Paper Citation Record · LEDGER

Revisiting Natural Gradient for Deep Networks

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 24 inbound Pith citation observations for arXiv:1301.3584.

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

pith.paper-citation-record.v1
1301.3584 v7

Coverage vector

measured 0 of 0 reference resolution

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Source: paper_references, paper_reference_links

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 24 of 24 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:47:05.734888Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

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External citation measurements

122
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 3c84a749-b772-4c69-aa9a-f24bdac7fbca · inbound

Adam: A Method for Stochastic Optimization cites this paper.

Adam: A Method for Stochastic Optimization Revisiting Natural Gradient for Deep Networks

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-09T05:45:20.982852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 35639dbe-e937-4e93-b59f-6cddc2f9caa9 · inbound

HELENE: Hessian Layer-wise Clipping and Gradient Annealing for Accelerating Fine-tuning LLM with Zeroth-order Optimization cites this paper.

HELENE: Hessian Layer-wise Clipping and Gradient Annealing for Accelerating Fine-tuning LLM with Zeroth-order Optimization Revisiting Natural Gradient for Deep Networks

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-12T19:30:55.053335Z

Source-reported events for the cited work

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Observation 42759223-e75a-43ad-9cfa-8872dfbf07ee · inbound

Learn from Downstream and Be Yourself in Multimodal Large Language Model Fine-Tuning cites this paper.

Learn from Downstream and Be Yourself in Multimodal Large Language Model Fine-Tuning Revisiting Natural Gradient for Deep Networks

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-12T19:14:24.165923Z

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Observation 599a5536-e801-4d65-85db-a43efc7ad4e7 · inbound

Fisher-Guided Selective Forgetting: Mitigating The Primacy Bias in Deep Reinforcement Learning cites this paper.

Fisher-Guided Selective Forgetting: Mitigating The Primacy Bias in Deep Reinforcement Learning Revisiting Natural Gradient for Deep Networks

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-09T17:46:07.275178Z

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Observation 293558c3-7790-43a7-9952-8511eaf46902 · inbound

Low Rank Based Subspace Inference for the Laplace Approximation of Bayesian Neural Networks cites this paper.

Low Rank Based Subspace Inference for the Laplace Approximation of Bayesian Neural Networks Revisiting Natural Gradient for Deep Networks

Reference 19

Resolution: verified exact; local_arxiv, observed 2026-05-23T03:42:27.756780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 00d9f401-f239-4490-b573-7dfdf4226d07 · inbound

Quantum Neural Networks for Cloud Cover Parameterizations in Climate Models cites this paper.

Quantum Neural Networks for Cloud Cover Parameterizations in Climate Models Revisiting Natural Gradient for Deep Networks

Reference 89

Resolution: unresolved; no resolver link, observed 2026-08-07T19:24:32.720170Z

Source-reported events for the cited work

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Observation 4e78bbba-0ba9-410f-974f-2c298a82653d · inbound

Causal Covariate Shift Correction using Fisher information penalty cites this paper.

Causal Covariate Shift Correction using Fisher information penalty Revisiting Natural Gradient for Deep Networks

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-08T12:04:37.415529Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 75eb8626-fb33-486c-b607-92acf35b5274 · inbound

Wasserstein Policy Optimization cites this paper.

Wasserstein Policy Optimization Revisiting Natural Gradient for Deep Networks

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-16T04:47:05.734888Z

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Observation c2235e3d-81f6-4a32-be4a-79205c16b0fb · inbound

Egalitarian Gradient Descent: A Simple Approach to Accelerated Grokking cites this paper.

Egalitarian Gradient Descent: A Simple Approach to Accelerated Grokking Revisiting Natural Gradient for Deep Networks

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-05-21T21:14:22.051983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f5caa0a1-2b1f-455f-8c97-d197b39afa3f · inbound

CrossEarth-Gate: Fisher-Guided Adaptive Tuning Engine for Efficient Adaptation of Cross-Domain Remote Sensing Semantic Segmentation cites this paper.

CrossEarth-Gate: Fisher-Guided Adaptive Tuning Engine for Efficient Adaptation of Cross-Domain Remote Sensing Semantic Segmentation Revisiting Natural Gradient for Deep Networks

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-03T20:20:35.726355Z

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Observation 39466beb-46a1-409c-a9c0-97f14b89b719 · inbound

Exploring the Effect of Basis Rotation on NQS Performance cites this paper.

Exploring the Effect of Basis Rotation on NQS Performance Revisiting Natural Gradient for Deep Networks

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-03T15:16:07.718439Z

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Observation 73e5c961-881f-45bc-a4a0-05f98a0a5ab6 · inbound

DP-FedSOFIM: Differentially Private Federated Stochastic Optimization using Regularized Fisher Information Matrix cites this paper.

