{"as_of":"2026-08-12T21:31:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:a2f96df41f91dc9cf1d521f5adfab7154e36a116f91fe6088fad8c57a19d2290","coverage":[{"denominator":61,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":61,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-11T13:04:03.542977Z","state":"measured"},{"denominator":61,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":61,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-12T06:34:41.77262+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/2412.13569/citation-record","integrity":"/paper/2412.13569/integrity","json":"/paper/2412.13569/citation-record.json","paper":"/paper/2412.13569"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T13:04:04.240767Z","title":null,"venue":null,"work_id":"8e144a91-8e93-43dd-a942-3842bb076618","year":1987},"citing_paper":{"arxiv_id":"2412.13569","last_updated":"2024-12-18T07:35:42Z","snapshot_observed_at":"2026-08-12T21:11:50.712131Z","submitted_at":"2024-12-18T07:35:42Z","title":"Multi-View Pedestrian Occupancy Prediction with a Novel Synthetic Dataset","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-11T13:04:03.313135Z"},"links":{"citing_paper":"/paper/2412.13569"},"observation_digest":"sha256:06acbfbc437054bc15e4fe0491ed38b727711eb9f37c0a40c4d1447fd80e6ee2","observation_id":"05205707-ee01-4e4d-87b3-46404b14dfdd","resolution":{"observed_at":"2026-08-11T13:04:04.244449Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T13:04:04.229503Z","title":null,"venue":null,"work_id":"277e929b-9e59-4640-b73f-3005822e1211","year":2024},"citing_paper":{"arxiv_id":"2412.13569","last_updated":"2024-12-18T07:35:42Z","snapshot_observed_at":"2026-08-12T21:11:50.712131Z","submitted_at":"2024-12-18T07:35:42Z","title":"Multi-View Pedestrian Occupancy Prediction with a Novel Synthetic Dataset","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-11T13:04:03.317731Z"},"links":{"citing_paper":"/paper/2412.13569"},"observation_digest":"sha256:dc54cecdbe3a4eca7ce355aa933e4713a98c7678569eba8c90458a6ad923585c","observation_id":"0ce56a27-d570-41e4-8daa-4160344e0e8c","resolution":{"observed_at":"2026-08-11T13:04:04.233197Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T13:04:04.217704Z","title":"R.; and Blaschko, M","venue":null,"work_id":"f667bf03-a497-48f6-8925-a0a5a0b75692","year":2018},"citing_paper":{"arxiv_id":"2412.13569","last_updated":"2024-12-18T07:35:42Z","snapshot_observed_at":"2026-08-12T21:11:50.712131Z","submitted_at":"2024-12-18T07:35:42Z","title":"Multi-View Pedestrian Occupancy Prediction with a Novel Synthetic Dataset","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-11T13:04:03.321601Z"},"links":{"citing_paper":"/paper/2412.13569"},"observation_digest":"sha256:5452ada5d42f9952eae69779edfb832b5ba31f3cdbafd491f9d79e76acd46e76","observation_id":"4729f830-653e-4d6b-9b7d-d30407cad229","resolution":{"observed_at":"2026-08-11T13:04:04.221841Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T13:04:04.205713Z","title":null,"venue":null,"work_id":"18052e4e-82d3-4462-a99d-97087b8fd886","year":2022},"citing_paper":{"arxiv_id":"2412.13569","last_updated":"2024-12-18T07:35:42Z","snapshot_observed_at":"2026-08-12T21:11:50.712131Z","submitted_at":"2024-12-18T07:35:42Z","title":"Multi-View Pedestrian Occupancy Prediction with a Novel Synthetic Dataset","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-11T13:04:03.325604Z"},"links":{"citing_paper":"/paper/2412.13569"},"observation_digest":"sha256:007c2d450b194252f996e5272e0ce16661b00ae7409368f8115912d7dcfdf3bc","observation_id":"1ec68e67-6702-4436-bf2f-121316218e10","resolution":{"observed_at":"2026-08-11T13:04:04.209528Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T13:04:04.194483Z","title":null,"venue":null,"work_id":"a6df7427-90cc-434d-85f0-56af9b438855","year":2018},"citing_paper":{"arxiv_id":"2412.13569","last_updated":"2024-12-18T07:35:42Z","snapshot_observed_at":"2026-08-12T21:11:50.712131Z","submitted_at":"2024-12-18T07:35:42Z","title":"Multi-View Pedestrian Occupancy Prediction with a Novel Synthetic Dataset","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-11T13:04:03.329689Z"},"links":{"citing_paper":"/paper/2412.13569"},"observation_digest":"sha256:8b9d3f6218d2b1ead4f42a1ac401d85834f8e5f1eba15e96d70fb10336f564e9","observation_id":"9d1c7682-feb3-4881-876b-f365063ded5b","resolution":{"observed_at":"2026-08-11T13:04:04.198244Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T13:04:04.183710Z","title":null,"venue":null,"work_id":"7bc02eaa-609a-4216-9b26-98966fc08cab","year":2020},"citing_paper":{"arxiv_id":"2412.13569","last_updated":"2024-12-18T07:35:42Z","snapshot_observed_at":"2026-08-12T21:11:50.712131Z","submitted_at":"2024-12-18T07:35:42Z","title":"Multi-View Pedestrian Occupancy Prediction with a Novel Synthetic Dataset","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-11T13:04:03.333936Z"},"links":{"citing_paper":"/paper/2412.13569"},"observation_digest":"sha256:b0d466f87e102956e86c4c6584665c71a13a2e4427a71f5307585747d5f4b0e6","observation_id":"875828f7-fc09-4dd5-b85e-38d6b530d1a0","resolution":{"observed_at":"2026-08-11T13:04:04.187036Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T13:04:04.172963Z","title":"S.; Brox, T.; and Ronneberger, O","venue":null,"work_id":"6874ed77-55b4-4bf6-b187-f1f758da9031","year":2016},"citing_paper":{"arxiv_id":"2412.13569","last_updated":"2024-12-18T07:35:42Z","snapshot_observed_at":"2026-08-12T21:11:50.712131Z","submitted_at":"2024-12-18T07:35:42Z","title":"Multi-View Pedestrian Occupancy Prediction with a Novel Synthetic Dataset","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-11T13:04:03.338536Z"},"links":{"citing_paper":"/paper/2412.13569"},"observation_digest":"sha256:a6869cdbf8e5f3e22b9159fb24c7bd4c9f9e0a81c4a37b79b37ccb617949185e","observation_id":"4aa7b760-5f3d-47d6-b911-1d13014bafc0","resolution":{"observed_at":"2026-08-11T13:04:04.176758Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T13:04:04.162025Z","title":null,"venue":null,"work_id":"f881e09f-a8fa-4b5f-b11e-dc6db40d30aa","year":2019},"citing_paper":{"arxiv_id":"2412.13569","last_updated":"2024-12-18T07:35:42Z","snapshot_observed_at":"2026-08-12T21:11:50.712131Z","submitted_at":"2024-12-18T07:35:42Z","title":"Multi-View Pedestrian Occupancy Prediction with a Novel Synthetic