{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:55SGOYFW2AI7XJYCPV32AD7ZPQ","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":"e7ded64e499d7c20ec2749a309689129061a71a1d8666f289a87174e3f5b4e63","cross_cats_sorted":["cs.RO"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2024-08-26T11:19:58Z","title_canon_sha256":"d57ab83f720acd8ad58af98b06bcb1fdf1084f9b1d181e9f455ccf2e693b91b3"},"schema_version":"1.0","source":{"id":"2408.14185","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2408.14185","created_at":"2026-07-05T08:59:17Z"},{"alias_kind":"arxiv_version","alias_value":"2408.14185v1","created_at":"2026-07-05T08:59:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2408.14185","created_at":"2026-07-05T08:59:17Z"},{"alias_kind":"pith_short_12","alias_value":"55SGOYFW2AI7","created_at":"2026-07-05T08:59:17Z"},{"alias_kind":"pith_short_16","alias_value":"55SGOYFW2AI7XJYC","created_at":"2026-07-05T08:59:17Z"},{"alias_kind":"pith_short_8","alias_value":"55SGOYFW","created_at":"2026-07-05T08:59:17Z"}],"graph_snapshots":[{"event_id":"sha256:c246014d7326ce99524fea100d59c72d2b9eba9ce5b11fc249c8d3094a9f1d39","target":"graph","created_at":"2026-07-05T08:59:17Z","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/2408.14185/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Real-time dynamic path planning in complex traffic environments presents challenges, such as varying traffic volumes and signal wait times. Traditional static routing algorithms like Dijkstra and A* compute shortest paths but often fail under dynamic conditions. Recent Reinforcement Learning (RL) approaches offer improvements but tend to focus on local optima, risking dead-ends or boundary issues. This paper proposes a novel approach based on causal inference for real-time dynamic path planning, balancing global and local optimality. We first use the static Dijkstra algorithm to compute a glob","authors_text":"Bin Zhou, Hao Liu, Ziai Zhou","cross_cats":["cs.RO"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2024-08-26T11:19:58Z","title":"DynamicRouteGPT: A Real-Time Multi-Vehicle Dynamic Navigation Framework Based on Large Language Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2408.14185","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":"sha256:1d7cca0883c5ea944a14dfe9b72ce775ff99a9336d9e5558bc11413ec800f63a","target":"record","created_at":"2026-07-05T08:59:17Z","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":"e7ded64e499d7c20ec2749a309689129061a71a1d8666f289a87174e3f5b4e63","cross_cats_sorted":["cs.RO"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2024-08-26T11:19:58Z","title_canon_sha256":"d57ab83f720acd8ad58af98b06bcb1fdf1084f9b1d181e9f455ccf2e693b91b3"},"schema_version":"1.0","source":{"id":"2408.14185","kind":"arxiv","version":1}},"canonical_sha256":"ef646760b6d011fba7027d77a00ff97c2f10be11ab2b105a79aa00e1871631df","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ef646760b6d011fba7027d77a00ff97c2f10be11ab2b105a79aa00e1871631df","first_computed_at":"2026-07-05T08:59:17.437357Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:59:17.437357Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"v27/jMdufVVSsQPC+FrTixrA0TCKsZoi84PAYMY+4vZoToxQgmF1htDTwLwVt97KgeDG4Dmuxe07dmgmlKM9AA==","signature_status":"signed_v1","signed_at":"2026-07-05T08:59:17.437811Z","signed_message":"canonical_sha256_bytes"},"source_id":"2408.14185","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1d7cca0883c5ea944a14dfe9b72ce775ff99a9336d9e5558bc11413ec800f63a","sha256:c246014d7326ce99524fea100d59c72d2b9eba9ce5b11fc249c8d3094a9f1d39"],"state_sha256":"c31921c03e6a2ffeac57fff7c70e7696e2e28e51b13fbaceea732f1e785fa2dc"}