{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:QDVICSTSU5ADOCGEOU7C5HOG3V","short_pith_number":"pith:QDVICSTS","canonical_record":{"source":{"id":"2504.00115","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2025-03-31T18:04:15Z","cross_cats_sorted":["cs.SY","eess.SY"],"title_canon_sha256":"2ec5080be963065bce270de5ecaa62309f2c15c96c4e3f9372a0c0e726fb4277","abstract_canon_sha256":"e49860812cd8c4fe17a28ac7ed7c43eab017e3fb7bbc8711b4ee98d36799a209"},"schema_version":"1.0"},"canonical_sha256":"80ea814a72a7403708c4753e2e9dc6dd4fe0a420867e1fef4fd2643f0a0c1d3c","source":{"kind":"arxiv","id":"2504.00115","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2504.00115","created_at":"2026-07-05T11:19:26Z"},{"alias_kind":"arxiv_version","alias_value":"2504.00115v2","created_at":"2026-07-05T11:19:26Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2504.00115","created_at":"2026-07-05T11:19:26Z"},{"alias_kind":"pith_short_12","alias_value":"QDVICSTSU5AD","created_at":"2026-07-05T11:19:26Z"},{"alias_kind":"pith_short_16","alias_value":"QDVICSTSU5ADOCGE","created_at":"2026-07-05T11:19:26Z"},{"alias_kind":"pith_short_8","alias_value":"QDVICSTS","created_at":"2026-07-05T11:19:26Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:QDVICSTSU5ADOCGEOU7C5HOG3V","target":"record","payload":{"canonical_record":{"source":{"id":"2504.00115","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2025-03-31T18:04:15Z","cross_cats_sorted":["cs.SY","eess.SY"],"title_canon_sha256":"2ec5080be963065bce270de5ecaa62309f2c15c96c4e3f9372a0c0e726fb4277","abstract_canon_sha256":"e49860812cd8c4fe17a28ac7ed7c43eab017e3fb7bbc8711b4ee98d36799a209"},"schema_version":"1.0"},"canonical_sha256":"80ea814a72a7403708c4753e2e9dc6dd4fe0a420867e1fef4fd2643f0a0c1d3c","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:19:26.175339Z","signature_b64":"ZlTqnReoe8nP2s2PC6va44W0vF3XkMOaFoLnLr6JzLuSlgNxTUDYwJvF489Nwikk0AriLO5KjsuhbQpZg9zqDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"80ea814a72a7403708c4753e2e9dc6dd4fe0a420867e1fef4fd2643f0a0c1d3c","last_reissued_at":"2026-07-05T11:19:26.174814Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:19:26.174814Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2504.00115","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:19:26Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"WR3DFQd7ZQwdfUBDn1P2PqbreM7ucumH6Kjlb3bf0dtntlaF+BOv/c5iVpC9hMkSs1oONsh3H34gPcqhrCuGBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-21T21:08:50.137434Z"},"content_sha256":"40d3e1952eff8c85f1dd141697ebec0c9ee4edfec1dad3f5b7398d6e954ab429","schema_version":"1.0","event_id":"sha256:40d3e1952eff8c85f1dd141697ebec0c9ee4edfec1dad3f5b7398d6e954ab429"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:QDVICSTSU5ADOCGEOU7C5HOG3V","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"SACA: A Scenario-Aware Collision Avoidance Framework for Autonomous Vehicles Integrating LLMs-Driven Reasoning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.SY","eess.SY"],"primary_cat":"cs.RO","authors_text":"Chengkun He, Heye Huang, Junzhi Zhang, Neda Masoud, Shiyue Zhao, Xiaohui Hou","submitted_at":"2025-03-31T18:04:15Z","abstract_excerpt":"Reliable collision avoidance under extreme situations remains a critical challenge for autonomous vehicles. While large language models (LLMs) offer promising reasoning capabilities, their application in safety-critical evasive maneuvers is limited by latency and robustness issues. Even so, LLMs stand out for their ability to weigh emotional, legal, and ethical factors, enabling socially responsible and context-aware collision avoidance. This paper proposes a scenario-aware collision avoidance (SACA) framework for extreme situations by integrating predictive scenario evaluation, data-driven re"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2504.00115","kind":"arxiv","version":2},"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/2504.00115/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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:19:26Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8c7lhZ9Wk2Ns0FE1UTnYvWhgYui3Kr4DpDI1S11538mtzqy17rm9UPJTjdYWRAOZGZRwLpjyRNhPRCh/uunuBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-21T21:08:50.137812Z"},"content_sha256":"515c13294b82c91bcbccacba20ce92772021e4908364135abfeb54bf11c9ea18","schema_version":"1.0","event_id":"sha256:515c13294b82c91bcbccacba20ce92772021e4908364135abfeb54bf11c9ea18"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/QDVICSTSU5ADOCGEOU7C5HOG3V/bundle.json","state_url":"https://pith.science/pith/QDVICSTSU5ADOCGEOU7C5HOG3V/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/QDVICSTSU5ADOCGEOU7C5HOG3V/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-07-21T21:08:50Z","links":{"resolver":"https://pith.science/pith/QDVICSTSU5ADOCGEOU7C5HOG3V","bundle":"https://pith.science/pith/QDVICSTSU5ADOCGEOU7C5HOG3V/bundle.json","state":"https://pith.science/pith/QDVICSTSU5ADOCGEOU7C5HOG3V/state.json","well_known_bundle":"https://pith.science/.well-known/pith/QDVICSTSU5ADOCGEOU7C5HOG3V/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:QDVICSTSU5ADOCGEOU7C5HOG3V","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":"e49860812cd8c4fe17a28ac7ed7c43eab017e3fb7bbc8711b4ee98d36799a209","cross_cats_sorted":["cs.SY","eess.SY"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2025-03-31T18:04:15Z","title_canon_sha256":"2ec5080be963065bce270de5ecaa62309f2c15c96c4e3f9372a0c0e726fb4277"},"schema_version":"1.0","source":{"id":"2504.00115","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2504.00115","created_at":"2026-07-05T11:19:26Z"},{"alias_kind":"arxiv_version","alias_value":"2504.00115v2","created_at":"2026-07-05T11:19:26Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2504.00115","created_at":"2026-07-05T11:19:26Z"},{"alias_kind":"pith_short_12","alias_value":"QDVICSTSU5AD","created_at":"2026-07-05T11:19:26Z"},{"alias_kind":"pith_short_16","alias_value":"QDVICSTSU5ADOCGE","created_at":"2026-07-05T11:19:26Z"},{"alias_kind":"pith_short_8","alias_value":"QDVICSTS","created_at":"2026-07-05T11:19:26Z"}],"graph_snapshots":[{"event_id":"sha256:515c13294b82c91bcbccacba20ce92772021e4908364135abfeb54bf11c9ea18","target":"graph","created_at":"2026-07-05T11:19:26Z","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/2504.00115/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Reliable collision avoidance under extreme situations remains a critical challenge for autonomous vehicles. While large language models (LLMs) offer promising reasoning capabilities, their application in safety-critical evasive maneuvers is limited by latency and robustness issues. Even so, LLMs stand out for their ability to weigh emotional, legal, and ethical factors, enabling socially responsible and context-aware collision avoidance. This paper proposes a scenario-aware collision avoidance (SACA) framework for extreme situations by integrating predictive scenario evaluation, data-driven re","authors_text":"Chengkun He, Heye Huang, Junzhi Zhang, Neda Masoud, Shiyue Zhao, Xiaohui Hou","cross_cats":["cs.SY","eess.SY"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2025-03-31T18:04:15Z","title":"SACA: A Scenario-Aware Collision Avoidance Framework for Autonomous Vehicles Integrating LLMs-Driven Reasoning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2504.00115","kind":"arxiv","version":2},"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":"sha256:40d3e1952eff8c85f1dd141697ebec0c9ee4edfec1dad3f5b7398d6e954ab429","target":"record","created_at":"2026-07-05T11:19:26Z","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":"e49860812cd8c4fe17a28ac7ed7c43eab017e3fb7bbc8711b4ee98d36799a209","cross_cats_sorted":["cs.SY","eess.SY"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2025-03-31T18:04:15Z","title_canon_sha256":"2ec5080be963065bce270de5ecaa62309f2c15c96c4e3f9372a0c0e726fb4277"},"schema_version":"1.0","source":{"id":"2504.00115","kind":"arxiv","version":2}},"canonical_sha256":"80ea814a72a7403708c4753e2e9dc6dd4fe0a420867e1fef4fd2643f0a0c1d3c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"80ea814a72a7403708c4753e2e9dc6dd4fe0a420867e1fef4fd2643f0a0c1d3c","first_computed_at":"2026-07-05T11:19:26.174814Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:19:26.174814Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ZlTqnReoe8nP2s2PC6va44W0vF3XkMOaFoLnLr6JzLuSlgNxTUDYwJvF489Nwikk0AriLO5KjsuhbQpZg9zqDA==","signature_status":"signed_v1","signed_at":"2026-07-05T11:19:26.175339Z","signed_message":"canonical_sha256_bytes"},"source_id":"2504.00115","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:40d3e1952eff8c85f1dd141697ebec0c9ee4edfec1dad3f5b7398d6e954ab429","sha256:515c13294b82c91bcbccacba20ce92772021e4908364135abfeb54bf11c9ea18"],"state_sha256":"9c42326ece59bd650abca152c9013273f2ebc2f02f18589a778dad6702488a77"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"GJd+RFk/g3QqZgeNzLbjmcfYflO18hcrgNgXGjbeBBP7fDefMwasftPZzFW0bECdnI+GKtnRqFs9cClL4vaaBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-21T21:08:50.139925Z","bundle_sha256":"dd7279acd31baf4d27726876471aa648a1ae0060980dd584da2f55574231b92d"}}