Dataset","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-11T13:04:03.342424Z"},"links":{"citing_paper":"/paper/2412.13569"},"observation_digest":"sha256:f7213775abed989444db065f9f020a0d1ce9282be8c3292890442e705bcf0a49","observation_id":"6fcd474b-e471-4a34-b4f9-40058331b6c0","resolution":{"observed_at":"2026-08-11T13:04:04.165534Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T13:04:03.346300Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2412.13569","last_updated":"2024-12-18T07:35:42Z","snapshot_observed_at":"2026-08-12T21:11:50.712131Z","submitted_at":"2024-12-18T07:35:42Z","title":"Multi-View Pedestrian Occupancy Prediction with a Novel Synthetic Dataset","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-11T13:04:03.346300Z"},"links":{"citing_paper":"/paper/2412.13569"},"observation_digest":"sha256:5d7bda35c6aa462a094939c04cd547b7f0867d92af2f8b64617c8ab18e928a5d","observation_id":"1442edb3-ec81-42c6-84b7-d715191f54b9","resolution":{"observed_at":"2026-08-11T13:04:03.346300Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2308.00628","last_updated":"2023-08-06T14:47:00Z","snapshot_observed_at":"2026-08-11T11:48:23.021824Z","submitted_at":"2023-08-01T15:55:41Z","title":"Human-M3: A Multi-view Multi-modal Dataset for 3D Human Pose Estimation in Outdoor Scenes","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2308.00628","snapshot_observed_at":"2026-08-11T13:04:03.350056Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.13569","last_updated":"2024-12-18T07:35:42Z","snapshot_observed_at":"2026-08-12T21:11:50.712131Z","submitted_at":"2024-12-18T07:35:42Z","title":"Multi-View Pedestrian Occupancy Prediction with a Novel Synthetic Dataset","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-11T13:04:03.350056Z"},"links":{"cited_paper":"/paper/2308.00628","citing_paper":"/paper/2412.13569"},"observation_digest":"sha256:ecb1aceb6dcdf83dbf7fa4ab930f631d33ca6eaf3584278571684a220da6513a","observation_id":"aad667ae-1360-457b-8265-6afc106a0c70","resolution":{"observed_at":"2026-08-11T13:04:03.350056Z","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":"2026-08-11T13:04:04.142972Z","title":null,"venue":null,"work_id":"9b8129b9-326a-408d-bb9b-90890fd36336","year":2023},"citing_paper":{"arxiv_id":"2412.13569","last_updated":"2024-12-18T07:35:42Z","snapshot_observed_at":"2026-08-12T21:11:50.712131Z","submitted_at":"2024-12-18T07:35:42Z","title":"Multi-View Pedestrian Occupancy Prediction with a Novel Synthetic Dataset","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-11T13:04:03.354499Z"},"links":{"citing_paper":"/paper/2412.13569"},"observation_digest":"sha256:43ef0bbddb217522a316a01f16f01e45e79d23a67e67e19834a823c0a2aa4eb8","observation_id":"3f124f9f-cfff-4bfb-b33a-ad5638e8bd73","resolution":{"observed_at":"2026-08-11T13:04:04.146777Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2303.10076","last_updated":"2023-11-17T04:25:19Z","snapshot_observed_at":"2026-08-12T02:59:02.926244Z","submitted_at":"2023-03-17T15:57:14Z","title":"A Simple Framework for 3D Occupancy Estimation in Autonomous Driving","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.10076","snapshot_observed_at":"2026-08-11T13:04:03.358407Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.13569","last_updated":"2024-12-18T07:35:42Z","snapshot_observed_at":"2026-08-12T21:11:50.712131Z","submitted_at":"2024-12-18T07:35:42Z","title":"Multi-View Pedestrian Occupancy Prediction with a Novel Synthetic Dataset","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-11T13:04:03.358407Z"},"links":{"cited_paper":"/paper/2303.10076","citing_paper":"/paper/2412.13569"},"observation_digest":"sha256:6dbd3f983f22737ef4bda6ea47d1f5d1bd1a6ae3713ba6260d629eb77c91f7b6","observation_id":"6883193e-ff2f-45bc-83b1-08ec78eb98bd","resolution":{"observed_at":"2026-08-11T13:04:03.358407Z","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":"2026-08-11T13:04:04.131380Z","title":null,"venue":null,"work_id":"096cffd8-ba52-4326-bbf9-621b886b68cb","year":2021},"citing_paper":{"arxiv_id":"2412.13569","last_updated":"2024-12-18T07:35:42Z","snapshot_observed_at":"2026-08-12T21:11:50.712131Z","submitted_at":"2024-12-18T07:35:42Z","title":"Multi-View Pedestrian Occupancy Prediction with a Novel Synthetic Dataset","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-11T13:04:03.362382Z"},"links":{"citing_paper":"/paper/2412.13569"},"observation_digest":"sha256:269ab5acb68aa74f20d1df22e9626f51bda9383172da5e2a71c074517db233c0","observation_id":"3846b0e2-6576-44e6-8023-127615ccd31c","resolution":{"observed_at":"2026-08-11T13:04:04.134992Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T13:04:04.119239Z","title":"W.; Fang, Z.; Li, J.; Ambrus, R.; and Fragkiadaki, K","venue":null,"work_id":"f3e63b8e-4670-4933-be1f-7d8f03cc4844","year":2023},"citing_paper":{"arxiv_id":"2412.13569","last_updated":"2024-12-18T07:35:42Z","snapshot_observed_at":"2026-08-12T21:11:50.712131Z","submitted_at":"2024-12-18T07:35:42Z","title":"Multi-View Pedestrian Occupancy Prediction with a Novel Synthetic Dataset","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-11T13:04:03.369088Z"},"links":{"citing_paper":"/paper/2412.13569"},"observation_digest":"sha256:927d5974e1171d513bd4e7691e18f5756a9093093984df8028699a0748d30d34","observation_id":"269ade51-2516-4968-8bcb-d5f54272370e","resolution":{"observed_at":"2026-08-11T13:04:04.123377Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T13:04:03.373377Z","title":null,"venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2412.13569","last_updated":"2024-12-18T07:35:42Z","snapshot_observed_at":"2026-08-12T21:11:50.712131Z","submitted_at":"2024-12-18T07:35:42Z","title":"Multi-View Pedestrian Occupancy Prediction with a Novel Synthetic Dataset","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-11T13:04:03.373377Z"},"links":{"citing_paper":"/paper/2412.13569"},"observation_digest":"sha256:81d20e8ec8ba88749076d8206c20091fe9b4640e716724646ff75bf3b93b17f7","observation_id":"74115cfe-75b2-4178-8fa4-e193cca1ae00","resolution":{"observed_at":"2026-08-11T13:04:03.373377Z","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":"2026-08-11T13:04:04.099226Z","title":null,"venue":null,"work_id":"ed76fd55-e7e0-4ee3-9f31-38cff8d35bfe","year":2021},"citing_paper":{"arxiv_id":"2412.13569","last_updated":"2024-12-18T07:35:42Z","snapshot_observed_at":"2026-08-12T21:11:50.712131Z","submitted_at":"2024-12-18T07:35:42Z","title":"Multi-View Pedestrian