Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-05T11:55:00.168970Z
Paper Citation Record · LEDGER
As of 15 August 2026, this Paper Citation Record lists 61 of 61 outbound references and 0 inbound Pith citation observations for arXiv:2509.02141.
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 2026-08-05T11:55:00.168970Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
61 of 61 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation ad6d3378-be33-4c64-8476-aeb30b940ab0 · outbound
GRMM: Real-Time High-Fidelity Gaussian Morphable Head Model with Learned Residuals Principal component analysis
Reference 1
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GRMM: Real-Time High-Fidelity Gaussian Morphable Head Model with Learned Residuals A 3d morphable model learnt from 10,000 faces
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GRMM: Real-Time High-Fidelity Gaussian Morphable Head Model with Learned Residuals How far are we from solving the 2d & 3d face alignment problem? (and a dataset of 230,000 3d facial landmarks)
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GRMM: Real-Time High-Fidelity Gaussian Morphable Head Model with Learned Residuals Emoca: Emotion driven monocular face capture and animation
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Source-reported events for the cited work
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GRMM: Real-Time High-Fidelity Gaussian Morphable Head Model with Learned Residuals Learning an animatable detailed 3d face model from in-the- wild images
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Source-reported events for the cited work
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GRMM: Real-Time High-Fidelity Gaussian Morphable Head Model with Learned Residuals 3d gaussian splatting for real-time radiance field rendering
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Source-reported events for the cited work
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GRMM: Real-Time High-Fidelity Gaussian Morphable Head Model with Learned Residuals Sapiens: Foundation for Human Vision Models
Reference 16
Source-reported events for the cited work
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GRMM: Real-Time High-Fidelity Gaussian Morphable Head Model with Learned Residuals Deep video portraits
Reference 17
Source-reported events for the cited work
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Reference 18
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Reference 21
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GRMM: Real-Time High-Fidelity Gaussian Morphable Head Model with Learned Residuals The ryer- son audio-visual database of emotional speech and song (ravdess): A dynamic, multimodal set of facial and vocal expressions in north american english
Reference 22
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Reference 23
Source-reported events for the cited work
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Reference 24
Source-reported events for the cited work
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GRMM: Real-Time High-Fidelity Gaussian Morphable Head Model with Learned Residuals Renderme-360: A large dig- ital asset library and benchmarks towards high-fidelity head avatars
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GRMM: Real-Time High-Fidelity Gaussian Morphable Head Model with Learned Residuals Ash: Animatable gaussian splats for efficient and photoreal human rendering, 2024
Reference 26
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Reference 27
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GRMM: Real-Time High-Fidelity Gaussian Morphable Head Model with Learned Residuals Vhap: Versatile head alignment with adaptive appearance priors, 2024
Reference 28
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GRMM: Real-Time High-Fidelity Gaussian Morphable Head Model with Learned Residuals Unresolved cited work
Reference 29
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Reference 30
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Source-reported events for the cited work
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GRMM: Real-Time High-Fidelity Gaussian Morphable Head Model with Learned Residuals Relightable gaussian codec avatars,
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GRMM: Real-Time High-Fidelity Gaussian Morphable Head Model with Learned Residuals Very deep convo- lutional networks for large-scale image recognition, 2015
Reference 33
Source-reported events for the cited work
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GRMM: Real-Time High-Fidelity Gaussian Morphable Head Model with Learned Residuals Gaus- sianheads: End-to-end learning of drivable gaussian head avatars from coarse-to-fine representations
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GRMM: Real-Time High-Fidelity Gaussian Morphable Head Model with Learned Residuals Face2face: Real-time face capture and reenactment of rgb videos
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Reference 38
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GRMM: Real-Time High-Fidelity Gaussian Morphable Head Model with Learned Residuals Towards high- fidelity nonlinear 3d face morphable model, 2019
Reference 39
Source-reported events for the cited work
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Reference 40
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GRMM: Real-Time High-Fidelity Gaussian Morphable Head Model with Learned Residuals V oge: A differentiable volume renderer using gaussian ellipsoids for analysis-by-synthesis
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Reference 42
Source-reported events for the cited work
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GRMM: Real-Time High-Fidelity Gaussian Morphable Head Model with Learned Residuals Faceverse: a fine-grained and detail- controllable 3d face morphable model from a hybrid dataset
Reference 43
Source-reported events for the cited work
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Reference 44
Source-reported events for the cited work
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GRMM: Real-Time High-Fidelity Gaussian Morphable Head Model with Learned Residuals 3d gaussian parametric head model
Reference 45
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GRMM: Real-Time High-Fidelity Gaussian Morphable Head Model with Learned Residuals Facescape: a large-scale high quality 3d face dataset and detailed riggable 3d face pre- diction
Reference 46
Source-reported events for the cited work
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GRMM: Real-Time High-Fidelity Gaussian Morphable Head Model with Learned Residuals i3dmm: Deep implicit 3d morphable model of human heads
Reference 47
Source-reported events for the cited work
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GRMM: Real-Time High-Fidelity Gaussian Morphable Head Model with Learned Residuals RaDe-GS: Rasterizing Depth in Gaussian Splatting
Reference 48
Source-reported events for the cited work
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Reference 49
Source-reported events for the cited work
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Reference 50
Source-reported events for the cited work
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Reference 52
Source-reported events for the cited work
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GRMM: Real-Time High-Fidelity Gaussian Morphable Head Model with Learned Residuals Their combination enables robust learning of geometry, appearance, and expression disentanglement
Reference 53
Source-reported events for the cited work
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Observation c5f1a49d-cc7d-47a9-ae41-6a3293321ea0 · outbound
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Reference 54
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Observation 854cec6b-19aa-4948-b95c-6c54da344c93 · outbound
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Reference 55
Source-reported events for the cited work
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GRMM: Real-Time High-Fidelity Gaussian Morphable Head Model with Learned Residuals Each trial pre- sented three images: a frontal reference (ground truth) on the left and two novel-view renderings from the two meth- ods, labeled A and B
Reference 56
Source-reported events for the cited work
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Observation e5bc8649-6005-4f76-8ee6-26bfe7254346 · outbound
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Source-reported events for the cited work
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Observation e6fd22e1-b21c-43f3-b12f-9ec3a9680661 · outbound
GRMM: Real-Time High-Fidelity Gaussian Morphable Head Model with Learned Residuals No Mesh Decoder
Reference 58
Source-reported events for the cited work
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Observation f2ca217c-2250-4eda-bf8b-f39c9945318c · outbound
GRMM: Real-Time High-Fidelity Gaussian Morphable Head Model with Learned Residuals The model is trained for 250,000 iterations with a batch size of 1 on four NVIDIA A100 GPUs
Reference 59
Source-reported events for the cited work
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Observation 9a0d5503-5c45-4fff-88f1-cef5f7d6fa8f · outbound
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Reference 60
Source-reported events for the cited work
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Observation 2fd2a2a8-2616-41e6-a354-93faef92ccbf · outbound
GRMM: Real-Time High-Fidelity Gaussian Morphable Head Model with Learned Residuals Unresolved cited work
Reference 61
Source-reported events for the cited work
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No inbound Pith citation observations are available.