{"as_of":"2026-08-09T02:53:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:e1fafb5fd81a01bb7461f954a93a24240caa0b52fb859c77753fe0a46b886e5f","coverage":[{"denominator":81,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":81,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-05T12:55:36.286226Z","state":"measured"},{"denominator":81,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":81,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+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/2509.01157/citation-record","integrity":"/paper/2509.01157/integrity","json":"/paper/2509.01157/citation-record.json","paper":"/paper/2509.01157"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2206.14651","last_updated":"2022-07-07T15:36:49Z","snapshot_observed_at":"2026-08-06T22:11:02.627602Z","submitted_at":"2022-06-29T13:45:03Z","title":"BoT-SORT: Robust Associations Multi-Pedestrian Tracking","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2206.14651","snapshot_observed_at":"2026-08-05T12:55:35.698025Z","title":"BoT-SORT: Robust associations multi-pedestrian tracking","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2509.01157","last_updated":"2025-09-01T06:27:52Z","snapshot_observed_at":"2026-08-05T12:55:34.077302Z","submitted_at":"2025-09-01T06:27:52Z","title":"MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-05T12:55:35.698025Z"},"links":{"cited_paper":"/paper/2206.14651","citing_paper":"/paper/2509.01157"},"observation_digest":"sha256:464361ce9c8f0a77e2ee4c1e05f0a365b14e3097c452a2354000607390378770","observation_id":"34624d9e-6fdb-4a4e-a1ca-c2f39652bcd1","resolution":{"observed_at":"2026-08-05T12:55:35.698025Z","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":"2026-08-05T12:55:35.706815Z","title":"Enhancing multi-view pedestrian detection through generalized 3D feature pulling","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.01157","last_updated":"2025-09-01T06:27:52Z","snapshot_observed_at":"2026-08-05T12:55:34.077302Z","submitted_at":"2025-09-01T06:27:52Z","title":"MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-05T12:55:35.706815Z"},"links":{"citing_paper":"/paper/2509.01157"},"observation_digest":"sha256:06cddfa5f02accde6124f7f26fbe54f30548eca0faec1a58aac2ddce10f794a5","observation_id":"600cfcae-41f9-4caf-bbe9-9a0810dc2862","resolution":{"observed_at":"2026-08-05T12:55:35.706815Z","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":"2026-08-05T12:55:40.360267Z","title":"Deep oc- clusion reasoning for multi-camera multi-target detection","venue":null,"work_id":"8f40a71e-e5a6-4f46-8933-75456d845a48","year":2017},"citing_paper":{"arxiv_id":"2509.01157","last_updated":"2025-09-01T06:27:52Z","snapshot_observed_at":"2026-08-05T12:55:34.077302Z","submitted_at":"2025-09-01T06:27:52Z","title":"MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-05T12:55:35.717393Z"},"links":{"citing_paper":"/paper/2509.01157"},"observation_digest":"sha256:77874d80304b0e3061ffd46cc4ffe3ab8b212455d53a55fcd11f8d69a5c475d5","observation_id":"0b9651a9-25c6-413a-96a8-5a42aaff4741","resolution":{"observed_at":"2026-08-05T12:55:40.431457Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T12:55:40.247355Z","title":"Berclaz, F","venue":null,"work_id":"db21df86-7f50-4b97-86bf-8407ba968b6d","year":2006},"citing_paper":{"arxiv_id":"2509.01157","last_updated":"2025-09-01T06:27:52Z","snapshot_observed_at":"2026-08-05T12:55:34.077302Z","submitted_at":"2025-09-01T06:27:52Z","title":"MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-05T12:55:35.727411Z"},"links":{"citing_paper":"/paper/2509.01157"},"observation_digest":"sha256:d740bed5b927e7c1f1df87b386d6df8844ec6f7c3499a693cc46bcb8abbb39a4","observation_id":"ecdb335a-f87d-4c73-a92e-6700e7837a54","resolution":{"observed_at":"2026-08-05T12:55:40.293495Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T12:55:40.174269Z","title":"Learning a neural solver for multiple object tracking","venue":null,"work_id":"c1b32710-bac2-4414-a69e-d710d5b2ac4d","year":2020},"citing_paper":{"arxiv_id":"2509.01157","last_updated":"2025-09-01T06:27:52Z","snapshot_observed_at":"2026-08-05T12:55:34.077302Z","submitted_at":"2025-09-01T06:27:52Z","title":"MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-05T12:55:35.735304Z"},"links":{"citing_paper":"/paper/2509.01157"},"observation_digest":"sha256:3ebc67b1aa96857d51238dd0692f1e8bbbb91af22f57d8c3c569aa3f28f5a8ff","observation_id":"b7f800fb-a58f-4665-8f05-63e16268f6cc","resolution":{"observed_at":"2026-08-05T12:55:40.212852Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T12:55:40.051094Z","title":"End-to- end object detection with transformers","venue":null,"work_id":"71fa773b-7866-4c49-ab3d-f806b6401528","year":2020},"citing_paper":{"arxiv_id":"2509.01157","last_updated":"2025-09-01T06:27:52Z","snapshot_observed_at":"2026-08-05T12:55:34.077302Z","submitted_at":"2025-09-01T06:27:52Z","title":"MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-05T12:55:35.742793Z"},"links":{"citing_paper":"/paper/2509.01157"},"observation_digest":"sha256:f3341115faebe5b7c50a1119ec302c5b844536589d766183ec4898676aa7e32f","observation_id":"cd89e581-58ae-47d2-afe1-72b60804db3b","resolution":{"observed_at":"2026-08-05T12:55:40.085854Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T12:55:39.942888Z","title":"Uni- fying short and long-term tracking with graph hierarchies","venue":null,"work_id":"b650926d-975c-4622-a049-7908cff2e2ee","year":2023},"citing_paper":{"arxiv_id":"2509.01157","last_updated":"2025-09-01T06:27:52Z","snapshot_observed_at":"2026-08-05T12:55:34.077302Z","submitted_at":"2025-09-01T06:27:52Z","title":"MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-05T12:55:35.750252Z"},"links":{"citing_paper":"/paper/2509.01157"},"observation_digest":"sha256:906bf9042db425a0034de469c9e3634e676396d176e54b3bef87e125abe56790","observation_id":"fc8c994d-babc-4746-becc-8df1dc93e839","resolution":{"observed_at":"2026-08-05T12:55:39.995170Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T12:55:39.859801Z","title":"Deep multi- camera people detection","venue":null,"work_id":"a939147b-c29e-4b0d-9c75-636ec397ae44","year":2017},"citing_paper":{"arxiv_id":"2509.01157","last_updated":"2025-09-01T06:27:52Z","snapshot_observed_at":"2026-08-05T12:55:34.077302Z","submitted_at":"2025-09-01T06:27:52Z","title":"MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-05T12:55:35.758683Z"},"links":{"citing_paper":"/paper/2509.01157"},"observation_digest":"sha256:5aa230fd9c1c2e7c320bcbc9d559e24ea5382490f682181409b3b1f752aaf5ae","observation_id":"cfaa2b4f-e652-425c-9e91-4ed1245132b8","resolution":{"observed_at":"2026-08-05T12:55:39.901555Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T12:55:39.768258Z","title":"Wildtrack: A multi-camera hd dataset for dense unscripted pedestrian detection","venue":null,"work_id":"ff1ff83a-35ed-4815-a977-97d8a1ac2687","year":2018},"citing_paper":{"arxiv_id":"2509.01157","last_updated":"2025-09-01T06:27:52Z","snapshot_observed_at":"2026-08-05T12:55:34.077302Z","submitted_at":"2025-09-01T06:27:52Z","title":"MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-05T12:55:35.770137Z"},"links":{"citing_paper":"/paper/2509.01157"},"observation_digest":"sha256:c383abbb20d7dce740400a7f85695aa2538a1c0ee961224da08e42c4b1e11c6d","observation_id":"de85213c-0756-44c1-87d3-6e2e7116c0e1","resolution":{"observed_at":"2026-08-05T12:55:39.808247Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T12:55:39.687845Z","title":"ReST: A reconfigurable spatial-temporal graph model for multi-camera multi-object tracking","venue":null,"work_id":"ea8424a8-3e13-40e9-97d9-14956bef89ff","year":2023},"citing_paper":{"arxiv_id":"2509.01157","last_updated":"2025-09-01T06:27:52Z","snapshot_observed_at":"2026-08-05T12:55:34.077302Z","submitted_at":"2025-09-01T06:27:52Z","title":"MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-05T12:55:35.781380Z"},"links":{"citing_paper":"/paper/2509.01157"},"observation_digest":"sha256:78a2e3335b2a13549337ca54416072e88e6a28711486b5f299a501713000c299","observation_id":"0adb53f3-d32e-49f8-a2eb-63b341c56bcd","resolution":{"observed_at":"2026-08-05T12:55:39.731628Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T12:55:39.598510Z","title":"Online