{"as_of":"2026-08-08T22:52:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:2d48027656afd853dc2210a2eb7e3c1a97231a1be7f65e8bce5270a86c8016af","coverage":[{"denominator":56,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":56,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-02T07:09:23.330117Z","state":"measured"},{"denominator":56,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":56,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2607.10949/citation-record","integrity":"/paper/2607.10949/integrity","json":"/paper/2607.10949/citation-record.json","paper":"/paper/2607.10949"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T07:09:17.358870Z","title":"Vehicle count- ing using computer vision: A survey,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.10949","last_updated":"2026-07-15T13:41:54Z","snapshot_observed_at":"2026-08-07T11:17:23.016285Z","submitted_at":"2026-07-12T22:38:57Z","title":"Unsupervised Detection of Entry and Exit Regions from Vehicle Trajectories for Camera-Agnostic Turning Movement Counts","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-02T07:09:17.358870Z"},"links":{"citing_paper":"/paper/2607.10949"},"observation_digest":"sha256:0eafd01cd3d5a1bd8019210238906a0c6d7efc914859b93042add7f5da1fd472","observation_id":"3eac0a41-2e0d-4751-80a0-d69ab6ddd520","resolution":{"observed_at":"2026-08-02T07:09:17.358870Z","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":"2026-08-02T07:09:17.443486Z","title":"2012 national traffic signal report card: Technical report,","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2607.10949","last_updated":"2026-07-15T13:41:54Z","snapshot_observed_at":"2026-08-07T11:17:23.016285Z","submitted_at":"2026-07-12T22:38:57Z","title":"Unsupervised Detection of Entry and Exit Regions from Vehicle Trajectories for Camera-Agnostic Turning Movement Counts","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-02T07:09:17.443486Z"},"links":{"citing_paper":"/paper/2607.10949"},"observation_digest":"sha256:1df9da78e0ba8461b3911b55008f52d229e0f12db2298e3abb38b34eafce4708","observation_id":"277e98b9-c90f-4996-9f2c-ae1174369866","resolution":{"observed_at":"2026-08-02T07:09:17.443486Z","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":"2026-08-02T07:09:17.517092Z","title":"Outcome-oriented performance measures for management of signalized arterial capacity,","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2607.10949","last_updated":"2026-07-15T13:41:54Z","snapshot_observed_at":"2026-08-07T11:17:23.016285Z","submitted_at":"2026-07-12T22:38:57Z","title":"Unsupervised Detection of Entry and Exit Regions from Vehicle Trajectories for Camera-Agnostic Turning Movement Counts","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-02T07:09:17.517092Z"},"links":{"citing_paper":"/paper/2607.10949"},"observation_digest":"sha256:6f8a6861f631e22acc82995a9f429abc92b187cd6a72e1b1208e375c997e4081","observation_id":"939f3b4c-ff67-4a86-a4e7-37a79ac86515","resolution":{"observed_at":"2026-08-02T07:09:17.517092Z","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":"2026-08-02T07:09:17.624648Z","title":"Honeywell installs 7000 AI video cameras as a part of Bengaluru’s safe city project,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.10949","last_updated":"2026-07-15T13:41:54Z","snapshot_observed_at":"2026-08-07T11:17:23.016285Z","submitted_at":"2026-07-12T22:38:57Z","title":"Unsupervised Detection of Entry and Exit Regions from Vehicle Trajectories for Camera-Agnostic Turning Movement Counts","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-02T07:09:17.624648Z"},"links":{"citing_paper":"/paper/2607.10949"},"observation_digest":"sha256:16965c896f1a749216f2424cac289221d62fac17c1f534934c7bbf0dd6298ba7","observation_id":"2597363e-03c8-42e4-9ab7-766d5cbfd52c","resolution":{"observed_at":"2026-08-02T07:09:17.624648Z","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":"2026-08-02T07:09:17.732611Z","title":"New in the New Year — Safe City Project: 10,000 AI cameras with distress detection technology to watch over Delhi soon,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.10949","last_updated":"2026-07-15T13:41:54Z","snapshot_observed_at":"2026-08-07T11:17:23.016285Z","submitted_at":"2026-07-12T22:38:57Z","title":"Unsupervised Detection of Entry and Exit Regions from Vehicle Trajectories for Camera-Agnostic Turning Movement Counts","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-02T07:09:17.732611Z"},"links":{"citing_paper":"/paper/2607.10949"},"observation_digest":"sha256:163ce65c411be10ec77aa1330ccadb873737bc0cf650badb280d1ba1929ebe5b","observation_id":"61cd658a-93c7-4ab0-984f-ed7dc02f6bc8","resolution":{"observed_at":"2026-08-02T07:09:17.732611Z","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":"2026-08-02T07:09:17.858141Z","title":"Identifying vehicle turning movements at intersections from trajectory data,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.10949","last_updated":"2026-07-15T13:41:54Z","snapshot_observed_at":"2026-08-07T11:17:23.016285Z","submitted_at":"2026-07-12T22:38:57Z","title":"Unsupervised Detection of Entry and Exit Regions from Vehicle Trajectories for Camera-Agnostic Turning Movement Counts","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-02T07:09:17.858141Z"},"links":{"citing_paper":"/paper/2607.10949"},"observation_digest":"sha256:0a4de8191e6e4615478f35bfae76de74ce0e590bfb10e8b7a5bac8b01ad21ce1","observation_id":"be9e0088-237b-4afa-a46b-459bdaa94f91","resolution":{"observed_at":"2026-08-02T07:09:17.858141Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1905.05055","last_updated":"2023-01-18T14:23:50Z","snapshot_observed_at":"2026-07-06T07:52:38.425724Z","submitted_at":"2019-05-13T14:26:50Z","title":"Object Detection in 20 Years: A Survey","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1905.05055","snapshot_observed_at":"2026-08-02T07:09:17.975662Z","title":"Object