{"as_of":"2026-08-12T12:02:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:f0df72e2d3931495a78a6d6696cbf110b71a7df7b96b6d487035e0163e6d6562","coverage":[{"denominator":65,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":65,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T16:09:04.604609Z","state":"measured"},{"denominator":65,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":65,"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/2507.14505/citation-record","integrity":"/paper/2507.14505/integrity","json":"/paper/2507.14505/citation-record.json","paper":"/paper/2507.14505"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T16:09:18.156961Z","title":"Slic superpixels","venue":null,"work_id":"7aba16a8-aa61-4cb1-8d1e-9bf37e8c8a25","year":null},"citing_paper":{"arxiv_id":"2507.14505","last_updated":"2025-07-19T06:37:14Z","snapshot_observed_at":"2026-08-10T11:21:29.965411Z","submitted_at":"2025-07-19T06:37:14Z","title":"DCHM: Depth-Consistent Human Modeling for Multiview Detection","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T16:08:58.367676Z"},"links":{"citing_paper":"/paper/2507.14505"},"observation_digest":"sha256:f9503b67f8c61853b2b6f204ae87d31a8a7ccf559418cdd0e3e7f1393bf488bb","observation_id":"100c06f7-caa9-45aa-a7e3-26834857b1e7","resolution":{"observed_at":"2026-08-06T16:09:18.171862Z","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":"2026-08-06T16:09:18.044421Z","title":"Deep oc- clusion reasoning for multi-camera multi-target detection","venue":null,"work_id":"e48d72af-c5c5-40f7-8b96-0992ebd63a5f","year":2017},"citing_paper":{"arxiv_id":"2507.14505","last_updated":"2025-07-19T06:37:14Z","snapshot_observed_at":"2026-08-10T11:21:29.965411Z","submitted_at":"2025-07-19T06:37:14Z","title":"DCHM: Depth-Consistent Human Modeling for Multiview Detection","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T16:08:58.429228Z"},"links":{"citing_paper":"/paper/2507.14505"},"observation_digest":"sha256:ae51083a6ecfc1f37d711aee3d0483486c45c2f25d262d4ac1f20ddd5b0ab88c","observation_id":"03b371e9-0d95-40cb-819e-d3eee5ffed4a","resolution":{"observed_at":"2026-08-06T16:09:18.148095Z","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":"2410.02073","last_updated":"2025-04-21T12:09:08Z","snapshot_observed_at":"2026-08-02T06:32:26.688405Z","submitted_at":"2024-10-02T22:42:20Z","title":"Depth Pro: Sharp Monocular Metric Depth in Less Than a Second","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.02073","snapshot_observed_at":"2026-08-06T16:08:58.510807Z","title":"Depth pro: Sharp monocular metric depth in less than a second","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.14505","last_updated":"2025-07-19T06:37:14Z","snapshot_observed_at":"2026-08-10T11:21:29.965411Z","submitted_at":"2025-07-19T06:37:14Z","title":"DCHM: Depth-Consistent Human Modeling for Multiview Detection","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-06T16:08:58.510807Z"},"links":{"cited_paper":"/paper/2410.02073","citing_paper":"/paper/2507.14505"},"observation_digest":"sha256:b2ed58496faf6c0b4e86863741364dc230ab5a1ffabe451a350823d54c584899","observation_id":"46f81af3-3a2e-4280-864f-a5e08c86d59e","resolution":{"observed_at":"2026-08-06T16:08:58.510807Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.04117","last_updated":"2024-12-05T12:36:12Z","snapshot_observed_at":"2026-08-11T21:41:55.209447Z","submitted_at":"2024-12-05T12:36:12Z","title":"MVUDA: Unsupervised Domain Adaptation for Multi-view Pedestrian Detection","version":1},"cited_work":{"arxiv_id":"2412.04117","doi":null,"metadata_source":"pith","pith_arxiv_id":"2412.04117","snapshot_observed_at":"2026-08-06T16:09:05.600452Z","title":"MVUDA: Unsupervised Domain Adaptation for Multi-view Pedestrian Detection","venue":"cs.CV","work_id":"9b5d8ea1-c453-4989-80db-5ebe26ab6ddc","year":2024},"citing_paper":{"arxiv_id":"2507.14505","last_updated":"2025-07-19T06:37:14Z","snapshot_observed_at":"2026-08-10T11:21:29.965411Z","submitted_at":"2025-07-19T06:37:14Z","title":"DCHM: Depth-Consistent Human Modeling for Multiview Detection","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T16:08:58.582351Z"},"links":{"cited_paper":"/paper/2412.04117","citing_paper":"/paper/2507.14505"},"observation_digest":"sha256:81a6c8e3accd0d134d9d2d62706dc59f931a50ce13532194d5425e7c89a0dacd","observation_id":"0141d535-4aef-4588-be2e-bbecd9a91b80","resolution":{"observed_at":"2026-08-06T16:09:05.676576Z","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":"2026-08-06T16:09:17.906647Z","title":"La- bel efficient lifelong multi-view broiler detection","venue":null,"work_id":"a12e87fa-c2e0-4b7c-935d-c92af033aaf6","year":2024},"citing_paper":{"arxiv_id":"2507.14505","last_updated":"2025-07-19T06:37:14Z","snapshot_observed_at":"2026-08-10T11:21:29.965411Z","submitted_at":"2025-07-19T06:37:14Z","title":"DCHM: Depth-Consistent Human Modeling for Multiview Detection","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T16:08:58.659745Z"},"links":{"citing_paper":"/paper/2507.14505"},"observation_digest":"sha256:fe8663c302fdfcd6e094b16c04856be719bc0169b6bcc81ea4ccf6edf418fef9","observation_id":"d43b3d7c-ceba-45a0-a78f-7a12766ae46c","resolution":{"observed_at":"2026-08-06T16:09:17.982710Z","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":"2026-08-06T16:09:17.719382Z","title":"Wild- track: A multi-camera hd dataset for dense unscripted pedes- trian detection","venue":null,"work_id":"76d401f1-3d2a-41b4-ba97-0b058a07050b","year":2018},"citing_paper":{"arxiv_id":"2507.14505","last_updated":"2025-07-19T06:37:14Z","snapshot_observed_at":"2026-08-10T11:21:29.965411Z","submitted_at":"2025-07-19T06:37:14Z","title":"DCHM: Depth-Consistent Human Modeling for Multiview Detection","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-06T16:08:58.713194Z"},"links":{"citing_paper":"/paper/2507.14505"},"observation_digest":"sha256:4a476a42beac04ce952bad7c7b7e9bc3c6e8565c70b520283782b7cface54052","observation_id":"047efbe8-d69f-4491-ba9f-e68ec7eb2e7b","resolution":{"observed_at":"2026-08-06T16:09:17.791616Z","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":"2026-08-06T16:09:17.631002Z","title":"High-quality surface recon- struction using gaussian surfels","venue":null,"work_id":"34085674-96ed-4c77-a6db-6fbf125bfa81","year":2024},"citing_paper":{"arxiv_id":"2507.14505","last_updated":"2025-07-19T06:37:14Z","snapshot_observed_at":"2026-08-10T11:21:29.965411Z","submitted_at":"2025-07-19T06:37:14Z","title":"DCHM: Depth-Consistent Human Modeling for Multiview Detection","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T16:08:58.789997Z"},"links":{"citing_paper":"/paper/2507.14505"},"observation_digest":"sha256:7f099c0d40813ff8997a248c007c28386b97b0ba41a18d0a60bfbeecbacfeacf","observation_id":"a3017096-9411-44c7-ac83-0e6651c92662","resolution":{"observed_at":"2026-08-06T16:09:17.643041Z","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":"2401.05925","last_updated":"2024-07-28T02:40:29Z","snapshot_observed_at":"2026-08-12T06:05:46.438684Z","submitted_at":"2024-01-11T14:05:01Z","title":"Learning Segmented 3D Gaussians via Efficient Feature Unprojection for Zero-shot Neural Scene Segmentation","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.05925","snapshot_observed_at":"2026-08-06T16:08:58.865043Z","title":"Cosseggaussians: Compact and swift scene segmenting 3d gaussians with dual feature fusion","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.14505","last_updated":"2025-07-19T06:37:14Z","snapshot_observed_at":"2026-08-10T11:21:29.965411Z","submitted_at":"2025-07-19T06:37:14Z","title":"DCHM: Depth-Consistent Human Modeling for Multiview Detection","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T16:08:58.865043Z"},"links":{"cited_paper":"/paper/2401.05925","citing_paper":"/paper/2507.14505"},"observation_digest":"sha256:3e8901c8d39bef1e468d4da29f3e8716f3b7891919cbe1ac378f05b865a5c63a","observation_id":"d6c2c6ac-08ce-4c52-994b-f217546df626","resolution":{"observed_at":"2026-08-06T16:08:58.865043Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T16:09:17.506793Z","title":"Multi-view tracking using weakly supervised human motion prediction","venue":null,"work_id":"e3a89832-ef98-4205-a7e1-8bf837c44a49","year":2023},"citing_paper":{"arxiv_id":"2507.14505","last_updated":"2025-07-19T06:37:14Z","snapshot_observed_at":"2026-08-10T11:21:29.965411Z","submitted_at":"2025-07-19T06:37:14Z","title":"DCHM: Depth-Consistent Human Modeling for Multiview Detection","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T16:08:58.939687Z"},"links":{"citing_paper":"/paper/2507.14505"},"observation_digest":"sha256:4ddf592dd99ea29a8772b016e5e32bb2793058d2a2e82ff6795dd55ea4c861ac","observation_id":"81c280b3-a029-4cb2-93f7-6cfa01b7e950","resolution":{"observed_at":"2026-08-06T16:09:17.617388Z","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":"2026-08-06T16:09:17.256434Z","title":"Density-based spatial clustering of applications with noise","venue":null,"work_id":"02731121-2f5b-4610-a812-23938b1ee701","year":null},"citing_paper":{"arxiv_id":"2507.14505","last_updated":"2025-07-19T06:37:14Z","snapshot_observed_at":"2026-08-10T11:21:29.965411Z","submitted_at":"2025-07-19T06:37:14Z","title":"DCHM: Depth-Consistent Human Modeling for Multiview Detection","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T16:08:59.016699Z"},"links":{"citing_paper":"/paper/2507.14505"},"observation_digest":"sha256:344176b1c27b4778ba062b62fe50ff40e58df4ad3b2ab07c50456323d06ebaa3","observation_id":"b4f4cea1-6e5b-4a85-9c3b-42b88794c5cb","resolution":{"observed_at":"2026-08-06T16:09:17.379260Z","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":"2026-08-06T16:09:17.045436Z","title":"Multicamera people tracking with a probabilistic occupancy map","venue":null,"work_id":"512bac0e-91c0-4dee-a1e6-6637618be7a6","year":2007},"citing_paper":{"arxiv_id":"2507.14505","last_updated":"2025-07-19T06:37:14Z","snapshot_observed_at":"2026-08-10T11:21:29.965411Z","submitted_at":"2025-07-19T06:37:14Z","title":"DCHM: Depth-Consistent Human Modeling for Multiview Detection","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T16:08:59.019998Z"},"links":{"citing_paper":"/paper/2507.14505"},"observation_digest":"sha256:57b07c08f98c1785c6597a36222da9c8fccac76bea84b967f475f9765931adc1","observation_id":"6319a096-4d39-4388-966e-722b14f4300c","resolution":{"observed_at":"2026-08-06T16:09:17.137656Z","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":"2026-08-06T16:09:16.830252Z","title":"Multicamera people tracking with a probabilistic occupancy map","venue":null,"work_id":"cd8b7bd5-95b6-4daa-970f-a194ea3461f0","year":2007},"citing_paper":{"arxiv_id":"2507.14505","last_updated":"2025-07-19T06:37:14Z","snapshot_observed_at":"2026-08-10T11:21:29.965411Z","submitted_at":"2025-07-19T06:37:14Z","title":"DCHM: Depth-Consistent Human Modeling for Multiview Detection","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-06T16:08:59.023987Z"},"links":{"citing_paper":"/paper/2507.14505"},"observation_digest":"sha256:9b0933da4e7c6e1ac20abecc0af8aa319c2a18e1830317b106161665068ccc57","observation_id":"692da603-2709-46d1-ae68-f11c040244a6","resolution":{"observed_at":"2026-08-06T16:09:16.930641Z","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":"2026-08-06T16:09:16.495468Z","title":"Multiview detection with shadow transformer (and view-coherent data augmentation)","venue":null,"work_id":"ea8e5cbe-751b-4948-807c-7a72ed243e62","year":2021},"citing_paper":{"arxiv_id":"2507.14505","last_updated":"2025-07-19T06:37:14Z","snapshot_observed_at":"2026-08-10T11:21:29.965411Z","submitted_at":"2025-07-19T06:37:14Z","title":"DCHM: Depth-Consistent Human Modeling for Multiview Detection","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-06T16:08:59.105339Z"},"links":{"citing_paper":"/paper/2507.14505"},"observation_digest":"sha256:1c3926b04bb8bb1d6ae378adec482ca5ca6f99ba9ca0d4bee0df35ff6db7dfa5","observation_id":"8a41179f-6c40-4094-95e2-d1676e2db8d0","resolution":{"observed_at":"2026-08-06T16:09:16.697757Z","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":"2026-08-06T16:09:16.328443Z","title":"Multi- view detection with feature perspective transformation","venue":null,"work_id":"6ecd3521-2de1-49a6-81c8-6ae8fbe445c2","year":2020},"citing_paper":{"arxiv_id":"2507.14505","last_updated":"2025-07-19T06:37:14Z","snapshot_observed_at":"2026-08-10T11:21:29.965411Z","submitted_at":"2025-07-19T06:37:14Z","title":"DCHM: Depth-Consistent Human Modeling for Multiview Detection","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T16:08:59.193807Z"},"links":{"citing_paper":"/paper/2507.14505"},"observation_digest":"sha256:697b8a2da2babc04f6dfb8631c7cd0dda85149a565cb35beea02a44cf8afad8f","observation_id":"203a3e37-ce54-431a-af6c-a99eee181531","resolution":{"observed_at":"2026-08-06T16:09:16.364532Z","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":"2404.15506","last_updated":"2025-01-03T15:39:16Z","snapshot_observed_at":"2026-07-06T18:04:42.102581Z","submitted_at":"2024-03-22T02:30:46Z","title":"Metric3Dv2: A Versatile Monocular Geometric Foundation Model for Zero-shot Metric Depth and Surface Normal Estimation","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.15506","snapshot_observed_at":"2026-08-06T16:08:59.312379Z","title":"Metric3d v2: A versatile monocular geomet- ric foundation model for zero-shot metric depth and surface normal estimation","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.14505","last_updated":"2025-07-19T06:37:14Z","snapshot_observed_at":"2026-08-10T11:21:29.965411Z","submitted_at":"2025-07-19T06:37:14Z","title":"DCHM: Depth-Consistent Human Modeling for Multiview Detection","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-06T16:08:59.312379Z"},"links":{"cited_paper":"/paper/2404.15506","citing_paper":"/paper/2507.14505"},"observation_digest":"sha256:f11bcd4c7e0cdc8a3b86a3dff33f46788212d6069ff81e7a8c04ad1c710c6894","observation_id":"d47452d6-dbc7-4c18-8212-a5571e2e550b","resolution":{"observed_at":"2026-08-06T16:08:59.312379Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.17857","last_updated":"2025-01-19T08:31:42Z","snapshot_observed_at":"2026-08-06T19:12:34.556487Z","submitted_at":"2024-01-31T14:19:03Z","title":"SAGD: Boundary-Enhanced Segment Anything in 3D Gaussian via Gaussian Decomposition","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.17857","snapshot_observed_at":"2026-08-06T16:08:59.444791Z","title":"Semantic anything in 3d