{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:Q4ZU4BCAOVG34SCOQZQD4WHL44","short_pith_number":"pith:Q4ZU4BCA","schema_version":"1.0","canonical_sha256":"87334e0440754dbe484e86603e58ebe72b9e914de72f83be46b373f0e83952f8","source":{"kind":"arxiv","id":"2606.27779","version":1},"attestation_state":"computed","paper":{"title":"MindFlow: Harmonizing Cognitive Semantics and Acoustic Dynamics for Facial Animation Generation in Dyadic Conversations","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Haoxian Zhang, Hejia Chen, Pengfei Wan, Shoulong Zhang, Shuai Li, Xiaoqiang Liu, Xu He","submitted_at":"2026-06-26T07:11:10Z","abstract_excerpt":"Generating lifelike facial animation for dyadic conversations requires reconciling high-level cognitive intent with precise low-level motor reflexes, yet existing methods fall short in the semantic understanding of dialogue context and in precise dynamic control. In this paper, we propose MindFlow, a dual-pathway generative framework inspired by the Ventral-Dorsal pathway model in neuroscience, which decouples generation into two collaborative streams, thereby harmonizing deep semantic reasoning with fine-grained control. In the Ventral module, we transform the conventional Sentence-Action app"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2606.27779","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-26T07:11:10Z","cross_cats_sorted":[],"title_canon_sha256":"fab1d51cef16c3310590c3638535cdbac7aa7f39a2f77699bac563af8a20f581","abstract_canon_sha256":"711506467b0d54a412cd5cb53eaa32ad0e003c8130a7b985615ba4dcb65d65b4"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-29T01:14:48.139639Z","signature_b64":"X4tbzWEkOo26dPGXRJdg6k7wTeiPTZPfMzzKS+GImqVCrONKqkh75r43I1Mk37WL4CTn0di4KWqnzmD+XSwtDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"87334e0440754dbe484e86603e58ebe72b9e914de72f83be46b373f0e83952f8","last_reissued_at":"2026-06-29T01:14:48.139243Z","signature_status":"signed_v1","first_computed_at":"2026-06-29T01:14:48.139243Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"MindFlow: Harmonizing Cognitive Semantics and Acoustic Dynamics for Facial Animation Generation in Dyadic Conversations","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Haoxian Zhang, Hejia Chen, Pengfei Wan, Shoulong Zhang, Shuai Li, Xiaoqiang Liu, Xu He","submitted_at":"2026-06-26T07:11:10Z","abstract_excerpt":"Generating lifelike facial animation for dyadic conversations requires reconciling high-level cognitive intent with precise low-level motor reflexes, yet existing methods fall short in the semantic understanding of dialogue context and in precise dynamic control. In this paper, we propose MindFlow, a dual-pathway generative framework inspired by the Ventral-Dorsal pathway model in neuroscience, which decouples generation into two collaborative streams, thereby harmonizing deep semantic reasoning with fine-grained control. In the Ventral module, we transform the conventional Sentence-Action app"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.27779","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/2606.27779/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2606.27779","created_at":"2026-06-29T01:14:48.139303+00:00"},{"alias_kind":"arxiv_version","alias_value":"2606.27779v1","created_at":"2026-06-29T01:14:48.139303+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.27779","created_at":"2026-06-29T01:14:48.139303+00:00"},{"alias_kind":"pith_short_12","alias_value":"Q4ZU4BCAOVG3","created_at":"2026-06-29T01:14:48.139303+00:00"},{"alias_kind":"pith_short_16","alias_value":"Q4ZU4BCAOVG34SCO","created_at":"2026-06-29T01:14:48.139303+00:00"},{"alias_kind":"pith_short_8","alias_value":"Q4ZU4BCA","created_at":"2026-06-29T01:14:48.139303+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/Q4ZU4BCAOVG34SCOQZQD4WHL44","json":"https://pith.science/pith/Q4ZU4BCAOVG34SCOQZQD4WHL44.json","graph_json":"https://pith.science/api/pith-number/Q4ZU4BCAOVG34SCOQZQD4WHL44/graph.json","events_json":"https://pith.science/api/pith-number/Q4ZU4BCAOVG34SCOQZQD4WHL44/events.json","paper":"https://pith.science/paper/Q4ZU4BCA"},"agent_actions":{"view_html":"https://pith.science/pith/Q4ZU4BCAOVG34SCOQZQD4WHL44","download_json":"https://pith.science/pith/Q4ZU4BCAOVG34SCOQZQD4WHL44.json","view_paper":"https://pith.science/paper/Q4ZU4BCA","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2606.27779&json=true","fetch_graph":"https://pith.science/api/pith-number/Q4ZU4BCAOVG34SCOQZQD4WHL44/graph.json","fetch_events":"https://pith.science/api/pith-number/Q4ZU4BCAOVG34SCOQZQD4WHL44/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/Q4ZU4BCAOVG34SCOQZQD4WHL44/action/timestamp_anchor","attest_storage":"https://pith.science/pith/Q4ZU4BCAOVG34SCOQZQD4WHL44/action/storage_attestation","attest_author":"https://pith.science/pith/Q4ZU4BCAOVG34SCOQZQD4WHL44/action/author_attestation","sign_citation":"https://pith.science/pith/Q4ZU4BCAOVG34SCOQZQD4WHL44/action/citation_signature","submit_replication":"https://pith.science/pith/Q4ZU4BCAOVG34SCOQZQD4WHL44/action/replication_record"}},"created_at":"2026-06-29T01:14:48.139303+00:00","updated_at":"2026-06-29T01:14:48.139303+00:00"}