{"as_of":"2026-08-15T23:17:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:54ffd861feb1b150762eb7cc0216af7e4d984be47238e9fe4bc3031c559afc44","coverage":[{"denominator":30,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":30,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-15T15:43:15.740995Z","state":"measured"},{"denominator":31,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":31,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-15T06:32:42.880941+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":"2026-08-11T14:42:30.200817Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-08-11T18:16:15.004306Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2510.24410","last_updated":"2026-06-18T10:43:05Z","snapshot_observed_at":"2026-08-15T15:39:10.741867Z","submitted_at":"2025-10-28T13:22:24Z","title":"GenTrack2: An Improved Hybrid Approach for Multi-Object Tracking","version":4},"cited_work":{"arxiv_id":"2510.24410","doi":"10.48550/arxiv.2510.24410","metadata_source":"pith","pith_arxiv_id":"2510.24410","snapshot_observed_at":"2026-08-11T18:16:15.004306Z","title":"GenTrack2: An Improved Hybrid Approach for Multi-Object Tracking","venue":"cs.CV","work_id":"7e437091-0f19-4758-8f9f-f9354eca2179","year":2025},"citing_paper":{"arxiv_id":"2608.09581","last_updated":"2026-08-10T13:16:17Z","snapshot_observed_at":"2026-08-14T12:56:57.618057Z","submitted_at":"2026-08-10T13:16:17Z","title":"GenTrack3: Hybrid Stochastic-Deterministic Online Multi-Object Tracking with Cluster-Aware Association","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-11T14:42:30.200817Z"},"links":{"cited_paper":"/paper/2510.24410","citing_paper":"/paper/2608.09581"},"observation_digest":"sha256:f06c009c337f97d022b1ea168337b1857acbc489b195807577f9215cc3ebfc99","observation_id":"b00bac24-f6a9-44fd-8c7d-06bd6320c85f","resolution":{"observed_at":"2026-08-11T14:42:30.282492Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2510.24410/citation-record","integrity":"/paper/2510.24410/integrity","json":"/paper/2510.24410/citation-record.json","paper":"/paper/2510.24410"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T15:43:16.278486Z","title":"Simple online and realtime tracking,","venue":null,"work_id":"88a89b00-00e5-482f-add3-97da72f21716","year":2016},"citing_paper":{"arxiv_id":"2510.24410","last_updated":"2026-06-18T10:43:05Z","snapshot_observed_at":"2026-08-15T15:39:10.741867Z","submitted_at":"2025-10-28T13:22:24Z","title":"GenTrack2: An Improved Hybrid Approach for Multi-Object Tracking","version":4},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-15T15:43:15.586545Z"},"links":{"citing_paper":"/paper/2510.24410"},"observation_digest":"sha256:229af5ed6babd920300f7837e93ea145f0ec3a111e762f756edd0a90b81ae287","observation_id":"36eb2270-987b-4e34-ac38-b975986b331f","resolution":{"observed_at":"2026-08-15T15:43:16.283646Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-15T15:43:16.261618Z","title":"Simple online and realtime tracking with a deep association metric,","venue":null,"work_id":"0c919548-7ac8-4cb5-8874-779e66d6eb9c","year":2017},"citing_paper":{"arxiv_id":"2510.24410","last_updated":"2026-06-18T10:43:05Z","snapshot_observed_at":"2026-08-15T15:39:10.741867Z","submitted_at":"2025-10-28T13:22:24Z","title":"GenTrack2: An Improved Hybrid Approach for Multi-Object Tracking","version":4},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-15T15:43:15.592247Z"},"links":{"citing_paper":"/paper/2510.24410"},"observation_digest":"sha256:f1adaf5e8a5c0e6f0d4ab512c85993568aa7a678e31ec53d4e480e71dd302378","observation_id":"91b37318-6a8b-428c-9829-96460228785e","resolution":{"observed_at":"2026-08-15T15:43:16.266996Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-15T15:43:16.245216Z","title":"ByteTrack: Multi-object tracking by as- sociating every detection