{"as_of":"2026-08-08T22:40:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:b8fa2de187f036755020e298299dab076068ce3bdc994bec45fed8d9a16424cd","coverage":[{"denominator":40,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":40,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T18:18:05.439802Z","state":"measured"},{"denominator":41,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":41,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-05-25T07:44:25.569277Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-05-25T07:45:28.818372Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2507.08729","last_updated":"2025-07-21T11:26:42Z","snapshot_observed_at":"2026-08-08T12:29:49.496472Z","submitted_at":"2025-07-11T16:30:27Z","title":"RoundaboutHD: High-Resolution Real-World Urban Environment Benchmark for Multi-Camera Vehicle Tracking","version":2},"cited_work":{"arxiv_id":"2507.08729","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2507.08729","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"a2506009-344c-4853-a74f-364acb4bac92","year":2014},"citing_paper":{"arxiv_id":"2511.13904","last_updated":"2026-05-22T17:20:47Z","snapshot_observed_at":"2026-08-02T16:02:47.855101Z","submitted_at":"2025-11-17T20:55:14Z","title":"Edge Assisted Multi-Camera Vehicle Tracking Framework for Real-Time and Scalable Deployment","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-05-25T07:44:25.569277Z"},"links":{"cited_paper":"/paper/2507.08729","citing_paper":"/paper/2511.13904"},"observation_digest":"sha256:002cb74d36688a155da433ecbe968eb7fdc67f3410c9a3d2ca2abfb5b65ae39a","observation_id":"e103f12b-9549-45e8-a5fd-7468c76909fa","resolution":{"observed_at":"2026-05-25T07:45:28.821460Z","resolver_source":"arxiv_id","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"}}],"links":{"evidence":"/evidence","html":"/paper/2507.08729/citation-record","integrity":"/paper/2507.08729/integrity","json":"/paper/2507.08729/citation-record.json","paper":"/paper/2507.08729"},"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":"2026-08-06T18:18:01.702601Z","title":"Bot- sort: Robust associations multi-pedestrian tracking","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.08729","last_updated":"2025-07-21T11:26:42Z","snapshot_observed_at":"2026-08-08T12:29:49.496472Z","submitted_at":"2025-07-11T16:30:27Z","title":"RoundaboutHD: High-Resolution Real-World Urban Environment Benchmark for Multi-Camera Vehicle Tracking","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T18:18:01.702601Z"},"links":{"cited_paper":"/paper/2206.14651","citing_paper":"/paper/2507.08729"},"observation_digest":"sha256:719baf49f46b00ff5232dfb04219af09b176fd9385089639ba29bfcaf4ffab52","observation_id":"31df88ce-c094-49ac-b9ae-097bbd61dce7","resolution":{"observed_at":"2026-08-06T18:18:01.702601Z","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":"2026-08-06T18:18:11.116925Z","title":"Multi-camera multi-object tracking: A review of current trends and future advances","venue":null,"work_id":"5262abdf-0889-4d98-9f27-b8c72fe4e6a2","year":2023},"citing_paper":{"arxiv_id":"2507.08729","last_updated":"2025-07-21T11:26:42Z","snapshot_observed_at":"2026-08-08T12:29:49.496472Z","submitted_at":"2025-07-11T16:30:27Z","title":"RoundaboutHD: High-Resolution Real-World Urban Environment Benchmark for Multi-Camera Vehicle Tracking","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T18:18:01.743306Z"},"links":{"citing_paper":"/paper/2507.08729"},"observation_digest":"sha256:d968ab9174ccdbf38f3432d2c5aa204c105e147796c56f2a98a979aa808bf9a0","observation_id":"0b98a25f-f672-4da3-a86a-d7840e683a4e","resolution":{"observed_at":"2026-08-06T18:18:11.193760Z","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":"2026-08-06T18:18:01.832753Z","title":"Evaluating mul- tiple object tracking performance: the clear mot metrics","venue":null,"work_id":null,"year":2008},"citing_paper":{"arxiv_id":"2507.08729","last_updated":"2025-07-21T11:26:42Z","snapshot_observed_at":"2026-08-08T12:29:49.496472Z","submitted_at":"2025-07-11T16:30:27Z","title":"RoundaboutHD: High-Resolution Real-World Urban Environment Benchmark for Multi-Camera Vehicle Tracking","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-06T18:18:01.832753Z"},"links":{"citing_paper":"/paper/2507.08729"},"observation_digest":"sha256:97c3da24b11a2bc3f0c5f57552781bf9eb44b03fd3fdd11471821210bbefe6fc","observation_id":"75d32a35-af83-4d65-8b2d-0d0f0f171fd0","resolution":{"observed_at":"2026-08-06T18:18:01.832753Z","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":"2026-08-06T18:18:10.970486Z","title":"BoxMOT: Pluggable sota multi-object tracking modules for segmentation, object detection, and pose estimation","venue":null,"work_id":"14a36b8e-98a8-4fe2-83ef-66afb20cc95e","year":2025},"citing_paper":{"arxiv_id":"2507.08729","last_updated":"2025-07-21T11:26:42Z","snapshot_observed_at":"2026-08-08T12:29:49.496472Z","submitted_at":"2025-07-11T16:30:27Z","title":"RoundaboutHD: