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Paper Citation Record · LEDGER

Fast-DDPM: Fast Denoising Diffusion Probabilistic Models for Medical Image-to-Image Generation

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2405.14802.

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

pith.paper-citation-record.v1
2405.14802 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T14:22:03.031227Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-14T01:33:35.084366Z

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 6267c634-b8a4-4cd6-a596-29b3c511ce02 · inbound

LDM-Morph: Latent diffusion model guided deformable image registration cites this paper.

LDM-Morph: Latent diffusion model guided deformable image registration Fast-DDPM: Fast Denoising Diffusion Probabilistic Models for Medical Image-to-Image Generation

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-12T14:22:03.031227Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T14:22:03.031227Z digest=sha256:41a43307e5ac4627852543ac7499aba9b53ff4fcaab80d31799aa93dfb8bc894

Observation a2908192-a1c1-4f68-b29b-204957877c9c · inbound

EfficientVITON: An Efficient Virtual Try-On Model using Optimized Diffusion Process cites this paper.

EfficientVITON: An Efficient Virtual Try-On Model using Optimized Diffusion Process Fast-DDPM: Fast Denoising Diffusion Probabilistic Models for Medical Image-to-Image Generation

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-10T17:56:56.566806Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T17:56:56.566806Z digest=sha256:ccea37a08cb5da523886732371c4d095a74b216779ccf2762578a6d2be669f1e

Observation 0be718c8-ba12-4b7b-b0d6-dd374873ff9f · inbound

Score-based Generative Diffusion Models to Synthesize Full-dose FDG Brain PET from MRI in Epilepsy Patients cites this paper.

Score-based Generative Diffusion Models to Synthesize Full-dose FDG Brain PET from MRI in Epilepsy Patients Fast-DDPM: Fast Denoising Diffusion Probabilistic Models for Medical Image-to-Image Generation

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-07T04:16:40.654714Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:16:40.654714Z digest=sha256:0739bf23be98cbe7b5f317ca6a6172f03a272f1281134153346d2709fc0b5615

Observation f9e337dc-2e43-4129-8cf2-7cce14b68a3c · inbound

MRI-to-CT synthesis using drifting models cites this paper.

MRI-to-CT synthesis using drifting models Fast-DDPM: Fast Denoising Diffusion Probabilistic Models for Medical Image-to-Image Generation

Reference 39

Resolution
verified exact
arxiv_id, observed 2026-05-14T01:33:35.088323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-14T01:30:19.472088Z digest=sha256:d913caacdd7715966131ceb8db28144000880d6e1f4e75980abaa5f62c850347