Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T21:23:38.641345Z
Paper Citation Record · LEDGER
As of 21 August 2026, this Paper Citation Record lists 73 of 73 outbound references and 0 inbound Pith citation observations for arXiv:2507.00447.
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 2026-08-06T21:23:38.641345Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+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
73 of 73 outbound references displayed
External citation measurements
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Observation 3b9d99e3-2624-48fc-b89b-79c2367a82bf · outbound
Latent Posterior-Mean Rectified Flow for Higher-Fidelity Perceptual Face Restoration Build- ing normalizing flows with stochastic interpolants
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Latent Posterior-Mean Rectified Flow for Higher-Fidelity Perceptual Face Restoration Arcface: Additive angular margin loss for deep face recognition
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Latent Posterior-Mean Rectified Flow for Higher-Fidelity Perceptual Face Restoration Diffusion models beat gans on image synthesis
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Latent Posterior-Mean Rectified Flow for Higher-Fidelity Perceptual Face Restoration Learning a deep convolutional network for image super-resolution
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Latent Posterior-Mean Rectified Flow for Higher-Fidelity Perceptual Face Restoration A theory of the distortion-perception tradeoff in wasserstein space
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Latent Posterior-Mean Rectified Flow for Higher-Fidelity Perceptual Face Restoration Lumina-t2x: Scalable flow- based large diffusion transformer for flexible resolution gen- eration
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Latent Posterior-Mean Rectified Flow for Higher-Fidelity Perceptual Face Restoration Generative adversarial networks
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Observation 90e50947-2ac5-4fd1-8564-22a7a91281d1 · outbound
Latent Posterior-Mean Rectified Flow for Higher-Fidelity Perceptual Face Restoration Gans trained by a two time-scale update rule converge to a local nash equilib- rium
Reference 22
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Latent Posterior-Mean Rectified Flow for Higher-Fidelity Perceptual Face Restoration Labeled faces in the wild: A database forstudying face recognition in unconstrained environments
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Latent Posterior-Mean Rectified Flow for Higher-Fidelity Perceptual Face Restoration Re- thinking fid: Towards a better evaluation metric for image generation
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Latent Posterior-Mean Rectified Flow for Higher-Fidelity Perceptual Face Restoration Towards flex- ible blind jpeg artifacts removal
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Latent Posterior-Mean Rectified Flow for Higher-Fidelity Perceptual Face Restoration Percep- tual losses for real-time style transfer and super-resolution
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Latent Posterior-Mean Rectified Flow for Higher-Fidelity Perceptual Face Restoration A style-based generator architecture for generative adversarial networks
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Latent Posterior-Mean Rectified Flow for Higher-Fidelity Perceptual Face Restoration Analyzing and improv- ing the image quality of stylegan
Reference 29
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Observation 39a793a8-5d5c-460f-981f-3d5be600ace8 · outbound
Latent Posterior-Mean Rectified Flow for Higher-Fidelity Perceptual Face Restoration Musiq: Multi-scale image quality transformer
Reference 30
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Latent Posterior-Mean Rectified Flow for Higher-Fidelity Perceptual Face Restoration Adam: A method for stochastic optimization
Reference 32
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Latent Posterior-Mean Rectified Flow for Higher-Fidelity Perceptual Face Restoration Lsdir: A large scale dataset for image restoration
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Latent Posterior-Mean Rectified Flow for Higher-Fidelity Perceptual Face Restoration Swinir: Image restoration us- ing swin transformer
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Reference 55
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Observation 4de7813f-2c4c-4cb8-8434-6daa1f998763 · outbound
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Reference 60
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Reference 61
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Reference 62
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Reference 63
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Reference 64
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Reference 65
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Reference 69
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Reference 71
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Reference 72
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Reference 73
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No inbound Pith citation observations are available.