box,","venue":null,"work_id":"c275ab22-7cd5-417c-a1cd-7e2b33704f14","year":2022},"citing_paper":{"arxiv_id":"2510.24410","last_updated":"2026-06-18T10:43:05Z","snapshot_observed_at":"2026-08-15T15:39:10.741867Z","submitted_at":"2025-10-28T13:22:24Z","title":"GenTrack2: An Improved Hybrid Approach for Multi-Object Tracking","version":4},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-15T15:43:15.597152Z"},"links":{"citing_paper":"/paper/2510.24410"},"observation_digest":"sha256:f318ab564d10c89c5e8e24bdb875448bfc2a77d408b95b0253aa6faab6470a14","observation_id":"329fdaf7-8d1a-4b2a-9716-a52d09d0030c","resolution":{"observed_at":"2026-08-15T15:43:16.250479Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2206.14651","last_updated":"2022-07-07T15:36:49Z","snapshot_observed_at":"2026-08-13T15:14:12.197118Z","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":"2026-08-15T15:43:15.602029Z","title":"BoT- SORT: Robust associations multi-pedestrian tracking,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2510.24410","last_updated":"2026-06-18T10:43:05Z","snapshot_observed_at":"2026-08-15T15:39:10.741867Z","submitted_at":"2025-10-28T13:22:24Z","title":"GenTrack2: An Improved Hybrid Approach for Multi-Object Tracking","version":4},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-15T15:43:15.602029Z"},"links":{"cited_paper":"/paper/2206.14651","citing_paper":"/paper/2510.24410"},"observation_digest":"sha256:ac209915970f322653e1f356cd6045a5c9517eddc8e4b464fdbcf0b76cd87143","observation_id":"9ef59c56-ecd1-4ebb-a122-76cf1b3b33a1","resolution":{"observed_at":"2026-08-15T15:43:15.602029Z","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":"2026-08-15T15:43:16.229225Z","title":"Observation-Centric SORT: Rethinking SORT for robust multi-object tracking,","venue":null,"work_id":"2922b5dc-7dc6-4757-8507-b23fa1040622","year":2023},"citing_paper":{"arxiv_id":"2510.24410","last_updated":"2026-06-18T10:43:05Z","snapshot_observed_at":"2026-08-15T15:39:10.741867Z","submitted_at":"2025-10-28T13:22:24Z","title":"GenTrack2: An Improved Hybrid Approach for Multi-Object Tracking","version":4},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-15T15:43:15.607611Z"},"links":{"citing_paper":"/paper/2510.24410"},"observation_digest":"sha256:6308bf5de6d0fce5f371f1420cdab85d28012e03e1bedb3256fb64a75e47b1fd","observation_id":"4bfef26b-66cf-4a42-811a-0bb6d78d1e19","resolution":{"observed_at":"2026-08-15T15:43:16.234251Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-15T15:43:16.212707Z","title":"SMILEtrack: Similarity learning for occlusion-aware multiple object tracking,","venue":null,"work_id":"8d9af904-98a8-465a-bf87-df02ee55f439","year":2024},"citing_paper":{"arxiv_id":"2510.24410","last_updated":"2026-06-18T10:43:05Z","snapshot_observed_at":"2026-08-15T15:39:10.741867Z","submitted_at":"2025-10-28T13:22:24Z","title":"GenTrack2: An Improved Hybrid Approach for Multi-Object Tracking","version":4},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-15T15:43:15.612750Z"},"links":{"citing_paper":"/paper/2510.24410"},"observation_digest":"sha256:e54eeeb8d1ffff786ed8aeb69258790390df6f0aacaaebf575823be6e26a71d3","observation_id":"68e5feea-7ee6-41f0-a8a7-44c4e4f96f80","resolution":{"observed_at":"2026-08-15T15:43:16.218493Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-15T15:43:16.196088Z","title":"ConfTrack: Kalman filter-based multi- person tracking by utilizing confidence score of detection box,","venue":null,"work_id":"7fccd709-dca9-49e0-bd57-aaf80b30367b","year":2024},"citing_paper":{"arxiv_id":"2510.24410","last_updated":"2026-06-18T10:43:05Z","snapshot_observed_at":"2026-08-15T15:39:10.741867Z","submitted_at":"2025-10-28T13:22:24Z","title":"GenTrack2: An Improved Hybrid Approach for Multi-Object Tracking","version":4},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-15T15:43:15.618457Z"},"links":{"citing_paper":"/paper/2510.24410"},"observation_digest":"sha256:0560479f3a6a62c703e309aa6c2133af475f9d88ad6ba86de11febe73bf1db98","observation_id":"b910a7ed-9e41-44a0-ae28-f069bbd4ed33","resolution":{"observed_at":"2026-08-15T15:43:16.201427Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-15T15:43:16.180126Z","title":"Distributed