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Paper Citation Record · LEDGER

Revisiting Generalization Power of a DNN in Terms of Symbolic Interactions

As of 9 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 0 inbound Pith citation observations for arXiv:2502.10162.

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

pith.paper-citation-record.v1
2502.10162 v1

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T19:13:34.474173Z

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

14 of 14 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a4199430-139a-4daa-bf94-f900e1a8fcd1 · outbound

This paper cites We trained different DNNs, including LeNet[LeCun et al., 1998], VGG-11, VGG-13, and AlexNet, on different datasets, including MNIST, CIFAR-10, CUB200-2011, and Tiny-ImageNet.

Revisiting Generalization Power of a DNN in Terms of Symbolic Interactions We trained different DNNs, including LeNet[LeCun et al., 1998], VGG-11, VGG-13, and AlexNet, on different datasets, including MNIST, CIFAR-10, CUB200-2011, and Tiny-ImageNet

Reference 1

Resolution
verified fuzzy
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Source-reported events for the cited work

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Observation 0df2f94c-bd96-479f-91f0-1d2f0ef6199b · outbound

This paper cites Defining and Quantifying the Emergence of Sparse Concepts in DNNs.

Revisiting Generalization Power of a DNN in Terms of Symbolic Interactions Defining and Quantifying the Emergence of Sparse Concepts in DNNs

Reference 3

Resolution
verified exact
local_arxiv, observed 2026-08-07T19:13:34.718561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation bfd4cb6a-6edc-4fec-a242-da0dc11f06d6 · outbound

This paper cites Two-Phase Dynamics of Interactions Explains the Starting Point of a DNN Learning Over-Fitted Features.

Revisiting Generalization Power of a DNN in Terms of Symbolic Interactions Two-Phase Dynamics of Interactions Explains the Starting Point of a DNN Learning Over-Fitted Features

Reference 4

Resolution
verified exact
local_arxiv, observed 2026-08-07T19:13:34.622060Z

Source-reported events for the cited work

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Observation 5d022d73-d19c-4921-9df0-f264090c0a3c · outbound

This paper cites Technical Note: Defining and Quantifying AND-OR Interactions for Faithful and Concise Explanation of DNNs.

Revisiting Generalization Power of a DNN in Terms of Symbolic Interactions Technical Note: Defining and Quantifying AND-OR Interactions for Faithful and Concise Explanation of DNNs

Reference 10

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 28b909a2-f60a-40bc-b4d5-9d4ee309ea62 · outbound

This paper cites These findings suggest that interactions act as primitive inference patterns encoded by DNNs, forming the theoretical foundation of interaction-based theoretical frameworks.

Revisiting Generalization Power of a DNN in Terms of Symbolic Interactions These findings suggest that interactions act as primitive inference patterns encoded by DNNs, forming the theoretical foundation of interaction-based theoretical frameworks

Reference 11

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verified fuzzy
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Source-reported events for the cited work

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Observation 9b60aa56-5f3c-42f6-84a0-b3bdba195a52 · outbound

This paper cites Their experiments further confirmed that most randomly initialized DNNs align well with this proposition.

Revisiting Generalization Power of a DNN in Terms of Symbolic Interactions Their experiments further confirmed that most randomly initialized DNNs align well with this proposition

Reference 12

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 97800260-69a9-429a-a33f-b8c77168462d · outbound

This paper cites an unresolved cited work.

Revisiting Generalization Power of a DNN in Terms of Symbolic Interactions Unresolved cited work

Reference 14

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unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 7d4a5d0b-5ed0-4e70-949f-a3d76c57a4be · outbound

This paper cites The Caltech-UCSD Birds-200-2011 Dataset.

Revisiting Generalization Power of a DNN in Terms of Symbolic Interactions The Caltech-UCSD Birds-200-2011 Dataset

Reference 2009

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 81ed8757-4884-459e-8365-ec5ac4d90383 · outbound

This paper cites Explaining and Harnessing Adversarial Examples.

Revisiting Generalization Power of a DNN in Terms of Symbolic Interactions Explaining and Harnessing Adversarial Examples

Reference 2013

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Source-reported events for the cited work

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Observation 7755d6d6-89a0-4fc0-bc03-aea99c64011a · outbound

This paper cites BERT: Pre-training of deep bidirectional transformers for language understanding.

Revisiting Generalization Power of a DNN in Terms of Symbolic Interactions BERT: Pre-training of deep bidirectional transformers for language understanding

Reference 2015

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Source-reported events for the cited work

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Observation dbea4360-b240-4a42-935d-03c9007810cd · outbound

This paper cites doi:10.18653/v1/N19-1423.

Revisiting Generalization Power of a DNN in Terms of Symbolic Interactions doi:10.18653/v1/N19-1423

Reference 2019

Resolution
unresolved
no resolver link, observed 2026-08-07T19:13:34.027490Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 1bb062f3-f915-431b-a526-a2b7b7bfffd4 · outbound

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

Revisiting Generalization Power of a DNN in Terms of Symbolic Interactions On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-07T19:13:34.187609Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 72ec8dc9-17cc-4179-b8cb-a6c3c9729acf · outbound

This paper cites A separability-based approach to quantifying generalization: which layer is best?.

Revisiting Generalization Power of a DNN in Terms of Symbolic Interactions A separability-based approach to quantifying generalization: which layer is best?

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-07T19:13:33.819649Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 5e148878-b6fa-4cd5-bc3b-1d91ce9b47b4 · outbound

This paper cites Generalization Ability of Feature-based Performance Prediction Models: A Statistical Analysis across Benchmarks.

Revisiting Generalization Power of a DNN in Terms of Symbolic Interactions Generalization Ability of Feature-based Performance Prediction Models: A Statistical Analysis across Benchmarks

Reference 2024

Resolution
verified exact
local_arxiv, observed 2026-08-07T19:13:34.763781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Pith citing papers

No inbound Pith citation observations are available.