gaussians","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.14505","last_updated":"2025-07-19T06:37:14Z","snapshot_observed_at":"2026-08-10T11:21:29.965411Z","submitted_at":"2025-07-19T06:37:14Z","title":"DCHM: Depth-Consistent Human Modeling for Multiview Detection","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-06T16:08:59.444791Z"},"links":{"cited_paper":"/paper/2401.17857","citing_paper":"/paper/2507.14505"},"observation_digest":"sha256:ddcc60cd887596e96d88e1b3609cbc02a95b902d5ab398bb0109a4e74eb0f2c9","observation_id":"487b5a7e-d172-4691-a132-dd1c291b0f58","resolution":{"observed_at":"2026-08-06T16:08:59.444791Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T16:09:16.135665Z","title":"Repurpos- ing diffusion-based image generators for monocular depth estimation","venue":null,"work_id":"5d3eab71-0444-4c89-94cc-5f2bfa6d24bd","year":2024},"citing_paper":{"arxiv_id":"2507.14505","last_updated":"2025-07-19T06:37:14Z","snapshot_observed_at":"2026-08-10T11:21:29.965411Z","submitted_at":"2025-07-19T06:37:14Z","title":"DCHM: Depth-Consistent Human Modeling for Multiview Detection","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-06T16:08:59.564843Z"},"links":{"citing_paper":"/paper/2507.14505"},"observation_digest":"sha256:0f37201f8fa97a4a0c4d0a190bd51106483afc47d8976957477b401fda5c2c70","observation_id":"1c5f7a1b-fda9-462e-b730-d32f4bcff965","resolution":{"observed_at":"2026-08-06T16:09:16.236272Z","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":"2026-08-06T16:08:59.669813Z","title":"3d gaussian splatting for real-time radiance field rendering","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.14505","last_updated":"2025-07-19T06:37:14Z","snapshot_observed_at":"2026-08-10T11:21:29.965411Z","submitted_at":"2025-07-19T06:37:14Z","title":"DCHM: Depth-Consistent Human Modeling for Multiview Detection","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-06T16:08:59.669813Z"},"links":{"citing_paper":"/paper/2507.14505"},"observation_digest":"sha256:2946def82e2f6c464885cda89e19375726c68e468d90713980e89ebfb29c6348","observation_id":"963ff92b-6335-46b0-a869-311f765987d5","resolution":{"observed_at":"2026-08-06T16:08:59.669813Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.17725","last_updated":"2024-10-23T09:55:22Z","snapshot_observed_at":"2026-07-06T19:38:22.461739Z","submitted_at":"2024-10-23T09:55:22Z","title":"YOLOv11: An Overview of the Key Architectural Enhancements","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.17725","snapshot_observed_at":"2026-08-06T16:08:59.781530Z","title":"Yolov11: An overview of the key architectural enhancements","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.14505","last_updated":"2025-07-19T06:37:14Z","snapshot_observed_at":"2026-08-10T11:21:29.965411Z","submitted_at":"2025-07-19T06:37:14Z","title":"DCHM: Depth-Consistent Human Modeling for Multiview Detection","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-06T16:08:59.781530Z"},"links":{"cited_paper":"/paper/2410.17725","citing_paper":"/paper/2507.14505"},"observation_digest":"sha256:03ab591f2d2f33fffa0cf92a3c569221d7e40c0b9329b26c7acac708e5bfdd3f","observation_id":"aa978717-b022-48a6-a340-b273c47e1b11","resolution":{"observed_at":"2026-08-06T16:08:59.781530Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T16:09:15.891743Z","title":"Segment anything","venue":null,"work_id":"8e9e2bbb-3670-43ee-8144-ade46f814943","year":2023},"citing_paper":{"arxiv_id":"2507.14505","last_updated":"2025-07-19T06:37:14Z","snapshot_observed_at":"2026-08-10T11:21:29.965411Z","submitted_at":"2025-07-19T06:37:14Z","title":"DCHM: Depth-Consistent Human Modeling for Multiview Detection","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-06T16:08:59.877813Z"},"links":{"citing_paper":"/paper/2507.14505"},"observation_digest":"sha256:3647e7de218ff8eb6fc26d68bbb4f2dc317d09a94610f20541f63ed7ec5a7431","observation_id":"4b89b983-1a64-4031-8309-74dec7a62c08","resolution":{"observed_at":"2026-08-06T16:09:16.026768Z","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":"2026-08-06T16:09:15.701904Z","title":"Pointpillars: Fast encoders for object detection from point clouds","venue":null,"work_id":"15c46b8c-547b-45ab-b2dd-7e8d8462143f","year":2019},"citing_paper":{"arxiv_id":"2507.14505","last_updated":"2025-07-19T06:37:14Z","snapshot_observed_at":"2026-08-10T11:21:29.965411Z","submitted_at":"2025-07-19T06:37:14Z","title":"DCHM: Depth-Consistent Human Modeling for Multiview Detection","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-06T16:09:00.006299Z"},"links":{"citing_paper":"/paper/2507.14505"},"observation_digest":"sha256:eab3ea2883d86d96a03fa6fc02a6443c139356d60bfed857798e91b38050be60","observation_id":"57b6215d-100c-4bc4-8912-ca2ea04999a4","resolution":{"observed_at":"2026-08-06T16:09:15.771046Z","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":"2026-08-06T16:09:15.507650Z","title":"Multi-view target transformation for pedestrian detection","venue":null,"work_id":"71246bab-0744-4e8f-b2aa-11179999a222","year":2023},"citing_paper":{"arxiv_id":"2507.14505","last_updated":"2025-07-19T06:37:14Z","snapshot_observed_at":"2026-08-10T11:21:29.965411Z","submitted_at":"2025-07-19T06:37:14Z","title":"DCHM: Depth-Consistent Human Modeling for Multiview Detection","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-06T16:09:00.167147Z"},"links":{"citing_paper":"/paper/2507.14505"},"observation_digest":"sha256:f4c59e51af3ea91c0bb31e1fe38e26b4fbc9eb5b70a8ef3f65bfca7b4a30b09f","observation_id":"7a0f0f68-96f6-48bb-ba78-aef55feba7b9","resolution":{"observed_at":"2026-08-06T16:09:15.604641Z","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":"2406.09756","last_updated":"2024-06-14T06:46:30Z","snapshot_observed_at":"2026-08-07T16:51:49.779326Z","submitted_at":"2024-06-14T06:46:30Z","title":"Grounding Image Matching in 3D with MASt3R","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.09756","snapshot_observed_at":"2026-08-06T16:09:00.333550Z","title":"Ground- ing image matching in 3d with mast3r","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.14505","last_updated":"2025-07-19T06:37:14Z","snapshot_observed_at":"2026-08-10T11:21:29.965411Z","submitted_at":"2025-07-19T06:37:14Z","title":"DCHM: Depth-Consistent Human Modeling for Multiview Detection","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-06T16:09:00.333550Z"},"links":{"cited_paper":"/paper/2406.09756","citing_paper":"/paper/2507.14505"},"observation_digest":"sha256:89d959672c22b684893c7d4ca907057492685a8fbe7bf20b7e36dbb0538da041","observation_id":"d1bad1c5-bd2d-48d3-b6c3-15bffe40c2ce","resolution":{"observed_at":"2026-08-06T16:09:00.333550Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2201.03546","last_updated":"2022-04-03T03:33:43Z","snapshot_observed_at":"2026-08-01T06:14:31.660540Z","submitted_at":"2022-01-10T18:59:10Z","title":"Language-driven Semantic Segmentation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2201.03546","snapshot_observed_at":"2026-08-06T16:09:00.444298Z","title":"Language-driven semantic seg- mentation","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.14505","last_updated":"2025-07-19T06:37:14Z","snapshot_observed_at":"2026-08-10T11:21:29.965411Z","submitted_at":"2025-07-19T06:37:14Z","title":"DCHM: Depth-Consistent Human Modeling for Multiview