{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:I3RFGSQJONLZ5A223LVV5KFIN7","short_pith_number":"pith:I3RFGSQJ","canonical_record":{"source":{"id":"2512.11446","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-12-12T10:33:17Z","cross_cats_sorted":[],"title_canon_sha256":"6d60949a50996b65e39464e07216cb654e9ee8146816ebacf8f2d158bcd8a3dc","abstract_canon_sha256":"91d187f9374bd688aa8d5f82b9af96bd32c0ed8a08e8557ca1d374cdfd33168d"},"schema_version":"1.0"},"canonical_sha256":"46e2534a0973579e835adaeb5ea8a86ff419d0d12e8143fe3a7c7917bf85c264","source":{"kind":"arxiv","id":"2512.11446","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2512.11446","created_at":"2026-05-20T00:05:39Z"},{"alias_kind":"arxiv_version","alias_value":"2512.11446v3","created_at":"2026-05-20T00:05:39Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2512.11446","created_at":"2026-05-20T00:05:39Z"},{"alias_kind":"pith_short_12","alias_value":"I3RFGSQJONLZ","created_at":"2026-05-20T00:05:39Z"},{"alias_kind":"pith_short_16","alias_value":"I3RFGSQJONLZ5A22","created_at":"2026-05-20T00:05:39Z"},{"alias_kind":"pith_short_8","alias_value":"I3RFGSQJ","created_at":"2026-05-20T00:05:39Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:I3RFGSQJONLZ5A223LVV5KFIN7","target":"record","payload":{"canonical_record":{"source":{"id":"2512.11446","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-12-12T10:33:17Z","cross_cats_sorted":[],"title_canon_sha256":"6d60949a50996b65e39464e07216cb654e9ee8146816ebacf8f2d158bcd8a3dc","abstract_canon_sha256":"91d187f9374bd688aa8d5f82b9af96bd32c0ed8a08e8557ca1d374cdfd33168d"},"schema_version":"1.0"},"canonical_sha256":"46e2534a0973579e835adaeb5ea8a86ff419d0d12e8143fe3a7c7917bf85c264","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-20T00:05:39.061598Z","signature_b64":"9TmFjLtOPnuv7SKHsgMh0RCMuaErXSv7xixDIzwoduE4/+5prT2w+NHam7esu0MwkAV56hUzsd7otkC62NXZAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"46e2534a0973579e835adaeb5ea8a86ff419d0d12e8143fe3a7c7917bf85c264","last_reissued_at":"2026-05-20T00:05:39.060746Z","signature_status":"signed_v1","first_computed_at":"2026-05-20T00:05:39.060746Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2512.11446","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":"2026-05-20T00:05:39Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"QH67KxprTqCu/kmmXGT7eTnlKXVrQGZrUTXcJ8EsTPHQSlFsESp2MKlOYwjgKmq62DUBG8JdLtu2OkHosv3TDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-10T20:35:03.232681Z"},"content_sha256":"479e19fb758f8be4df39a69317a3defbbf1f63627a4a7abad6c9e0da76b9d485","schema_version":"1.0","event_id":"sha256:479e19fb758f8be4df39a69317a3defbbf1f63627a4a7abad6c9e0da76b9d485"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:I3RFGSQJONLZ5A223LVV5KFIN7","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"YawDD+: Frame-level Annotations for Accurate Yawn Prediction","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Ahmed Mujtaba, Gleb Radchenko, Marc Masana, Radu Prodan","submitted_at":"2025-12-12T10:33:17Z","abstract_excerpt":"Driver fatigue remains a leading cause of road accidents, responsible for 24% of crashes. While yawning serves as an early behavioral indicator of fatigue, existing approaches face significant challenges due to the presence of systematic noise in video-annotated datasets arising from coarse temporal annotations. Training robust machine learning (ML) models requires rich supervisory labels that help learn salient features from the training data. Moreover, efficient on-device training and inference of models on edge devices is crucial in driver fatigue detection tasks to enable accurate real-tim"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2512.11446","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/2512.11446/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":"2026-05-20T00:05:39Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ut0znMmTZ2BBUZZ4bYYaz9BvM+4ZIBQNiVlAC+yhItfLcIUsfasw7lWU5QE3Qha1Y8cWfBpz2oX0ZQ8ZvP3jDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-10T20:35:03.233048Z"},"content_sha256":"471ff90ae914a6023c7e8cefd462bc39b8c31140506ce2b0b3307f8ccf3dff5b","schema_version":"1.0","event_id":"sha256:471ff90ae914a6023c7e8cefd462bc39b8c31140506ce2b0b3307f8ccf3dff5b"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/I3RFGSQJONLZ5A223LVV5KFIN7/bundle.json","state_url":"https://pith.science