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Paper Citation Record · LEDGER

A Frobenius norm regularization method for convolutional kernels to avoid unstable gradient problem

As of 8 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 0 inbound Pith citation observations for arXiv:1907.11235.

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

pith.paper-citation-record.v1
1907.11235 v1

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-24T16:00:01.510398Z

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

17 of 17 outbound references displayed

  • verified exact0
  • verified fuzzy13
  • unresolved4
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 19b61e48-7d23-4021-b797-988fde2992b4 · outbound

This paper cites Neural photo editing with intro- spective adversarial networks.

A Frobenius norm regularization method for convolutional kernels to avoid unstable gradient problem Neural photo editing with intro- spective adversarial networks

Reference 1

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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 2026-08-07T06:34:17.273281+00:00.

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Observation a91c59dc-d01a-492f-9d83-b79bd2f92a2e · outbound

This paper cites Chan and X.

A Frobenius norm regularization method for convolutional kernels to avoid unstable gradient problem Chan and X

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T16:16:16.962591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation fed6cb5b-1815-4fb2-b2ff-52f19a98c6d7 · outbound

This paper cites Parseval Net- works: Improving Robustness to Adversarial Examples.

A Frobenius norm regularization method for convolutional kernels to avoid unstable gradient problem Parseval Net- works: Improving Robustness to Adversarial Examples

Reference 3

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verified fuzzy
raw_fallback, observed 2026-05-24T16:16:16.965150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 9c212dd5-cd25-4ee6-90f4-c99496b5766e · outbound

This paper cites A guide to convoluti on arithmetic for deep learning.

A Frobenius norm regularization method for convolutional kernels to avoid unstable gradient problem A guide to convoluti on arithmetic for deep learning

Reference 4

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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 2026-08-07T06:34:17.273281+00:00.

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Observation 69246cfa-3f97-4b16-8375-d440a2fe0b0e · outbound

This paper cites Golub and C.-F.

A Frobenius norm regularization method for convolutional kernels to avoid unstable gradient problem Golub and C.-F

Reference 5

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation dcb2e8e9-121d-43d8-b4a5-c89ad6999b60 · outbound

This paper cites an unresolved cited work.

A Frobenius norm regularization method for convolutional kernels to avoid unstable gradient problem Unresolved cited work

Reference 6

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 64b579b1-254b-4c0a-bc43-b412bda79d87 · outbound

This paper cites an unresolved cited work.

A Frobenius norm regularization method for convolutional kernels to avoid unstable gradient problem Unresolved cited work

Reference 7

Resolution
unresolved
raw_fallback, observed 2026-05-24T16:16:16.979438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-24T16:00:01.510398Z digest=sha256:52a052924aa762bd8d837284f75177eefc2b96ae79c70b8cfb7c6bb478776840

Observation fe6e84ab-6a6b-415d-a489-43bebec2508f · outbound

This paper cites Hochreiter, Y.

A Frobenius norm regularization method for convolutional kernels to avoid unstable gradient problem Hochreiter, Y

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T16:16:16.954121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 0cda8d68-3f41-4dd9-9dfb-bb0727af5079 · outbound

This paper cites Jin, Developments and Applications of Block Toeplitz Iterative Solvers, Science Press, Beijing.

A Frobenius norm regularization method for convolutional kernels to avoid unstable gradient problem Jin, Developments and Applications of Block Toeplitz Iterative Solvers, Science Press, Beijing

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T16:16:16.985997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation c8d495b8-0620-4503-a8ce-351e3cef5a1b · outbound

This paper cites An introduction to frames, Now P ublishers Inc, Boston.

A Frobenius norm regularization method for convolutional kernels to avoid unstable gradient problem An introduction to frames, Now P ublishers Inc, Boston

Reference 10

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 53cbdf37-cd4d-461d-a67e-0ae48edde5c4 · outbound

This paper cites Spectral Normalization for Gen- erative Adversarial Networks.

A Frobenius norm regularization method for convolutional kernels to avoid unstable gradient problem Spectral Normalization for Gen- erative Adversarial Networks

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T16:16:16.971408Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation e6017ba9-495d-4bd0-9656-7b2a3dd699a9 · outbound

This paper cites an unresolved cited work.

A Frobenius norm regularization method for convolutional kernels to avoid unstable gradient problem Unresolved cited work

Reference 12

Resolution
unresolved
raw_fallback, observed 2026-05-24T16:16:16.992518Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation eeb79ff3-efc1-4e7a-8c33-a84e252ac1a8 · outbound

This paper cites an unresolved cited work.

A Frobenius norm regularization method for convolutional kernels to avoid unstable gradient problem Unresolved cited work

Reference 13

Resolution
unresolved
raw_fallback, observed 2026-05-24T16:16:16.982645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation c21f3df7-a912-4503-a62f-efd42e983d2d · outbound

This paper cites Szegedy, W.

A Frobenius norm regularization method for convolutional kernels to avoid unstable gradient problem Szegedy, W

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T16:06:17.265508Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-24T16:00:01.510398Z digest=sha256:74ce8818dbf7df68d7b48e278540ee4ee58bc0a21b0ae4a2cde759306e420794

Observation 91b5ff29-f26c-4e89-afce-45164c81bf5d · outbound

This paper cites Tsuzuku, I.

A Frobenius norm regularization method for convolutional kernels to avoid unstable gradient problem Tsuzuku, I

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T16:06:17.269139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-24T16:00:01.510398Z digest=sha256:04644fc31c3311874409a0470a47d1cc333a7f8714d959c72d339fc78c103a95

Observation 09a86c1e-df4e-4e83-8169-b14623411f3a · outbound

This paper cites Zhang, S.

A Frobenius norm regularization method for convolutional kernels to avoid unstable gradient problem Zhang, S

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T16:06:17.313475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-24T16:00:01.510398Z digest=sha256:cd2771af62ec2307210d33456e7a293d259cf448c318b2dc5dc746d2084a09ce

Observation 929515d2-123c-43e0-9959-1804c1b3318a · outbound

This paper cites Spectral Norm Regulari zation for Improving the Generalizability of Deep Learning, ArXiv 2017.

A Frobenius norm regularization method for convolutional kernels to avoid unstable gradient problem Spectral Norm Regulari zation for Improving the Generalizability of Deep Learning, ArXiv 2017

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T16:09:41.644675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Pith citing papers

No inbound Pith citation observations are available.