Paper Citation Record · LEDGER

A Gaussian Perspective for Distributional Discrepancy in Generative Diffusion Models

As of 8 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:2601.13602.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2601.13602 v3

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T09:37:01.085386Z

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

35 of 35 outbound references displayed

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verified fuzzy0
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External citation measurements

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Outbound references

Observation 6383af8e-3eb2-4331-839b-011fb5f57de6 · outbound

This paper cites Deep unsupervised learning using nonequilibrium thermodynamics,.

A Gaussian Perspective for Distributional Discrepancy in Generative Diffusion Models Deep unsupervised learning using nonequilibrium thermodynamics,

Reference 1

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Observation e7a94b70-bbea-4a9e-a038-e513933ff8b9 · outbound

This paper cites Denoising diffusion probabilistic models,.

A Gaussian Perspective for Distributional Discrepancy in Generative Diffusion Models Denoising diffusion probabilistic models,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-03T09:36:57.532207Z

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Unavailable: canonical work link unavailable.

Observation 073f85ec-c5f9-4da1-94bb-92b0e525446c · outbound

This paper cites Score-based generative modeling through stochastic differential equations,.

A Gaussian Perspective for Distributional Discrepancy in Generative Diffusion Models Score-based generative modeling through stochastic differential equations,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-03T09:36:57.591807Z

Source-reported events for the cited work

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Observation 6fca2859-af70-4fe8-af06-ccee5e9c45a5 · outbound

This paper cites Variational diffusion models,.

A Gaussian Perspective for Distributional Discrepancy in Generative Diffusion Models Variational diffusion models,

Reference 4

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Source-reported events for the cited work

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Observation d7c34d9f-ec24-4d3f-a068-2429357bcbca · outbound

This paper cites Elucidating the design space of diffusion-based generative models,.

A Gaussian Perspective for Distributional Discrepancy in Generative Diffusion Models Elucidating the design space of diffusion-based generative models,

Reference 5

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Observation 6eb536bd-a6f9-4191-9068-02cbcfb4811c · outbound

This paper cites Improved noise schedule for diffusion training,.

A Gaussian Perspective for Distributional Discrepancy in Generative Diffusion Models Improved noise schedule for diffusion training,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-03T09:36:57.818874Z

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Observation 52bd2db4-4b61-4562-a9cc-f20654ac5f68 · outbound

This paper cites Using Ornstein-Uhlenbeck Process to understand Denoising Diffusion Probabilistic Model and its Noise Schedules.

A Gaussian Perspective for Distributional Discrepancy in Generative Diffusion Models Using Ornstein-Uhlenbeck Process to understand Denoising Diffusion Probabilistic Model and its Noise Schedules

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-03T09:36:57.881800Z

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Observation 26a5a5d5-aa31-46ed-bd2c-2326b1914c85 · outbound

This paper cites The cosine schedule is Fisher-Rao-optimal for masked discrete diffusion models,.

A Gaussian Perspective for Distributional Discrepancy in Generative Diffusion Models The cosine schedule is Fisher-Rao-optimal for masked discrete diffusion models,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-03T09:36:57.952596Z

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Observation 8546120c-86ba-4a47-9aa5-a4d557ddab2d · outbound

This paper cites Denoising diffusion implicit models,.

A Gaussian Perspective for Distributional Discrepancy in Generative Diffusion Models Denoising diffusion implicit models,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-03T09:36:58.015972Z

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Observation 0cea1314-34bd-4cfd-8bb1-5e49a2040200 · outbound

This paper cites DPM-Solver: A fast ODE solver for diffusion probabilistic model sampling in around 10 steps,.

A Gaussian Perspective for Distributional Discrepancy in Generative Diffusion Models DPM-Solver: A fast ODE solver for diffusion probabilistic model sampling in around 10 steps,

Reference 10

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Observation 09204b64-44f1-4375-b766-2d3b304de8c4 · outbound

This paper cites DPM-Solver++: Fast solver for guided sampling of diffusion probabilistic models,.

