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Paper Citation Record · LEDGER

Non-Normal Diffusion Models

As of 17 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:2412.07935.

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

pith.paper-citation-record.v1
2412.07935 v1

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T18:31:59.976328Z

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

39 of 39 outbound references displayed

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  • verified fuzzy11
  • unresolved28
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 78982f51-97bd-4ce7-9587-e90fa69e083a · outbound

This paper cites write newline.

Non-Normal Diffusion Models write newline

Reference 1

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Observation 037c9471-b010-425c-ae38-34b77b906c85 · outbound

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Non-Normal Diffusion Models Unresolved cited work

Reference 2

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Observation 57b8cfec-cd3d-49e0-8380-22c630733a0d · outbound

This paper cites Convergence of probability measures.

Non-Normal Diffusion Models Convergence of probability measures

Reference 3

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Observation 5ed34d02-9565-4d92-9c05-79e85d5763c2 · outbound

This paper cites and Georges, A.

Non-Normal Diffusion Models and Georges, A

Reference 4

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Observation 2bf38512-6661-4820-b13b-7dfebb3e6285 · outbound

This paper cites Large Scale GAN Training for High Fidelity Natural Image Synthesis.

Non-Normal Diffusion Models Large Scale GAN Training for High Fidelity Natural Image Synthesis

Reference 5

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Observation d3e65629-07ea-451c-925a-ab79331428dc · outbound

This paper cites Very Deep VAEs Generalize Autoregressive Models and Can Outperform Them on Images.

Non-Normal Diffusion Models Very Deep VAEs Generalize Autoregressive Models and Can Outperform Them on Images

Reference 6

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Observation c2c77e70-3ad9-4006-be27-02d1cf39bf96 · outbound

This paper cites Generating Long Sequences with Sparse Transformers.

Non-Normal Diffusion Models Generating Long Sequences with Sparse Transformers

Reference 7

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Observation adc56b42-b1e8-4234-be8d-d7ae8a39f318 · outbound

This paper cites Dynamics of glassy systems.

Non-Normal Diffusion Models Dynamics of glassy systems

Reference 8

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Observation 827929da-5842-4e38-8744-43dd1109d4b0 · outbound

This paper cites and Nichol, A.

Non-Normal Diffusion Models and Nichol, A

Reference 9

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Observation d3602cf9-047a-4eae-bad1-d07209ed777a · outbound

This paper cites NICE: Non-linear Independent Components Estimation.

Non-Normal Diffusion Models NICE: Non-linear Independent Components Estimation

Reference 10

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Observation 48a9452a-b229-49f6-b6d3-f154e32211c0 · outbound

This paper cites Density estimation using Real NVP.

Non-Normal Diffusion Models Density estimation using Real NVP

Reference 11

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Observation ad4164bc-5028-48fc-b1cf-45193f9d4dd6 · outbound

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Non-Normal Diffusion Models Unresolved cited work

Reference 12

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Observation 5568e958-29b4-480e-9ace-9cb9e504740c · outbound

This paper cites Anomalous diffusion on percolating clusters.

Non-Normal Diffusion Models Anomalous diffusion on percolating clusters

Reference 13

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Source-reported events for the cited work

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Observation defab4a1-0a57-4629-a39b-68d02678fcb5 · outbound

This paper cites Generative adversarial networks.

Non-Normal Diffusion Models Generative adversarial networks

Reference 14

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Observation 305ef886-bf4b-414b-95d2-1cd8b70a19c0 · outbound

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

Non-Normal Diffusion Models Gans trained by a two time-scale update rule converge to a local nash equilibrium

Reference 15

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Observation b70ff18c-66fb-4ee9-867f-8c04bc12847d · outbound

This paper cites and Barkai, E.

Non-Normal Diffusion Models and Barkai, E

Reference 16

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Observation ad41c3dc-f2ad-402b-b672-dc5bed5e7905 · outbound

This paper cites Denoising diffusion probabilistic models.

