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Paper Citation Record · LEDGER

Generative diffusion models from a PDE perspective

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2501.17054.

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

pith.paper-citation-record.v1
2501.17054 v1

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 2026-08-20T06:33:59.587034+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T10:54:20.390273Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T07:37:44.659508Z

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 a30d87cd-c42d-4e80-bac2-bf87251e3d9b · inbound

Deep Neural Networks Inspired by Differential Equations cites this paper.

Deep Neural Networks Inspired by Differential Equations Generative diffusion models from a PDE perspective

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-04T10:54:20.390273Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T10:54:20.390273Z digest=sha256:e6af920f72b26266a48d4160221b4d3af1586d8b3d3283a1bd9d3fa1569ebf1c

Observation 9f9ef933-b299-41c1-b48c-a58d521ba580 · inbound

A PDE-Based Framework for Generative Modeling Beyond Classical Score-Based Diffusion cites this paper.

A PDE-Based Framework for Generative Modeling Beyond Classical Score-Based Diffusion Generative diffusion models from a PDE perspective

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-07-03T07:37:44.660634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-07-03T07:32:11.936558Z digest=sha256:6c009c902c649ab07552671a093222dc321aa06269643e567936bc5e5428b2ba