{"as_of":"2026-08-19T22:09:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:93dddef159a8c10dfd8fd8fbf6dabd177968e62f8099b92231ea1b77549fdda1","coverage":[{"denominator":41,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":41,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-11T20:56:41.153385Z","state":"measured"},{"denominator":41,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":41,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-19T06:32:44.657259+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/2412.05154/citation-record","integrity":"/paper/2412.05154/integrity","json":"/paper/2412.05154/citation-record.json","paper":"/paper/2412.05154"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T20:56:41.782946Z","title":"Scan2cad: Learning cad model alignment in rgb-d scans","venue":null,"work_id":"64804030-5498-4073-8c0e-c042d8bcbe90","year":2019},"citing_paper":{"arxiv_id":"2412.05154","last_updated":"2024-12-06T16:12:38Z","snapshot_observed_at":"2026-08-19T15:24:39.510617Z","submitted_at":"2024-12-06T16:12:38Z","title":"Towards Flexible 3D Perception: Object-Centric Occupancy Completion Augments 3D Object Detection","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-11T20:56:40.964107Z"},"links":{"citing_paper":"/paper/2412.05154"},"observation_digest":"sha256:dd1ea124c7be4b6c3773fe234fe24062cd42f76f371301f24782ebdd7eb13775","observation_id":"f33d10d6-4309-4666-86fb-89404eeb359f","resolution":{"observed_at":"2026-08-11T20:56:41.787600Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-11T20:56:41.768466Z","title":"nuscenes: A multimodal dataset for autonomous driving","venue":null,"work_id":"f049ee45-70c4-40f2-b6b5-1f2d36c96b4e","year":2020},"citing_paper":{"arxiv_id":"2412.05154","last_updated":"2024-12-06T16:12:38Z","snapshot_observed_at":"2026-08-19T15:24:39.510617Z","submitted_at":"2024-12-06T16:12:38Z","title":"Towards Flexible 3D Perception: Object-Centric Occupancy Completion Augments 3D Object Detection","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-11T20:56:40.969386Z"},"links":{"citing_paper":"/paper/2412.05154"},"observation_digest":"sha256:1a7aba34f68addd649511f48dd173732e9c559ebd565e720a81f93553a83d8fd","observation_id":"02df9f78-ffe7-473b-a8ab-6360d64b5ae9","resolution":{"observed_at":"2026-08-11T20:56:41.773510Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-11T20:56:41.753640Z","title":"Mppnet: Multi-frame feature intertwining with proxy points for 3d temporal object detection","venue":null,"work_id":"e191cc58-f8eb-463c-b1c3-020de91625d2","year":2022},"citing_paper":{"arxiv_id":"2412.05154","last_updated":"2024-12-06T16:12:38Z","snapshot_observed_at":"2026-08-19T15:24:39.510617Z","submitted_at":"2024-12-06T16:12:38Z","title":"Towards Flexible 3D Perception: Object-Centric Occupancy Completion Augments 3D Object Detection","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-11T20:56:40.974169Z"},"links":{"citing_paper":"/paper/2412.05154"},"observation_digest":"sha256:236d5e8482595f5d3814472feaa1b2b7866319b96fbf30a77e325211716e75d7","observation_id":"e799e36c-50fe-4b85-9b97-be20f7aadb07","resolution":{"observed_at":"2026-08-11T20:56:41.758765Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-11T20:56:41.738213Z","title":"V oxelnext: Fully sparse voxelnet for 3d object detection and tracking","venue":null,"work_id":"5d59fa35-e7dd-446a-907e-bf86f3ce78f9","year":2023},"citing_paper":{"arxiv_id":"2412.05154","last_updated":"2024-12-06T16:12:38Z","snapshot_observed_at":"2026-08-19T15:24:39.510617Z","submitted_at":"2024-12-06T16:12:38Z","title":"Towards Flexible 3D Perception: Object-Centric Occupancy Completion Augments 3D Object Detection","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-11T20:56:40.979059Z"},"links":{"citing_paper":"/paper/2412.05154"},"observation_digest":"sha256:8fabcf4d992615b61bf9c7bb5ab06affa9d2b672d26618f30a5bb99e13fdb9b7","observation_id":"322b47ff-cf28-4a65-9d8d-abd650df82ae","resolution":{"observed_at":"2026-08-11T20:56:41.743946Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T20:56:40.983620Z","title":"Spconv: Spatially sparse convolution library","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2412.05154","last_updated":"2024-12-06T16:12:38Z","snapshot_observed_at":"2026-08-19T15:24:39.510617Z","submitted_at":"2024-12-06T16:12:38Z","title":"Towards Flexible 3D Perception: Object-Centric Occupancy Completion Augments 3D Object