Pith. sign in

Paper Citation Record · LEDGER

Hyperspectral and Multispectral Image Fusion Using the Conditional Denoising Diffusion Probabilistic Model

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2307.03423.

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

pith.paper-citation-record.v1
2307.03423 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:00:36.241553Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T23:26:20.276104Z

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 ab813246-5bb4-4c77-b0d5-8d82a3ab43f1 · inbound

A Conditional Diffusion Model for Electrical Impedance Tomography Image Reconstruction cites this paper.

A Conditional Diffusion Model for Electrical Impedance Tomography Image Reconstruction Hyperspectral and Multispectral Image Fusion Using the Conditional Denoising Diffusion Probabilistic Model

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-11T05:59:31.275463Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:59:31.275463Z digest=sha256:bec7d1776fde2ffaf98310dbe4aca3fa24ed55c939bdb0bb50c3bb0b3831fc38

Observation 7dd51b7d-bcbb-4493-bb4e-f0666b70295a · inbound

Diffusion Models for Hyperspectral Image Analysis: A Comprehensive Review cites this paper.

Diffusion Models for Hyperspectral Image Analysis: A Comprehensive Review Hyperspectral and Multispectral Image Fusion Using the Conditional Denoising Diffusion Probabilistic Model

Reference 76

Resolution
unresolved
no resolver link, observed 2026-08-15T21:00:36.241553Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:00:36.241553Z digest=sha256:a9aa1db61fa90ad2f28c83872004bd60967dfdf46c30a81312f683ddfbcd2dad

Observation f99ae6da-1452-4f09-a764-c676bf63060c · inbound

DiffRIS: Enhancing Referring Remote Sensing Image Segmentation with Pre-trained Text-to-Image Diffusion Models cites this paper.

DiffRIS: Enhancing Referring Remote Sensing Image Segmentation with Pre-trained Text-to-Image Diffusion Models Hyperspectral and Multispectral Image Fusion Using the Conditional Denoising Diffusion Probabilistic Model

Reference 29

Resolution
verified exact
local_arxiv, observed 2026-08-06T23:26:20.283143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T23:26:19.896369Z digest=sha256:d5499ef1f7ce37b47d8460449f9f68386dfb5a844955352b568c6c82a0c17575