Occupancy Prediction with a Novel Synthetic Dataset","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-11T13:04:03.377199Z"},"links":{"citing_paper":"/paper/2412.13569"},"observation_digest":"sha256:66bd9e0cebd69ddac7776194dbb0bb6910e5713c83cfde61ca4c1fea42f9b560","observation_id":"2d16559f-a356-467c-88f4-8c206fc4aa3b","resolution":{"observed_at":"2026-08-11T13:04:04.103439Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T13:04:04.084504Z","title":null,"venue":null,"work_id":"853cbca4-f0c7-4ee8-bad2-2eab41c97f64","year":2020},"citing_paper":{"arxiv_id":"2412.13569","last_updated":"2024-12-18T07:35:42Z","snapshot_observed_at":"2026-08-12T21:11:50.712131Z","submitted_at":"2024-12-18T07:35:42Z","title":"Multi-View Pedestrian Occupancy Prediction with a Novel Synthetic Dataset","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-11T13:04:03.380944Z"},"links":{"citing_paper":"/paper/2412.13569"},"observation_digest":"sha256:12676ce5bc42819bfbbea2710855bf508a0a87ed2a5333c006d3d6f4bfa8d3eb","observation_id":"ecc7c958-3103-4adf-8593-8991d9804d2d","resolution":{"observed_at":"2026-08-11T13:04:04.089565Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2311.12754","last_updated":"2023-11-29T15:19:38Z","snapshot_observed_at":"2026-07-06T16:50:38.874172Z","submitted_at":"2023-11-21T17:59:14Z","title":"SelfOcc: Self-Supervised Vision-Based 3D Occupancy Prediction","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.12754","snapshot_observed_at":"2026-08-11T13:04:03.384838Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.13569","last_updated":"2024-12-18T07:35:42Z","snapshot_observed_at":"2026-08-12T21:11:50.712131Z","submitted_at":"2024-12-18T07:35:42Z","title":"Multi-View Pedestrian Occupancy Prediction with a Novel Synthetic Dataset","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-11T13:04:03.384838Z"},"links":{"cited_paper":"/paper/2311.12754","citing_paper":"/paper/2412.13569"},"observation_digest":"sha256:0208c1622c1b32cb0a9ee8081ecbcea92efbd8f8de0f419094544edc7edadc85","observation_id":"d883a4ef-a98e-4777-8a25-61d814f3659d","resolution":{"observed_at":"2026-08-11T13:04:03.384838Z","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":"2026-08-11T13:04:04.069191Z","title":null,"venue":null,"work_id":"64dec58d-d004-4623-b27d-5f0aeaceec9c","year":2023},"citing_paper":{"arxiv_id":"2412.13569","last_updated":"2024-12-18T07:35:42Z","snapshot_observed_at":"2026-08-12T21:11:50.712131Z","submitted_at":"2024-12-18T07:35:42Z","title":"Multi-View Pedestrian Occupancy Prediction with a Novel Synthetic Dataset","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-11T13:04:03.388704Z"},"links":{"citing_paper":"/paper/2412.13569"},"observation_digest":"sha256:fd0f3b50803b4d52a779f6c13714733d86883c6e49e6046c843bfbe49677ad23","observation_id":"4e9d4720-49d7-4958-9a4e-1164d3a94b2b","resolution":{"observed_at":"2026-08-11T13:04:04.073456Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T13:04:04.057345Z","title":"Q.; Park, M.; and Park, S","venue":null,"work_id":"f52a640a-c990-4646-8bde-c28f4fb16d61","year":2023},"citing_paper":{"arxiv_id":"2412.13569","last_updated":"2024-12-18T07:35:42Z","snapshot_observed_at":"2026-08-12T21:11:50.712131Z","submitted_at":"2024-12-18T07:35:42Z","title":"Multi-View Pedestrian Occupancy Prediction with a Novel Synthetic Dataset","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-11T13:04:03.392328Z"},"links":{"citing_paper":"/paper/2412.13569"},"observation_digest":"sha256:a7f4abcf33914843e325fc9bb532212e335b0fc1ff8ad2c65a669ab6b2dc815c","observation_id":"235d2fff-9e67-4755-9722-692825248ba6","resolution":{"observed_at":"2026-08-11T13:04:04.061326Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T13:04:04.044747Z","title":null,"venue":null,"work_id":"dfdda833-017f-4575-924b-f65b02463954","year":2015},"citing_paper":{"arxiv_id":"2412.13569","last_updated":"2024-12-18T07:35:42Z","snapshot_observed_at":"2026-08-12T21:11:50.712131Z","submitted_at":"2024-12-18T07:35:42Z","title":"Multi-View Pedestrian Occupancy Prediction with a Novel Synthetic Dataset","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-11T13:04:03.395954Z"},"links":{"citing_paper":"/paper/2412.13569"},"observation_digest":"sha256:2943b8cc6d959488b8834eacad3f25fcc72e5d9acba34a58ce771ebf030289a1","observation_id":"c5d5e7a3-187e-4447-98ad-7a0af4e20fa0","resolution":{"observed_at":"2026-08-11T13:04:04.048645Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T13:04:04.032861Z","title":null,"venue":null,"work_id":"d51d0269-2807-42f3-a062-4d3d412aaa5d","year":2019},"citing_paper":{"arxiv_id":"2412.13569","last_updated":"2024-12-18T07:35:42Z","snapshot_observed_at":"2026-08-12T21:11:50.712131Z","submitted_at":"2024-12-18T07:35:42Z","title":"Multi-View Pedestrian Occupancy Prediction with a Novel Synthetic Dataset","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-11T13:04:03.399557Z"},"links":{"citing_paper":"/paper/2412.13569"},"observation_digest":"sha256:c08676ee768bfe79b66f3dfc37bae86571a04146f86c67c9eef6ae255b922247","observation_id":"c159adca-0d72-4985-9ee3-8226bcbab6ce","resolution":{"observed_at":"2026-08-11T13:04:04.036755Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2307.01492","last_updated":"2023-07-04T05:55:54Z","snapshot_observed_at":"2026-08-12T21:11:31.921723Z","submitted_at":"2023-07-04T05:55:54Z","title":"FB-OCC: 3D Occupancy Prediction based on Forward-Backward View Transformation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.01492","snapshot_observed_at":"2026-08-11T13:04:03.402642Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.13569","last_updated":"2024-12-18T07:35:42Z","snapshot_observed_at":"2026-08-12T21:11:50.712131Z","submitted_at":"2024-12-18T07:35:42Z","title":"Multi-View Pedestrian Occupancy Prediction with a Novel Synthetic Dataset","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-11T13:04:03.402642Z"},"links":{"cited_paper":"/paper/2307.01492","citing_paper":"/paper/2412.13569"},"observation_digest":"sha256:afacce42195d9fd4efacee8ab9759b0414cc06aa601670216614f38587165e17","observation_id":"21ee8eb3-d800-4de6-b941-2cfcb513a5cf","resolution":{"observed_at":"2026-08-11T13:04:03.402642Z","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":"2026-08-11T13:04:04.021251Z","title":null,"venue":null,"work_id":"233e197f-dded-41c9-885e-432e48a1b92e","year":2021},"citing_paper":{"arxiv_id":"2412.13569","last_updated":"2024-12-18T07:35:42Z","snapshot_observed_at":"2026-08-12T21:11:50.712131Z","submitted_at":"2024-12-18T07:35:42Z","title":"Multi-View