Paper Citation Record · LEDGER

DRIFT: Data Reduction via Informative Feature Transformation- Generalization Begins Before Deep Learning starts

As of 22 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 0 inbound Pith citation observations for arXiv:2506.19734.

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

pith.paper-citation-record.v1
2506.19734 v1

Coverage vector

measured 16 of 16 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T18:29:21.910873Z

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+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

16 of 16 outbound references displayed

verified exact1
verified fuzzy10
unresolved5
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 76ba25c0-d1ad-4a70-b4c6-56f1d0878bce · outbound

This paper cites On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima.

DRIFT: Data Reduction via Informative Feature Transformation- Generalization Begins Before Deep Learning starts On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-15T18:29:21.851825Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c0fb7e23-2714-4f8b-95f8-340c3f26eafa · outbound

This paper cites Train longer, generalize better: closing the generalization gap in large batch training of neural networks.

DRIFT: Data Reduction via Informative Feature Transformation- Generalization Begins Before Deep Learning starts Train longer, generalize better: closing the generalization gap in large batch training of neural networks

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:29:22.130008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation bf67a021-89eb-49b4-b14a-c7c935a2b7d7 · outbound

This paper cites Adversarially robust generalization requires more data.

DRIFT: Data Reduction via Informative Feature Transformation- Generalization Begins Before Deep Learning starts Adversarially robust generalization requires more data

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:29:22.117322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ff749ab4-82bb-419c-a0e3-e9eaf81a1fd5 · outbound

This paper cites The Calibration Generalization Gap.

DRIFT: Data Reduction via Informative Feature Transformation- Generalization Begins Before Deep Learning starts The Calibration Generalization Gap

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-15T18:29:21.863717Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0b4a236d-e595-49d9-aa4e-1c722ad13456 · outbound

This paper cites The Effectiveness of Data Augmentation in Image Classification using Deep Learning.

DRIFT: Data Reduction via Informative Feature Transformation- Generalization Begins Before Deep Learning starts The Effectiveness of Data Augmentation in Image Classification using Deep Learning

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-15T18:29:21.867722Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b9643e6b-e28a-4e52-8316-73c9a9626889 · outbound

This paper cites Understanding data augmentation for classification: when to warp?.

DRIFT: Data Reduction via Informative Feature Transformation- Generalization Begins Before Deep Learning starts Understanding data augmentation for classification: when to warp?

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:29:22.104888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 1ea75fba-771c-4d96-870f-ea557cbaad9e · outbound

This paper cites On the generalization gap in reparameterizable reinforcement learning.

DRIFT: Data Reduction via Informative Feature Transformation- Generalization Begins Before Deep Learning starts On the generalization gap in reparameterizable reinforcement learning

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:29:22.092627Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b98f1c09-ac3b-4856-8512-50c720b093a6 · outbound

This paper cites A Study on Overfitting in Deep Reinforcement Learning.

DRIFT: Data Reduction via Informative Feature Transformation- Generalization Begins Before Deep Learning starts A Study on Overfitting in Deep Reinforcement Learning

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-15T18:29:21.879372Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d42547e2-018a-4655-955c-dd30019f9e69 · outbound

This paper cites Understanding What Affects the Generalization Gap in Visual Reinforcement Learning: Theory and Empirical Evidence.

DRIFT: Data Reduction via Informative Feature Transformation- Generalization Begins Before Deep Learning starts Understanding What Affects the Generalization Gap in Visual Reinforcement Learning: Theory and Empirical Evidence

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:29:22.080181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 847cea93-bf64-4c42-80ed-3295d2145887 · outbound

This paper cites A new perspective for understanding generalization gap of deep neural networks trained with large batch sizes.

DRIFT: Data Reduction via Informative Feature Transformation- Generalization Begins Before Deep Learning starts A new perspective for understanding generalization gap of deep neural networks trained with large batch sizes

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:29:22.066371Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 6cf01d22-1f19-48b6-9a95-6a6f58afd336 · outbound

This paper cites Learning and generalization in overparameterized neural networks, going beyond two layers.

DRIFT: Data Reduction via Informative Feature Transformation- Generalization Begins Before Deep Learning starts Learning and generalization in overparameterized neural networks, going beyond two layers

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:29:22.053739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 1916dfe7-e533-445b-99b5-534cef7dac5f · outbound

This paper cites Towards Task and Architecture-Independent Generalization Gap Predictors.

DRIFT: Data Reduction via Informative Feature Transformation- Generalization Begins Before Deep Learning starts Towards Task and Architecture-Independent Generalization Gap Predictors

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-08-15T18:29:21.956575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ff2b1ff3-08ed-4e1e-98dc-99e208ac725a · outbound

This paper cites Understanding deep learning (still) requires rethinking generalization.

DRIFT: Data Reduction via Informative Feature Transformation- Generalization Begins Before Deep Learning starts Understanding deep learning (still) requires rethinking generalization

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:29:22.041118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 913b0bd6-8092-4733-a8c0-73696cfe0b18 · outbound

This paper cites On the Generalization Mystery in Deep Learning.

DRIFT: Data Reduction via Informative Feature Transformation- Generalization Begins Before Deep Learning starts On the Generalization Mystery in Deep Learning

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-15T18:29:21.903874Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bd392463-c4c3-45e5-89c8-c96f146559da · outbound

This paper cites Fundamentals of Vibrations.

DRIFT: Data Reduction via Informative Feature Transformation- Generalization Begins Before Deep Learning starts Fundamentals of Vibrations

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:29:22.028262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation cd5abb78-9715-4d40-8978-a965a5e179f9 · outbound

This paper cites P., & Woinowsky-Krieger, S.

DRIFT: Data Reduction via Informative Feature Transformation- Generalization Begins Before Deep Learning starts P., & Woinowsky-Krieger, S

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:29:22.014335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Pith citing papers

No inbound Pith citation observations are available.