","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":"2026-08-06T16:59:51.649828Z","title":"Gaussianeditor: Swift and controllable 3d editing with gaussian splatting,","venue":null,"work_id":"b292279d-3b4b-42b2-9994-95c4af976126","year":2024},"citing_paper":{"arxiv_id":"2507.12095","last_updated":"2025-07-16T10:04:35Z","snapshot_observed_at":"2026-08-06T16:51:34.198333Z","submitted_at":"2025-07-16T10:04:35Z","title":"BRUM: Robust 3D Vehicle Reconstruction from 360 Sparse Images","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-06T16:59:44.992595Z"},"links":{"citing_paper":"/paper/2507.12095"},"observation_digest":"sha256:d77f3ee41a798b26b05b3d45c027ccf0f3115deeb54cffd22da12be1cb1f439c","observation_id":"db196573-993e-4af3-aa9f-68132e810433","resolution":{"observed_at":"2026-08-06T16:59:51.730316Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2209.14988","last_updated":"2022-09-29T17:50:40Z","snapshot_observed_at":"2026-07-06T13:57:54.539656Z","submitted_at":"2022-09-29T17:50:40Z","title":"DreamFusion: Text-to-3D using 2D Diffusion","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2209.14988","snapshot_observed_at":"2026-08-06T16:59:45.113781Z","title":"Dreamfusion: Text-to-3d using 2d diffusion,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.12095","last_updated":"2025-07-16T10:04:35Z","snapshot_observed_at":"2026-08-06T16:51:34.198333Z","submitted_at":"2025-07-16T10:04:35Z","title":"BRUM: Robust 3D Vehicle Reconstruction from 360 Sparse Images","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-06T16:59:45.113781Z"},"links":{"cited_paper":"/paper/2209.14988","citing_paper":"/paper/2507.12095"},"observation_digest":"sha256:15a690e074f4ba4db6ebb3be4d91f32838c31f09629f6b39f81b36fbd4f75e40","observation_id":"286e8506-c83e-4e2a-ab4c-b55162e95fa1","resolution":{"observed_at":"2026-08-06T16:59:45.113781Z","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":"2026-08-06T16:59:51.511400Z","title":"Dreamscene360: Unconstrained text-to- 3d scene generation with panoramic gaussian splatting,","venue":null,"work_id":"2c0a2213-4e96-4552-aa15-f9dd2b201ff3","year":2024},"citing_paper":{"arxiv_id":"2507.12095","last_updated":"2025-07-16T10:04:35Z","snapshot_observed_at":"2026-08-06T16:51:34.198333Z","submitted_at":"2025-07-16T10:04:35Z","title":"BRUM: Robust 3D Vehicle Reconstruction from 360 Sparse Images","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-06T16:59:45.232099Z"},"links":{"citing_paper":"/paper/2507.12095"},"observation_digest":"sha256:2639d8b953cd9267dcf3310e00ea15f1af42f9fcee00e36d3ae7301aff000ea9","observation_id":"c2f3f476-f50c-4a84-82b5-e5018405cc58","resolution":{"observed_at":"2026-08-06T16:59:51.600283Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T16:59:51.344295Z","title":"Text-to-3d using gaussian splatting,","venue":null,"work_id":"08b5733a-3f5a-4009-9c21-b51aec4f4819","year":2024},"citing_paper":{"arxiv_id":"2507.12095","last_updated":"2025-07-16T10:04:35Z","snapshot_observed_at":"2026-08-06T16:51:34.198333Z","submitted_at":"2025-07-16T10:04:35Z","title":"BRUM: Robust 3D Vehicle Reconstruction from 360 Sparse Images","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-06T16:59:45.356805Z"},"links":{"citing_paper":"/paper/2507.12095"},"observation_digest":"sha256:ef462ab6cfea40e5610d0ac3a202da367a88c91bcfd63d9d6573dccc04c80b18","observation_id":"3078c250-bfa3-4eae-94b6-3d3d0460b5a7","resolution":{"observed_at":"2026-08-06T16:59:51.419724Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T16:59:51.207596Z","title":"Luciddreamer: Towards high-fidelity text-to-3d generation via interval score match- ing,","venue":null,"work_id":"d1f3a257-f46a-4e53-96e8-5a30a2f6a8b5","year":2024},"citing_paper":{"arxiv_id":"2507.12095","last_updated":"2025-07-16T10:04:35Z","snapshot_observed_at":"2026-08-06T16:51:34.198333Z","submitted_at":"2025-07-16T10:04:35Z","title":"BRUM: Robust 3D Vehicle Reconstruction from 360 Sparse