Paper Citation Record · LEDGER

Convergence Analysis of Probability Flow ODE for Score-based Generative Models

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2404.09730.

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

pith.paper-citation-record.v1
2404.09730 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 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 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:45:13.445711Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T12:49:52.508791Z

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 494caaac-67ad-4bbb-bfe5-8426c879e4fc · inbound

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

Faster Diffusion Models via Higher-Order Approximation Convergence Analysis of Probability Flow ODE for Score-based Generative Models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T21:45:13.445711Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 29147224-0917-476e-a352-e846bf5b954d · inbound

Generalization bounds for score-based generative models: a synthetic proof cites this paper.

Generalization bounds for score-based generative models: a synthetic proof Convergence Analysis of Probability Flow ODE for Score-based Generative Models

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-06T19:54:28.749964Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4d33a093-1aa3-4221-980c-ab53ed55501c · inbound

ART for Diffusion Sampling: A Reinforcement Learning Approach to Timestep Schedule cites this paper.

ART for Diffusion Sampling: A Reinforcement Learning Approach to Timestep Schedule Convergence Analysis of Probability Flow ODE for Score-based Generative Models

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-16T10:42:45.304309Z

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 5829e94e-0d95-47a5-b159-61073e534d47 · inbound

Diffusion Models Adapt to Low-Dimensional Structure Under Flexible Coefficient Choices cites this paper.

Diffusion Models Adapt to Low-Dimensional Structure Under Flexible Coefficient Choices Convergence Analysis of Probability Flow ODE for Score-based Generative Models

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-07-04T12:49:52.510076Z

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 fc220e2b-f7bd-48eb-aa84-c8e4247fe511 · inbound

ART for Diffusion Sampling: Continuous-Time Control and Actor-Critic Learning cites this paper.

ART for Diffusion Sampling: Continuous-Time Control and Actor-Critic Learning Convergence Analysis of Probability Flow ODE for Score-based Generative Models

Reference 3

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T17:18:43.043243Z

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 5135dc5b-42b0-406e-87e4-65f7a55e033e · inbound

ART for Diffusion Sampling: Continuous-Time Control and Actor-Critic Learning cites this paper.

ART for Diffusion Sampling: Continuous-Time Control and Actor-Critic Learning Convergence Analysis of Probability Flow ODE for Score-based Generative Models

Reference 4

Resolution: unresolved; no resolver link, observed 2026-07-12T08:25:48.021715Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.