detection in 20 years: A survey,","venue":null,"work_id":null,"year":1905},"citing_paper":{"arxiv_id":"2607.10949","last_updated":"2026-07-15T13:41:54Z","snapshot_observed_at":"2026-08-07T11:17:23.016285Z","submitted_at":"2026-07-12T22:38:57Z","title":"Unsupervised Detection of Entry and Exit Regions from Vehicle Trajectories for Camera-Agnostic Turning Movement Counts","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-02T07:09:17.975662Z"},"links":{"cited_paper":"/paper/1905.05055","citing_paper":"/paper/2607.10949"},"observation_digest":"sha256:7088b92077983b18ef772903eee5285da66ba652c54e1b9d82464434c69510c7","observation_id":"9f44f6b2-1c8d-4a24-af2a-cd2994ab2563","resolution":{"observed_at":"2026-08-02T07:09:17.975662Z","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":"2026-08-02T07:09:18.082693Z","title":"Object tracking: A survey,","venue":null,"work_id":null,"year":2006},"citing_paper":{"arxiv_id":"2607.10949","last_updated":"2026-07-15T13:41:54Z","snapshot_observed_at":"2026-08-07T11:17:23.016285Z","submitted_at":"2026-07-12T22:38:57Z","title":"Unsupervised Detection of Entry and Exit Regions from Vehicle Trajectories for Camera-Agnostic Turning Movement Counts","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-02T07:09:18.082693Z"},"links":{"citing_paper":"/paper/2607.10949"},"observation_digest":"sha256:41a48a2d22f654f2ea496e0ee48fb31f3a65ed8a87431940c86716524b7f966f","observation_id":"86e2c331-3479-4fa0-9f7f-1b00d4da3e88","resolution":{"observed_at":"2026-08-02T07:09:18.082693Z","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":"2026-08-02T07:09:18.087241Z","title":"Vision-based turning movement monitoring: Count, speed & waiting time estimation,","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2607.10949","last_updated":"2026-07-15T13:41:54Z","snapshot_observed_at":"2026-08-07T11:17:23.016285Z","submitted_at":"2026-07-12T22:38:57Z","title":"Unsupervised Detection of Entry and Exit Regions from Vehicle Trajectories for Camera-Agnostic Turning Movement Counts","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-02T07:09:18.087241Z"},"links":{"citing_paper":"/paper/2607.10949"},"observation_digest":"sha256:13279a9d03a3e92ea987adbad9505d3bfd51a1a26f07daf8d0d0c564a348f0cc","observation_id":"b9abe2b7-a628-4f51-b6da-1b816a6a9b0d","resolution":{"observed_at":"2026-08-02T07:09:18.087241Z","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":"2026-08-02T07:09:18.158033Z","title":"Fast vehicle turning-movement count- ing using localization-based tracking,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.10949","last_updated":"2026-07-15T13:41:54Z","snapshot_observed_at":"2026-08-07T11:17:23.016285Z","submitted_at":"2026-07-12T22:38:57Z","title":"Unsupervised Detection of Entry and Exit Regions from Vehicle Trajectories for Camera-Agnostic Turning Movement Counts","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-02T07:09:18.158033Z"},"links":{"citing_paper":"/paper/2607.10949"},"observation_digest":"sha256:f48fe7780e542076b047b8d06b4193651fdbe6a1060ef194e9efaa6c44d1842b","observation_id":"f6d17ac2-cbfd-4ca4-ad46-4db0730f0fb3","resolution":{"observed_at":"2026-08-02T07:09:18.158033Z","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":"2026-08-02T07:09:18.249355Z","title":"Ground plane projection for improved traffic analytics at intersections,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.10949","last_updated":"2026-07-15T13:41:54Z","snapshot_observed_at":"2026-08-07T11:17:23.016285Z","submitted_at":"2026-07-12T22:38:57Z","title":"Unsupervised Detection of Entry and Exit Regions from Vehicle Trajectories for Camera-Agnostic Turning Movement Counts","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-02T07:09:18.249355Z"},"links":{"citing_paper":"/paper/2607.10949"},"observation_digest":"sha256:f899e13f15f6dfeac641f7501354b9ffb756d7ed2003be556de56c623bdd8c9a","observation_id":"c753e03d-fe7d-44cb-81d6-6a0794984b6b","resolution":{"observed_at":"2026-08-02T07:09:18.249355Z","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":"2026-08-02T07:09:18.467671Z","title":"Characterization of image distortions in multi- camera systems,","venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2607.10949","last_updated":"2026-07-15T13:41:54Z","snapshot_observed_at":"2026-08-07T11:17:23.016285Z","submitted_at":"2026-07-12T22:38:57Z","title":"Unsupervised Detection of Entry and Exit Regions from Vehicle Trajectories for Camera-Agnostic Turning Movement Counts","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-02T07:09:18.467671Z"},"links":{"citing_paper":"/paper/2607.10949"},"observation_digest":"sha256:246e6a86838126f40eb1c7f32aa41d9450be139899ed0c1e8df6457b2d452660","observation_id":"7318ad21-bd0b-4341-a83e-0c1b41356e9f","resolution":{"observed_at":"2026-08-02T07:09:18.467671Z","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":"2026-08-02T07:09:18.596376Z","title":"Traffic data collection under mixed traffic conditions using video image processing,","venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2607.10949","last_updated":"2026-07-15T13:41:54Z","snapshot_observed_at":"2026-08-07T11:17:23.016285Z","submitted_at":"2026-07-12T22:38:57Z","title":"Unsupervised Detection of Entry and Exit Regions from Vehicle Trajectories for Camera-Agnostic Turning Movement Counts","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-02T07:09:18.596376Z"},"links":{"citing_paper":"/paper/2607.10949"},"observation_digest":"sha256:07a941c5acfeba0c30441563ac74b5e4b02aef8282438a1419a2a470e3a8258d","observation_id":"075690ef-214c-464e-9d07-340516b85ef1","resolution":{"observed_at":"2026-08-02T07:09:18.596376Z","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":"2026-08-02T07:09:18.794262Z","title":"Ua-detrac: A new benchmark and protocol for multi-object detection and