{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:S3ITURIT6YUMS7IV6MOEY32O2G","short_pith_number":"pith:S3ITURIT","canonical_record":{"source":{"id":"2608.00663","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2026-08-01T13:33:38Z","cross_cats_sorted":[],"title_canon_sha256":"92d56a0e79f19ff4c6f3c650d5f147460a2b772b78ffc67e30292a563a964133","abstract_canon_sha256":"96bd8c51781271bb82dd2d2939ea4726da8def6ac6e8424ed759bd02d2d15474"},"schema_version":"1.0"},"canonical_sha256":"96d13a4513f628c97d15f31c4c6f4ed180e04a062a3281469444e8ef358ee617","source":{"kind":"arxiv","id":"2608.00663","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2608.00663","created_at":"2026-08-04T00:38:59Z"},{"alias_kind":"arxiv_version","alias_value":"2608.00663v1","created_at":"2026-08-04T00:38:59Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2608.00663","created_at":"2026-08-04T00:38:59Z"},{"alias_kind":"pith_short_12","alias_value":"S3ITURIT6YUM","created_at":"2026-08-04T00:38:59Z"},{"alias_kind":"pith_short_16","alias_value":"S3ITURIT6YUMS7IV","created_at":"2026-08-04T00:38:59Z"},{"alias_kind":"pith_short_8","alias_value":"S3ITURIT","created_at":"2026-08-04T00:38:59Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:S3ITURIT6YUMS7IV6MOEY32O2G","target":"record","payload":{"canonical_record":{"source":{"id":"2608.00663","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2026-08-01T13:33:38Z","cross_cats_sorted":[],"title_canon_sha256":"92d56a0e79f19ff4c6f3c650d5f147460a2b772b78ffc67e30292a563a964133","abstract_canon_sha256":"96bd8c51781271bb82dd2d2939ea4726da8def6ac6e8424ed759bd02d2d15474"},"schema_version":"1.0"},"canonical_sha256":"96d13a4513f628c97d15f31c4c6f4ed180e04a062a3281469444e8ef358ee617","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-08-04T00:38:59.505194Z","signature_b64":"+03QtGlOTefvMPvIkRwMru+rfUQgxbvp17Oplad4E+qNBwIy6HANoIBzcS2Vil2RAajJEVs4TcQbSVPtqEERDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"96d13a4513f628c97d15f31c4c6f4ed180e04a062a3281469444e8ef358ee617","last_reissued_at":"2026-08-04T00:38:59.503676Z","signature_status":"signed_v1","first_computed_at":"2026-08-04T00:38:59.503676Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2608.00663","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-08-04T00:38:59Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"LXvDsMk0h3Ljc8qn3v84V4151B1hL+d07dkL4XZpNk1dNS82heJZUjwg48l1QYLC/BPDJVx5Y4G8+VzebbKOAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T09:00:53.787932Z"},"content_sha256":"5696ea732c1ae184015ef7b8855a7ada8c11b8b66937677401def54a30fc3732","schema_version":"1.0","event_id":"sha256:5696ea732c1ae184015ef7b8855a7ada8c11b8b66937677401def54a30fc3732"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:S3ITURIT6YUMS7IV6MOEY32O2G","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Geometry-guided Emotion Modulation for Controllable and Photorealistic Emotional Talking Face Generation","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Chenggong Hu, Jie Song, Li Sun, Mingli Song, Shaoyin Ma, Yi Wang","submitted_at":"2026-08-01T13:33:38Z","abstract_excerpt":"Audio-driven emotional talking face generation aims to synthesize realistic videos with expressive facial dynamics. However, existing methods struggle to balance controllability and visual fidelity. Although implicit representations capture rich semantics, they lack structural guidance, often resulting in averaged emotional expressions. In contrast, explicit geometric methods offer better control over facial expressions but tend to sacrifice high-frequency texture details. To address it, we propose GemTalk, a diffusion-based framework that combines the semantic richness of implicit representat"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2608.00663","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/2608.00663/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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-08-04T00:38:59Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"pvvQ4CFn5XyFdnHSQ1exoCHfaq68mR9IPQPEN8K+aV3d9eXo3NP8m8OchMW5mqvc959noaCwrnW0JRc2ErEUDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T09:00:53.788435Z"},"content_sha256":"a1c2071c89452816ebb4a8dc0385b3331ead016b7d942d3a45057e1620cbc4cb","schema_version":"1.0","event_id":"sha256:a1c2071c89452816ebb4a8dc0385b3331ead016b7d942d3a45057e1620cbc4cb"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/S3ITURIT6YUMS7IV6MOEY32O2G/bundle.json","state_url":