High-Resolution Real-World Urban Environment Benchmark for Multi-Camera Vehicle Tracking","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T18:18:01.930872Z"},"links":{"citing_paper":"/paper/2507.08729"},"observation_digest":"sha256:5151a2066e17aff08ebdddacd460a4f8e7c304e0210dd83e06296feff0ff7702","observation_id":"9b31791a-1ce8-4e25-80f4-16faf8187b58","resolution":{"observed_at":"2026-08-06T18:18:11.023684Z","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":"2026-08-06T18:18:10.758234Z","title":"Observation-centric sort: Rethink- ing sort for robust multi-object tracking","venue":null,"work_id":"666a558e-14e4-4ba8-9bf5-155626aafddf","year":2023},"citing_paper":{"arxiv_id":"2507.08729","last_updated":"2025-07-21T11:26:42Z","snapshot_observed_at":"2026-08-08T12:29:49.496472Z","submitted_at":"2025-07-11T16:30:27Z","title":"RoundaboutHD: High-Resolution Real-World Urban Environment Benchmark for Multi-Camera Vehicle Tracking","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T18:18:02.034355Z"},"links":{"citing_paper":"/paper/2507.08729"},"observation_digest":"sha256:dbb036c1d94c2e08498a3328609e0cb9373803f430e7b52cc4899d02fb261fbd","observation_id":"3551df9d-5339-4f91-ad70-34886130a30e","resolution":{"observed_at":"2026-08-06T18:18:10.856139Z","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":"2111.00880","last_updated":"2022-04-25T11:24:21Z","snapshot_observed_at":"2026-07-06T12:04:09.677323Z","submitted_at":"2021-11-01T12:14:28Z","title":"Benchmarks for Corruption Invariant Person Re-identification","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2111.00880","snapshot_observed_at":"2026-08-06T18:18:02.127502Z","title":"Bench- marks for corruption invariant person re-identification.arXiv preprint arXiv:2111.00880, 2021","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2507.08729","last_updated":"2025-07-21T11:26:42Z","snapshot_observed_at":"2026-08-08T12:29:49.496472Z","submitted_at":"2025-07-11T16:30:27Z","title":"RoundaboutHD: High-Resolution Real-World Urban Environment Benchmark for Multi-Camera Vehicle Tracking","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-06T18:18:02.127502Z"},"links":{"cited_paper":"/paper/2111.00880","citing_paper":"/paper/2507.08729"},"observation_digest":"sha256:72571d57297e665d9a8552e6831806366e47ef59228f6cde655d16e3403e95cb","observation_id":"5c454a6e-1601-4b59-872d-ee57ddad5e45","resolution":{"observed_at":"2026-08-06T18:18:02.127502Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"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":"2026-08-06T18:18:02.216704Z","title":"Mot20: A benchmark for multi object tracking in crowded scenes","venue":null,"work_id":null,"year":2003},"citing_paper":{"arxiv_id":"2507.08729","last_updated":"2025-07-21T11:26:42Z","snapshot_observed_at":"2026-08-08T12:29:49.496472Z","submitted_at":"2025-07-11T16:30:27Z","title":"RoundaboutHD: High-Resolution Real-World Urban Environment Benchmark for Multi-Camera Vehicle Tracking","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T18:18:02.216704Z"},"links":{"cited_paper":"/paper/2003.09003","citing_paper":"/paper/2507.08729"},"observation_digest":"sha256:3cd36ce0eaa5ea3112e163644c9e39c1ef7797d5b8583eaa8a98a077001d2363","observation_id":"a298dc06-3b75-457c-a5b6-cc3c1720b2a4","resolution":{"observed_at":"2026-08-06T18:18:02.216704Z","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":"2026-08-06T18:18:10.443863Z","title":"Imagenet: A large-scale hierarchical image database","venue":null,"work_id":"97ba5165-1b22-4800-b3ce-ef1a2c1c12b3","year":2009},"citing_paper":{"arxiv_id":"2507.08729","last_updated":"2025-07-21T11:26:42Z","snapshot_observed_at":"2026-08-08T12:29:49.496472Z","submitted_at":"2025-07-11T16:30:27Z","title":"RoundaboutHD: High-Resolution Real-World Urban Environment Benchmark for Multi-Camera Vehicle Tracking","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T18:18:02.297694Z"},"links":{"citing_paper":"/paper/2507.08729"},"observation_digest":"sha256:a0cd4ca6945b4442c377cee0dc90bc17798c2ecb8598e6301a406d13a78acf6a","observation_id":"38dcb4d8-4579-49ff-9e48-a991d5487cc8","resolution":{"observed_at":"2026-08-06T18:18:10.604000Z","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":"2026-08-06T18:18:10.088885Z","title":"CARLA: An open urban driving simulator","venue":null,"work_id":"e11a38be-9e21-42a9-8369-ec8e2698b085","year":2017},"citing_paper":{"arxiv_id":"2507.08729","last_updated":"2025-07-21T11:26:42Z","snapshot_observed_at":"2026-08-08T12:29:49.496472Z","submitted_at":"2025-07-11T16:30:27Z","title":"RoundaboutHD: High-Resolution Real-World Urban Environment Benchmark for Multi-Camera Vehicle