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Paper Citation Record · LEDGER

Heavy-Tailed Diffusion with Denoising L\'evy Probabilistic Models

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2407.18609.

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

pith.paper-citation-record.v1
2407.18609 v4

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 2026-08-09T06:31:02.800959+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T00:33:18.162553Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T00:33:20.317670Z

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 06acfd2a-d874-426f-aa39-f0ffa899aa73 · inbound

Deep Neural Networks Inspired by Differential Equations cites this paper.

Deep Neural Networks Inspired by Differential Equations Heavy-Tailed Diffusion with Denoising L\'evy Probabilistic Models

Reference 218

Resolution
unresolved
no resolver link, observed 2026-08-04T10:54:38.983675Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T10:54:38.983675Z digest=sha256:58263d72ce54820fe9612890914633e14bb3ef362384115196b87130cd20ad8b

Observation 2369bc5a-c315-48b8-bd36-db1c8cafd2dc · inbound

Denoising Subordinated Probabilistic Models: Diffusion with a Tempered-Stable Volatility Clock, and What the Noise Mechanism Actually Controls cites this paper.

Denoising Subordinated Probabilistic Models: Diffusion with a Tempered-Stable Volatility Clock, and What the Noise Mechanism Actually Controls Heavy-Tailed Diffusion with Denoising L\'evy Probabilistic Models

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-01T13:15:19.942772Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T13:15:19.942772Z digest=sha256:e52d1f4d3c9df66dccc66938f93b702bf5876f3136764722e6a511cc5d2ba112

Observation a30a92e3-40fe-461c-b85d-e0a4d579f3a2 · inbound

Perspectives on Tsallis Statistics for Artificial Intelligence cites this paper.

Perspectives on Tsallis Statistics for Artificial Intelligence Heavy-Tailed Diffusion with Denoising L\'evy Probabilistic Models

Reference 42

Resolution
verified exact
local_arxiv, observed 2026-08-06T00:33:20.324152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T00:33:18.162553Z digest=sha256:479544a234d85535468686a6811bd8ec9255c19fa024af6af3da6a99fa79b4af