{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:PCBQ3E4ZJDIGAE7PYGY54WG7YR","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":"1bc50105553e2aafa3653d1e0208c02f4ef89d3f644bfe3f81d8478390102831","cross_cats_sorted":["cs.AI","cs.ET"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-02-05T17:32:07Z","title_canon_sha256":"9d177129cbd3f670aab2554a2ee177c677da3e0f7119438b03910cd1ef8bebf8"},"schema_version":"1.0","source":{"id":"2502.03396","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.03396","created_at":"2026-07-05T10:10:04Z"},{"alias_kind":"arxiv_version","alias_value":"2502.03396v1","created_at":"2026-07-05T10:10:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.03396","created_at":"2026-07-05T10:10:04Z"},{"alias_kind":"pith_short_12","alias_value":"PCBQ3E4ZJDIG","created_at":"2026-07-05T10:10:04Z"},{"alias_kind":"pith_short_16","alias_value":"PCBQ3E4ZJDIGAE7P","created_at":"2026-07-05T10:10:04Z"},{"alias_kind":"pith_short_8","alias_value":"PCBQ3E4Z","created_at":"2026-07-05T10:10:04Z"}],"graph_snapshots":[{"event_id":"sha256:e57c74d6f520e63098c96f906e6820059f2044e159c44627cf55e6558c1871bb","target":"graph","created_at":"2026-07-05T10:10:04Z","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/2502.03396/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Creating a Digital Twin (DT) for Healthcare Intelligent Transportation Systems (HITS) is a hot research trend focusing on enhancing HITS management, particularly in emergencies where ambulance vehicles must arrive at the crash scene on time and track their real-time location is crucial to the medical authorities. Despite the claim of real-time representation, a temporal misalignment persists between the physical and virtual domains, leading to discrepancies in the ambulance's location representation. This study proposes integrating AI predictive models, specifically Support Vector Regression (","authors_text":"Ahmed Al-Dubai, Berk Canberk, Bilge Bilgili, Sarah Al-Shareeda, Yasar Celik","cross_cats":["cs.AI","cs.ET"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-02-05T17:32:07Z","title":"Accurate AI-Driven Emergency Vehicle Location Tracking in Healthcare ITS Digital Twin"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.03396","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:e7a51bcb2af256e14c8e7ee180c01c4e3b175f09fc1b1fec69f69d1a7a5366f6","target":"record","created_at":"2026-07-05T10:10:04Z","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":"1bc50105553e2aafa3653d1e0208c02f4ef89d3f644bfe3f81d8478390102831","cross_cats_sorted":["cs.AI","cs.ET"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-02-05T17:32:07Z","title_canon_sha256":"9d177129cbd3f670aab2554a2ee177c677da3e0f7119438b03910cd1ef8bebf8"},"schema_version":"1.0","source":{"id":"2502.03396","kind":"arxiv","version":1}},"canonical_sha256":"78830d939948d06013efc1b1de58dfc443c6376f8acebd780a67ddd7bf52ee9a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"78830d939948d06013efc1b1de58dfc443c6376f8acebd780a67ddd7bf52ee9a","first_computed_at":"2026-07-05T10:10:04.292964Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:10:04.292964Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"gggC5wNNbvC/TUVaq+GmIqQfybMDu0y0DuIgSGLq0sUC4TxGRh6PWvs8gsIWLx6tUMWoNqywI8hnDMavDPDfDw==","signature_status":"signed_v1","signed_at":"2026-07-05T10:10:04.293516Z","signed_message":"canonical_sha256_bytes"},"source_id":"2502.03396","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e7a51bcb2af256e14c8e7ee180c01c4e3b175f09fc1b1fec69f69d1a7a5366f6","sha256:e57c74d6f520e63098c96f906e6820059f2044e159c44627cf55e6558c1871bb"],"state_sha256":"a423dba6886239fdf7ec6064705fc18abd0c7514ada37c1723bc6a7668299004"}