{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:AUPXFN5TXSLVZSY7AAOWOI6T4B","short_pith_number":"pith:AUPXFN5T","canonical_record":{"source":{"id":"2505.07084","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.RO","submitted_at":"2025-05-11T18:14:33Z","cross_cats_sorted":[],"title_canon_sha256":"66c1211f28704ff7e361aea1be4385bcd5dbee6109a4d09ceef216219e40fc0f","abstract_canon_sha256":"0289d2d8c12aa13c2ead98e2e742e431f18bcfc40eeddc4933f972851c8977a2"},"schema_version":"1.0"},"canonical_sha256":"051f72b7b3bc975ccb1f001d6723d3e0531ecb17a80cd70e028874e6fe4a8a93","source":{"kind":"arxiv","id":"2505.07084","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.07084","created_at":"2026-07-05T12:09:17Z"},{"alias_kind":"arxiv_version","alias_value":"2505.07084v3","created_at":"2026-07-05T12:09:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.07084","created_at":"2026-07-05T12:09:17Z"},{"alias_kind":"pith_short_12","alias_value":"AUPXFN5TXSLV","created_at":"2026-07-05T12:09:17Z"},{"alias_kind":"pith_short_16","alias_value":"AUPXFN5TXSLVZSY7","created_at":"2026-07-05T12:09:17Z"},{"alias_kind":"pith_short_8","alias_value":"AUPXFN5T","created_at":"2026-07-05T12:09:17Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:AUPXFN5TXSLVZSY7AAOWOI6T4B","target":"record","payload":{"canonical_record":{"source":{"id":"2505.07084","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.RO","submitted_at":"2025-05-11T18:14:33Z","cross_cats_sorted":[],"title_canon_sha256":"66c1211f28704ff7e361aea1be4385bcd5dbee6109a4d09ceef216219e40fc0f","abstract_canon_sha256":"0289d2d8c12aa13c2ead98e2e742e431f18bcfc40eeddc4933f972851c8977a2"},"schema_version":"1.0"},"canonical_sha256":"051f72b7b3bc975ccb1f001d6723d3e0531ecb17a80cd70e028874e6fe4a8a93","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T12:09:17.511932Z","signature_b64":"shUfPENKAEXrlnufV3KbjZkMjHFROBA1GguMKPpE7aOi2k/6F4azvAFQg1sDHfwm/65ztnOWB+10G2piHA9TCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"051f72b7b3bc975ccb1f001d6723d3e0531ecb17a80cd70e028874e6fe4a8a93","last_reissued_at":"2026-07-05T12:09:17.511441Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T12:09:17.511441Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2505.07084","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T12:09:17Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"URLCFdWFPNcQXxiORnpbtvBEmQ0oJRweIiwsBofZ7CaQd7Sb4TDjIi4dhCn+UYXpwyZ2TJ9qLdU1jMsyIX22Ag==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-17T09:14:35.829336Z"},"content_sha256":"a5c94e66d740d8845fbb7003b15ea49cd8018e12fb1f2f258704e8bf395b080e","schema_version":"1.0","event_id":"sha256:a5c94e66d740d8845fbb7003b15ea49cd8018e12fb1f2f258704e8bf395b080e"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:AUPXFN5TXSLVZSY7AAOWOI6T4B","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"DriveSOTIF: Advancing Perception SOTIF Through Multimodal Large Language Models","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.RO","authors_text":"Amir Khajepour, Chen Sun, Freda Shi, Hong Wang, Jiaming Zhong, Minghao Ning, Shucheng Huang, Yufeng Yang, Yukun Lu","submitted_at":"2025-05-11T18:14:33Z","abstract_excerpt":"Human drivers possess spatial and causal intelligence, enabling them to perceive driving scenarios, anticipate hazards, and react to dynamic environments. In contrast, autonomous vehicles lack these abilities, making it challenging to manage perception-related Safety of the Intended Functionality (SOTIF) risks, especially under complex or unpredictable driving conditions. To address this gap, we propose fine-tuning multimodal large language models (MLLMs) on a customized dataset specifically designed to capture perception-related SOTIF scenarios. Benchmarking results show that fine-tuned MLLMs"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.07084","kind":"arxiv","version":3},"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/2505.07084/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":"2026-07-05T12:09:17Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"qt+Ik1NiHsGoSujFBgyV06J4gjBbocNT8KdeMzewONtHBK/Qm7KOfZ9Q3Vfq2v5EMx7qmsZyFuMV2zj/t5trCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-17T09:14:35.830174Z"},"content_sha256":"a3793bb62f7bda1c03051dc6ba18a06f4d54fb93205b18b0d08c90093790d0bb","schema_version":"1.0","event_id":"sha256:a3793bb62f7bda1c03051dc6ba18a06f4d54fb93205b18b0d08c90093790d0bb"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/AUPXFN5TXSLVZSY7AAOWOI6T4B/bundle.json","state_url":"https://pith.science