Detection","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-11T20:56:40.983620Z"},"links":{"citing_paper":"/paper/2412.05154"},"observation_digest":"sha256:3e687ffd2da899ae11ad4a9fee36b655906b6ac79813b6f578996f38dca997d1","observation_id":"64efb506-7aef-4d52-aa85-b17e02ce8c8e","resolution":{"observed_at":"2026-08-11T20:56:40.983620Z","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":"2026-08-11T20:56:41.713190Z","title":"Fully sparse 3d object detection","venue":null,"work_id":"0ed10fa0-68b9-4ccd-961c-3a10b5b94c11","year":2022},"citing_paper":{"arxiv_id":"2412.05154","last_updated":"2024-12-06T16:12:38Z","snapshot_observed_at":"2026-08-19T15:24:39.510617Z","submitted_at":"2024-12-06T16:12:38Z","title":"Towards Flexible 3D Perception: Object-Centric Occupancy Completion Augments 3D Object Detection","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-11T20:56:40.988724Z"},"links":{"citing_paper":"/paper/2412.05154"},"observation_digest":"sha256:616264dd2d7641cfd240c7e9d517153a8bb5780b6fc852b390f25ffe4fddb2be","observation_id":"bb6af910-ef57-4dcc-97d5-4db95f308c5b","resolution":{"observed_at":"2026-08-11T20:56:41.718112Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2308.03755","last_updated":"2023-08-07T17:59:48Z","snapshot_observed_at":"2026-08-16T15:10:11.250639Z","submitted_at":"2023-08-07T17:59:48Z","title":"FSD V2: Improving Fully Sparse 3D Object Detection with Virtual Voxels","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2308.03755","snapshot_observed_at":"2026-08-11T20:56:40.993988Z","title":"Fsd v2: Improving fully sparse 3d object detection with virtual voxels","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.05154","last_updated":"2024-12-06T16:12:38Z","snapshot_observed_at":"2026-08-19T15:24:39.510617Z","submitted_at":"2024-12-06T16:12:38Z","title":"Towards Flexible 3D Perception: Object-Centric Occupancy Completion Augments 3D Object Detection","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-11T20:56:40.993988Z"},"links":{"cited_paper":"/paper/2308.03755","citing_paper":"/paper/2412.05154"},"observation_digest":"sha256:fa83ae0438edf3a6c889dfe19183bd888264d07fcb43abc8f0f257f9cf183b4b","observation_id":"f1724292-0df9-48a7-83f0-8135cb7dd547","resolution":{"observed_at":"2026-08-11T20:56:40.993988Z","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":"2026-08-11T20:56:41.698204Z","title":"Once detected, never lost: Surpassing human performance in offline lidar based 3d object detection","venue":null,"work_id":"1c0d7d28-3839-43b2-a0c7-e807fb4fced4","year":2023},"citing_paper":{"arxiv_id":"2412.05154","last_updated":"2024-12-06T16:12:38Z","snapshot_observed_at":"2026-08-19T15:24:39.510617Z","submitted_at":"2024-12-06T16:12:38Z","title":"Towards Flexible 3D Perception: Object-Centric Occupancy Completion Augments 3D Object Detection","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-11T20:56:40.999009Z"},"links":{"citing_paper":"/paper/2412.05154"},"observation_digest":"sha256:ba93ce3ec62d7629c02c3ce031fbf662cc2e7c9f636c126bd8f069a6c1efbb24","observation_id":"3e08512d-aa8c-4f82-997e-3ab52e2b34e2","resolution":{"observed_at":"2026-08-11T20:56:41.703274Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-11T20:56:41.681804Z","title":"Super sparse 3d object detection","venue":null,"work_id":"230c98ff-e548-4268-9d1d-4a5f1082fa25","year":2023},"citing_paper":{"arxiv_id":"2412.05154","last_updated":"2024-12-06T16:12:38Z","snapshot_observed_at":"2026-08-19T15:24:39.510617Z","submitted_at":"2024-12-06T16:12:38Z","title":"Towards Flexible 3D Perception: Object-Centric Occupancy Completion Augments 3D Object Detection","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-11T20:56:41.003651Z"},"links":{"citing_paper":"/paper/2412.05154"},"observation_digest":"sha256:bfea77a242c68f0c96d0a9f334d2a2da9b0a5e78117d9affea042df835e15183","observation_id":"02977f38-eb4c-4274-8b09-7c962a01446e","resolution":{"observed_at":"2026-08-11T20:56:41.687000Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-11T20:56:41.666822Z","title":"3d semantic segmentation with submanifold sparse convolutional networks","venue":null,"work_id":"9415c38b-bd50-4adc-abec-27d107e0daed","year":2018},"citing_paper":{"arxiv_id":"2412.05154","last_updated":"2024-12-06T16:12:38Z","snapshot_observed_at":"2026-08-19T15:24:39.510617Z","submitted_at":"2024-12-06T16:12:38Z","title":"Towards Flexible 3D Perception: Object-Centric Occupancy Completion Augments 3D Object