Paper Citation Record · LEDGER

Poisson Flow Generative Models

As of 24 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2209.11178.

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

pith.paper-citation-record.v1
2209.11178 v4

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 2026-08-23T06:30:58.430688+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:52:24.557444Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T22:29:00.700271Z

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 c07944b5-6e81-4195-9f0a-6aa7245861c9 · inbound

Optical Physics-Based Generative Models cites this paper.

Optical Physics-Based Generative Models Poisson Flow Generative Models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T10:52:24.557444Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7ffb39a3-0788-4f6f-a990-61dea6c88d6a · inbound

Generative models on phase space cites this paper.

Generative models on phase space Poisson Flow Generative Models

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-05-13T20:53:15.483880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 0d9983f8-0f82-4305-a120-2a7927ee1517 · inbound

Reconstructing Galactic Gravitational Potentials from Stellar Kinematics with Physics-Informed Neural Networks cites this paper.

Reconstructing Galactic Gravitational Potentials from Stellar Kinematics with Physics-Informed Neural Networks Poisson Flow Generative Models

Reference 87

Resolution: verified exact; arxiv_id, observed 2026-07-03T22:29:00.702055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b1e9c12a-0097-470c-809d-426312916776 · inbound

Beckmann Transport Models: From Autonomous Flows to One-Step Maps cites this paper.

Beckmann Transport Models: From Autonomous Flows to One-Step Maps Poisson Flow Generative Models

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T00:16:56.404840Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.