Detection","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-06T16:09:00.444298Z"},"links":{"cited_paper":"/paper/2201.03546","citing_paper":"/paper/2507.14505"},"observation_digest":"sha256:74249d5b86d0937f7dce0ebd046d39cb1b5bfaec2c0cecefa617025cffe0b133","observation_id":"be57c134-785b-4982-adb7-af61d105e653","resolution":{"observed_at":"2026-08-06T16:09:00.444298Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T16:09:15.316599Z","title":"Generalizable multi- camera 3d pedestrian detection","venue":null,"work_id":"436e7489-2683-419b-8774-901dc85ecf33","year":2021},"citing_paper":{"arxiv_id":"2507.14505","last_updated":"2025-07-19T06:37:14Z","snapshot_observed_at":"2026-08-10T11:21:29.965411Z","submitted_at":"2025-07-19T06:37:14Z","title":"DCHM: Depth-Consistent Human Modeling for Multiview Detection","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-06T16:09:00.604956Z"},"links":{"citing_paper":"/paper/2507.14505"},"observation_digest":"sha256:329b6892b53b905f689725141619877b8963c09fbe3283902b826b394eefcc09","observation_id":"681e35e4-0695-4983-8850-3a251a401f03","resolution":{"observed_at":"2026-08-06T16:09:15.399733Z","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":"2026-08-06T16:09:15.147058Z","title":"Focal loss for dense object detection","venue":null,"work_id":"e93676af-84a8-42db-87bf-283b6c726bc6","year":2017},"citing_paper":{"arxiv_id":"2507.14505","last_updated":"2025-07-19T06:37:14Z","snapshot_observed_at":"2026-08-10T11:21:29.965411Z","submitted_at":"2025-07-19T06:37:14Z","title":"DCHM: Depth-Consistent Human Modeling for Multiview Detection","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-06T16:09:00.739381Z"},"links":{"citing_paper":"/paper/2507.14505"},"observation_digest":"sha256:81676470f5827f28b6251bdd5c87530315d5e3b62f81f242e34b5e092af4044f","observation_id":"7e660d40-eb98-4440-b9e6-a208b32c954e","resolution":{"observed_at":"2026-08-06T16:09:15.237486Z","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":"2026-08-06T16:09:14.840701Z","title":"Un- supervised multi-view pedestrian detection","venue":null,"work_id":"ac9586c1-8c7a-4eba-84f7-6a5f0d4e13ac","year":2024},"citing_paper":{"arxiv_id":"2507.14505","last_updated":"2025-07-19T06:37:14Z","snapshot_observed_at":"2026-08-10T11:21:29.965411Z","submitted_at":"2025-07-19T06:37:14Z","title":"DCHM: Depth-Consistent Human Modeling for Multiview Detection","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-06T16:09:00.851648Z"},"links":{"citing_paper":"/paper/2507.14505"},"observation_digest":"sha256:a78b8c7013eb508f0315b2a5dd3c6df21bca8214104b00a4fe63ff08407c3efb","observation_id":"4806a585-4ace-401b-b281-c047843eda02","resolution":{"observed_at":"2026-08-06T16:09:14.990296Z","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":"2026-08-06T16:09:14.571438Z","title":"Semantic-driven multi- camera pedestrian detection","venue":null,"work_id":"5957ff80-9ccf-4d44-a4da-bce3b678a2f3","year":2022},"citing_paper":{"arxiv_id":"2507.14505","last_updated":"2025-07-19T06:37:14Z","snapshot_observed_at":"2026-08-10T11:21:29.965411Z","submitted_at":"2025-07-19T06:37:14Z","title":"DCHM: Depth-Consistent Human Modeling for Multiview Detection","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-06T16:09:00.973185Z"},"links":{"citing_paper":"/paper/2507.14505"},"observation_digest":"sha256:4b8488f13c48007542f20e740a3df9e0e7cb61d44eb3a60c2a07ed3a3124f080","observation_id":"3615c51f-8aa6-456d-b676-8a133f937c47","resolution":{"observed_at":"2026-08-06T16:09:14.683571Z","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":"2026-08-06T16:09:14.220221Z","title":"Gaga: Group any gaussians via 3d-aware memory bank, 2024","venue":null,"work_id":"ea48b6f1-a2e1-410e-94a1-ba38b82f0bfc","year":2024},"citing_paper":{"arxiv_id":"2507.14505","last_updated":"2025-07-19T06:37:14Z","snapshot_observed_at":"2026-08-10T11:21:29.965411Z","submitted_at":"2025-07-19T06:37:14Z","title":"DCHM: Depth-Consistent Human Modeling for Multiview Detection","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-06T16:09:01.092864Z"},"links":{"citing_paper":"/paper/2507.14505"},"observation_digest":"sha256:fd73e12395788e8d51da161b083587ff60bf4c7d8206262ca88c41d81853d06f","observation_id":"e1ba62cc-8651-4fe0-a14f-fad02b2eaa2d","resolution":{"observed_at":"2026-08-06T16:09:14.398979Z","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":"2112.03471","last_updated":"2023-01-04T06:02:15Z","snapshot_observed_at":"2026-07-06T12:16:01.829426Z","submitted_at":"2021-12-07T03:38:50Z","title":"Voxelized 3D Feature Aggregation for Multiview Detection","version":2},"cited_work":{"arxiv_id":"2112.03471","doi":null,"metadata_source":"pith","pith_arxiv_id":"2112.03471","snapshot_observed_at":"2026-08-06T16:09:05.255952Z","title":"Voxelized 3D Feature Aggregation for Multiview Detection","venue":"cs.CV","work_id":"e676e59f-b2d3-4cdb-a42a-b0bb51bb71e1","year":2021},"citing_paper":{"arxiv_id":"2507.14505","last_updated":"2025-07-19T06:37:14Z","snapshot_observed_at":"2026-08-10T11:21:29.965411Z","submitted_at":"2025-07-19T06:37:14Z","title":"DCHM: Depth-Consistent Human Modeling for Multiview Detection","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-06T16:09:01.219000Z"},"links":{"cited_paper":"/paper/2112.03471","citing_paper":"/paper/2507.14505"},"observation_digest":"sha256:b78665fa83e8a8e45e3c2334d3635793ba4c32662da8d514ccf15387192bc639","observation_id":"729385ec-28ae-4134-a76d-0ab5ab994c60","resolution":{"observed_at":"2026-08-06T16:09:05.387361Z","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":{"arxiv_id":"2207.02013","last_updated":"2023-01-06T00:55:01Z","snapshot_observed_at":"2026-07-06T13:27:57.587449Z","submitted_at":"2022-07-05T12:47:26Z","title":"Multiview Detection with Cardboard Human Modeling","version":5},"cited_work":{"arxiv_id":"2207.02013","doi":null,"metadata_source":"pith","pith_arxiv_id":"2207.02013","snapshot_observed_at":"2026-08-06T16:09:04.979522Z","title":"Multiview Detection with Cardboard Human Modeling","venue":"cs.CV","work_id":"bc8d581f-fd1a-44c7-8649-4fd86b2438df","year":2022},"citing_paper":{"arxiv_id":"2507.14505","last_updated":"2025-07-19T06:37:14Z","snapshot_observed_at":"2026-08-10T11:21:29.965411Z","submitted_at":"2025-07-19T06:37:14Z","title":"DCHM: Depth-Consistent Human Modeling for Multiview Detection","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-06T16:09:01.311716Z"},"links":{"cited_paper":"/paper/2207.02013","citing_paper":"/paper/2507.14505"},"observation_digest":"sha256:4c03473ae3120fb7a0a14e27f2252f0bd81447f068eeb0a2272c7986990c050c","observation_id":"07f8f61a-826c-4e5a-930b-83573099467e","resolution":{"observed_at":"2026-08-06T16:09:05.115221Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T16:09:01.419630Z","title":"Pointnet: Deep learning on point sets for 3d classification and segmentation","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.14505","last_updated":"2025-07-19T06:37:14Z","snapshot_observed_at":"2026-08-10T11:21:29.965411Z","submitted_at":"2025-07-19T06:37:14Z","title":"DCHM: Depth-Consistent Human Modeling for Multiview