Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T04:57:36.582590Z
Paper Citation Record · LEDGER
As of 10 August 2026, this Paper Citation Record lists 60 of 60 outbound references and 1 inbound Pith citation observation for arXiv:2506.09416.
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 2026-08-07T04:57:36.582590Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-05-11T03:21:35.082352Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
60 of 60 outbound references displayed
External citation measurements
0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Observation 156da0c0-ce24-4f86-8080-664b531f0731 · outbound
Noise Conditional Variational Score Distillation A., Salim, A., and Zhang, S
Reference 1
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Observation 1da5f0d2-bc6d-40b4-8f40-b4d6bf38fe9a · outbound
Noise Conditional Variational Score Distillation Unresolved cited work
Reference 2
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Observation b8588039-dc16-4d4a-965c-3b5dea0f02b5 · outbound
Noise Conditional Variational Score Distillation and Michaeli, T
Reference 3
Source-reported events for the cited work
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Observation d9894963-575b-4d86-a95d-2c4b4922bd20 · outbound
Noise Conditional Variational Score Distillation T., Klasky, M
Reference 4
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Observation 9f38b201-f5ba-4bde-8431-5ce1986a929e · outbound
Noise Conditional Variational Score Distillation Plug-and-play split Gibbs sampler: Embedding deep generative priors in Bayesian inference
Reference 5
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Observation b31fb0a3-840a-4920-a81e-286093f46260 · outbound
Noise Conditional Variational Score Distillation ImageNet : A large-scale hierarchical image database
Reference 6
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Observation 32cb3500-505c-449f-9caf-c99a00983564 · outbound
Noise Conditional Variational Score Distillation Analysis of Langevin Monte Carlo via convex optimization
Reference 7
Source-reported events for the cited work
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Observation 0fdcbb16-6223-4d26-a9e1-202c5a05c21b · outbound
Noise Conditional Variational Score Distillation Tweedie’s formula and selection bias
Reference 8
Source-reported events for the cited work
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Observation 7763a3c6-fd07-4409-aec2-acd358147aae · outbound
Noise Conditional Variational Score Distillation Unresolved cited work
Reference 9
Source-reported events for the cited work
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Observation 5785e12b-ce62-4d67-b709-8194b07e7bab · outbound
Noise Conditional Variational Score Distillation Generative adversarial nets
Reference 10
Source-reported events for the cited work
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Observation 1d05fae0-a366-435d-ad71-a47a240113b6 · outbound
Noise Conditional Variational Score Distillation B., Ancha, S., and Roy, D
Reference 11
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Observation ba7cb58e-c691-40b4-bc14-c1c9d0d740aa · outbound
Noise Conditional Variational Score Distillation GANs trained by a two time-scale update rule converge to a local Nash equilibrium
Reference 12
Source-reported events for the cited work
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Observation 46c5bc0e-ce1e-4a9a-84ce-611d613607ca · outbound
Noise Conditional Variational Score Distillation Denoising diffusion probabilistic models
Reference 13
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Observation d2703b8f-e115-4988-b820-8e3b38d182fc · outbound
Noise Conditional Variational Score Distillation A style-based generator architecture for generative adversarial networks
Reference 14
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Observation 0f875a88-f7ba-4aa3-a5ab-a3660e8b4c7b · outbound
Noise Conditional Variational Score Distillation Elucidating the design space of diffusion-based generative models
Reference 15
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Observation ac8b73ca-753f-4631-a41b-b30f1cdf86c0 · outbound
Noise Conditional Variational Score Distillation Analyzing and improving the training dynamics of diffusion models
Reference 16
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Observation 6f198c49-ed8a-435d-ba89-ae804c611df5 · outbound
Noise Conditional Variational Score Distillation Denoising diffusion restoration models
Reference 17
Source-reported events for the cited work
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Observation 475f0173-482f-4243-9f7d-66071021a86f · outbound
Noise Conditional Variational Score Distillation Multi-task learning using uncertainty to weigh losses for scene geometry and semantics
Reference 18
Source-reported events for the cited work
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Observation 1c1e6015-f0c6-48d8-afc0-0ab4213ecedd · outbound
Noise Conditional Variational Score Distillation Consistency trajectory models: Learning probability flow ODE trajectory of diffusion
Reference 19
Source-reported events for the cited work
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Observation 1dedded2-4409-46dc-8bca-ac241a662905 · outbound
Noise Conditional Variational Score Distillation Unresolved cited work
Reference 20
Source-reported events for the cited work
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Observation 5c1a343d-7793-4d38-bb41-51a7cb429f25 · outbound
Noise Conditional Variational Score Distillation Crafting papers on machine learning
Reference 21
Source-reported events for the cited work
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Observation cb49e310-e24a-4a46-a440-d8a5a33f8d8c · outbound
Noise Conditional Variational Score Distillation Unresolved cited work
Reference 22
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Observation 74f00e8f-b59a-49b2-b333-de2890a97b43 · outbound
Noise Conditional Variational Score Distillation and Song, Y
Reference 23
Source-reported events for the cited work
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Observation e4882752-3e90-4320-be95-bde2d0a3a713 · outbound
Noise Conditional Variational Score Distillation Contrastive energy prediction for exact energy-guided diffusion sampling in offline reinforcement learning
Reference 24
Source-reported events for the cited work
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Observation 70c588cf-c0d3-4ba7-ae0d-ba5ff9df1f39 · outbound
Noise Conditional Variational Score Distillation Diff-Instruct : A universal approach for transferring knowledge from pre-trained diffusion models
Reference 25
Source-reported events for the cited work
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Observation c30ef19a-ba7f-4569-94c8-e5c6ea3ebaac · outbound
Noise Conditional Variational Score Distillation Amortized Posterior Sampling with Diffusion Prior Distillation
Reference 26
Source-reported events for the cited work
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Observation 52fa0a11-3673-4de4-b9d5-b7fb9ee8f38c · outbound