Pedestrian Occupancy Prediction with a Novel Synthetic Dataset","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-11T13:04:03.406166Z"},"links":{"citing_paper":"/paper/2412.13569"},"observation_digest":"sha256:674faef37e9d0841d87ee2ed1f87d7f58cab2518bf6c5d262c68242f650ebf02","observation_id":"6e956fe2-37ea-451a-9adc-255efa9544ec","resolution":{"observed_at":"2026-08-11T13:04:04.025254Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T13:04:03.409683Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2412.13569","last_updated":"2024-12-18T07:35:42Z","snapshot_observed_at":"2026-08-12T21:11:50.712131Z","submitted_at":"2024-12-18T07:35:42Z","title":"Multi-View Pedestrian Occupancy Prediction with a Novel Synthetic Dataset","version":1},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-11T13:04:03.409683Z"},"links":{"citing_paper":"/paper/2412.13569"},"observation_digest":"sha256:05890fdede5be475047aee0412869321c8e1fa4abfbb644e5013d685d159eb54","observation_id":"7cee5070-e0a0-4341-9b6b-8117b48b1deb","resolution":{"observed_at":"2026-08-11T13:04:03.409683Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T13:04:03.413308Z","title":null,"venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2412.13569","last_updated":"2024-12-18T07:35:42Z","snapshot_observed_at":"2026-08-12T21:11:50.712131Z","submitted_at":"2024-12-18T07:35:42Z","title":"Multi-View Pedestrian Occupancy Prediction with a Novel Synthetic Dataset","version":1},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-11T13:04:03.413308Z"},"links":{"citing_paper":"/paper/2412.13569"},"observation_digest":"sha256:ea1fa3db2d67bddd124daa16a23ede5bea8e89443080a4625c13812b65c8844a","observation_id":"05117cae-e289-46db-9a4c-0aef58126188","resolution":{"observed_at":"2026-08-11T13:04:03.413308Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.17118","last_updated":"2024-07-19T03:01:09Z","snapshot_observed_at":"2026-08-10T04:08:41.105688Z","submitted_at":"2023-12-28T16:54:53Z","title":"Fully Sparse 3D Occupancy Prediction","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.17118","snapshot_observed_at":"2026-08-11T13:04:03.416703Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.13569","last_updated":"2024-12-18T07:35:42Z","snapshot_observed_at":"2026-08-12T21:11:50.712131Z","submitted_at":"2024-12-18T07:35:42Z","title":"Multi-View Pedestrian Occupancy Prediction with a Novel Synthetic Dataset","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-11T13:04:03.416703Z"},"links":{"cited_paper":"/paper/2312.17118","citing_paper":"/paper/2412.13569"},"observation_digest":"sha256:9c3c01ac2e3f33b440857c464ae561dea69871ce83b55444c044a335148af564","observation_id":"2b565543-ccd7-4aa3-9f20-2d101ef9e833","resolution":{"observed_at":"2026-08-11T13:04:03.416703Z","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":"2026-08-11T13:04:03.993766Z","title":"C.; Mart \\' nez, J","venue":null,"work_id":"b0e3992d-a070-45ec-b1c2-f216c89ee2f6","year":2022},"citing_paper":{"arxiv_id":"2412.13569","last_updated":"2024-12-18T07:35:42Z","snapshot_observed_at":"2026-08-12T21:11:50.712131Z","submitted_at":"2024-12-18T07:35:42Z","title":"Multi-View Pedestrian Occupancy Prediction with a Novel Synthetic Dataset","version":1},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-11T13:04:03.420971Z"},"links":{"citing_paper":"/paper/2412.13569"},"observation_digest":"sha256:a2e74c45f75acf4274f442437288aa1785e0a0edaf3a76628fc784d70c7d48cd","observation_id":"963a04f2-f2f0-4d14-9118-e3c08002d11e","resolution":{"observed_at":"2026-08-11T13:04:03.998069Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2302.13540","last_updated":"2023-02-27T06:35:03Z","snapshot_observed_at":"2026-08-11T20:21:03.232978Z","submitted_at":"2023-02-27T06:35:03Z","title":"OccDepth: A Depth-Aware Method for 3D Semantic Scene Completion","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2302.13540","snapshot_observed_at":"2026-08-11T13:04:03.424532Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.13569","last_updated":"2024-12-18T07:35:42Z","snapshot_observed_at":"2026-08-12T21:11:50.712131Z","submitted_at":"2024-12-18T07:35:42Z","title":"Multi-View Pedestrian Occupancy Prediction with a Novel Synthetic Dataset","version":1},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-11T13:04:03.424532Z"},"links":{"cited_paper":"/paper/2302.13540","citing_paper":"/paper/2412.13569"},"observation_digest":"sha256:ac422354b7cee142dc779b92319e05230269253451dc28634fc48aa2982fd4f3","observation_id":"f108b63f-ba44-4d6b-a536-7bd5bfd8d2ea","resolution":{"observed_at":"2026-08-11T13:04:03.424532Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T13:04:03.428842Z","title":"P.; Tancik, M.; Barron, J","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2412.13569","last_updated":"2024-12-18T07:35:42Z","snapshot_observed_at":"2026-08-12T21:11:50.712131Z","submitted_at":"2024-12-18T07:35:42Z","title":"Multi-View Pedestrian Occupancy Prediction with a Novel Synthetic Dataset","version":1},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-11T13:04:03.428842Z"},"links":{"citing_paper":"/paper/2412.13569"},"observation_digest":"sha256:75d7571b54b57a68190cebc7b9224a3298031a888e14358a541cb8f46833b262","observation_id":"cbcbce98-e8f4-443e-a4d0-b23e232b1987","resolution":{"observed_at":"2026-08-11T13:04:03.428842Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T13:04:03.432726Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2412.13569","last_updated":"2024-12-18T07:35:42Z","snapshot_observed_at":"2026-08-12T21:11:50.712131Z","submitted_at":"2024-12-18T07:35:42Z","title":"Multi-View Pedestrian Occupancy Prediction with a Novel Synthetic Dataset","version":1},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-08-11T13:04:03.432726Z"},"links":{"citing_paper":"/paper/2412.13569"},"observation_digest":"sha256:8a3a3f9cb4531203d8ab67b2d0fded0e4a2fa9d6f70b7620f928bbbe30b312c3","observation_id":"c645b61a-c99f-4781-9fe9-50c1da2e4675","resolution":{"observed_at":"2026-08-11T13:04:03.432726Z","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":"2026-08-11T13:04:03.968418Z","title":null,"venue":null,"work_id":"64081a01-fd9c-441c-ba03-c0a3ec7ee9f4","year":2020},"citing_paper":{"arxiv_id":"2412.13569","last_updated":"2024-12-18T07:35:42Z","snapshot_observed_at":"2026-08-12T21:11:50.712131Z","submitted_at":"2024-12-18T07:35:42Z","title":"Multi-View Pedestrian Occupancy Prediction with a Novel Synthetic Dataset","version":1},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-11T13:04:03.436257Z"},"links":{"citing_paper":"/paper/2412.13569"},"observation_digest":"sha256:af503c7d87fc027758032aa66e28123ab32365d60db37b1fbd07fc336abff51e","observation_id":"d79eb612-f072-4afd-9829-780e0a5a4efe","resolution":{"observed_at":"2026-08-11T13:04:03.971875Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T13:04:03.958092Z","title":"Q.