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Paper Citation Record · LEDGER

Unifying Diffusion Models' Latent Space, with Applications to CycleDiffusion and Guidance

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2210.05559.

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

pith.paper-citation-record.v1
2210.05559 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 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 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:54:01.621412Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T10:19:46.884839Z

Reference resolution

0 of 0 outbound references displayed

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

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 669275d8-6feb-4214-a0e3-1b3e91496acd · inbound

Regional climate risk assessment from climate models using probabilistic machine learning cites this paper.

Regional climate risk assessment from climate models using probabilistic machine learning Unifying Diffusion Models' Latent Space, with Applications to CycleDiffusion and Guidance

Reference 134

Resolution
verified exact
arxiv_id, observed 2026-05-23T07:27:42.673419Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-23T07:26:44.351983Z digest=sha256:55d4d5af2a5930ea158c14366b58c550b00fcd33933bfe20469aa5e60e50b957

Observation ee45b4e9-7c5f-4dc9-93c7-399ce7788544 · inbound

IMPLICITSTAINER: Resolution Agnostic Data-Efficient Virtual Staining Using Neural Implicit Functions cites this paper.

IMPLICITSTAINER: Resolution Agnostic Data-Efficient Virtual Staining Using Neural Implicit Functions Unifying Diffusion Models' Latent Space, with Applications to CycleDiffusion and Guidance

Reference 73

Resolution
verified exact
arxiv_id, observed 2026-05-22T14:44:55.207326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-22T14:42:28.669746Z digest=sha256:f4d6e63b3a86019a57e9074a1e10eef1e644b4a52249951bdb3ed1968466a13e

Observation 6f48bbdd-19a9-4da9-b1d0-a9442c6b5e28 · inbound

Diffusion-based translation between unpaired spontaneous premature neonatal EEG and fetal MEG cites this paper.

Diffusion-based translation between unpaired spontaneous premature neonatal EEG and fetal MEG Unifying Diffusion Models' Latent Space, with Applications to CycleDiffusion and Guidance

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-06T16:54:01.621412Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:54:01.621412Z digest=sha256:ba41dbd81738cc485b2d5bdd2d1e40ecbe8e0e76cd7db77c9d63f823043ba9b6

Observation 21b0fa78-e8d2-4134-a37c-5dd60d10ebbf · inbound

Discrete Noise Inversion for Next-scale Autoregressive Text-based Image Editing cites this paper.

Discrete Noise Inversion for Next-scale Autoregressive Text-based Image Editing Unifying Diffusion Models' Latent Space, with Applications to CycleDiffusion and Guidance

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-05T12:07:36.991079Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T12:07:36.991079Z digest=sha256:25295576fcdfd03662d888b7ad20e3e25493fe0f4f90fa76757546d6528bf605

Observation 1e1b2d7b-f3bf-404f-bf47-c5d30cd00516 · inbound

Style-Based Neural Architectures for Real-Time Weather Classification cites this paper.

Style-Based Neural Architectures for Real-Time Weather Classification Unifying Diffusion Models' Latent Space, with Applications to CycleDiffusion and Guidance

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-05-11T11:51:03.417295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T04:32:29.400543Z digest=sha256:8ed2f28d4a69126205fece80fd239c2a18bfef1c1784033197c15534c516e8d3

Observation 3e1954fe-7ca4-4f71-80a7-c36d00488c90 · inbound

Semantic Browsing: Controllable Diversity for Image Generation cites this paper.

Semantic Browsing: Controllable Diversity for Image Generation Unifying Diffusion Models' Latent Space, with Applications to CycleDiffusion and Guidance

Reference 74

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T10:19:46.886465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-26T09:03:48.337833Z digest=sha256:65685ee7c935af43ccfd0e20a0f16daf15975fd65e1ae77fbe47832fdd6dc87a

Observation 42a5cd6b-c80f-4744-8a3f-ef63fe11459a · inbound

FlowForm: Synergizing Fluid Physics with Topological Consistency for Satellite Flood Synthesis cites this paper.

FlowForm: Synergizing Fluid Physics with Topological Consistency for Satellite Flood Synthesis Unifying Diffusion Models' Latent Space, with Applications to CycleDiffusion and Guidance

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-05T11:39:46.358181Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T11:39:46.358181Z digest=sha256:17bb520dabd347f5e39bc21fbf08927142f612384c5ca9d80b1f7f9c9156f2f4