Detection","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-11T20:56:41.007997Z"},"links":{"citing_paper":"/paper/2412.05154"},"observation_digest":"sha256:20ad868036772e3b023b86feb7860d1416214d4ae526bae7a9a8bded316f5be6","observation_id":"4391c05e-1cd0-4dd3-b29a-6946a9debdc5","resolution":{"observed_at":"2026-08-11T20:56:41.672220Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-11T20:56:41.650660Z","title":"Selfocc: Self- supervised vision-based 3d occupancy prediction","venue":null,"work_id":"7d8cf71a-bb06-43b0-8809-fdea2ca82757","year":2024},"citing_paper":{"arxiv_id":"2412.05154","last_updated":"2024-12-06T16:12:38Z","snapshot_observed_at":"2026-08-19T15:24:39.510617Z","submitted_at":"2024-12-06T16:12:38Z","title":"Towards Flexible 3D Perception: Object-Centric Occupancy Completion Augments 3D Object Detection","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-11T20:56:41.012161Z"},"links":{"citing_paper":"/paper/2412.05154"},"observation_digest":"sha256:7ef5a7639640edb740187734acd411a7d9cef33e31a7bc33e8cb57531d8f95c2","observation_id":"e19eae37-6351-4e99-b200-383e3b1eb9dd","resolution":{"observed_at":"2026-08-11T20:56:41.656497Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-11T20:56:41.632759Z","title":"Tri-perspective view for vision-based 3d semantic occupancy prediction","venue":null,"work_id":"88c59363-49d8-4e61-9f4a-8da38e16d39b","year":2023},"citing_paper":{"arxiv_id":"2412.05154","last_updated":"2024-12-06T16:12:38Z","snapshot_observed_at":"2026-08-19T15:24:39.510617Z","submitted_at":"2024-12-06T16:12:38Z","title":"Towards Flexible 3D Perception: Object-Centric Occupancy Completion Augments 3D Object Detection","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-11T20:56:41.016715Z"},"links":{"citing_paper":"/paper/2412.05154"},"observation_digest":"sha256:1f2f17060e350371e4e8108b5efec28ae08abca717a6cf87ceb6e96d26a3259f","observation_id":"8a05a8ca-ee7b-4a57-9b0c-9a69a1415fd1","resolution":{"observed_at":"2026-08-11T20:56:41.639108Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-11T20:56:41.616683Z","title":"3d distance fields: A survey of techniques and applications","venue":null,"work_id":"05574ce2-1b6f-41d1-9d76-63611f55c1e2","year":2006},"citing_paper":{"arxiv_id":"2412.05154","last_updated":"2024-12-06T16:12:38Z","snapshot_observed_at":"2026-08-19T15:24:39.510617Z","submitted_at":"2024-12-06T16:12:38Z","title":"Towards Flexible 3D Perception: Object-Centric Occupancy Completion Augments 3D Object Detection","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-11T20:56:41.020748Z"},"links":{"citing_paper":"/paper/2412.05154"},"observation_digest":"sha256:e41d079c3a5032b3903db1bc040dc8f8d6c43907776a03e930b64ad73260c985","observation_id":"ac306d3a-95ff-49c3-b25a-938bd2a4fe3e","resolution":{"observed_at":"2026-08-11T20:56:41.621808Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-11T20:56:41.600600Z","title":"Modar: Using motion forecasting for 3d object detection in point cloud sequences","venue":null,"work_id":"ef05599a-f5d4-4bd4-b17d-b6219e29b664","year":2023},"citing_paper":{"arxiv_id":"2412.05154","last_updated":"2024-12-06T16:12:38Z","snapshot_observed_at":"2026-08-19T15:24:39.510617Z","submitted_at":"2024-12-06T16:12:38Z","title":"Towards Flexible 3D Perception: Object-Centric Occupancy Completion Augments 3D Object Detection","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-11T20:56:41.025543Z"},"links":{"citing_paper":"/paper/2412.05154"},"observation_digest":"sha256:bd2026d88190b9f0482c91a2a517df9783eab850f177d0ceb29c1593e3d3d078","observation_id":"154db183-1845-48e9-8372-e933b8fcbed1","resolution":{"observed_at":"2026-08-11T20:56:41.606193Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-11T20:56:41.584768Z","title":"Lidar r-cnn: An efficient and universal 3d object detector","venue":null,"work_id":"296d3c52-13d7-4393-9e38-7bf3903ba414","year":2021},"citing_paper":{"arxiv_id":"2412.05154","last_updated":"2024-12-06T16:12:38Z","snapshot_observed_at":"2026-08-19T15:24:39.510617Z","submitted_at":"2024-12-06T16:12:38Z","title":"Towards Flexible 3D Perception: Object-Centric Occupancy Completion Augments 3D Object Detection","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-11T20:56:41.031009Z"},"links":{"citing_paper":"/paper/2412.05154"},"observation_digest":"sha256:b3e4f0858da1ca7548ba790637081e1d7180c23564df39079e355d20a6e4efe6","observation_id":"07c89789-77b1-473e-8a08-cda3510d411b","resolution":{"observed_at":"2026-08-11T20:56:41.589749Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-11T20:56:41.568301Z","title":"Bevformer: Learning bird’s-eye-view representation from multi-camera images via spatiotemporal