{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:335D5VXBI65XMRLZIMOUXQDVTU","short_pith_number":"pith:335D5VXB","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"},"canonical_sha256":"defa3ed6e147bb764579431d4bc0759d29ab4731a059d5f2208e13c69e1ba889","source":{"kind":"arxiv","id":"2607.10949","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.10949","created_at":"2026-07-14T01:21:49Z"},{"alias_kind":"arxiv_version","alias_value":"2607.10949v1","created_at":"2026-07-14T01:21:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.10949","created_at":"2026-07-14T01:21:49Z"},{"alias_kind":"pith_short_12","alias_value":"335D5VXBI65X","created_at":"2026-07-14T01:21:49Z"},{"alias_kind":"pith_short_16","alias_value":"335D5VXBI65XMRLZ","created_at":"2026-07-14T01:21:49Z"},{"alias_kind":"pith_short_8","alias_value":"335D5VXB","created_at":"2026-07-14T01:21:49Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:335D5VXBI65XMRLZIMOUXQDVTU","target":"record","payload":{"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"},"canonical_sha256":"defa3ed6e147bb764579431d4bc0759d29ab4731a059d5f2208e13c69e1ba889","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"},"source_kind":"arxiv","source_id":"2607.10949","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-14T01:21:49Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"P4uB2cAPzzpp0q3hkpI4QeidczJML2I30+G3j9t6EuGS3A5cSiZWeHBMvnXG9DjzkLqaXVEg1ZOXCmyufR5wDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T09:31:29.241230Z"},"content_sha256":"2668d33c9dcc4b67d1d9262256864129d32293c9aa9deb0901f2770ac048e512","schema_version":"1.0","event_id":"sha256:2668d33c9dcc4b67d1d9262256864129d32293c9aa9deb0901f2770ac048e512"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:335D5VXBI65XMRLZIMOUXQDVTU","target":"graph","payload":{"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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-14T01:21:49Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"s+/OBBwDlNZpfWrbnGUJKHHWk6TI40dyssKj+ac2Qsvq0JS8fZW9DU5511RwmZwl/TrgJ57pcYPPCGQ0hTaUAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T09:31:29.241731Z"},"content_sha256":"1a15bc86a5e8ed5e16f8a6c9df8d2cef9ad7544560d65ea91e036ee10b28dc09","schema_version":"1.0","event_id":"sha256:1a15bc86a5e8ed5e16f8a6c9df8d2cef9ad7544560d65ea91e036ee10b28dc09"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/335D5VXBI65XMRLZIMOUXQDVTU/bundle.json","state_url":"https://pith.science/pith/335D5VXBI65XMRLZIMOUXQDVTU/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/335D5VXBI65XMRLZIMOUXQDVTU/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-08T09:31:29Z","links":{"resolver":"https://pith.science/pith/335D5VXBI65XMRLZIMOUXQDVTU","bundle":"https://pith.science/pith/335D5VXBI65XMRLZIMOUXQDVTU/bundle.json","state":"https://pith.science/pith/335D5VXBI65XMRLZIMOUXQDVTU/state.json","well_known_bundle":"https://pith.science/.well-known/pith/335D5VXBI65XMRLZIMOUXQDVTU/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:335D5VXBI65XMRLZIMOUXQDVTU","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"784a4ac80a6e3718fc32904dbdec156c9e1f34b4cf7b6aa4673023a74247c6a9","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-07-12T22:38:57Z","title_canon_sha256":"4e0cf8138205888914baedfe132956496800bb282b912f8e77d7313bdb80aa1a"},"schema_version":"1.0","source":{"id":"2607.10949","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.10949","created_at":"2026-07-14T01:21:49Z"},{"alias_kind":"arxiv_version","alias_value":"2607.10949v1","created_at":"2026-07-14T01:21:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.10949","created_at":"2026-07-14T01:21:49Z"},{"alias_kind":"pith_short_12","alias_value":"335D5VXBI65X","created_at":"2026-07-14T01:21:49Z"},{"alias_kind":"pith_short_16","alias_value":"335D5VXBI65XMRLZ","created_at":"2026-07-14T01:21:49Z"},{"alias_kind":"pith_short_8","alias_value":"335D5VXB","created_at":"2026-07-14T01:21:49Z"}],"graph_snapshots":[{"event_id":"sha256:1a15bc86a5e8ed5e16f8a6c9df8d2cef9ad7544560d65ea91e036ee10b28dc09","target":"graph","created_at":"2026-07-14T01:21:49Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2607.10949/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"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","authors_text":"Parikshit Singh Rathore, Punit Rathore, Vishwajeet Pattanaik","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-07-12T22:38:57Z","title":"Unsupervised Detection of Entry and Exit Regions from Vehicle Trajectories for Camera-Agnostic Turning Movement Counts"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.10949","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:2668d33c9dcc4b67d1d9262256864129d32293c9aa9deb0901f2770ac048e512","target":"record","created_at":"2026-07-14T01:21:49Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"784a4ac80a6e3718fc32904dbdec156c9e1f34b4cf7b6aa4673023a74247c6a9","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-07-12T22:38:57Z","title_canon_sha256":"4e0cf8138205888914baedfe132956496800bb282b912f8e77d7313bdb80aa1a"},"schema_version":"1.0","source":{"id":"2607.10949","kind":"arxiv","version":1}},"canonical_sha256":"defa3ed6e147bb764579431d4bc0759d29ab4731a059d5f2208e13c69e1ba889","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"defa3ed6e147bb764579431d4bc0759d29ab4731a059d5f2208e13c69e1ba889","first_computed_at":"2026-07-14T01:21:49.159327Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-14T01:21:49.159327Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"EOTesdauLP5+XTIl2z00FBjDXQIeYCVMd51IXLiBi7JY6QIjMOjWDkuWyPv7qNOXA86iNwB6pC7kKU8Is1uNDw==","signature_status":"signed_v1","signed_at":"2026-07-14T01:21:49.160247Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.10949","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2668d33c9dcc4b67d1d9262256864129d32293c9aa9deb0901f2770ac048e512","sha256:1a15bc86a5e8ed5e16f8a6c9df8d2cef9ad7544560d65ea91e036ee10b28dc09"],"state_sha256":"04a5dda68905edc11edd26da083803611978000892978585d595a90439cc806b"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"53K/1gH0EEnH9SLilAT8rVrGfsAQNhdwaajiRLh8aIsP6JuvDA7L8DA3pva2/Oe6F+pK4kTCv2Fvy8lDe8JCAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T09:31:29.246382Z","bundle_sha256":"d59fafd6ceb6d4e7859150254189d304b805bb372c4d2f978539c0d2e8f1ed6b"}}