Paper Citation Record · LEDGER

Neural Networks Learn Distance Metrics

As of 15 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:2502.02103.

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

pith.paper-citation-record.v1
2502.02103 v1

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T13:24:23.011431Z

measured 40 of 40 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+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

40 of 40 outbound references displayed

verified exact2
verified fuzzy23
unresolved15
parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ec66be85-a52c-4853-978b-de8508574484 · outbound

This paper cites Boolean functions and artificial neural networks.

Neural Networks Learn Distance Metrics Boolean functions and artificial neural networks

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:24:23.536707Z

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Observation 6ace319f-96af-4b32-b03d-d8bc2b1971c3 · outbound

This paper cites Representation learning: A review and new perspectives.

Neural Networks Learn Distance Metrics Representation learning: A review and new perspectives

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-09T13:24:22.862391Z

Source-reported events for the cited work

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Observation 4aa5339e-52da-4cd0-b6c8-959734c86152 · outbound

This paper cites Signature verification using a siamese time delay neural network.

Neural Networks Learn Distance Metrics Signature verification using a siamese time delay neural network

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:24:23.514035Z

Source-reported events for the cited work

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Observation 2419d5ab-d0b5-4ddb-aada-e221cded6b04 · outbound

This paper cites Radial basis functions, multi-variable functional interpolation and adaptive networks.

Neural Networks Learn Distance Metrics Radial basis functions, multi-variable functional interpolation and adaptive networks

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:24:23.501077Z

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Observation 5ba03938-3932-4575-a3df-b2430309c46b · outbound

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

Neural Networks Learn Distance Metrics A simple framework for contrastive learning of visual representations

Reference 5

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Observation 7aa312da-404a-4a08-98a2-a5eb66dd031b · outbound

This paper cites Reducing Overfitting in Deep Networks by Decorrelating Representations.

Neural Networks Learn Distance Metrics Reducing Overfitting in Deep Networks by Decorrelating Representations

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-09T13:24:22.878432Z

Source-reported events for the cited work

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Observation 2cdd39af-b658-4566-b41a-eb6d155fe2ac · outbound

This paper cites The mnist database of handwritten digit images for machine learning research [best of the web].

Neural Networks Learn Distance Metrics The mnist database of handwritten digit images for machine learning research [best of the web]

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:24:23.479388Z

Source-reported events for the cited work

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Observation 60e50d94-024a-49fc-9939-837263385acd · outbound

This paper cites High-dimensional data analysis: The curses and blessings of dimensionality.

Neural Networks Learn Distance Metrics High-dimensional data analysis: The curses and blessings of dimensionality

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:24:23.465772Z

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Observation 89efaf36-fbe6-49bf-b3a9-891d5dfebca8 · outbound

This paper cites Visualizing higher-layer features of a deep network.

Neural Networks Learn Distance Metrics Visualizing higher-layer features of a deep network

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:24:23.451753Z

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Observation e1fbeaa9-2b3b-4a84-87c0-f5e1f4d871ad · outbound

This paper cites Deep sparse rectifier neural networks.

Neural Networks Learn Distance Metrics Deep sparse rectifier neural networks

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:24:23.438074Z

Source-reported events for the cited work

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Observation 2884da7c-92da-4c14-8250-cd7a85b8a74e · outbound

This paper cites Deep Learning.

Neural Networks Learn Distance Metrics Deep Learning

Reference 11

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Source-reported events for the cited work

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Observation 358dce1e-3216-43c4-88aa-d2549b352800 · outbound

This paper cites Qualitatively characterizing neural network optimization problems.

Neural Networks Learn Distance Metrics Qualitatively characterizing neural network optimization problems

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:24:23.415576Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation cb431ab5-1d12-410c-9427-27e44725b9e1 · outbound

This paper cites Dimensionality reduction by learning an invariant mapping.

Neural Networks Learn Distance Metrics Dimensionality reduction by learning an invariant mapping

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:24:23.401797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation a242c172-42a5-480c-82c3-28e43d28ff35 · outbound

This paper cites Delving deep into rectifiers: Surpassing human-level performance on imagenet classification.

Neural Networks Learn Distance Metrics Delving deep into rectifiers: Surpassing human-level performance on imagenet classification

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:24:23.389222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e87a0fd8-4279-4b49-aded-e9ee951b7f1a · outbound

This paper cites Momentum contrast for unsupervised visual representation learning.

Neural Networks Learn Distance Metrics Momentum contrast for unsupervised visual representation learning

Reference 15

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Observation def66431-8fa2-432e-aaa6-eb178da67017 · outbound

This paper cites Neural tangent kernel: Convergence and generalization in neural networks.

Neural Networks Learn Distance Metrics Neural tangent kernel: Convergence and generalization in neural networks

Reference 16

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Source-reported events for the cited work

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Observation e597d481-cdd6-4046-a8bd-649679892f86 · outbound

This paper cites Learning vector quantization.

Neural Networks Learn Distance Metrics Learning vector quantization

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:24:23.359515Z

Source-reported events for the cited work

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Observation a4c0702d-bcee-49d2-a8d2-8de201edbfc0 · outbound

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

Neural Networks Learn Distance Metrics Gradient-based learning applied to document recognition

Reference 18

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Source-reported events for the cited work

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Observation 9327d705-9d64-4123-b1fb-97fc36d425e6 · outbound

This paper cites Deep learning.

