Paper Citation Record · LEDGER

Sensitivity and Generalization in Neural Networks: an Empirical Study

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 21 inbound Pith citation observations for arXiv:1802.08760.

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

pith.paper-citation-record.v1
1802.08760 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 21 of 21 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:02:02.771159Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
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External citation measurements

225
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 0998d33d-4bea-4d07-b752-ab8415218469 · inbound

Robust Learning with Jacobian Regularization cites this paper.

Robust Learning with Jacobian Regularization Sensitivity and Generalization in Neural Networks: an Empirical Study

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-14T14:41:19.074474Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b8bb3032-1e96-4ca3-81bf-2d772b5abe6c · inbound

Improving analytical color and texture similarity estimation methods for dataset-agnostic person reidentification cites this paper.

Improving analytical color and texture similarity estimation methods for dataset-agnostic person reidentification Sensitivity and Generalization in Neural Networks: an Empirical Study

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-11T20:58:48.049718Z

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Observation 51ebb433-3fe5-4b46-90cf-4a3039eedc70 · inbound

Investigating generalization capabilities of neural networks by means of loss landscapes and Hessian analysis cites this paper.

Investigating generalization capabilities of neural networks by means of loss landscapes and Hessian analysis Sensitivity and Generalization in Neural Networks: an Empirical Study

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-11T16:19:55.942889Z

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Observation df711080-9d01-4850-96b7-6544f5be65e8 · inbound

Adversarially robust generalization theory via Jacobian regularization for deep neural networks cites this paper.

Adversarially robust generalization theory via Jacobian regularization for deep neural networks Sensitivity and Generalization in Neural Networks: an Empirical Study

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-11T14:11:00.895993Z

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Observation 7f88d4c6-4749-4c06-b164-6bf255f4d9fd · inbound

FedTLU: Federated Learning with Targeted Layer Updates cites this paper.

FedTLU: Federated Learning with Targeted Layer Updates Sensitivity and Generalization in Neural Networks: an Empirical Study

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-11T05:21:01.185873Z

Source-reported events for the cited work

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Observation 073e4c0e-a3b8-413d-812d-1520d31c805a · inbound

Evolution and The Knightian Blindspot of Machine Learning cites this paper.

Evolution and The Knightian Blindspot of Machine Learning Sensitivity and Generalization in Neural Networks: an Empirical Study

Reference 146

Resolution: unresolved; no resolver link, observed 2026-08-10T16:30:09.978424Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 102a43c6-6c10-44c2-a2c9-d720c7e8c292 · inbound

Harmonic Loss Trains Interpretable AI Models cites this paper.

Harmonic Loss Trains Interpretable AI Models Sensitivity and Generalization in Neural Networks: an Empirical Study

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-09T14:52:24.178284Z

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Observation 64e31a00-76f6-4753-bf56-de879aaffc62 · inbound

Adaptive kernel predictors from feature-learning infinite limits of neural networks cites this paper.

Adaptive kernel predictors from feature-learning infinite limits of neural networks Sensitivity and Generalization in Neural Networks: an Empirical Study

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-08T11:19:06.966729Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 475a044e-d6d8-489f-826b-5f9658c239c9 · inbound

Understanding Nonlinear Implicit Bias via Region Counts in Input Space cites this paper.

Understanding Nonlinear Implicit Bias via Region Counts in Input Space Sensitivity and Generalization in Neural Networks: an Empirical Study

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-15T21:02:02.771159Z

Source-reported events for the cited work

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Observation 1f29a794-0d57-4e9d-b87f-62c54a5c1c76 · inbound

Data Can Speak for Itself: Quality-guided Utilization of Wireless Synthetic Data cites this paper.

Data Can Speak for Itself: Quality-guided Utilization of Wireless Synthetic Data Sensitivity and Generalization in Neural Networks: an Empirical Study

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-06T21:54:48.536949Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 93bce62a-400b-4203-8c82-d9e18b5bfb1d · inbound

On the Complexity-Faithfulness Trade-off of Gradient-Based Explanations cites this paper.

