Paper Citation Record · LEDGER

Universal Training of Neural Networks to Achieve Bayes Optimal Classification Accuracy

As of 24 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2501.07754.

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

pith.paper-citation-record.v1
2501.07754 v1

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:45:21.388508Z

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+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

30 of 30 outbound references displayed

verified exact1
verified fuzzy20
unresolved9
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malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e21c5802-7d99-4816-ae0d-a33915565039 · outbound

This paper cites Optimal bounds between f-divergences and integral probability metrics.

Universal Training of Neural Networks to Achieve Bayes Optimal Classification Accuracy Optimal bounds between f-divergences and integral probability metrics

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6a5feef0-9bfa-4313-9acf-331036faae0e · outbound

This paper cites A general class of coefficients of divergence of one distribution from another.

Universal Training of Neural Networks to Achieve Bayes Optimal Classification Accuracy A general class of coefficients of divergence of one distribution from another

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:45:21.899729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b402278e-b21e-4262-8d85-ef39c38ac4a2 · outbound

This paper cites Wasserstein generative adversarial networks.

Universal Training of Neural Networks to Achieve Bayes Optimal Classification Accuracy Wasserstein generative adversarial networks

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-10T20:45:21.242390Z

Source-reported events for the cited work

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Observation 0519957c-7fd8-4dc1-a3f0-c2091f3e1ebf · outbound

This paper cites an unresolved cited work.

Universal Training of Neural Networks to Achieve Bayes Optimal Classification Accuracy Unresolved cited work

Reference 4

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Source-reported events for the cited work

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Observation f9bcb774-d6b6-4bc8-b473-77b33f22dcfd · outbound

This paper cites A simple framework for contrastive learning of visual representations.

Universal Training of Neural Networks to Achieve Bayes Optimal Classification Accuracy A simple framework for contrastive learning of visual representations

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:45:21.863399Z

Source-reported events for the cited work

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Observation 3c563e86-99b6-44e4-aaa8-9715a21bb840 · outbound

This paper cites Information-type measures of difference of probability distributions and indirect observations.

Universal Training of Neural Networks to Achieve Bayes Optimal Classification Accuracy Information-type measures of difference of probability distributions and indirect observations

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:45:21.847122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 6d0a3e34-db5d-4f8b-9c2c-6de0411998eb · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

Universal Training of Neural Networks to Achieve Bayes Optimal Classification Accuracy BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-10T20:45:21.265990Z

Source-reported events for the cited work

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Observation 1ba1946f-61e1-4d1c-969e-6e6ba688b484 · outbound

This paper cites A Probabilistic Theory of Pattern Recognition, volume 31.

Universal Training of Neural Networks to Achieve Bayes Optimal Classification Accuracy A Probabilistic Theory of Pattern Recognition, volume 31

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:45:21.830016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 7fd670f1-1e1f-4f4b-a288-82579b2af184 · outbound

This paper cites Duda, Peter E.

Universal Training of Neural Networks to Achieve Bayes Optimal Classification Accuracy Duda, Peter E

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:45:21.813554Z

Source-reported events for the cited work

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Observation bb6c9616-ecdf-4ba7-bf99-4705ec16f179 · outbound

This paper cites Introduction to Statistical Pattern Recognition.

Universal Training of Neural Networks to Achieve Bayes Optimal Classification Accuracy Introduction to Statistical Pattern Recognition

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:45:21.795660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 584e6f82-4273-47ce-bc84-2103c00b518a · outbound

This paper cites Deep Learning.

Universal Training of Neural Networks to Achieve Bayes Optimal Classification Accuracy Deep Learning

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:45:21.778581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 2b9498c2-c19a-45e0-be33-99877a9a0cc2 · outbound

This paper cites A kernel two-sample test.

Universal Training of Neural Networks to Achieve Bayes Optimal Classification Accuracy A kernel two-sample test

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:45:21.762996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation fafe3695-16ae-41c7-abaa-956c5b8ffa90 · outbound

This paper cites The Elements of Statistical Learning: Data Mining, Inference, and Prediction.

Universal Training of Neural Networks to Achieve Bayes Optimal Classification Accuracy The Elements of Statistical Learning: Data Mining, Inference, and Prediction

Reference 13

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Source-reported events for the cited work

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Observation 1fcc00a0-60c7-4121-b8ad-9152a2b08eeb · outbound

This paper cites Deep residual learning for image recognition.

Universal Training of Neural Networks to Achieve Bayes Optimal Classification Accuracy Deep residual learning for image recognition

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:45:21.734154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c6f8dbbf-c51f-407e-8a5e-9aa476fffbc1 · outbound

This paper cites Approximation capabilities of multilayer feedforward networks.