Images","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-06T16:59:45.464877Z"},"links":{"citing_paper":"/paper/2507.12095"},"observation_digest":"sha256:3e16911416140ea4139e702360821f123f46c938148ef4fa29b086b67a4ddc98","observation_id":"b888803f-1cdd-431a-88b3-eb33e440293e","resolution":{"observed_at":"2026-08-06T16:59:51.290069Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T16:59:51.045240Z","title":"pixelnerf: Neural radiance fields from one or few images,","venue":null,"work_id":"acca6071-2369-421b-a90e-e8146a482d70","year":2021},"citing_paper":{"arxiv_id":"2507.12095","last_updated":"2025-07-16T10:04:35Z","snapshot_observed_at":"2026-08-06T16:51:34.198333Z","submitted_at":"2025-07-16T10:04:35Z","title":"BRUM: Robust 3D Vehicle Reconstruction from 360 Sparse Images","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-06T16:59:45.600541Z"},"links":{"citing_paper":"/paper/2507.12095"},"observation_digest":"sha256:784d677ffea3cf80e18c41d11eae8d4c1ab42fd75cd60093faf0140b89107885","observation_id":"e1659ac1-2acf-4aef-a529-0ef471875afa","resolution":{"observed_at":"2026-08-06T16:59:51.117612Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T16:59:50.895203Z","title":"Ibrnet: Learning multi-view image-based rendering,","venue":null,"work_id":"ac4198a0-0faa-49a9-9736-b34a510606cf","year":2021},"citing_paper":{"arxiv_id":"2507.12095","last_updated":"2025-07-16T10:04:35Z","snapshot_observed_at":"2026-08-06T16:51:34.198333Z","submitted_at":"2025-07-16T10:04:35Z","title":"BRUM: Robust 3D Vehicle Reconstruction from 360 Sparse Images","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-06T16:59:45.781441Z"},"links":{"citing_paper":"/paper/2507.12095"},"observation_digest":"sha256:26a7b6e4fdf2e455be13a0fe526aa937231a6dac34ae95b926f2bfbd0bfd9698","observation_id":"53022e28-2c4f-4441-990b-a643107e9651","resolution":{"observed_at":"2026-08-06T16:59:50.978306Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T16:59:50.743286Z","title":"Corresnerf: Image corre- spondence priors for neural radiance fields,","venue":null,"work_id":"5fb52854-d041-4e19-9ab8-8c07119f2550","year":2023},"citing_paper":{"arxiv_id":"2507.12095","last_updated":"2025-07-16T10:04:35Z","snapshot_observed_at":"2026-08-06T16:51:34.198333Z","submitted_at":"2025-07-16T10:04:35Z","title":"BRUM: Robust 3D Vehicle Reconstruction from 360 Sparse Images","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-06T16:59:45.925351Z"},"links":{"citing_paper":"/paper/2507.12095"},"observation_digest":"sha256:21b6c3398e49a442ba9fbc2c386c5c7f6ee505783ff04f9a0b4c2439bec30a0b","observation_id":"bd4ed903-9509-432e-b236-0adfddd8ebe0","resolution":{"observed_at":"2026-08-06T16:59:50.807698Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T16:59:50.583308Z","title":"Depth-supervised nerf: Fewer views and faster training for free,","venue":null,"work_id":"9dc93689-f13a-4450-8519-9f978ad97d01","year":2022},"citing_paper":{"arxiv_id":"2507.12095","last_updated":"2025-07-16T10:04:35Z","snapshot_observed_at":"2026-08-06T16:51:34.198333Z","submitted_at":"2025-07-16T10:04:35Z","title":"BRUM: Robust 3D Vehicle Reconstruction from 360 Sparse Images","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-06T16:59:46.049860Z"},"links":{"citing_paper":"/paper/2507.12095"},"observation_digest":"sha256:7974cf51c5735733ef03f5fd2e605a81b06d6bb002b1cd6874c6f151aca28d59","observation_id":"2417f42e-9a86-45f3-ad2e-7a85268065f0","resolution":{"observed_at":"2026-08-06T16:59:50.656305Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T16:59:50.432825Z","title":"Dense depth priors for neural radiance fields from sparse input views,","venue":null,"work_id":"f44235c9-11e6-4e9b-b8e5-0b9a60811323","year":2022},"citing_paper":{"arxiv_id":"2507.12095","last_updated":"2025-07-16T10:04:35Z","snapshot_observed_at":"2026-08-06T16:51:34.198333Z","submitted_at":"2025-07-16T10:04:35Z","title":"BRUM: Robust 3D Vehicle Reconstruction from 360 Sparse