{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:BGRHSQODP36CHYWMUEJFHLS76B","short_pith_number":"pith:BGRHSQOD","canonical_record":{"source":{"id":"2412.20148","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-12-28T13:23:31Z","cross_cats_sorted":["cs.HC"],"title_canon_sha256":"1b34389e1aea7b0740fb8900d4e3c10b54e25532db077f070b14445b4f12b230","abstract_canon_sha256":"2bb375a497c47edcc7c7976324306465bb5c17fc5665ec2a19cc90ade1de6e23"},"schema_version":"1.0"},"canonical_sha256":"09a27941c37efc23e2cca11253ae5ff07f2e13eebb8bb7195d68cdf68068e253","source":{"kind":"arxiv","id":"2412.20148","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.20148","created_at":"2026-07-05T09:54:55Z"},{"alias_kind":"arxiv_version","alias_value":"2412.20148v1","created_at":"2026-07-05T09:54:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.20148","created_at":"2026-07-05T09:54:55Z"},{"alias_kind":"pith_short_12","alias_value":"BGRHSQODP36C","created_at":"2026-07-05T09:54:55Z"},{"alias_kind":"pith_short_16","alias_value":"BGRHSQODP36CHYWM","created_at":"2026-07-05T09:54:55Z"},{"alias_kind":"pith_short_8","alias_value":"BGRHSQOD","created_at":"2026-07-05T09:54:55Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:BGRHSQODP36CHYWMUEJFHLS76B","target":"record","payload":{"canonical_record":{"source":{"id":"2412.20148","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-12-28T13:23:31Z","cross_cats_sorted":["cs.HC"],"title_canon_sha256":"1b34389e1aea7b0740fb8900d4e3c10b54e25532db077f070b14445b4f12b230","abstract_canon_sha256":"2bb375a497c47edcc7c7976324306465bb5c17fc5665ec2a19cc90ade1de6e23"},"schema_version":"1.0"},"canonical_sha256":"09a27941c37efc23e2cca11253ae5ff07f2e13eebb8bb7195d68cdf68068e253","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:54:55.115860Z","signature_b64":"k//vL/Pnl7eMcIfKUdWsIvlSQK0RWbPXcrewsP4NeV58BQgCW2d/XI4LMLF5JFaAvtUSuBcshceLP2cnGoVWBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"09a27941c37efc23e2cca11253ae5ff07f2e13eebb8bb7195d68cdf68068e253","last_reissued_at":"2026-07-05T09:54:55.115392Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:54:55.115392Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2412.20148","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":"2026-07-05T09:54:55Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3ewnfAIRGHQCFGfvADe9oZDBPlaiV801YqrZAXQyHPU97AC6B7M4b+esVKP8qgAb7NzyJ7dNN+D/AhcffJ0dCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T15:37:07.370888Z"},"content_sha256":"399cadaaf1d5846a2040548e11e1bda5d8c614d45ff67f788e9de2eada6600c8","schema_version":"1.0","event_id":"sha256:399cadaaf1d5846a2040548e11e1bda5d8c614d45ff67f788e9de2eada6600c8"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:BGRHSQODP36CHYWMUEJFHLS76B","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"DEGSTalk: Decomposed Per-Embedding Gaussian Fields for Hair-Preserving Talking Face Synthesis","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.HC"],"primary_cat":"cs.CV","authors_text":"Dezhi Zheng, Jinbao Wang, Jindong Xie, Kaijun Deng, Linlin Shen, Siyang Song, Weicheng Xie","submitted_at":"2024-12-28T13:23:31Z","abstract_excerpt":"Accurately synthesizing talking face videos and capturing fine facial features for individuals with long hair presents a significant challenge. To tackle these challenges in existing methods, we propose a decomposed per-embedding Gaussian fields (DEGSTalk), a 3D Gaussian Splatting (3DGS)-based talking face synthesis method for generating realistic talking faces with long hairs. Our DEGSTalk employs Deformable Pre-Embedding Gaussian Fields, which dynamically adjust pre-embedding Gaussian primitives using implicit expression coefficients. This enables precise capture of dynamic facial regions an"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.20148","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/2412.20148/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":"2026-07-05T09:54:55Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"kyXfdx3Tvx+vhyPaI1JS0XnqYM5pklzxZmiZpV50pSmY2ZNuEXr/8SZxsDJYutci2Tv+FC59Humq3SWuD7N3Cg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T15:37:07.371263Z"},"content_sha256":"743a2bf1da7da63a226ac98823e78d8e26e5c888ac18e7f4c507bbd95acaf81f","schema_version":"1.0","event_id":"sha256:743a2bf1da7da63a226ac98823e78d8e26e5c888ac18e7f4c507bbd95acaf81f"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/BGRHSQODP36CHYWMUEJFHLS76B/bundle.json","state_url":"https://pith.science/pith/BGRHSQODP36