transformers","venue":null,"work_id":"5e7d090c-679c-4077-a5e5-64368574b827","year":2022},"citing_paper":{"arxiv_id":"2412.05154","last_updated":"2024-12-06T16:12:38Z","snapshot_observed_at":"2026-08-19T15:24:39.510617Z","submitted_at":"2024-12-06T16:12:38Z","title":"Towards Flexible 3D Perception: Object-Centric Occupancy Completion Augments 3D Object Detection","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-11T20:56:41.035721Z"},"links":{"citing_paper":"/paper/2412.05154"},"observation_digest":"sha256:526a61bd548c07362a96c09a2b21422d1c45999243dcae2c4ab8784f4ed511d7","observation_id":"a02ad45a-6df2-46b0-9359-c611e83c35a1","resolution":{"observed_at":"2026-08-11T20:56:41.573876Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-11T20:56:41.550255Z","title":"Learning a room with the occ-sdf hybrid: Signed distance function mingled with occupancy aids scene representation","venue":null,"work_id":"aadaf895-8236-4307-91bf-0c7c8ed66b09","year":2023},"citing_paper":{"arxiv_id":"2412.05154","last_updated":"2024-12-06T16:12:38Z","snapshot_observed_at":"2026-08-19T15:24:39.510617Z","submitted_at":"2024-12-06T16:12:38Z","title":"Towards Flexible 3D Perception: Object-Centric Occupancy Completion Augments 3D Object Detection","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-11T20:56:41.040809Z"},"links":{"citing_paper":"/paper/2412.05154"},"observation_digest":"sha256:98bc19b29e8df9c324570047192b4d15a94934dbda54c45f666a2807fd136cfa","observation_id":"77061fca-1d78-4388-bc4a-6b755988bef7","resolution":{"observed_at":"2026-08-11T20:56:41.556740Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T20:56:41.046071Z","title":"Nerf: Representing scenes as neural radiance fields for view synthesis","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2412.05154","last_updated":"2024-12-06T16:12:38Z","snapshot_observed_at":"2026-08-19T15:24:39.510617Z","submitted_at":"2024-12-06T16:12:38Z","title":"Towards Flexible 3D Perception: Object-Centric Occupancy Completion Augments 3D Object Detection","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-11T20:56:41.046071Z"},"links":{"citing_paper":"/paper/2412.05154"},"observation_digest":"sha256:ee58f839823b87f74d9346a75ec09e0f082c1cf8ff087273204bc553f3b41431","observation_id":"3b59ee3d-1bd7-4e65-988c-49fccf855b15","resolution":{"observed_at":"2026-08-11T20:56:41.046071Z","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":"2026-08-11T20:56:41.524641Z","title":"Deepsdf: Learning continuous signed distance functions for shape representation","venue":null,"work_id":"cf917489-de5b-42c6-a17e-0924666efda4","year":2019},"citing_paper":{"arxiv_id":"2412.05154","last_updated":"2024-12-06T16:12:38Z","snapshot_observed_at":"2026-08-19T15:24:39.510617Z","submitted_at":"2024-12-06T16:12:38Z","title":"Towards Flexible 3D Perception: Object-Centric Occupancy Completion Augments 3D Object Detection","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-11T20:56:41.050647Z"},"links":{"citing_paper":"/paper/2412.05154"},"observation_digest":"sha256:654a93db39015b5dbbc8bc9f4f1092b6dac606786c2c3d0f511f5744e5a7862f","observation_id":"cbb2e843-501f-4e3a-a363-997a4d1a1be7","resolution":{"observed_at":"2026-08-11T20:56:41.529844Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-11T20:56:41.511165Z","title":"Pointnet: Deep learning on point sets for 3d classification and segmentation","venue":null,"work_id":"0a436faf-9cbb-45b5-9c8f-3fc7c530e487","year":2017},"citing_paper":{"arxiv_id":"2412.05154","last_updated":"2024-12-06T16:12:38Z","snapshot_observed_at":"2026-08-19T15:24:39.510617Z","submitted_at":"2024-12-06T16:12:38Z","title":"Towards Flexible 3D Perception: Object-Centric Occupancy Completion Augments 3D Object Detection","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-11T20:56:41.055930Z"},"links":{"citing_paper":"/paper/2412.05154"},"observation_digest":"sha256:7e293f33622162c03676ba288c30b210a8b8a848462e28b438701b58fdb224a0","observation_id":"68cabf4f-3743-46f9-a9e4-5dbc744490a8","resolution":{"observed_at":"2026-08-11T20:56:41.515562Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-11T20:56:41.497945Z","title":"Offboard 3d object detection from point cloud sequences","venue":null,"work_id":"2f3dd218-29a9-428b-92b7-316c9c7f8472","year":2021},"citing_paper":{"arxiv_id":"2412.05154","last_updated":"2024-12-06T16:12:38Z","snapshot_observed_at":"2026-08-19T15:24:39.510617Z","submitted_at":"2024-12-06T16:12:38Z","title":"Towards Flexible 3D Perception: Object-Centric Occupancy Completion Augments 3D Object