Paper Citation Record · LEDGER

OUI Need to Talk About Weight Decay: A New Perspective on Overfitting Detection

As of 19 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:2504.17160.

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

pith.paper-citation-record.v1
2504.17160 v1

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:53:02.019217Z

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

34 of 34 outbound references displayed

verified exact1
verified fuzzy16
unresolved17
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 174658de-e83f-49d0-b526-f4e17aa23631 · outbound

This paper cites Approximation by superpositions of a sigmoidal function,.

OUI Need to Talk About Weight Decay: A New Perspective on Overfitting Detection Approximation by superpositions of a sigmoidal function,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-16T10:53:01.885140Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e568d6ab-ed2e-40a1-b9eb-6bc1398bd125 · outbound

This paper cites Multilayer feedforward networks are universal approximators,.

OUI Need to Talk About Weight Decay: A New Perspective on Overfitting Detection Multilayer feedforward networks are universal approximators,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-16T10:53:01.890321Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dbccb8cb-f645-45c4-acc5-3de8bc36c409 · outbound

This paper cites The expressive power of neural networks: A view from the width,.

OUI Need to Talk About Weight Decay: A New Perspective on Overfitting Detection The expressive power of neural networks: A view from the width,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:53:02.403937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation bb19aacb-77ad-4583-8f7f-e65f78026e6b · outbound

This paper cites An overview of overfitting and its solutions,.

OUI Need to Talk About Weight Decay: A New Perspective on Overfitting Detection An overview of overfitting and its solutions,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:53:02.391015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 65b61934-1358-44f3-a835-a3b76d63be17 · outbound

This paper cites A systematic review on overfitting control in shallow and deep neural networks,.

OUI Need to Talk About Weight Decay: A New Perspective on Overfitting Detection A systematic review on overfitting control in shallow and deep neural networks,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-16T10:53:01.903237Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e7d8c78e-0900-42c4-8c89-3eba197e79e6 · outbound

This paper cites Understand- ing deep learning (still) requires rethinking generalization,.

OUI Need to Talk About Weight Decay: A New Perspective on Overfitting Detection Understand- ing deep learning (still) requires rethinking generalization,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:53:02.369136Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6adaaa3a-abc0-4c8b-b3b2-076480da6a11 · outbound

This paper cites Theory of Deep Learning III: explaining the non-overfitting puzzle.

OUI Need to Talk About Weight Decay: A New Perspective on Overfitting Detection Theory of Deep Learning III: explaining the non-overfitting puzzle

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-16T10:53:01.912075Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dee83323-e4ad-482e-b030-5c842373aa8b · outbound

This paper cites A simple weight decay can improve generaliza- tion,.

OUI Need to Talk About Weight Decay: A New Perspective on Overfitting Detection A simple weight decay can improve generaliza- tion,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:53:02.356060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7424eacc-72db-45b3-9b51-4018c1b1ba47 · outbound

This paper cites Using weight decay to optimize the generalization ability of a perceptron,.

OUI Need to Talk About Weight Decay: A New Perspective on Overfitting Detection Using weight decay to optimize the generalization ability of a perceptron,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:53:02.343160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0a3243bb-b90d-4a6e-8228-bb774b9b748c · outbound

This paper cites Why do we need weight decay in modern deep learning?.

OUI Need to Talk About Weight Decay: A New Perspective on Overfitting Detection Why do we need weight decay in modern deep learning?

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:53:02.330135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b1e33946-c72e-43c1-85ae-6096e0b0dc58 · outbound

This paper cites Decoupled weight decay regularization,.

OUI Need to Talk About Weight Decay: A New Perspective on Overfitting Detection Decoupled weight decay regularization,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:53:02.317356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f266dde5-ef8b-4a1b-b9dc-f8e84b97d11b · outbound

This paper cites Optuna: A next- generation hyperparameter optimization framework,.

OUI Need to Talk About Weight Decay: A New Perspective on Overfitting Detection Optuna: A next- generation hyperparameter optimization framework,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-16T10:53:01.932146Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7aaddc9e-cb42-499e-be59-0e0547a47a02 · outbound

This paper cites A survey of safety and trustworthiness of deep neural networks: Verification, testing, adversarial attack and defence, and interpretability,.

OUI Need to Talk About Weight Decay: A New Perspective on Overfitting Detection A survey of safety and trustworthiness of deep neural networks: Verification, testing, adversarial attack and defence, and interpretability,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-16T10:53:01.936371Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9d82c86a-0148-4ef6-8881-6d88f6127f11 · outbound

This paper cites Studying the evolution of neural activation patterns during training of feed-forward ReLU networks,.

OUI Need to Talk About Weight Decay: A New Perspective on Overfitting Detection Studying the evolution of neural activation patterns during training of feed-forward ReLU networks,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:53:02.287836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5fb2f7d7-7096-4503-ad32-dd98f595f00a · outbound

This paper cites Adaptive weight decay for deep neural networks,.

OUI Need to Talk About Weight Decay: A New Perspective on Overfitting Detection Adaptive weight decay for deep neural networks,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:53:02.274793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6dbbd37d-ac91-42c9-8776-5e560a87c613 · outbound

This paper cites On the training dynamics of deep networks with L2 regularization,.

OUI Need to Talk About Weight Decay: A New Perspective on Overfitting Detection On the training dynamics of deep networks with L2 regularization,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:53:02.260862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2e43e7b0-b353-4bc4-bf4e-0600056280ad · outbound

This paper cites Improving robustness with adaptive weight decay,.

