{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:UJUEFIXWCX66F5EUPLO2QMEFUN","short_pith_number":"pith:UJUEFIXW","canonical_record":{"source":{"id":"2504.02264","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-04-03T04:23:27Z","cross_cats_sorted":[],"title_canon_sha256":"fe8ccc3952935bcfb82bc192e5b231e3c6b00455312ff6bebe4ce6b21d9afd74","abstract_canon_sha256":"e13686dd48ca1fc4d57ecf964b9e2d7e68429976224c8bed59ca99c8eff50489"},"schema_version":"1.0"},"canonical_sha256":"a26842a2f615fde2f4947adda83085a370b27e3064634014a67724e19599b6f2","source":{"kind":"arxiv","id":"2504.02264","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2504.02264","created_at":"2026-07-05T10:43:53Z"},{"alias_kind":"arxiv_version","alias_value":"2504.02264v1","created_at":"2026-07-05T10:43:53Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2504.02264","created_at":"2026-07-05T10:43:53Z"},{"alias_kind":"pith_short_12","alias_value":"UJUEFIXWCX66","created_at":"2026-07-05T10:43:53Z"},{"alias_kind":"pith_short_16","alias_value":"UJUEFIXWCX66F5EU","created_at":"2026-07-05T10:43:53Z"},{"alias_kind":"pith_short_8","alias_value":"UJUEFIXW","created_at":"2026-07-05T10:43:53Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:UJUEFIXWCX66F5EUPLO2QMEFUN","target":"record","payload":{"canonical_record":{"source":{"id":"2504.02264","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-04-03T04:23:27Z","cross_cats_sorted":[],"title_canon_sha256":"fe8ccc3952935bcfb82bc192e5b231e3c6b00455312ff6bebe4ce6b21d9afd74","abstract_canon_sha256":"e13686dd48ca1fc4d57ecf964b9e2d7e68429976224c8bed59ca99c8eff50489"},"schema_version":"1.0"},"canonical_sha256":"a26842a2f615fde2f4947adda83085a370b27e3064634014a67724e19599b6f2","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:43:53.798465Z","signature_b64":"CgztdhSX5tXu1CeJK72wsHVY+FXNpK0KgFTGPrDYucOvPi4CXV7R8MCD3WFBNrplTKy1hYu3MWmLHCNpA8E/DQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a26842a2f615fde2f4947adda83085a370b27e3064634014a67724e19599b6f2","last_reissued_at":"2026-07-05T10:43:53.797963Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:43:53.797963Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2504.02264","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T10:43:53Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"H1JqrY4Gpd3OQXrKYEmMWE2bvW9uoo2Ev2rguQszZzIWRf83ZamGd8pWrLMbj+DIs2+E6ut6Qlqf/GAz0977Bg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-08T17:24:07.639822Z"},"content_sha256":"1fb7b00872fefc356ec721dd9bff859e14807a515399a8e7f15f91c0f6f31b78","schema_version":"1.0","event_id":"sha256:1fb7b00872fefc356ec721dd9bff859e14807a515399a8e7f15f91c0f6f31b78"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:UJUEFIXWCX66F5EUPLO2QMEFUN","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"MMTL-UniAD: A Unified Framework for Multimodal and Multi-Task Learning in Assistive Driving Perception","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Huaping Liu, Huiming Yang, Jiayin Zhu, Lening Wang, Pengfei Li, Qiannan Guo, Tiao Tan, Wenshuo Wang, Wenzhuo Liu, Yicheng Qiao, Zhiwei Li, Zilong Chen","submitted_at":"2025-04-03T04:23:27Z","abstract_excerpt":"Advanced driver assistance systems require a comprehensive understanding of the driver's mental/physical state and traffic context but existing works often neglect the potential benefits of joint learning between these tasks. This paper proposes MMTL-UniAD, a unified multi-modal multi-task learning framework that simultaneously recognizes driver behavior (e.g., looking around, talking), driver emotion (e.g., anxiety, happiness), vehicle behavior (e.g., parking, turning), and traffic context (e.g., traffic jam, traffic smooth). A key challenge is avoiding negative transfer between tasks, which "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2504.02264","kind":"arxiv","version":1},"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/2504.02264/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":"2026-07-05T10:43:53Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xLYjFSCxgwgAbTe3rWVSK1DgjgZjuy/7GSOu2SpE0HQA+5447WgjI+1dl7m7EIoKfXGKlIgbcIIUJgwSBinQDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-08T17:24:07.640181Z"},"content_sha256":"249dc9d8b5ef40bb9179dd1ade0e2fb52a91ffc60e1b32c0877f37289d34c073","schema_version":"1.0","event_id":"sha256:249dc9d8b5ef40bb9179dd1ade0e2fb52a91ffc60e1b32c0877f37289d34c073"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/UJUEFIXWCX66F5EUPLO2QMEFUN/bundle.json","state_url":"https://pith.science