Paper Citation Record · LEDGER

Conditional Wasserstein Distances with Applications in Bayesian OT Flow Matching

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2403.18705.

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

pith.paper-citation-record.v1
2403.18705 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 2026-08-20T06:33:59.587034+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T21:51:04.928986Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T04:37:31.755897Z

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 86690beb-3c58-4f65-86cb-b82a4b74ee71 · inbound

Modeling Stochastic Conditional Dynamics from Sparse Observations via Kernel-Stabilized Flow Matching cites this paper.

Modeling Stochastic Conditional Dynamics from Sparse Observations via Kernel-Stabilized Flow Matching Conditional Wasserstein Distances with Applications in Bayesian OT Flow Matching

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-12T21:51:04.928986Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ff1dbd27-1181-42d8-954f-e35fa4d41cf8 · inbound

An Eulerian approach to regularized JKO scheme with low-rank tensor decompositions for Bayesian inversion cites this paper.

An Eulerian approach to regularized JKO scheme with low-rank tensor decompositions for Bayesian inversion Conditional Wasserstein Distances with Applications in Bayesian OT Flow Matching

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-12T17:39:16.509003Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba508f37-b21d-4d8d-a0f6-7a6e29e76f0a · inbound

Flow Matching: Markov Kernels, Stochastic Processes and Transport Plans cites this paper.

Flow Matching: Markov Kernels, Stochastic Processes and Transport Plans Conditional Wasserstein Distances with Applications in Bayesian OT Flow Matching

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-23T04:37:31.758950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 1c4203dd-af8a-4f3e-86e0-d11d984e7e26 · inbound

Tightening Causal Bounds via Covariate-Aware Optimal Transport cites this paper.

Tightening Causal Bounds via Covariate-Aware Optimal Transport Conditional Wasserstein Distances with Applications in Bayesian OT Flow Matching

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-09T16:28:08.909866Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 608eaf33-7af6-4f7b-88ba-19f4cfcc8d7c · inbound

Source Separation by Flow Matching cites this paper.

Source Separation by Flow Matching Conditional Wasserstein Distances with Applications in Bayesian OT Flow Matching

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T15:12:39.447692Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7ba429c0-fdf1-451f-bcba-3b2c61869be8 · inbound

PnP-DA: Towards Principled Plug-and-Play Integration of Variational Data Assimilation and Generative Models cites this paper.

PnP-DA: Towards Principled Plug-and-Play Integration of Variational Data Assimilation and Generative Models Conditional Wasserstein Distances with Applications in Bayesian OT Flow Matching

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T10:18:25.152152Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.