Paper Citation Record · LEDGER

Wasserstein distributional adversarial training for deep neural networks

As of 9 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 0 inbound Pith citation observations for arXiv:2502.09352.

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

pith.paper-citation-record.v1
2502.09352 v1

Coverage vector

measured 13 of 13 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T21:55:55.793497Z

measured 13 of 13 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 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

13 of 13 outbound references displayed

verified exact0
verified fuzzy7
unresolved5
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 982e348e-fd2c-4f7d-bcb4-ed597ea6213b · outbound

This paper cites Howard and S.

Wasserstein distributional adversarial training for deep neural networks Howard and S

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:55:55.928122Z

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.

Observation 729f344f-9575-4e3f-9c0e-3f7bd274194c · outbound

This paper cites Kornblith, J.

Wasserstein distributional adversarial training for deep neural networks Kornblith, J

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:55:55.916637Z

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.

Observation 399aeaa7-e9c2-4a91-b430-0ec6475ebba3 · outbound

This paper cites an unresolved cited work.

Wasserstein distributional adversarial training for deep neural networks Unresolved cited work

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T21:55:55.778095Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 405ce307-c41c-40fe-be4e-2800f01a0ea3 · outbound

This paper cites Tzeng, J.

Wasserstein distributional adversarial training for deep neural networks Tzeng, J

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:55:55.895007Z

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.

Observation 64b6c871-5f19-41ad-a7ad-7107d02a0b1b · outbound

This paper cites Yosinski, J.

Wasserstein distributional adversarial training for deep neural networks Yosinski, J

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:55:55.884697Z

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.

Observation 657f7237-0e86-4f79-b082-4968cc432a07 · outbound

This paper cites We report other pre-trained networks considered in the paper under different training configuration.

Wasserstein distributional adversarial training for deep neural networks We report other pre-trained networks considered in the paper under different training configuration

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:55:55.873666Z

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.

Observation 527d8183-1634-4068-a6db-4f4c551226e8 · outbound

This paper cites Uncovering the Limits of Adversarial Training against Norm-Bounded Adversarial Examples.

Wasserstein distributional adversarial training for deep neural networks Uncovering the Limits of Adversarial Training against Norm-Bounded Adversarial Examples

Reference 2015

Resolution: unresolved; no resolver link, observed 2026-08-07T21:55:55.755629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cb3312f0-582e-48b3-9567-12aa91eb7b6b · outbound

This paper cites an unresolved cited work.

Wasserstein distributional adversarial training for deep neural networks Unresolved cited work

Reference 2016

Resolution: unresolved; no resolver link, observed 2026-08-07T21:55:55.774368Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ed26a3a5-ff96-4189-955b-93014fa6d8d9 · outbound

This paper cites 2017.316.

Wasserstein distributional adversarial training for deep neural networks 2017.316

Reference 2017

Resolution: malformed identifier; no resolver link, observed 2026-08-07T21:55:55.785860Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1b73c896-5814-4d8e-bdec-ee55b15b0bc9 · outbound

This paper cites an unresolved cited work.

Wasserstein distributional adversarial training for deep neural networks Unresolved cited work

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-07T21:55:55.763333Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a67da373-e71b-45d2-8626-d38237db2f9c · outbound

This paper cites Li and D.

Wasserstein distributional adversarial training for deep neural networks Li and D

Reference 2019

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:55:55.906260Z

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.

Observation 43bb6588-caf1-4760-a862-b61e32aa370d · outbound

This paper cites Decoupled Kullback-Leibler Divergence Loss.

Wasserstein distributional adversarial training for deep neural networks Decoupled Kullback-Leibler Divergence Loss

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-07T21:55:55.751430Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation beac9420-4d2e-4ae5-a98e-1c958e55e3da · outbound

This paper cites Carlini and D.

Wasserstein distributional adversarial training for deep neural networks Carlini and D

Reference 2022

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:55:55.938282Z

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.

Pith citing papers

No inbound Pith citation observations are available.