DP-FedSOFIM: Differentially Private Federated Stochastic Optimization using Regularized Fisher Information Matrix Revisiting Natural Gradient for Deep Networks

Reference 2014

Resolution: unresolved; no resolver link, observed 2026-08-03T10:44:44.862084Z

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Observation a63e5620-0734-4c51-a3ce-2fe60ca650e5 · inbound

Intelligence Inertia: Physical Isomorphism and Applications cites this paper.

Intelligence Inertia: Physical Isomorphism and Applications Revisiting Natural Gradient for Deep Networks

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-05-15T07:35:14.478422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ea1b20dd-7175-4d7c-8480-731359f26a50 · inbound

Learning in the Fisher Subspace: A Guided Initialization for LoRA Fine-Tuning cites this paper.

Learning in the Fisher Subspace: A Guided Initialization for LoRA Fine-Tuning Revisiting Natural Gradient for Deep Networks

Reference 3

Resolution: metadata mismatch; local_arxiv, observed 2026-07-01T07:35:28.310911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 7b08ce22-68aa-42c6-8900-654d0b0f6e4e · inbound

Learning reveals invisible structure in low-rank RNNs cites this paper.

Learning reveals invisible structure in low-rank RNNs Revisiting Natural Gradient for Deep Networks

Reference 49

Resolution: verified exact; arxiv_id, observed 2026-05-09T06:15:39.623012Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 384ce381-794d-4de6-a7fd-bba52fbd94e9 · inbound

Layerwise LQR for Geometry-Aware Optimization of Deep Networks cites this paper.

Layerwise LQR for Geometry-Aware Optimization of Deep Networks Revisiting Natural Gradient for Deep Networks

Reference 23

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T17:51:09.832818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f607477f-c79b-443b-bddd-15a684f642aa · inbound

Solving Classical and Quantum Spin Glasses with Deep Boltzmann Quantum States cites this paper.

Solving Classical and Quantum Spin Glasses with Deep Boltzmann Quantum States Revisiting Natural Gradient for Deep Networks

Reference 74

Resolution: verified exact; local_arxiv, observed 2026-05-19T17:57:42.454600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 221cf998-0d38-469d-9b39-3aa4b48d7a87 · inbound

Second-Order Multi-Level Variance Correction for Modality Competition in Multimodal Models cites this paper.

Second-Order Multi-Level Variance Correction for Modality Competition in Multimodal Models Revisiting Natural Gradient for Deep Networks

Reference 17

Resolution: metadata mismatch; local_arxiv, observed 2026-05-20T19:03:39.560386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 0b48937e-4416-4b95-9751-ae58e7dda796 · inbound

Multiparameter Maximum Information States for Coherent Diffraction Measurements cites this paper.

Multiparameter Maximum Information States for Coherent Diffraction Measurements Revisiting Natural Gradient for Deep Networks

Reference 41

Resolution: verified exact; local_arxiv, observed 2026-06-28T16:22:22.075748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 076aaa75-7596-4717-936a-91886c7ee13c · inbound

Local Guidance, Global Impact: Gaussian-Reshaped Trust Region Unlocks Behavior Transitions cites this paper.

Local Guidance, Global Impact: Gaussian-Reshaped Trust Region Unlocks Behavior Transitions Revisiting Natural Gradient for Deep Networks

Reference 32

Resolution: metadata mismatch; local_arxiv, observed 2026-07-02T02:36:26.607419Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation dd4848b9-8a3f-46b9-96d0-a2592c12c881 · inbound

MAOAM: Unified Object and Material Selection with Vision-Language Models cites this paper.

MAOAM: Unified Object and Material Selection with Vision-Language Models Revisiting Natural Gradient for Deep Networks

Reference 52

Resolution: metadata mismatch; local_arxiv, observed 2026-07-02T02:16:26.357922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b40840e7-c4af-4f87-a72f-4b1ecd4f6113 · inbound

Double Preconditioning (DoPr): Optimization for Test-Time Performance, not Validation Loss cites this paper.

Double Preconditioning (DoPr): Optimization for Test-Time Performance, not Validation Loss Revisiting Natural Gradient for Deep Networks

Reference 142

Resolution: metadata mismatch; local_arxiv, observed 2026-07-02T12:06:55.435369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d9e3110c-010d-4e58-868a-85cf0b89ccb9 · inbound

Explaining Near-Zero Hessian Eigenvalues Through Approximate Symmetries in Neural Networks cites this paper.

Explaining Near-Zero Hessian Eigenvalues Through Approximate Symmetries in Neural Networks Revisiting Natural Gradient for Deep Networks

Reference 62

Resolution: verified exact; local_arxiv, observed 2026-07-10T16:57:24.485080Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 5b86f55b-ec77-490e-b91c-35aa96907dcd · inbound

PIcsC: Partitioning-Induced Covariate Shift Correction cites this paper.

PIcsC: Partitioning-Induced Covariate Shift Correction Revisiting Natural Gradient for Deep Networks

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-01T02:30:36.270658Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.