Images","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-06T16:59:46.207975Z"},"links":{"citing_paper":"/paper/2507.12095"},"observation_digest":"sha256:1f57d269ad90ec0b9248e4a7fe0dd94d065fd96930f3e75a92e217c7add85ef7","observation_id":"d5154599-69cc-48ce-bbbc-f26d2b5fb4a6","resolution":{"observed_at":"2026-08-06T16:59:50.531725Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T16:59:50.300010Z","title":"Splatfields: Neural gaussian splats for sparse 3d and 4d reconstruction,","venue":null,"work_id":"f9c535c2-bbb9-4fe9-b9cb-54ead27b15f5","year":2024},"citing_paper":{"arxiv_id":"2507.12095","last_updated":"2025-07-16T10:04:35Z","snapshot_observed_at":"2026-08-06T16:51:34.198333Z","submitted_at":"2025-07-16T10:04:35Z","title":"BRUM: Robust 3D Vehicle Reconstruction from 360 Sparse Images","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-06T16:59:46.306578Z"},"links":{"citing_paper":"/paper/2507.12095"},"observation_digest":"sha256:6a103eab23b42f62b904c9a743320baaf42096452d69ba6c7f260ddb2a178908","observation_id":"114aa4f6-3ac6-4092-bf86-a7756fec8512","resolution":{"observed_at":"2026-08-06T16:59:50.354056Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T16:59:50.128096Z","title":"Coherentgs: Sparse novel view synthesis with coherent 3d gaussians,","venue":null,"work_id":"1d5a7d62-88b1-4676-91dc-d5299a702650","year":2024},"citing_paper":{"arxiv_id":"2507.12095","last_updated":"2025-07-16T10:04:35Z","snapshot_observed_at":"2026-08-06T16:51:34.198333Z","submitted_at":"2025-07-16T10:04:35Z","title":"BRUM: Robust 3D Vehicle Reconstruction from 360 Sparse Images","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-06T16:59:46.423829Z"},"links":{"citing_paper":"/paper/2507.12095"},"observation_digest":"sha256:18e531727a69f599d3e866b22ba8984ae89e5aa405a961d155d917b744d54c00","observation_id":"fde86fb8-acb2-4514-9109-729020506713","resolution":{"observed_at":"2026-08-06T16:59:50.228662Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T16:59:49.977616Z","title":"Fewviewgs: Gaussian splatting with few view matching and multi-stage training,","venue":null,"work_id":"102ab64e-a111-4b3e-974c-6966da7329be","year":2024},"citing_paper":{"arxiv_id":"2507.12095","last_updated":"2025-07-16T10:04:35Z","snapshot_observed_at":"2026-08-06T16:51:34.198333Z","submitted_at":"2025-07-16T10:04:35Z","title":"BRUM: Robust 3D Vehicle Reconstruction from 360 Sparse Images","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-06T16:59:46.476024Z"},"links":{"citing_paper":"/paper/2507.12095"},"observation_digest":"sha256:bc8cfa43571f3b2538dc59634434d6991d0f17185efe1dc83b137e2c808a165c","observation_id":"6afaf86a-70c8-47b7-84e6-ce8d25fbb03e","resolution":{"observed_at":"2026-08-06T16:59:50.075369Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T16:59:49.806225Z","title":"Structure consistent gaussian splatting with matching prior for few-shot novel view synthesis,","venue":null,"work_id":"0233ac41-2f25-4427-97df-32626e8c6998","year":2024},"citing_paper":{"arxiv_id":"2507.12095","last_updated":"2025-07-16T10:04:35Z","snapshot_observed_at":"2026-08-06T16:51:34.198333Z","submitted_at":"2025-07-16T10:04:35Z","title":"BRUM: Robust 3D Vehicle Reconstruction from 360 Sparse Images","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-06T16:59:46.592885Z"},"links":{"citing_paper":"/paper/2507.12095"},"observation_digest":"sha256:c37ceb3f174433067992851dfc559438057f1319e33fc6df07e0cae7b2293b70","observation_id":"c8b843cf-6395-47d9-bcd0-c1d1d0d0e6e4","resolution":{"observed_at":"2026-08-06T16:59:49.874750Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T16:59:49.612022Z","title":"Animating rotation with quaternion curves,","venue":null,"work_id":"fe77813c-38c7-4902-b5ee-e19996dc71bd","year":1985},"citing_paper":{"arxiv_id":"2507.12095","last_updated":"2025-07-16T10:04:35Z","snapshot_observed_at":"2026-08-06T16:51:34.198333Z","submitted_at":"2025-07-16T10:04:35Z","title":"BRUM: Robust 3D Vehicle Reconstruction from 360 Sparse