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Paper Citation Record · LEDGER

Generalization in Deep Learning

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:1710.05468.

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

pith.paper-citation-record.v1
1710.05468 v9

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T14:07:24.554355Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T18:53:51.993717Z

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 239b867f-c54c-4da3-a889-6cac4893ad3b · inbound

Deep Learning Scaling is Predictable, Empirically cites this paper.

Deep Learning Scaling is Predictable, Empirically Generalization in Deep Learning

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-12T04:01:58.434075Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-12T04:01:58.384077Z digest=sha256:db3655b8fa29f3fc134cc1d7f5395d50aff83d38c67c56dbc3d7bebe348009f9

Observation ad523c5d-1bf6-4589-8419-60797f3467eb · inbound

Learning Algorithm Hyperparameters for Fast Parametric Convex Optimization cites this paper.

Learning Algorithm Hyperparameters for Fast Parametric Convex Optimization Generalization in Deep Learning

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-12T14:07:24.554355Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:07:24.554355Z digest=sha256:dd94c931b2e360d492ed0e3364c40a9704c9105ec0871fd01e12cee5675c37b5

Observation 596386bf-1ca1-4cc2-9609-1939aa238954 · inbound

L2GNet: Optimal Local-to-Global Representation of Anatomical Structures for Generalized Medical Image Segmentation cites this paper.

L2GNet: Optimal Local-to-Global Representation of Anatomical Structures for Generalized Medical Image Segmentation Generalization in Deep Learning

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-08T23:35:34.213447Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T23:35:34.213447Z digest=sha256:0ac5aa5073f8a0b7ac133ce4826488d8cfd244ed943f971553bf7674e6037b2e

Observation 4f738ba5-f008-4c7f-99e9-53eecf9c4b90 · inbound

Sharpness-Aware Minimization with Z-Score Gradient Filtering cites this paper.

Sharpness-Aware Minimization with Z-Score Gradient Filtering Generalization in Deep Learning

Reference 15

Resolution
malformed identifier
arxiv_id, observed 2026-05-22T16:45:00.078311Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-22T16:42:09.124723Z digest=sha256:e86159d678af732b96ac7b08983440e839fef4d0f5129877c4c982d20f73ac2c

Observation d4feec8e-5450-4b38-baef-b4a8f7541548 · inbound

Thinking Beyond Tokens: From Brain-Inspired Intelligence to Cognitive Foundations for Artificial General Intelligence and its Societal Impact cites this paper.

Thinking Beyond Tokens: From Brain-Inspired Intelligence to Cognitive Foundations for Artificial General Intelligence and its Societal Impact Generalization in Deep Learning

Reference 186

Resolution
unresolved
no resolver link, observed 2026-08-06T21:07:11.353937Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:07:11.353937Z digest=sha256:4853886f94984a9d5311d2bd8a12040adb8b46de687fa05de2ade9f2843a6f8a

Observation 769b1eab-11df-476d-abd4-984323018886 · inbound

DNNs, Dataset Statistics, and Correlation Functions cites this paper.

DNNs, Dataset Statistics, and Correlation Functions Generalization in Deep Learning

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-17T20:35:13.206827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-17T20:33:31.393209Z digest=sha256:a8374f13e0e33b260e7b74528fee9087fc1291144c81e08c82a558a847773bf8

Observation 787a29bb-ea1c-4da0-a663-77667d11a528 · inbound

WRF4CIR: Weight-Regularized Fine-Tuning Network for Composed Image Retrieval cites this paper.

WRF4CIR: Weight-Regularized Fine-Tuning Network for Composed Image Retrieval Generalization in Deep Learning

Reference 29

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T22:50:50.057591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-10T19:31:53.371412Z digest=sha256:6e4c3ee842e21b5620f8313f5685cdd87b0955a4cad20560d058bb2c4ce16f32

Observation 59f18e21-dc9d-47fe-8ed6-8603e01cdb03 · inbound

Generalization error bounds for two-layer neural networks with Lipschitz loss function cites this paper.

Generalization error bounds for two-layer neural networks with Lipschitz loss function Generalization in Deep Learning

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-10T23:20:54.462386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-10T19:11:28.307238Z digest=sha256:bb71083bb5f02ff7d64794dd8874d508d9a44696b0d45097e66529fcde64dc0f

Observation a36e8e0f-08da-4b5b-8d73-cfa21a8a44dc · inbound

Adaptive Kernel Ridge Regression with Linear Structure: Sharp Oracle Inequalities and Minimax Optimality cites this paper.

Adaptive Kernel Ridge Regression with Linear Structure: Sharp Oracle Inequalities and Minimax Optimality Generalization in Deep Learning

Reference 166

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T04:57:17.809099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-13T04:45:28.262509Z digest=sha256:a213ceae59c89c140a20cb98d8aa8a40b1e6edcf32ecd94c629d559812c00383

Observation dbc2b3c6-71b5-4e72-b1be-f812483c1ebf · inbound

Dangerous Liaisons of Convex Learning and Non-Affine Aggregation cites this paper.

Dangerous Liaisons of Convex Learning and Non-Affine Aggregation Generalization in Deep Learning

Reference 69

Resolution
metadata mismatch
arxiv_id, observed 2026-06-29T18:53:51.995221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-06-29T05:00:47.642665Z digest=sha256:2b9f036df8b259106d75ffe9936bfdffdcb8e963df9ac60c1f8e8944fa5bf863