Detection","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-11T20:56:41.060483Z"},"links":{"citing_paper":"/paper/2412.05154"},"observation_digest":"sha256:02766ac33a7d8335715aa9564613e048c6b33f095bbf7dcdb77602ebb7418cfd","observation_id":"b0f9d838-2f43-49c4-9782-e47395239e25","resolution":{"observed_at":"2026-08-11T20:56:41.502549Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-11T20:56:41.483569Z","title":"Frodo: From detections to 3d objects","venue":null,"work_id":"283877d4-fee7-4bf8-b741-73c518198725","year":2020},"citing_paper":{"arxiv_id":"2412.05154","last_updated":"2024-12-06T16:12:38Z","snapshot_observed_at":"2026-08-19T15:24:39.510617Z","submitted_at":"2024-12-06T16:12:38Z","title":"Towards Flexible 3D Perception: Object-Centric Occupancy Completion Augments 3D Object Detection","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-11T20:56:41.065886Z"},"links":{"citing_paper":"/paper/2412.05154"},"observation_digest":"sha256:ce67392d552ebf49b1ed088f4f21895bf2e47d4ce2a23266d3b183695c6052e3","observation_id":"1a717cbe-6bc9-483d-a9b0-a0e6da559c0f","resolution":{"observed_at":"2026-08-11T20:56:41.488319Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-11T20:56:41.452839Z","title":"Slam++: Simultaneous localisation and mapping at the level of objects","venue":null,"work_id":"8c03b7ea-445b-4328-8125-5c572e357121","year":2013},"citing_paper":{"arxiv_id":"2412.05154","last_updated":"2024-12-06T16:12:38Z","snapshot_observed_at":"2026-08-19T15:24:39.510617Z","submitted_at":"2024-12-06T16:12:38Z","title":"Towards Flexible 3D Perception: Object-Centric Occupancy Completion Augments 3D Object Detection","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-11T20:56:41.070694Z"},"links":{"citing_paper":"/paper/2412.05154"},"observation_digest":"sha256:e95dec0b21a2b47923eea84c3e84582b7600fa9913a3756da040bc1ac5bdbd8a","observation_id":"630c0c05-61b1-4f48-bf68-ccf870a8ab67","resolution":{"observed_at":"2026-08-11T20:56:41.468240Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-11T20:56:41.439106Z","title":"Pv-rcnn++: Point-voxel feature set abstraction with local vector representa- tion for 3d object detection","venue":null,"work_id":"a7c77a99-eeb9-4b14-86a2-0dc3589372c1","year":2023},"citing_paper":{"arxiv_id":"2412.05154","last_updated":"2024-12-06T16:12:38Z","snapshot_observed_at":"2026-08-19T15:24:39.510617Z","submitted_at":"2024-12-06T16:12:38Z","title":"Towards Flexible 3D Perception: Object-Centric Occupancy Completion Augments 3D Object Detection","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-11T20:56:41.074989Z"},"links":{"citing_paper":"/paper/2412.05154"},"observation_digest":"sha256:86120f511ebe598c7280596de671b2d4d4b539c9a2f8229ee2626a64aa0c19d5","observation_id":"fff5e455-fa63-4981-bd95-fa60e349dcfc","resolution":{"observed_at":"2026-08-11T20:56:41.443450Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-11T20:56:41.425206Z","title":"Pointrcnn: 3d object proposal generation and detection from point cloud","venue":null,"work_id":"c83e0c55-4c45-4144-9df3-80d9f1f94115","year":2019},"citing_paper":{"arxiv_id":"2412.05154","last_updated":"2024-12-06T16:12:38Z","snapshot_observed_at":"2026-08-19T15:24:39.510617Z","submitted_at":"2024-12-06T16:12:38Z","title":"Towards Flexible 3D Perception: Object-Centric Occupancy Completion Augments 3D Object Detection","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-11T20:56:41.079786Z"},"links":{"citing_paper":"/paper/2412.05154"},"observation_digest":"sha256:30575adb3540405fc6f47a94420716c2718809772acf5354bd9560bf5427ef43","observation_id":"3fa985a5-444e-4668-b240-765664ecd133","resolution":{"observed_at":"2026-08-11T20:56:41.429797Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-11T20:56:41.411117Z","title":"Semantic scene completion from a single depth image","venue":null,"work_id":"744087d3-d93b-4872-9d8d-5a96886e7574","year":2017},"citing_paper":{"arxiv_id":"2412.05154","last_updated":"2024-12-06T16:12:38Z","snapshot_observed_at":"2026-08-19T15:24:39.510617Z","submitted_at":"2024-12-06T16:12:38Z","title":"Towards Flexible 3D Perception: Object-Centric Occupancy Completion Augments 3D Object Detection","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-11T20:56:41.084078Z"},"links":{"citing_paper":"/paper/2412.05154"},"observation_digest":"sha256:a99f2781cbe24f312c60347a29299b05149b1683be23d14a7d15e77581ae8f68","observation_id":"b8003ce7-3715-440f-9b0f-bdd71dca8585","resolution":{"observed_at":"2026-08-11T20:56:41.415532Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-11T20:56:41.397888Z","title":"Scalability in perception for autonomous