Images","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-06T16:59:46.683307Z"},"links":{"citing_paper":"/paper/2507.12095"},"observation_digest":"sha256:077a397178f8971bc03f65e0b805b808fa5ad59bee2ea62bb259c91488ce7663","observation_id":"95fd6e8f-4034-40af-988e-9f7724eeaa7d","resolution":{"observed_at":"2026-08-06T16:59:49.707649Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T16:59:49.412223Z","title":"Synsin: End-to- end view synthesis from a single image,","venue":null,"work_id":"7a2dec53-d08b-45d4-b364-1fe31ecc77a7","year":2020},"citing_paper":{"arxiv_id":"2507.12095","last_updated":"2025-07-16T10:04:35Z","snapshot_observed_at":"2026-08-06T16:51:34.198333Z","submitted_at":"2025-07-16T10:04:35Z","title":"BRUM: Robust 3D Vehicle Reconstruction from 360 Sparse Images","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-06T16:59:46.735912Z"},"links":{"citing_paper":"/paper/2507.12095"},"observation_digest":"sha256:5e0d21a6ed78c4a64a3c3d60302b57f88c4a396f280c01ccf945d904b477af22","observation_id":"4885a39a-6261-4b49-9aff-3a9fe8eb0e1b","resolution":{"observed_at":"2026-08-06T16:59:49.509496Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T16:59:49.219007Z","title":"Image quality assessment: from error visibility to structural similarity,","venue":null,"work_id":"daea20f0-7548-459d-b0dd-9b6eda8a6591","year":2004},"citing_paper":{"arxiv_id":"2507.12095","last_updated":"2025-07-16T10:04:35Z","snapshot_observed_at":"2026-08-06T16:51:34.198333Z","submitted_at":"2025-07-16T10:04:35Z","title":"BRUM: Robust 3D Vehicle Reconstruction from 360 Sparse Images","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-06T16:59:46.814730Z"},"links":{"citing_paper":"/paper/2507.12095"},"observation_digest":"sha256:b3a14f550c181653add3d5fd5978e0763415026ef7937da9e37fb7e36c7bde04","observation_id":"8f25b19a-5155-4d49-ae4f-8b85fdc27f0b","resolution":{"observed_at":"2026-08-06T16:59:49.314614Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2010.11929","last_updated":"2021-06-03T13:08:56Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2020-10-22T17:55:59Z","title":"An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2010.11929","snapshot_observed_at":"2026-08-06T16:59:46.937008Z","title":"An image is worth 16x16 words: Transformers for image recognition at scale,","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2507.12095","last_updated":"2025-07-16T10:04:35Z","snapshot_observed_at":"2026-08-06T16:51:34.198333Z","submitted_at":"2025-07-16T10:04:35Z","title":"BRUM: Robust 3D Vehicle Reconstruction from 360 Sparse Images","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-06T16:59:46.937008Z"},"links":{"cited_paper":"/paper/2010.11929","citing_paper":"/paper/2507.12095"},"observation_digest":"sha256:7166c98d71bc78bcf8f789102c29fe072386c23a323b0d45e39337800de916be","observation_id":"f70715a0-1b63-47c6-9a70-26b572d34a57","resolution":{"observed_at":"2026-08-06T16:59:46.937008Z","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":"2026-08-06T16:59:48.924365Z","title":"Attention is all you need,","venue":null,"work_id":"1553ca3b-ad95-4db7-99ee-46bf69d97df5","year":2017},"citing_paper":{"arxiv_id":"2507.12095","last_updated":"2025-07-16T10:04:35Z","snapshot_observed_at":"2026-08-06T16:51:34.198333Z","submitted_at":"2025-07-16T10:04:35Z","title":"BRUM: Robust 3D Vehicle Reconstruction from 360 Sparse Images","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-06T16:59:47.044381Z"},"links":{"citing_paper":"/paper/2507.12095"},"observation_digest":"sha256:82c5143a36ee1b817acde1707053468edb9867064a01e8dfadad563e4e45eff6","observation_id":"24e5a050-8083-4f89-bfc9-94a36958ba9c","resolution":{"observed_at":"2026-08-06T16:59:49.066689Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T16:59:48.754235Z","title":"Segment anything,","venue":null,"work_id":"57d09756-a499-4257-9fec-e50cfa8467fe","year":2023},"citing_paper":{"arxiv_id":"2507.12095","last_updated":"2025-07-16T10:04:35Z","snapshot_observed_at":"2026-08-06T16:51:34.198333Z","submitted_at":"2025-07-16T10:04:35Z","title":"BRUM: Robust 3D Vehicle Reconstruction from 360 Sparse