/pith/UJUEFIXWCX66F5EUPLO2QMEFUN/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/UJUEFIXWCX66F5EUPLO2QMEFUN/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":"2026-07-08T17:24:07Z","links":{"resolver":"https://pith.science/pith/UJUEFIXWCX66F5EUPLO2QMEFUN","bundle":"https://pith.science/pith/UJUEFIXWCX66F5EUPLO2QMEFUN/bundle.json","state":"https://pith.science/pith/UJUEFIXWCX66F5EUPLO2QMEFUN/state.json","well_known_bundle":"https://pith.science/.well-known/pith/UJUEFIXWCX66F5EUPLO2QMEFUN/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:UJUEFIXWCX66F5EUPLO2QMEFUN","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":"e13686dd48ca1fc4d57ecf964b9e2d7e68429976224c8bed59ca99c8eff50489","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-04-03T04:23:27Z","title_canon_sha256":"fe8ccc3952935bcfb82bc192e5b231e3c6b00455312ff6bebe4ce6b21d9afd74"},"schema_version":"1.0","source":{"id":"2504.02264","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2504.02264","created_at":"2026-07-05T10:43:53Z"},{"alias_kind":"arxiv_version","alias_value":"2504.02264v1","created_at":"2026-07-05T10:43:53Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2504.02264","created_at":"2026-07-05T10:43:53Z"},{"alias_kind":"pith_short_12","alias_value":"UJUEFIXWCX66","created_at":"2026-07-05T10:43:53Z"},{"alias_kind":"pith_short_16","alias_value":"UJUEFIXWCX66F5EU","created_at":"2026-07-05T10:43:53Z"},{"alias_kind":"pith_short_8","alias_value":"UJUEFIXW","created_at":"2026-07-05T10:43:53Z"}],"graph_snapshots":[{"event_id":"sha256:249dc9d8b5ef40bb9179dd1ade0e2fb52a91ffc60e1b32c0877f37289d34c073","target":"graph","created_at":"2026-07-05T10:43:53Z","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/2504.02264/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Advanced driver assistance systems require a comprehensive understanding of the driver's mental/physical state and traffic context but existing works often neglect the potential benefits of joint learning between these tasks. This paper proposes MMTL-UniAD, a unified multi-modal multi-task learning framework that simultaneously recognizes driver behavior (e.g., looking around, talking), driver emotion (e.g., anxiety, happiness), vehicle behavior (e.g., parking, turning), and traffic context (e.g., traffic jam, traffic smooth). A key challenge is avoiding negative transfer between tasks, which ","authors_text":"Huaping Liu, Huiming Yang, Jiayin Zhu, Lening Wang, Pengfei Li, Qiannan Guo, Tiao Tan, Wenshuo Wang, Wenzhuo Liu, Yicheng Qiao, Zhiwei Li, Zilong Chen","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-04-03T04:23:27Z","title":"MMTL-UniAD: A Unified Framework for Multimodal and Multi-Task Learning in Assistive Driving Perception"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2504.02264","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":"sha256:1fb7b00872fefc356ec721dd9bff859e14807a515399a8e7f15f91c0f6f31b78","target":"record","created_at":"2026-07-05T10:43:53Z","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":"e13686dd48ca1fc4d57ecf964b9e2d7e68429976224c8bed59ca99c8eff50489","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-04-03T04:23:27Z","title_canon_sha256":"fe8ccc3952935bcfb82bc192e5b231e3c6b00455312ff6bebe4ce6b21d9afd74"},"schema_version":"1.0","source":{"id":"2504.02264","kind":"arxiv","version":1}},"canonical_sha256":"a26842a2f615fde2f4947adda83085a370b27e3064634014a67724e19599b6f2","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a26842a2f615fde2f4947adda83085a370b27e3064634014a67724e19599b6f2","first_computed_at":"2026-07-05T10:43:53.797963Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:43:53.797963Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"CgztdhSX5tXu1CeJK72wsHVY+FXNpK0KgFTGPrDYucOvPi4CXV7R8MCD3WFBNrplTKy1hYu3MWmLHCNpA8E/DQ==","signature_status":"signed_v1","signed_at":"2026-07-05T10:43:53.798465Z","signed_message":"canonical_sha256_bytes"},"source_id":"2504.02264","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1fb7b00872fefc356ec721dd9bff859e14807a515399a8e7f15f91c0f6f31b78","sha256:249dc9d8b5ef40bb9179dd1ade0e2fb52a91ffc60e1b32c0877f37289d34c073"],"state_sha256":"40f549adcc614cd5bdf2a9febfb333eed804902dce9e92963b5671d735dc299d"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"gsuUiZ/RBMLV+KUgalQwokmFY1ip8tApqVlToHwTGBJiLrv8UcrC8E9n+W8DPukD5vVHC/CobJSC3TW1ys8KAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-08T17:24:07.642194Z","bundle_sha256":"cb18de521cc3842b170103a60922df405ae06b49d6b648cd52b24a3c1edfc912"}}