{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:BJHGDIGS6CPY2NRYA56LQ6USGV","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":"c0c64eb33024c963bef14d84e52eb80afbea750eafeb32f65d5b974c59248a92","cross_cats_sorted":["cs.AI","eess.AS"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SD","submitted_at":"2024-09-29T01:02:01Z","title_canon_sha256":"91bd08e204234ad397a6c0eb12ca910a94a1dbb1e79c59342f1bd810998efbed"},"schema_version":"1.0","source":{"id":"2409.19501","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2409.19501","created_at":"2026-07-05T09:13:16Z"},{"alias_kind":"arxiv_version","alias_value":"2409.19501v1","created_at":"2026-07-05T09:13:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2409.19501","created_at":"2026-07-05T09:13:16Z"},{"alias_kind":"pith_short_12","alias_value":"BJHGDIGS6CPY","created_at":"2026-07-05T09:13:16Z"},{"alias_kind":"pith_short_16","alias_value":"BJHGDIGS6CPY2NRY","created_at":"2026-07-05T09:13:16Z"},{"alias_kind":"pith_short_8","alias_value":"BJHGDIGS","created_at":"2026-07-05T09:13:16Z"}],"graph_snapshots":[{"event_id":"sha256:2ad081aba634cfbcce5e3729acff3b9a5fd9549b2db3346e207390f468e889d3","target":"graph","created_at":"2026-07-05T09:13:16Z","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/2409.19501/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Human emotional expression is inherently dynamic, complex, and fluid, characterized by smooth transitions in intensity throughout verbal communication. However, the modeling of such intensity fluctuations has been largely overlooked by previous audio-driven talking-head generation methods, which often results in static emotional outputs. In this paper, we explore how emotion intensity fluctuates during speech, proposing a method for capturing and generating these subtle shifts for talking-head generation. Specifically, we develop a talking-head framework that is capable of generating a variety","authors_text":"Dimitris Samaras, Hieu Le, Jingyi Xu, Yang Wang, Yi-Hsuan Tsai, Zhixin Shu","cross_cats":["cs.AI","eess.AS"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SD","submitted_at":"2024-09-29T01:02:01Z","title":"Learning Frame-Wise Emotion Intensity for Audio-Driven Talking-Head Generation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2409.19501","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:c231b46a665319bf0a19aa1cbd24ec0feb4f89dc1a9b64972718f5b3ea0a48a9","target":"record","created_at":"2026-07-05T09:13:16Z","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":"c0c64eb33024c963bef14d84e52eb80afbea750eafeb32f65d5b974c59248a92","cross_cats_sorted":["cs.AI","eess.AS"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SD","submitted_at":"2024-09-29T01:02:01Z","title_canon_sha256":"91bd08e204234ad397a6c0eb12ca910a94a1dbb1e79c59342f1bd810998efbed"},"schema_version":"1.0","source":{"id":"2409.19501","kind":"arxiv","version":1}},"canonical_sha256":"0a4e61a0d2f09f8d3638077cb87a9235455ea605fe5de4809e19726493b004ca","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0a4e61a0d2f09f8d3638077cb87a9235455ea605fe5de4809e19726493b004ca","first_computed_at":"2026-07-05T09:13:16.353173Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:13:16.353173Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"QoPs2mccJNeOcIjnR2x4kzDiYM7O4hHjWBtASMbfjzliPynqnuAT2YusmilL0m4CjkU+1IRnZNEOM5gOG1npBg==","signature_status":"signed_v1","signed_at":"2026-07-05T09:13:16.353659Z","signed_message":"canonical_sha256_bytes"},"source_id":"2409.19501","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c231b46a665319bf0a19aa1cbd24ec0feb4f89dc1a9b64972718f5b3ea0a48a9","sha256:2ad081aba634cfbcce5e3729acff3b9a5fd9549b2db3346e207390f468e889d3"],"state_sha256":"75fea88c0a0a3c5dc33c66229a9556b191eb2ed35b955e89ce1edb63bb218aac"}