{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2023:TMMQBBODOW52GETQ6KJPBYQZ33","short_pith_number":"pith:TMMQBBOD","schema_version":"1.0","canonical_sha256":"9b190085c375bba31270f292f0e219def5afd558c3497957f386f0d7fae8f543","source":{"kind":"arxiv","id":"2309.12052","version":1},"attestation_state":"computed","paper":{"title":"Optimizing V2V Unicast Communication Transmission with Reinforcement Learning and Vehicle Clustering","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.NI","authors_text":"Yu Wang","submitted_at":"2023-09-21T13:17:50Z","abstract_excerpt":"Efficient routing algorithms based on vehicular ad hoc networks (VANETs) play an important role in emerging intelligent transportation systems. This highly dynamic topology faces a number of wireless communication service challenges. In this paper, we propose a protocol based on reinforcement learning and vehicle node clustering, the protocol is called Qucts, solve vehicle-to-fixed-destination or V2V messaging problems. Improve message delivery rates with minimal hops and latency, link stability is also taken into account. The agreement is divided into three levels, first cluster the vehicles,"},"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":"2309.12052","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NI","submitted_at":"2023-09-21T13:17:50Z","cross_cats_sorted":[],"title_canon_sha256":"ecb1326f67bc021f533edc3f42cb78bffea807cbea8922279d1d383f9bcdaf9a","abstract_canon_sha256":"14b408fe269e9621aa71d0b1208d33e57428066ef2b164395127c963861f74fc"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:52:58.113228Z","signature_b64":"bfj044ZpGoh44YgFA1KofrTqsW1U0gGMW0jXyJdSDte9f9T8GcRoQK2oOuW6p6i3krm5IzbFbPjGn/cKsG4GCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9b190085c375bba31270f292f0e219def5afd558c3497957f386f0d7fae8f543","last_reissued_at":"2026-07-05T06:52:58.112786Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:52:58.112786Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Optimizing V2V Unicast Communication Transmission with Reinforcement Learning and Vehicle Clustering","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.NI","authors_text":"Yu Wang","submitted_at":"2023-09-21T13:17:50Z","abstract_excerpt":"Efficient routing algorithms based on vehicular ad hoc networks (VANETs) play an important role in emerging intelligent transportation systems. This highly dynamic topology faces a number of wireless communication service challenges. In this paper, we propose a protocol based on reinforcement learning and vehicle node clustering, the protocol is called Qucts, solve vehicle-to-fixed-destination or V2V messaging problems. Improve message delivery rates with minimal hops and latency, link stability is also taken into account. The agreement is divided into three levels, first cluster the vehicles,"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2309.12052","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/2309.12052/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":"2309.12052","created_at":"2026-07-05T06:52:58.112842+00:00"},{"alias_kind":"arxiv_version","alias_value":"2309.12052v1","created_at":"2026-07-05T06:52:58.112842+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2309.12052","created_at":"2026-07-05T06:52:58.112842+00:00"},{"alias_kind":"pith_short_12","alias_value":"TMMQBBODOW52","created_at":"2026-07-05T06:52:58.112842+00:00"},{"alias_kind":"pith_short_16","alias_value":"TMMQBBODOW52GETQ","created_at":"2026-07-05T06:52:58.112842+00:00"},{"alias_kind":"pith_short_8","alias_value":"TMMQBBOD","created_at":"2026-07-05T06:52:58.112842+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/TMMQBBODOW52GETQ6KJPBYQZ33","json":"https://pith.science/pith/TMMQBBODOW52GETQ6KJPBYQZ33.json","graph_json":"https://pith.science/api/pith-number/TMMQBBODOW52GETQ6KJPBYQZ33/graph.json","events_json":"https://pith.science/api/pith-number/TMMQBBODOW52GETQ6KJPBYQZ33/events.json","paper":"https://pith.science/paper/TMMQBBOD"},"agent_actions":{"view_html":"https://pith.science/pith/TMMQBBODOW52GETQ6KJPBYQZ33","download_json":"https://pith.science/pith/TMMQBBODOW52GETQ6KJPBYQZ33.json","view_paper":"https://pith.science/paper/TMMQBBOD","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2309.12052&json=true","fetch_graph":"https://pith.science/api/pith-number/TMMQBBODOW52GETQ6KJPBYQZ33/graph.json","fetch_events":"https://pith.science/api/pith-number/TMMQBBODOW52GETQ6KJPBYQZ33/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/TMMQBBODOW52GETQ6KJPBYQZ33/action/timestamp_anchor","attest_storage":"https://pith.science/pith/TMMQBBODOW52GETQ6KJPBYQZ33/action/storage_attestation","attest_author":"https://pith.science/pith/TMMQBBODOW52GETQ6KJPBYQZ33/action/author_attestation","sign_citation":"https://pith.science/pith/TMMQBBODOW52GETQ6KJPBYQZ33/action/citation_signature","submit_replication":"https://pith.science/pith/TMMQBBODOW52GETQ6KJPBYQZ33/action/replication_record"}},"created_at":"2026-07-05T06:52:58.112842+00:00","updated_at":"2026-07-05T06:52:58.112842+00:00"}