tracking,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2607.10949","last_updated":"2026-07-15T13:41:54Z","snapshot_observed_at":"2026-08-07T11:17:23.016285Z","submitted_at":"2026-07-12T22:38:57Z","title":"Unsupervised Detection of Entry and Exit Regions from Vehicle Trajectories for Camera-Agnostic Turning Movement Counts","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-02T07:09:18.794262Z"},"links":{"citing_paper":"/paper/2607.10949"},"observation_digest":"sha256:7d807537ea807e0126e57a7eab9b738ce5dc9c3644cc239921411bb0b7bc899b","observation_id":"1f330b12-92f7-4530-bdc8-96dcf8c5bafe","resolution":{"observed_at":"2026-08-02T07:09:18.794262Z","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":"2026-08-02T07:09:18.925830Z","title":"Automated approach for computer vision-based vehicle movement classification at traffic intersections,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.10949","last_updated":"2026-07-15T13:41:54Z","snapshot_observed_at":"2026-08-07T11:17:23.016285Z","submitted_at":"2026-07-12T22:38:57Z","title":"Unsupervised Detection of Entry and Exit Regions from Vehicle Trajectories for Camera-Agnostic Turning Movement Counts","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-02T07:09:18.925830Z"},"links":{"citing_paper":"/paper/2607.10949"},"observation_digest":"sha256:798f2a6b6a6ca83374e97a41d541865f2fdfc19810184c117e6228eb20e61722","observation_id":"a684a0c3-ca86-4e63-9946-83b7417f2213","resolution":{"observed_at":"2026-08-02T07:09:18.925830Z","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":"2026-08-02T07:09:19.087350Z","title":"Optimized video track- ing for automated vehicle turning movement counts,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2607.10949","last_updated":"2026-07-15T13:41:54Z","snapshot_observed_at":"2026-08-07T11:17:23.016285Z","submitted_at":"2026-07-12T22:38:57Z","title":"Unsupervised Detection of Entry and Exit Regions from Vehicle Trajectories for Camera-Agnostic Turning Movement Counts","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-02T07:09:19.087350Z"},"links":{"citing_paper":"/paper/2607.10949"},"observation_digest":"sha256:725fdd175dfdae7385f1896c7e69ce279f2596d929ec7ac00591fe1a0b043eef","observation_id":"684db419-cbeb-4cf0-9ec0-9b7778bb8ed4","resolution":{"observed_at":"2026-08-02T07:09:19.087350Z","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":"2026-08-02T07:09:19.214394Z","title":"Learning semantic scene models from observing activity in visual surveillance,","venue":null,"work_id":null,"year":2005},"citing_paper":{"arxiv_id":"2607.10949","last_updated":"2026-07-15T13:41:54Z","snapshot_observed_at":"2026-08-07T11:17:23.016285Z","submitted_at":"2026-07-12T22:38:57Z","title":"Unsupervised Detection of Entry and Exit Regions from Vehicle Trajectories for Camera-Agnostic Turning Movement Counts","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-02T07:09:19.214394Z"},"links":{"citing_paper":"/paper/2607.10949"},"observation_digest":"sha256:f1bfb10ff005265b23f6e67c5f9caf30106850b8007b42dc346669a68b8c3324","observation_id":"bd8557dd-172c-4242-a2fe-e777dd1e8de0","resolution":{"observed_at":"2026-08-02T07:09:19.214394Z","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":"2026-08-02T07:09:19.354813Z","title":"Learning semantic scene models by trajectory analysis,","venue":null,"work_id":null,"year":2006},"citing_paper":{"arxiv_id":"2607.10949","last_updated":"2026-07-15T13:41:54Z","snapshot_observed_at":"2026-08-07T11:17:23.016285Z","submitted_at":"2026-07-12T22:38:57Z","title":"Unsupervised Detection of Entry and Exit Regions from Vehicle Trajectories for Camera-Agnostic Turning Movement Counts","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-02T07:09:19.354813Z"},"links":{"citing_paper":"/paper/2607.10949"},"observation_digest":"sha256:a6f5d9065fb5dd6a634e1c5f496b7089496a224c91edb01c5d5df24f3572ce8e","observation_id":"4c9b197b-e0f8-494c-bf59-9909de9a6a55","resolution":{"observed_at":"2026-08-02T07:09:19.354813Z","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":"2026-08-02T07:09:19.448094Z","title":"Trajectory analysis and semantic region modeling using nonparametric hierarchical bayesian models,","venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"2607.10949","last_updated":"2026-07-15T13:41:54Z","snapshot_observed_at":"2026-08-07T11:17:23.016285Z","submitted_at":"2026-07-12T22:38:57Z","title":"Unsupervised Detection of Entry and Exit Regions from Vehicle Trajectories for Camera-Agnostic Turning Movement Counts","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-02T07:09:19.448094Z"},"links":{"citing_paper":"/paper/2607.10949"},"observation_digest":"sha256:187ec3d7d001eb738bff9e02e4467eb184a5ed9c05d5d05ae291b7ecb37ff79b","observation_id":"5ae81662-b3b0-448b-a396-05e724fed2a6","resolution":{"observed_at":"2026-08-02T07:09:19.448094Z","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":"2026-08-02T07:09:19.548075Z","title":"A survey of vision-based trajectory learning and analysis for surveillance,","venue":null,"work_id":null,"year":2008},"citing_paper":{"arxiv_id":"2607.10949","last_updated":"2026-07-15T13:41:54Z","snapshot_observed_at":"2026-08-07T11:17:23.016285Z","submitted_at":"2026-07-12T22:38:57Z","title":"Unsupervised Detection of Entry and Exit Regions from Vehicle Trajectories for Camera-Agnostic Turning Movement Counts","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-02T07:09:19.548075Z"},"links":{"citing_paper":"/paper/2607.10949"},"observation_digest":"sha256:1949032e1cbeab7c3419f07d24b72825a196052012fa394e31ea6df3e83bd32e","observation_id":"8ba21a87-54c5-4e33-8b14-13d25f7021bd","resolution":{"observed_at":"2026-08-02T07:09:19.548075Z","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":"2026-08-02T07:09:19.743311Z","title":"Trajectory learning for activity understanding: Unsupervised, multilevel, and long-term adaptive