Detection","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-06T16:09:01.419630Z"},"links":{"citing_paper":"/paper/2507.14505"},"observation_digest":"sha256:dbbc0e74e4f035c854e16bc3577c5c6463e3cfa5f856b7243ec6260c87cdd841","observation_id":"b78421de-9e4e-450a-b79b-d2c4255dcf7f","resolution":{"observed_at":"2026-08-06T16:09:01.419630Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2207.10895","last_updated":"2022-07-25T17:27:35Z","snapshot_observed_at":"2026-07-06T13:34:05.917240Z","submitted_at":"2022-07-22T06:15:20Z","title":"3D Random Occlusion and Multi-Layer Projection for Deep Multi-Camera Pedestrian Localization","version":2},"cited_work":{"arxiv_id":"2207.10895","doi":null,"metadata_source":"pith","pith_arxiv_id":"2207.10895","snapshot_observed_at":"2026-08-06T16:09:04.799398Z","title":"3D Random Occlusion and Multi-Layer Projection for Deep Multi-Camera Pedestrian Localization","venue":"cs.CV","work_id":"afed8fa5-b9c4-4338-acd1-a830588978c6","year":2022},"citing_paper":{"arxiv_id":"2507.14505","last_updated":"2025-07-19T06:37:14Z","snapshot_observed_at":"2026-08-10T11:21:29.965411Z","submitted_at":"2025-07-19T06:37:14Z","title":"DCHM: Depth-Consistent Human Modeling for Multiview Detection","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-06T16:09:01.520223Z"},"links":{"cited_paper":"/paper/2207.10895","citing_paper":"/paper/2507.14505"},"observation_digest":"sha256:8b6313a96aa5765418ec982d0931d8c62eef57544769b203f3d2d35c860ac7c6","observation_id":"f513a139-b5bd-4198-94dd-c94c0fd86b77","resolution":{"observed_at":"2026-08-06T16:09:04.867796Z","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":"2026-08-06T16:09:14.013234Z","title":"Conditional random fields for multi-camera object detection","venue":null,"work_id":"78a3033e-a347-44b9-98ca-000a84f9c04e","year":2011},"citing_paper":{"arxiv_id":"2507.14505","last_updated":"2025-07-19T06:37:14Z","snapshot_observed_at":"2026-08-10T11:21:29.965411Z","submitted_at":"2025-07-19T06:37:14Z","title":"DCHM: Depth-Consistent Human Modeling for Multiview Detection","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-06T16:09:01.626576Z"},"links":{"citing_paper":"/paper/2507.14505"},"observation_digest":"sha256:37ad6bed03e2d79056dfbd73042b8bea65afc80e69ce805f0581757d4f59111f","observation_id":"a85b8567-ddf7-477b-88ac-a7c226c16c0e","resolution":{"observed_at":"2026-08-06T16:09:14.122607Z","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":"2026-08-06T16:09:13.810302Z","title":"Structure-from-motion revisited","venue":null,"work_id":"75a162ca-ae3c-44c8-87e9-943be9d4653b","year":2016},"citing_paper":{"arxiv_id":"2507.14505","last_updated":"2025-07-19T06:37:14Z","snapshot_observed_at":"2026-08-10T11:21:29.965411Z","submitted_at":"2025-07-19T06:37:14Z","title":"DCHM: Depth-Consistent Human Modeling for Multiview Detection","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-06T16:09:01.735792Z"},"links":{"citing_paper":"/paper/2507.14505"},"observation_digest":"sha256:d070101b641cc258fdc34a16a86019108cd4a916212ff41af025fa46e6458073","observation_id":"41879d9d-184f-4fe9-8724-c27652ea03cc","resolution":{"observed_at":"2026-08-06T16:09:13.893379Z","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":"2026-08-06T16:09:13.620361Z","title":"Flashsplat: 2d to 3d gaussian splatting segmentation solved optimally","venue":null,"work_id":"5ed4df65-4422-4087-9957-77c04fe11320","year":2024},"citing_paper":{"arxiv_id":"2507.14505","last_updated":"2025-07-19T06:37:14Z","snapshot_observed_at":"2026-08-10T11:21:29.965411Z","submitted_at":"2025-07-19T06:37:14Z","title":"DCHM: Depth-Consistent Human Modeling for Multiview Detection","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-06T16:09:01.825662Z"},"links":{"citing_paper":"/paper/2507.14505"},"observation_digest":"sha256:519989e3a598dffd07ae8db92bb81211f02fa403a09efdeee4c80e2992aa6a67","observation_id":"faac5e07-2e50-48b5-8bdc-3b35b9f15863","resolution":{"observed_at":"2026-08-06T16:09:13.713526Z","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":"2026-08-06T16:09:13.455395Z","title":"Stacked homography transformations for multi-view pedestrian detection","venue":null,"work_id":"efc4c038-ade2-4c6c-b3f5-770afcbfd21e","year":2021},"citing_paper":{"arxiv_id":"2507.14505","last_updated":"2025-07-19T06:37:14Z","snapshot_observed_at":"2026-08-10T11:21:29.965411Z","submitted_at":"2025-07-19T06:37:14Z","title":"DCHM: Depth-Consistent Human Modeling for Multiview Detection","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-06T16:09:01.953656Z"},"links":{"citing_paper":"/paper/2507.14505"},"observation_digest":"sha256:913ec9854c765f83625c169e16bdf0bfead81fff05fa09ea6b30f91e79341af0","observation_id":"d7b7cf81-a006-458e-aff7-266470225ef3","resolution":{"observed_at":"2026-08-06T16:09:13.545780Z","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":"2026-08-06T16:09:13.246508Z","title":"Selfpose3d: Self-supervised multi-person multi-view 3d pose estimation","venue":null,"work_id":"fac38fc5-3251-4d70-be4e-4db75750d947","year":2024},"citing_paper":{"arxiv_id":"2507.14505","last_updated":"2025-07-19T06:37:14Z","snapshot_observed_at":"2026-08-10T11:21:29.965411Z","submitted_at":"2025-07-19T06:37:14Z","title":"DCHM: Depth-Consistent Human Modeling for Multiview Detection","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-06T16:09:02.015979Z"},"links":{"citing_paper":"/paper/2507.14505"},"observation_digest":"sha256:f07e74f1d4a16515d8e5a10d685785a4bcdbd08fc25895043eb92e59282df208","observation_id":"14aba0a4-1c8e-4854-ab55-7e8291630291","resolution":{"observed_at":"2026-08-06T16:09:13.334366Z","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":"2026-08-06T16:09:13.060679Z","title":"The clear 2006 evaluation","venue":null,"work_id":"e05aa2fb-73dc-40a1-bf3a-2bf142b4eaed","year":2006},"citing_paper":{"arxiv_id":"2507.14505","last_updated":"2025-07-19T06:37:14Z","snapshot_observed_at":"2026-08-10T11:21:29.965411Z","submitted_at":"2025-07-19T06:37:14Z","title":"DCHM: Depth-Consistent Human Modeling for Multiview Detection","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-06T16:09:02.110537Z"},"links":{"citing_paper":"/paper/2507.14505"},"observation_digest":"sha256:1409b160f6415d9d40bf66146606449e4fc8d552e7b52cc88ba07540a8f9a392","observation_id":"7369e706-692e-4451-ab46-8543bf15c847","resolution":{"observed_at":"2026-08-06T16:09:13.131671Z","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":"2026-08-06T16:09:12.120574Z","title":"Earlybird: Early-fusion for multi- view tracking in the bird’s eye view","venue":null,"work_id":"88ec60ef-9e5a-4ecc-92fd-aedf044f31e5","year":2024},"citing_paper":{"arxiv_id":"2507.14505","last_updated":"2025-07-19T06:37:14Z","snapshot_observed_at":"2026-08-10T11:21:29.965411Z","submitted_at":"2025-07-19T06:37:14Z","title":"DCHM: Depth-Consistent Human Modeling for Multiview Detection","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-06T16:09:02.257474Z"},"links":{"citing_paper":"/paper/2507.14505"},"observation_digest":"sha256:1b985f4e1f9cf3d3c3bc984643515306e0d50dc022f5ec6a00fc9d6f3e8b77b3","observation_id":"bdb3d13f-f18c-4670-9c27-d184778f4792","resolution":{"observed_at":"2026-08-06T16:09:12.952167Z","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":"2026-08-06T16:09:11.326299Z","title":"Bringing generalization to deep multi-view pedestrian