-V.; Le, H","venue":null,"work_id":"fa3dc905-301e-4664-b4ee-171c59d2010d","year":2023},"citing_paper":{"arxiv_id":"2412.13569","last_updated":"2024-12-18T07:35:42Z","snapshot_observed_at":"2026-08-12T21:11:50.712131Z","submitted_at":"2024-12-18T07:35:42Z","title":"Multi-View Pedestrian Occupancy Prediction with a Novel Synthetic Dataset","version":1},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-11T13:04:03.439853Z"},"links":{"citing_paper":"/paper/2412.13569"},"observation_digest":"sha256:423e707b03d159859dc9306b8410338a9c614c93a86fbc2ab90a9c501929af56","observation_id":"c7728c14-60ca-414e-a605-b9e240c4cdc8","resolution":{"observed_at":"2026-08-11T13:04:03.961770Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2309.09502","last_updated":"2024-03-04T15:16:27Z","snapshot_observed_at":"2026-08-12T08:56:09.296301Z","submitted_at":"2023-09-18T06:08:15Z","title":"RenderOcc: Vision-Centric 3D Occupancy Prediction with 2D Rendering Supervision","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.09502","snapshot_observed_at":"2026-08-11T13:04:03.443621Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.13569","last_updated":"2024-12-18T07:35:42Z","snapshot_observed_at":"2026-08-12T21:11:50.712131Z","submitted_at":"2024-12-18T07:35:42Z","title":"Multi-View Pedestrian Occupancy Prediction with a Novel Synthetic Dataset","version":1},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-08-11T13:04:03.443621Z"},"links":{"cited_paper":"/paper/2309.09502","citing_paper":"/paper/2412.13569"},"observation_digest":"sha256:98d65e39c9a6cccfb3ce23c395462fb4e326450acc0fe28410c34af811511260","observation_id":"5c5333e0-f4d3-4d16-a9a5-78b096223940","resolution":{"observed_at":"2026-08-11T13:04:03.443621Z","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":"2026-08-11T13:04:03.947869Z","title":"S.; and Yang, X","venue":null,"work_id":"2546257b-e087-412b-87f9-a0f0675fd3fe","year":2022},"citing_paper":{"arxiv_id":"2412.13569","last_updated":"2024-12-18T07:35:42Z","snapshot_observed_at":"2026-08-12T21:11:50.712131Z","submitted_at":"2024-12-18T07:35:42Z","title":"Multi-View Pedestrian Occupancy Prediction with a Novel Synthetic Dataset","version":1},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-08-11T13:04:03.447599Z"},"links":{"citing_paper":"/paper/2412.13569"},"observation_digest":"sha256:56b5e8f775c3ab9b3ebfdf3adcae9520d4190c43067bb23af7c5f0b0dbb8d7b2","observation_id":"4212396f-a660-4712-8623-f77ef89c1559","resolution":{"observed_at":"2026-08-11T13:04:03.951224Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T13:04:03.936987Z","title":null,"venue":null,"work_id":"98edc87a-a891-4e61-8da8-7709f6fc0d29","year":2020},"citing_paper":{"arxiv_id":"2412.13569","last_updated":"2024-12-18T07:35:42Z","snapshot_observed_at":"2026-08-12T21:11:50.712131Z","submitted_at":"2024-12-18T07:35:42Z","title":"Multi-View Pedestrian Occupancy Prediction with a Novel Synthetic Dataset","version":1},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-08-11T13:04:03.451279Z"},"links":{"citing_paper":"/paper/2412.13569"},"observation_digest":"sha256:9d8a33ea63c04929a48f832f96f19a439f71c3d83987c700575ac455ffc0d029","observation_id":"5ad03313-5db7-4c90-91b9-6cb8d94b6c27","resolution":{"observed_at":"2026-08-11T13:04:03.940722Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T13:04:03.926173Z","title":null,"venue":null,"work_id":"0a0c0daa-5353-4fdf-9361-95f83d924ef4","year":2022},"citing_paper":{"arxiv_id":"2412.13569","last_updated":"2024-12-18T07:35:42Z","snapshot_observed_at":"2026-08-12T21:11:50.712131Z","submitted_at":"2024-12-18T07:35:42Z","title":"Multi-View Pedestrian Occupancy Prediction with a Novel Synthetic Dataset","version":1},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-08-11T13:04:03.455059Z"},"links":{"citing_paper":"/paper/2412.13569"},"observation_digest":"sha256:d283ae72cae638b4b95109ecb46337a1bf2c2f1aceeafc4bef903ee7bd05cd5e","observation_id":"619ffa73-a36e-48fd-af12-e1fe1dd91453","resolution":{"observed_at":"2026-08-11T13:04:03.929764Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2312.14150","last_updated":"2025-01-16T10:57:44Z","snapshot_observed_at":"2026-08-11T22:13:54.077535Z","submitted_at":"2023-12-21T18:59:12Z","title":"DriveLM: Driving with Graph Visual Question Answering","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.14150","snapshot_observed_at":"2026-08-11T13:04:03.459090Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.13569","last_updated":"2024-12-18T07:35:42Z","snapshot_observed_at":"2026-08-12T21:11:50.712131Z","submitted_at":"2024-12-18T07:35:42Z","title":"Multi-View Pedestrian Occupancy Prediction with a Novel Synthetic Dataset","version":1},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-08-11T13:04:03.459090Z"},"links":{"cited_paper":"/paper/2312.14150","citing_paper":"/paper/2412.13569"},"observation_digest":"sha256:b5421629e183b2242090dd1ff675984207cc8687bbe61d03e94685938dbbd445","observation_id":"902b6584-cc48-4afd-9446-753a12d36bdc","resolution":{"observed_at":"2026-08-11T13:04:03.459090Z","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":"2026-08-11T13:04:03.915099Z","title":null,"venue":null,"work_id":"a618a623-b5ed-471a-96ed-dab72c8ad067","year":2021},"citing_paper":{"arxiv_id":"2412.13569","last_updated":"2024-12-18T07:35:42Z","snapshot_observed_at":"2026-08-12T21:11:50.712131Z","submitted_at":"2024-12-18T07:35:42Z","title":"Multi-View Pedestrian Occupancy Prediction with a Novel Synthetic Dataset","version":1},"reference_index":39,"source":"arxiv_source","source_observed_at":"2026-08-11T13:04:03.462884Z"},"links":{"citing_paper":"/paper/2412.13569"},"observation_digest":"sha256:feed8db12e0e95c4a87e3e334f61d709e0fe3d122a065bf49af33f2fca205183","observation_id":"05d15553-d497-46af-a3a2-d6de2c669620","resolution":{"observed_at":"2026-08-11T13:04:03.919080Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T13:04:03.903840Z","title":"X.; Savva, M.; and