Tracking","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T18:18:02.438839Z"},"links":{"citing_paper":"/paper/2507.08729"},"observation_digest":"sha256:58e12c2d7be32b384ab8ddba3bff417802b45fdffba56c12640db199852c0dba","observation_id":"278db59e-6049-407b-89b0-e984a921f74e","resolution":{"observed_at":"2026-08-06T18:18:10.243400Z","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":"1712.07438","last_updated":"2017-12-20T12:13:44Z","snapshot_observed_at":"2026-08-07T05:11:53.195216Z","submitted_at":"2017-12-20T12:13:44Z","title":"CameraTransform: a Scientific Python Package for Perspective Camera Corrections","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1712.07438","snapshot_observed_at":"2026-08-06T18:18:02.590511Z","title":"Cameratransform: a scientific python package for perspective camera corrections","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2507.08729","last_updated":"2025-07-21T11:26:42Z","snapshot_observed_at":"2026-08-08T12:29:49.496472Z","submitted_at":"2025-07-11T16:30:27Z","title":"RoundaboutHD: High-Resolution Real-World Urban Environment Benchmark for Multi-Camera Vehicle Tracking","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T18:18:02.590511Z"},"links":{"cited_paper":"/paper/1712.07438","citing_paper":"/paper/2507.08729"},"observation_digest":"sha256:afa8361059fa1c2de8c1043b78825fb35d709875626aa59785be1af4d9c9d871","observation_id":"f0a1b292-1a62-43d1-ac24-c34a321ff614","resolution":{"observed_at":"2026-08-06T18:18:02.590511Z","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":"2026-08-06T18:18:02.692873Z","title":"Fast r-cnn","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.08729","last_updated":"2025-07-21T11:26:42Z","snapshot_observed_at":"2026-08-08T12:29:49.496472Z","submitted_at":"2025-07-11T16:30:27Z","title":"RoundaboutHD: High-Resolution Real-World Urban Environment Benchmark for Multi-Camera Vehicle Tracking","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T18:18:02.692873Z"},"links":{"citing_paper":"/paper/2507.08729"},"observation_digest":"sha256:72caabe6feed63eb358d6809206d2fc85be480bb9da02bfda0141e08464e83ae","observation_id":"0330b443-7ecf-4dbf-b408-458b916859b0","resolution":{"observed_at":"2026-08-06T18:18:02.692873Z","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":"2026-08-06T18:18:09.815005Z","title":"Learning coarse-to-fine structured feature embedding for vehicle re-identification","venue":null,"work_id":"2ab04a06-7688-4a5a-b4c8-29a002a7e68a","year":2018},"citing_paper":{"arxiv_id":"2507.08729","last_updated":"2025-07-21T11:26:42Z","snapshot_observed_at":"2026-08-08T12:29:49.496472Z","submitted_at":"2025-07-11T16:30:27Z","title":"RoundaboutHD: High-Resolution Real-World Urban Environment Benchmark for Multi-Camera Vehicle Tracking","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-06T18:18:02.752219Z"},"links":{"citing_paper":"/paper/2507.08729"},"observation_digest":"sha256:99f369110b3756535000a40e231983fc1363e7c910136c37bf08976863ae3d9a","observation_id":"e5821b53-b4b0-4d83-825d-d3eb10045d88","resolution":{"observed_at":"2026-08-06T18:18:09.963926Z","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":"2026-08-06T18:18:02.814718Z","title":"Deep residual learning for image recognition","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2507.08729","last_updated":"2025-07-21T11:26:42Z","snapshot_observed_at":"2026-08-08T12:29:49.496472Z","submitted_at":"2025-07-11T16:30:27Z","title":"RoundaboutHD: High-Resolution Real-World Urban Environment Benchmark for Multi-Camera Vehicle Tracking","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-06T18:18:02.814718Z"},"links":{"citing_paper":"/paper/2507.08729"},"observation_digest":"sha256:ee892d1703cb2b4930b0d7a413eecbad5ce1416d75aa86a8bc0e93a52c2f5893","observation_id":"768315dc-8237-4e87-a88e-c517210cc0b0","resolution":{"observed_at":"2026-08-06T18:18:02.814718Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2006.02631","last_updated":"2020-07-15T03:33:02Z","snapshot_observed_at":"2026-08-07T08:10:17.948650Z","submitted_at":"2020-06-04T03:51:43Z","title":"FastReID: A Pytorch Toolbox for General Instance Re-identification","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2006.02631","snapshot_observed_at":"2026-08-06T18:18:02.878893Z","title":"Fastreid: A pytorch toolbox for general instance re-identification","venue":null,"work_id":null,"year":2006},"citing_paper":{"arxiv_id":"2507.08729","last_updated":"2025-07-21T11:26:42Z","snapshot_observed_at":"2026-08-08T12:29:49.496472Z","submitted_at":"2025-07-11T16:30:27Z","title":"RoundaboutHD: High-Resolution Real-World Urban Environment Benchmark for Multi-Camera Vehicle