Paper Citation Record · LEDGER

A dimensionality reduction technique based on the Gromov-Wasserstein distance

As of 12 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 0 inbound Pith citation observations for arXiv:2501.13732.

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

pith.paper-citation-record.v1
2501.13732 v2

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T15:43:47.859617Z

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

17 of 17 outbound references displayed

verified exact2
verified fuzzy12
unresolved3
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 170c6581-de1a-425d-a0d6-d8e03116f86d · outbound

This paper cites an unresolved cited work.

A dimensionality reduction technique based on the Gromov-Wasserstein distance Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-10T15:43:48.143689Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 174efeff-1a4e-42f1-8d2d-a4a12e642308 · outbound

This paper cites 1, Springer, 2007.

A dimensionality reduction technique based on the Gromov-Wasserstein distance 1, Springer, 2007

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:43:48.127180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 0007a0ad-7272-4020-9006-0cda48eaa8bf · outbound

This paper cites Gromov–wasserstein distances and the metric ap- proach to object matching,.

A dimensionality reduction technique based on the Gromov-Wasserstein distance Gromov–wasserstein distances and the metric ap- proach to object matching,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:43:48.112104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation e543b484-0b75-4a91-9001-f5ff66007982 · outbound

This paper cites 338, Springer, 2009.

A dimensionality reduction technique based on the Gromov-Wasserstein distance 338, Springer, 2009

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:43:48.096874Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 6489316e-eb56-46d7-a402-712fab86ac96 · outbound

This paper cites A probabilistic graph coupling view of dimension reduction,.

A dimensionality reduction technique based on the Gromov-Wasserstein distance A probabilistic graph coupling view of dimension reduction,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:43:48.082330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 78ccde9f-2066-4b74-a8ad-4cd186d1ddaf · outbound

This paper cites Snekhorn: Dimension reduction with symmetric entropic affinities,.

A dimensionality reduction technique based on the Gromov-Wasserstein distance Snekhorn: Dimension reduction with symmetric entropic affinities,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:43:48.067460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation d339a2b3-8b6a-4767-8b4b-7f1a5d963d77 · outbound

This paper cites Visualizing data using t-sne.,.

A dimensionality reduction technique based on the Gromov-Wasserstein distance Visualizing data using t-sne.,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-10T15:43:47.812427Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de1d3385-7f45-4308-918b-7edaad2f4d45 · outbound

This paper cites Recent Advances in Optimal Transport for Machine Learning.

A dimensionality reduction technique based on the Gromov-Wasserstein distance Recent Advances in Optimal Transport for Machine Learning

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-08-10T15:43:47.939944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 9189e03e-b74c-4c19-a336-6e16f6a3bc56 · outbound

This paper cites A global geometric framework for nonlinear dimensionality reduction,.

A dimensionality reduction technique based on the Gromov-Wasserstein distance A global geometric framework for nonlinear dimensionality reduction,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:43:48.043091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 851e8eca-6e62-4ec6-a81d-dcda0daf9fa0 · outbound

This paper cites Computational optimal transport: With applications to data science,.

A dimensionality reduction technique based on the Gromov-Wasserstein distance Computational optimal transport: With applications to data science,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:43:48.029348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 437fc857-9336-4099-b0ee-29bda43c8afd · outbound

This paper cites Theory of maxima and the method of lagrange,.

A dimensionality reduction technique based on the Gromov-Wasserstein distance Theory of maxima and the method of lagrange,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:43:48.014836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 7095f88b-8172-49a5-872a-54ba9e1b9b0a · outbound

This paper cites Pytorch: An imperative style, high-performance deep learning library,.

A dimensionality reduction technique based on the Gromov-Wasserstein distance Pytorch: An imperative style, high-performance deep learning library,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:43:48.000969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 0ab4c4a2-9d32-4fa0-b73e-b49d1424937b · outbound

This paper cites Pot: Python optimal transport,.

A dimensionality reduction technique based on the Gromov-Wasserstein distance Pot: Python optimal transport,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:43:47.986629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 645d0da3-11f4-427f-b942-d14df9e3bfb3 · outbound

This paper cites En- tropic wasserstein component analysis,.

A dimensionality reduction technique based on the Gromov-Wasserstein distance En- tropic wasserstein component analysis,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:43:47.970941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 566601e3-967f-4251-bd4f-e2ef1aceeb25 · outbound

This paper cites The mnist database of handwritten digits,.

A dimensionality reduction technique based on the Gromov-Wasserstein distance The mnist database of handwritten digits,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:43:47.955733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 0f0887ef-eeba-41ce-960f-6de3b98e1e7e · outbound

This paper cites Distributional Reduction: Unifying Dimensionality Reduction and Clustering with Gromov-Wasserstein.

A dimensionality reduction technique based on the Gromov-Wasserstein distance Distributional Reduction: Unifying Dimensionality Reduction and Clustering with Gromov-Wasserstein

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-10T15:43:47.854665Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 557d86c2-ed38-429b-9285-2a71561b5b8d · outbound

This paper cites Generalized Dimension Reduction Using Semi-Relaxed Gromov-Wasserstein Distance.

A dimensionality reduction technique based on the Gromov-Wasserstein distance Generalized Dimension Reduction Using Semi-Relaxed Gromov-Wasserstein Distance

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-08-10T15:43:47.902257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Pith citing papers

No inbound Pith citation observations are available.