driving: Waymo open dataset","venue":null,"work_id":"b9996e03-e2b9-4033-b5d3-efb92d089782","year":2020},"citing_paper":{"arxiv_id":"2412.05154","last_updated":"2024-12-06T16:12:38Z","snapshot_observed_at":"2026-08-19T15:24:39.510617Z","submitted_at":"2024-12-06T16:12:38Z","title":"Towards Flexible 3D Perception: Object-Centric Occupancy Completion Augments 3D Object Detection","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-11T20:56:41.088814Z"},"links":{"citing_paper":"/paper/2412.05154"},"observation_digest":"sha256:97d06db13fc8f784492dd8a28f13813180c6cea0e63cbdd3e2fc0b315f00e05e","observation_id":"fbba3f8a-b8d4-4157-a2dd-dd696f0c091a","resolution":{"observed_at":"2026-08-11T20:56:41.402532Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-11T20:56:41.385343Z","title":"Swformer: Sparse window transformer for 3d object detection in point clouds","venue":null,"work_id":"0a468036-d582-4844-9cd4-b491a06538ec","year":2022},"citing_paper":{"arxiv_id":"2412.05154","last_updated":"2024-12-06T16:12:38Z","snapshot_observed_at":"2026-08-19T15:24:39.510617Z","submitted_at":"2024-12-06T16:12:38Z","title":"Towards Flexible 3D Perception: Object-Centric Occupancy Completion Augments 3D Object Detection","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-11T20:56:41.093796Z"},"links":{"citing_paper":"/paper/2412.05154"},"observation_digest":"sha256:c72a91f9e5994d3b94521ae067d06b17f4c755441ca9d810e33d9693bcb054f8","observation_id":"acd006c6-35ce-4604-8eeb-96de6568a844","resolution":{"observed_at":"2026-08-11T20:56:41.389499Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-11T20:56:41.372681Z","title":"Occ3d: A large-scale 3d occupancy prediction benchmark for autonomous driving","venue":null,"work_id":"0e6554ff-33cf-45dd-8696-01ace4f96007","year":2024},"citing_paper":{"arxiv_id":"2412.05154","last_updated":"2024-12-06T16:12:38Z","snapshot_observed_at":"2026-08-19T15:24:39.510617Z","submitted_at":"2024-12-06T16:12:38Z","title":"Towards Flexible 3D Perception: Object-Centric Occupancy Completion Augments 3D Object Detection","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-11T20:56:41.098395Z"},"links":{"citing_paper":"/paper/2412.05154"},"observation_digest":"sha256:219a170bc32fb8ee988aa5472a4b5e990df1d5ffa19d52a62db3252ac3d7e86d","observation_id":"f5b81aa8-738c-4ca0-8f9f-d4c3e850f58f","resolution":{"observed_at":"2026-08-11T20:56:41.376884Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-11T20:56:41.358282Z","title":"Scene as occupancy","venue":null,"work_id":"6a88f8f7-fb0d-4ede-879b-450bbc2afcbb","year":2023},"citing_paper":{"arxiv_id":"2412.05154","last_updated":"2024-12-06T16:12:38Z","snapshot_observed_at":"2026-08-19T15:24:39.510617Z","submitted_at":"2024-12-06T16:12:38Z","title":"Towards Flexible 3D Perception: Object-Centric Occupancy Completion Augments 3D Object Detection","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-11T20:56:41.102797Z"},"links":{"citing_paper":"/paper/2412.05154"},"observation_digest":"sha256:04de86fa62a0b2575b3a04ae5961ede1158018f03314919dc1ae14b876c5416f","observation_id":"27478142-b066-42f1-8b5a-1c398e68afd5","resolution":{"observed_at":"2026-08-11T20:56:41.362770Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-11T20:56:41.344136Z","title":"Attention is all you need","venue":null,"work_id":"8e94e7f8-b784-4774-92ce-709265e44fb3","year":2017},"citing_paper":{"arxiv_id":"2412.05154","last_updated":"2024-12-06T16:12:38Z","snapshot_observed_at":"2026-08-19T15:24:39.510617Z","submitted_at":"2024-12-06T16:12:38Z","title":"Towards Flexible 3D Perception: Object-Centric Occupancy Completion Augments 3D Object Detection","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-11T20:56:41.107566Z"},"links":{"citing_paper":"/paper/2412.05154"},"observation_digest":"sha256:b0c163e1bfd057777b446327fbfdb5c5e3fead365ebf273ab472c36dc3505815","observation_id":"ccc60d22-5208-4109-8e30-3d8560bf0fe6","resolution":{"observed_at":"2026-08-11T20:56:41.348754Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2111.13672","last_updated":"2021-11-26T18:53:18Z","snapshot_observed_at":"2026-08-19T15:04:41.901842Z","submitted_at":"2021-11-26T18:53:18Z","title":"Immortal Tracker: Tracklet Never Dies","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2111.13672","snapshot_observed_at":"2026-08-11T20:56:41.112097Z","title":"Immortal tracker: Tracklet never dies","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2412.05154","last_updated":"2024-12-06T16:12:38Z","snapshot_observed_at":"2026-08-19T15:24:39.510617Z","submitted_at":"2024-12-06T16:12:38Z","title":"Towards