Tracking","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T18:18:02.878893Z"},"links":{"cited_paper":"/paper/2006.02631","citing_paper":"/paper/2507.08729"},"observation_digest":"sha256:91809ba7abcc9b8af2db3d5bfb8178786305f794309769afc6766b841f0dee8f","observation_id":"2237f36f-7e95-407e-9f36-df20af1284be","resolution":{"observed_at":"2026-08-06T18:18:02.878893Z","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":"2026-08-06T18:18:09.666698Z","title":"Synthehicle: Multi- vehicle multi-camera tracking in virtual cities","venue":null,"work_id":"178ff820-9762-4293-95ca-34d04c0c4166","year":2023},"citing_paper":{"arxiv_id":"2507.08729","last_updated":"2025-07-21T11:26:42Z","snapshot_observed_at":"2026-08-08T12:29:49.496472Z","submitted_at":"2025-07-11T16:30:27Z","title":"RoundaboutHD: High-Resolution Real-World Urban Environment Benchmark for Multi-Camera Vehicle Tracking","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-06T18:18:02.949722Z"},"links":{"citing_paper":"/paper/2507.08729"},"observation_digest":"sha256:49c236038dfd7faf300db9e642b9e41a5599d8f32f2f6cee1c1a4dc276496392","observation_id":"f0c5cd81-af4b-4a32-a8b7-6b0be7c5b3eb","resolution":{"observed_at":"2026-08-06T18:18:09.732676Z","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":"2026-08-06T18:18:09.502251Z","title":"Vehicle re- identification in context","venue":null,"work_id":"015b1229-da4b-46b7-bca4-2992cacc1ae7","year":2018},"citing_paper":{"arxiv_id":"2507.08729","last_updated":"2025-07-21T11:26:42Z","snapshot_observed_at":"2026-08-08T12:29:49.496472Z","submitted_at":"2025-07-11T16:30:27Z","title":"RoundaboutHD: High-Resolution Real-World Urban Environment Benchmark for Multi-Camera Vehicle Tracking","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-06T18:18:03.033025Z"},"links":{"citing_paper":"/paper/2507.08729"},"observation_digest":"sha256:993ce99ff155658a6feec18fcd733077fcf40f8b04e5481bd5b0fbb75f1bb15f","observation_id":"f5301500-f19c-470b-ad36-5e18e3012b8e","resolution":{"observed_at":"2026-08-06T18:18:09.581369Z","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":"2410.17725","last_updated":"2024-10-23T09:55:22Z","snapshot_observed_at":"2026-07-06T19:38:22.461739Z","submitted_at":"2024-10-23T09:55:22Z","title":"YOLOv11: An Overview of the Key Architectural Enhancements","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.17725","snapshot_observed_at":"2026-08-06T18:18:03.123314Z","title":"Yolov11: An overview of the key architectural enhancements","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.08729","last_updated":"2025-07-21T11:26:42Z","snapshot_observed_at":"2026-08-08T12:29:49.496472Z","submitted_at":"2025-07-11T16:30:27Z","title":"RoundaboutHD: High-Resolution Real-World Urban Environment Benchmark for Multi-Camera Vehicle Tracking","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-06T18:18:03.123314Z"},"links":{"cited_paper":"/paper/2410.17725","citing_paper":"/paper/2507.08729"},"observation_digest":"sha256:6dcc8d3c69da454f7e5151e22a1aa8355b5f3d75e7fe7d75fb383a2c9961a9a4","observation_id":"114d62e3-8e21-47f9-bf99-b964eda10059","resolution":{"observed_at":"2026-08-06T18:18:03.123314Z","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":"2026-08-06T18:18:09.320510Z","title":"Microsoft coco: Common objects in context","venue":null,"work_id":"20c91309-8ed3-45af-9b84-6aa81b3f718d","year":2014},"citing_paper":{"arxiv_id":"2507.08729","last_updated":"2025-07-21T11:26:42Z","snapshot_observed_at":"2026-08-08T12:29:49.496472Z","submitted_at":"2025-07-11T16:30:27Z","title":"RoundaboutHD: High-Resolution Real-World Urban Environment Benchmark for Multi-Camera Vehicle Tracking","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-06T18:18:03.243571Z"},"links":{"citing_paper":"/paper/2507.08729"},"observation_digest":"sha256:8e52c7f649bfde8b22a31a11b7e06c7c47a8785aff9603b41915d08ae1c74036","observation_id":"4e8a8ee1-c470-4251-9ccb-ce6de4c2d55a","resolution":{"observed_at":"2026-08-06T18:18:09.407804Z","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":"2026-08-06T18:18:09.152692Z","title":"City-scale multi-camera vehicle tracking guided by cross- road zones","venue":null,"work_id":"e2230dd8-411c-4fdf-85d5-f1ea4574e52f","year":2021},"citing_paper":{"arxiv_id":"2507.08729","last_updated":"2025-07-21T11:26:42Z","snapshot_observed_at":"2026-08-08T12:29:49.496472Z","submitted_at":"2025-07-11T16:30:27Z","title":"RoundaboutHD: High-Resolution Real-World Urban Environment Benchmark for Multi-Camera Vehicle Tracking","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-06T18:18:03.340291Z"},"links":{"citing_paper":"/paper/2507.08729"},"observation_digest":"sha256:680dd9f2c9eaf4099942ce26c9a6cdf19c68cf448d3c1b70736b3f6fc79018e3","observation_id":"456fc00a-34ab-40fa-bbfe-a5abe3b94726","resolution":{"observed_at":"2026-08-06T18:18:09.252306Z","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":"2026-08-06T18:18:09.006528Z","title":"Deep relative distance learning: Tell the difference between similar