Images","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-06T16:59:47.118656Z"},"links":{"citing_paper":"/paper/2507.12095"},"observation_digest":"sha256:0ca3c3802b95b2cc25c3e960c2f6df3c60aac9d35df3b943f43f66607d5af601","observation_id":"198ac697-3127-4489-9936-9a0520140604","resolution":{"observed_at":"2026-08-06T16:59:48.862569Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T16:59:48.510638Z","title":"Dngaussian: Optimizing sparse-view 3d gaussian radiance fields with global-local depth normalization,","venue":null,"work_id":"c0818b20-1705-4251-a993-5c57b2235a22","year":2024},"citing_paper":{"arxiv_id":"2507.12095","last_updated":"2025-07-16T10:04:35Z","snapshot_observed_at":"2026-08-06T16:51:34.198333Z","submitted_at":"2025-07-16T10:04:35Z","title":"BRUM: Robust 3D Vehicle Reconstruction from 360 Sparse Images","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-06T16:59:47.213115Z"},"links":{"citing_paper":"/paper/2507.12095"},"observation_digest":"sha256:c445aad6a946f5829a1701f9bc80a63b1b7fbe5ec8a83450455265c7fadfb9ca","observation_id":"c1c86098-405b-4e89-ae16-ac5b26a1b310","resolution":{"observed_at":"2026-08-06T16:59:48.629815Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T16:59:48.249514Z","title":"The unreasonable effectiveness of deep features as a perceptual metric,","venue":null,"work_id":"c5172500-22a2-41e8-b1ea-1b5929b904c8","year":2018},"citing_paper":{"arxiv_id":"2507.12095","last_updated":"2025-07-16T10:04:35Z","snapshot_observed_at":"2026-08-06T16:51:34.198333Z","submitted_at":"2025-07-16T10:04:35Z","title":"BRUM: Robust 3D Vehicle Reconstruction from 360 Sparse Images","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-06T16:59:47.302133Z"},"links":{"citing_paper":"/paper/2507.12095"},"observation_digest":"sha256:5fe59793da7f9a2955154f8ce24e4a66cae61f5b59599f45bc4d354ae725631b","observation_id":"5777ac72-e5f2-46e7-9b33-e38fd16e8776","resolution":{"observed_at":"2026-08-06T16:59:48.370414Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T16:59:47.998970Z","title":"Regnerf: Regularizing neural radiance fields for view synthesis from sparse inputs,","venue":null,"work_id":"e81e6005-bb84-4bb2-9409-7cf3b967e353","year":2022},"citing_paper":{"arxiv_id":"2507.12095","last_updated":"2025-07-16T10:04:35Z","snapshot_observed_at":"2026-08-06T16:51:34.198333Z","submitted_at":"2025-07-16T10:04:35Z","title":"BRUM: Robust 3D Vehicle Reconstruction from 360 Sparse Images","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-06T16:59:47.392000Z"},"links":{"citing_paper":"/paper/2507.12095"},"observation_digest":"sha256:88073707f1873c2ea2daf3aa9c255755f5b0a1074da2303613974502149df4f3","observation_id":"5bd0c239-796c-43d3-ae52-ce79df817954","resolution":{"observed_at":"2026-08-06T16:59:48.112394Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T16:59:47.684002Z","title":"Vision transformers for dense prediction,","venue":null,"work_id":"747a926a-99c0-471b-8204-f2da36c57693","year":2021},"citing_paper":{"arxiv_id":"2507.12095","last_updated":"2025-07-16T10:04:35Z","snapshot_observed_at":"2026-08-06T16:51:34.198333Z","submitted_at":"2025-07-16T10:04:35Z","title":"BRUM: Robust 3D Vehicle Reconstruction from 360 Sparse Images","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-06T16:59:47.495712Z"},"links":{"citing_paper":"/paper/2507.12095"},"observation_digest":"sha256:e7d2bc2b481fe4b8c449793b3d3c9541ca6e7e95faeaa485e556e4fa35707fe8","observation_id":"3d3438ac-df92-415c-b99a-3c9e680d60e5","resolution":{"observed_at":"2026-08-06T16:59:47.827250Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2507.12095","last_updated":"2025-07-16T10:04:35Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-06T16:51:34.198333Z","submitted_at":"2025-07-16T10:04:35Z","title":"BRUM: Robust 3D Vehicle Reconstruction from 360 Sparse Images"},"reference_resolution":{"displayed":48,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":3,"verified_exact":0,"verified_fuzzy":45},"total_outbound_references":48},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 0 inbound Pith citation observations for arXiv:2507.12095."}