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Paper Citation Record · LEDGER

Implicit Gradient Regularization

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:2009.11162.

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

pith.paper-citation-record.v1
2009.11162 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T20:34:06.470659Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-09T07:56:04.666556Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
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  • 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 04dab5ab-e099-40d9-89bd-d58df15439aa · inbound

Design Criteria for SGD Preconditioners: Local Conditioning, Noise Floors, and Basin Stability cites this paper.

Design Criteria for SGD Preconditioners: Local Conditioning, Noise Floors, and Basin Stability Implicit Gradient Regularization

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-03T20:34:06.470659Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T20:34:06.470659Z digest=sha256:47d5d096e0ee55fbe59e24c54bd9a758c45ccdf6dc5a445977524b9942801a64

Observation 6c7bd95d-0f58-4987-a60e-a24c70d227f5 · inbound

Quantitative Understanding of PDF Fits and their Uncertainties cites this paper.

Quantitative Understanding of PDF Fits and their Uncertainties Implicit Gradient Regularization

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-03T13:34:53.600453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T13:34:53.600453Z digest=sha256:1b323ed252d4eb8c6ab4f14d0e721912bbd2c9b293fe456d5963d2158c7c9ebe

Observation a05221e9-d411-49e0-9c35-45d62f927d3e · inbound

Gradient Regularization Mitigates Reward Hacking in Reinforcement Learning from Human Feedback and Verifiable Rewards cites this paper.

Gradient Regularization Mitigates Reward Hacking in Reinforcement Learning from Human Feedback and Verifiable Rewards Implicit Gradient Regularization

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-02T22:07:35.968094Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T22:07:35.968094Z digest=sha256:35bbb48de42d838c7e7b43d4044e0ffb29b93050812187702635161a3f4d30e8

Observation ea6b6bd2-b629-4d66-ae83-45f441ac7412 · inbound

Towards Universal Convergence of Backward Error in Linear System Solvers cites this paper.

Towards Universal Convergence of Backward Error in Linear System Solvers Implicit Gradient Regularization

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-10T08:12:26.571953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-10T08:11:05.393650Z digest=sha256:19efae0fcc306d25c584abd8c7eb6cef48fabbbf543c5657ddc309c36a577b6e

Observation 4ae70446-ac18-413c-8435-4ce4945db4d3 · inbound

Towards Universal Convergence of Backward Error in Linear System Solvers cites this paper.

Towards Universal Convergence of Backward Error in Linear System Solvers Implicit Gradient Regularization

Reference 6

Resolution
unresolved
no resolver link, observed 2026-07-12T19:27:25.263608Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-12T19:27:25.263608Z digest=sha256:247ae37bbb70b1f4e49fc121f75981711a54437312761993afe4533da994fca1

Observation 2629edd3-80b4-49bf-ab02-137d4254f6da · inbound

Estimating Implicit Regularization in Deep Learning cites this paper.

Estimating Implicit Regularization in Deep Learning Implicit Gradient Regularization

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-11T18:26:13.017392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-08T15:54:21.139902Z digest=sha256:41589ffc40219ae9ff593a07dc80206796e8ca9b76394fc65167de0ea7698e97

Observation cee82c61-9b1c-4e05-841b-519fd79edc41 · inbound

Characterizing and Correcting Effective Target Shift in Online Learning cites this paper.

Characterizing and Correcting Effective Target Shift in Online Learning Implicit Gradient Regularization

Reference 56

Resolution
verified exact
arxiv_id, observed 2026-05-11T03:40:53.807364Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-11T03:37:53.098350Z digest=sha256:1a154654a2cdf2912a9a75018ad7c6e653b93186c9b187137f49e274d5af703f

Observation 3152b507-0779-4e32-82ad-fa339ef32253 · inbound

Thermodynamic Irreversibility of Training Algorithms cites this paper.

Thermodynamic Irreversibility of Training Algorithms Implicit Gradient Regularization

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-22T04:41:04.218335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-22T04:38:51.773377Z digest=sha256:69872cd0e412f865453784211e863c5ad8972445ad97dc28c45f40bdc0272377

Observation 971d236a-4ee7-4b8e-84cb-10659b71125c · inbound

How Optimality Structures Sparse Dictionaries: A Theory for Understanding SAE Representations cites this paper.

How Optimality Structures Sparse Dictionaries: A Theory for Understanding SAE Representations Implicit Gradient Regularization

Reference 127

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T01:46:26.180124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-06-28T11:36:45.020411Z digest=sha256:d17f07068f18f91a4d4fcb81e6762ddc9fa0dc0a680ef863d01e9220cdcb4b46

Observation e1a573e6-dac5-45a6-8920-3d8b9eb9f194 · inbound

Second-Order Path Kernel Interpolation Formulas in Machine Learning cites this paper.

Second-Order Path Kernel Interpolation Formulas in Machine Learning Implicit Gradient Regularization

Reference 152

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T16:47:10.361501Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-06-27T22:20:15.074286Z digest=sha256:606c39fa359f7a4f6bbf6d75f8d477ee612357b447ec93fef79380f486f9cdb1

Observation 13a74d37-dce6-41b5-bb7a-b447c6107416 · inbound

Some Inverse Problems in Particle Physics cites this paper.

Some Inverse Problems in Particle Physics Implicit Gradient Regularization

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-07-02T22:47:26.163993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-27T18:38:49.963266Z digest=sha256:2c3c30733893db33726a0fa5b8d2d8d69032a7ba13d9e56eb59a0ebc25c42cd7

Observation ca93cfe1-a664-42fc-ad3d-0ad2e0a99b4d · inbound

Avoiding unsafe sets when training with Langevin Dynamics cites this paper.

Avoiding unsafe sets when training with Langevin Dynamics Implicit Gradient Regularization

Reference 26

Resolution
verified exact
local_arxiv, observed 2026-07-09T07:56:04.667484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-07-09T07:53:56.220737Z digest=sha256:606364fdc70eacafdd48ac1eb5b56ca037f53a096980f509ee650a48c40616e0

Observation 4ccc6b35-4493-4cfb-ae32-da9827f9ae39 · inbound

Avoiding unsafe sets when training with Langevin Dynamics cites this paper.

Avoiding unsafe sets when training with Langevin Dynamics Implicit Gradient Regularization

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-02T08:08:39.953079Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T08:08:39.953079Z digest=sha256:372fecc1cee430683569db69587fcd140dedb784346ccdb37849ccb3444f26d2