vehicles","venue":null,"work_id":"664930da-74f7-4a3d-9cd7-d3820eba679a","year":2016},"citing_paper":{"arxiv_id":"2507.08729","last_updated":"2025-07-21T11:26:42Z","snapshot_observed_at":"2026-08-08T12:29:49.496472Z","submitted_at":"2025-07-11T16:30:27Z","title":"RoundaboutHD: High-Resolution Real-World Urban Environment Benchmark for Multi-Camera Vehicle Tracking","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-06T18:18:03.422075Z"},"links":{"citing_paper":"/paper/2507.08729"},"observation_digest":"sha256:12429dee7ed1f4b6529dc4a87119075bb2e6cf2a3effc84a25f6ee7633a94d96","observation_id":"dee8bb39-4c76-4ae8-a78d-f240442fe6d1","resolution":{"observed_at":"2026-08-06T18:18:09.077739Z","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":"2026-08-06T18:18:08.841340Z","title":"Large- scale vehicle re-identification in urban surveillance videos","venue":null,"work_id":"9d400ac9-e1dd-4c97-ae68-a8e0155ea4d5","year":2016},"citing_paper":{"arxiv_id":"2507.08729","last_updated":"2025-07-21T11:26:42Z","snapshot_observed_at":"2026-08-08T12:29:49.496472Z","submitted_at":"2025-07-11T16:30:27Z","title":"RoundaboutHD: High-Resolution Real-World Urban Environment Benchmark for Multi-Camera Vehicle Tracking","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-06T18:18:03.509577Z"},"links":{"citing_paper":"/paper/2507.08729"},"observation_digest":"sha256:5931cab8cb9f8594b84cf9300adfe2f272c519a7ccdefdd0ce4ff5d8100a683c","observation_id":"859b947e-9739-49cf-9811-cf0b1b7eab60","resolution":{"observed_at":"2026-08-06T18:18:08.925869Z","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":"2026-08-06T18:18:08.639422Z","title":"A deep learning-based approach to progressive vehicle re- identification for urban surveillance","venue":null,"work_id":"31a9a2d5-ff31-4d1d-b1b0-1814377036f3","year":2016},"citing_paper":{"arxiv_id":"2507.08729","last_updated":"2025-07-21T11:26:42Z","snapshot_observed_at":"2026-08-08T12:29:49.496472Z","submitted_at":"2025-07-11T16:30:27Z","title":"RoundaboutHD: High-Resolution Real-World Urban Environment Benchmark for Multi-Camera Vehicle Tracking","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-06T18:18:03.610792Z"},"links":{"citing_paper":"/paper/2507.08729"},"observation_digest":"sha256:6da1edcb6c6493626f791bd12b700a4f980a525a3a87f8ceb04f5d755d1752cd","observation_id":"719f47cc-6526-40ff-9f75-bfd6ab952945","resolution":{"observed_at":"2026-08-06T18:18:08.747470Z","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":"2026-08-06T18:18:08.496782Z","title":"Veri-wild: A large dataset and a new method for vehicle re-identification in the wild","venue":null,"work_id":"8de924c8-d001-4fe5-b6f5-77b78c0cf6ec","year":2019},"citing_paper":{"arxiv_id":"2507.08729","last_updated":"2025-07-21T11:26:42Z","snapshot_observed_at":"2026-08-08T12:29:49.496472Z","submitted_at":"2025-07-11T16:30:27Z","title":"RoundaboutHD: High-Resolution Real-World Urban Environment Benchmark for Multi-Camera Vehicle Tracking","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-06T18:18:03.680066Z"},"links":{"citing_paper":"/paper/2507.08729"},"observation_digest":"sha256:6efe059bfafae819220b7e48037c9a74d7422f504dca389add1b8b8ff332f91c","observation_id":"8511a10b-a82d-42f3-95e4-fd76435f2ffb","resolution":{"observed_at":"2026-08-06T18:18:08.568278Z","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":"2026-08-06T18:18:08.338313Z","title":"Bag of tricks and a strong baseline for deep person re-identification","venue":null,"work_id":"4f8d2fa3-bc50-443e-9993-2b0a849a1c65","year":2019},"citing_paper":{"arxiv_id":"2507.08729","last_updated":"2025-07-21T11:26:42Z","snapshot_observed_at":"2026-08-08T12:29:49.496472Z","submitted_at":"2025-07-11T16:30:27Z","title":"RoundaboutHD: High-Resolution Real-World Urban Environment Benchmark for Multi-Camera Vehicle Tracking","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-06T18:18:03.791630Z"},"links":{"citing_paper":"/paper/2507.08729"},"observation_digest":"sha256:6e0b1e9c6991a6cf1cab41684832690feb9a0ab0bc70202e2eb6e65beeaa8084","observation_id":"c2cb3bf8-01b2-4f51-9a7c-c40a2daa0eaf","resolution":{"observed_at":"2026-08-06T18:18:08.402406Z","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":"2026-08-06T18:18:08.158788Z","title":"Deep oc-sort: Multi-pedestrian tracking by adaptive re-identification","venue":null,"work_id":"39e177e4-e7a3-4dd3-a76e-9851f5e99e55","year":2023},"citing_paper":{"arxiv_id":"2507.08729","last_updated":"2025-07-21T11:26:42Z","snapshot_observed_at":"2026-08-08T12:29:49.496472Z","submitted_at":"2025-07-11T16:30:27Z","title":"RoundaboutHD: High-Resolution Real-World Urban Environment Benchmark for Multi-Camera Vehicle Tracking","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-06T18:18:03.947143Z"},"links":{"citing_paper":"/paper/2507.08729"},"observation_digest":"sha256:cd433d5a54d7e485bd67e069efc593cadbf6322e81185b06a3e02333210a60bd","observation_id":"d3a7bb50-23cb-449b-ad14-e0998b728726","resolution":{"observed_at":"2026-08-06T18:18:08.242808Z","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":"2026-08-06T18:18:08.006354Z","title":"Anastasiu, Zheng