{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:7KPSYXHXQBOBZQEM225DTBT74D","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":"7ab9fbc866ba606be531740a6b1f8b3dae82e59497d311a9c172ad2c1282f7b8","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.MM","submitted_at":"2025-02-28T09:01:30Z","title_canon_sha256":"18cd4670c5a9238037dda68c3d22eea77b1dc172d0173cd1d7665baacb9de6c8"},"schema_version":"1.0","source":{"id":"2502.20858","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.20858","created_at":"2026-07-05T10:21:41Z"},{"alias_kind":"arxiv_version","alias_value":"2502.20858v1","created_at":"2026-07-05T10:21:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.20858","created_at":"2026-07-05T10:21:41Z"},{"alias_kind":"pith_short_12","alias_value":"7KPSYXHXQBOB","created_at":"2026-07-05T10:21:41Z"},{"alias_kind":"pith_short_16","alias_value":"7KPSYXHXQBOBZQEM","created_at":"2026-07-05T10:21:41Z"},{"alias_kind":"pith_short_8","alias_value":"7KPSYXHX","created_at":"2026-07-05T10:21:41Z"}],"graph_snapshots":[{"event_id":"sha256:36baf6d1605a24468c9613e16699aef0a16228b9b2d30a0dc7d6c1090b673ac7","target":"graph","created_at":"2026-07-05T10:21:41Z","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/2502.20858/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Imitating how humans move their gaze in a visual scene is a vital research problem for both visual understanding and psychology, kindling crucial applications such as building alive virtual characters. Previous studies aim to predict gaze trajectories when humans are free-viewing an image, searching for required targets, or looking for clues to answer questions in an image. While these tasks focus on visual-centric scenarios, humans move their gaze also along with audio signal inputs in more common scenarios. To fill this gap, we introduce a new task that predicts human gaze trajectories in a ","authors_text":"Denghao Zhang, Hao Sun, Ruihua Song, Xiaochuan Liu, Xiaoxue Wu, Xin Cheng, Yuchong Sun","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.MM","submitted_at":"2025-02-28T09:01:30Z","title":"EyEar: Learning Audio Synchronized Human Gaze Trajectory Based on Physics-Informed Dynamics"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.20858","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":"sha256:56ba6a9de28e94ba862e8d1ee07dd526508cb9f58ac34f6d393cd292e92896e9","target":"record","created_at":"2026-07-05T10:21:41Z","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":"7ab9fbc866ba606be531740a6b1f8b3dae82e59497d311a9c172ad2c1282f7b8","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.MM","submitted_at":"2025-02-28T09:01:30Z","title_canon_sha256":"18cd4670c5a9238037dda68c3d22eea77b1dc172d0173cd1d7665baacb9de6c8"},"schema_version":"1.0","source":{"id":"2502.20858","kind":"arxiv","version":1}},"canonical_sha256":"fa9f2c5cf7805c1cc08cd6ba39867fe0edd09e230563cbc25f399ba840206e7d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"fa9f2c5cf7805c1cc08cd6ba39867fe0edd09e230563cbc25f399ba840206e7d","first_computed_at":"2026-07-05T10:21:41.250063Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:21:41.250063Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"R40WdtHN4b7wvjE5cYoFVsT370z+/v/Xhqo16nvHDknGK33njf23vWtaj1LFJ1MirNBY/sn5OSdrwnXyCKHmBw==","signature_status":"signed_v1","signed_at":"2026-07-05T10:21:41.250578Z","signed_message":"canonical_sha256_bytes"},"source_id":"2502.20858","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:56ba6a9de28e94ba862e8d1ee07dd526508cb9f58ac34f6d393cd292e92896e9","sha256:36baf6d1605a24468c9613e16699aef0a16228b9b2d30a0dc7d6c1090b673ac7"],"state_sha256":"0f8963c38a1f41d7fed5befc0ccd002eb3985476d15ce833eb7582c735d0ff3b"}