{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:3EEKIJ4JDMYZUOW2GSEMXSR2DI","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":"d816119cd81db1cde6858ac6cd5879986cca10c085ec352367a216c4637b7fa4","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2026-06-10T01:51:51Z","title_canon_sha256":"82d233411b210808bfa1076bfa1730e14a4bc501a44f6502dbd86a8a8904d65b"},"schema_version":"1.0","source":{"id":"2606.11569","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.11569","created_at":"2026-06-11T01:09:56Z"},{"alias_kind":"arxiv_version","alias_value":"2606.11569v1","created_at":"2026-06-11T01:09:56Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.11569","created_at":"2026-06-11T01:09:56Z"},{"alias_kind":"pith_short_12","alias_value":"3EEKIJ4JDMYZ","created_at":"2026-06-11T01:09:56Z"},{"alias_kind":"pith_short_16","alias_value":"3EEKIJ4JDMYZUOW2","created_at":"2026-06-11T01:09:56Z"},{"alias_kind":"pith_short_8","alias_value":"3EEKIJ4J","created_at":"2026-06-11T01:09:56Z"}],"graph_snapshots":[{"event_id":"sha256:b711c32cb15cd7427a95836d80f4324e6192a332fc14a289160188790f13133e","target":"graph","created_at":"2026-06-11T01:09:56Z","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/2606.11569/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Closed-loop planning in complex, real-world driving scenarios presents a critical challenge for autonomous driving systems. While traditional rule-based methods are interpretable, their predefined heuristics lack the adaptability for dynamic traffic environments. Learning-based approaches have shown considerable promise. Conversely, learning-based approaches, despite their promise, struggle to balance the modeling diverse and multimodal driving behaviors and real-time planning, often leading to indecisive or unsafe actions. To address this limitation, we propose Consistency Planner, a real-tim","authors_text":"Dongbin Zhao, Jiaqi Fang, Jie Ling, Qiankun Yu, Qichao Zhang, Xing Fang, Zhenwen Cai","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2026-06-10T01:51:51Z","title":"ConsistencyPlanner: Real-time Planning with Fast-Sampling Consistency Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.11569","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":"sha256:30c7599ef3592f1f6c6efb2a6a45cd5c32cfc71a25791b936cfeacf7f9194bdd","target":"record","created_at":"2026-06-11T01:09:56Z","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":"d816119cd81db1cde6858ac6cd5879986cca10c085ec352367a216c4637b7fa4","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2026-06-10T01:51:51Z","title_canon_sha256":"82d233411b210808bfa1076bfa1730e14a4bc501a44f6502dbd86a8a8904d65b"},"schema_version":"1.0","source":{"id":"2606.11569","kind":"arxiv","version":1}},"canonical_sha256":"d908a427891b319a3ada3488cbca3a1a348850d1d436026321886aaa9e6eafdc","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d908a427891b319a3ada3488cbca3a1a348850d1d436026321886aaa9e6eafdc","first_computed_at":"2026-06-11T01:09:56.655646Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-11T01:09:56.655646Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"o5aPbg6Ozto/UfesasJTydvilkPYHAHbHkUftbRcsMk/7gU0x8cNyTolHIahEol/2gZVV8jlytZA+SI2gZnoAQ==","signature_status":"signed_v1","signed_at":"2026-06-11T01:09:56.656449Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.11569","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:30c7599ef3592f1f6c6efb2a6a45cd5c32cfc71a25791b936cfeacf7f9194bdd","sha256:b711c32cb15cd7427a95836d80f4324e6192a332fc14a289160188790f13133e"],"state_sha256":"9d8e1d9cedb96d488bbfd655becf282a338b89fa7e53ad7fb5ebc384d034b33b"}