CHYWMUEJFHLS76B/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/BGRHSQODP36CHYWMUEJFHLS76B/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":"2026-07-07T15:37:07Z","links":{"resolver":"https://pith.science/pith/BGRHSQODP36CHYWMUEJFHLS76B","bundle":"https://pith.science/pith/BGRHSQODP36CHYWMUEJFHLS76B/bundle.json","state":"https://pith.science/pith/BGRHSQODP36CHYWMUEJFHLS76B/state.json","well_known_bundle":"https://pith.science/.well-known/pith/BGRHSQODP36CHYWMUEJFHLS76B/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:BGRHSQODP36CHYWMUEJFHLS76B","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":"2bb375a497c47edcc7c7976324306465bb5c17fc5665ec2a19cc90ade1de6e23","cross_cats_sorted":["cs.HC"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-12-28T13:23:31Z","title_canon_sha256":"1b34389e1aea7b0740fb8900d4e3c10b54e25532db077f070b14445b4f12b230"},"schema_version":"1.0","source":{"id":"2412.20148","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.20148","created_at":"2026-07-05T09:54:55Z"},{"alias_kind":"arxiv_version","alias_value":"2412.20148v1","created_at":"2026-07-05T09:54:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.20148","created_at":"2026-07-05T09:54:55Z"},{"alias_kind":"pith_short_12","alias_value":"BGRHSQODP36C","created_at":"2026-07-05T09:54:55Z"},{"alias_kind":"pith_short_16","alias_value":"BGRHSQODP36CHYWM","created_at":"2026-07-05T09:54:55Z"},{"alias_kind":"pith_short_8","alias_value":"BGRHSQOD","created_at":"2026-07-05T09:54:55Z"}],"graph_snapshots":[{"event_id":"sha256:743a2bf1da7da63a226ac98823e78d8e26e5c888ac18e7f4c507bbd95acaf81f","target":"graph","created_at":"2026-07-05T09:54:55Z","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/2412.20148/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Accurately synthesizing talking face videos and capturing fine facial features for individuals with long hair presents a significant challenge. To tackle these challenges in existing methods, we propose a decomposed per-embedding Gaussian fields (DEGSTalk), a 3D Gaussian Splatting (3DGS)-based talking face synthesis method for generating realistic talking faces with long hairs. Our DEGSTalk employs Deformable Pre-Embedding Gaussian Fields, which dynamically adjust pre-embedding Gaussian primitives using implicit expression coefficients. This enables precise capture of dynamic facial regions an","authors_text":"Dezhi Zheng, Jinbao Wang, Jindong Xie, Kaijun Deng, Linlin Shen, Siyang Song, Weicheng Xie","cross_cats":["cs.HC"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-12-28T13:23:31Z","title":"DEGSTalk: Decomposed Per-Embedding Gaussian Fields for Hair-Preserving Talking Face Synthesis"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.20148","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":"sha256:399cadaaf1d5846a2040548e11e1bda5d8c614d45ff67f788e9de2eada6600c8","target":"record","created_at":"2026-07-05T09:54:55Z","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":"2bb375a497c47edcc7c7976324306465bb5c17fc5665ec2a19cc90ade1de6e23","cross_cats_sorted":["cs.HC"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-12-28T13:23:31Z","title_canon_sha256":"1b34389e1aea7b0740fb8900d4e3c10b54e25532db077f070b14445b4f12b230"},"schema_version":"1.0","source":{"id":"2412.20148","kind":"arxiv","version":1}},"canonical_sha256":"09a27941c37efc23e2cca11253ae5ff07f2e13eebb8bb7195d68cdf68068e253","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"09a27941c37efc23e2cca11253ae5ff07f2e13eebb8bb7195d68cdf68068e253","first_computed_at":"2026-07-05T09:54:55.115392Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:54:55.115392Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"k//vL/Pnl7eMcIfKUdWsIvlSQK0RWbPXcrewsP4NeV58BQgCW2d/XI4LMLF5JFaAvtUSuBcshceLP2cnGoVWBg==","signature_status":"signed_v1","signed_at":"2026-07-05T09:54:55.115860Z","signed_message":"canonical_sha256_bytes"},"source_id":"2412.20148","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:399cadaaf1d5846a2040548e11e1bda5d8c614d45ff67f788e9de2eada6600c8","sha256:743a2bf1da7da63a226ac98823e78d8e26e5c888ac18e7f4c507bbd95acaf81f"],"state_sha256":"fb6b6448719e039d97598dc02eda177cdbb74963b3eb36068537a3b5d116b3d7"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"J5wMCsqlgEQLu75FM1fdw261ju84deKxi1qHbCbGDSPYRxsXUDqhmmADQBkwQPUUvjJG+wHJ9gUeqSXI42lSCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T15:37:07.373288Z","bundle_sha256":"0531c84681a6471d20a042cffa65bbf73b96017b19aba6c78d5aa7065793ab20"}}