Universal Training of Neural Networks to Achieve Bayes Optimal Classification Accuracy Approximation capabilities of multilayer feedforward networks

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:45:21.717476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 4f6783a3-c507-4665-8530-6cc38278c2f5 · outbound

This paper cites Is the performance of my deep network too good to be true? a direct approach to estimating the bayes error in binary classification.

Universal Training of Neural Networks to Achieve Bayes Optimal Classification Accuracy Is the performance of my deep network too good to be true? a direct approach to estimating the bayes error in binary classification

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:45:21.700632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 3c7dd6be-203c-435e-bc29-be15bf6c1191 · outbound

This paper cites Fantastic generalization measures and where to find them.

Universal Training of Neural Networks to Achieve Bayes Optimal Classification Accuracy Fantastic generalization measures and where to find them

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:45:21.682997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 8492a40f-d413-4ef2-a3f1-5496c810b49b · outbound

This paper cites Learning multiple layers of features from tiny images.

Universal Training of Neural Networks to Achieve Bayes Optimal Classification Accuracy Learning multiple layers of features from tiny images

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:45:21.665512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 7a716d1a-bf0f-4f96-b245-8faaa658271f · outbound

This paper cites Gradient-based learning applied to document recognition.

Universal Training of Neural Networks to Achieve Bayes Optimal Classification Accuracy Gradient-based learning applied to document recognition

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-10T20:45:21.329860Z

Source-reported events for the cited work

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Observation 362f59cb-4761-40b6-9071-f9bfe841e095 · outbound

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Universal Training of Neural Networks to Achieve Bayes Optimal Classification Accuracy Unresolved cited work

Reference 20

Resolution: unresolved; raw_fallback, observed 2026-08-10T20:45:21.635994Z

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Observation 69cd2972-7e7c-4f87-a025-5e302d0ceb7e · outbound

This paper cites Divergences and information in statistics.

Universal Training of Neural Networks to Achieve Bayes Optimal Classification Accuracy Divergences and information in statistics

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:45:21.617348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 66a34937-3e91-4fee-a4de-89c874e568f2 · outbound

This paper cites Learning word vectors for sentiment analysis.

Universal Training of Neural Networks to Achieve Bayes Optimal Classification Accuracy Learning word vectors for sentiment analysis

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:45:21.597250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 31601813-8d3e-4133-9bb5-1b26b4854632 · outbound

This paper cites Learning to Benchmark: Determining Best Achievable Misclassification Error from Training Data.

Universal Training of Neural Networks to Achieve Bayes Optimal Classification Accuracy Learning to Benchmark: Determining Best Achievable Misclassification Error from Training Data

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-08-10T20:45:21.456810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 7c58e3fa-7f02-4be6-8a16-53ae924aa968 · outbound

This paper cites f-gan: Training generative neural samplers using variational divergence minimization.

Universal Training of Neural Networks to Achieve Bayes Optimal Classification Accuracy f-gan: Training generative neural samplers using variational divergence minimization

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:45:21.579853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e8ccd66a-7616-4ac3-865c-59d82f60ca17 · outbound

This paper cites PyTorch Documentation: ReduceLROnPlateau.

Universal Training of Neural Networks to Achieve Bayes Optimal Classification Accuracy PyTorch Documentation: ReduceLROnPlateau

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:45:21.562366Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a235e865-5834-4c0f-9542-0b11ea36b131 · outbound

This paper cites Varshney, Caiming Xiong, and Richard Socher.

Universal Training of Neural Networks to Achieve Bayes Optimal Classification Accuracy Varshney, Caiming Xiong, and Richard Socher

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:45:21.545483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e420486c-e628-465e-8837-93c1f6d99c3a · outbound

This paper cites Contrastive multiview coding.

Universal Training of Neural Networks to Achieve Bayes Optimal Classification Accuracy Contrastive multiview coding

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:45:21.528396Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 2e86c8b9-bfe0-4857-b63e-3c2990d405e5 · outbound

This paper cites Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms.

Universal Training of Neural Networks to Achieve Bayes Optimal Classification Accuracy Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms

Reference 28

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Observation 6b791b10-289b-4c01-a9af-58394cc223f7 · outbound

This paper cites Understanding deep learning (still) requires rethinking generalization.

Universal Training of Neural Networks to Achieve Bayes Optimal Classification Accuracy Understanding deep learning (still) requires rethinking generalization

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-10T20:45:21.383511Z

Source-reported events for the cited work

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Observation fe6f43aa-64c8-4954-bade-5d3e0bf60ba3 · outbound

This paper cites Certified robust accuracy of neural networks are bounded due to bayes error.

Universal Training of Neural Networks to Achieve Bayes Optimal Classification Accuracy Certified robust accuracy of neural networks are bounded due to bayes error

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:45:21.496731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Pith citing papers

No inbound Pith citation observations are available.