{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:XF73NSMCVZXPGFHLAM6XJC7YQK","short_pith_number":"pith:XF73NSMC","canonical_record":{"source":{"id":"2506.21041","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2025-06-26T06:42:03Z","cross_cats_sorted":["cs.AI","cs.CV"],"title_canon_sha256":"0767bf464e18d0fa4018923a84841a276a3926d8921a947bb09f240b0765b676","abstract_canon_sha256":"f3d1f31731a94dd510c416c090894b17fc45dae9a64d55eae7d8d07224d8480e"},"schema_version":"1.0"},"canonical_sha256":"b97fb6c982ae6ef314eb033d748bf8828399ece3230b39becdeb8fb54277e58a","source":{"kind":"arxiv","id":"2506.21041","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.21041","created_at":"2026-07-05T11:31:46Z"},{"alias_kind":"arxiv_version","alias_value":"2506.21041v2","created_at":"2026-07-05T11:31:46Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.21041","created_at":"2026-07-05T11:31:46Z"},{"alias_kind":"pith_short_12","alias_value":"XF73NSMCVZXP","created_at":"2026-07-05T11:31:46Z"},{"alias_kind":"pith_short_16","alias_value":"XF73NSMCVZXPGFHL","created_at":"2026-07-05T11:31:46Z"},{"alias_kind":"pith_short_8","alias_value":"XF73NSMC","created_at":"2026-07-05T11:31:46Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:XF73NSMCVZXPGFHLAM6XJC7YQK","target":"record","payload":{"canonical_record":{"source":{"id":"2506.21041","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2025-06-26T06:42:03Z","cross_cats_sorted":["cs.AI","cs.CV"],"title_canon_sha256":"0767bf464e18d0fa4018923a84841a276a3926d8921a947bb09f240b0765b676","abstract_canon_sha256":"f3d1f31731a94dd510c416c090894b17fc45dae9a64d55eae7d8d07224d8480e"},"schema_version":"1.0"},"canonical_sha256":"b97fb6c982ae6ef314eb033d748bf8828399ece3230b39becdeb8fb54277e58a","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:31:46.825601Z","signature_b64":"OwokYAywkPB4Vi6/2XVD1kj5MgDqBIkILYkIYByho2W8ZDvRAHvJOV0NeM5H8Rr0I2StBa2hlBHxGGLru1uyAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b97fb6c982ae6ef314eb033d748bf8828399ece3230b39becdeb8fb54277e58a","last_reissued_at":"2026-07-05T11:31:46.824970Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:31:46.824970Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2506.21041","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":"2026-07-05T11:31:46Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"MrU06Sa4glSXP0tXnCHsyt/dUlQfcP3T1A5U6AlPOa5ThShsrpsI5OeeltfwbMf20LNV0zfam0QPk1TdWJ1cDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-27T02:41:53.710033Z"},"content_sha256":"4666f93e4e976629c324493fa64666de77e111bacfe0ed5f7db01170400146ca","schema_version":"1.0","event_id":"sha256:4666f93e4e976629c324493fa64666de77e111bacfe0ed5f7db01170400146ca"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:XF73NSMCVZXPGFHLAM6XJC7YQK","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"SEAL: Vision-Language Model-Based Safe End-to-End Cooperative Autonomous Driving with Adaptive Long-Tail Modeling","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.CV"],"primary_cat":"cs.RO","authors_text":"Bin Ran, Haotian Shi, Junwei You, Pei Li, Rui Gan, Zhuoyu Jiang, Zilin Huang","submitted_at":"2025-06-26T06:42:03Z","abstract_excerpt":"Autonomous driving technologies face significant safety challenges while operating under rare, diverse, and visually degraded weather scenarios. These challenges become more critical in cooperative settings, where vehicles and infrastructure jointly perceive and reason across complex environments. To address these issues, we propose SEAL, a vision-language model-based framework with adaptive multimodal learning for robust cooperative autonomous driving under long-tail scenarios. SEAL introduces three core innovations: (i) a prompt-driven long-tail scenario generation and evaluation pipeline th"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.21041","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/2506.21041/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":"2026-07-05T11:31:46Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"NQZBWkhd7LIH4iIbUAO1OyhoV1Uk+FjZpX/kk2V0BRyBq0k2HE+MrLlwE9vxRmz5H/oFR+SuPKvHFHZibT4YAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-27T02:41:53.710436Z"},"content_sha256":"dc283eb210bc434798cfbedcb6345477fec833fd75f30d776cd5e2a70dab8466","schema_version":"1.0","event_id":"sha256:dc283eb210bc434798cfbedcb6345477fec833fd75f30d776cd5e2a70dab8466"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/XF73NSMCVZXPGFHLAM6XJC7YQK/bundle.json","state_url":"https://pith.science/pith/XF73