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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=sha256:015478b5cab0bdf953a806546425642180b9d6e275b65efd94fdc29314edc7cb

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:b96fd783bb73e263a3659c6fc68de1802ded0c655879b5b43ff8605ed276dfb0

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=sha256:36ec72c3f8e1658f8055de9bd6a0d57831390c3bb97002b9946daaef101781e4

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:a28b63e1ec420f5542aff0ae68a17f5c8a430c9db7949571a80ba3fdd379665d

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:bee531f81c68e9efade30fd587f0884fff1dc280cd382601db665086f146f5e9

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=sha256:9456670a4bd0d8f98f81263557c95b3dd407aa4fb81adce4d3be03fb43e05266

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=sha256:255a35214bb5d4f4fee6c2221c23bebbd4db5b68bf13a363d45ce27119657cfd

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:c5f5eaad07cb3db7dba3fef2167cee183e3701e567257585741471b26c459409

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:a9c1b9a8b1200f8187d8cf164612abb5db49ee3a25ba51ce24ca2386a29bef92

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=sha256:1f927195f8566a0bd534db5d8b17fd6b8c88d8a34d0da11bb7eea455df81568f

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=sha256:33a6cece6006bafe24097ff6ae4cfacfc10e87d7e713ba3e00b8a22b3c617b34

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=sha256:9361d3f952de80624f5d3afbaa3d8cbe9c8b204c23832d94a12e845470d8ac1f

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=sha256:889c2d727b726539ba09e21a04328c063c434633175c8ac5699d4b2afee9e86e

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:f80df9129b64b9202a6db3696e990aca0cdcc3201084b7120bff7090380fb900