A Gaussian Perspective for Distributional Discrepancy in Generative Diffusion Models DPM-Solver++: Fast solver for guided sampling of diffusion probabilistic models,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-03T09:36:58.207917Z

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Observation 8ddeaf99-e05e-433f-a211-ef5da105a01f · outbound

This paper cites UniPC: A unified predictor-corrector framework for fast sampling of diffusion models,.

A Gaussian Perspective for Distributional Discrepancy in Generative Diffusion Models UniPC: A unified predictor-corrector framework for fast sampling of diffusion models,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-03T09:36:58.273894Z

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Observation af7830f4-2667-4341-8cf2-25000e6a8616 · outbound

This paper cites DPM-Solver-v3: Improved diffusion ODE solver with empirical model statistics,.

A Gaussian Perspective for Distributional Discrepancy in Generative Diffusion Models DPM-Solver-v3: Improved diffusion ODE solver with empirical model statistics,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-03T09:36:58.333028Z

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Observation aeafbf04-f23f-421a-a384-25ec521f10e3 · outbound

This paper cites Learning to schedule in diffusion probabilistic models,.

A Gaussian Perspective for Distributional Discrepancy in Generative Diffusion Models Learning to schedule in diffusion probabilistic models,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-03T09:36:58.401396Z

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Observation 46d03c35-2ded-4e4c-b9b5-43fd5e68ae62 · outbound

This paper cites Autodiffusion: Training-free optimization of time steps and architectures for automated diffusion model acceleration,.

A Gaussian Perspective for Distributional Discrepancy in Generative Diffusion Models Autodiffusion: Training-free optimization of time steps and architectures for automated diffusion model acceleration,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-03T09:36:58.485879Z

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Unavailable: canonical work link unavailable.

Observation 82e02cd5-254d-4ad8-8ba0-a5b0ce018c1a · outbound

This paper cites Align your steps: Optimizing sampling schedules in diffusion models,.

A Gaussian Perspective for Distributional Discrepancy in Generative Diffusion Models Align your steps: Optimizing sampling schedules in diffusion models,

Reference 16

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Observation 7fb997fb-3d09-45a4-a656-8af3e23e8c61 · outbound

This paper cites Accelerating diffusion sampling with optimized time steps,.

A Gaussian Perspective for Distributional Discrepancy in Generative Diffusion Models Accelerating diffusion sampling with optimized time steps,

Reference 17

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Source-reported events for the cited work

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Observation dc2d3569-3f67-48ab-9712-c528b84ff2ce · outbound

This paper cites Score-optimal diffusion schedules,.

A Gaussian Perspective for Distributional Discrepancy in Generative Diffusion Models Score-optimal diffusion schedules,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-03T09:36:58.900566Z

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Observation 06013626-b840-4d51-af73-9548610763f5 · outbound

This paper cites Variance-reduction guidance: Sampling trajectory optimization for diffusion models,.

A Gaussian Perspective for Distributional Discrepancy in Generative Diffusion Models Variance-reduction guidance: Sampling trajectory optimization for diffusion models,

Reference 19

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Observation ad0221a6-61d5-404a-939e-96b5260695d4 · outbound

This paper cites Hierarchical Schedule Optimization for Fast and Robust Diffusion Model Sampling.

A Gaussian Perspective for Distributional Discrepancy in Generative Diffusion Models Hierarchical Schedule Optimization for Fast and Robust Diffusion Model Sampling

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-03T09:36:59.076062Z

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Observation 268cca2c-b11f-44c1-a9d2-e57e7c7f5cfe · outbound

This paper cites Zwillinger,CRC Standard Mathematical Tables and Formulae.

A Gaussian Perspective for Distributional Discrepancy in Generative Diffusion Models Zwillinger,CRC Standard Mathematical Tables and Formulae

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-03T09:36:59.147942Z

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Observation 0e2bd3ee-c2c5-460b-a244-a9b2075d0e39 · outbound

This paper cites Learning multiple layers of features from tiny images,.