approach,","venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"2607.10949","last_updated":"2026-07-15T13:41:54Z","snapshot_observed_at":"2026-08-07T11:17:23.016285Z","submitted_at":"2026-07-12T22:38:57Z","title":"Unsupervised Detection of Entry and Exit Regions from Vehicle Trajectories for Camera-Agnostic Turning Movement Counts","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-02T07:09:19.743311Z"},"links":{"citing_paper":"/paper/2607.10949"},"observation_digest":"sha256:255298427c670e273d89f44c885238f5da0a2d50df158654590a4ead176b8fd0","observation_id":"a61d1148-b0e4-4d34-a754-84dd9a46ac69","resolution":{"observed_at":"2026-08-02T07:09:19.743311Z","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":"2026-08-02T07:09:19.874225Z","title":"Looking at intersections: A survey of intersection monitoring, behavior and safety analysis of recent studies,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2607.10949","last_updated":"2026-07-15T13:41:54Z","snapshot_observed_at":"2026-08-07T11:17:23.016285Z","submitted_at":"2026-07-12T22:38:57Z","title":"Unsupervised Detection of Entry and Exit Regions from Vehicle Trajectories for Camera-Agnostic Turning Movement Counts","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-02T07:09:19.874225Z"},"links":{"citing_paper":"/paper/2607.10949"},"observation_digest":"sha256:706e9ce1a1fefb9004e66d99eed099d0d89d8fe8a36e1719f706f8d251c99af1","observation_id":"7f162dc7-d711-43da-9111-0d03948be11e","resolution":{"observed_at":"2026-08-02T07:09:19.874225Z","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":"2026-08-02T07:09:20.036692Z","title":"The 8th AI City Challenge,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.10949","last_updated":"2026-07-15T13:41:54Z","snapshot_observed_at":"2026-08-07T11:17:23.016285Z","submitted_at":"2026-07-12T22:38:57Z","title":"Unsupervised Detection of Entry and Exit Regions from Vehicle Trajectories for Camera-Agnostic Turning Movement Counts","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-02T07:09:20.036692Z"},"links":{"citing_paper":"/paper/2607.10949"},"observation_digest":"sha256:efb6208c78ee5a9fc49ff993ce3a0b84716707bac2eb57be5296a48f810d573a","observation_id":"09f6fec1-d766-441d-867f-832d02e3b179","resolution":{"observed_at":"2026-08-02T07:09:20.036692Z","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":"2026-08-02T07:09:20.203019Z","title":"Enhanced vehicle movement counting at intersections via a self-learning fisheye camera system,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.10949","last_updated":"2026-07-15T13:41:54Z","snapshot_observed_at":"2026-08-07T11:17:23.016285Z","submitted_at":"2026-07-12T22:38:57Z","title":"Unsupervised Detection of Entry and Exit Regions from Vehicle Trajectories for Camera-Agnostic Turning Movement Counts","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-02T07:09:20.203019Z"},"links":{"citing_paper":"/paper/2607.10949"},"observation_digest":"sha256:0c5257ab7acc0cabb8a41b22ab0b1d106df6057048bc5393d3f595bd0b9695cc","observation_id":"661e082a-829e-4ec0-be27-3e58ccba9793","resolution":{"observed_at":"2026-08-02T07:09:20.203019Z","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":"2026-08-02T07:09:20.394096Z","title":"Towards real-time traffic movement count and trajectory reconstruction using virtual traffic lanes,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2607.10949","last_updated":"2026-07-15T13:41:54Z","snapshot_observed_at":"2026-08-07T11:17:23.016285Z","submitted_at":"2026-07-12T22:38:57Z","title":"Unsupervised Detection of Entry and Exit Regions from Vehicle Trajectories for Camera-Agnostic Turning Movement Counts","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-02T07:09:20.394096Z"},"links":{"citing_paper":"/paper/2607.10949"},"observation_digest":"sha256:27f78d68950c0d51cb976d85237ae7687126d40ca2239a15344c9c5efe0597bf","observation_id":"21335f08-5364-47e2-830b-a80a5b00106d","resolution":{"observed_at":"2026-08-02T07:09:20.394096Z","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":"2026-08-02T07:09:20.560089Z","title":"Intelligent highway adap- tive lane learning system in multiple rois of surveillance camera video,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.10949","last_updated":"2026-07-15T13:41:54Z","snapshot_observed_at":"2026-08-07T11:17:23.016285Z","submitted_at":"2026-07-12T22:38:57Z","title":"Unsupervised Detection of Entry and Exit Regions from Vehicle Trajectories for Camera-Agnostic Turning Movement Counts","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-02T07:09:20.560089Z"},"links":{"citing_paper":"/paper/2607.10949"},"observation_digest":"sha256:529865c1360cead87b273886115250107fa94a36732acb4d370ee3a09d5952e7","observation_id":"0d4edfcf-8551-4e82-ac5c-5cac0a22d8e8","resolution":{"observed_at":"2026-08-02T07:09:20.560089Z","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":"2026-08-02T07:09:20.726361Z","title":null,"venue":null,"work_id":null,"year":1967},"citing_paper":{"arxiv_id":"2607.10949","last_updated":"2026-07-15T13:41:54Z","snapshot_observed_at":"2026-08-07T11:17:23.016285Z","submitted_at":"2026-07-12T22:38:57Z","title":"Unsupervised Detection of Entry and Exit Regions from Vehicle Trajectories for Camera-Agnostic Turning Movement Counts","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-02T07:09:20.726361Z"},"links":{"citing_paper":"/paper/2607.10949"},"observation_digest":"sha256:ad61f94af13f95cb71c158a52ec54ca7761fff9815e76db579d3d2ada9a74293","observation_id":"1ccaebda-e28f-4aa7-a067-a603344ce0eb","resolution":{"observed_at":"2026-08-02T07:09:20.726361Z","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":"2026-08-02T07:09:20.834946Z","title":"A density-based algorithm for discovering clusters in large spatial databases with noise,","venue":null,"work_id":null,"year":1996},"citing_paper":{"arxiv_id":"2607.10949","last_updated":"2026-07-15T13:41:54Z","snapshot_observed_at":"2026-08-07T11:17:23.016285Z","submitted_at":"2026-07-12T22:38:57Z","title":"Unsupervised