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Paper Citation Record · LEDGER

Cold Diffusion: Inverting Arbitrary Image Transforms Without Noise

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 inbound Pith citation observations for arXiv:2208.09392.

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

pith.paper-citation-record.v1
2208.09392 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T18:58:09.555802Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

105
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation f3f13ffc-2b87-4a5e-92c2-9dae37f6e6f8 · inbound

Building Normalizing Flows with Stochastic Interpolants cites this paper.

Building Normalizing Flows with Stochastic Interpolants Cold Diffusion: Inverting Arbitrary Image Transforms Without Noise

Reference 1

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T06:54:00.436060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-12T06:54:00.145404Z digest=sha256:0fbbb842dd84c5113657cb689f84377a4e3fffac0b292aa28eb205990f0d2b63

Observation ad560a2a-5962-4f50-b717-d3fa606c7291 · inbound

Building Normalizing Flows with Stochastic Interpolants cites this paper.

Building Normalizing Flows with Stochastic Interpolants Cold Diffusion: Inverting Arbitrary Image Transforms Without Noise

Reference 81

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T06:54:00.412114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-12T06:54:00.145404Z digest=sha256:4c93f29938405234d49e00ff15de5d44b525d10f08639bc3a919e716612c382f

Observation 840d5fa8-5b26-4e3b-848f-cd553eb453a6 · inbound

DragNUWA: Fine-grained Control in Video Generation by Integrating Text, Image, and Trajectory cites this paper.

DragNUWA: Fine-grained Control in Video Generation by Integrating Text, Image, and Trajectory Cold Diffusion: Inverting Arbitrary Image Transforms Without Noise

Reference 79

Resolution
metadata mismatch
arxiv_id, observed 2026-05-20T13:03:58.084515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-20T13:03:57.828598Z digest=sha256:29b62ef96c9267683fccd236fcf52e5de92744622aad8e61d34dc6c3365d0b8f

Observation 5d7caaec-d8c4-427a-8919-8984901d9e21 · inbound

Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution cites this paper.

Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution Cold Diffusion: Inverting Arbitrary Image Transforms Without Noise

Reference 44

Resolution
metadata mismatch
arxiv_id, observed 2026-05-16T08:12:31.283286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-16T08:12:30.984870Z digest=sha256:8b6a86a55dca1beb1eb51baee442729460e9e01ea2e261495a633ab8bf57f020

Observation 59b8f7ce-c3f6-4219-abe7-7dc7c9c073f3 · inbound

Single Image Reflection Removal with Patch Reflectance Prior cites this paper.

Single Image Reflection Removal with Patch Reflectance Prior Cold Diffusion: Inverting Arbitrary Image Transforms Without Noise

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-24T05:08:54.720476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-24T05:08:52.367989Z digest=sha256:ecf6406a47553e53348cc864c18c6ec47b9ed111ef56d2864d388c6e489e7e23

Observation 46810eb6-d26e-4a3b-ba7b-07bb13fecd67 · inbound

Shaping Inductive Bias in Diffusion Models through Frequency-Based Noise Control cites this paper.

Shaping Inductive Bias in Diffusion Models through Frequency-Based Noise Control Cold Diffusion: Inverting Arbitrary Image Transforms Without Noise

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-07T18:58:09.555802Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T18:58:09.555802Z digest=sha256:d02971c926bb51af6a92eabf9d6308be6dabe4c8bb5081562ffbc37bc60e12f7

Observation 7ab503c0-6f00-4517-a3a4-1eda087d15ba · inbound

ControlMambaIR: Conditional Controls with State-Space Model for Image Restoration cites this paper.

ControlMambaIR: Conditional Controls with State-Space Model for Image Restoration Cold Diffusion: Inverting Arbitrary Image Transforms Without Noise

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-07T11:23:52.053639Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:23:52.053639Z digest=sha256:35f85da81b87fcea1dd13e5d49ab729f693969761e7974bf377d1b44ecbaee94

Observation f8dbb6b0-fe2d-4811-8ef2-2aed20b9ba17 · inbound

HazeMatching: Dehazing Light Microscopy Images with Guided Conditional Flow Matching cites this paper.

