{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:74YJH6MBYGTDJ3DTOI6YBRC667","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":"c6948be3660e75cc7b64ff715a50051eb4780ad2e091b1abf2659034c4d8213d","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.MM","submitted_at":"2021-07-31T15:13:39Z","title_canon_sha256":"2075dd26748643b5b17ec173ace291536427d89bf1efbd8462a977b1a1a00620"},"schema_version":"1.0","source":{"id":"2108.00262","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2108.00262","created_at":"2026-07-05T09:39:17Z"},{"alias_kind":"arxiv_version","alias_value":"2108.00262v3","created_at":"2026-07-05T09:39:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2108.00262","created_at":"2026-07-05T09:39:17Z"},{"alias_kind":"pith_short_12","alias_value":"74YJH6MBYGTD","created_at":"2026-07-05T09:39:17Z"},{"alias_kind":"pith_short_16","alias_value":"74YJH6MBYGTDJ3DT","created_at":"2026-07-05T09:39:17Z"},{"alias_kind":"pith_short_8","alias_value":"74YJH6MB","created_at":"2026-07-05T09:39:17Z"}],"graph_snapshots":[{"event_id":"sha256:560e5426bfd6bea73ce6d2247630bd16066b768ad1446e18cd44aba55549fdae","target":"graph","created_at":"2026-07-05T09:39:17Z","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/2108.00262/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We present a generative adversarial network to synthesize 3D pose sequences of co-speech upper-body gestures with appropriate affective expressions. Our network consists of two components: a generator to synthesize gestures from a joint embedding space of features encoded from the input speech and the seed poses, and a discriminator to distinguish between the synthesized pose sequences and real 3D pose sequences. We leverage the Mel-frequency cepstral coefficients and the text transcript computed from the input speech in separate encoders in our generator to learn the desired sentiments and th","authors_text":"Dinesh Manocha, Elizabeth Childs, Nicholas Rewkowski, Uttaran Bhattacharya","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.MM","submitted_at":"2021-07-31T15:13:39Z","title":"Speech2AffectiveGestures: Synthesizing Co-Speech Gestures with Generative Adversarial Affective Expression Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2108.00262","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:a265e9422e3118b066ee3acd598d3ef70f0a9a771900adeb89f6b5f146d3f8ca","target":"record","created_at":"2026-07-05T09:39:17Z","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":"c6948be3660e75cc7b64ff715a50051eb4780ad2e091b1abf2659034c4d8213d","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.MM","submitted_at":"2021-07-31T15:13:39Z","title_canon_sha256":"2075dd26748643b5b17ec173ace291536427d89bf1efbd8462a977b1a1a00620"},"schema_version":"1.0","source":{"id":"2108.00262","kind":"arxiv","version":3}},"canonical_sha256":"ff3093f981c1a634ec73723d80c45ef7f90a8255e53fc60009198f3231b60051","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ff3093f981c1a634ec73723d80c45ef7f90a8255e53fc60009198f3231b60051","first_computed_at":"2026-07-05T09:39:17.509328Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:39:17.509328Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Stcwa+QTnPJkZO98W830sRHWzB8++HWswjJet5riIQA1xBd+4jmu1vDUOPDUTckH2Udz/B576MftYAqwq4UoAg==","signature_status":"signed_v1","signed_at":"2026-07-05T09:39:17.509907Z","signed_message":"canonical_sha256_bytes"},"source_id":"2108.00262","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a265e9422e3118b066ee3acd598d3ef70f0a9a771900adeb89f6b5f146d3f8ca","sha256:560e5426bfd6bea73ce6d2247630bd16066b768ad1446e18cd44aba55549fdae"],"state_sha256":"867291ffd208f019e7b1becc62b1c32e7e8551f6e2f047a16b9edcdfb9451155"}