Neural Networks Learn Distance Metrics Deep learning

Reference 19

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Source-reported events for the cited work

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Observation 1db63dcc-73d5-41f2-8be6-ad20d638f239 · outbound

This paper cites Wide neural networks of any depth evolve as linear models under gradient descent.

Neural Networks Learn Distance Metrics Wide neural networks of any depth evolve as linear models under gradient descent

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-09T13:24:22.932011Z

Source-reported events for the cited work

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Observation a5b2be3c-5009-45eb-acfb-be3121440e16 · outbound

This paper cites Visualizing the loss landscape of neural nets.

Neural Networks Learn Distance Metrics Visualizing the loss landscape of neural nets

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:24:23.319488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 70038512-52e0-4779-a644-5ad22ee47218 · outbound

This paper cites The mythos of model interpretability.

Neural Networks Learn Distance Metrics The mythos of model interpretability

Reference 22

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Observation e89f721c-d2a6-407c-bf3d-4ec8fb6a86f9 · outbound

This paper cites On the generalized distance in statistics.

Neural Networks Learn Distance Metrics On the generalized distance in statistics

Reference 23

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 4198df5a-f39a-4f4e-9eae-1add88ff0e51 · outbound

This paper cites A logical calculus of the ideas immanent in nervous activity.

Neural Networks Learn Distance Metrics A logical calculus of the ideas immanent in nervous activity

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:24:23.283045Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 973adc3f-2e80-4556-b246-5aa94124f949 · outbound

This paper cites The mahalanobis distance and its applications in discriminant analysis.

Neural Networks Learn Distance Metrics The mahalanobis distance and its applications in discriminant analysis

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:24:23.270613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 253a7c72-92bf-460e-8071-8503e3ad9007 · outbound

This paper cites Mish: A Self Regularized Non-Monotonic Activation Function.

Neural Networks Learn Distance Metrics Mish: A Self Regularized Non-Monotonic Activation Function

Reference 26

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This paper cites Methods for interpreting and understanding deep neural networks.

Neural Networks Learn Distance Metrics Methods for interpreting and understanding deep neural networks

Reference 27

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Source-reported events for the cited work

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Observation 54543b9c-f876-4015-b9ee-3c28ae456631 · outbound

This paper cites Fast learning in networks of locally-tuned processing units.

Neural Networks Learn Distance Metrics Fast learning in networks of locally-tuned processing units

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:24:23.245663Z

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Observation 06bb2648-814f-46f6-b29b-ef5f7c141077 · outbound

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Neural Networks Learn Distance Metrics Unresolved cited work

Reference 29

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Observation f1616e93-5876-45c6-9e5b-18ab8a37e559 · outbound

This paper cites Feature visualization.

Neural Networks Learn Distance Metrics Feature visualization

Reference 30

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Observation a9b6a10e-1425-45ac-97af-195fcf719cb3 · outbound

This paper cites Interpreting Neural Networks through Mahalanobis Distance.

Neural Networks Learn Distance Metrics Interpreting Neural Networks through Mahalanobis Distance

Reference 31

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Observation c3030904-6e53-4607-850d-592716ec8048 · outbound

This paper cites Neural Networks Use Distance Metrics.

Neural Networks Learn Distance Metrics Neural Networks Use Distance Metrics

Reference 32

Resolution: verified exact; local_arxiv, observed 2026-08-09T13:24:23.080563Z

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Observation 7d54e612-07dc-4a79-8ed6-159e00f71bf8 · outbound

This paper cites Universal approximation using radial-basis-function networks.

Neural Networks Learn Distance Metrics Universal approximation using radial-basis-function networks

Reference 33

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Source-reported events for the cited work

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Observation ed968fb2-2fbd-4b0a-9da0-89a8922eb3b9 · outbound

This paper cites The Effectiveness of Data Augmentation in Image Classification using Deep Learning.

Neural Networks Learn Distance Metrics The Effectiveness of Data Augmentation in Image Classification using Deep Learning

Reference 34

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This paper cites Introduction to a general theory of elementary propositions.

Neural Networks Learn Distance Metrics Introduction to a general theory of elementary propositions

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:24:23.197170Z

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Observation 208a4e36-5b9f-40fb-9eaa-f25220e6596a · outbound

This paper cites Searching for Activation Functions.

Neural Networks Learn Distance Metrics Searching for Activation Functions

Reference 36

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Source-reported events for the cited work

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Observation c0a1e7c1-b07c-4852-9cc7-d5608cf0e16b · outbound

This paper cites The perceptron: a probabilistic model for information storage and organization in the brain.

Neural Networks Learn Distance Metrics The perceptron: a probabilistic model for information storage and organization in the brain

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:24:23.183780Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 1efca63c-f775-43fe-8fec-5255b2a44d04 · outbound

This paper cites Prototypical networks for few-shot learning.

Neural Networks Learn Distance Metrics Prototypical networks for few-shot learning

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:24:23.170041Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 4f8c2672-302c-4f24-8b71-3bd5b9194158 · outbound

This paper cites Distance metric learning for large margin nearest neighbor classification.

Neural Networks Learn Distance Metrics Distance metric learning for large margin nearest neighbor classification

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:24:23.155921Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 791dfc58-5b74-4bb4-bcee-f8ca6644a73d · outbound

This paper cites Xing, Andrew Y.

Neural Networks Learn Distance Metrics Xing, Andrew Y

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:24:23.142031Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Pith citing papers

No inbound Pith citation observations are available.