Funkhouser, T","venue":null,"work_id":"892c5e74-0e54-4c3c-bd28-f71eb1439c9c","year":2017},"citing_paper":{"arxiv_id":"2412.13569","last_updated":"2024-12-18T07:35:42Z","snapshot_observed_at":"2026-08-12T21:11:50.712131Z","submitted_at":"2024-12-18T07:35:42Z","title":"Multi-View Pedestrian Occupancy Prediction with a Novel Synthetic Dataset","version":1},"reference_index":40,"source":"arxiv_source","source_observed_at":"2026-08-11T13:04:03.466471Z"},"links":{"citing_paper":"/paper/2412.13569"},"observation_digest":"sha256:c7c327d5efb9517328fb175f35778fc68f5b8890e0b116d6d3492303549a5308","observation_id":"4ac70f8f-0704-4042-a14d-5109b9d6c0e1","resolution":{"observed_at":"2026-08-11T13:04:03.907645Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T13:04:03.892608Z","title":null,"venue":null,"work_id":"de98cc32-055f-4924-8a5b-841301565908","year":2022},"citing_paper":{"arxiv_id":"2412.13569","last_updated":"2024-12-18T07:35:42Z","snapshot_observed_at":"2026-08-12T21:11:50.712131Z","submitted_at":"2024-12-18T07:35:42Z","title":"Multi-View Pedestrian Occupancy Prediction with a Novel Synthetic Dataset","version":1},"reference_index":41,"source":"arxiv_source","source_observed_at":"2026-08-11T13:04:03.470502Z"},"links":{"citing_paper":"/paper/2412.13569"},"observation_digest":"sha256:b088b91c1b33bc1a93391c33bc2d97f2d1a0cd778ace53128485199798263d3d","observation_id":"26736132-8de0-490b-9897-a5ed050a7430","resolution":{"observed_at":"2026-08-11T13:04:03.896471Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T13:04:03.880857Z","title":null,"venue":null,"work_id":"f25d9bad-bead-42ff-97cf-bebcf5ea6220","year":2022},"citing_paper":{"arxiv_id":"2412.13569","last_updated":"2024-12-18T07:35:42Z","snapshot_observed_at":"2026-08-12T21:11:50.712131Z","submitted_at":"2024-12-18T07:35:42Z","title":"Multi-View Pedestrian Occupancy Prediction with a Novel Synthetic Dataset","version":1},"reference_index":42,"source":"arxiv_source","source_observed_at":"2026-08-11T13:04:03.474284Z"},"links":{"citing_paper":"/paper/2412.13569"},"observation_digest":"sha256:6dd2fd8716cade677ca1206af634ed29d40b541d99c64ed16369da48e9a21840","observation_id":"1adedf47-6125-4cae-a8b9-ae1e37b5ccc7","resolution":{"observed_at":"2026-08-11T13:04:03.884540Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T13:04:03.869814Z","title":null,"venue":null,"work_id":"a29119a4-0006-4cb7-b4be-a2e1028d2ce6","year":2022},"citing_paper":{"arxiv_id":"2412.13569","last_updated":"2024-12-18T07:35:42Z","snapshot_observed_at":"2026-08-12T21:11:50.712131Z","submitted_at":"2024-12-18T07:35:42Z","title":"Multi-View Pedestrian Occupancy Prediction with a Novel Synthetic Dataset","version":1},"reference_index":43,"source":"arxiv_source","source_observed_at":"2026-08-11T13:04:03.478148Z"},"links":{"citing_paper":"/paper/2412.13569"},"observation_digest":"sha256:9c995413c02f28e04caef8757e900bb122ae2d84edda9349adc09709cd859b14","observation_id":"0ec6b7eb-3aa8-4c8d-9a16-d00ec16da6d5","resolution":{"observed_at":"2026-08-11T13:04:03.873679Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2304.14365","last_updated":"2023-12-13T17:41:17Z","snapshot_observed_at":"2026-08-10T11:10:28.715548Z","submitted_at":"2023-04-27T17:40:08Z","title":"Occ3D: A Large-Scale 3D Occupancy Prediction Benchmark for Autonomous Driving","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.14365","snapshot_observed_at":"2026-08-11T13:04:03.481851Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.13569","last_updated":"2024-12-18T07:35:42Z","snapshot_observed_at":"2026-08-12T21:11:50.712131Z","submitted_at":"2024-12-18T07:35:42Z","title":"Multi-View Pedestrian Occupancy Prediction with a Novel Synthetic Dataset","version":1},"reference_index":44,"source":"arxiv_source","source_observed_at":"2026-08-11T13:04:03.481851Z"},"links":{"cited_paper":"/paper/2304.14365","citing_paper":"/paper/2412.13569"},"observation_digest":"sha256:d5ad557910647cf69390d9b58a96f71e6481fc8725fe0e2fbfa39b6fe563ef30","observation_id":"4901b893-ee16-4848-8c86-582bcda195c3","resolution":{"observed_at":"2026-08-11T13:04:03.481851Z","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":"2026-08-11T13:04:03.859022Z","title":null,"venue":null,"work_id":"6b15d38a-f777-44f6-acea-c39218b4e223","year":2023},"citing_paper":{"arxiv_id":"2412.13569","last_updated":"2024-12-18T07:35:42Z","snapshot_observed_at":"2026-08-12T21:11:50.712131Z","submitted_at":"2024-12-18T07:35:42Z","title":"Multi-View Pedestrian Occupancy Prediction with a Novel Synthetic Dataset","version":1},"reference_index":45,"source":"arxiv_source","source_observed_at":"2026-08-11T13:04:03.485303Z"},"links":{"citing_paper":"/paper/2412.13569"},"observation_digest":"sha256:3449d626e277829725c958067f4a5946dc4972bd3d9661a8459c596ed1574f92","observation_id":"c1627043-704a-4d00-8009-dd8e8be70e1c","resolution":{"observed_at":"2026-08-11T13:04:03.862600Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T13:04:03.847707Z","title":null,"venue":null,"work_id":"98af7f4d-f3f4-4ba2-bbe3-5108453720e4","year":2023},"citing_paper":{"arxiv_id":"2412.13569","last_updated":"2024-12-18T07:35:42Z","snapshot_observed_at":"2026-08-12T21:11:50.712131Z","submitted_at":"2024-12-18T07:35:42Z","title":"Multi-View Pedestrian Occupancy Prediction with a Novel Synthetic Dataset","version":1},"reference_index":46,"source":"arxiv_source","source_observed_at":"2026-08-11T13:04:03.488807Z"},"links":{"citing_paper":"/paper/2412.13569"},"observation_digest":"sha256:ccbd889a892b317b6aed25b74b66f3d95989cd33d752e1cdea07227d229224f6","observation_id":"3900664a-8b61-468d-9823-9e052af15888","resolution":{"observed_at":"2026-08-11T13:04:03.851764Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T13:04:03.836448Z","title":null,"venue":null,"work_id":"66585857-c2a0-4d93-ae14-0208e3d722be","year":2020},"citing_paper":{"arxiv_id":"2412.13569","last_updated":"2024-12-18T07:35:42Z","snapshot_observed_at":"2026-08-12T21:11:50.712131Z","submitted_at":"2024-12-18T07:35:42Z","title":"Multi-View Pedestrian Occupancy Prediction with a Novel Synthetic