Detection of Entry and Exit Regions from Vehicle Trajectories for Camera-Agnostic Turning Movement Counts","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-02T07:09:20.834946Z"},"links":{"citing_paper":"/paper/2607.10949"},"observation_digest":"sha256:36a2845c4be0377801a081283a22f023cf767ad448b7092bd848d191e8928d1f","observation_id":"f030cdb1-088d-406e-a40b-4ae8756e960b","resolution":{"observed_at":"2026-08-02T07:09:20.834946Z","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":"2026-08-02T07:09:20.900144Z","title":"McLachlan and D","venue":null,"work_id":null,"year":2000},"citing_paper":{"arxiv_id":"2607.10949","last_updated":"2026-07-15T13:41:54Z","snapshot_observed_at":"2026-08-07T11:17:23.016285Z","submitted_at":"2026-07-12T22:38:57Z","title":"Unsupervised Detection of Entry and Exit Regions from Vehicle Trajectories for Camera-Agnostic Turning Movement Counts","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-02T07:09:20.900144Z"},"links":{"citing_paper":"/paper/2607.10949"},"observation_digest":"sha256:8ddd0db369b937c906ae7a00330eb91885977021c004fa4d4b7ad1208808ae1b","observation_id":"4d8bc991-30f9-4f60-942e-f9293c8300c5","resolution":{"observed_at":"2026-08-02T07:09:20.900144Z","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":"2026-08-02T07:09:20.966887Z","title":"Maximum likelihood from incomplete data via the em algorithm,","venue":null,"work_id":null,"year":1977},"citing_paper":{"arxiv_id":"2607.10949","last_updated":"2026-07-15T13:41:54Z","snapshot_observed_at":"2026-08-07T11:17:23.016285Z","submitted_at":"2026-07-12T22:38:57Z","title":"Unsupervised Detection of Entry and Exit Regions from Vehicle Trajectories for Camera-Agnostic Turning Movement Counts","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-02T07:09:20.966887Z"},"links":{"citing_paper":"/paper/2607.10949"},"observation_digest":"sha256:4372d633c57cf58ecd14366c81503a9e00fe36e6bd8602ff9f1ac2c25a6e44f2","observation_id":"920f90de-7cf5-4ba4-91b0-df8101c3502e","resolution":{"observed_at":"2026-08-02T07:09:20.966887Z","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":"2026-08-02T07:09:21.040187Z","title":"The quickhull algorithm for convex hulls,","venue":null,"work_id":null,"year":1996},"citing_paper":{"arxiv_id":"2607.10949","last_updated":"2026-07-15T13:41:54Z","snapshot_observed_at":"2026-08-07T11:17:23.016285Z","submitted_at":"2026-07-12T22:38:57Z","title":"Unsupervised Detection of Entry and Exit Regions from Vehicle Trajectories for Camera-Agnostic Turning Movement Counts","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-02T07:09:21.040187Z"},"links":{"citing_paper":"/paper/2607.10949"},"observation_digest":"sha256:6c59a92bbd5fe0353426e6ed9c5873ecf45ecec8ecd81e17857f7c6118cd775e","observation_id":"04898559-e404-46d8-8c86-72f21ab50e1f","resolution":{"observed_at":"2026-08-02T07:09:21.040187Z","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":"2026-08-02T07:09:21.132713Z","title":"Detrs beat yolos on real-time object detection,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.10949","last_updated":"2026-07-15T13:41:54Z","snapshot_observed_at":"2026-08-07T11:17:23.016285Z","submitted_at":"2026-07-12T22:38:57Z","title":"Unsupervised Detection of Entry and Exit Regions from Vehicle Trajectories for Camera-Agnostic Turning Movement Counts","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-02T07:09:21.132713Z"},"links":{"citing_paper":"/paper/2607.10949"},"observation_digest":"sha256:f33f9b9a18736f13458329781ff2aa9d80a05181a44bbdeac0b01d99dece8bb8","observation_id":"2514b0e8-791f-485c-8220-71648bd2ba60","resolution":{"observed_at":"2026-08-02T07:09:21.132713Z","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":"2026-08-02T07:09:21.213241Z","title":"Idd: A dataset for exploring problems of autonomous navigation in unconstrained environments,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2607.10949","last_updated":"2026-07-15T13:41:54Z","snapshot_observed_at":"2026-08-07T11:17:23.016285Z","submitted_at":"2026-07-12T22:38:57Z","title":"Unsupervised Detection of Entry and Exit Regions from Vehicle Trajectories for Camera-Agnostic Turning Movement Counts","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-02T07:09:21.213241Z"},"links":{"citing_paper":"/paper/2607.10949"},"observation_digest":"sha256:d092d190a88a12bbe34647aad81516a5d7ecfb062e0565fece70dc3224cc2f4f","observation_id":"afaf57de-2a4c-4ab0-9f01-1b95748c69eb","resolution":{"observed_at":"2026-08-02T07:09:21.213241Z","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":"2026-08-02T07:09:21.310076Z","title":"The bengaluru mobility challenge, 2024,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.10949","last_updated":"2026-07-15T13:41:54Z","snapshot_observed_at":"2026-08-07T11:17:23.016285Z","submitted_at":"2026-07-12T22:38:57Z","title":"Unsupervised Detection of Entry and Exit Regions from Vehicle Trajectories for Camera-Agnostic Turning Movement Counts","version":2},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-02T07:09:21.310076Z"},"links":{"citing_paper":"/paper/2607.10949"},"observation_digest":"sha256:4f68996c2ed3a80be8f6b487ae0af0e3842748a207d82a7a9c9d8398d633ba96","observation_id":"88885b5e-a7ae-4173-b612-53a15ce608ac","resolution":{"observed_at":"2026-08-02T07:09:21.310076Z","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":"2026-08-02T07:09:21.394725Z","title":"Bot-sort: Robust associa- tions multi-pedestrian tracking,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.10949","last_updated":"2026-07-15T13:41:54Z","snapshot_observed_at":"2026-08-07T11:17:23.016285Z","submitted_at":"2026-07-12T22:38:57Z","title":"Unsupervised Detection of Entry and Exit Regions from Vehicle Trajectories for Camera-Agnostic Turning Movement