Markov Chain Monte Carlo kernel based particle filtering for object tracking,","venue":null,"work_id":"e790917c-12e4-4572-9dea-1f4e44889165","year":2012},"citing_paper":{"arxiv_id":"2510.24410","last_updated":"2026-06-18T10:43:05Z","snapshot_observed_at":"2026-08-15T15:39:10.741867Z","submitted_at":"2025-10-28T13:22:24Z","title":"GenTrack2: An Improved Hybrid Approach for Multi-Object Tracking","version":4},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-15T15:43:15.623591Z"},"links":{"citing_paper":"/paper/2510.24410"},"observation_digest":"sha256:3597850b63134e768e437292d239277b696636f839f3aa785c539f148dc9fd3d","observation_id":"ecd3a937-5e05-4d0f-9845-9f95800d75c6","resolution":{"observed_at":"2026-08-15T15:43:16.185209Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-15T15:43:16.163560Z","title":"Particle filter with occlusion handling for visual tracking,","venue":null,"work_id":"996b9081-218c-4248-a753-a9cb42f1d47c","year":2015},"citing_paper":{"arxiv_id":"2510.24410","last_updated":"2026-06-18T10:43:05Z","snapshot_observed_at":"2026-08-15T15:39:10.741867Z","submitted_at":"2025-10-28T13:22:24Z","title":"GenTrack2: An Improved Hybrid Approach for Multi-Object Tracking","version":4},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-15T15:43:15.628837Z"},"links":{"citing_paper":"/paper/2510.24410"},"observation_digest":"sha256:d5828aadc9d7700c7b189862aedc75156ea952714631781fa3b22da92cb43f5e","observation_id":"ab9c0c14-1369-4c89-b48b-745738c22772","resolution":{"observed_at":"2026-08-15T15:43:16.168864Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-15T15:43:16.145362Z","title":"Object-tracking based on par- ticle filter using particle swarm optimization with density estimation,","venue":null,"work_id":"7783b4a6-5b72-48b2-bb47-8fa4c0e795d8","year":2016},"citing_paper":{"arxiv_id":"2510.24410","last_updated":"2026-06-18T10:43:05Z","snapshot_observed_at":"2026-08-15T15:39:10.741867Z","submitted_at":"2025-10-28T13:22:24Z","title":"GenTrack2: An Improved Hybrid Approach for Multi-Object Tracking","version":4},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-15T15:43:15.634217Z"},"links":{"citing_paper":"/paper/2510.24410"},"observation_digest":"sha256:aefcec121664d81a2f3138b537ac431443efa7d6096ed6326b80887d303992d4","observation_id":"5f552416-e5a8-409d-9e4f-fbdb250c7d65","resolution":{"observed_at":"2026-08-15T15:43:16.152461Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-15T15:43:16.128500Z","title":"Multi-task correlation particle filter for robust object tracking,","venue":null,"work_id":"b5fcb39d-4f9c-42f3-83e2-63c0fdfbc6e3","year":2017},"citing_paper":{"arxiv_id":"2510.24410","last_updated":"2026-06-18T10:43:05Z","snapshot_observed_at":"2026-08-15T15:39:10.741867Z","submitted_at":"2025-10-28T13:22:24Z","title":"GenTrack2: An Improved Hybrid Approach for Multi-Object Tracking","version":4},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-15T15:43:15.639601Z"},"links":{"citing_paper":"/paper/2510.24410"},"observation_digest":"sha256:24c966ac194c1ff2ba5c9ef0eb34c8db17eb1185a92fb774c92cd91f609d5fb9","observation_id":"6fc7e1af-32d4-49e0-a256-2d9347b3e872","resolution":{"observed_at":"2026-08-15T15:43:16.133854Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-15T15:43:16.111141Z","title":"Chaotic particle filter for visual object tracking,","venue":null,"work_id":"7d4a8598-ba98-446c-9634-64be8ac92209","year":2018},"citing_paper":{"arxiv_id":"2510.24410","last_updated":"2026-06-18T10:43:05Z","snapshot_observed_at":"2026-08-15T15:39:10.741867Z","submitted_at":"2025-10-28T13:22:24Z","title":"GenTrack2: An Improved Hybrid Approach for Multi-Object