Paper Citation Record · LEDGER

Score-based Denoising Diffusion with Non-Isotropic Gaussian Noise Models

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2210.12254.

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

pith.paper-citation-record.v1
2210.12254 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T06:04:59.456903Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T13:44:40.586335Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
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External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 23b1d703-1455-4f14-be5d-c60211c80244 · inbound

Robust Graph Learning Against Adversarial Evasion Attacks via Prior-Free Diffusion-Based Structure Purification cites this paper.

Robust Graph Learning Against Adversarial Evasion Attacks via Prior-Free Diffusion-Based Structure Purification Score-based Denoising Diffusion with Non-Isotropic Gaussian Noise Models

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-08T20:45:53.985340Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4456c2dd-279f-4beb-b157-f61e7b6cf4ab · inbound

Generalized Score Matching: Bridging $f$-Divergence and Statistical Estimation Under Correlated Noise cites this paper.

Generalized Score Matching: Bridging $f$-Divergence and Statistical Estimation Under Correlated Noise Score-based Denoising Diffusion with Non-Isotropic Gaussian Noise Models

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-16T06:04:59.456903Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ebbd69f3-1485-4a08-9397-1e8a7ff9cb85 · inbound

A Fourier Space Perspective on Diffusion Models cites this paper.

A Fourier Space Perspective on Diffusion Models Score-based Denoising Diffusion with Non-Isotropic Gaussian Noise Models

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-15T21:01:29.223176Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e8060142-4cf8-442f-8f73-33fd80f7ad50 · inbound

Score-Based Generative Modeling through Anisotropic Stochastic Partial Differential Equations cites this paper.

Score-Based Generative Modeling through Anisotropic Stochastic Partial Differential Equations Score-based Denoising Diffusion with Non-Isotropic Gaussian Noise Models

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-05-12T07:31:24.840179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ded2c10b-9c49-4487-9b27-e5fead6673ba · inbound

{\Phi}-Noise: Training-Free Temporal Video Conditioning via Phase-Based Noise Manipulation cites this paper.

{\Phi}-Noise: Training-Free Temporal Video Conditioning via Phase-Based Noise Manipulation Score-based Denoising Diffusion with Non-Isotropic Gaussian Noise Models

Reference 47

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T13:44:40.587988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2667f418-a372-4a71-bab8-67a9c9626533 · inbound

Pseudorandom Streams within Diffusion Models Act as Learnable Inputs That Affect Generation Quality cites this paper.

Pseudorandom Streams within Diffusion Models Act as Learnable Inputs That Affect Generation Quality Score-based Denoising Diffusion with Non-Isotropic Gaussian Noise Models

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-04T04:32:10.448961Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.