Flexible 3D Perception: Object-Centric Occupancy Completion Augments 3D Object Detection","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-11T20:56:41.112097Z"},"links":{"cited_paper":"/paper/2111.13672","citing_paper":"/paper/2412.05154"},"observation_digest":"sha256:939afcd705b65b9a4327a2f1b58223618c6112ed3f7af49e75d356c2760d6cf7","observation_id":"aa5bee19-df86-485f-b7e2-814d8605094e","resolution":{"observed_at":"2026-08-11T20:56:41.112097Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.03991","last_updated":"2023-03-07T15:43:39Z","snapshot_observed_at":"2026-08-18T16:50:55.167816Z","submitted_at":"2023-03-07T15:43:39Z","title":"OpenOccupancy: A Large Scale Benchmark for Surrounding Semantic Occupancy Perception","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.03991","snapshot_observed_at":"2026-08-11T20:56:41.116980Z","title":"Openoccupancy: A large scale benchmark for surrounding semantic occupancy perception","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.05154","last_updated":"2024-12-06T16:12:38Z","snapshot_observed_at":"2026-08-19T15:24:39.510617Z","submitted_at":"2024-12-06T16:12:38Z","title":"Towards Flexible 3D Perception: Object-Centric Occupancy Completion Augments 3D Object Detection","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-11T20:56:41.116980Z"},"links":{"cited_paper":"/paper/2303.03991","citing_paper":"/paper/2412.05154"},"observation_digest":"sha256:cd8bc28bfcb9ee2a23877f842d22c80b5b68efa631e67699c5e93915d7373f54","observation_id":"b86d01a4-db64-4ae6-a9bd-8cf6516345bd","resolution":{"observed_at":"2026-08-11T20:56:41.116980Z","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":"2026-08-11T20:56:41.329999Z","title":"Surroundocc: Multi-camera 3d occupancy prediction for autonomous driving","venue":null,"work_id":"661d01b2-486c-4ace-89e6-c2a8f8c77071","year":2023},"citing_paper":{"arxiv_id":"2412.05154","last_updated":"2024-12-06T16:12:38Z","snapshot_observed_at":"2026-08-19T15:24:39.510617Z","submitted_at":"2024-12-06T16:12:38Z","title":"Towards Flexible 3D Perception: Object-Centric Occupancy Completion Augments 3D Object Detection","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-11T20:56:41.121517Z"},"links":{"citing_paper":"/paper/2412.05154"},"observation_digest":"sha256:86970c9afe144307613f209b24da27097764a4516bf3fbd3a1be180208ccafcb","observation_id":"b0a73aaf-0bd1-45e5-94ca-afbadf274cc2","resolution":{"observed_at":"2026-08-11T20:56:41.334683Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-11T20:56:41.315651Z","title":"Scpnet: Semantic scene completion on point cloud","venue":null,"work_id":"0ff75cad-9a41-460c-8a76-584a1be52fb9","year":2023},"citing_paper":{"arxiv_id":"2412.05154","last_updated":"2024-12-06T16:12:38Z","snapshot_observed_at":"2026-08-19T15:24:39.510617Z","submitted_at":"2024-12-06T16:12:38Z","title":"Towards Flexible 3D Perception: Object-Centric Occupancy Completion Augments 3D Object Detection","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-11T20:56:41.126149Z"},"links":{"citing_paper":"/paper/2412.05154"},"observation_digest":"sha256:f512bf55354a59712bd9366bc9b8725f4e97fe781819a585802c334d5cdbcb24","observation_id":"f65a2bf7-76bf-4e7e-b53a-3353ba3da1ef","resolution":{"observed_at":"2026-08-11T20:56:41.320138Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-11T20:56:41.300315Z","title":"Sparse single sweep lidar point cloud segmentation via learning contextual shape priors from scene completion","venue":null,"work_id":"3d2de631-b4c0-4008-ae1d-4ee60b10a65f","year":2021},"citing_paper":{"arxiv_id":"2412.05154","last_updated":"2024-12-06T16:12:38Z","snapshot_observed_at":"2026-08-19T15:24:39.510617Z","submitted_at":"2024-12-06T16:12:38Z","title":"Towards Flexible 3D Perception: Object-Centric Occupancy Completion Augments 3D Object Detection","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-11T20:56:41.131003Z"},"links":{"citing_paper":"/paper/2412.05154"},"observation_digest":"sha256:924077da1f639282b714e2a1f68fcd5872f8d1f8e9532d99e7ac77c1df2eccfa","observation_id":"324e7c8b-b34e-4517-8adf-9f50033f2a65","resolution":{"observed_at":"2026-08-11T20:56:41.305469Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-11T20:56:41.285316Z","title":"3d-man: 3d multi-frame attention network for object detection","venue":null,"work_id":"6f62e42b-6744-4098-8a64-1a81752ee235","year":2021},"citing_paper":{"arxiv_id":"2412.05154","last_updated":"2024-12-06T16:12:38Z","snapshot_observed_at":"2026-08-19T15:24:39.510617Z","submitted_at":"2024-12-06T16:12:38Z","title":"Towards