"https://pith.science/pith/S3ITURIT6YUMS7IV6MOEY32O2G/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/S3ITURIT6YUMS7IV6MOEY32O2G/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-05T09:00:53Z","links":{"resolver":"https://pith.science/pith/S3ITURIT6YUMS7IV6MOEY32O2G","bundle":"https://pith.science/pith/S3ITURIT6YUMS7IV6MOEY32O2G/bundle.json","state":"https://pith.science/pith/S3ITURIT6YUMS7IV6MOEY32O2G/state.json","well_known_bundle":"https://pith.science/.well-known/pith/S3ITURIT6YUMS7IV6MOEY32O2G/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:S3ITURIT6YUMS7IV6MOEY32O2G","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":"96bd8c51781271bb82dd2d2939ea4726da8def6ac6e8424ed759bd02d2d15474","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2026-08-01T13:33:38Z","title_canon_sha256":"92d56a0e79f19ff4c6f3c650d5f147460a2b772b78ffc67e30292a563a964133"},"schema_version":"1.0","source":{"id":"2608.00663","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2608.00663","created_at":"2026-08-04T00:38:59Z"},{"alias_kind":"arxiv_version","alias_value":"2608.00663v1","created_at":"2026-08-04T00:38:59Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2608.00663","created_at":"2026-08-04T00:38:59Z"},{"alias_kind":"pith_short_12","alias_value":"S3ITURIT6YUM","created_at":"2026-08-04T00:38:59Z"},{"alias_kind":"pith_short_16","alias_value":"S3ITURIT6YUMS7IV","created_at":"2026-08-04T00:38:59Z"},{"alias_kind":"pith_short_8","alias_value":"S3ITURIT","created_at":"2026-08-04T00:38:59Z"}],"graph_snapshots":[{"event_id":"sha256:a1c2071c89452816ebb4a8dc0385b3331ead016b7d942d3a45057e1620cbc4cb","target":"graph","created_at":"2026-08-04T00:38:59Z","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/2608.00663/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Audio-driven emotional talking face generation aims to synthesize realistic videos with expressive facial dynamics. However, existing methods struggle to balance controllability and visual fidelity. Although implicit representations capture rich semantics, they lack structural guidance, often resulting in averaged emotional expressions. In contrast, explicit geometric methods offer better control over facial expressions but tend to sacrifice high-frequency texture details. To address it, we propose GemTalk, a diffusion-based framework that combines the semantic richness of implicit representat","authors_text":"Chenggong Hu, Jie Song, Li Sun, Mingli Song, Shaoyin Ma, Yi Wang","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2026-08-01T13:33:38Z","title":"Geometry-guided Emotion Modulation for Controllable and Photorealistic Emotional Talking Face Generation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2608.00663","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":"sha256:5696ea732c1ae184015ef7b8855a7ada8c11b8b66937677401def54a30fc3732","target":"record","created_at":"2026-08-04T00:38:59Z","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":"96bd8c51781271bb82dd2d2939ea4726da8def6ac6e8424ed759bd02d2d15474","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2026-08-01T13:33:38Z","title_canon_sha256":"92d56a0e79f19ff4c6f3c650d5f147460a2b772b78ffc67e30292a563a964133"},"schema_version":"1.0","source":{"id":"2608.00663","kind":"arxiv","version":1}},"canonical_sha256":"96d13a4513f628c97d15f31c4c6f4ed180e04a062a3281469444e8ef358ee617","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"96d13a4513f628c97d15f31c4c6f4ed180e04a062a3281469444e8ef358ee617","first_computed_at":"2026-08-04T00:38:59.503676Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-08-04T00:38:59.503676Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"+03QtGlOTefvMPvIkRwMru+rfUQgxbvp17Oplad4E+qNBwIy6HANoIBzcS2Vil2RAajJEVs4TcQbSVPtqEERDA==","signature_status":"signed_v1","signed_at":"2026-08-04T00:38:59.505194Z","signed_message":"canonical_sha256_bytes"},"source_id":"2608.00663","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5696ea732c1ae184015ef7b8855a7ada8c11b8b66937677401def54a30fc3732","sha256:a1c2071c89452816ebb4a8dc0385b3331ead016b7d942d3a45057e1620cbc4cb"],"state_sha256":"527a78c8f8b0f5cfa6ad6a846e553c92b7f92b0c1d73d67221062fb5c0a24bd9"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"i2l07z7Ss2JmQOxNAAkh+LtvOjnWB7L0jNVrqrEjJfjODz05qcLwaGelAkLKzh+WklwUz3Hhoi0L0YjZ8qZhDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-05T09:00:53.791669Z","bundle_sha256":"a0bedee31c5d41496f19de1d49be1b70ea7d33229b0b02790f1b3ef44940d016"}}