Tang, Ming-Ching Chang, Xiaodong Yang, Yue Yao, Liang 9 Zheng, Pranamesh Chakraborty, Christian E","venue":null,"work_id":"4b13a04c-5f44-45a8-a04b-927b772aa063","year":2021},"citing_paper":{"arxiv_id":"2507.08729","last_updated":"2025-07-21T11:26:42Z","snapshot_observed_at":"2026-08-08T12:29:49.496472Z","submitted_at":"2025-07-11T16:30:27Z","title":"RoundaboutHD: High-Resolution Real-World Urban Environment Benchmark for Multi-Camera Vehicle Tracking","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-06T18:18:04.104275Z"},"links":{"citing_paper":"/paper/2507.08729"},"observation_digest":"sha256:bd97afda30b6c7a341802a0573af9cdda5f941bf14bcd75e17c033382f56c3b4","observation_id":"633fb5f7-b6a7-4e4f-bdb3-64d4f1db4763","resolution":{"observed_at":"2026-08-06T18:18:08.087444Z","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":"2026-08-06T18:18:07.848608Z","title":"Electricity: An efficient multi-camera vehicle track- ing system for intelligent city","venue":null,"work_id":"75b61db2-ae2b-46bd-9e62-73dcdd56bb0a","year":2020},"citing_paper":{"arxiv_id":"2507.08729","last_updated":"2025-07-21T11:26:42Z","snapshot_observed_at":"2026-08-08T12:29:49.496472Z","submitted_at":"2025-07-11T16:30:27Z","title":"RoundaboutHD: High-Resolution Real-World Urban Environment Benchmark for Multi-Camera Vehicle Tracking","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-06T18:18:04.218999Z"},"links":{"citing_paper":"/paper/2507.08729"},"observation_digest":"sha256:98c79fe7c8003ed928b893b2d012452da0bf9f54169f3b579a16adafe91130b5","observation_id":"b6f20dd1-7c49-4a1a-98dc-97e9e5ce896f","resolution":{"observed_at":"2026-08-06T18:18:07.917730Z","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":"2026-08-06T18:18:07.666777Z","title":"Performance measures and a data set for multi-target, multi-camera tracking","venue":null,"work_id":"e04ba4d3-804c-46c5-b8da-4f4f3b1251ac","year":2016},"citing_paper":{"arxiv_id":"2507.08729","last_updated":"2025-07-21T11:26:42Z","snapshot_observed_at":"2026-08-08T12:29:49.496472Z","submitted_at":"2025-07-11T16:30:27Z","title":"RoundaboutHD: High-Resolution Real-World Urban Environment Benchmark for Multi-Camera Vehicle Tracking","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-06T18:18:04.350982Z"},"links":{"citing_paper":"/paper/2507.08729"},"observation_digest":"sha256:5e62047a379834e48bdb5e65f3a0f95190235719c51d4715496c15da4b2f9e8c","observation_id":"4b18523e-7edf-41bb-a86f-81fb380a7f82","resolution":{"observed_at":"2026-08-06T18:18:07.779451Z","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":"2026-08-06T18:18:07.449013Z","title":"Performance measures and a data set for multi-target, multi-camera tracking","venue":null,"work_id":"35697eee-9488-4ede-b0dc-f7d4f2d88ad6","year":2016},"citing_paper":{"arxiv_id":"2507.08729","last_updated":"2025-07-21T11:26:42Z","snapshot_observed_at":"2026-08-08T12:29:49.496472Z","submitted_at":"2025-07-11T16:30:27Z","title":"RoundaboutHD: High-Resolution Real-World Urban Environment Benchmark for Multi-Camera Vehicle Tracking","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-06T18:18:04.458953Z"},"links":{"citing_paper":"/paper/2507.08729"},"observation_digest":"sha256:0092318c1435cca50d656aaaba66b5cffb6bac1ef4212794627868d46a154170","observation_id":"017db24c-fe60-4fac-9539-b8835a1c3220","resolution":{"observed_at":"2026-08-06T18:18:07.585272Z","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":"2026-08-06T18:18:07.165051Z","title":"Boost- track: boosting the similarity measure and detection confi- dence for improved multiple object tracking.Machine Vision and Applications, 35(3):53, 2024","venue":null,"work_id":"32852831-5f94-4f3c-aa20-c0393762a098","year":2024},"citing_paper":{"arxiv_id":"2507.08729","last_updated":"2025-07-21T11:26:42Z","snapshot_observed_at":"2026-08-08T12:29:49.496472Z","submitted_at":"2025-07-11T16:30:27Z","title":"RoundaboutHD: High-Resolution Real-World Urban Environment Benchmark for Multi-Camera Vehicle Tracking","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-06T18:18:04.561363Z"},"links":{"citing_paper":"/paper/2507.08729"},"observation_digest":"sha256:70c4442f1f9d0a2dc452aabf74b5726c682e6f1a6a155d374e9c6853d84aae43","observation_id":"e3213d45-018d-4eeb-a22c-da0fbd3b3344","resolution":{"observed_at":"2026-08-06T18:18:07.320505Z","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":"2026-08-06T18:18:06.951315Z","title":"Cityflow: A city-scale benchmark for multi-target multi-camera vehicle tracking and