Paper Citation Record · LEDGER

Neural Networks Use Distance Metrics

As of 13 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 1 inbound Pith citation observation for arXiv:2411.17932.

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

pith.paper-citation-record.v1
2411.17932 v1

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T11:45:56.467880Z

measured 33 of 33 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T13:24:22.981147Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-09T13:24:23.074290Z

Reference resolution

32 of 32 outbound references displayed

verified exact0
verified fuzzy10
unresolved22
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7a342382-ff5c-4343-9861-87073057b39b · outbound

This paper cites Neural Machine Translation by Jointly Learning to Align and Translate.

Neural Networks Use Distance Metrics Neural Machine Translation by Jointly Learning to Align and Translate

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-12T11:45:56.314349Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b9342a1-4d99-45f9-af65-febd83625573 · outbound

This paper cites Probabilistic interpretation of feedforward classification network outputs, with relationships to statistical pattern recognition.

Neural Networks Use Distance Metrics Probabilistic interpretation of feedforward classification network outputs, with relationships to statistical pattern recognition

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:45:56.991219Z

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 c2e0e417-39a7-4533-857e-ce7eeee5b471 · outbound

This paper cites a ckinger, and Roopak Shah. Signature verification using a.

Neural Networks Use Distance Metrics a ckinger, and Roopak Shah. Signature verification using a

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:45:56.974922Z

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 5f05462a-0ede-46b7-8949-01de55fe9731 · outbound

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

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

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-12T11:45:56.329587Z

Source-reported events for the cited work

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Observation acadbc34-2a91-4d9d-9e86-ea0bfb80fbdb · outbound

This paper cites Encyclopedia of distances.

Neural Networks Use Distance Metrics Encyclopedia of distances

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:45:56.944750Z

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 228b40ae-854c-4ade-905a-9a61e2e24b3e · outbound

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

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

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-12T11:45:56.339820Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6766bd07-f453-4a8d-8d75-f0669956d5cb · outbound

This paper cites Deep sparse rectifier neural networks.

Neural Networks Use Distance Metrics Deep sparse rectifier neural networks

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-12T11:45:56.345033Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d7f76b06-24a8-4f88-866e-b3785a245d24 · outbound

This paper cites Explaining and Harnessing Adversarial Examples.

Neural Networks Use Distance Metrics Explaining and Harnessing Adversarial Examples

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-12T11:45:56.351580Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 621c4564-ae27-4dda-ac8f-0c2ac629f6dc · outbound

This paper cites Multilayer feedforward networks are universal approximators.

Neural Networks Use Distance Metrics Multilayer feedforward networks are universal approximators

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-12T11:45:56.357105Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0522ca44-e4bf-42ad-a9eb-dac63a0bbd5a · outbound

This paper cites Backpropagation applied to handwritten zip code recognition.

Neural Networks Use Distance Metrics Backpropagation applied to handwritten zip code recognition

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-12T11:45:56.362375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 38313674-c014-49f0-96d8-85c1e95e8c7f · outbound

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

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

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-12T11:45:56.368314Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 77d1d015-95a6-4155-be3b-e28d42970501 · outbound

This paper cites The mythos of model interpretability.

Neural Networks Use Distance Metrics The mythos of model interpretability

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-12T11:45:56.373295Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4f878994-fee7-4879-93cc-dd5c484ae71a · outbound

This paper cites Towards Deep Learning Models Resistant to Adversarial Attacks.

Neural Networks Use Distance Metrics Towards Deep Learning Models Resistant to Adversarial Attacks

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-12T11:45:56.378584Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee5714da-72c7-433e-a89e-a6b6db3bee6d · outbound

This paper cites On the generalized distance in statistics.

Neural Networks Use Distance Metrics On the generalized distance in statistics

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-12T11:45:56.383514Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ae7dbd63-b475-4ef8-ad1d-21ef18741e7a · outbound

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

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

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-12T11:45:56.388800Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e5bccdc0-be7c-4e65-a8cc-023ab5bdb3ab · outbound

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

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

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-12T11:45:56.392878Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b1c590a9-afa8-4fd7-be66-3d230498c5c1 · outbound

This paper cites Rectified linear units improve restricted boltzmann machines.