Dataset","version":1},"reference_index":47,"source":"arxiv_source","source_observed_at":"2026-08-11T13:04:03.491964Z"},"links":{"citing_paper":"/paper/2412.13569"},"observation_digest":"sha256:bf2ad0def40e34ab8da06f7eb61c40949c19ddac4148ff66403a0c198f933923","observation_id":"6ed623d2-dd86-497d-83d5-818c6443d3ec","resolution":{"observed_at":"2026-08-11T13:04:03.840457Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T13:04:03.824676Z","title":null,"venue":null,"work_id":"a80e8875-c659-4819-8f15-3f31072efd3b","year":2023},"citing_paper":{"arxiv_id":"2412.13569","last_updated":"2024-12-18T07:35:42Z","snapshot_observed_at":"2026-08-12T21:11:50.712131Z","submitted_at":"2024-12-18T07:35:42Z","title":"Multi-View Pedestrian Occupancy Prediction with a Novel Synthetic Dataset","version":1},"reference_index":48,"source":"arxiv_source","source_observed_at":"2026-08-11T13:04:03.495202Z"},"links":{"citing_paper":"/paper/2412.13569"},"observation_digest":"sha256:260a12b379fa64090f19080ccf0c0abbb8d3bcb37ed623808750b14fa5b09837","observation_id":"b26332b0-c24e-4550-836f-39cc16847048","resolution":{"observed_at":"2026-08-11T13:04:03.828819Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T13:04:03.813262Z","title":null,"venue":null,"work_id":"de562a67-26fc-4163-820f-597659b6f41d","year":2023},"citing_paper":{"arxiv_id":"2412.13569","last_updated":"2024-12-18T07:35:42Z","snapshot_observed_at":"2026-08-12T21:11:50.712131Z","submitted_at":"2024-12-18T07:35:42Z","title":"Multi-View Pedestrian Occupancy Prediction with a Novel Synthetic Dataset","version":1},"reference_index":49,"source":"arxiv_source","source_observed_at":"2026-08-11T13:04:03.498577Z"},"links":{"citing_paper":"/paper/2412.13569"},"observation_digest":"sha256:7ca223001248acbb4e18384259db3dc74933a44cd5e5db708f685e9cb70bd7d1","observation_id":"77072520-7398-4abf-b0eb-d819ae92569b","resolution":{"observed_at":"2026-08-11T13:04:03.816777Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T13:04:03.802782Z","title":null,"venue":null,"work_id":"0d16e29c-9522-4865-85e5-e05a72997178","year":2021},"citing_paper":{"arxiv_id":"2412.13569","last_updated":"2024-12-18T07:35:42Z","snapshot_observed_at":"2026-08-12T21:11:50.712131Z","submitted_at":"2024-12-18T07:35:42Z","title":"Multi-View Pedestrian Occupancy Prediction with a Novel Synthetic Dataset","version":1},"reference_index":50,"source":"arxiv_source","source_observed_at":"2026-08-11T13:04:03.501894Z"},"links":{"citing_paper":"/paper/2412.13569"},"observation_digest":"sha256:95f9e069c2133ab3077a29bdb824f964e8eda392d40e6ef2365242e5a6f71486","observation_id":"ad7b6f0d-a77a-4922-9f94-4e0763f6fd33","resolution":{"observed_at":"2026-08-11T13:04:03.806232Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T13:04:03.790997Z","title":null,"venue":null,"work_id":"cca99a38-2d7d-419b-868d-7aea3c99703f","year":2020},"citing_paper":{"arxiv_id":"2412.13569","last_updated":"2024-12-18T07:35:42Z","snapshot_observed_at":"2026-08-12T21:11:50.712131Z","submitted_at":"2024-12-18T07:35:42Z","title":"Multi-View Pedestrian Occupancy Prediction with a Novel Synthetic Dataset","version":1},"reference_index":51,"source":"arxiv_source","source_observed_at":"2026-08-11T13:04:03.504919Z"},"links":{"citing_paper":"/paper/2412.13569"},"observation_digest":"sha256:68b37e938d10f531881b7ac94895e4cd32710eace2ab970c23a7ba41933113a1","observation_id":"6b0b2153-5048-4a3f-8313-c25edcd4ea52","resolution":{"observed_at":"2026-08-11T13:04:03.795032Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2401.18075","last_updated":"2024-07-19T21:20:35Z","snapshot_observed_at":"2026-08-12T19:56:09.199240Z","submitted_at":"2024-01-31T18:56:09Z","title":"CARFF: Conditional Auto-encoded Radiance Field for 3D Scene Forecasting","version":2},"cited_work":{"arxiv_id":"2401.18075","doi":null,"metadata_source":"pith","pith_arxiv_id":"2401.18075","snapshot_observed_at":"2026-08-11T13:04:03.599085Z","title":"CARFF: Conditional Auto-encoded Radiance Field for 3D Scene Forecasting","venue":"cs.CV","work_id":"b2f4d5a2-c7cf-4912-ba7c-47b565a2f6d8","year":2024},"citing_paper":{"arxiv_id":"2412.13569","last_updated":"2024-12-18T07:35:42Z","snapshot_observed_at":"2026-08-12T21:11:50.712131Z","submitted_at":"2024-12-18T07:35:42Z","title":"Multi-View Pedestrian Occupancy Prediction with a Novel Synthetic Dataset","version":1},"reference_index":52,"source":"arxiv_source","source_observed_at":"2026-08-11T13:04:03.508252Z"},"links":{"cited_paper":"/paper/2401.18075","citing_paper":"/paper/2412.13569"},"observation_digest":"sha256:22a84941a253725f41b74992553d106cbbb5c675151b0a401ef9128605edf9da","observation_id":"2617d299-2174-4da8-85e4-f31707201c2d","resolution":{"observed_at":"2026-08-11T13:04:03.605490Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T13:04:03.777336Z","title":null,"venue":null,"work_id":"ea329bc6-d232-41b6-9f47-bf5d23fc2429","year":2023},"citing_paper":{"arxiv_id":"2412.13569","last_updated":"2024-12-18T07:35:42Z","snapshot_observed_at":"2026-08-12T21:11:50.712131Z","submitted_at":"2024-12-18T07:35:42Z","title":"Multi-View Pedestrian Occupancy Prediction with a Novel Synthetic Dataset","version":1},"reference_index":53,"source":"arxiv_source","source_observed_at":"2026-08-11T13:04:03.512225Z"},"links":{"citing_paper":"/paper/2412.13569"},"observation_digest":"sha256:6154592a13542fabc7aa9f61de7e412794878192e86fb5aa6b80d3ba76953e1f","observation_id":"a49395a5-1460-4454-91a3-6f54cfc0feb3","resolution":{"observed_at":"2026-08-11T13:04:03.781228Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2312.09243","last_updated":"2024-08-21T12:24:49Z","snapshot_observed_at":"2026-08-06T07:01:21.861896Z","submitted_at":"2023-12-14T18:58:52Z","title":"OccNeRF: Advancing 3D Occupancy Prediction in LiDAR-Free Environments","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.09243","snapshot_observed_at":"2026-08-11T13:04:03.516434Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.13569","last_updated":"2024-12-18T07:35:42Z","snapshot_observed_at":"2026-08-12T21:11:50.712131Z","submitted_at":"2024-12-18T07:35:42Z","title":"Multi-View Pedestrian Occupancy Prediction with a Novel Synthetic Dataset","version":1},"reference_index":54,"source":"arxiv_source","source_observed_at":"2026-08-11T13:04:03.516434Z"},"links":{"cited_paper":"/paper/2312.09243","citing_paper":"/paper/2412.13569"},"observation_digest":"sha256:436b786b862d092d6e8a8e3f46236fecdd25184e9c008f9c0ccfb5439d0bb2ca","observation_id":"48960b27-bdb4-416d-9520-8d0d94be7126","resolution":{"observed_at":"2026-08-11T13:04:03.516434Z","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":"2026-08-11T13:04:03.765495Z","title":null,"venue":null,"work_id":"0ef5521f-dc44-474b-8f29-4f8a24475e89","year":2021},"citing_paper":{"arxiv_id":"2412.13569","last_updated":"2024-12-18T07:35:42Z","snapshot_observed_at":"2026-08-12T21:11:50.712131Z","submitted_at":"2024-12-18T07:35:42Z","title":"Multi-View