Paper Citation Record · LEDGER

Phase Transitions between Accuracy Regimes in L2 regularized Deep Neural Networks

As of 20 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 0 inbound Pith citation observations for arXiv:2505.06597.

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

pith.paper-citation-record.v1
2505.06597 v2

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:45:54.893209Z

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

27 of 27 outbound references displayed

verified exact2
verified fuzzy19
unresolved6
parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d80e6a1c-be28-4661-9b81-1fa601c5c969 · outbound

This paper cites The Information Bottleneck Method,.

Phase Transitions between Accuracy Regimes in L2 regularized Deep Neural Networks The Information Bottleneck Method,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:45:55.284437Z

Source-reported events for the cited work

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Observation bf278003-135d-42a6-b1e4-66e8c07d47e4 · outbound

This paper cites Information bottleneck for Gaussian variables,.

Phase Transitions between Accuracy Regimes in L2 regularized Deep Neural Networks Information bottleneck for Gaussian variables,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:45:55.270694Z

Source-reported events for the cited work

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Observation cf9ff77b-8557-49ff-a681-4d7a62df0eae · outbound

This paper cites Learnability for the information bottleneck,.

Phase Transitions between Accuracy Regimes in L2 regularized Deep Neural Networks Learnability for the information bottleneck,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:45:55.256326Z

Source-reported events for the cited work

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Observation ae2e9cfe-71e6-40ea-8308-c8468766a365 · outbound

This paper cites Zeroth, ﬁrst, and second-order phase transitions in deep neural networks,.

Phase Transitions between Accuracy Regimes in L2 regularized Deep Neural Networks Zeroth, ﬁrst, and second-order phase transitions in deep neural networks,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:45:55.242676Z

Source-reported events for the cited work

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Observation 1f582bc0-33e6-43c2-b555-2dfea6d960ab · outbound

This paper cites & Janssen, L.

Phase Transitions between Accuracy Regimes in L2 regularized Deep Neural Networks & Janssen, L

Reference 5

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Source-reported events for the cited work

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Observation 1abeeb64-ad7c-4b1e-9d7e-60e63e3aa1b0 · outbound

This paper cites Feature Learning in $L_{2}$-regularized DNNs: Attraction/Repulsion and Sparsity.

Phase Transitions between Accuracy Regimes in L2 regularized Deep Neural Networks Feature Learning in $L_{2}$-regularized DNNs: Attraction/Repulsion and Sparsity

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-15T22:45:54.809438Z

Source-reported events for the cited work

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Observation 16876b05-0a77-44dd-a059-23aec6423e81 · outbound

This paper cites Grokking as a First Order Phase Transition in Two Layer Networks.

Phase Transitions between Accuracy Regimes in L2 regularized Deep Neural Networks Grokking as a First Order Phase Transition in Two Layer Networks

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-15T22:45:54.813938Z

Source-reported events for the cited work

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Observation 510e46ed-b3ff-4db1-bd61-07487e8a4b50 · outbound

This paper cites & Pos- ner, I.

Phase Transitions between Accuracy Regimes in L2 regularized Deep Neural Networks & Pos- ner, I

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:45:55.228080Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 48b94b44-6333-4f3a-a019-12fc403f8282 · outbound

This paper cites & Tegmark, M.

Phase Transitions between Accuracy Regimes in L2 regularized Deep Neural Networks & Tegmark, M

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:45:55.214361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 077e7655-91f7-485d-882b-1a0a542a6794 · outbound

This paper cites Natural gradient works eﬃciently in learn- ing,.

Phase Transitions between Accuracy Regimes in L2 regularized Deep Neural Networks Natural gradient works eﬃciently in learn- ing,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:45:55.201452Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0f7260a2-b6f8-4e14-a030-631b4a164ce8 · outbound

This paper cites Amari, Information Geometry and Its Applications , vol.

Phase Transitions between Accuracy Regimes in L2 regularized Deep Neural Networks Amari, Information Geometry and Its Applications , vol

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:45:55.187483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 58fa20a5-4070-4b22-911c-9212279967b7 · outbound

This paper cites Identifying and attacking the saddle point problem in high-dimensional non-convex optimization,.

Phase Transitions between Accuracy Regimes in L2 regularized Deep Neural Networks Identifying and attacking the saddle point problem in high-dimensional non-convex optimization,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:45:55.174291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation fa5c5194-1235-45e6-94f9-f8525a16eafe · outbound

This paper cites The loss surfaces of multilayer net- works,.

Phase Transitions between Accuracy Regimes in L2 regularized Deep Neural Networks The loss surfaces of multilayer net- works,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:45:55.158673Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3c03ed9c-04c6-4328-91f4-420bcfc4b4cc · outbound

This paper cites an unresolved cited work.