Noise Conditional Variational Score Distillation Unresolved cited work
Reference 27
Source-reported events for the cited work
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Observation 3dabe7ef-9c9e-48c6-bd14-9f4ce70e9440 · outbound
Noise Conditional Variational Score Distillation OpenAI o1 System Card
Reference 28
Source-reported events for the cited work
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Observation 30e40d35-362d-4642-bee2-5fec53da9ffb · outbound
Noise Conditional Variational Score Distillation Improving diffusion models for inverse problems using optimal posterior covariance
Reference 29
Source-reported events for the cited work
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Observation 71fc456c-b3cd-4ecc-8065-15dbbd16cb99 · outbound
Noise Conditional Variational Score Distillation Relative entropy policy search
Reference 30
Source-reported events for the cited work
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Observation 54b91cfa-6a3a-414c-9494-9cf26ed415ef · outbound
Noise Conditional Variational Score Distillation High-resolution image synthesis with latent diffusion models
Reference 31
Source-reported events for the cited work
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Observation 4507ce06-4d49-4fa2-8338-7aedf118b0c6 · outbound
Noise Conditional Variational Score Distillation J., and Norouzi, M
Reference 32
Source-reported events for the cited work
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Observation e1c57bd9-9c47-4dd6-8a97-df43ef1edef7 · outbound
Noise Conditional Variational Score Distillation Multistep distillation of diffusion models via moment matching
Reference 33
Source-reported events for the cited work
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Observation 01d7c02b-1452-4f31-afb9-e5ed86435caf · outbound
Noise Conditional Variational Score Distillation Adversarial diffusion distillation
Reference 34
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Observation 4bc6d54e-0e66-4431-a0b6-e71d22c52592 · outbound
Noise Conditional Variational Score Distillation Denoising diffusion implicit models
Reference 35
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Observation b9ff5785-4863-4cca-a346-c2cec02bd596 · outbound
Noise Conditional Variational Score Distillation Pseudoinverse-guided diffusion models for inverse problems
Reference 36
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Observation 89c97516-e528-453e-ba28-a105f32245e0 · outbound
Noise Conditional Variational Score Distillation Loss-guided diffusion models for plug-and-play controllable generation
Reference 37
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Observation abc8b0b3-a395-4978-b482-523280e0c118 · outbound
Noise Conditional Variational Score Distillation and Ermon, S
Reference 38
Source-reported events for the cited work
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Observation 3b872f54-dbb2-4d37-8012-44996f6e10da · outbound
Noise Conditional Variational Score Distillation P., Kumar, A., Ermon, S., and Poole, B
Reference 39
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Observation e7645f0c-c2e2-4a9e-9800-0603b99c5a49 · outbound
Noise Conditional Variational Score Distillation Consistency models
Reference 40
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Noise Conditional Variational Score Distillation Dccm: Dual data consistency guided consistency model for inverse problems
Reference 41
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Noise Conditional Variational Score Distillation Inference-Time Alignment in Diffusion Models with Reward-Guided Generation: Tutorial and Review
Reference 42
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Observation c328b24d-f323-4501-b68f-f2a1368a1f63 · outbound
Noise Conditional Variational Score Distillation Split-and-augmented Gibbs sampler -- Application to large-scale inference problems
Reference 43
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Noise Conditional Variational Score Distillation ProlificDreamer : High-fidelity and diverse text-to-3D generation with variational score distillation
Reference 44
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Observation 73bf8303-87e5-443a-a40f-d013036605f6 · outbound
Reference 45
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Noise Conditional Variational Score Distillation Principled probabilistic imaging using diffusion models as plug-and-play priors
Reference 46
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Noise Conditional Variational Score Distillation Tackling the generative learning trilemma with denoising diffusion GAN s
Reference 47
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Noise Conditional Variational Score Distillation Consistency Model is an Effective Posterior Sample Approximation for Diffusion Inverse Solvers
Reference 48
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Reference 49
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Noise Conditional Variational Score Distillation Unresolved cited work
Reference 50
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Noise Conditional Variational Score Distillation T., and Park, T
Reference 51
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Noise Conditional Variational Score Distillation Freedom: Training-free energy-guided conditional diffusion model
Reference 52
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Noise Conditional Variational Score Distillation Improving Diffusion Inverse Problem Solving with Decoupled Noise Annealing
Reference 53
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Noise Conditional Variational Score Distillation Adding conditional control to text-to-image diffusion models
Reference 54
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Observation e2732a74-20fb-427e-a512-73463775d18f · outbound
Noise Conditional Variational Score Distillation A., Shechtman, E., and Wang, O
Reference 55
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Observation 94493e17-c5db-426b-b0e8-6fd34ed93cc6 · outbound
Noise Conditional Variational Score Distillation Unresolved cited work
Reference 56
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Noise Conditional Variational Score Distillation Score identity distillation: Exponentially fast distillation of pretrained diffusion models for one-step generation
Reference 57
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Noise Conditional Variational Score Distillation Adversarial score identity distillation: Rapidly surpassing the teacher in one step
Reference 58
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Noise Conditional Variational Score Distillation Denoising diffusion models for plug-and-play image restoration
Reference 59
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Reference 60
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Consistency Regularised Gradient Flows for Inverse Problems Noise Conditional Variational Score Distillation
Reference 63
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