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Paper Citation Record · LEDGER

Conditional Wasserstein Distances with Applications in Bayesian OT Flow Matching

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 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 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:12:39.447692Z

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 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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-23T04:37:05.920469Z digest=sha256:72b7d9d0f8a9da4db80b4a68c027eb10ead99455a76c122f4d11d12e612504cf

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.

source=pdf_text observed=2026-08-07T15:12:39.447692Z digest=sha256:6e67c2a93c45c654e7612bfd54e799a139f7bd18da133ff5690724fb53352bc0

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.

source=pdf_text observed=2026-08-06T10:18:25.152152Z digest=sha256:468eb1e1259f470201b2109716674111dbabae7fdce56f0b532a7b3a2345facc