{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:AYJCPRCJ2YNBTI7BZAVI3JCEM5","short_pith_number":"pith:AYJCPRCJ","schema_version":"1.0","canonical_sha256":"061227c449d61a19a3e1c82a8da444674f588ed3b0db902cb506cfae7ea2d739","source":{"kind":"arxiv","id":"2606.22055","version":1},"attestation_state":"computed","paper":{"title":"Multi-Target Maneuver Coordinations: Unlocking Coordination Opportunities in Connected Automated Driving","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.RO"],"primary_cat":"cs.NI","authors_text":"Javier Gozalvez, Miguel Sepulcre, Onur Altintas, Rafael Molina-Masegosa, Sergei S. Avedisov, Takayuki Shimizu","submitted_at":"2026-06-20T14:14:19Z","abstract_excerpt":"Maneuver coordination is a key enabler of connected and automated driving, allowing vehicles to negotiate and execute maneuvers that would otherwise be difficult, inefficient or unsafe. Existing approaches and use cases typically assume coordination with a single predefined target vehicle, which limits the number of coordination opportunities. This paper introduces a maneuver coordination approach based on multi-target selection, which allows a vehicle to identify and select among multiple potential coordination vehicles for a given maneuver. Multi-target maneuver coordination does not require"},"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":"2606.22055","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NI","submitted_at":"2026-06-20T14:14:19Z","cross_cats_sorted":["cs.RO"],"title_canon_sha256":"5153d05c12aaf10e59de89dce7fca40ed169c1901337ea9244e7c5e1e37afef5","abstract_canon_sha256":"0fd70436859ed077d986f72fe67a2bdf8115020596892c16c7e9972d4e6dbdf5"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-23T02:13:06.589833Z","signature_b64":"JrsKzqL6CRSqFMzGbQNOrIQpghe1XYxzpaga/j9aPYi4tgaOLZUSgx1hmxIEOtyzSX5Pfsk2LDCZTXtWNI6eCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"061227c449d61a19a3e1c82a8da444674f588ed3b0db902cb506cfae7ea2d739","last_reissued_at":"2026-06-23T02:13:06.589494Z","signature_status":"signed_v1","first_computed_at":"2026-06-23T02:13:06.589494Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Multi-Target Maneuver Coordinations: Unlocking Coordination Opportunities in Connected Automated Driving","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.RO"],"primary_cat":"cs.NI","authors_text":"Javier Gozalvez, Miguel Sepulcre, Onur Altintas, Rafael Molina-Masegosa, Sergei S. Avedisov, Takayuki Shimizu","submitted_at":"2026-06-20T14:14:19Z","abstract_excerpt":"Maneuver coordination is a key enabler of connected and automated driving, allowing vehicles to negotiate and execute maneuvers that would otherwise be difficult, inefficient or unsafe. Existing approaches and use cases typically assume coordination with a single predefined target vehicle, which limits the number of coordination opportunities. This paper introduces a maneuver coordination approach based on multi-target selection, which allows a vehicle to identify and select among multiple potential coordination vehicles for a given maneuver. Multi-target maneuver coordination does not require"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.22055","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/2606.22055/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":"2606.22055","created_at":"2026-06-23T02:13:06.589554+00:00"},{"alias_kind":"arxiv_version","alias_value":"2606.22055v1","created_at":"2026-06-23T02:13:06.589554+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.22055","created_at":"2026-06-23T02:13:06.589554+00:00"},{"alias_kind":"pith_short_12","alias_value":"AYJCPRCJ2YNB","created_at":"2026-06-23T02:13:06.589554+00:00"},{"alias_kind":"pith_short_16","alias_value":"AYJCPRCJ2YNBTI7B","created_at":"2026-06-23T02:13:06.589554+00:00"},{"alias_kind":"pith_short_8","alias_value":"AYJCPRCJ","created_at":"2026-06-23T02:13:06.589554+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/AYJCPRCJ2YNBTI7BZAVI3JCEM5","json":"https://pith.science/pith/AYJCPRCJ2YNBTI7BZAVI3JCEM5.json","graph_json":"https://pith.science/api/pith-number/AYJCPRCJ2YNBTI7BZAVI3JCEM5/graph.json","events_json":"https://pith.science/api/pith-number/AYJCPRCJ2YNBTI7BZAVI3JCEM5/events.json","paper":"https://pith.science/paper/AYJCPRCJ"},"agent_actions":{"view_html":"https://pith.science/pith/AYJCPRCJ2YNBTI7BZAVI3JCEM5","download_json":"https://pith.science/pith/AYJCPRCJ2YNBTI7BZAVI3JCEM5.json","view_paper":"https://pith.science/paper/AYJCPRCJ","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2606.22055&json=true","fetch_graph":"https://pith.science/api/pith-number/AYJCPRCJ2YNBTI7BZAVI3JCEM5/graph.json","fetch_events":"https://pith.science/api/pith-number/AYJCPRCJ2YNBTI7BZAVI3JCEM5/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/AYJCPRCJ2YNBTI7BZAVI3JCEM5/action/timestamp_anchor","attest_storage":"https://pith.science/pith/AYJCPRCJ2YNBTI7BZAVI3JCEM5/action/storage_attestation","attest_author":"https://pith.science/pith/AYJCPRCJ2YNBTI7BZAVI3JCEM5/action/author_attestation","sign_citation":"https://pith.science/pith/AYJCPRCJ2YNBTI7BZAVI3JCEM5/action/citation_signature","submit_replication":"https://pith.science/pith/AYJCPRCJ2YNBTI7BZAVI3JCEM5/action/replication_record"}},"created_at":"2026-06-23T02:13:06.589554+00:00","updated_at":"2026-06-23T02:13:06.589554+00:00"}