/pith/AUPXFN5TXSLVZSY7AAOWOI6T4B/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/AUPXFN5TXSLVZSY7AAOWOI6T4B/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":"2026-08-17T09:14:35Z","links":{"resolver":"https://pith.science/pith/AUPXFN5TXSLVZSY7AAOWOI6T4B","bundle":"https://pith.science/pith/AUPXFN5TXSLVZSY7AAOWOI6T4B/bundle.json","state":"https://pith.science/pith/AUPXFN5TXSLVZSY7AAOWOI6T4B/state.json","well_known_bundle":"https://pith.science/.well-known/pith/AUPXFN5TXSLVZSY7AAOWOI6T4B/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:AUPXFN5TXSLVZSY7AAOWOI6T4B","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":"0289d2d8c12aa13c2ead98e2e742e431f18bcfc40eeddc4933f972851c8977a2","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.RO","submitted_at":"2025-05-11T18:14:33Z","title_canon_sha256":"66c1211f28704ff7e361aea1be4385bcd5dbee6109a4d09ceef216219e40fc0f"},"schema_version":"1.0","source":{"id":"2505.07084","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.07084","created_at":"2026-07-05T12:09:17Z"},{"alias_kind":"arxiv_version","alias_value":"2505.07084v3","created_at":"2026-07-05T12:09:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.07084","created_at":"2026-07-05T12:09:17Z"},{"alias_kind":"pith_short_12","alias_value":"AUPXFN5TXSLV","created_at":"2026-07-05T12:09:17Z"},{"alias_kind":"pith_short_16","alias_value":"AUPXFN5TXSLVZSY7","created_at":"2026-07-05T12:09:17Z"},{"alias_kind":"pith_short_8","alias_value":"AUPXFN5T","created_at":"2026-07-05T12:09:17Z"}],"graph_snapshots":[{"event_id":"sha256:a3793bb62f7bda1c03051dc6ba18a06f4d54fb93205b18b0d08c90093790d0bb","target":"graph","created_at":"2026-07-05T12:09:17Z","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/2505.07084/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Human drivers possess spatial and causal intelligence, enabling them to perceive driving scenarios, anticipate hazards, and react to dynamic environments. In contrast, autonomous vehicles lack these abilities, making it challenging to manage perception-related Safety of the Intended Functionality (SOTIF) risks, especially under complex or unpredictable driving conditions. To address this gap, we propose fine-tuning multimodal large language models (MLLMs) on a customized dataset specifically designed to capture perception-related SOTIF scenarios. Benchmarking results show that fine-tuned MLLMs","authors_text":"Amir Khajepour, Chen Sun, Freda Shi, Hong Wang, Jiaming Zhong, Minghao Ning, Shucheng Huang, Yufeng Yang, Yukun Lu","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.RO","submitted_at":"2025-05-11T18:14:33Z","title":"DriveSOTIF: Advancing Perception SOTIF Through Multimodal Large Language Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.07084","kind":"arxiv","version":3},"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:a5c94e66d740d8845fbb7003b15ea49cd8018e12fb1f2f258704e8bf395b080e","target":"record","created_at":"2026-07-05T12:09:17Z","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":"0289d2d8c12aa13c2ead98e2e742e431f18bcfc40eeddc4933f972851c8977a2","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.RO","submitted_at":"2025-05-11T18:14:33Z","title_canon_sha256":"66c1211f28704ff7e361aea1be4385bcd5dbee6109a4d09ceef216219e40fc0f"},"schema_version":"1.0","source":{"id":"2505.07084","kind":"arxiv","version":3}},"canonical_sha256":"051f72b7b3bc975ccb1f001d6723d3e0531ecb17a80cd70e028874e6fe4a8a93","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"051f72b7b3bc975ccb1f001d6723d3e0531ecb17a80cd70e028874e6fe4a8a93","first_computed_at":"2026-07-05T12:09:17.511441Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T12:09:17.511441Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"shUfPENKAEXrlnufV3KbjZkMjHFROBA1GguMKPpE7aOi2k/6F4azvAFQg1sDHfwm/65ztnOWB+10G2piHA9TCg==","signature_status":"signed_v1","signed_at":"2026-07-05T12:09:17.511932Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.07084","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a5c94e66d740d8845fbb7003b15ea49cd8018e12fb1f2f258704e8bf395b080e","sha256:a3793bb62f7bda1c03051dc6ba18a06f4d54fb93205b18b0d08c90093790d0bb"],"state_sha256":"12a4dea50b176c611c02ba87bd9fd28dadf0521eb5214539d339a7c8251497e8"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"G8akk5h2eeRm7SL5pyAs5ySXUnQ0rMObvHXKBLJiUetzPyJ0FuiU/YuH6TSzuurRVYd2Wu9iXc9L8dCmzIuKDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-17T09:14:35.835658Z","bundle_sha256":"d7918711ef0d36ca156e0cb6bf4720cd303bebc4d0b086f352676ce9f77af9ed"}}