Flexible 3D Perception: Object-Centric Occupancy Completion Augments 3D Object Detection","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-11T20:56:41.135923Z"},"links":{"citing_paper":"/paper/2412.05154"},"observation_digest":"sha256:b319cd72fd6c7e47f88e402d7fdc21a069186576273027b707d5f70b324704a7","observation_id":"88ba065d-eaf0-4730-a969-ac02e44a3039","resolution":{"observed_at":"2026-08-11T20:56:41.289937Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-11T20:56:41.271718Z","title":"Center-based 3d object detection and tracking","venue":null,"work_id":"94b9a38d-5122-41a6-827a-789bca8d5f13","year":2021},"citing_paper":{"arxiv_id":"2412.05154","last_updated":"2024-12-06T16:12:38Z","snapshot_observed_at":"2026-08-19T15:24:39.510617Z","submitted_at":"2024-12-06T16:12:38Z","title":"Towards Flexible 3D Perception: Object-Centric Occupancy Completion Augments 3D Object Detection","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-11T20:56:41.140640Z"},"links":{"citing_paper":"/paper/2412.05154"},"observation_digest":"sha256:693f90c46917a94105275ab5f53c84d8ca3b70d573da3c15f5b7bf7752bc7328","observation_id":"66e032f2-10ba-4778-a52e-364d3e1909e8","resolution":{"observed_at":"2026-08-11T20:56:41.276120Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-11T20:56:41.257245Z","title":"Monosdf: Exploring monocular geometric cues for neural implicit surface reconstruction","venue":null,"work_id":"0ede5670-74cb-4bba-9fbf-aab8af5dbd25","year":2022},"citing_paper":{"arxiv_id":"2412.05154","last_updated":"2024-12-06T16:12:38Z","snapshot_observed_at":"2026-08-19T15:24:39.510617Z","submitted_at":"2024-12-06T16:12:38Z","title":"Towards Flexible 3D Perception: Object-Centric Occupancy Completion Augments 3D Object Detection","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-11T20:56:41.144896Z"},"links":{"citing_paper":"/paper/2412.05154"},"observation_digest":"sha256:3068bd7ba498b4f9d2c86e19dad5c82171a5316a7c4299429f6f1b26b25a6ee0","observation_id":"48782c65-2083-4346-9e93-f07856f1f6d7","resolution":{"observed_at":"2026-08-11T20:56:41.261868Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-11T20:56:41.242926Z","title":"Hednet: A hierarchical encoder-decoder network for 3d object detection in point clouds","venue":null,"work_id":"c49b3549-c287-443f-b2ff-e52f41ec68b8","year":2024},"citing_paper":{"arxiv_id":"2412.05154","last_updated":"2024-12-06T16:12:38Z","snapshot_observed_at":"2026-08-19T15:24:39.510617Z","submitted_at":"2024-12-06T16:12:38Z","title":"Towards Flexible 3D Perception: Object-Centric Occupancy Completion Augments 3D Object Detection","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-11T20:56:41.149155Z"},"links":{"citing_paper":"/paper/2412.05154"},"observation_digest":"sha256:c1971b02a0f1e7d9e1e68e2f111395a1658b03870a72136b1ea34ce1256bbd3b","observation_id":"f06d58d4-0f5e-4ee7-a8f2-a7cb7a382ddd","resolution":{"observed_at":"2026-08-11T20:56:41.247690Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-11T20:56:41.227036Z","title":"Centerformer: Center-based transformer for 3d object detection","venue":null,"work_id":"7c17b60d-7164-4164-9ed4-b5f5bbdbf44d","year":2022},"citing_paper":{"arxiv_id":"2412.05154","last_updated":"2024-12-06T16:12:38Z","snapshot_observed_at":"2026-08-19T15:24:39.510617Z","submitted_at":"2024-12-06T16:12:38Z","title":"Towards Flexible 3D Perception: Object-Centric Occupancy Completion Augments 3D Object Detection","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-11T20:56:41.153385Z"},"links":{"citing_paper":"/paper/2412.05154"},"observation_digest":"sha256:ddaeaf068ce87748f76bef889e06c7685573082f2677315d633d357f246eff96","observation_id":"76c5aba2-0bf7-4c41-af9b-a829af7c19fa","resolution":{"observed_at":"2026-08-11T20:56:41.232970Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2412.05154","last_updated":"2024-12-06T16:12:38Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-19T15:24:39.510617Z","submitted_at":"2024-12-06T16:12:38Z","title":"Towards Flexible 3D Perception: Object-Centric Occupancy Completion Augments 3D Object Detection"},"reference_resolution":{"displayed":41,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":5,"verified_exact":0,"verified_fuzzy":36},"total_outbound_references":41},"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":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"thesis":"As of 19 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 0 inbound Pith citation observations for arXiv:2412.05154."}