A Gaussian Perspective for Distributional Discrepancy in Generative Diffusion Models Learning multiple layers of features from tiny images,

Reference 22

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Observation d32b47a3-aeb3-4849-8e9d-8f7aec8d9087 · outbound

This paper cites A style-based generator architecture for generative adversarial networks,.

A Gaussian Perspective for Distributional Discrepancy in Generative Diffusion Models A style-based generator architecture for generative adversarial networks,

Reference 23

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Observation 6f2ec564-f23f-42a9-bc79-75dcdd1bb3d6 · outbound

This paper cites Reverse-time diffusion equation models,.

A Gaussian Perspective for Distributional Discrepancy in Generative Diffusion Models Reverse-time diffusion equation models,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-03T09:36:59.491111Z

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Observation 6b38ea5b-3f19-432f-8a7d-569dd3a93950 · outbound

This paper cites Tweedie’s formula and selection bias,.

A Gaussian Perspective for Distributional Discrepancy in Generative Diffusion Models Tweedie’s formula and selection bias,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-03T09:36:59.539165Z

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Observation 3e971bae-c4d0-4c8c-86c0-53c3352679a9 · outbound

This paper cites Sampling is as easy as learning the score: theory for diffusion models with minimal data assumptions.

A Gaussian Perspective for Distributional Discrepancy in Generative Diffusion Models Sampling is as easy as learning the score: theory for diffusion models with minimal data assumptions

Reference 26

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Observation 378c22f2-5e4d-4b9a-9ab5-ba2baa983dc4 · outbound

This paper cites Let us Build Bridges: Understanding and Extending Diffusion Generative Models.

A Gaussian Perspective for Distributional Discrepancy in Generative Diffusion Models Let us Build Bridges: Understanding and Extending Diffusion Generative Models

Reference 27

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Observation 745f9884-c11d-4f34-a630-f758a3c128f0 · outbound

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A Gaussian Perspective for Distributional Discrepancy in Generative Diffusion Models Unresolved cited work

Reference 28

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Observation 6278e7ac-97d7-44b5-93aa-98c6114ea787 · outbound

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A Gaussian Perspective for Distributional Discrepancy in Generative Diffusion Models Unresolved cited work

Reference 29

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Observation a98e6c49-7cee-4ba4-8544-26486a32db51 · outbound

This paper cites Statistics of natural image categories,.

A Gaussian Perspective for Distributional Discrepancy in Generative Diffusion Models Statistics of natural image categories,

Reference 30

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Observation c66cd356-b5d2-4a29-9961-4be8a88a7f5d · outbound

This paper cites GANs trained by a two time-scale update rule converge to a local nash equilibrium,.

A Gaussian Perspective for Distributional Discrepancy in Generative Diffusion Models GANs trained by a two time-scale update rule converge to a local nash equilibrium,

Reference 31

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Observation 8bc6fdd6-7799-4c19-9ff7-bb34f3965f87 · outbound

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A Gaussian Perspective for Distributional Discrepancy in Generative Diffusion Models Unresolved cited work

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-03T09:37:00.653778Z

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Observation c61ddc8c-8bd4-4829-8df2-1991b4758b10 · outbound

This paper cites Flow matching for generative modeling,.

A Gaussian Perspective for Distributional Discrepancy in Generative Diffusion Models Flow matching for generative modeling,

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-03T09:37:00.785998Z

Source-reported events for the cited work

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Observation 137bb224-a3b0-478e-a68a-4aa97569c30a · outbound

This paper cites Improved denoising diffusion probabilistic models,.

A Gaussian Perspective for Distributional Discrepancy in Generative Diffusion Models Improved denoising diffusion probabilistic models,

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-03T09:37:00.870334Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 97ac82b5-1783-4c55-ac13-1598a7ea9be3 · outbound

This paper cites Øksendal,Stochastic Differential Equations: An Introduction with Applications, 6th ed., ser.

A Gaussian Perspective for Distributional Discrepancy in Generative Diffusion Models Øksendal,Stochastic Differential Equations: An Introduction with Applications, 6th ed., ser

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-03T09:37:01.085386Z

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Pith citing papers

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