Non-Normal Diffusion Models Denoising diffusion probabilistic models

Reference 17

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Observation 270b1187-9c86-4b6d-87c2-7904bdaadddd · outbound

This paper cites J., Norouzi, M., and Salimans, T.

Non-Normal Diffusion Models J., Norouzi, M., and Salimans, T

Reference 18

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Observation ed36ea66-5279-4a25-b540-b7dc0870ab62 · outbound

This paper cites Consistency of pseudolikelihood estimation of fully visible boltzmann machines.

Non-Normal Diffusion Models Consistency of pseudolikelihood estimation of fully visible boltzmann machines

Reference 19

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Observation e0401536-f1b2-4420-9325-aa3e92968279 · outbound

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Non-Normal Diffusion Models and Dayan, P

Reference 20

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Observation fb104150-d4b2-473a-8210-a1cc1e4522e0 · outbound

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

Non-Normal Diffusion Models A style-based generator architecture for generative adversarial networks

Reference 21

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Observation 7482cee2-6b22-43a6-8fe0-c46ed027caa7 · outbound

This paper cites Elucidating the Design Space of Diffusion-Based Generative Models.

Non-Normal Diffusion Models Elucidating the Design Space of Diffusion-Based Generative Models

Reference 22

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Observation 146d36b4-14b1-48c5-8ebd-24ca4cf7420d · outbound

This paper cites Variational diffusion models.

Non-Normal Diffusion Models Variational diffusion models

Reference 23

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Non-Normal Diffusion Models Unresolved cited work

Reference 24

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Non-Normal Diffusion Models Auto-Encoding Variational Bayes

Reference 25

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Non-Normal Diffusion Models Unresolved cited work

Reference 26

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Observation fd8129d6-7b55-4e9a-92c3-c32abd6072dd · outbound

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Non-Normal Diffusion Models Learning multiple layers of features from tiny images

Reference 27

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Non-Normal Diffusion Models and ksendal, B

Reference 28

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Observation 45b8afa9-96e9-4123-a765-1c4e54567888 · outbound

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Non-Normal Diffusion Models WaveNet: A Generative Model for Raw Audio

Reference 29

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Observation d6e379c0-26f0-46b4-b7cf-5974a3a62458 · outbound

This paper cites PixelCNN++: Improving the PixelCNN with Discretized Logistic Mixture Likelihood and Other Modifications.

Non-Normal Diffusion Models PixelCNN++: Improving the PixelCNN with Discretized Logistic Mixture Likelihood and Other Modifications

Reference 30

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Observation f86ff5e0-eb26-4730-bd2a-45452dedce1c · outbound

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Non-Normal Diffusion Models and Solin, A

Reference 31

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Observation 6cd0720e-feca-4121-b681-f1d824d17cdc · outbound

This paper cites Deep unsupervised learning using nonequilibrium thermodynamics.

Non-Normal Diffusion Models Deep unsupervised learning using nonequilibrium thermodynamics

Reference 32

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Observation 7978fde1-8d40-4f5b-ba49-3b4f4dd14882 · outbound

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Non-Normal Diffusion Models and Ermon, S

Reference 33

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Observation aa58910f-4a46-488f-bd69-7cd2bf3e0e7e · outbound

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Non-Normal Diffusion Models Sliced score matching: A scalable approach to density and score estimation

Reference 34

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Observation ae4f5d3b-1f9f-4316-90f8-4823c277fdb4 · outbound

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Non-Normal Diffusion Models Score-Based Generative Modeling through Stochastic Differential Equations

Reference 35

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Non-Normal Diffusion Models Unresolved cited work

Reference 36

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Observation 530eb916-0d8f-4d7e-92bc-e600b8cfc80b · outbound

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Non-Normal Diffusion Models and Kautz, J

Reference 37

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Observation 70d7920b-020b-442e-a75d-48c9430a64b8 · outbound

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Non-Normal Diffusion Models Pixel recurrent neural networks

Reference 38

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Observation be01d8f7-bfbf-422c-847d-62d06cd3db41 · outbound

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Non-Normal Diffusion Models and Romanovsky, M

Reference 39

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Pith citing papers

No inbound Pith citation observations are available.