multi- camera people tracking with spatial-temporal mechanism and anchor-feature hierarchical clustering","venue":null,"work_id":"49aa649b-fe81-4008-a1cf-4a4af196c1bf","year":2024},"citing_paper":{"arxiv_id":"2509.01157","last_updated":"2025-09-01T06:27:52Z","snapshot_observed_at":"2026-08-05T12:55:34.077302Z","submitted_at":"2025-09-01T06:27:52Z","title":"MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-05T12:55:35.792957Z"},"links":{"citing_paper":"/paper/2509.01157"},"observation_digest":"sha256:7d9ac7b7b3a74537decd9b8c09eb92ea571c1cbe3a43fcb7ca61373745b6cb03","observation_id":"5360c862-422e-4af6-814c-69e45b778612","resolution":{"observed_at":"2026-08-05T12:55:39.636002Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T12:55:39.492678Z","title":"SportsMOT: A large multi- object tracking dataset in multiple sports scenes","venue":null,"work_id":"c5b26163-d5e6-4ff2-9d17-1305aa1fd5d3","year":null},"citing_paper":{"arxiv_id":"2509.01157","last_updated":"2025-09-01T06:27:52Z","snapshot_observed_at":"2026-08-05T12:55:34.077302Z","submitted_at":"2025-09-01T06:27:52Z","title":"MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-05T12:55:35.801594Z"},"links":{"citing_paper":"/paper/2509.01157"},"observation_digest":"sha256:4fceae8d87e4c63dddf97c3443cdb202bac77710a7fe4d106abdd7d6f81a0313","observation_id":"d60df150-b700-495d-8394-e366788844fe","resolution":{"observed_at":"2026-08-05T12:55:39.541782Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T12:55:39.408754Z","title":"Learning a proposal classifier for multiple object tracking","venue":null,"work_id":"423888ac-5d4e-4f39-a4e8-6c343d45c900","year":2021},"citing_paper":{"arxiv_id":"2509.01157","last_updated":"2025-09-01T06:27:52Z","snapshot_observed_at":"2026-08-05T12:55:34.077302Z","submitted_at":"2025-09-01T06:27:52Z","title":"MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-05T12:55:35.807592Z"},"links":{"citing_paper":"/paper/2509.01157"},"observation_digest":"sha256:25d856ad78f9c203711d816ef5ef1e550f5fc31463f9897313f19f59577167b5","observation_id":"68e3f703-6f5c-49ae-ae91-22cd279a9a8e","resolution":{"observed_at":"2026-08-05T12:55:39.451747Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2410.04817","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T12:55:36.757157Z","title":"Resource-efficient multiview percep- tion: Integrating semantic masking with masked autoen- coders","venue":null,"work_id":"b246ae1c-593a-4d4f-b36d-2c2895bb291c","year":2024},"citing_paper":{"arxiv_id":"2509.01157","last_updated":"2025-09-01T06:27:52Z","snapshot_observed_at":"2026-08-05T12:55:34.077302Z","submitted_at":"2025-09-01T06:27:52Z","title":"MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-05T12:55:35.827985Z"},"links":{"citing_paper":"/paper/2509.01157"},"observation_digest":"sha256:31f68d663db9bcf4e1a85beed211db66571c56184beb8f520750916baa64d1f7","observation_id":"b9173fe7-ede1-47b7-a3cd-2ab3dd4a5150","resolution":{"observed_at":"2026-08-05T12:55:36.770413Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2003.09003","last_updated":"2020-03-19T20:08:24Z","snapshot_observed_at":"2026-08-01T23:12:45.187111Z","submitted_at":"2020-03-19T20:08:24Z","title":"MOT20: A benchmark for multi object tracking in crowded scenes","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2003.09003","snapshot_observed_at":"2026-08-05T12:55:35.836178Z","title":"MOT20: A benchmark for multi object tracking in crowded scenes","venue":null,"work_id":null,"year":2003},"citing_paper":{"arxiv_id":"2509.01157","last_updated":"2025-09-01T06:27:52Z","snapshot_observed_at":"2026-08-05T12:55:34.077302Z","submitted_at":"2025-09-01T06:27:52Z","title":"MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-05T12:55:35.836178Z"},"links":{"cited_paper":"/paper/2003.09003","citing_paper":"/paper/2509.01157"},"observation_digest":"sha256:6046761b289c0b9c0f40f5c1892e208206f988621ee677e78e833e60fd193e3b","observation_id":"9f1a7084-befe-45fb-8fc9-e8b6cda382dd","resolution":{"observed_at":"2026-08-05T12:55:35.836178Z","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":"2026-08-05T12:55:39.266374Z","title":"ImageNet: A large-scale hierarchical image database","venue":null,"work_id":"002a72bd-33ef-4edd-90e1-a9db58484958","year":2009},"citing_paper":{"arxiv_id":"2509.01157","last_updated":"2025-09-01T06:27:52Z","snapshot_observed_at":"2026-08-05T12:55:34.077302Z","submitted_at":"2025-09-01T06:27:52Z","title":"MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-05T12:55:35.846014Z"},"links":{"citing_paper":"/paper/2509.01157"},"observation_digest":"sha256:9c0900408927151b7edd5eedc2b5733528672acc0eab10b9d62c3214112fb617","observation_id":"4bd57ad7-5997-497e-8a89-abd7110dfa10","resolution":{"observed_at":"2026-08-05T12:55:39.352787Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T12:55:39.158952Z","title":"GIAOTracker: A compre- hensive framework for mcmot with global information and optimizing strategies in visdrone 2021","venue":null,"work_id":"68591d1e-c94f-4187-bb3e-64c9166a8296","year":2021},"citing_paper":{"arxiv_id":"2509.01157","last_updated":"2025-09-01T06:27:52Z","snapshot_observed_at":"2026-08-05T12:55:34.077302Z","submitted_at":"2025-09-01T06:27:52Z","title":"MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-05T12:55:35.852804Z"},"links":{"citing_paper":"/paper/2509.01157"},"observation_digest":"sha256:bc285c1c3414eef65b207f7bb9708b3ab07318b87853185a006891a330a3a378","observation_id":"b2473536-5982-4c37-8e00-d4afb02cc346","resolution":{"observed_at":"2026-08-05T12:55:39.213113Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T12:55:39.080423Z","title":"StrongSORT: Make deepsort great again","venue":null,"work_id":"155a5e0d-6ea3-4989-b313-e77025acff0f","year":null},"citing_paper":{"arxiv_id":"2509.01157","last_updated":"2025-09-01T06:27:52Z","snapshot_observed_at":"2026-08-05T12:55:34.077302Z","submitted_at":"2025-09-01T06:27:52Z","title":"MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-05T12:55:35.863372Z"},"links":{"citing_paper":"/paper/2509.01157"},"observation_digest":"sha256:066b56e78d66b8cf71bf55e424239e974726414f536b024c5619f38509b9467e","observation_id":"55efeecb-5a3c-46ab-8e1c-0491ffb4159f","resolution":{"observed_at":"2026-08-05T12:55:39.112787Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T12:55:38.998307Z","title":"Multi-object detection and track- ing (MODT) machine learning model for real-time video surveillance systems","venue":null,"work_id":"2be57313-d2c5-4b5d-b16d-580e1cf307d4","year":2020},"citing_paper":{"arxiv_id":"2509.01157","last_updated":"2025-09-01T06:27:52Z","snapshot_observed_at":"2026-08-05T12:55:34.077302Z","submitted_at":"2025-09-01T06:27:52Z","title":"MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-05T12:55:35.868675Z"},"links":{"citing_paper":"/paper/2509.01157"},"observation_digest":"sha256:801da833dfca7241b1f5b90e9619c2948063ab66a8cfcc98db3012f37c962c94","observation_id":"df5cb951-5ab9-4981-9048-50ab30f44b27","resolution":{"observed_at":"2026-08-05T12:55:39.034283Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T12:55:38.903110Z","title":"Multi-view tracking using weakly supervised human motion prediction","venue":null,"work_id":"1ac353c7-0e8c-4726-8b65-21c445f04563","year":2023},"citing_paper":{"arxiv_id":"2509.01157","last_updated":"2025-09-01T06:27:52Z","snapshot_observed_at":"2026-08-05T12:55:34.077302Z","submitted_at":"2025-09-01T06:27:52Z","title":"MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-05T12:55:35.873621Z"},"links":{"citing_paper":"/paper/2509.01157"},"observation_digest":"sha256:de48676e2e93bb2a154efb752636d18277ddcbf662e1817f4b34dd9f88e7e00e","observation_id":"0de4cb65-e615-43d7-bd84-42673d8302ab","resolution":{"observed_at":"2026-08-05T12:55:38.948045Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T12:55:38.785956Z","title":"Two-level