HazeMatching: Dehazing Light Microscopy Images with Guided Conditional Flow Matching Cold Diffusion: Inverting Arbitrary Image Transforms Without Noise

Reference 4

Resolution
metadata mismatch
arxiv_id, observed 2026-05-19T07:47:09.333320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-19T07:45:11.980547Z digest=sha256:7fa96f419b6210c883053fe27383f0d0deedddebf6cb0acf26cac0090cab2998

Observation f81e427b-1969-4647-bcbd-f1c0fbe515c2 · inbound

Progressive Checkerboards for Autoregressive Multiscale Image Generation cites this paper.

Progressive Checkerboards for Autoregressive Multiscale Image Generation Cold Diffusion: Inverting Arbitrary Image Transforms Without Noise

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-03T04:53:11.962029Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T04:53:11.962029Z digest=sha256:462d5a243c2e994e984ba37b090923008e787cdf26f9ab81c2278720196d3a29

Observation dc31a386-cdd8-4386-aa1f-e1798eea73cc · inbound

A Unified Measure-Theoretic View of Diffusion, Score-Based, and Flow Matching Generative Models cites this paper.

A Unified Measure-Theoretic View of Diffusion, Score-Based, and Flow Matching Generative Models Cold Diffusion: Inverting Arbitrary Image Transforms Without Noise

Reference 36

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T04:35:59.212290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-11T01:12:25.837672Z digest=sha256:3cfe73e49808d02a0a418cd2dc26c4023dd30d474a3980907ef6bdc0398dc521

Observation 42d4a24a-bd6e-4bd3-8794-a7b0531db3a7 · inbound

DDGAD: Trajectory Dynamics for Diffusion-Based Graph Anomaly Detection cites this paper.

DDGAD: Trajectory Dynamics for Diffusion-Based Graph Anomaly Detection Cold Diffusion: Inverting Arbitrary Image Transforms Without Noise

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-06-29T20:03:56.262627Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-29T19:59:17.787145Z digest=sha256:f3b935d727012cd8d0f5d1032c06753895a8042e1af8d6373a8dac48eeb5f939

Observation 6d861151-d146-45a3-9f44-d40f9773ba2f · inbound

Decoupled Residual Denoising Diffusion Models for Unified and Data Efficient Image-to-Image Translation cites this paper.

Decoupled Residual Denoising Diffusion Models for Unified and Data Efficient Image-to-Image Translation Cold Diffusion: Inverting Arbitrary Image Transforms Without Noise

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-06-28T17:22:24.721786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-28T17:19:08.137924Z digest=sha256:79e1cfb943cf51161412a979da0eed0ac992cc9a350fad6359153394022db761

Observation fb6043fa-9ac2-45b1-a880-ded9eecb989d · inbound

CaloTrilogy: Toward a Breakthrough in One-Step, End-to-End, Physics-Guided Shower Generation for Modern Calorimeters cites this paper.

CaloTrilogy: Toward a Breakthrough in One-Step, End-to-End, Physics-Guided Shower Generation for Modern Calorimeters Cold Diffusion: Inverting Arbitrary Image Transforms Without Noise

Reference 86

Resolution
verified exact
arxiv_id, observed 2026-07-02T06:06:41.319107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-28T07:41:38.548022Z digest=sha256:9b570da6f5aa6e07c3c3bf086ac6fd2b85f23e24f719e3c1cc86b752c38784ac

Observation c6963e64-7989-4e9b-a74f-76ac40a09f0d · inbound

CaloTrilogy: Toward a Breakthrough in One-Step, End-to-End, Physics-Guided Shower Generation for Modern Calorimeters cites this paper.

CaloTrilogy: Toward a Breakthrough in One-Step, End-to-End, Physics-Guided Shower Generation for Modern Calorimeters Cold Diffusion: Inverting Arbitrary Image Transforms Without Noise

Reference 86

Resolution
unresolved
no resolver link, observed 2026-08-02T12:30:44.267020Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T12:30:44.267020Z digest=sha256:1913aad1e19a7d7215a5235afa6a42435c21ba001e67c3d0ae257ef365477730