Counts","version":2},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-02T07:09:21.394725Z"},"links":{"citing_paper":"/paper/2607.10949"},"observation_digest":"sha256:ca19b1aca57495536eab31c118cf4f19ec44095eca9cdf83fafea058bef64dd4","observation_id":"d8dd2a4e-b621-4dec-a421-5eff2a2c0df7","resolution":{"observed_at":"2026-08-02T07:09:21.394725Z","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":"2026-08-02T07:09:21.531069Z","title":"Finding a","venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"2607.10949","last_updated":"2026-07-15T13:41:54Z","snapshot_observed_at":"2026-08-07T11:17:23.016285Z","submitted_at":"2026-07-12T22:38:57Z","title":"Unsupervised Detection of Entry and Exit Regions from Vehicle Trajectories for Camera-Agnostic Turning Movement Counts","version":2},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-02T07:09:21.531069Z"},"links":{"citing_paper":"/paper/2607.10949"},"observation_digest":"sha256:79d695834b1412d913cc14e779664254e0be6d7ce7616c56e3d6c28db56aad0c","observation_id":"d48fa923-11ce-4e96-b094-e9335e6b9b74","resolution":{"observed_at":"2026-08-02T07:09:21.531069Z","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":"2026-08-02T07:09:21.593285Z","title":"Estimating the dimension of a model,","venue":null,"work_id":null,"year":1978},"citing_paper":{"arxiv_id":"2607.10949","last_updated":"2026-07-15T13:41:54Z","snapshot_observed_at":"2026-08-07T11:17:23.016285Z","submitted_at":"2026-07-12T22:38:57Z","title":"Unsupervised Detection of Entry and Exit Regions from Vehicle Trajectories for Camera-Agnostic Turning Movement Counts","version":2},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-02T07:09:21.593285Z"},"links":{"citing_paper":"/paper/2607.10949"},"observation_digest":"sha256:2f7898edc927ce4592dd172da912dcb7cb8cdd3db8fe5651e511a0805c3ce74f","observation_id":"47e79427-88f1-4155-ab15-33f686d7a803","resolution":{"observed_at":"2026-08-02T07:09:21.593285Z","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":"2026-08-02T07:09:21.728799Z","title":"Image segmentation using deep learning: A survey,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.10949","last_updated":"2026-07-15T13:41:54Z","snapshot_observed_at":"2026-08-07T11:17:23.016285Z","submitted_at":"2026-07-12T22:38:57Z","title":"Unsupervised Detection of Entry and Exit Regions from Vehicle Trajectories for Camera-Agnostic Turning Movement Counts","version":2},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-02T07:09:21.728799Z"},"links":{"citing_paper":"/paper/2607.10949"},"observation_digest":"sha256:367e789287e73f30505efd060eb4366ea54c095478aa66ea7728a6ddb792ecfd","observation_id":"b032a8b5-1abd-4a7b-b763-08fee37f46ec","resolution":{"observed_at":"2026-08-02T07:09:21.728799Z","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":"2026-08-02T07:09:21.861424Z","title":"An anova test for functional data,","venue":null,"work_id":null,"year":2004},"citing_paper":{"arxiv_id":"2607.10949","last_updated":"2026-07-15T13:41:54Z","snapshot_observed_at":"2026-08-07T11:17:23.016285Z","submitted_at":"2026-07-12T22:38:57Z","title":"Unsupervised Detection of Entry and Exit Regions from Vehicle Trajectories for Camera-Agnostic Turning Movement Counts","version":2},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-02T07:09:21.861424Z"},"links":{"citing_paper":"/paper/2607.10949"},"observation_digest":"sha256:347145aad64db9aff89be350a7475aa69d3a21e0c213a47fc63c443585c9053b","observation_id":"da0d1bab-3472-43a8-869a-ef2daea34693","resolution":{"observed_at":"2026-08-02T07:09:21.861424Z","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":"2026-08-02T07:09:22.020230Z","title":"Tukey’s honestly significant difference (hsd) test,","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2607.10949","last_updated":"2026-07-15T13:41:54Z","snapshot_observed_at":"2026-08-07T11:17:23.016285Z","submitted_at":"2026-07-12T22:38:57Z","title":"Unsupervised Detection of Entry and Exit Regions from Vehicle Trajectories for Camera-Agnostic Turning Movement Counts","version":2},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-02T07:09:22.020230Z"},"links":{"citing_paper":"/paper/2607.10949"},"observation_digest":"sha256:49ad48f4e7c95d3db8160c09186e39dc1e38fe43838072e8eb169e164e67b510","observation_id":"9d5889dc-83d5-4071-ab82-7d87cec57596","resolution":{"observed_at":"2026-08-02T07:09:22.020230Z","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":"2026-08-02T07:09:22.113496Z","title":"Problems with using the normal distri- bution – and ways to improve quality and efficiency of data analysis,","venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"2607.10949","last_updated":"2026-07-15T13:41:54Z","snapshot_observed_at":"2026-08-07T11:17:23.016285Z","submitted_at":"2026-07-12T22:38:57Z","title":"Unsupervised Detection of Entry and Exit Regions from Vehicle Trajectories for Camera-Agnostic Turning Movement Counts","version":2},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-02T07:09:22.113496Z"},"links":{"citing_paper":"/paper/2607.10949"},"observation_digest":"sha256:428ab306b7b3b3422f4ffdd71505a41b1cb4f012550f6710eaac5019bf59ba14","observation_id":"a8609607-d943-4f17-a28b-878389d32406","resolution":{"observed_at":"2026-08-02T07:09:22.113496Z","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":"2026-08-02T07:09:22.206615Z","title":"A generalization of the wilcoxon signed- rank test and its applications,","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2607.10949","last_updated":"2026-07-15T13:41:54Z","snapshot_observed_at":"2026-08-07T11:17:23.016285Z","submitted_at":"2026-07-12T22:38:57Z","title":"Unsupervised Detection of Entry and Exit Regions from Vehicle Trajectories for Camera-Agnostic Turning Movement Counts","version":2},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-02T07:09:22.206615Z"},"links":{"citing_paper":"/paper/2607.10949"},"observation_digest":"sha256:a31fc27f206b33fe4dc6631338c586709993a61f936f14a3afa9c86cef958d9d","observation_id":"9a6ea471-2b0a-402f-b944-6feeb0f08861","resolution":{"observed_at":"2026-08-02T07:09:22.206615Z","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":"2026-08-02T07:09:22.315847Z","title":"Overview