detection","venue":null,"work_id":"511a7e75-8c88-4d95-8ffa-6a11ca613373","year":2023},"citing_paper":{"arxiv_id":"2507.14505","last_updated":"2025-07-19T06:37:14Z","snapshot_observed_at":"2026-08-10T11:21:29.965411Z","submitted_at":"2025-07-19T06:37:14Z","title":"DCHM: Depth-Consistent Human Modeling for Multiview Detection","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-06T16:09:02.370242Z"},"links":{"citing_paper":"/paper/2507.14505"},"observation_digest":"sha256:7597f7e6aea4aa7d5b34cad15ad57bc87556a072b417712418aa368a63fcb71a","observation_id":"eb65c024-d47f-4a8c-a1d4-ceb45b13ef31","resolution":{"observed_at":"2026-08-06T16:09:11.438573Z","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":"2026-08-06T16:09:11.167924Z","title":"3d-muppet: 3d multi-pigeon pose es- timation and tracking","venue":null,"work_id":"16d67e58-f1ab-45bd-97e9-a8888e746318","year":2024},"citing_paper":{"arxiv_id":"2507.14505","last_updated":"2025-07-19T06:37:14Z","snapshot_observed_at":"2026-08-10T11:21:29.965411Z","submitted_at":"2025-07-19T06:37:14Z","title":"DCHM: Depth-Consistent Human Modeling for Multiview Detection","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-06T16:09:02.476578Z"},"links":{"citing_paper":"/paper/2507.14505"},"observation_digest":"sha256:05a0c968837bdde513e9f9bcb9d0cab496d2332189d3229897b54454f0f9b56f","observation_id":"b7316ba4-37ca-4b88-8075-e40be9f31f99","resolution":{"observed_at":"2026-08-06T16:09:11.243982Z","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":"2402.13616","last_updated":"2024-02-29T03:43:24Z","snapshot_observed_at":"2026-08-06T07:09:56.727218Z","submitted_at":"2024-02-21T08:42:53Z","title":"YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.13616","snapshot_observed_at":"2026-08-06T16:09:02.574346Z","title":"Yolov9: Learning what you want to learn us- ing programmable gradient information","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.14505","last_updated":"2025-07-19T06:37:14Z","snapshot_observed_at":"2026-08-10T11:21:29.965411Z","submitted_at":"2025-07-19T06:37:14Z","title":"DCHM: Depth-Consistent Human Modeling for Multiview Detection","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-06T16:09:02.574346Z"},"links":{"cited_paper":"/paper/2402.13616","citing_paper":"/paper/2507.14505"},"observation_digest":"sha256:299959102fb5c93e3f62b0fae3db58101098a81f5a7c19350ef73be922aa7743","observation_id":"d4931f32-c68d-4474-8d38-363e190fdc77","resolution":{"observed_at":"2026-08-06T16:09:02.574346Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T16:09:10.448722Z","title":"SparseGS: Real-time 360° sparse view synthesis using Gaussian splatting","venue":null,"work_id":"39f8e085-29ba-42fd-969e-2496e0d5a111","year":2024},"citing_paper":{"arxiv_id":"2507.14505","last_updated":"2025-07-19T06:37:14Z","snapshot_observed_at":"2026-08-10T11:21:29.965411Z","submitted_at":"2025-07-19T06:37:14Z","title":"DCHM: Depth-Consistent Human Modeling for Multiview Detection","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-06T16:09:02.664275Z"},"links":{"citing_paper":"/paper/2507.14505"},"observation_digest":"sha256:c95b7c5b31f4163decedfc812f054ae8c6d27fca2f654b6d5c68b94cf8119508","observation_id":"5e4f5405-3a67-498c-b9b0-a81d08351096","resolution":{"observed_at":"2026-08-06T16:09:11.100143Z","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":"2026-08-06T16:09:09.635172Z","title":"Mvpgs: Excavating multi-view priors for gaussian splatting from sparse input views","venue":null,"work_id":"60fac7f5-e426-44e1-adb2-05bfdd78dde1","year":2024},"citing_paper":{"arxiv_id":"2507.14505","last_updated":"2025-07-19T06:37:14Z","snapshot_observed_at":"2026-08-10T11:21:29.965411Z","submitted_at":"2025-07-19T06:37:14Z","title":"DCHM: Depth-Consistent Human Modeling for Multiview Detection","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-06T16:09:02.780038Z"},"links":{"citing_paper":"/paper/2507.14505"},"observation_digest":"sha256:e4adb71b7dc65cd30942cd31e0c2e2bf5813d2b47bd630795a8fc3adbb12ed9e","observation_id":"46d93b22-3435-4226-abcc-979ebf3d3518","resolution":{"observed_at":"2026-08-06T16:09:09.756076Z","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":"2408.11811","last_updated":"2025-02-12T05:16:17Z","snapshot_observed_at":"2026-08-10T07:45:42.543446Z","submitted_at":"2024-08-21T17:57:06Z","title":"EmbodiedSAM: Online Segment Any 3D Thing in Real Time","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.11811","snapshot_observed_at":"2026-08-06T16:09:02.888618Z","title":"Embodiedsam: Online segment any 3d thing in real time","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.14505","last_updated":"2025-07-19T06:37:14Z","snapshot_observed_at":"2026-08-10T11:21:29.965411Z","submitted_at":"2025-07-19T06:37:14Z","title":"DCHM: Depth-Consistent Human Modeling for Multiview Detection","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-06T16:09:02.888618Z"},"links":{"cited_paper":"/paper/2408.11811","citing_paper":"/paper/2507.14505"},"observation_digest":"sha256:95256b21ad05b1e9edc829f437dd64022640868c24412d62ef25e4704941b343","observation_id":"e8891f0c-a024-4b2c-9c86-d7908bc14f9f","resolution":{"observed_at":"2026-08-06T16:09:02.888618Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T16:09:09.402087Z","title":"Multi-view people tracking via hierarchical trajectory com- position","venue":null,"work_id":"bbcb90d4-3b1e-49e1-99f2-1106fed586e1","year":null},"citing_paper":{"arxiv_id":"2507.14505","last_updated":"2025-07-19T06:37:14Z","snapshot_observed_at":"2026-08-10T11:21:29.965411Z","submitted_at":"2025-07-19T06:37:14Z","title":"DCHM: Depth-Consistent Human Modeling for Multiview Detection","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-06T16:09:03.000783Z"},"links":{"citing_paper":"/paper/2507.14505"},"observation_digest":"sha256:7eca648a157479a1a8e2736f90b2732b501eb900ee4b1cc7eb33afd99ca5d42f","observation_id":"c72a9bdf-b09d-4e36-a889-395b5059c20f","resolution":{"observed_at":"2026-08-06T16:09:09.476702Z","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":"2026-08-06T16:09:09.206686Z","title":"Multicamera pedestrian detection using logic minimization","venue":null,"work_id":"daa6326c-c572-4389-8cdb-7d317bc3f1dc","year":2021},"citing_paper":{"arxiv_id":"2507.14505","last_updated":"2025-07-19T06:37:14Z","snapshot_observed_at":"2026-08-10T11:21:29.965411Z","submitted_at":"2025-07-19T06:37:14Z","title":"DCHM: Depth-Consistent Human Modeling for Multiview Detection","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-06T16:09:03.083008Z"},"links":{"citing_paper":"/paper/2507.14505"},"observation_digest":"sha256:9e7de9a3d6891ed348ab4eeb8ea870d93ac00dab29b94e5d7963794f64838899","observation_id":"e360d44a-eeed-4b3a-ae55-afab94fd2607","resolution":{"observed_at":"2026-08-06T16:09:09.287565Z","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":"2026-08-06T16:09:09.000954Z","title":"Depth anything: Unleashing the power of large-scale unlabeled data","venue":null,"work_id":"e8853bed-9378-4e86-b958-71f74607700e","year":2024},"citing_paper":{"arxiv_id":"2507.14505","last_updated":"2025-07-19T06:37:14Z","snapshot_observed_at":"2026-08-10T11:21:29.965411Z","submitted_at":"2025-07-19T06:37:14Z","title":"DCHM: Depth-Consistent Human Modeling for Multiview