re-identification","venue":null,"work_id":"27ca9eb6-1080-48b9-9a00-76eda23c4a47","year":2019},"citing_paper":{"arxiv_id":"2507.08729","last_updated":"2025-07-21T11:26:42Z","snapshot_observed_at":"2026-08-08T12:29:49.496472Z","submitted_at":"2025-07-11T16:30:27Z","title":"RoundaboutHD: High-Resolution Real-World Urban Environment Benchmark for Multi-Camera Vehicle Tracking","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-06T18:18:04.670517Z"},"links":{"citing_paper":"/paper/2507.08729"},"observation_digest":"sha256:2217e31ba15c9d9c39fa331878686e40fad14322796cc7b3ec5ea6006ae5d4b9","observation_id":"68421a46-3615-42b3-9b98-6af09d955bf7","resolution":{"observed_at":"2026-08-06T18:18:07.060206Z","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":"2502.12524","last_updated":"2025-02-18T04:20:14Z","snapshot_observed_at":"2026-07-06T20:38:20.545914Z","submitted_at":"2025-02-18T04:20:14Z","title":"YOLOv12: Attention-Centric Real-Time Object Detectors","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.12524","snapshot_observed_at":"2026-08-06T18:18:04.752935Z","title":"Yolov12: Attention-centric real-time object detectors","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2507.08729","last_updated":"2025-07-21T11:26:42Z","snapshot_observed_at":"2026-08-08T12:29:49.496472Z","submitted_at":"2025-07-11T16:30:27Z","title":"RoundaboutHD: High-Resolution Real-World Urban Environment Benchmark for Multi-Camera Vehicle Tracking","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-06T18:18:04.752935Z"},"links":{"cited_paper":"/paper/2502.12524","citing_paper":"/paper/2507.08729"},"observation_digest":"sha256:324e49105cefd6969c2ad7b11b348000139a2c2c7b55562ebba617566bae8951","observation_id":"e9f39b75-ed46-46a7-b8f9-970e689b88bc","resolution":{"observed_at":"2026-08-06T18:18:04.752935Z","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":"2026-08-06T18:18:06.728211Z","title":"Smiletrack: Simi- larity learning for occlusion-aware multiple object tracking","venue":null,"work_id":"155c503d-491e-4e73-ab0a-23ca47977137","year":2024},"citing_paper":{"arxiv_id":"2507.08729","last_updated":"2025-07-21T11:26:42Z","snapshot_observed_at":"2026-08-08T12:29:49.496472Z","submitted_at":"2025-07-11T16:30:27Z","title":"RoundaboutHD: High-Resolution Real-World Urban Environment Benchmark for Multi-Camera Vehicle Tracking","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-06T18:18:04.823164Z"},"links":{"citing_paper":"/paper/2507.08729"},"observation_digest":"sha256:1cbb57116abed62dad04d0926ef5e555b14e5956b3d9cab1d0a5f403bb909d5a","observation_id":"4b0550b4-b1ae-4f51-82e7-b2a3d541a8b3","resolution":{"observed_at":"2026-08-06T18:18:06.814654Z","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":"2026-08-06T18:18:06.523468Z","title":"Ua-detrac: A new benchmark and protocol for multi-object detection and tracking","venue":null,"work_id":"3ed5003f-d1e7-4339-ac7b-29456d8d7d03","year":2020},"citing_paper":{"arxiv_id":"2507.08729","last_updated":"2025-07-21T11:26:42Z","snapshot_observed_at":"2026-08-08T12:29:49.496472Z","submitted_at":"2025-07-11T16:30:27Z","title":"RoundaboutHD: High-Resolution Real-World Urban Environment Benchmark for Multi-Camera Vehicle Tracking","version":2},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-06T18:18:04.905232Z"},"links":{"citing_paper":"/paper/2507.08729"},"observation_digest":"sha256:8ceb1af9c95ff2bf362669e61fecc19004caab3bb3b9f5c678efd4f3aa806551","observation_id":"91cd5a2d-f149-4463-84dc-a820e3b6446f","resolution":{"observed_at":"2026-08-06T18:18:06.644681Z","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":"2026-08-06T18:18:06.290515Z","title":"Traffic-informed multi-camera sensing (tims) system based on vehicle re-identification","venue":null,"work_id":"3354e223-3cc3-4e7a-a002-03a3ff0d597f","year":2022},"citing_paper":{"arxiv_id":"2507.08729","last_updated":"2025-07-21T11:26:42Z","snapshot_observed_at":"2026-08-08T12:29:49.496472Z","submitted_at":"2025-07-11T16:30:27Z","title":"RoundaboutHD: High-Resolution Real-World Urban Environment Benchmark for Multi-Camera Vehicle Tracking","version":2},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-06T18:18:04.976205Z"},"links":{"citing_paper":"/paper/2507.08729"},"observation_digest":"sha256:1b955090e9c2ded5f6e0a9b7b7f47071ef8bc46e64f976278b1150e508f2cb45","observation_id":"36dccbd1-34bd-44cf-94aa-99ec88901484","resolution":{"observed_at":"2026-08-06T18:18:06.371205Z","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":"2026-08-06T18:18:06.136657Z","title":"Box-grained reranking matching for multi-camera multi-target tracking","venue":null,"work_id":"4959d0e4-3c2c-48bb-afb8-efdaf93c001b","year":2022},"citing_paper":{"arxiv_id":"2507.08729","last_updated":"2025-07-21T11:26:42Z","snapshot_observed_at":"2026-08-08T12:29:49.496472Z","submitted_at":"2025-07-11T16:30:27Z","title":"RoundaboutHD: High-Resolution Real-World Urban Environment Benchmark for Multi-Camera Vehicle