data augmentation for calibrated multi-view de- tection","venue":null,"work_id":"5ab0f1dd-b1ba-4af5-8e26-0fec4060055a","year":2023},"citing_paper":{"arxiv_id":"2509.01157","last_updated":"2025-09-01T06:27:52Z","snapshot_observed_at":"2026-08-05T12:55:34.077302Z","submitted_at":"2025-09-01T06:27:52Z","title":"MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-05T12:55:35.877899Z"},"links":{"citing_paper":"/paper/2509.01157"},"observation_digest":"sha256:46607dbb6825572640494a5727bfbb35eaf04ca5099e52d2157c0c2b24fda179","observation_id":"5a69f601-9b35-4139-be34-4574dbf118da","resolution":{"observed_at":"2026-08-05T12:55:38.865724Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T12:55:38.687352Z","title":"Homography based multiple camera detection and tracking of people in a dense crowd","venue":null,"work_id":"54f267b2-5668-4e46-b42d-d1b37da3768b","year":2008},"citing_paper":{"arxiv_id":"2509.01157","last_updated":"2025-09-01T06:27:52Z","snapshot_observed_at":"2026-08-05T12:55:34.077302Z","submitted_at":"2025-09-01T06:27:52Z","title":"MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-05T12:55:35.883240Z"},"links":{"citing_paper":"/paper/2509.01157"},"observation_digest":"sha256:e2014003209b1231b86f018d8ca0fa10e93cf0e660cef2d2f8886a04dc9fc8eb","observation_id":"79a127c1-7da7-4ffa-ab64-c77fdccc837e","resolution":{"observed_at":"2026-08-05T12:55:38.733051Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T12:55:38.569332Z","title":"Unveiling the power of self-supervision for multi-view multi-human association and tracking","venue":null,"work_id":"a398b3e2-1b36-4521-a46e-aae0dac28745","year":2024},"citing_paper":{"arxiv_id":"2509.01157","last_updated":"2025-09-01T06:27:52Z","snapshot_observed_at":"2026-08-05T12:55:34.077302Z","submitted_at":"2025-09-01T06:27:52Z","title":"MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-05T12:55:35.888639Z"},"links":{"citing_paper":"/paper/2509.01157"},"observation_digest":"sha256:10c472d3dab106457adb63add8cb71c6e0a2a9d702134f7531a8a3f1635ccb5f","observation_id":"245ec55d-6ee3-4f8e-b3e7-3d3b2ff1caad","resolution":{"observed_at":"2026-08-05T12:55:38.613412Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T12:55:38.442969Z","title":"PETS2009: Dataset and challenge","venue":null,"work_id":"1b0b26fb-13c0-4eab-b932-611b7e156531","year":2009},"citing_paper":{"arxiv_id":"2509.01157","last_updated":"2025-09-01T06:27:52Z","snapshot_observed_at":"2026-08-05T12:55:34.077302Z","submitted_at":"2025-09-01T06:27:52Z","title":"MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-05T12:55:35.899713Z"},"links":{"citing_paper":"/paper/2509.01157"},"observation_digest":"sha256:664fb1416ab7a9f2f8ce23cbcce60353502ad734efda5c089203c955eadac489","observation_id":"afb59f6d-258e-44aa-a809-cc431bda4cf9","resolution":{"observed_at":"2026-08-05T12:55:38.494425Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T12:55:38.351699Z","title":"Multicamera people tracking with a probabilistic occupancy map","venue":null,"work_id":"fd0e8c25-d410-405f-926c-322e7a94536b","year":2007},"citing_paper":{"arxiv_id":"2509.01157","last_updated":"2025-09-01T06:27:52Z","snapshot_observed_at":"2026-08-05T12:55:34.077302Z","submitted_at":"2025-09-01T06:27:52Z","title":"MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-05T12:55:35.906467Z"},"links":{"citing_paper":"/paper/2509.01157"},"observation_digest":"sha256:ee00f28f152e249b15b4666f44c7f00f659165c2f59f065cccd490d25508a495","observation_id":"379e5ccd-eba4-46b7-9050-2fc6598a161a","resolution":{"observed_at":"2026-08-05T12:55:38.397366Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T12:55:38.280203Z","title":"Multi-object tracking as attention mechanism","venue":null,"work_id":"6a0416a4-aed0-4f31-af59-45efdac21b80","year":2023},"citing_paper":{"arxiv_id":"2509.01157","last_updated":"2025-09-01T06:27:52Z","snapshot_observed_at":"2026-08-05T12:55:34.077302Z","submitted_at":"2025-09-01T06:27:52Z","title":"MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-05T12:55:35.915950Z"},"links":{"citing_paper":"/paper/2509.01157"},"observation_digest":"sha256:3603057f05024a818ed95ac62a5d9c78b2b946455a6dc039b232b33412e0036b","observation_id":"ebf905b9-2b50-4c1b-ba3c-7034f9c77ecc","resolution":{"observed_at":"2026-08-05T12:55:38.301525Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T12:55:38.213660Z","title":"Multiple human association and tracking from ego- centric and complementary top views","venue":null,"work_id":"c0b214c4-a00b-42f9-a1a3-76df85c189c0","year":2021},"citing_paper":{"arxiv_id":"2509.01157","last_updated":"2025-09-01T06:27:52Z","snapshot_observed_at":"2026-08-05T12:55:34.077302Z","submitted_at":"2025-09-01T06:27:52Z","title":"MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-05T12:55:35.928383Z"},"links":{"citing_paper":"/paper/2509.01157"},"observation_digest":"sha256:b8890895cb7e952404cb76f0606cdb2b3c9f8a7100fd05065d524b9076e7b94d","observation_id":"5a80b65f-35f1-4dee-8807-7a2e629240b2","resolution":{"observed_at":"2026-08-05T12:55:38.251226Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T12:55:38.083054Z","title":"Benchmarking the complementary- view multi-human association and tracking","venue":null,"work_id":"ccbb4ce0-987e-4145-bb4a-932012604e35","year":2024},"citing_paper":{"arxiv_id":"2509.01157","last_updated":"2025-09-01T06:27:52Z","snapshot_observed_at":"2026-08-05T12:55:34.077302Z","submitted_at":"2025-09-01T06:27:52Z","title":"MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-05T12:55:35.935593Z"},"links":{"citing_paper":"/paper/2509.01157"},"observation_digest":"sha256:655d0f6525287d095cf38ae21f8ba44096c0bef634c43da0428255afda9f3686","observation_id":"6195b1f2-b7ed-4624-90a6-94d12501cb60","resolution":{"observed_at":"2026-08-05T12:55:38.162244Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T12:55:35.940657Z","title":"Deep residual learning for image recognition","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2509.01157","last_updated":"2025-09-01T06:27:52Z","snapshot_observed_at":"2026-08-05T12:55:34.077302Z","submitted_at":"2025-09-01T06:27:52Z","title":"MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-05T12:55:35.940657Z"},"links":{"citing_paper":"/paper/2509.01157"},"observation_digest":"sha256:42b8e36295ce5154772ffb14e7253556eefc157a3501b571d3648ee2595fffb0","observation_id":"9ef4cd81-ee53-4aaa-8bd8-8903450afec5","resolution":{"observed_at":"2026-08-05T12:55:35.940657Z","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":"2026-08-05T12:55:37.968559Z","title":"Hyper- graphs for joint multi-view reconstruction and multi-object tracking","venue":null,"work_id":"ab4b9f5f-05e7-4835-a63f-26374695edfb","year":2013},"citing_paper":{"arxiv_id":"2509.01157","last_updated":"2025-09-01T06:27:52Z","snapshot_observed_at":"2026-08-05T12:55:34.077302Z","submitted_at":"2025-09-01T06:27:52Z","title":"MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-05T12:55:35.945563Z"},"links":{"citing_paper":"/paper/2509.01157"},"observation_digest":"sha256:b3a2836e5acd0bd825f3571591960f23e6ae7f6f21f0bf9ff5c019aaad733ce0","observation_id":"164ef92b-36ef-4356-b250-056c1c97c158","resolution":{"observed_at":"2026-08-05T12:55:38.009369Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T12:55:37.892132Z","title":"Multiview detection with shadow transformer (and view-coherent data augmentation)","venue":null,"work_id":"871d6d77-f823-4870-80fe-7a2a819e9e5d","year":2021},"citing_paper":{"arxiv_id":"2509.01157","last_updated":"2025-09-01T06:27:52Z","snapshot_observed_at":"2026-08-05T12:55:34.077302Z","submitted_at":"2025-09-01T06:27:52Z","title":"MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-05T12:55:35.952603Z"},"links":{"citing_paper":"/paper/2509.01157"},"observation_digest":"sha256:3aabd0859f52ae5c8267356a235529d58b36d7fe26cd5d46aa7b3573977a11ac","observation_id":"51b46623-a3c7-4ea2-8b0a-c59a4f444629","resolution":{"observed_at":"2026-08-05T12:55:37.921938Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T12:55:37.858330Z","title":"Multiview