Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-15T17:24:39.806529Z
Paper Citation Record · LEDGER
As of 16 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 1 inbound Pith citation observation for arXiv:2508.12438.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-15T17:24:39.806529Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-05-16T22:46:51.954117Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-16T22:48:38.154699Z
48 of 48 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 7c4be775-75c7-4c92-9413-bbc7aace2a3d · outbound
Express4D: Expressive, Friendly, and Extensible 4D Facial Motion Generation Benchmark https://www.metahuman.com/ en-US?lang=en-US
Reference 1
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Observation aa661dc9-8640-4eed-9135-580e7a2cfca4 · outbound
Express4D: Expressive, Friendly, and Extensible 4D Facial Motion Generation Benchmark GPT-4 Technical Report
Reference 2
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Observation 20825932-18cd-4390-8ac8-13eda5feeb96 · outbound
Express4D: Expressive, Friendly, and Extensible 4D Facial Motion Generation Benchmark Detecting deep-fake videos from phoneme- viseme mismatches
Reference 3
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Observation 1d6c3876-0886-4ede-b753-3223ba06207f · outbound
Express4D: Expressive, Friendly, and Extensible 4D Facial Motion Generation Benchmark Claude 3
Reference 4
Source-reported events for the cited work
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Express4D: Expressive, Friendly, and Extensible 4D Facial Motion Generation Benchmark ARKit — apple developer documen- tation
Reference 5
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Observation 3f61061d-cb80-44f9-90c0-d35ec169e0b2 · outbound
Express4D: Expressive, Friendly, and Extensible 4D Facial Motion Generation Benchmark Live link face
Reference 6
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Observation 374a809f-e7f4-472c-bd72-801913f41794 · outbound
Express4D: Expressive, Friendly, and Extensible 4D Facial Motion Generation Benchmark A morphable model for the synthesis of 3d faces
Reference 7
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Express4D: Expressive, Friendly, and Extensible 4D Facial Motion Generation Benchmark Align your latents: High-resolution video synthesis with la- tent diffusion models
Reference 8
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Observation 32018ff8-76c6-45d0-a839-54a197da9292 · outbound
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Reference 9
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Express4D: Expressive, Friendly, and Extensible 4D Facial Motion Generation Benchmark Lan- guage models are few-shot learners
Reference 10
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Observation 52ea2eb7-b419-44ee-91b9-05d35abb1344 · outbound
Express4D: Expressive, Friendly, and Extensible 4D Facial Motion Generation Benchmark 4dfab: A large scale 4d database for facial ex- pression analysis and biometric applications
Reference 11
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Observation 0d129c03-26f8-42d9-a373-acca0ff17a53 · outbound
Express4D: Expressive, Friendly, and Extensible 4D Facial Motion Generation Benchmark A facs valid 3d dynamic action unit database with applications to 3d dynamic morphable facial modeling
Reference 12
Source-reported events for the cited work
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Observation 02d36d20-d0ad-42ac-9422-e77fc94cd1f1 · outbound
Express4D: Expressive, Friendly, and Extensible 4D Facial Motion Generation Benchmark Capture, learning, and synthesis of 3D speaking styles
Reference 13
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Observation 3f70d34e-c072-419e-89d8-50ada5c24bdc · outbound
Express4D: Expressive, Friendly, and Extensible 4D Facial Motion Generation Benchmark 3d morphable face models—past, present, and future
Reference 14
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Express4D: Expressive, Friendly, and Extensible 4D Facial Motion Generation Benchmark Facial action coding system
Reference 15
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Observation 3a6e9e1a-ae54-423b-a784-99f5f21c1066 · outbound
Express4D: Expressive, Friendly, and Extensible 4D Facial Motion Generation Benchmark Faceformer: Speech-driven 3d facial anima- tion with transformers
Reference 16
Source-reported events for the cited work
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Observation d5047f57-051e-4470-a494-db03972b66bd · outbound
Express4D: Expressive, Friendly, and Extensible 4D Facial Motion Generation Benchmark Text-based editing of talking-head video
Reference 17
Source-reported events for the cited work
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Observation c9f61106-9ee8-4f94-87ad-71eee781bf28 · outbound
Express4D: Expressive, Friendly, and Extensible 4D Facial Motion Generation Benchmark Bermano, Gal Chechik, and Daniel Cohen-Or
Reference 18
Source-reported events for the cited work
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Express4D: Expressive, Friendly, and Extensible 4D Facial Motion Generation Benchmark Gemini 2.5 technical overview
Reference 19
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Observation ca274bbe-2834-45cf-805b-214549f14e57 · outbound
Express4D: Expressive, Friendly, and Extensible 4D Facial Motion Generation Benchmark Generating diverse and natural 3d human motions from text
Reference 20
Source-reported events for the cited work
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Observation caaadfcd-4fdb-4657-81d7-1f515865ee43 · outbound
Express4D: Expressive, Friendly, and Extensible 4D Facial Motion Generation Benchmark Momask: Generative masked model- ing of 3d human motions
Reference 21
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Express4D: Expressive, Friendly, and Extensible 4D Facial Motion Generation Benchmark Denoising Diffusion Probabilistic Models