Detection","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-06T16:09:03.180928Z"},"links":{"citing_paper":"/paper/2507.14505"},"observation_digest":"sha256:d43f3d216c8a155e904201827f15a04693c3b16fd9042dcc6608d8be4bb92fac","observation_id":"531270d4-6bf0-4c8a-a4ee-7e15f9068207","resolution":{"observed_at":"2026-08-06T16:09:09.099161Z","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":"2406.09414","last_updated":"2024-10-20T11:24:09Z","snapshot_observed_at":"2026-07-06T18:30:32.982860Z","submitted_at":"2024-06-13T17:59:56Z","title":"Depth Anything V2","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.09414","snapshot_observed_at":"2026-08-06T16:09:03.241848Z","title":"Depth any- thing v2","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.14505","last_updated":"2025-07-19T06:37:14Z","snapshot_observed_at":"2026-08-10T11:21:29.965411Z","submitted_at":"2025-07-19T06:37:14Z","title":"DCHM: Depth-Consistent Human Modeling for Multiview Detection","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-06T16:09:03.241848Z"},"links":{"cited_paper":"/paper/2406.09414","citing_paper":"/paper/2507.14505"},"observation_digest":"sha256:adef61c0751780d81b9034ddc4f4c6f81e50fa3f2b56e1803855fa96269a22ae","observation_id":"41f63259-c0f3-454a-9ed5-7586536d2be0","resolution":{"observed_at":"2026-08-06T16:09:03.241848Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.00732","last_updated":"2024-07-08T14:11:51Z","snapshot_observed_at":"2026-08-09T12:48:42.182918Z","submitted_at":"2023-12-01T17:09:31Z","title":"Gaussian Grouping: Segment and Edit Anything in 3D Scenes","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.00732","snapshot_observed_at":"2026-08-06T16:09:03.350433Z","title":"Gaussian grouping: Segment and edit anything in 3d scenes","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.14505","last_updated":"2025-07-19T06:37:14Z","snapshot_observed_at":"2026-08-10T11:21:29.965411Z","submitted_at":"2025-07-19T06:37:14Z","title":"DCHM: Depth-Consistent Human Modeling for Multiview Detection","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-06T16:09:03.350433Z"},"links":{"cited_paper":"/paper/2312.00732","citing_paper":"/paper/2507.14505"},"observation_digest":"sha256:5e2262871fc84d5aa8883bdaf51a98fcce4c93bb7c8dba4525556a2b0dbf035f","observation_id":"3d10326a-0439-44a3-a0c8-dc4549a9fe7c","resolution":{"observed_at":"2026-08-06T16:09:03.350433Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T16:09:08.804934Z","title":"Feature 3dgs: Supercharg- ing 3d gaussian splatting to enable distilled feature fields","venue":null,"work_id":"df90f1a0-c2c8-4ae2-bcba-2cf3a8799a5b","year":2024},"citing_paper":{"arxiv_id":"2507.14505","last_updated":"2025-07-19T06:37:14Z","snapshot_observed_at":"2026-08-10T11:21:29.965411Z","submitted_at":"2025-07-19T06:37:14Z","title":"DCHM: Depth-Consistent Human Modeling for Multiview Detection","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-06T16:09:03.465194Z"},"links":{"citing_paper":"/paper/2507.14505"},"observation_digest":"sha256:49f0a497963711da8087991dda8dd0cd7c77f0287a7465e2db5de7790e89c170","observation_id":"a455d15c-602f-4201-895c-f9bd3ba92c67","resolution":{"observed_at":"2026-08-06T16:09:08.917611Z","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":"2026-08-06T16:09:08.596163Z","title":"V oxelnet: End-to-end learning for point cloud based 3d object detection","venue":null,"work_id":"aa20ee9b-e2d5-49ca-9011-9f24e64d97a5","year":2018},"citing_paper":{"arxiv_id":"2507.14505","last_updated":"2025-07-19T06:37:14Z","snapshot_observed_at":"2026-08-10T11:21:29.965411Z","submitted_at":"2025-07-19T06:37:14Z","title":"DCHM: Depth-Consistent Human Modeling for Multiview Detection","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-06T16:09:03.577824Z"},"links":{"citing_paper":"/paper/2507.14505"},"observation_digest":"sha256:da9be4c8f5be7d71d169365074f9b85f2327ecf5316133b234dc782ecd0479ad","observation_id":"a01be451-28e3-4624-8340-8c9b18f96ad4","resolution":{"observed_at":"2026-08-06T16:09:08.683015Z","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":"2026-08-06T16:09:08.419125Z","title":"Multi-camera people detection and tracking,","venue":null,"work_id":"f9761f5d-3df7-4dbc-8850-0074adf083bc","year":null},"citing_paper":{"arxiv_id":"2507.14505","last_updated":"2025-07-19T06:37:14Z","snapshot_observed_at":"2026-08-10T11:21:29.965411Z","submitted_at":"2025-07-19T06:37:14Z","title":"DCHM: Depth-Consistent Human Modeling for Multiview Detection","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-06T16:09:03.669588Z"},"links":{"citing_paper":"/paper/2507.14505"},"observation_digest":"sha256:e49208733a441e2565bc43608adc34ccb7874dcae756aa7a11ab2cad3b4da170","observation_id":"dc31c873-0371-4966-8e37-9dbe429b2857","resolution":{"observed_at":"2026-08-06T16:09:08.506586Z","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":"2026-08-06T16:09:08.249459Z","title":"Fsgs: Real-time few-shot view synthesis using gaussian splatting","venue":null,"work_id":"3ef5d7ce-76a4-4432-b5be-a1971d003f7c","year":2024},"citing_paper":{"arxiv_id":"2507.14505","last_updated":"2025-07-19T06:37:14Z","snapshot_observed_at":"2026-08-10T11:21:29.965411Z","submitted_at":"2025-07-19T06:37:14Z","title":"DCHM: Depth-Consistent Human Modeling for Multiview Detection","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-06T16:09:03.764144Z"},"links":{"citing_paper":"/paper/2507.14505"},"observation_digest":"sha256:67f4aaeed960f001403b660eda3bb96dd6947289325e641f1904443411ef9cf5","observation_id":"0a0aa99a-1a3f-448e-ab66-dd4175b4bd20","resolution":{"observed_at":"2026-08-06T16:09:08.362762Z","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":"2026-08-06T16:09:08.005240Z","title":"Methodology","venue":null,"work_id":"84f135c9-6398-49f2-b886-9cff8adaa26f","year":null},"citing_paper":{"arxiv_id":"2507.14505","last_updated":"2025-07-19T06:37:14Z","snapshot_observed_at":"2026-08-10T11:21:29.965411Z","submitted_at":"2025-07-19T06:37:14Z","title":"DCHM: Depth-Consistent Human Modeling for Multiview Detection","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-06T16:09:03.838485Z"},"links":{"citing_paper":"/paper/2507.14505"},"observation_digest":"sha256:05c73ab47552064f97c60d2a06d57020771cdcbbd419b54aacb0bc95d56cfa10","observation_id":"095fc374-8213-4281-8c1e-e1171bbb4e76","resolution":{"observed_at":"2026-08-06T16:09:08.104565Z","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":"2026-08-06T16:09:07.830014Z","title":"Comparison","venue":null,"work_id":"83a11485-92c2-49eb-b5e6-7679494a4213","year":null},"citing_paper":{"arxiv_id":"2507.14505","last_updated":"2025-07-19T06:37:14Z","snapshot_observed_at":"2026-08-10T11:21:29.965411Z","submitted_at":"2025-07-19T06:37:14Z","title":"DCHM: Depth-Consistent Human Modeling for Multiview Detection","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-06T16:09:03.926218Z"},"links":{"citing_paper":"/paper/2507.14505"},"observation_digest":"sha256:ef9dc09c148ea51348648e1745bcf39b90842d6d1a4c2cc8726a7d46e02bdad9","observation_id":"659f6c43-2319-415d-8024-de08b25e4955","resolution":{"observed_at":"2026-08-06T16:09:07.902375Z","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":"2026-08-06T16:09:07.646928Z","title":"The main functions, such as matching and clustering, are listed in Algorithm 1 and 