/pith/I3RFGSQJONLZ5A223LVV5KFIN7/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/I3RFGSQJONLZ5A223LVV5KFIN7/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":"2026-06-10T20:35:03Z","links":{"resolver":"https://pith.science/pith/I3RFGSQJONLZ5A223LVV5KFIN7","bundle":"https://pith.science/pith/I3RFGSQJONLZ5A223LVV5KFIN7/bundle.json","state":"https://pith.science/pith/I3RFGSQJONLZ5A223LVV5KFIN7/state.json","well_known_bundle":"https://pith.science/.well-known/pith/I3RFGSQJONLZ5A223LVV5KFIN7/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:I3RFGSQJONLZ5A223LVV5KFIN7","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":"91d187f9374bd688aa8d5f82b9af96bd32c0ed8a08e8557ca1d374cdfd33168d","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-12-12T10:33:17Z","title_canon_sha256":"6d60949a50996b65e39464e07216cb654e9ee8146816ebacf8f2d158bcd8a3dc"},"schema_version":"1.0","source":{"id":"2512.11446","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2512.11446","created_at":"2026-05-20T00:05:39Z"},{"alias_kind":"arxiv_version","alias_value":"2512.11446v3","created_at":"2026-05-20T00:05:39Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2512.11446","created_at":"2026-05-20T00:05:39Z"},{"alias_kind":"pith_short_12","alias_value":"I3RFGSQJONLZ","created_at":"2026-05-20T00:05:39Z"},{"alias_kind":"pith_short_16","alias_value":"I3RFGSQJONLZ5A22","created_at":"2026-05-20T00:05:39Z"},{"alias_kind":"pith_short_8","alias_value":"I3RFGSQJ","created_at":"2026-05-20T00:05:39Z"}],"graph_snapshots":[{"event_id":"sha256:471ff90ae914a6023c7e8cefd462bc39b8c31140506ce2b0b3307f8ccf3dff5b","target":"graph","created_at":"2026-05-20T00:05:39Z","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/2512.11446/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Driver fatigue remains a leading cause of road accidents, responsible for 24% of crashes. While yawning serves as an early behavioral indicator of fatigue, existing approaches face significant challenges due to the presence of systematic noise in video-annotated datasets arising from coarse temporal annotations. Training robust machine learning (ML) models requires rich supervisory labels that help learn salient features from the training data. Moreover, efficient on-device training and inference of models on edge devices is crucial in driver fatigue detection tasks to enable accurate real-tim","authors_text":"Ahmed Mujtaba, Gleb Radchenko, Marc Masana, Radu Prodan","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-12-12T10:33:17Z","title":"YawDD+: Frame-level Annotations for Accurate Yawn Prediction"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2512.11446","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":"sha256:479e19fb758f8be4df39a69317a3defbbf1f63627a4a7abad6c9e0da76b9d485","target":"record","created_at":"2026-05-20T00:05:39Z","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":"91d187f9374bd688aa8d5f82b9af96bd32c0ed8a08e8557ca1d374cdfd33168d","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-12-12T10:33:17Z","title_canon_sha256":"6d60949a50996b65e39464e07216cb654e9ee8146816ebacf8f2d158bcd8a3dc"},"schema_version":"1.0","source":{"id":"2512.11446","kind":"arxiv","version":3}},"canonical_sha256":"46e2534a0973579e835adaeb5ea8a86ff419d0d12e8143fe3a7c7917bf85c264","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"46e2534a0973579e835adaeb5ea8a86ff419d0d12e8143fe3a7c7917bf85c264","first_computed_at":"2026-05-20T00:05:39.060746Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-20T00:05:39.060746Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"9TmFjLtOPnuv7SKHsgMh0RCMuaErXSv7xixDIzwoduE4/+5prT2w+NHam7esu0MwkAV56hUzsd7otkC62NXZAw==","signature_status":"signed_v1","signed_at":"2026-05-20T00:05:39.061598Z","signed_message":"canonical_sha256_bytes"},"source_id":"2512.11446","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:479e19fb758f8be4df39a69317a3defbbf1f63627a4a7abad6c9e0da76b9d485","sha256:471ff90ae914a6023c7e8cefd462bc39b8c31140506ce2b0b3307f8ccf3dff5b"],"state_sha256":"f022044ad094eed95266cab36374e16e39708130a4ada507a230fd3ab331b8c6"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"IUnr96aL1JP8Nt0gZnu8yXMRaak6ABVIihcLnXWFVrM7+7N4DF7TWjy5a5dj219NVNr/kDAqOPDInzZ9loHIBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-10T20:35:03.235028Z","bundle_sha256":"360a8127a7ea05ffc843d8a530e2a8efc1f8bfbb8f124c4cc1d1ff9eee2003fd"}}