Phase Transitions between Accuracy Regimes in L2 regularized Deep Neural Networks Unresolved cited work

Reference 14

Resolution: unresolved; raw_fallback, observed 2026-08-15T22:45:55.144418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8d0c8abf-bbcc-42dc-ad2d-9f15099a3b89 · outbound

This paper cites Goodfellow, Y.

Phase Transitions between Accuracy Regimes in L2 regularized Deep Neural Networks Goodfellow, Y

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:45:55.129139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 06c0415e-5c75-49b0-a12f-d55defb09c56 · outbound

This paper cites Ridge regression: Bi- ased estimation for nonorthogonal problems,.

Phase Transitions between Accuracy Regimes in L2 regularized Deep Neural Networks Ridge regression: Bi- ased estimation for nonorthogonal problems,

Reference 16

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Source-reported events for the cited work

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Observation 49a497d8-1430-425c-b335-ebbe2ebe6054 · outbound

This paper cites Feature Learning in L2-regularized DNNs: Attrac- tion/Repulsion and Sparsity,.

Phase Transitions between Accuracy Regimes in L2 regularized Deep Neural Networks Feature Learning in L2-regularized DNNs: Attrac- tion/Repulsion and Sparsity,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:45:55.101355Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3f633295-ee20-4500-97cc-12f4dff75057 · outbound

This paper cites Phase Transitions for the Information Bottleneck in Representation Learning.

Phase Transitions between Accuracy Regimes in L2 regularized Deep Neural Networks Phase Transitions for the Information Bottleneck in Representation Learning

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-08-15T22:45:54.959101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 91ca2e2e-1e6c-4bfd-966a-477fbd0e3d0b · outbound

This paper cites Information-Driven Learning from High-Dimensional Data,.

Phase Transitions between Accuracy Regimes in L2 regularized Deep Neural Networks Information-Driven Learning from High-Dimensional Data,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:45:55.088775Z

Source-reported events for the cited work

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Observation dd5bfd17-c154-4fbe-9a36-3e438ef914db · outbound

This paper cites Deep learning,.

Phase Transitions between Accuracy Regimes in L2 regularized Deep Neural Networks Deep learning,

Reference 20

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Source-reported events for the cited work

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Observation b332df36-63fe-4984-bd01-0fcb8fa30520 · outbound

This paper cites Zeroth, ﬁrst, and second-order phase transitions in deep neural networks,.

Phase Transitions between Accuracy Regimes in L2 regularized Deep Neural Networks Zeroth, ﬁrst, and second-order phase transitions in deep neural networks,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:45:55.066691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2c202ebe-546f-4671-b761-646a27a06857 · outbound

This paper cites Watanabe, Algebraic Geometry and Statistical Learn- ing Theory , vol.

Phase Transitions between Accuracy Regimes in L2 regularized Deep Neural Networks Watanabe, Algebraic Geometry and Statistical Learn- ing Theory , vol

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:45:55.051615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3db3d513-8e92-458d-ab02-e83078d0a71e · outbound

This paper cites The global landscape of neural networks: An overview,.

Phase Transitions between Accuracy Regimes in L2 regularized Deep Neural Networks The global landscape of neural networks: An overview,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:45:55.039101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ea369552-61ff-4925-910f-0c909b3f74cd · outbound

This paper cites On the geometry of generalization and memorization in deep neural networks.

Phase Transitions between Accuracy Regimes in L2 regularized Deep Neural Networks On the geometry of generalization and memorization in deep neural networks

Reference 24

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Source-reported events for the cited work

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Observation 8a0f58bd-923d-464b-a973-54edbc30e9d4 · outbound

This paper cites Lang, Fundamentals of Diﬀerential Geometry , vol.

Phase Transitions between Accuracy Regimes in L2 regularized Deep Neural Networks Lang, Fundamentals of Diﬀerential Geometry , vol

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:45:55.025171Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d9f117c4-e69e-45fc-a370-a4b875758382 · outbound

This paper cites an unresolved cited work.

Phase Transitions between Accuracy Regimes in L2 regularized Deep Neural Networks Unresolved cited work

Reference 26

Resolution: unresolved; raw_fallback, observed 2026-08-15T22:45:55.010442Z

Source-reported events for the cited work

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Observation 925530aa-e346-46f2-9a9f-ead41c375ded · outbound

This paper cites Auto-encoding varia- tional bayes,.

Phase Transitions between Accuracy Regimes in L2 regularized Deep Neural Networks Auto-encoding varia- tional bayes,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:45:54.997128Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Pith citing papers

No inbound Pith citation observations are available.