Reference 22
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Observation e198a876-8840-46ab-a819-5bf594707c08 · outbound
Express4D: Expressive, Friendly, and Extensible 4D Facial Motion Generation Benchmark Let’s face it: Influence of facial expressions on social presence in collaborative virtual real- ity
Reference 23
Source-reported events for the cited work
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Observation 3622d02a-b49e-4548-98db-65c2a9bb7df1 · outbound
Express4D: Expressive, Friendly, and Extensible 4D Facial Motion Generation Benchmark Fakeout: Leveraging out-of-domain self- supervision for multi-modal video deepfake detection
Reference 24
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Observation 4f3087ba-22bf-4398-a0b4-3cce0bc8cb6b · outbound
Express4D: Expressive, Friendly, and Extensible 4D Facial Motion Generation Benchmark Unresolved cited work
Reference 25
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Observation 508f0bb2-b890-4859-9322-ed130f62568d · outbound
Express4D: Expressive, Friendly, and Extensible 4D Facial Motion Generation Benchmark Unresolved cited work
Reference 26
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Observation 6c6e128e-98dd-475d-a20d-7e3ffe67e123 · outbound
Express4D: Expressive, Friendly, and Extensible 4D Facial Motion Generation Benchmark Latte: La- tent diffusion transformer for video generation.Transactions on Machine Learning Research, 2025
Reference 27
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Observation 00ab718e-1ea1-4db6-b7e7-f25a1590a902 · outbound
Express4D: Expressive, Friendly, and Extensible 4D Facial Motion Generation Benchmark The uncanny valley
Reference 28
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Observation 048d5965-46d0-44b3-b1fa-ac19408d6d66 · outbound
Express4D: Expressive, Friendly, and Extensible 4D Facial Motion Generation Benchmark Emotalk: Speech-driven emotional disentanglement for 3d face anima- tion
Reference 29
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Observation d4af6ab0-bcc2-494d-9b56-99ef8ace2063 · outbound
Express4D: Expressive, Friendly, and Extensible 4D Facial Motion Generation Benchmark Principi, S
Reference 30
Source-reported events for the cited work
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Express4D: Expressive, Friendly, and Extensible 4D Facial Motion Generation Benchmark Monkey see, monkey do: Harnessing self- attention in motion diffusion for zero-shot motion transfer
Reference 31
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Observation dd9eb7e4-0e5e-4fc6-bd55-839ad66dc8d2 · outbound
Express4D: Expressive, Friendly, and Extensible 4D Facial Motion Generation Benchmark Unresolved cited work
Reference 32
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Observation 09f52bc3-9065-4615-8a1e-d2c138dcf27b · outbound
Express4D: Expressive, Friendly, and Extensible 4D Facial Motion Generation Benchmark High-resolution image syn- thesis with latent diffusion models, 2021
Reference 33
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Express4D: Expressive, Friendly, and Extensible 4D Facial Motion Generation Benchmark Deep image fingerprint: To- wards low budget synthetic image detection and model lin- eage analysis
Reference 34
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Express4D: Expressive, Friendly, and Extensible 4D Facial Motion Generation Benchmark Consistency Models
Reference 35
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Express4D: Expressive, Friendly, and Extensible 4D Facial Motion Generation Benchmark Human motion diffu- sion model
Reference 36
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Express4D: Expressive, Friendly, and Extensible 4D Facial Motion Generation Benchmark Imitator: Personalized speech-driven 3d facial animation
Reference 37
Source-reported events for the cited work
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Express4D: Expressive, Friendly, and Extensible 4D Facial Motion Generation Benchmark Audio2head: Audio-driven one-shot talking-head generation with natural head motion
Reference 38
Source-reported events for the cited work
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Express4D: Expressive, Friendly, and Extensible 4D Facial Motion Generation Benchmark MMFace4D: A Large-Scale Multi-Modal 4D Face Dataset for Audio-Driven 3D Face Animation
Reference 39
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Reference 40
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Express4D: Expressive, Friendly, and Extensible 4D Facial Motion Generation Benchmark Codetalker: Speech-driven 3d facial animation with discrete motion prior
Reference 41
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Express4D: Expressive, Friendly, and Extensible 4D Facial Motion Generation Benchmark Iterative text-based editing of talking-heads using neural retargeting
Reference 42
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Express4D: Expressive, Friendly, and Extensible 4D Facial Motion Generation Benchmark Generating holistic 3d human motion from speech
Reference 43
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Reference 44
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Reference 45
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Reference 46
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Reference 47
Source-reported events for the cited work
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Reference 48
Source-reported events for the cited work
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Observation e78fe670-2602-45e0-9aea-0113f834cfb4 · inbound
KeyframeFace: Language-Driven Facial Animation via Semantic Keyframes Express4D: Expressive, Friendly, and Extensible 4D Facial Motion Generation Benchmark
Reference 49
Source-reported events for the cited work
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