of friedman’s test and post-hoc analysis,","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2607.10949","last_updated":"2026-07-15T13:41:54Z","snapshot_observed_at":"2026-08-07T11:17:23.016285Z","submitted_at":"2026-07-12T22:38:57Z","title":"Unsupervised Detection of Entry and Exit Regions from Vehicle Trajectories for Camera-Agnostic Turning Movement Counts","version":2},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-02T07:09:22.315847Z"},"links":{"citing_paper":"/paper/2607.10949"},"observation_digest":"sha256:c3ad03e191909a4a0c0a32a3b78e9424ad72795562f5c92896e1e9cdb8505946","observation_id":"f9c00de9-443b-411e-85f7-a703e8f1c0cb","resolution":{"observed_at":"2026-08-02T07:09:22.315847Z","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":"2026-08-02T07:09:22.390276Z","title":"Distribution-free multiple comparisons,","venue":null,"work_id":null,"year":1963},"citing_paper":{"arxiv_id":"2607.10949","last_updated":"2026-07-15T13:41:54Z","snapshot_observed_at":"2026-08-07T11:17:23.016285Z","submitted_at":"2026-07-12T22:38:57Z","title":"Unsupervised Detection of Entry and Exit Regions from Vehicle Trajectories for Camera-Agnostic Turning Movement Counts","version":2},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-02T07:09:22.390276Z"},"links":{"citing_paper":"/paper/2607.10949"},"observation_digest":"sha256:96fd6a27a5b57d506986ff0e3d28bd01ef8fa24a1733a6a7c50c6ca82e2047a2","observation_id":"de81238d-d15d-44de-9120-28af04270218","resolution":{"observed_at":"2026-08-02T07:09:22.390276Z","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":"2026-08-02T07:09:22.468991Z","title":"The geh measure and quality of the highway assignment models,","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2607.10949","last_updated":"2026-07-15T13:41:54Z","snapshot_observed_at":"2026-08-07T11:17:23.016285Z","submitted_at":"2026-07-12T22:38:57Z","title":"Unsupervised Detection of Entry and Exit Regions from Vehicle Trajectories for Camera-Agnostic Turning Movement Counts","version":2},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-02T07:09:22.468991Z"},"links":{"citing_paper":"/paper/2607.10949"},"observation_digest":"sha256:759e95f57081ad950809ed3ce5302314840b7e81e12d8a73d5bf7d6a13445e49","observation_id":"7be4a009-861e-47a4-a245-260ddbcc43d9","resolution":{"observed_at":"2026-08-02T07:09:22.468991Z","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":"2026-08-02T07:09:22.529052Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.10949","last_updated":"2026-07-15T13:41:54Z","snapshot_observed_at":"2026-08-07T11:17:23.016285Z","submitted_at":"2026-07-12T22:38:57Z","title":"Unsupervised Detection of Entry and Exit Regions from Vehicle Trajectories for Camera-Agnostic Turning Movement Counts","version":2},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-02T07:09:22.529052Z"},"links":{"citing_paper":"/paper/2607.10949"},"observation_digest":"sha256:ffa8b77cf1387f3141d1dabdf882dc4df7bfd157dbf114167c4b00fda9b339f7","observation_id":"fed36e17-7920-4e22-b768-8bef57038425","resolution":{"observed_at":"2026-08-02T07:09:22.529052Z","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":"2026-08-02T07:09:22.622218Z","title":"Sim ´eoni, H","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.10949","last_updated":"2026-07-15T13:41:54Z","snapshot_observed_at":"2026-08-07T11:17:23.016285Z","submitted_at":"2026-07-12T22:38:57Z","title":"Unsupervised Detection of Entry and Exit Regions from Vehicle Trajectories for Camera-Agnostic Turning Movement Counts","version":2},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-02T07:09:22.622218Z"},"links":{"citing_paper":"/paper/2607.10949"},"observation_digest":"sha256:10cdc9bce00a5fe96579d774b809576a1bc1b539a2a498b8d044ce20d16d67f2","observation_id":"6cac7d5a-441d-4d5e-9f54-5823d1c7aebc","resolution":{"observed_at":"2026-08-02T07:09:22.622218Z","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":"2026-08-02T07:09:22.713069Z","title":"Visualizing data using t-sne","venue":null,"work_id":null,"year":2008},"citing_paper":{"arxiv_id":"2607.10949","last_updated":"2026-07-15T13:41:54Z","snapshot_observed_at":"2026-08-07T11:17:23.016285Z","submitted_at":"2026-07-12T22:38:57Z","title":"Unsupervised Detection of Entry and Exit Regions from Vehicle Trajectories for Camera-Agnostic Turning Movement Counts","version":2},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-02T07:09:22.713069Z"},"links":{"citing_paper":"/paper/2607.10949"},"observation_digest":"sha256:9a17f0588f793098de1dcc7dd3f1e3efd1e9924dd6bde2cf46f0e6283486bce6","observation_id":"7a79f3eb-2a44-4845-9e1c-b4b9962c7b83","resolution":{"observed_at":"2026-08-02T07:09:22.713069Z","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":"2026-08-02T07:09:22.804380Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.10949","last_updated":"2026-07-15T13:41:54Z","snapshot_observed_at":"2026-08-07T11:17:23.016285Z","submitted_at":"2026-07-12T22:38:57Z","title":"Unsupervised Detection of Entry and Exit Regions from Vehicle Trajectories for Camera-Agnostic Turning Movement Counts","version":2},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-02T07:09:22.804380Z"},"links":{"citing_paper":"/paper/2607.10949"},"observation_digest":"sha256:748e27e07eb110f9362522a82f8c92e36d08ddf95f2029452fd411f096db2f5c","observation_id":"978ecede-1d95-4b3d-ab40-059f22aeec3d","resolution":{"observed_at":"2026-08-02T07:09:22.804380Z","resolver_source":null,"status":"parse_uncertain"},"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":"2026-08-02T07:09:22.889586Z","title":"S1: Three-stage trajectory preprocessing pipeline applied to a representative camera feed (see Step 1 in