{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:NKWS5R7HKBHNVFEOWULIO3WZNU","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":"a919c6de36bc6225ab1650b3218036acaa619784e631a08a2679b3f99e80aecc","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-06-20T12:32:47Z","title_canon_sha256":"806098542e4317d54ff1de308f0221f8b7a475d6b9e9640eb74aca38e602efa1"},"schema_version":"1.0","source":{"id":"2306.11496","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2306.11496","created_at":"2026-07-05T06:22:20Z"},{"alias_kind":"arxiv_version","alias_value":"2306.11496v1","created_at":"2026-07-05T06:22:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2306.11496","created_at":"2026-07-05T06:22:20Z"},{"alias_kind":"pith_short_12","alias_value":"NKWS5R7HKBHN","created_at":"2026-07-05T06:22:20Z"},{"alias_kind":"pith_short_16","alias_value":"NKWS5R7HKBHNVFEO","created_at":"2026-07-05T06:22:20Z"},{"alias_kind":"pith_short_8","alias_value":"NKWS5R7H","created_at":"2026-07-05T06:22:20Z"}],"graph_snapshots":[{"event_id":"sha256:9e7734ae3dddc938cc32478b78ab25d5fd498d0d29de6531c9c2d966a82c1b71","target":"graph","created_at":"2026-07-05T06:22:20Z","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/2306.11496/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Although previous co-speech gesture generation methods are able to synthesize motions in line with speech content, it is still not enough to handle diverse and complicated motion distribution. The key challenges are: 1) the one-to-many nature between the speech content and gestures; 2) the correlation modeling between the body joints. In this paper, we present a novel framework (EMoG) to tackle the above challenges with denoising diffusion models: 1) To alleviate the one-to-many problem, we incorporate emotion clues to guide the generation process, making the generation much easier; 2) To mode","authors_text":"Bohan Li, Jianxin Lin, Jinming Liu, Lianying Yin, Tianyu He, Wei Zhao, Xin Jin, Yijun Wang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-06-20T12:32:47Z","title":"EMoG: Synthesizing Emotive Co-speech 3D Gesture with Diffusion Model"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2306.11496","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":"sha256:1f69214d18e04a8f434a7f869e177159b393d4920fba800e8fec92fecf10d459","target":"record","created_at":"2026-07-05T06:22:20Z","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":"a919c6de36bc6225ab1650b3218036acaa619784e631a08a2679b3f99e80aecc","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-06-20T12:32:47Z","title_canon_sha256":"806098542e4317d54ff1de308f0221f8b7a475d6b9e9640eb74aca38e602efa1"},"schema_version":"1.0","source":{"id":"2306.11496","kind":"arxiv","version":1}},"canonical_sha256":"6aad2ec7e7504eda948eb516876ed96d229bc40e4e305a8b7c4958749b6df966","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6aad2ec7e7504eda948eb516876ed96d229bc40e4e305a8b7c4958749b6df966","first_computed_at":"2026-07-05T06:22:20.435207Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:22:20.435207Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Y3IeBEZqHDz5sAg78+mCh/LiMA+H20ejaatlu4qpGBIucAkGA17vXtPEKLEL32KQMWStGXDZwApA+KYPSMZWCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T06:22:20.435627Z","signed_message":"canonical_sha256_bytes"},"source_id":"2306.11496","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1f69214d18e04a8f434a7f869e177159b393d4920fba800e8fec92fecf10d459","sha256:9e7734ae3dddc938cc32478b78ab25d5fd498d0d29de6531c9c2d966a82c1b71"],"state_sha256":"d75fba7e4ab11f542d7176e0338e59a68dad6d747fe5e8c62f668390782d53ab"}