Paper Citation Record · LEDGER

Learning with minibatch Wasserstein : asymptotic and gradient properties

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:1910.04091.

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

pith.paper-citation-record.v1
1910.04091 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 2026-08-18T06:34:40.430872+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:42:14.263758Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T00:12:50.537401Z

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 c9bb5cc4-4724-47fe-add8-94d4c9bf6966 · 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 Learning with minibatch Wasserstein : asymptotic and gradient properties

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-12T21:51:05.125028Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cab46656-3757-4c57-b4bd-beb842fb6cb9 · inbound

Model alignment using inter-modal bridges cites this paper.

Model alignment using inter-modal bridges Learning with minibatch Wasserstein : asymptotic and gradient properties

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-15T20:42:14.263758Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8f77d021-021b-4aa8-950a-18a84a576e11 · inbound

Wasserstein normalized autoencoder for anomaly detection cites this paper.

Wasserstein normalized autoencoder for anomaly detection Learning with minibatch Wasserstein : asymptotic and gradient properties

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-04T12:47:53.555151Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dae9fe85-7f0a-4178-bf13-b694d98c696f · inbound

Multivariate Distributional Reinforcement Learning Using Sliced Divergences cites this paper.

Multivariate Distributional Reinforcement Learning Using Sliced Divergences Learning with minibatch Wasserstein : asymptotic and gradient properties

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-06-29T00:12:50.539013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.