detection with feature perspective transformation","venue":null,"work_id":"7cdebb5a-61fb-4310-9eb6-06e9c1d05972","year":null},"citing_paper":{"arxiv_id":"2509.01157","last_updated":"2025-09-01T06:27:52Z","snapshot_observed_at":"2026-08-05T12:55:34.077302Z","submitted_at":"2025-09-01T06:27:52Z","title":"MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-05T12:55:35.957057Z"},"links":{"citing_paper":"/paper/2509.01157"},"observation_digest":"sha256:2646badb4b308e423b8c86cfcbc8b8ee19e0e394669a877c66d2a2e006fd8167","observation_id":"b61bbbe2-1d73-4a25-8395-9c5600aacf6f","resolution":{"observed_at":"2026-08-05T12:55:37.873453Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T12:55:37.824538Z","title":"Principal axis-based correspon- dence between multiple cameras for people tracking.TPAMI,","venue":null,"work_id":"fbf9257a-050b-4487-8dad-8e688a93ffb8","year":null},"citing_paper":{"arxiv_id":"2509.01157","last_updated":"2025-09-01T06:27:52Z","snapshot_observed_at":"2026-08-05T12:55:34.077302Z","submitted_at":"2025-09-01T06:27:52Z","title":"MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-05T12:55:35.964161Z"},"links":{"citing_paper":"/paper/2509.01157"},"observation_digest":"sha256:55bae09b96e566f504d2735437ece7d7187365766b73a0401bf4f8c14dc5375a","observation_id":"e3c711de-6b7f-40cf-9e79-d30f1f8d0441","resolution":{"observed_at":"2026-08-05T12:55:37.837841Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T12:55:37.788227Z","title":"Multiple target tracking by learning-based hierarchical association of detection responses","venue":null,"work_id":"5d126e1e-017e-44c7-a7fd-1885d1a087da","year":2012},"citing_paper":{"arxiv_id":"2509.01157","last_updated":"2025-09-01T06:27:52Z","snapshot_observed_at":"2026-08-05T12:55:34.077302Z","submitted_at":"2025-09-01T06:27:52Z","title":"MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-05T12:55:35.970864Z"},"links":{"citing_paper":"/paper/2509.01157"},"observation_digest":"sha256:63635213e3ca8598fca958e38139da0bea3d2f1578a2b1d2a1fcf2326b09cd33","observation_id":"ac5efe6f-6379-4b24-ab1e-a7a081f84d2f","resolution":{"observed_at":"2026-08-05T12:55:37.802929Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T12:55:37.743153Z","title":null,"venue":null,"work_id":"0500de65-ec69-4527-bec3-1c50802945e0","year":null},"citing_paper":{"arxiv_id":"2509.01157","last_updated":"2025-09-01T06:27:52Z","snapshot_observed_at":"2026-08-05T12:55:34.077302Z","submitted_at":"2025-09-01T06:27:52Z","title":"MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-05T12:55:35.977492Z"},"links":{"citing_paper":"/paper/2509.01157"},"observation_digest":"sha256:9ae1567079a6f627140ee92076647f59d04bc83eaf8d0fcceba2bc86f6640f6a","observation_id":"e9e4c053-674a-4f3e-9106-8da3d83c48d8","resolution":{"observed_at":"2026-08-05T12:55:37.760854Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T12:55:37.708793Z","title":"A new approach to linear filtering and prediction problems","venue":null,"work_id":"b5db25e7-1b35-4175-96db-78759d6f1ace","year":1960},"citing_paper":{"arxiv_id":"2509.01157","last_updated":"2025-09-01T06:27:52Z","snapshot_observed_at":"2026-08-05T12:55:34.077302Z","submitted_at":"2025-09-01T06:27:52Z","title":"MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-05T12:55:35.989272Z"},"links":{"citing_paper":"/paper/2509.01157"},"observation_digest":"sha256:ed6539dc19074b651b1b91d192a547be99a994e67a22533842b1a4f601d00aab","observation_id":"7f8e264e-f59e-4d6f-876b-c350a64c2d7e","resolution":{"observed_at":"2026-08-05T12:55:37.720291Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T12:55:37.669743Z","title":"Framework for performance evaluation of face, text, and vehicle detection and tracking in video: Data, metrics, and protocol","venue":null,"work_id":"83b7e46c-4bcb-4cca-87f3-70513118d4ec","year":2008},"citing_paper":{"arxiv_id":"2509.01157","last_updated":"2025-09-01T06:27:52Z","snapshot_observed_at":"2026-08-05T12:55:34.077302Z","submitted_at":"2025-09-01T06:27:52Z","title":"MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-05T12:55:36.001124Z"},"links":{"citing_paper":"/paper/2509.01157"},"observation_digest":"sha256:fe7623eeb782cc2ec39e51fc13446107b555eeccc4f60963bb344b50fd4ee7d1","observation_id":"6812dc9e-4884-42ac-b145-9977f06c13a5","resolution":{"observed_at":"2026-08-05T12:55:37.684008Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T12:55:37.649187Z","title":"Multi-task learning using uncertainty to weigh losses for scene geome- try and semantics","venue":null,"work_id":"70a65d76-3586-44d1-be45-b6d675579720","year":2018},"citing_paper":{"arxiv_id":"2509.01157","last_updated":"2025-09-01T06:27:52Z","snapshot_observed_at":"2026-08-05T12:55:34.077302Z","submitted_at":"2025-09-01T06:27:52Z","title":"MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-05T12:55:36.011213Z"},"links":{"citing_paper":"/paper/2509.01157"},"observation_digest":"sha256:5b84dcbe0df754629c5fe562975ae7a2d26d7abdbe6aa21df95ba09fbfd3ade8","observation_id":"fcce5478-51ad-4ccf-9968-e94bba831136","resolution":{"observed_at":"2026-08-05T12:55:37.655481Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T12:55:37.620441Z","title":"The hungarian method for the assignment problem","venue":null,"work_id":"791f848d-3bd2-474a-82c9-9e1c72d85549","year":1955},"citing_paper":{"arxiv_id":"2509.01157","last_updated":"2025-09-01T06:27:52Z","snapshot_observed_at":"2026-08-05T12:55:34.077302Z","submitted_at":"2025-09-01T06:27:52Z","title":"MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-05T12:55:36.017459Z"},"links":{"citing_paper":"/paper/2509.01157"},"observation_digest":"sha256:ee184a9869448f3af7d0de9a741c4d69e0f7ee47deafa4dceb8a3b1555265b69","observation_id":"a6e0b30d-e555-4326-85cf-5b61b9424ae0","resolution":{"observed_at":"2026-08-05T12:55:37.628051Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T12:55:37.598554Z","title":"Multi- view target transformation for pedestrian detection","venue":null,"work_id":"43b9fa81-bd97-42be-a40c-37d13394502a","year":2023},"citing_paper":{"arxiv_id":"2509.01157","last_updated":"2025-09-01T06:27:52Z","snapshot_observed_at":"2026-08-05T12:55:34.077302Z","submitted_at":"2025-09-01T06:27:52Z","title":"MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-05T12:55:36.025058Z"},"links":{"citing_paper":"/paper/2509.01157"},"observation_digest":"sha256:0c5862abbb43e8916a44115395e9c19ca35326cf26d8b6434903846d33eed268","observation_id":"8457b26d-63fc-423d-a575-663eba0413b1","resolution":{"observed_at":"2026-08-05T12:55:37.607361Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T12:55:37.573654Z","title":"Cou- pled detection and trajectory estimation for multi-object tracking","venue":null,"work_id":"5574908e-626c-4e94-b110-d65b9210dabf","year":2007},"citing_paper":{"arxiv_id":"2509.01157","last_updated":"2025-09-01T06:27:52Z","snapshot_observed_at":"2026-08-05T12:55:34.077302Z","submitted_at":"2025-09-01T06:27:52Z","title":"MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-05T12:55:36.032925Z"},"links":{"citing_paper":"/paper/2509.01157"},"observation_digest":"sha256:1adbacd2610efa1b2536fde618eb14ce885ea7bfbc226c21985b85c7bca92f5f","observation_id":"bff8a495-d3d5-4117-9786-343a89f24ca6","resolution":{"observed_at":"2026-08-05T12:55:37.582824Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T12:55:37.554541Z","title":"Loshchilov and F","venue":null,"work_id":"74b2d9bb-9afd-4d56-96b4-9ca214689f1b","year":2018},"citing_paper":{"arxiv_id":"2509.01157","last_updated":"2025-09-01T06:27:52Z","snapshot_observed_at":"2026-08-05T12:55:34.077302Z","submitted_at":"2025-09-01T06:27:52Z","title":"MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-05T12:55:36.040839Z"},"links":{"citing_paper":"/paper/2509.01157"},"observation_digest":"sha256:2f2b07beb3e13a5db19563e74b712dd9c5fac127f420c08d2cf0e8baf0f58299","observation_id":"0b77ae92-15cd-434f-acf0-b4d98450e97f","resolution":{"observed_at":"2026-08-05T12:55:37.560710Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T12:55:37.526324Z","title":"HOTA: A higher order metric for evaluating multi-object tracking","venue":null,"work_id":"c316f4fe-3bf5-4fa0-bab7-1a56cf16c1d2","year":2021},"citing_paper":{"arxiv_id":"2509.01157","last_updated":"2025-09-01T06:27:52Z","snapshot_observed_at":"2026-08-05T12:55:34.077302Z","submitted_at":"2025-09-01T06:27:52Z","title":"MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-05T12:55:36.052431Z"},"links":{"citing_paper":"/paper/2509.01157"},"observation_digest":"sha256:07a66b05024dd4e8c470a2d919b24628942a14f5eac293fb3243efd519e4e928","observation_id":"5e79a116-f99a-4f37-be5d-3b461a393c08","resolution":{"observed_at":"2026-08-05T12:55:37.532267Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T12:55:37.507444Z","title":"TrackFormer: Multi-object track- ing with transformers","venue":null,"work_id":"a7b6589f-41f4-4d1c-ae3d-6880acad6fa3","year":2022},"citing_paper":{"arxiv_id":"2509.01157","last_updated":"2025-09-01T06:27:52Z","snapshot_observed_at":"2026-08-05T12:55:34.077302Z","submitted_at":"2025-09-01T06:27:52Z","title":"MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-05T12:55:36.057965Z"},"links":{"citing_paper":"/paper/2509.01157"},"observation_digest":"sha256:88dd216a8376875511b16fbbc5ad6bd0c0221d3b97324fbb1dfef82a4dca2720","observation_id":"9410bb73-441f-462f-a6d4-718e193a1f73","resolution":{"observed_at":"2026-08-05T12:55:37.512719Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1603.00831","last_updated":"2016-05-03T23:55:38Z","snapshot_observed_at":"2026-08-03T05:59:06.882015Z","submitted_at":"2016-03-02T19:07:56Z","title":"MOT16: A Benchmark for Multi-Object Tracking","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1603.00831","snapshot_observed_at":"2026-08-05T12:55:36.062983Z","title":"MOT16: A benchmark for multi-object tracking","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2509.01157","last_updated":"2025-09-01T06:27:52Z","snapshot_observed_at":"2026-08-05T12:55:34.077302Z","submitted_at":"2025-09-01T06:27:52Z","title":"MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-05T12:55:36.062983Z"},"links":{"cited_paper":"/paper/1603.00831","citing_paper":"/paper/2509.01157"},"observation_digest":"sha256:261babc14b2c58d9a07afd51bb8dc78340c06da410f567c6476d3a6427d08936","observation_id":"c5541ce8-a7af-469b-ae49-0020e5dc4d98","resolution":{"observed_at":"2026-08-05T12:55:36.062983Z","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":"2026-08-05T12:55:37.489231Z","title":"LMGP: Lifted multicut meets geometry projections for multi-camera multi-object tracking","venue":null,"work_id":"589d7eed-88dc-4795-8045-db53ba90e14a","year":2022},"citing_paper":{"arxiv_id":"2509.01157","last_updated":"2025-09-01T06:27:52Z","snapshot_observed_at":"2026-08-05T12:55:34.077302Z","submitted_at":"2025-09-01T06:27:52Z","title":"MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-05T12:55:36.067877Z"},"links":{"citing_paper":"/paper/2509.01157"},"observation_digest":"sha256:1ecee8d31334365f419f454048be9050cbb9f252217938b2fa52964b3a6c1241","observation_id":"54dd2fa6-f88b-43ed-8a3b-372053bf484e","resolution":{"observed_at":"2026-08-05T12:55:37.495113Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T12:55:36.073690Z","title":"MCTR: Multi camera tracking transformer","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.01157","last_updated":"2025-09-01T06:27:52Z","snapshot_observed_at":"2026-08-05T12:55:34.077302Z","submitted_at":"2025-09-01T06:27:52Z","title":"MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-05T12:55:36.073690Z"},"links":{"citing_paper":"/paper/2509.01157"},"observation_digest":"sha256:a662d70338b1e4a81094b3773966981a04f844811aa09ec41d2b07c3afd39bc7","observation_id":"46802eb0-685f-4015-ad95-a861e79f98eb","resolution":{"observed_at":"2026-08-05T12:55:36.073690Z","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":"2026-08-05T12:55:37.467475Z","title":"A bayesian filter for multi-view 3D multi- object tracking with occlusion handling","venue":null,"work_id":"10d805d2-1377-4234-88b3-6f9a19f95a70","year":2020},"citing_paper":{"arxiv_id":"2509.01157","last_updated":"2025-09-01T06:27:52Z","snapshot_observed_at":"2026-08-05T12:55:34.077302Z","submitted_at":"2025-09-01T06:27:52Z","title":"MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-05T12:55:36.078572Z"},"links":{"citing_paper":"/paper/2509.01157"},"observation_digest":"sha256:933af845d57c8a137c1079f3584052404e5fd01bc5570dd7e61de771bb6fe684","observation_id":"55b6022f-2b65-45a7-a639-cbcdd5d89be2","resolution":{"observed_at":"2026-08-05T12:55:37.475229Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T12:55:37.440555Z","title":"Multi-object tracking through simultaneous long occlusions and split-merge conditions","venue":null,"work_id":"b77db692-9eee-4d13-a913-562bbc7fc485","year":2006},"citing_paper":{"arxiv_id":"2509.01157","last_updated":"2025-09-01T06:27:52Z","snapshot_observed_at":"2026-08-05T12:55:34.077302Z","submitted_at":"2025-09-01T06:27:52Z","title":"MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-05T12:55:36.084932Z"},"links":{"citing_paper":"/paper/2509.01157"},"observation_digest":"sha256:b83e842256ac628b02210a8197918ef992c29eb491fe9203a34c6bebc4634f5f","observation_id":"b39b5838-0a8f-4e29-b641-e69f0248f96e","resolution":{"observed_at":"2026-08-05T12:55:37.452435Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T12:55:37.406175Z","title":"From a bird’s eye view to see: Joint camera and subject registration without the camera calibration","venue":null,"work_id":"dbdaf30b-82c0-4d5b-b55e-8c052028fd0f","year":2024},"citing_paper":{"arxiv_id":"2509.01157","last_updated":"2025-09-01T06:27:52Z","snapshot_observed_at":"2026-08-05T12:55:34.077302Z","submitted_at":"2025-09-01T06:27:52Z","title":"MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-05T12:55:36.091419Z"},"links":{"citing_paper":"/paper/2509.01157"},"observation_digest":"sha256:d4e32c6401c59d10ee279f580a4aba72ec756bbdfea5e5f5d423c3fdc1fc7c59","observation_id":"1ce281b7-0ab0-41f1-9d80-46b6d3fdcd34","resolution":{"observed_at":"2026-08-05T12:55:37.411573Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T12:55:37.386452Z","title":"MotionTrack: Learning robust short- term and long-term motions for multi-object tracking","venue":null,"work_id":"ed0c20c9-0292-47a0-9f93-f8eb6d22274f","year":2023},"citing_paper":{"arxiv_id":"2509.01157","last_updated":"2025-09-01T06:27:52Z","snapshot_observed_at":"2026-08-05T12:55:34.077302Z","submitted_at":"2025-09-01T06:27:52Z","title":"MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-05T12:55:36.096232Z"},"links":{"citing_paper":"/paper/2509.01157"},"observation_digest":"sha256:b112d2138e19a281a28ce37ce414be678dd7af3f40478474ff222f9439ce6ac4","observation_id":"3fc97ae9-7f5a-447f-ab1a-a401e00974a2","resolution":{"observed_at":"2026-08-05T12:55:37.393805Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T12:55:37.366460Z","title":"3D random occlusion and multi-layer projection for deep multi-camera pedestrian localization","venue":null,"work_id":"c7214f26-5fc0-4216-a839-31ea74dd152a","year":2022},"citing_paper":{"arxiv_id":"2509.01157","last_updated":"2025-09-01T06:27:52Z","snapshot_observed_at":"2026-08-05T12:55:34.077302Z","submitted_at":"2025-09-01T06:27:52Z","title":"MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-05T12:55:36.101944Z"},"links":{"citing_paper":"/paper/2509.01157"},"observation_digest":"sha256:a59900af03146534582d4184edc93a82e88e1047ac5081716d7b54cbefe25f8b","observation_id":"e8b68e5c-e3dd-46ec-b699-bbae19a69115","resolution":{"observed_at":"2026-08-05T12:55:37.372524Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T12:55:37.340921Z","title":"DyGLIP: A dynamic graph model with link prediction for accurate multi-camera multiple object