Pedestrian Occupancy Prediction with a Novel Synthetic Dataset","version":1},"reference_index":55,"source":"arxiv_source","source_observed_at":"2026-08-11T13:04:03.520273Z"},"links":{"citing_paper":"/paper/2412.13569"},"observation_digest":"sha256:eb8da1ce78e384e67a27087b1d6303cf3a070f6993e3db37ebc79c5466283fd9","observation_id":"d20748b5-9cfc-4c9a-9d20-8c3c1122da39","resolution":{"observed_at":"2026-08-11T13:04:03.769284Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T13:04:03.753478Z","title":null,"venue":null,"work_id":"8ba71e9f-1706-445f-8960-5b5729ab0ad3","year":2019},"citing_paper":{"arxiv_id":"2412.13569","last_updated":"2024-12-18T07:35:42Z","snapshot_observed_at":"2026-08-12T21:11:50.712131Z","submitted_at":"2024-12-18T07:35:42Z","title":"Multi-View Pedestrian Occupancy Prediction with a Novel Synthetic Dataset","version":1},"reference_index":56,"source":"arxiv_source","source_observed_at":"2026-08-11T13:04:03.523817Z"},"links":{"citing_paper":"/paper/2412.13569"},"observation_digest":"sha256:25c5c5e437465e6dc0769e91a66dfd30b02313b28e8359f75de1db24a3253516","observation_id":"7e0b91b9-bb66-488e-b194-ee278adc685a","resolution":{"observed_at":"2026-08-11T13:04:03.757469Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T13:04:03.741995Z","title":null,"venue":null,"work_id":"c14629fd-66ce-4ff4-98b4-128d8c6f1552","year":2019},"citing_paper":{"arxiv_id":"2412.13569","last_updated":"2024-12-18T07:35:42Z","snapshot_observed_at":"2026-08-12T21:11:50.712131Z","submitted_at":"2024-12-18T07:35:42Z","title":"Multi-View Pedestrian Occupancy Prediction with a Novel Synthetic Dataset","version":1},"reference_index":57,"source":"arxiv_source","source_observed_at":"2026-08-11T13:04:03.527293Z"},"links":{"citing_paper":"/paper/2412.13569"},"observation_digest":"sha256:d2a0c1c08a891369da88ab883405b29342a8897377224aeb77d6888beebdbf8e","observation_id":"b274bb3c-5ef4-44da-9a75-62e536c5053e","resolution":{"observed_at":"2026-08-11T13:04:03.745733Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T13:04:03.729841Z","title":null,"venue":null,"work_id":"bae5f998-3a0a-4dc5-a6b4-8a83f8d76f12","year":2021},"citing_paper":{"arxiv_id":"2412.13569","last_updated":"2024-12-18T07:35:42Z","snapshot_observed_at":"2026-08-12T21:11:50.712131Z","submitted_at":"2024-12-18T07:35:42Z","title":"Multi-View Pedestrian Occupancy Prediction with a Novel Synthetic Dataset","version":1},"reference_index":58,"source":"arxiv_source","source_observed_at":"2026-08-11T13:04:03.530950Z"},"links":{"citing_paper":"/paper/2412.13569"},"observation_digest":"sha256:6bd9c54745333fbe9f7d92ca46c1069d2ffdd2532d3dbb02261d3daffefc18ac","observation_id":"445147dc-befa-4e60-ac78-8b99877ffa7c","resolution":{"observed_at":"2026-08-11T13:04:03.734066Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2304.05316","last_updated":"2023-04-11T16:15:50Z","snapshot_observed_at":"2026-07-06T15:14:28.574778Z","submitted_at":"2023-04-11T16:15:50Z","title":"OccFormer: Dual-path Transformer for Vision-based 3D Semantic Occupancy Prediction","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.05316","snapshot_observed_at":"2026-08-11T13:04:03.534527Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.13569","last_updated":"2024-12-18T07:35:42Z","snapshot_observed_at":"2026-08-12T21:11:50.712131Z","submitted_at":"2024-12-18T07:35:42Z","title":"Multi-View Pedestrian Occupancy Prediction with a Novel Synthetic Dataset","version":1},"reference_index":59,"source":"arxiv_source","source_observed_at":"2026-08-11T13:04:03.534527Z"},"links":{"cited_paper":"/paper/2304.05316","citing_paper":"/paper/2412.13569"},"observation_digest":"sha256:dfacec49037c174f159676de0cf3be3ca1581f91c9c5868c301e5013f3795ec6","observation_id":"f474aa91-6376-48ce-872c-81011e1fe87a","resolution":{"observed_at":"2026-08-11T13:04:03.534527Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T13:04:03.538713Z","title":", \" * write output.state after.block = add.period write newline","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2412.13569","last_updated":"2024-12-18T07:35:42Z","snapshot_observed_at":"2026-08-12T21:11:50.712131Z","submitted_at":"2024-12-18T07:35:42Z","title":"Multi-View Pedestrian Occupancy Prediction with a Novel Synthetic Dataset","version":1},"reference_index":60,"source":"arxiv_source","source_observed_at":"2026-08-11T13:04:03.538713Z"},"links":{"citing_paper":"/paper/2412.13569"},"observation_digest":"sha256:267177d425216ccf9e3dbc225e33e1937586e118cef81b1234f2afa8134a7c0d","observation_id":"6fea58d4-c851-46a1-a29b-342d05e3cfa2","resolution":{"observed_at":"2026-08-11T13:04:03.538713Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T13:04:03.542977Z","title":"write newline","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2412.13569","last_updated":"2024-12-18T07:35:42Z","snapshot_observed_at":"2026-08-12T21:11:50.712131Z","submitted_at":"2024-12-18T07:35:42Z","title":"Multi-View Pedestrian Occupancy Prediction with a Novel Synthetic Dataset","version":1},"reference_index":61,"source":"arxiv_source","source_observed_at":"2026-08-11T13:04:03.542977Z"},"links":{"citing_paper":"/paper/2412.13569"},"observation_digest":"sha256:e906d3f29d22f44a13632d40c379d7564b11ae16748c113a13e017862ee35c2c","observation_id":"425a6e7b-13c7-4991-98d2-734b54093632","resolution":{"observed_at":"2026-08-11T13:04:03.542977Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2412.13569","last_updated":"2024-12-18T07:35:42Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-12T21:11:50.712131Z","submitted_at":"2024-12-18T07:35:42Z","title":"Multi-View Pedestrian Occupancy Prediction with a Novel Synthetic Dataset"},"reference_resolution":{"displayed":61,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":52,"verified_exact":1,"verified_fuzzy":8},"total_outbound_references":61},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"thesis":"As of 12 August 2026, this Paper Citation Record lists 61 of 61 outbound references and 0 inbound Pith citation observations for arXiv:2412.13569."}