{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:7W4DEF4XBLXJNEVRSSSYK3BYLX","short_pith_number":"pith:7W4DEF4X","schema_version":"1.0","canonical_sha256":"fdb83217970aee9692b194a5856c385df79a07807e0a738518d9a30116c4ee9f","source":{"kind":"arxiv","id":"2507.08743","version":1},"attestation_state":"computed","paper":{"title":"Geo-ORBIT: A Federated Digital Twin Framework for Scene-Adaptive Lane Geometry Detection","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CV","authors_text":"Bin Ran, Pei Li, Rei Tamaru","submitted_at":"2025-07-11T16:45:59Z","abstract_excerpt":"Digital Twins (DT) have the potential to transform traffic management and operations by creating dynamic, virtual representations of transportation systems that sense conditions, analyze operations, and support decision-making. A key component for DT of the transportation system is dynamic roadway geometry sensing. However, existing approaches often rely on static maps or costly sensors, limiting scalability and adaptability. Additionally, large-scale DTs that collect and analyze data from multiple sources face challenges in privacy, communication, and computational efficiency. To address thes"},"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":"2507.08743","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-07-11T16:45:59Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"48b448a47a23aeebafa4d7ce3ce3dc7f26ce07e85c759cdb1ab9c5446b50166a","abstract_canon_sha256":"fc628f75afdaabab8b07b615bd43c6fe4a65fff0710ab076683a2fb24b8a5263"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:35:45.818171Z","signature_b64":"ZmUWdNZozu3q/5hYwrsQX3slGYrqr13+Modjujkn6Vca+BFtCff/B7mWqL0nuKD4YrpvLaDa4FwpBNpU22tADA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"fdb83217970aee9692b194a5856c385df79a07807e0a738518d9a30116c4ee9f","last_reissued_at":"2026-07-05T11:35:45.817660Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:35:45.817660Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Geo-ORBIT: A Federated Digital Twin Framework for Scene-Adaptive Lane Geometry Detection","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CV","authors_text":"Bin Ran, Pei Li, Rei Tamaru","submitted_at":"2025-07-11T16:45:59Z","abstract_excerpt":"Digital Twins (DT) have the potential to transform traffic management and operations by creating dynamic, virtual representations of transportation systems that sense conditions, analyze operations, and support decision-making. A key component for DT of the transportation system is dynamic roadway geometry sensing. However, existing approaches often rely on static maps or costly sensors, limiting scalability and adaptability. Additionally, large-scale DTs that collect and analyze data from multiple sources face challenges in privacy, communication, and computational efficiency. To address thes"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.08743","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/2507.08743/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":"2507.08743","created_at":"2026-07-05T11:35:45.817717+00:00"},{"alias_kind":"arxiv_version","alias_value":"2507.08743v1","created_at":"2026-07-05T11:35:45.817717+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.08743","created_at":"2026-07-05T11:35:45.817717+00:00"},{"alias_kind":"pith_short_12","alias_value":"7W4DEF4XBLXJ","created_at":"2026-07-05T11:35:45.817717+00:00"},{"alias_kind":"pith_short_16","alias_value":"7W4DEF4XBLXJNEVR","created_at":"2026-07-05T11:35:45.817717+00:00"},{"alias_kind":"pith_short_8","alias_value":"7W4DEF4X","created_at":"2026-07-05T11:35:45.817717+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/7W4DEF4XBLXJNEVRSSSYK3BYLX","json":"https://pith.science/pith/7W4DEF4XBLXJNEVRSSSYK3BYLX.json","graph_json":"https://pith.science/api/pith-number/7W4DEF4XBLXJNEVRSSSYK3BYLX/graph.json","events_json":"https://pith.science/api/pith-number/7W4DEF4XBLXJNEVRSSSYK3BYLX/events.json","paper":"https://pith.science/paper/7W4DEF4X"},"agent_actions":{"view_html":"https://pith.science/pith/7W4DEF4XBLXJNEVRSSSYK3BYLX","download_json":"https://pith.science/pith/7W4DEF4XBLXJNEVRSSSYK3BYLX.json","view_paper":"https://pith.science/paper/7W4DEF4X","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2507.08743&json=true","fetch_graph":"https://pith.science/api/pith-number/7W4DEF4XBLXJNEVRSSSYK3BYLX/graph.json","fetch_events":"https://pith.science/api/pith-number/7W4DEF4XBLXJNEVRSSSYK3BYLX/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/7W4DEF4XBLXJNEVRSSSYK3BYLX/action/timestamp_anchor","attest_storage":"https://pith.science/pith/7W4DEF4XBLXJNEVRSSSYK3BYLX/action/storage_attestation","attest_author":"https://pith.science/pith/7W4DEF4XBLXJNEVRSSSYK3BYLX/action/author_attestation","sign_citation":"https://pith.science/pith/7W4DEF4XBLXJNEVRSSSYK3BYLX/action/citation_signature","submit_replication":"https://pith.science/pith/7W4DEF4XBLXJNEVRSSSYK3BYLX/action/replication_record"}},"created_at":"2026-07-05T11:35:45.817717+00:00","updated_at":"2026-07-05T11:35:45.817717+00:00"}