tracking","venue":null,"work_id":"e717ba05-b193-4eaa-882c-d7f35b4e98ef","year":2021},"citing_paper":{"arxiv_id":"2509.01157","last_updated":"2025-09-01T06:27:52Z","snapshot_observed_at":"2026-08-05T12:55:34.077302Z","submitted_at":"2025-09-01T06:27:52Z","title":"MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-05T12:55:36.107186Z"},"links":{"citing_paper":"/paper/2509.01157"},"observation_digest":"sha256:8d85b5e18db4a8ea3fdec1f53e95f4288c8c58f3c0b63f6476d027c50cedf670","observation_id":"f56d5337-78e6-41d3-93c9-8522334789d8","resolution":{"observed_at":"2026-08-05T12:55:37.348425Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T12:55:37.317383Z","title":"Faster R-CNN: Towards real-time object detection with re- gion proposal networks","venue":null,"work_id":"4bd78c67-09f2-4a09-8577-a4d38c4a5006","year":2015},"citing_paper":{"arxiv_id":"2509.01157","last_updated":"2025-09-01T06:27:52Z","snapshot_observed_at":"2026-08-05T12:55:34.077302Z","submitted_at":"2025-09-01T06:27:52Z","title":"MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-05T12:55:36.113534Z"},"links":{"citing_paper":"/paper/2509.01157"},"observation_digest":"sha256:31ed7ff15af965124a4801259dfa321a38a6904e38ce36bc19e3253d18d29848","observation_id":"a3c27c00-5b51-4c8a-86d8-7ab024cf9e97","resolution":{"observed_at":"2026-08-05T12:55:37.323381Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T12:55:37.290592Z","title":"Performance measures and a data set for multi-target, multi-camera tracking","venue":null,"work_id":"b62e73c8-8434-4752-a7d0-f0b2fee30dc8","year":2016},"citing_paper":{"arxiv_id":"2509.01157","last_updated":"2025-09-01T06:27:52Z","snapshot_observed_at":"2026-08-05T12:55:34.077302Z","submitted_at":"2025-09-01T06:27:52Z","title":"MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-05T12:55:36.121840Z"},"links":{"citing_paper":"/paper/2509.01157"},"observation_digest":"sha256:28cfbf8e15b94f2134689b90aa3b1aefc5445b088db120079a43592004ea41da","observation_id":"a32dc753-1f46-4fac-a3e8-d35fcc2533d1","resolution":{"observed_at":"2026-08-05T12:55:37.296585Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T12:55:37.267868Z","title":"Conditional random fields for multi-camera object de- tection","venue":null,"work_id":"180a83f8-c272-47ea-b1c1-6be026f23b4e","year":2011},"citing_paper":{"arxiv_id":"2509.01157","last_updated":"2025-09-01T06:27:52Z","snapshot_observed_at":"2026-08-05T12:55:34.077302Z","submitted_at":"2025-09-01T06:27:52Z","title":"MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-05T12:55:36.128785Z"},"links":{"citing_paper":"/paper/2509.01157"},"observation_digest":"sha256:5e1929c80094bd452207f00a6a9e3854c733d9aaa1ff8a0d6e2c8a7f0c1e5d3b","observation_id":"f823faa2-edcd-43e3-acf4-7a3353c1fe17","resolution":{"observed_at":"2026-08-05T12:55:37.275210Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T12:55:37.238926Z","title":"U- Net: Convolutional networks for biomedical image segmen- tation","venue":null,"work_id":"73076211-5659-4ad5-904e-130a9ca4f573","year":2015},"citing_paper":{"arxiv_id":"2509.01157","last_updated":"2025-09-01T06:27:52Z","snapshot_observed_at":"2026-08-05T12:55:34.077302Z","submitted_at":"2025-09-01T06:27:52Z","title":"MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-05T12:55:36.134443Z"},"links":{"citing_paper":"/paper/2509.01157"},"observation_digest":"sha256:149e8638fb43982d822804bd4bb2b00cd3f78695fdb8b4b0cee2f4b8b33e92df","observation_id":"dd51d198-dd11-4457-a742-6411613b588d","resolution":{"observed_at":"2026-08-05T12:55:37.245610Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T12:55:37.209262Z","title":"Stacked homography transformations for multi-view pedestrian detection","venue":null,"work_id":"99d2671d-1cc7-4cb7-930a-ca5cd7a7dafd","year":2021},"citing_paper":{"arxiv_id":"2509.01157","last_updated":"2025-09-01T06:27:52Z","snapshot_observed_at":"2026-08-05T12:55:34.077302Z","submitted_at":"2025-09-01T06:27:52Z","title":"MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-05T12:55:36.141389Z"},"links":{"citing_paper":"/paper/2509.01157"},"observation_digest":"sha256:42e0188360e4c7fac440c59efdd5bf1711ceaaf6ea6e28299c394ccb6b5ccf92","observation_id":"aeecedbd-bb89-4056-947f-b0f093517a86","resolution":{"observed_at":"2026-08-05T12:55:37.217182Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T12:55:37.182994Z","title":"OCMCTrack: Online multi-target multi- camera tracking with corrective matching cascade","venue":null,"work_id":"902cad2a-4bcb-4bad-aeef-eda70f0f8598","year":2024},"citing_paper":{"arxiv_id":"2509.01157","last_updated":"2025-09-01T06:27:52Z","snapshot_observed_at":"2026-08-05T12:55:34.077302Z","submitted_at":"2025-09-01T06:27:52Z","title":"MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-05T12:55:36.148561Z"},"links":{"citing_paper":"/paper/2509.01157"},"observation_digest":"sha256:b9ab6064ae663cc66b30cbd3d69659db8765638244e8a94998dc3dc1bc77950f","observation_id":"7e8ff8de-1e94-4269-842e-305a24558909","resolution":{"observed_at":"2026-08-05T12:55:37.194423Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T12:55:37.159301Z","title":"DanceTrack: Multi-object track- ing in uniform appearance and diverse motion","venue":null,"work_id":"88a4ac4e-b157-443b-bca2-b70aa39bb7b6","year":null},"citing_paper":{"arxiv_id":"2509.01157","last_updated":"2025-09-01T06:27:52Z","snapshot_observed_at":"2026-08-05T12:55:34.077302Z","submitted_at":"2025-09-01T06:27:52Z","title":"MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-05T12:55:36.154378Z"},"links":{"citing_paper":"/paper/2509.01157"},"observation_digest":"sha256:38f2b173d02fa3cf7882e1ab8a5e6134ec1185becbf3b778d1659c05ee55bc93","observation_id":"f5f0dcda-77cf-496a-a551-7f68b4e34cf5","resolution":{"observed_at":"2026-08-05T12:55:37.165112Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T12:55:37.141391Z","title":"Scene generalized multi-view pedestrian detection with rotation- based augmentation and regularization","venue":null,"work_id":"8b77d32d-4f83-4be1-b245-64695b673972","year":2024},"citing_paper":{"arxiv_id":"2509.01157","last_updated":"2025-09-01T06:27:52Z","snapshot_observed_at":"2026-08-05T12:55:34.077302Z","submitted_at":"2025-09-01T06:27:52Z","title":"MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost","version":1},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-05T12:55:36.165268Z"},"links":{"citing_paper":"/paper/2509.01157"},"observation_digest":"sha256:85979fd07a0816266971875c6f7d72abc0ab9fc482ff7190cf1033df2755cb1b","observation_id":"1ea9dda4-ee57-4e14-9f52-70c7226a8665","resolution":{"observed_at":"2026-08-05T12:55:37.146285Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T12:55:37.119119Z","title":"EarlyBird: Early-fusion for multi- view tracking in the bird’s eye view","venue":null,"work_id":"489799a2-0c73-42be-b3e0-93fbbb7ed877","year":2024},"citing_paper":{"arxiv_id":"2509.01157","last_updated":"2025-09-01T06:27:52Z","snapshot_observed_at":"2026-08-05T12:55:34.077302Z","submitted_at":"2025-09-01T06:27:52Z","title":"MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost","version":1},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-05T12:55:36.170751Z"},"links":{"citing_paper":"/paper/2509.01157"},"observation_digest":"sha256:2671d94412d2b232d16db029f977127429ca63fdd6d9c1620186962decad193c","observation_id":"25f76380-11ef-49d2-96d4-608dde40f410","resolution":{"observed_at":"2026-08-05T12:55:37.125478Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T12:55:37.101214Z","title":"Lifting multi-view detection and tracking to the bird’s eye