Neural Networks Use Distance Metrics Rectified linear units improve restricted boltzmann machines

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:45:56.816559Z

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 8537ea53-6e44-4d95-898d-cd5f4895d5de · outbound

This paper cites Feature visualization.

Neural Networks Use Distance Metrics Feature visualization

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-12T11:45:56.401126Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bb94a095-a281-4448-9560-2a5f2f5bbb26 · outbound

This paper cites Interpreting Neural Networks through Mahalanobis Distance.

Neural Networks Use Distance Metrics Interpreting Neural Networks through Mahalanobis Distance

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-12T11:45:56.405247Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d529c862-ec76-4070-8259-f8a2cfcd6b33 · outbound

This paper cites The perceptron: A perceiving and recognizing automaton.

Neural Networks Use Distance Metrics The perceptron: A perceiving and recognizing automaton

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:45:56.780681Z

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 50cd49f8-0ed8-49ca-bab6-73928c377b61 · outbound

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

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

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-12T11:45:56.415086Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 647a176b-995e-494f-8059-d39fd1450d5e · outbound

This paper cites Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead.

Neural Networks Use Distance Metrics Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-12T11:45:56.419628Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1aae3844-f739-42b3-8aa4-17ecf8b6539a · outbound

This paper cites Learning representations by back-propagating errors.

Neural Networks Use Distance Metrics Learning representations by back-propagating errors

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-12T11:45:56.424025Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8416ae46-e78c-4e49-9799-722bbe2760f2 · outbound

This paper cites Explainable ai: interpreting, explaining and visualizing deep learning.

Neural Networks Use Distance Metrics Explainable ai: interpreting, explaining and visualizing deep learning

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:45:56.730856Z

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 837aca24-f106-49ae-8ea6-a3251861b3f7 · outbound

This paper cites Deep learning in neural networks: An overview.

Neural Networks Use Distance Metrics Deep learning in neural networks: An overview

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:45:56.713488Z

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 f94f4ab7-b85b-4cd9-8ebe-38c2a8b878a4 · outbound

This paper cites Facenet: A unified embedding for face recognition and clustering.

Neural Networks Use Distance Metrics Facenet: A unified embedding for face recognition and clustering

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-12T11:45:56.437826Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2979c950-f9b0-4a74-b44f-23bf78761621 · outbound

This paper cites Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps.

Neural Networks Use Distance Metrics Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-12T11:45:56.442747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3cc29ae4-b095-4221-a219-c9674491a4b0 · outbound

This paper cites Intriguing properties of neural networks.

Neural Networks Use Distance Metrics Intriguing properties of neural networks

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-12T11:45:56.448052Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8310f4dc-a876-460a-97cf-67023cd40a10 · outbound

This paper cites Attention is all you need.

Neural Networks Use Distance Metrics Attention is all you need

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-12T11:45:56.453465Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a6b86d26-fd01-4b2e-bd80-1f378761c718 · outbound

This paper cites Understanding neural networks through deep visualization.

Neural Networks Use Distance Metrics Understanding neural networks through deep visualization

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:45:56.669670Z

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 bc550326-3f0d-4f6a-866f-c5f15da72c09 · outbound

This paper cites Visualizing and understanding convolutional networks.

Neural Networks Use Distance Metrics Visualizing and understanding convolutional networks

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:45:56.651445Z

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 d4d68fcb-d0ab-4330-95b9-de02e056d23f · outbound

This paper cites Learning deep features for discriminative localization.

Neural Networks Use Distance Metrics Learning deep features for discriminative localization

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:45:56.634328Z

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

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

Neural Networks Learn Distance Metrics cites this paper.

Neural Networks Learn Distance Metrics Neural Networks Use Distance Metrics

Reference 32

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

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.