Tracking","version":4},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-15T15:43:15.644966Z"},"links":{"citing_paper":"/paper/2510.24410"},"observation_digest":"sha256:6baec889bc41e96994c5de07bc1353238b83f5bbbf4b1b86139e4e8ee9dbb6f8","observation_id":"123c854f-8b81-49b2-ab29-b61fe1f49fd6","resolution":{"observed_at":"2026-08-15T15:43:16.116485Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-15T15:43:16.093626Z","title":"Robust object tracking with crow search optimized multi-cue particle filter,","venue":null,"work_id":"88ab6e31-8cf7-4f85-aded-d1d94d3f6df9","year":2020},"citing_paper":{"arxiv_id":"2510.24410","last_updated":"2026-06-18T10:43:05Z","snapshot_observed_at":"2026-08-15T15:39:10.741867Z","submitted_at":"2025-10-28T13:22:24Z","title":"GenTrack2: An Improved Hybrid Approach for Multi-Object Tracking","version":4},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-15T15:43:15.650816Z"},"links":{"citing_paper":"/paper/2510.24410"},"observation_digest":"sha256:5a095a501822622111878dca78f762aebe09ad0cfbd398434408e280d529f349","observation_id":"84d4f32c-2d95-4eb4-b457-8039f55b8e09","resolution":{"observed_at":"2026-08-15T15:43:16.099201Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-15T15:43:16.075432Z","title":"Particle filter-based video object tracking using feature fusion in template partitions,","venue":null,"work_id":"8eab3572-f0fd-49ce-9232-f62ef5407c5e","year":2023},"citing_paper":{"arxiv_id":"2510.24410","last_updated":"2026-06-18T10:43:05Z","snapshot_observed_at":"2026-08-15T15:39:10.741867Z","submitted_at":"2025-10-28T13:22:24Z","title":"GenTrack2: An Improved Hybrid Approach for Multi-Object Tracking","version":4},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-15T15:43:15.657583Z"},"links":{"citing_paper":"/paper/2510.24410"},"observation_digest":"sha256:891a1f0a0d572a7dc57ce4d8f92f115039756ae59fd352548682f12d8e75317a","observation_id":"d7428244-854e-4432-b9d2-4213cd2afc57","resolution":{"observed_at":"2026-08-15T15:43:16.081056Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-15T15:43:16.055437Z","title":"A scale adaptive gen- erative target tracking method based on modified particle filter,","venue":null,"work_id":"3021116b-042d-4caa-bd0f-cca27e33895f","year":2023},"citing_paper":{"arxiv_id":"2510.24410","last_updated":"2026-06-18T10:43:05Z","snapshot_observed_at":"2026-08-15T15:39:10.741867Z","submitted_at":"2025-10-28T13:22:24Z","title":"GenTrack2: An Improved Hybrid Approach for Multi-Object Tracking","version":4},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-15T15:43:15.663515Z"},"links":{"citing_paper":"/paper/2510.24410"},"observation_digest":"sha256:86e9dc171bfc6bcead501451fdcfbbd26060b70b686e66fbbe655da0587cad6e","observation_id":"27132ecd-9657-492b-a763-339c09f31f36","resolution":{"observed_at":"2026-08-15T15:43:16.061505Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-15T15:43:16.034223Z","title":"Minimax Monte Carlo object tracking,","venue":null,"work_id":"a16faaaa-c884-4206-a932-535ae893d676","year":2023},"citing_paper":{"arxiv_id":"2510.24410","last_updated":"2026-06-18T10:43:05Z","snapshot_observed_at":"2026-08-15T15:39:10.741867Z","submitted_at":"2025-10-28T13:22:24Z","title":"GenTrack2: An Improved Hybrid Approach for Multi-Object Tracking","version":4},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-15T15:43:15.669192Z"},"links":{"citing_paper":"/paper/2510.24410"},"observation_digest":"sha256:a01a1c0b29684e810fb57d363bb881ee1d489b924388c1f013df425248e90aa2","observation_id":"2d8d3b8d-8269-4b14-a215-d2a9fde1ee67","resolution":{"observed_at":"2026-08-15T15:43:16.042377Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-15T15:43:16.016456Z","title":"Fast multiple object tracking via a hierarchical particle filter,","venue":null,"work_id":"cae26922-0b58-450c-acf8-02ad4333fdcc","year":2005},"citing_paper":{"arxiv_id":"2510.24410","last_updated":"2026-06-18T10:43:05Z","snapshot_observed_at":"2026-08-15T15:39:10.741867Z","submitted_at":"2025-10-28T13:22:24Z","title":"GenTrack2: An Improved Hybrid Approach for Multi-Object Tracking","version":4},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-15T15:43:15.674231Z"},"links":{"citing_paper":"/paper/2510.24410"},"observation_digest":"sha256:e4d3435fb16e2e90314b2281562cba38939f70c7595df6ded6623bb2ea12558a","observation_id":"04be3a16-5621-4a9b-bf21-5f1c7cab50b6","resolution":{"observed_at":"2026-08-15T15:43:16.021912Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-15T15:43:15.998649Z","title":"Single and multiple object tracking using log-Euclidean Riemannian subspace and block-division appearance model,","venue":null,"work_id":"d3d6f749-2a54-49cd-b8b6-9a0611fb8f32","year":2012},"citing_paper":{"arxiv_id":"2510.24410","last_updated":"2026-06-18T10:43:05Z","snapshot_observed_at":"2026-08-15T15:39:10.741867Z","submitted_at":"2025-10-28T13:22:24Z","title":"GenTrack2: An Improved Hybrid Approach for Multi-Object Tracking","version":4},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-15T15:43:15.679095Z"},"links":{"citing_paper":"/paper/2510.24410"},"observation_digest":"sha256:ce81839c46705941633b6bc7796b05ef14d60101a1b8286615c6a7dab5e9d6fb","observation_id":"30119974-5854-4081-9a83-bdfc8167b6cc","resolution":{"observed_at":"2026-08-15T15:43:16.004422Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-15T15:43:15.982001Z","title":"Variational particle filter for multi-object tracking,","venue":null,"work_id":"fe2f2ff5-4281-42e0-b294-ff9da61758e3","year":2007},"citing_paper":{"arxiv_id":"2510.24410","last_updated":"2026-06-18T10:43:05Z","snapshot_observed_at":"2026-08-15T15:39:10.741867Z","submitted_at":"2025-10-28T13:22:24Z","title":"GenTrack2: An Improved Hybrid Approach for Multi-Object Tracking","version":4},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-15T15:43:15.684089Z"},"links":{"citing_paper":"/paper/2510.24410"},"observation_digest":"sha256:7a3a9a7bac200a4dc82a17a7d3d5d2d0337310617ab5c61b187d0786a55f7219","observation_id":"e42d9640-a52e-4cfc-bd6c-0148f2d4634f","resolution":{"observed_at":"2026-08-15T15:43:15.987254Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-15T15:43:15.965383Z","title":"Discriminatively trained particle filters for complex multi-object tracking,","venue":null,"work_id":"1af09cdd-2ec5-404a-9a23-d79d477aad88","year":2009},"citing_paper":{"arxiv_id":"2510.24410","last_updated":"2026-06-18T10:43:05Z","snapshot_observed_at":"2026-08-15T15:39:10.741867Z","submitted_at":"2025-10-28T13:22:24Z","title":"GenTrack2: An Improved Hybrid Approach for Multi-Object Tracking","version":4},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-15T15:43:15.689225Z"},"links":{"citing_paper":"/paper/2510.24410"},"observation_digest":"sha256:a7e479c42877b8ec733b30ef4253121e1810b31654fbb7d168a1667da8a4a0dc","observation_id":"89467cb9-dff3-493e-9a10-45fd5a6bedd3","resolution":{"observed_at":"2026-08-15T15:43:15.970577Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-15T15:43:15.949184Z","title":"BraMBLe: A Bayesian multiple-blob tracker,","venue":null,"work_id":"de74f37e-c6c6-45cd-9c94-8a83ae18cf45","year":2001},"citing_paper":{"arxiv_id":"2510.24410","last_updated":"2026-06-18T10:43:05Z","snapshot_observed_at":"2026-08-15T15:39:10.741867Z","submitted_at":"2025-10-28T13:22:24Z","title":"GenTrack2: An Improved Hybrid Approach for Multi-Object Tracking","version":4},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-15T15:43:15.694557Z"},"links":{"citing_paper":"/paper/2510.24410"},"observation_digest":"sha256:ae6137aaef3da4a6516a349a20cc6a47781a736b657a69e8f4883e4a8794541d","observation_id":"1cc67916-6de0-498f-84f9-335fe244941e","resolution":{"observed_at":"2026-08-15T15:43:15.954260Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-15T15:43:15.932658Z","title":"MCMC-based particle filter for tracking a variable number of interacting