On the Complexity-Faithfulness Trade-off of Gradient-Based Explanations Sensitivity and Generalization in Neural Networks: an Empirical Study

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-05T20:29:41.314824Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f5a3ece8-179e-4b26-9761-c68502fd85d0 · inbound

Catch-Only-One: Non-Transferable Examples for Model-Specific Authorization cites this paper.

Catch-Only-One: Non-Transferable Examples for Model-Specific Authorization Sensitivity and Generalization in Neural Networks: an Empirical Study

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-04T10:25:22.399679Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a47da518-1e04-48be-86a0-31bf9ed457fd · inbound

Discovery and recovery of crystalline materials with property-conditioned transformers cites this paper.

Discovery and recovery of crystalline materials with property-conditioned transformers Sensitivity and Generalization in Neural Networks: an Empirical Study

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-03T20:04:40.514460Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bc34ab14-5c39-4a34-a92d-1fcf996df290 · inbound

Escape dynamics and implicit bias of one-pass SGD in overparameterized quadratic networks cites this paper.

Escape dynamics and implicit bias of one-pass SGD in overparameterized quadratic networks Sensitivity and Generalization in Neural Networks: an Empirical Study

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-13T18:28:06.741859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation bd484ead-4a74-4904-bef8-210d788f2fad · inbound

Complexity of Linear Regions in Self-supervised Deep ReLU Networks cites this paper.

Complexity of Linear Regions in Self-supervised Deep ReLU Networks Sensitivity and Generalization in Neural Networks: an Empirical Study

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-05-11T21:46:48.786743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation fe143857-fd97-4f59-a95c-4f81876f7c28 · inbound

Scale-Aware Adversarial Analysis: A Diagnostic for Generative AI in Multiscale Complex Systems cites this paper.

Scale-Aware Adversarial Analysis: A Diagnostic for Generative AI in Multiscale Complex Systems Sensitivity and Generalization in Neural Networks: an Empirical Study

Reference 90

Resolution: metadata mismatch; arxiv_id, observed 2026-05-09T19:56:16.628352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 2966700d-5d13-4230-b7dd-d7414ce7612c · inbound

Geometric Asymmetry in MoE Specialization: Functional Decorrelation and Representational Overlap cites this paper.

Geometric Asymmetry in MoE Specialization: Functional Decorrelation and Representational Overlap Sensitivity and Generalization in Neural Networks: an Empirical Study

Reference 23

Resolution: metadata mismatch; local_arxiv, observed 2026-05-20T23:49:15.462665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 99f2e931-d8fa-4c4f-841b-9cc9ce596bfc · inbound

Physics-Informed Neural Network with Squeeze-Excitation-like Attention cites this paper.

Physics-Informed Neural Network with Squeeze-Excitation-like Attention Sensitivity and Generalization in Neural Networks: an Empirical Study

Reference 53

Resolution: verified exact; local_arxiv, observed 2026-07-04T03:29:30.190925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 1608126a-4b95-4cd2-8770-456507e4a521 · inbound

Seeing Through the Weights: Privacy Leakage in Scene Coordinate Regression cites this paper.

Seeing Through the Weights: Privacy Leakage in Scene Coordinate Regression Sensitivity and Generalization in Neural Networks: an Empirical Study

Reference 33

Resolution: metadata mismatch; local_arxiv, observed 2026-07-01T09:25:41.432268Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 61786735-f555-45b4-9c58-6a0ddd41f1df · inbound

SAMPLe: SAM-based Optimizer for Prompt Learning in VLMs cites this paper.

SAMPLe: SAM-based Optimizer for Prompt Learning in VLMs Sensitivity and Generalization in Neural Networks: an Empirical Study

Reference 31

Resolution: metadata mismatch; local_arxiv, observed 2026-07-11T03:07:53.085827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 1053ecab-ee32-40fd-acbe-a0b764974dc2 · inbound

SPARK: Susceptibility-Guided Profiling and Steering of Latent Reasoning States in Large Language Models cites this paper.

SPARK: Susceptibility-Guided Profiling and Steering of Latent Reasoning States in Large Language Models Sensitivity and Generalization in Neural Networks: an Empirical Study

Reference 21

Resolution: unresolved; no resolver link, observed 2026-07-14T12:50:33.254161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.