Fig","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.10949","last_updated":"2026-07-15T13:41:54Z","snapshot_observed_at":"2026-08-07T11:17:23.016285Z","submitted_at":"2026-07-12T22:38:57Z","title":"Unsupervised Detection of Entry and Exit Regions from Vehicle Trajectories for Camera-Agnostic Turning Movement Counts","version":2},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-02T07:09:22.889586Z"},"links":{"citing_paper":"/paper/2607.10949"},"observation_digest":"sha256:b465e9b0c98505ee28bc9add4d9516bc659fa444df634a64e2401374f4ed9d2c","observation_id":"409c8247-d725-4f72-9cd6-0786b1da7f24","resolution":{"observed_at":"2026-08-02T07:09:22.889586Z","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":"2026-08-02T07:09:22.984162Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.10949","last_updated":"2026-07-15T13:41:54Z","snapshot_observed_at":"2026-08-07T11:17:23.016285Z","submitted_at":"2026-07-12T22:38:57Z","title":"Unsupervised Detection of Entry and Exit Regions from Vehicle Trajectories for Camera-Agnostic Turning Movement Counts","version":2},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-02T07:09:22.984162Z"},"links":{"citing_paper":"/paper/2607.10949"},"observation_digest":"sha256:2de317b1f0a85330aa4f41a2b89d3c59f0b78312c66da3f8ff00a624a3be649a","observation_id":"0c62348a-5063-4b9c-8604-6647b9dfb1b2","resolution":{"observed_at":"2026-08-02T07:09:22.984162Z","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":"2026-08-02T07:09:23.071148Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.10949","last_updated":"2026-07-15T13:41:54Z","snapshot_observed_at":"2026-08-07T11:17:23.016285Z","submitted_at":"2026-07-12T22:38:57Z","title":"Unsupervised Detection of Entry and Exit Regions from Vehicle Trajectories for Camera-Agnostic Turning Movement Counts","version":2},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-02T07:09:23.071148Z"},"links":{"citing_paper":"/paper/2607.10949"},"observation_digest":"sha256:430b69876bce429cd42ba5fc2e5d667b80ccc96cb48b6cfbaca276d33e13f886","observation_id":"468ae8b8-c507-42c2-a08b-b9c20a296dab","resolution":{"observed_at":"2026-08-02T07:09:23.071148Z","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":"2026-08-02T07:09:23.141538Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.10949","last_updated":"2026-07-15T13:41:54Z","snapshot_observed_at":"2026-08-07T11:17:23.016285Z","submitted_at":"2026-07-12T22:38:57Z","title":"Unsupervised Detection of Entry and Exit Regions from Vehicle Trajectories for Camera-Agnostic Turning Movement Counts","version":2},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-02T07:09:23.141538Z"},"links":{"citing_paper":"/paper/2607.10949"},"observation_digest":"sha256:e245623ff3ce55a87850b3ced7ff2cc77861be56174df52479edaf4c3110c6be","observation_id":"ec75ebf7-3499-4181-a3d2-79e040ee35f1","resolution":{"observed_at":"2026-08-02T07:09:23.141538Z","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":"2026-08-02T07:09:23.187734Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.10949","last_updated":"2026-07-15T13:41:54Z","snapshot_observed_at":"2026-08-07T11:17:23.016285Z","submitted_at":"2026-07-12T22:38:57Z","title":"Unsupervised Detection of Entry and Exit Regions from Vehicle Trajectories for Camera-Agnostic Turning Movement Counts","version":2},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-02T07:09:23.187734Z"},"links":{"citing_paper":"/paper/2607.10949"},"observation_digest":"sha256:45bbee7765c2fd4d53a2176d925174c28c637ba63ec27d85955309834f647b46","observation_id":"a68917d4-0663-40ff-833e-c89d8097e366","resolution":{"observed_at":"2026-08-02T07:09:23.187734Z","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":"2026-08-02T07:09:23.258050Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.10949","last_updated":"2026-07-15T13:41:54Z","snapshot_observed_at":"2026-08-07T11:17:23.016285Z","submitted_at":"2026-07-12T22:38:57Z","title":"Unsupervised Detection of Entry and Exit Regions from Vehicle Trajectories for Camera-Agnostic Turning Movement Counts","version":2},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-02T07:09:23.258050Z"},"links":{"citing_paper":"/paper/2607.10949"},"observation_digest":"sha256:ee91895b12296d0209dcc643c2a6ea848dd5a247159b84059e7837fecb353a25","observation_id":"e6c7e354-216d-4464-beb9-306478399793","resolution":{"observed_at":"2026-08-02T07:09:23.258050Z","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":"2026-08-02T07:09:23.330117Z","title":"All subsequent steps operate on the2N sselected points, wheresis a small constant (s= 7in the recommended configuration)","venue":null,"work_id":null,"year":1920},"citing_paper":{"arxiv_id":"2607.10949","last_updated":"2026-07-15T13:41:54Z","snapshot_observed_at":"2026-08-07T11:17:23.016285Z","submitted_at":"2026-07-12T22:38:57Z","title":"Unsupervised Detection of Entry and Exit Regions from Vehicle Trajectories for Camera-Agnostic Turning Movement Counts","version":2},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-02T07:09:23.330117Z"},"links":{"citing_paper":"/paper/2607.10949"},"observation_digest":"sha256:8cdaf7b33f20895b84b6ec50189449c00a030741b8468c99e4ea2f0f48c993ca","observation_id":"2a8a5c5f-3d25-446d-98a8-a411ead93a00","resolution":{"observed_at":"2026-08-02T07:09:23.330117Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2607.10949","last_updated":"2026-07-15T13:41:54Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-07T11:17:23.016285Z","submitted_at":"2026-07-12T22:38:57Z","title":"Unsupervised Detection of Entry and Exit Regions from Vehicle Trajectories for Camera-Agnostic Turning Movement Counts"},"reference_resolution":{"displayed":56,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":1,"unresolved":55,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":56},"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 56 of 56 outbound references and 0 inbound Pith citation observations for arXiv:2607.10949."}