targets,","venue":null,"work_id":"a6a174ae-7238-4c8d-84b5-1a921fdbed3c","year":2005},"citing_paper":{"arxiv_id":"2510.24410","last_updated":"2026-06-18T10:43:05Z","snapshot_observed_at":"2026-08-15T15:39:10.741867Z","submitted_at":"2025-10-28T13:22:24Z","title":"GenTrack2: An Improved Hybrid Approach for Multi-Object Tracking","version":4},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-15T15:43:15.699322Z"},"links":{"citing_paper":"/paper/2510.24410"},"observation_digest":"sha256:4ec47ae0f093f6394adbd9d6d9675f92d55dc629221424c7c62117bfe72e057b","observation_id":"4f8a4246-82f3-4c34-a079-f762a8772950","resolution":{"observed_at":"2026-08-15T15:43:15.938227Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-15T15:43:15.916690Z","title":"Robust tracking-by-detection using a detector confidence particle filter,","venue":null,"work_id":"63314a76-7646-4bef-9f52-e6fb7e63b00a","year":2009},"citing_paper":{"arxiv_id":"2510.24410","last_updated":"2026-06-18T10:43:05Z","snapshot_observed_at":"2026-08-15T15:39:10.741867Z","submitted_at":"2025-10-28T13:22:24Z","title":"GenTrack2: An Improved Hybrid Approach for Multi-Object Tracking","version":4},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-15T15:43:15.704471Z"},"links":{"citing_paper":"/paper/2510.24410"},"observation_digest":"sha256:454207c0827fc05cbff271ea27bce8165b0b98fc69ee0e7c6827b352e2be177e","observation_id":"d3c97e62-f403-41ea-aa50-556b72ef136f","resolution":{"observed_at":"2026-08-15T15:43:15.921756Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-15T15:43:15.900168Z","title":"Detection driven adaptive multi-cue inte- gration for multiple human tracking,","venue":null,"work_id":"5f1f9bbf-f232-4f38-844e-9baa5546ac8f","year":2009},"citing_paper":{"arxiv_id":"2510.24410","last_updated":"2026-06-18T10:43:05Z","snapshot_observed_at":"2026-08-15T15:39:10.741867Z","submitted_at":"2025-10-28T13:22:24Z","title":"GenTrack2: An Improved Hybrid Approach for Multi-Object Tracking","version":4},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-15T15:43:15.710539Z"},"links":{"citing_paper":"/paper/2510.24410"},"observation_digest":"sha256:121fa434c87548f204f0ad1dd9fdab533e29bf212a45bf21522ca46464637491","observation_id":"603d9073-a72e-4a81-9c3f-29e07415750c","resolution":{"observed_at":"2026-08-15T15:43:15.905535Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-15T15:43:15.882421Z","title":"A boosted particle filter: multitarget detection and tracking,","venue":null,"work_id":"e0b62af6-9ced-4ea5-ba9d-7d779c243c38","year":2024},"citing_paper":{"arxiv_id":"2510.24410","last_updated":"2026-06-18T10:43:05Z","snapshot_observed_at":"2026-08-15T15:39:10.741867Z","submitted_at":"2025-10-28T13:22:24Z","title":"GenTrack2: An Improved Hybrid Approach for Multi-Object Tracking","version":4},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-15T15:43:15.715523Z"},"links":{"citing_paper":"/paper/2510.24410"},"observation_digest":"sha256:16b46a5c990d29af3aab5814fc7d0f13cfe44a21c87c7a73030b888042fc0dbd","observation_id":"25269b28-148a-47f6-83a9-e11f78f4980d","resolution":{"observed_at":"2026-08-15T15:43:15.888402Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-15T15:43:15.864081Z","title":"Particle swarm optimiza- tion,","venue":null,"work_id":"62a5a8f8-25a8-4c08-836b-6720099ae68a","year":1995},"citing_paper":{"arxiv_id":"2510.24410","last_updated":"2026-06-18T10:43:05Z","snapshot_observed_at":"2026-08-15T15:39:10.741867Z","submitted_at":"2025-10-28T13:22:24Z","title":"GenTrack2: An Improved Hybrid Approach for Multi-Object Tracking","version":4},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-15T15:43:15.721156Z"},"links":{"citing_paper":"/paper/2510.24410"},"observation_digest":"sha256:e54eddcb99b049e84261fd4b1f6270ba659c207d6f2a8250c5d92cb79b90aee1","observation_id":"f5ffc574-e123-4d94-9668-e0923dee5d82","resolution":{"observed_at":"2026-08-15T15:43:15.869606Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-15T15:43:15.846864Z","title":"The