view","venue":null,"work_id":"6db29ed6-16ed-4c91-a10d-befadaa8e4ce","year":2024},"citing_paper":{"arxiv_id":"2509.01157","last_updated":"2025-09-01T06:27:52Z","snapshot_observed_at":"2026-08-05T12:55:34.077302Z","submitted_at":"2025-09-01T06:27:52Z","title":"MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost","version":1},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-05T12:55:36.176359Z"},"links":{"citing_paper":"/paper/2509.01157"},"observation_digest":"sha256:c19cee3f823c35c7f798fd6eafd5bc47968c6c6be51f445fcd154d87eee04a35","observation_id":"570395fe-6491-4004-93a1-80e1e760a573","resolution":{"observed_at":"2026-08-05T12:55:37.107124Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T12:55:37.081906Z","title":"Vaswani, N","venue":null,"work_id":"da7ad3b4-c61f-4c7c-98a2-9be46337df11","year":2017},"citing_paper":{"arxiv_id":"2509.01157","last_updated":"2025-09-01T06:27:52Z","snapshot_observed_at":"2026-08-05T12:55:34.077302Z","submitted_at":"2025-09-01T06:27:52Z","title":"MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost","version":1},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-05T12:55:36.181693Z"},"links":{"citing_paper":"/paper/2509.01157"},"observation_digest":"sha256:99ccd840427e590c4e446803dd15b24fc9f86b41a0be4a45eaa718bb03b2f362","observation_id":"d66d391e-9842-4667-afb3-ecd5aa3acb0e","resolution":{"observed_at":"2026-08-05T12:55:37.087402Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T12:55:37.043169Z","title":"Bringing generalization to deep multi-view pedestrian detection","venue":null,"work_id":"f79c68ea-4449-4def-a3e9-53264d9db7f4","year":2023},"citing_paper":{"arxiv_id":"2509.01157","last_updated":"2025-09-01T06:27:52Z","snapshot_observed_at":"2026-08-05T12:55:34.077302Z","submitted_at":"2025-09-01T06:27:52Z","title":"MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost","version":1},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-08-05T12:55:36.188677Z"},"links":{"citing_paper":"/paper/2509.01157"},"observation_digest":"sha256:910374f02060c112d030a0eda38d04acafb2a89dfb45ab7bc6acc4e010f81450","observation_id":"e1b344bb-aca1-4ac6-81f5-61c1826328f3","resolution":{"observed_at":"2026-08-05T12:55:37.050968Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2412.00692","last_updated":"2025-03-26T19:59:25Z","snapshot_observed_at":"2026-07-06T19:59:37.692710Z","submitted_at":"2024-12-01T06:18:06Z","title":"MCBLT: Multi-Camera Multi-Object 3D Tracking in Long Videos","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.00692","snapshot_observed_at":"2026-08-05T12:55:36.195365Z","title":"BEV- SUSHI: Multi-target multi-camera 3d detection and tracking in bird’s-eye view","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.01157","last_updated":"2025-09-01T06:27:52Z","snapshot_observed_at":"2026-08-05T12:55:34.077302Z","submitted_at":"2025-09-01T06:27:52Z","title":"MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost","version":1},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-08-05T12:55:36.195365Z"},"links":{"cited_paper":"/paper/2412.00692","citing_paper":"/paper/2509.01157"},"observation_digest":"sha256:c530783339b2a2ffd809b5b750e7d727718bad79ee330ec042fdc6e012412af9","observation_id":"9b380954-8573-48c9-abb4-d186dd07cc25","resolution":{"observed_at":"2026-08-05T12:55:36.195365Z","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":"2026-08-05T12:55:37.024075Z","title":"Towards real-time multi-object tracking","venue":null,"work_id":"29a8dc2b-f9cd-4bf6-b2bd-799b2e4c5762","year":2020},"citing_paper":{"arxiv_id":"2509.01157","last_updated":"2025-09-01T06:27:52Z","snapshot_observed_at":"2026-08-05T12:55:34.077302Z","submitted_at":"2025-09-01T06:27:52Z","title":"MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost","version":1},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-08-05T12:55:36.201179Z"},"links":{"citing_paper":"/paper/2509.01157"},"observation_digest":"sha256:d59db5171ab078f8174f47d3f842c30dbe36f6828045465cb100d522767a5245","observation_id":"70c9021f-89f5-4aad-b015-aaf264c02232","resolution":{"observed_at":"2026-08-05T12:55:37.029804Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T12:55:37.004220Z","title":"A multi modal people tracker for real time human robot interaction","venue":null,"work_id":"50c12181-aeb3-4407-a831-ccea17569f17","year":2019},"citing_paper":{"arxiv_id":"2509.01157","last_updated":"2025-09-01T06:27:52Z","snapshot_observed_at":"2026-08-05T12:55:34.077302Z","submitted_at":"2025-09-01T06:27:52Z","title":"MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost","version":1},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-08-05T12:55:36.210813Z"},"links":{"citing_paper":"/paper/2509.01157"},"observation_digest":"sha256:7c67e022ea3bf9599e400524e7c2d3039b168e1ef349da101d5ae4791d91a63f","observation_id":"eaa092c1-0f59-4cd7-a044-1c6bb174a844","resolution":{"observed_at":"2026-08-05T12:55:37.009521Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T12:55:36.987441Z","title":"Multi-view people tracking via hierarchical trajectory com- position","venue":null,"work_id":"dcb4451f-28fa-4925-87c2-a38438ca86f6","year":2016},"citing_paper":{"arxiv_id":"2509.01157","last_updated":"2025-09-01T06:27:52Z","snapshot_observed_at":"2026-08-05T12:55:34.077302Z","submitted_at":"2025-09-01T06:27:52Z","title":"MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost","version":1},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-08-05T12:55:36.215186Z"},"links":{"citing_paper":"/paper/2509.01157"},"observation_digest":"sha256:c45e0fcaa9fd4b7dfa7aa025b58b428a1ce8d3635b1a0f96c8d539ae36cbdb25","observation_id":"4c11e2f7-5de8-467c-ab73-bac9c99276e5","resolution":{"observed_at":"2026-08-05T12:55:36.992416Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T12:55:36.970767Z","title":"TransCenter: Transformers with dense representations for multiple-object tracking","venue":null,"work_id":"2b6260c1-51d5-4415-a1e9-3e40d1493569","year":2022},"citing_paper":{"arxiv_id":"2509.01157","last_updated":"2025-09-01T06:27:52Z","snapshot_observed_at":"2026-08-05T12:55:34.077302Z","submitted_at":"2025-09-01T06:27:52Z","title":"MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost","version":1},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-08-05T12:55:36.220153Z"},"links":{"citing_paper":"/paper/2509.01157"},"observation_digest":"sha256:23c4bfc4fc23da02c1a3b6415d5ec3d315e92decb23b08c12d3fa238a964336f","observation_id":"32da636a-6962-4877-ab0c-0b8cfef6b4c1","resolution":{"observed_at":"2026-08-05T12:55:36.975477Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T12:55:36.954896Z","title":"An end-to-end tracking framework via multi- view and temporal feature aggregation","venue":null,"work_id":"5a89b045-4d7e-40c9-81d7-b4bda2a59e86","year":2024},"citing_paper":{"arxiv_id":"2509.01157","last_updated":"2025-09-01T06:27:52Z","snapshot_observed_at":"2026-08-05T12:55:34.077302Z","submitted_at":"2025-09-01T06:27:52Z","title":"MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost","version":1},"reference_index":71,"source":"pdf_text","source_observed_at":"2026-08-05T12:55:36.226837Z"},"links":{"citing_paper":"/paper/2509.01157"},"observation_digest":"sha256:870ebbcb05b781a366a830183ee8dd737c5b7511d8c20f676bba0cba8a0f13fa","observation_id":"c61a3d8c-e972-4986-809b-805f500d8c60","resolution":{"observed_at":"2026-08-05T12:55:36.959807Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2003.11753","last_updated":"2020-03-26T06:08:19Z","snapshot_observed_at":"2026-08-03T17:41:28.810112Z","submitted_at":"2020-03-26T06:08:19Z","title":"Real-time 3D Deep Multi-Camera Tracking","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2003.11753","snapshot_observed_at":"2026-08-05T12:55:36.234560Z","title":"Real-time 3D deep multi- camera tracking","venue":null,"work_id":null,"year":2003},"citing_paper":{"arxiv_id":"2509.01157","last_updated":"2025-09-01T06:27:52Z","snapshot_observed_at":"2026-08-05T12:55:34.077302Z","submitted_at":"2025-09-01T06:27:52Z","title":"MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost","version":1},"reference_index":72,"source":"pdf_text","source_observed_at":"2026-08-05T12:55:36.234560Z"},"links":{"cited_paper":"/paper/2003.11753","citing_paper":"/paper/2509.01157"},"observation_digest":"sha256:10f13dfbf784c0026d72d6d7301c5bb551b5777715540f80678bca67316942bd","observation_id":"909cc832-841d-4ea4-87d6-1c099962fd52","resolution":{"observed_at":"2026-08-05T12:55:36.234560Z","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":"2026-08-05T12:55:36.938400Z","title":"Towards dis- criminative representation: Multi-view trajectory contrastive learning for online multi-object