2","venue":null,"work_id":"cab9d007-0319-4d2d-8a32-3c7b826a7269","year":null},"citing_paper":{"arxiv_id":"2507.14505","last_updated":"2025-07-19T06:37:14Z","snapshot_observed_at":"2026-08-10T11:21:29.965411Z","submitted_at":"2025-07-19T06:37:14Z","title":"DCHM: Depth-Consistent Human Modeling for Multiview Detection","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-06T16:09:04.025512Z"},"links":{"citing_paper":"/paper/2507.14505"},"observation_digest":"sha256:a528594011c71700abf02680d71f932c10d60a61cc1bc6234e7432144b049868","observation_id":"476cd6f5-95f5-4f36-8bfd-6f784fc4ccf5","resolution":{"observed_at":"2026-08-06T16:09:07.728767Z","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":"2026-08-06T16:09:07.497757Z","title":null,"venue":null,"work_id":"9b3e7461-e521-4395-882d-33090312e31c","year":null},"citing_paper":{"arxiv_id":"2507.14505","last_updated":"2025-07-19T06:37:14Z","snapshot_observed_at":"2026-08-10T11:21:29.965411Z","submitted_at":"2025-07-19T06:37:14Z","title":"DCHM: Depth-Consistent Human Modeling for Multiview Detection","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-06T16:09:04.089555Z"},"links":{"citing_paper":"/paper/2507.14505"},"observation_digest":"sha256:77a7dca226dc835f766d40fbcb732f7f4ea59c3c1fcd25537574d1b779b5ce3f","observation_id":"849b51f8-9013-4822-a9f9-9e481bb6a13c","resolution":{"observed_at":"2026-08-06T16:09:07.575214Z","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":"2026-08-06T16:09:07.335430Z","title":"Integrating pro- posed human modeling with supervised method outper- forms existing label-based approaches, achieving both the highest accuracy and computational speed","venue":null,"work_id":"a0370ab9-8984-4985-9173-804a1a0d0c03","year":null},"citing_paper":{"arxiv_id":"2507.14505","last_updated":"2025-07-19T06:37:14Z","snapshot_observed_at":"2026-08-10T11:21:29.965411Z","submitted_at":"2025-07-19T06:37:14Z","title":"DCHM: Depth-Consistent Human Modeling for Multiview Detection","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-06T16:09:04.121613Z"},"links":{"citing_paper":"/paper/2507.14505"},"observation_digest":"sha256:15ab2f16bd60fe99c1642736ecf93f0b10fb82ffb7ffe9c47a80ffd5f46c1253","observation_id":"55b7e7da-a83f-4984-8878-a1fe23e1682f","resolution":{"observed_at":"2026-08-06T16:09:07.425915Z","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":"2026-08-06T16:09:07.025969Z","title":"Although the ground range differs in the MultiviewX dataset, the calculation method remains consistent across both datasets","venue":null,"work_id":"638e299a-7cf4-4dbd-999f-1f2191706016","year":null},"citing_paper":{"arxiv_id":"2507.14505","last_updated":"2025-07-19T06:37:14Z","snapshot_observed_at":"2026-08-10T11:21:29.965411Z","submitted_at":"2025-07-19T06:37:14Z","title":"DCHM: Depth-Consistent Human Modeling for Multiview Detection","version":1},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-06T16:09:04.186097Z"},"links":{"citing_paper":"/paper/2507.14505"},"observation_digest":"sha256:75dc70d8352eb759bf761fbd37cd409134d75e810b97d26bdae3237b91792a7e","observation_id":"184753a5-a550-4b5e-ade1-519cfaada2c3","resolution":{"observed_at":"2026-08-06T16:09:07.212790Z","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":"2026-08-06T16:09:06.696907Z","title":"We define us as the homogenous pixel coordinate in source view vs, Ks is the source view camera intrinsic matrix","venue":null,"work_id":"863c2b39-0c45-414b-9aa5-b5f9cd4c5195","year":null},"citing_paper":{"arxiv_id":"2507.14505","last_updated":"2025-07-19T06:37:14Z","snapshot_observed_at":"2026-08-10T11:21:29.965411Z","submitted_at":"2025-07-19T06:37:14Z","title":"DCHM: Depth-Consistent Human Modeling for Multiview Detection","version":1},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-06T16:09:04.279080Z"},"links":{"citing_paper":"/paper/2507.14505"},"observation_digest":"sha256:b9c58eb3f980830a9aea2cc9bf3b25aaaf1a0a964ee4a116bb10b5464c427d54","observation_id":"eed1bcea-b708-47bd-808d-4cefd91a5083","resolution":{"observed_at":"2026-08-06T16:09:06.866312Z","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":"2026-08-06T16:09:06.432630Z","title":null,"venue":null,"work_id":"1aee7854-9518-4415-88ad-fb589241321a","year":null},"citing_paper":{"arxiv_id":"2507.14505","last_updated":"2025-07-19T06:37:14Z","snapshot_observed_at":"2026-08-10T11:21:29.965411Z","submitted_at":"2025-07-19T06:37:14Z","title":"DCHM: Depth-Consistent Human Modeling for Multiview Detection","version":1},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-06T16:09:04.401525Z"},"links":{"citing_paper":"/paper/2507.14505"},"observation_digest":"sha256:785796a3aeb00d1b9fbce1dc85f15d3d4274bc55cbe8f65f5c61b1f50cd47856","observation_id":"b95ff827-c4f4-4f2c-8f09-0037577260a8","resolution":{"observed_at":"2026-08-06T16:09:06.554577Z","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":"2026-08-06T16:09:06.091934Z","title":"Performance (%) of supervised methods on Wildtrack and MultiviewX.Our-Sup: our human modeling + supervised localization","venue":null,"work_id":"a90fb56e-56a8-4e3f-ae9b-b0571485969e","year":null},"citing_paper":{"arxiv_id":"2507.14505","last_updated":"2025-07-19T06:37:14Z","snapshot_observed_at":"2026-08-10T11:21:29.965411Z","submitted_at":"2025-07-19T06:37:14Z","title":"DCHM: Depth-Consistent Human Modeling for Multiview Detection","version":1},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-06T16:09:04.472229Z"},"links":{"citing_paper":"/paper/2507.14505"},"observation_digest":"sha256:fe04e56677fd3e36eaed4605b9d0f1fc9f17f953a0b0f1cfef5528a7a0d70c08","observation_id":"ba02c901-53bd-41d4-abe1-2dfd5b0515e0","resolution":{"observed_at":"2026-08-06T16:09:06.252284Z","resolver_source":"raw_fallback","status":"malformed_identifier"},"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":"2026-08-06T16:09:05.834359Z","title":"While multiview detection compensation improves monoc- ular detection, its performance is highly dependent on the accuracy of depth estimation","venue":null,"work_id":"7caf252f-7017-45fd-9dbd-db51de16dde9","year":null},"citing_paper":{"arxiv_id":"2507.14505","last_updated":"2025-07-19T06:37:14Z","snapshot_observed_at":"2026-08-10T11:21:29.965411Z","submitted_at":"2025-07-19T06:37:14Z","title":"DCHM: Depth-Consistent Human Modeling for Multiview Detection","version":1},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-08-06T16:09:04.604609Z"},"links":{"citing_paper":"/paper/2507.14505"},"observation_digest":"sha256:a98efc4862580f13593ef7e929d946229ab9fc91839c4ea0593ac28cccdd8c93","observation_id":"f198b27a-01e0-449e-9d2c-61a31b5258a5","resolution":{"observed_at":"2026-08-06T16:09:05.948098Z","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"}}],"paper":{"arxiv_id":"2507.14505","last_updated":"2025-07-19T06:37:14Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-10T11:21:29.965411Z","submitted_at":"2025-07-19T06:37:14Z","title":"DCHM: Depth-Consistent Human Modeling for Multiview Detection"},"reference_resolution":{"displayed":65,"state_counts":{"malformed_identifier":1,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":15,"verified_exact":4,"verified_fuzzy":45},"total_outbound_references":65},"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 65 of 65 outbound references and 0 inbound Pith citation observations for arXiv:2507.14505."}