{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:335D5VXBI65XMRLZIMOUXQDVTU","short_pith_number":"pith:335D5VXB","schema_version":"1.0","canonical_sha256":"defa3ed6e147bb764579431d4bc0759d29ab4731a059d5f2208e13c69e1ba889","source":{"kind":"arxiv","id":"2607.10949","version":1},"attestation_state":"computed","paper":{"title":"Unsupervised Detection of Entry and Exit Regions from Vehicle Trajectories for Camera-Agnostic Turning Movement Counts","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Parikshit Singh Rathore, Punit Rathore, Vishwajeet Pattanaik","submitted_at":"2026-07-12T22:38:57Z","abstract_excerpt":"Turning movement counts are essential for intersection-level traffic management, yet their collection remains predominantly manual due to the cost of per-camera region annotation. This paper presents an unsupervised pipeline that identifies entry and exit regions directly from raw vehicle trajectories extracted via object detection and multi-object tracking, requiring no manual annotation, camera calibration, or prior knowledge of intersection geometry. Unlike trajectory clustering methods that classify individual trajectories using pairwise similarity and must be re-executed on every new batc"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2607.10949","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-07-12T22:38:57Z","cross_cats_sorted":[],"title_canon_sha256":"4e0cf8138205888914baedfe132956496800bb282b912f8e77d7313bdb80aa1a","abstract_canon_sha256":"784a4ac80a6e3718fc32904dbdec156c9e1f34b4cf7b6aa4673023a74247c6a9"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-14T01:21:49.160247Z","signature_b64":"EOTesdauLP5+XTIl2z00FBjDXQIeYCVMd51IXLiBi7JY6QIjMOjWDkuWyPv7qNOXA86iNwB6pC7kKU8Is1uNDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"defa3ed6e147bb764579431d4bc0759d29ab4731a059d5f2208e13c69e1ba889","last_reissued_at":"2026-07-14T01:21:49.159327Z","signature_status":"signed_v1","first_computed_at":"2026-07-14T01:21:49.159327Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Unsupervised Detection of Entry and Exit Regions from Vehicle Trajectories for Camera-Agnostic Turning Movement Counts","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Parikshit Singh Rathore, Punit Rathore, Vishwajeet Pattanaik","submitted_at":"2026-07-12T22:38:57Z","abstract_excerpt":"Turning movement counts are essential for intersection-level traffic management, yet their collection remains predominantly manual due to the cost of per-camera region annotation. This paper presents an unsupervised pipeline that identifies entry and exit regions directly from raw vehicle trajectories extracted via object detection and multi-object tracking, requiring no manual annotation, camera calibration, or prior knowledge of intersection geometry. Unlike trajectory clustering methods that classify individual trajectories using pairwise similarity and must be re-executed on every new batc"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.10949","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2607.10949/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"2607.10949","created_at":"2026-07-14T01:21:49.159783+00:00"},{"alias_kind":"arxiv_version","alias_value":"2607.10949v1","created_at":"2026-07-14T01:21:49.159783+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.10949","created_at":"2026-07-14T01:21:49.159783+00:00"},{"alias_kind":"pith_short_12","alias_value":"335D5VXBI65X","created_at":"2026-07-14T01:21:49.159783+00:00"},{"alias_kind":"pith_short_16","alias_value":"335D5VXBI65XMRLZ","created_at":"2026-07-14T01:21:49.159783+00:00"},{"alias_kind":"pith_short_8","alias_value":"335D5VXB","created_at":"2026-07-14T01:21:49.159783+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/335D5VXBI65XMRLZIMOUXQDVTU","json":"https://pith.science/pith/335D5VXBI65XMRLZIMOUXQDVTU.json","graph_json":"https://pith.science/api/pith-number/335D5VXBI65XMRLZIMOUXQDVTU/graph.json","events_json":"https://pith.science/api/pith-number/335D5VXBI65XMRLZIMOUXQDVTU/events.json","paper":"https://pith.science/paper/335D5VXB"},"agent_actions":{"view_html":"https://pith.science/pith/335D5VXBI65XMRLZIMOUXQDVTU","download_json":"https://pith.science/pith/335D5VXBI65XMRLZIMOUXQDVTU.json","view_paper":"https://pith.science/paper/335D5VXB","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2607.10949&json=true","fetch_graph":"https://pith.science/api/pith-number/335D5VXBI65XMRLZIMOUXQDVTU/graph.json","fetch_events":"https://pith.science/api/pith-number/335D5VXBI65XMRLZIMOUXQDVTU/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/335D5VXBI65XMRLZIMOUXQDVTU/action/timestamp_anchor","attest_storage":"https://pith.science/pith/335D5VXBI65XMRLZIMOUXQDVTU/action/storage_attestation","attest_author":"https://pith.science/pith/335D5VXBI65XMRLZIMOUXQDVTU/action/author_attestation","sign_citation":"https://pith.science/pith/335D5VXBI65XMRLZIMOUXQDVTU/action/citation_signature","submit_replication":"https://pith.science/pith/335D5VXBI65XMRLZIMOUXQDVTU/action/replication_record"}},"created_at":"2026-07-14T01:21:49.159783+00:00","updated_at":"2026-07-14T01:21:49.159783+00:00"}