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Paper Citation Record · LEDGER

Meta Flow Matching: Integrating Vector Fields on the Wasserstein Manifold

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2408.14608.

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

pith.paper-citation-record.v1
2408.14608 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T20:58:42.976548Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T22:23:48.133738Z

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 c96d5932-a040-4879-9e0e-30316210d960 · inbound

Designing a Conditional Prior Distribution for Flow-Based Generative Models cites this paper.

Designing a Conditional Prior Distribution for Flow-Based Generative Models Meta Flow Matching: Integrating Vector Fields on the Wasserstein Manifold

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-07T20:58:42.976548Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T20:58:42.976548Z digest=sha256:5edc8812745c0d505b1cbd7c806fd53389f2edc00254877e0f0a8e4f2f16baf1

Observation cce3cefa-4bb6-49b3-b7b8-2cccd863ed35 · inbound

Oh SnapMMD! Forecasting Stochastic Dynamics Beyond the Schr\"odinger Bridge's End cites this paper.

Oh SnapMMD! Forecasting Stochastic Dynamics Beyond the Schr\"odinger Bridge's End Meta Flow Matching: Integrating Vector Fields on the Wasserstein Manifold

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-07T15:13:01.237702Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:13:01.237702Z digest=sha256:3627b1a7f4ca8567cc2b3bd9d74ebbd1dd3f221edfb98d90f612c86d0619edda

Observation 5257a75e-e568-4d40-9397-3befb825bde2 · inbound

A Call to Lagrangian Action: Learning Population Mechanics from Temporal Snapshots cites this paper.

A Call to Lagrangian Action: Learning Population Mechanics from Temporal Snapshots Meta Flow Matching: Integrating Vector Fields on the Wasserstein Manifold

Reference 41

Resolution
verified exact
arxiv_id, observed 2026-05-12T08:06:27.149741Z

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=arxiv_source observed=2026-05-12T01:20:12.816671Z digest=sha256:090b2dc229e7081e16d911b233eb6fa6c05f5c6c501c2245db9de51f448d4894

Observation 2c6e39ff-26f6-4116-bef7-e634db319c73 · inbound

A Call to Lagrangian Action: Learning Population Mechanics from Temporal Snapshots cites this paper.

A Call to Lagrangian Action: Learning Population Mechanics from Temporal Snapshots Meta Flow Matching: Integrating Vector Fields on the Wasserstein Manifold

Reference 41

Resolution
verified exact
arxiv_id, observed 2026-05-14T20:52:59.185430Z

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=arxiv_source observed=2026-05-14T20:49:26.890463Z digest=sha256:66d569377439d3e1181b5d39ec180e364a2435dde210cf2100660abd8c8be0cf

Observation 272ed693-b4c1-4fc6-8fdd-47cb1b3ee03d · inbound

A Call to Lagrangian Action: Learning Population Mechanics from Temporal Snapshots cites this paper.

A Call to Lagrangian Action: Learning Population Mechanics from Temporal Snapshots Meta Flow Matching: Integrating Vector Fields on the Wasserstein Manifold

Reference 41

Resolution
verified exact
arxiv_id, observed 2026-05-20T22:23:48.136279Z

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=arxiv_source observed=2026-05-20T22:20:03.150386Z digest=sha256:63b56a3a9ca995a717a55595bef21a56cd2c07eaedeb849ddb7edf4be18dd011