OUI Need to Talk About Weight Decay: A New Perspective on Overfitting Detection Improving robustness with adaptive weight decay,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:53:02.248373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 41338f94-a1c3-4862-a438-70856dbfbc64 · outbound

This paper cites Layer-wise weight decay for deep neural networks,.

OUI Need to Talk About Weight Decay: A New Perspective on Overfitting Detection Layer-wise weight decay for deep neural networks,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:53:02.235505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation cdc102e3-3ec2-4b8d-84f9-ce3b0bbf5441 · outbound

This paper cites Overfitting measurement of convolutional neural networks using trained network weights,.

OUI Need to Talk About Weight Decay: A New Perspective on Overfitting Detection Overfitting measurement of convolutional neural networks using trained network weights,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:53:02.221543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 77be1a4f-785d-4fb8-b0b6-a2ec46caa805 · outbound

This paper cites Quantifying overfitting: Evaluating neural network performance through analysis of null space,.

OUI Need to Talk About Weight Decay: A New Perspective on Overfitting Detection Quantifying overfitting: Evaluating neural network performance through analysis of null space,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:53:02.208668Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d79c1ad7-c0bc-47ff-903c-7be189e7ca84 · outbound

This paper cites Visualizing and understanding convolu- tional networks,.

OUI Need to Talk About Weight Decay: A New Perspective on Overfitting Detection Visualizing and understanding convolu- tional networks,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-16T10:53:01.968145Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d55a177e-ef30-46bf-b64b-5a3d8697d675 · outbound

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

OUI Need to Talk About Weight Decay: A New Perspective on Overfitting Detection Methods for interpreting and understanding deep neural networks,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-16T10:53:01.972026Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b4eb2b64-4256-4ade-9a51-ca36c9fc7887 · outbound

This paper cites Un- derstanding activation patterns in artificial neural networks by exploring stochastic processes: Discriminating generalization from memorization,.

OUI Need to Talk About Weight Decay: A New Perspective on Overfitting Detection Un- derstanding activation patterns in artificial neural networks by exploring stochastic processes: Discriminating generalization from memorization,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:53:02.179448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e8d9685f-20ec-4233-9db9-67448219303e · outbound

This paper cites GreenLightningAI: An Efficient AI System with Decoupled Structural and Quantitative Knowledge.

OUI Need to Talk About Weight Decay: A New Perspective on Overfitting Detection GreenLightningAI: An Efficient AI System with Decoupled Structural and Quantitative Knowledge

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-08-16T10:53:02.058062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9eebdf26-f6a7-4320-9738-13c84f65e315 · outbound

This paper cites Decoupling structural and quantitative knowledge in relu-based deep neural networks,.

OUI Need to Talk About Weight Decay: A New Perspective on Overfitting Detection Decoupling structural and quantitative knowledge in relu-based deep neural networks,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:53:02.165872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9d5d9e97-4cc2-4dd7-9316-c0d2adbffddf · outbound

This paper cites Deep residual learning for image recognition,.

OUI Need to Talk About Weight Decay: A New Perspective on Overfitting Detection Deep residual learning for image recognition,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-16T10:53:01.987812Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c447bf07-5df1-4501-92ca-da00ce7f60d5 · outbound

This paper cites Very deep convolutional networks for large-scale image recognition,.

OUI Need to Talk About Weight Decay: A New Perspective on Overfitting Detection Very deep convolutional networks for large-scale image recognition,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-16T10:53:01.992043Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 80486838-d1fb-473c-817d-1114531c1c71 · outbound

This paper cites Densely connected convolutional networks,.

OUI Need to Talk About Weight Decay: A New Perspective on Overfitting Detection Densely connected convolutional networks,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-16T10:53:01.995992Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2c35de3f-ee2a-45e4-b6e3-8b35dbf63836 · outbound

This paper cites Imagenet: A large-scale hierarchical image database,.

OUI Need to Talk About Weight Decay: A New Perspective on Overfitting Detection Imagenet: A large-scale hierarchical image database,

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-16T10:53:01.999872Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b7cca3c-f7b8-4271-9bbc-5333c58c5ac7 · outbound

This paper cites Imagenet classification with deep convolutional neural networks,.

OUI Need to Talk About Weight Decay: A New Perspective on Overfitting Detection Imagenet classification with deep convolutional neural networks,

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-16T10:53:02.003736Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a627d38e-54dc-4cac-ae32-38882dd37ed6 · outbound

This paper cites Attention is all you need,.

OUI Need to Talk About Weight Decay: A New Perspective on Overfitting Detection Attention is all you need,

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-16T10:53:02.007673Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d4243fc3-4c67-4c69-bf0d-4c76c3c6348e · outbound

This paper cites An image is worth 16x16 words: Trans- formers for image recognition at scale,.

OUI Need to Talk About Weight Decay: A New Perspective on Overfitting Detection An image is worth 16x16 words: Trans- formers for image recognition at scale,

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-16T10:53:02.011436Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 48f8a4db-70dd-4a8c-8e69-defcab42aad0 · outbound

This paper cites EfficientNet: Rethinking model scaling for con- volutional neural networks,.

OUI Need to Talk About Weight Decay: A New Perspective on Overfitting Detection EfficientNet: Rethinking model scaling for con- volutional neural networks,

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-16T10:53:02.015294Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1e733a35-4f03-4dce-b5a2-475f532cfc3b · outbound

This paper cites an unresolved cited work.

OUI Need to Talk About Weight Decay: A New Perspective on Overfitting Detection Unresolved cited work

Reference 34

Resolution: unresolved; raw_fallback, observed 2026-08-16T10:53:02.086677Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Pith citing papers

No inbound Pith citation observations are available.