Tracking","version":2},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-06T18:18:05.098343Z"},"links":{"citing_paper":"/paper/2507.08729"},"observation_digest":"sha256:fd34cd5ce1c5e46a5b55d29da6338db53ad995281f4d48c568a179f5ab367d97","observation_id":"64f115c4-f6f9-49f6-a42c-9b7346b52302","resolution":{"observed_at":"2026-08-06T18:18:06.203349Z","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":"2401.06960","last_updated":"2024-10-22T07:17:47Z","snapshot_observed_at":"2026-08-05T08:02:48.239139Z","submitted_at":"2024-01-13T03:17:57Z","title":"Transformer for Object Re-Identification: A Survey","version":2},"cited_work":{"arxiv_id":"2401.06960","doi":null,"metadata_source":"pith","pith_arxiv_id":"2401.06960","snapshot_observed_at":"2026-08-06T18:18:05.567752Z","title":"Transformer for Object Re-Identification: A Survey","venue":"cs.CV","work_id":"a1839f5e-9e95-4786-a992-22465483735b","year":2024},"citing_paper":{"arxiv_id":"2507.08729","last_updated":"2025-07-21T11:26:42Z","snapshot_observed_at":"2026-08-08T12:29:49.496472Z","submitted_at":"2025-07-11T16:30:27Z","title":"RoundaboutHD: High-Resolution Real-World Urban Environment Benchmark for Multi-Camera Vehicle Tracking","version":2},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-06T18:18:05.172511Z"},"links":{"cited_paper":"/paper/2401.06960","citing_paper":"/paper/2507.08729"},"observation_digest":"sha256:39a93ce7653a632dcf4690a5c0f60410aff7a8f81d508e4637941c6b7fc4ca32","observation_id":"eb9cdeeb-19d4-4a3f-9d6c-439a7170165a","resolution":{"observed_at":"2026-08-06T18:18:05.628281Z","resolver_source":"local_arxiv","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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:18:05.936370Z","title":"Video-based multi-camera vehicle tracking via appearance-parsing spatio-temporal trajectory matching net- work","venue":null,"work_id":"245eff52-acc5-493f-b840-b9cd405f8af3","year":2024},"citing_paper":{"arxiv_id":"2507.08729","last_updated":"2025-07-21T11:26:42Z","snapshot_observed_at":"2026-08-08T12:29:49.496472Z","submitted_at":"2025-07-11T16:30:27Z","title":"RoundaboutHD: High-Resolution Real-World Urban Environment Benchmark for Multi-Camera Vehicle Tracking","version":2},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-06T18:18:05.235500Z"},"links":{"citing_paper":"/paper/2507.08729"},"observation_digest":"sha256:fed3444aae8a88854a44ceba78f7fa65fb9ea1d0b6e10f83d81cde3e4daa7563","observation_id":"4807eea9-ba74-4279-8c77-649a86f67d8e","resolution":{"observed_at":"2026-08-06T18:18:06.050682Z","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":"2026-08-06T18:18:05.344306Z","title":"Bytetrack: Multi-object tracking by associating every detection box","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.08729","last_updated":"2025-07-21T11:26:42Z","snapshot_observed_at":"2026-08-08T12:29:49.496472Z","submitted_at":"2025-07-11T16:30:27Z","title":"RoundaboutHD: High-Resolution Real-World Urban Environment Benchmark for Multi-Camera Vehicle Tracking","version":2},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-06T18:18:05.344306Z"},"links":{"citing_paper":"/paper/2507.08729"},"observation_digest":"sha256:4efe673fb858a67472056954c5940fc4409cff845bb127425f57eb28eccbc508","observation_id":"9bd0425b-f475-427f-a3e9-fdc54515a6c2","resolution":{"observed_at":"2026-08-06T18:18:05.344306Z","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":"2026-08-06T18:18:05.773179Z","title":"Scalable person re-identification: A benchmark","venue":null,"work_id":"0829e6b1-6c76-4f2d-99bc-98736dfe4cb9","year":2015},"citing_paper":{"arxiv_id":"2507.08729","last_updated":"2025-07-21T11:26:42Z","snapshot_observed_at":"2026-08-08T12:29:49.496472Z","submitted_at":"2025-07-11T16:30:27Z","title":"RoundaboutHD: High-Resolution Real-World Urban Environment Benchmark for Multi-Camera Vehicle Tracking","version":2},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-06T18:18:05.439802Z"},"links":{"citing_paper":"/paper/2507.08729"},"observation_digest":"sha256:4e88d2b61d52298d9dfc5de73351950858861afd3d4bf8976d5e5e0025d22a39","observation_id":"99ba1e41-2529-47ad-a632-5fb85ff0851d","resolution":{"observed_at":"2026-08-06T18:18:05.839786Z","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":"2507.08729","last_updated":"2025-07-21T11:26:42Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-08T12:29:49.496472Z","submitted_at":"2025-07-11T16:30:27Z","title":"RoundaboutHD: High-Resolution Real-World Urban Environment Benchmark for Multi-Camera Vehicle Tracking"},"reference_resolution":{"displayed":40,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":11,"verified_exact":1,"verified_fuzzy":28},"total_outbound_references":40},"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 8 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 1 inbound Pith citation observation for arXiv:2507.08729."}