NSMCVZXPGFHLAM6XJC7YQK/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/XF73NSMCVZXPGFHLAM6XJC7YQK/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":"2026-07-27T02:41:53Z","links":{"resolver":"https://pith.science/pith/XF73NSMCVZXPGFHLAM6XJC7YQK","bundle":"https://pith.science/pith/XF73NSMCVZXPGFHLAM6XJC7YQK/bundle.json","state":"https://pith.science/pith/XF73NSMCVZXPGFHLAM6XJC7YQK/state.json","well_known_bundle":"https://pith.science/.well-known/pith/XF73NSMCVZXPGFHLAM6XJC7YQK/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:XF73NSMCVZXPGFHLAM6XJC7YQK","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":"f3d1f31731a94dd510c416c090894b17fc45dae9a64d55eae7d8d07224d8480e","cross_cats_sorted":["cs.AI","cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2025-06-26T06:42:03Z","title_canon_sha256":"0767bf464e18d0fa4018923a84841a276a3926d8921a947bb09f240b0765b676"},"schema_version":"1.0","source":{"id":"2506.21041","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.21041","created_at":"2026-07-05T11:31:46Z"},{"alias_kind":"arxiv_version","alias_value":"2506.21041v2","created_at":"2026-07-05T11:31:46Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.21041","created_at":"2026-07-05T11:31:46Z"},{"alias_kind":"pith_short_12","alias_value":"XF73NSMCVZXP","created_at":"2026-07-05T11:31:46Z"},{"alias_kind":"pith_short_16","alias_value":"XF73NSMCVZXPGFHL","created_at":"2026-07-05T11:31:46Z"},{"alias_kind":"pith_short_8","alias_value":"XF73NSMC","created_at":"2026-07-05T11:31:46Z"}],"graph_snapshots":[{"event_id":"sha256:dc283eb210bc434798cfbedcb6345477fec833fd75f30d776cd5e2a70dab8466","target":"graph","created_at":"2026-07-05T11:31:46Z","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/2506.21041/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Autonomous driving technologies face significant safety challenges while operating under rare, diverse, and visually degraded weather scenarios. These challenges become more critical in cooperative settings, where vehicles and infrastructure jointly perceive and reason across complex environments. To address these issues, we propose SEAL, a vision-language model-based framework with adaptive multimodal learning for robust cooperative autonomous driving under long-tail scenarios. SEAL introduces three core innovations: (i) a prompt-driven long-tail scenario generation and evaluation pipeline th","authors_text":"Bin Ran, Haotian Shi, Junwei You, Pei Li, Rui Gan, Zhuoyu Jiang, Zilin Huang","cross_cats":["cs.AI","cs.CV"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2025-06-26T06:42:03Z","title":"SEAL: Vision-Language Model-Based Safe End-to-End Cooperative Autonomous Driving with Adaptive Long-Tail Modeling"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.21041","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":"sha256:4666f93e4e976629c324493fa64666de77e111bacfe0ed5f7db01170400146ca","target":"record","created_at":"2026-07-05T11:31:46Z","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":"f3d1f31731a94dd510c416c090894b17fc45dae9a64d55eae7d8d07224d8480e","cross_cats_sorted":["cs.AI","cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2025-06-26T06:42:03Z","title_canon_sha256":"0767bf464e18d0fa4018923a84841a276a3926d8921a947bb09f240b0765b676"},"schema_version":"1.0","source":{"id":"2506.21041","kind":"arxiv","version":2}},"canonical_sha256":"b97fb6c982ae6ef314eb033d748bf8828399ece3230b39becdeb8fb54277e58a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b97fb6c982ae6ef314eb033d748bf8828399ece3230b39becdeb8fb54277e58a","first_computed_at":"2026-07-05T11:31:46.824970Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:31:46.824970Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"OwokYAywkPB4Vi6/2XVD1kj5MgDqBIkILYkIYByho2W8ZDvRAHvJOV0NeM5H8Rr0I2StBa2hlBHxGGLru1uyAA==","signature_status":"signed_v1","signed_at":"2026-07-05T11:31:46.825601Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.21041","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4666f93e4e976629c324493fa64666de77e111bacfe0ed5f7db01170400146ca","sha256:dc283eb210bc434798cfbedcb6345477fec833fd75f30d776cd5e2a70dab8466"],"state_sha256":"b17394eb4773cd63c7b443309cb2d5550ba4bd9a8c316b84ee2645dd7f1e79f8"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ZDqLp9YwjPppSGWmceHhjirtXG58S+WrPyuuSAT6SGPHvHj1a9W3VSaiqRjm1cvqpGSZu3EB8fOGrBp3H95aDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-27T02:41:53.712641Z","bundle_sha256":"75984118a33184f4c30f4261f6fcf468555857f71868513a4f083a32ade69442"}}