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Paper Citation Record · LEDGER

Sensitivity and Generalization in Neural Networks: an Empirical Study

As of 23 July 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 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 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-07-23T06:31:01.910684+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-14T12:50:33.254161Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-11T03:07:53.061277Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

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 2026-07-23T06:31:01.910684+00:00.

source=pdf_text observed=2026-05-13T18:23:30.626793Z digest=sha256:3732ceb41784539f57c71564495a3db0d85a47bb1cfa1e530489feebd79d8141

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 2026-07-23T06:31:01.910684+00:00.

source=pdf_text observed=2026-05-08T04:18:11.839205Z digest=sha256:7dcc012d8e50a470d16ec218871583509761d5e9255f2a404ff89c6a54c658cb

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 2026-07-23T06:31:01.910684+00:00.

source=arxiv_source observed=2026-05-09T19:56:13.911743Z digest=sha256:77089376dd5d929f05e43b710bea05b0cd3c8eb537f55c0771e3f55150bd8ae4

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 2026-07-23T06:31:01.910684+00:00.

source=arxiv_source observed=2026-05-20T23:45:19.279268Z digest=sha256:d1238fc8dacf350076ee4b647fffbfa1b44d867d8c2ea7c7f38c6482421706b5

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 2026-07-23T06:31:01.910684+00:00.

source=pdf_text observed=2026-06-26T18:02:39.721547Z digest=sha256:119b9babd57f6c24435449c9defdb5706650997cbb1c0291cc5b95cfbaaba255

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 2026-07-23T06:31:01.910684+00:00.

source=pdf_text observed=2026-07-01T06:32:53.469863Z digest=sha256:e1ac9176d11ca8336e99ed7d0de394639c57c90549735b0b39ad0f9063075c87

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 2026-07-23T06:31:01.910684+00:00.

source=pdf_text observed=2026-07-11T02:59:38.193627Z digest=sha256:7111bf3dc7ce73860092c8c42d79d50285ef09d23a541c90226077747b621f01

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.

source=pdf_text observed=2026-07-14T12:50:33.254161Z digest=sha256:5c8793fef4dd438ec9040e8fe914a6afc647af2a30877c19f1c2d0a4aecea139