Hungarian method for the assignment problem,","venue":null,"work_id":"929e6f48-3dfc-4af9-a175-c9fc339981d5","year":1955},"citing_paper":{"arxiv_id":"2510.24410","last_updated":"2026-06-18T10:43:05Z","snapshot_observed_at":"2026-08-15T15:39:10.741867Z","submitted_at":"2025-10-28T13:22:24Z","title":"GenTrack2: An Improved Hybrid Approach for Multi-Object Tracking","version":4},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-15T15:43:15.726407Z"},"links":{"citing_paper":"/paper/2510.24410"},"observation_digest":"sha256:0c9890b2da9958c49113826e39e9d6f91066fa5b489ee5bf7c47955e1dafbc74","observation_id":"69743fb8-e451-4f54-9e36-04b4f3bdda0a","resolution":{"observed_at":"2026-08-15T15:43:15.852367Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-15T15:43:15.829222Z","title":"MOTChallenge: A benchmark for single-camera multiple target tracking,","venue":null,"work_id":"f99d0d77-f5e0-498b-b22c-3fece5d28844","year":2021},"citing_paper":{"arxiv_id":"2510.24410","last_updated":"2026-06-18T10:43:05Z","snapshot_observed_at":"2026-08-15T15:39:10.741867Z","submitted_at":"2025-10-28T13:22:24Z","title":"GenTrack2: An Improved Hybrid Approach for Multi-Object Tracking","version":4},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-15T15:43:15.731367Z"},"links":{"citing_paper":"/paper/2510.24410"},"observation_digest":"sha256:cf89e1eb7f5a07cdaf5ffa5908987ec6fae559e50085bf45a7302300720bc4af","observation_id":"dc488445-684b-4163-b163-97c13c127e55","resolution":{"observed_at":"2026-08-15T15:43:15.834878Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-15T15:43:15.811616Z","title":"Performance evaluation of object de- tection and tracking in video,","venue":null,"work_id":"18e656f6-2be7-4926-a799-824b1e5274fe","year":2006},"citing_paper":{"arxiv_id":"2510.24410","last_updated":"2026-06-18T10:43:05Z","snapshot_observed_at":"2026-08-15T15:39:10.741867Z","submitted_at":"2025-10-28T13:22:24Z","title":"GenTrack2: An Improved Hybrid Approach for Multi-Object Tracking","version":4},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-15T15:43:15.736184Z"},"links":{"citing_paper":"/paper/2510.24410"},"observation_digest":"sha256:36fd4e1ac4882e608a904336a75dd13c071f3c8d42554864d7436860638ee30e","observation_id":"c0d51291-e32c-48bd-af75-0c4c4c56531f","resolution":{"observed_at":"2026-08-15T15:43:15.816500Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-15T15:43:15.792793Z","title":"HOTA: A higher order metric for evaluat- ing multi-object tracking,","venue":null,"work_id":"577324ff-b91b-4670-a716-020c68e64c32","year":2021},"citing_paper":{"arxiv_id":"2510.24410","last_updated":"2026-06-18T10:43:05Z","snapshot_observed_at":"2026-08-15T15:39:10.741867Z","submitted_at":"2025-10-28T13:22:24Z","title":"GenTrack2: An Improved Hybrid Approach for Multi-Object Tracking","version":4},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-15T15:43:15.740995Z"},"links":{"citing_paper":"/paper/2510.24410"},"observation_digest":"sha256:e3ada266f7e7bd7ce956c76f60867b0df9114276d3a8739933294242b0109363","observation_id":"55c26717-bade-4873-9bce-449fe4f08a6e","resolution":{"observed_at":"2026-08-15T15:43:15.799755Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2510.24410","last_updated":"2026-06-18T10:43:05Z","latest_version":4,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-15T15:39:10.741867Z","submitted_at":"2025-10-28T13:22:24Z","title":"GenTrack2: An Improved Hybrid Approach for Multi-Object Tracking"},"reference_resolution":{"displayed":30,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":1,"verified_exact":0,"verified_fuzzy":29},"total_outbound_references":30},"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":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"thesis":"As of 15 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 1 inbound Pith citation observation for arXiv:2510.24410."}