Paper Citation Record · LEDGER

Adaptivity and Convergence of Probability Flow ODEs in Diffusion Generative Models

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2501.18863.

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

pith.paper-citation-record.v1
2501.18863 v1

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 2026-08-07T06:34:17.273281+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:49:48.434176Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T06:17:41.553379Z

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 21eccdb0-88ea-4959-9544-6feffc4c6e90 · inbound

Fast Convergence for High-Order ODE Solvers in Diffusion Probabilistic Models cites this paper.

Fast Convergence for High-Order ODE Solvers in Diffusion Probabilistic Models Adaptivity and Convergence of Probability Flow ODEs in Diffusion Generative Models

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-07T00:49:48.434176Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a03caea2-b356-4fb5-9363-30596b33917e · inbound

Faster Diffusion Models via Higher-Order Approximation cites this paper.

Faster Diffusion Models via Higher-Order Approximation Adaptivity and Convergence of Probability Flow ODEs in Diffusion Generative Models

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-06T21:45:16.967269Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 09442017-030a-4687-a112-d14fcd7da792 · inbound

Intrinsic Wasserstein Rates for Score-Based Generative Models on Smooth Manifolds cites this paper.

Intrinsic Wasserstein Rates for Score-Based Generative Models on Smooth Manifolds Adaptivity and Convergence of Probability Flow ODEs in Diffusion Generative Models

Reference 47

Resolution: verified exact; arxiv_id, observed 2026-05-20T20:53:43.744660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f53608d9-9ac3-4026-9b45-3e1fa9ba1b21 · inbound

Higher-order Diffusion Sampling via Chebyshev Interpolation and Gauss--Seidel Iterations cites this paper.

Higher-order Diffusion Sampling via Chebyshev Interpolation and Gauss--Seidel Iterations Adaptivity and Convergence of Probability Flow ODEs in Diffusion Generative Models

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-07-03T06:17:41.554693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.