tracking","venue":null,"work_id":"14eccdbd-d51c-475e-9d36-32ed9540495d","year":2022},"citing_paper":{"arxiv_id":"2509.01157","last_updated":"2025-09-01T06:27:52Z","snapshot_observed_at":"2026-08-05T12:55:34.077302Z","submitted_at":"2025-09-01T06:27:52Z","title":"MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost","version":1},"reference_index":73,"source":"pdf_text","source_observed_at":"2026-08-05T12:55:36.242228Z"},"links":{"citing_paper":"/paper/2509.01157"},"observation_digest":"sha256:08177c83ebcb16f74471b0c037c042ebebce10f9e3dd582abab150338c821ddb","observation_id":"9996c8a3-600a-48bb-8d49-32e9dea5dbd1","resolution":{"observed_at":"2026-08-05T12:55:36.943704Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T12:55:36.922535Z","title":"MOTR: End-to-end multiple- object tracking with transformer","venue":null,"work_id":"3dd757a6-d12b-4ae5-90ab-972047f9d835","year":2022},"citing_paper":{"arxiv_id":"2509.01157","last_updated":"2025-09-01T06:27:52Z","snapshot_observed_at":"2026-08-05T12:55:34.077302Z","submitted_at":"2025-09-01T06:27:52Z","title":"MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost","version":1},"reference_index":74,"source":"pdf_text","source_observed_at":"2026-08-05T12:55:36.248401Z"},"links":{"citing_paper":"/paper/2509.01157"},"observation_digest":"sha256:5717cd5ee7221ae9e0f682440021c11ac2a50b8537c9c4939769cb29b0a4bc38","observation_id":"662b81f2-f607-432e-8e2f-63a388f8b9f2","resolution":{"observed_at":"2026-08-05T12:55:36.927279Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T12:55:36.905403Z","title":"Global data as- sociation for multi-object tracking using network flows","venue":null,"work_id":"47c908db-be67-4450-bbd0-f7c3a7830090","year":2008},"citing_paper":{"arxiv_id":"2509.01157","last_updated":"2025-09-01T06:27:52Z","snapshot_observed_at":"2026-08-05T12:55:34.077302Z","submitted_at":"2025-09-01T06:27:52Z","title":"MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost","version":1},"reference_index":75,"source":"pdf_text","source_observed_at":"2026-08-05T12:55:36.253326Z"},"links":{"citing_paper":"/paper/2509.01157"},"observation_digest":"sha256:f495884fe3d042f458fa1cd31a31b729261bb2360c1e7ea90660e9ce0c0bf216","observation_id":"5368fff5-0a89-4514-9b50-331104015ebe","resolution":{"observed_at":"2026-08-05T12:55:36.910906Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T12:55:36.888601Z","title":"Cross-view cross- scene multi-view crowd counting","venue":null,"work_id":"4603233b-d86f-44ff-b69f-a4a75bff32dc","year":2021},"citing_paper":{"arxiv_id":"2509.01157","last_updated":"2025-09-01T06:27:52Z","snapshot_observed_at":"2026-08-05T12:55:34.077302Z","submitted_at":"2025-09-01T06:27:52Z","title":"MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost","version":1},"reference_index":76,"source":"pdf_text","source_observed_at":"2026-08-05T12:55:36.261069Z"},"links":{"citing_paper":"/paper/2509.01157"},"observation_digest":"sha256:32717c985da376c13e266c5e80fa4f9d789415c53b20790a878048ddb3b03b9c","observation_id":"4ba57c3c-726e-4b4f-9b32-b44b183c045f","resolution":{"observed_at":"2026-08-05T12:55:36.893407Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T12:55:36.868467Z","title":"Mahalanobis distance-based multi-view optimal transport for multi-view crowd localization","venue":null,"work_id":"103de6ce-8215-42b4-b77d-b4659864dba1","year":2024},"citing_paper":{"arxiv_id":"2509.01157","last_updated":"2025-09-01T06:27:52Z","snapshot_observed_at":"2026-08-05T12:55:34.077302Z","submitted_at":"2025-09-01T06:27:52Z","title":"MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost","version":1},"reference_index":77,"source":"pdf_text","source_observed_at":"2026-08-05T12:55:36.266234Z"},"links":{"citing_paper":"/paper/2509.01157"},"observation_digest":"sha256:cac2b9b5c7db90a84a0a127567e1f03c5306160df343089a519bf9a4b02b6a6b","observation_id":"5c42e5d9-2fbd-4861-9682-d2818193975f","resolution":{"observed_at":"2026-08-05T12:55:36.876208Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T12:55:36.851236Z","title":"FairMOT: On the fairness of detection and re-identification in multiple object tracking","venue":null,"work_id":"fdb2cea7-a320-4c51-87b3-c7d8b8ac7d8b","year":2021},"citing_paper":{"arxiv_id":"2509.01157","last_updated":"2025-09-01T06:27:52Z","snapshot_observed_at":"2026-08-05T12:55:34.077302Z","submitted_at":"2025-09-01T06:27:52Z","title":"MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost","version":1},"reference_index":78,"source":"pdf_text","source_observed_at":"2026-08-05T12:55:36.271729Z"},"links":{"citing_paper":"/paper/2509.01157"},"observation_digest":"sha256:9105d2592d25229212e007e34c1bef04efcca29e4cf84b1f0db7d7077fa02442","observation_id":"017499c7-a9e3-46f3-864b-21047a84e12f","resolution":{"observed_at":"2026-08-05T12:55:36.856635Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1904.07850","last_updated":"2019-04-25T16:20:02Z","snapshot_observed_at":"2026-07-06T07:46:34.901111Z","submitted_at":"2019-04-16T17:54:26Z","title":"Objects as Points","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1904.07850","snapshot_observed_at":"2026-08-05T12:55:36.276425Z","title":"Ob- jects as points","venue":null,"work_id":null,"year":1904},"citing_paper":{"arxiv_id":"2509.01157","last_updated":"2025-09-01T06:27:52Z","snapshot_observed_at":"2026-08-05T12:55:34.077302Z","submitted_at":"2025-09-01T06:27:52Z","title":"MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost","version":1},"reference_index":79,"source":"pdf_text","source_observed_at":"2026-08-05T12:55:36.276425Z"},"links":{"cited_paper":"/paper/1904.07850","citing_paper":"/paper/2509.01157"},"observation_digest":"sha256:bd223ce91d9698b7cd125a72733e6b0b51d9b395e46007580b38f45e64c77880","observation_id":"b7f50dea-f49c-4481-b660-d7f4c1a38d6f","resolution":{"observed_at":"2026-08-05T12:55:36.276425Z","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":"2026-08-05T12:55:36.830630Z","title":"Global tracking transformers","venue":null,"work_id":"e97c8c25-6633-48e1-8337-b82eb34df0c4","year":2022},"citing_paper":{"arxiv_id":"2509.01157","last_updated":"2025-09-01T06:27:52Z","snapshot_observed_at":"2026-08-05T12:55:34.077302Z","submitted_at":"2025-09-01T06:27:52Z","title":"MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost","version":1},"reference_index":80,"source":"pdf_text","source_observed_at":"2026-08-05T12:55:36.281705Z"},"links":{"citing_paper":"/paper/2509.01157"},"observation_digest":"sha256:56d595f96818804d8fb6d5d57b0beb57b2c811d504fb81908d3c94f1cc69ef29","observation_id":"51d7c1de-6910-4bb2-9fa4-ee9ab50be741","resolution":{"observed_at":"2026-08-05T12:55:36.837747Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T12:55:36.808385Z","title":"Online multi-object tracking with dual matching attention networks","venue":null,"work_id":"b89dda49-9bc6-4b5f-9a56-5d395c0065c5","year":2018},"citing_paper":{"arxiv_id":"2509.01157","last_updated":"2025-09-01T06:27:52Z","snapshot_observed_at":"2026-08-05T12:55:34.077302Z","submitted_at":"2025-09-01T06:27:52Z","title":"MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost","version":1},"reference_index":81,"source":"pdf_text","source_observed_at":"2026-08-05T12:55:36.286226Z"},"links":{"citing_paper":"/paper/2509.01157"},"observation_digest":"sha256:827b9d9f61cb008cff327f7f840d791de41af159052bf23db6574e8d49224c52","observation_id":"7d4de46e-970f-4546-96b4-cf0799b1d8ea","resolution":{"observed_at":"2026-08-05T12:55:36.814596Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2509.01157","last_updated":"2025-09-01T06:27:52Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-05T12:55:34.077302Z","submitted_at":"2025-09-01T06:27:52Z","title":"MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost"},"reference_resolution":{"displayed":81,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":10,"verified_exact":1,"verified_fuzzy":70},"total_outbound_references":81},"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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 81 of 81 outbound references and 0 inbound Pith citation observations for arXiv:2509.01157."}