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Paper Citation Record · LEDGER

Unifying and extending Diffusion Models through PDEs for solving Inverse Problems

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2504.07437.

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

pith.paper-citation-record.v1
2504.07437 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:42:16.751057Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T10:54:51.027530Z

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 9b8d444f-4746-4443-a5f7-967ce5f6ad10 · inbound

Solving Inverse Problems via Diffusion-Based Priors: An Approximation-Free Ensemble Sampling Approach cites this paper.

Solving Inverse Problems via Diffusion-Based Priors: An Approximation-Free Ensemble Sampling Approach Unifying and extending Diffusion Models through PDEs for solving Inverse Problems

Reference 191

Resolution
verified exact
local_arxiv, observed 2026-08-07T10:54:51.031630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T10:54:50.326542Z digest=sha256:1fb88c715b9a8255e6a42053d2db60b251e536afa4f4fc47be252e5b2bc605e0

Observation f1426e42-7dfb-4e0a-8bfc-c3a1241da9c3 · inbound

Time-dependent density estimation using binary classifiers cites this paper.

Time-dependent density estimation using binary classifiers Unifying and extending Diffusion Models through PDEs for solving Inverse Problems

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-15T19:42:16.751057Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:42:16.751057Z digest=sha256:ad714a16856aee9dbd270ec9d6739223463f24119ca3a2d3bbc33b984cd73bf2