Paper Citation Record · LEDGER

New insights and perspectives on the natural gradient method

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 18 inbound Pith citation observations for arXiv:1412.1193.

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

pith.paper-citation-record.v1
1412.1193 v11

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 18 of 18 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T14:24:17.096547Z

measured 1 of 1 external citation measurements

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

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

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
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malformed identifier0
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External citation measurements

96
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 485cb921-998d-4857-be45-d6542a1ef287 · inbound

Hessian based analysis of SGD for Deep Nets: Dynamics and Generalization cites this paper.

Hessian based analysis of SGD for Deep Nets: Dynamics and Generalization New insights and perspectives on the natural gradient method

Reference 45

Resolution: verified exact; arxiv_id, observed 2026-05-24T16:44:41.783397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 26e11389-cf61-4954-9b25-cafcc73497b2 · inbound

A Review on Machine Unlearning cites this paper.

A Review on Machine Unlearning New insights and perspectives on the natural gradient method

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-12T18:42:45.600488Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b38a4b94-38f9-45bd-8074-f0e82368ff1d · inbound

Benchmarking a wide range of optimisers for solving the Fermi-Hubbard model using the variational quantum eigensolver cites this paper.

Benchmarking a wide range of optimisers for solving the Fermi-Hubbard model using the variational quantum eigensolver New insights and perspectives on the natural gradient method

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-12T16:00:11.988955Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 40f4e19f-05d3-46a8-943c-d3df1680d908 · inbound

Fisher Information based Stochastic Gradient Ascent for Online Learning of Dirichlet Process Mixture and Theory cites this paper.

Fisher Information based Stochastic Gradient Ascent for Online Learning of Dirichlet Process Mixture and Theory New insights and perspectives on the natural gradient method

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-11T17:26:52.970847Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b9eb813d-d763-4836-b419-b0c075171035 · 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 New insights and perspectives on the natural gradient method

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-23T03:42:27.780556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 3242b6e2-523c-40eb-b817-2ff6bf0ba1b2 · inbound

General Uncertainty Estimation with Delta Variances cites this paper.

General Uncertainty Estimation with Delta Variances New insights and perspectives on the natural gradient method

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-05-23T02:42:26.369413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 613f02cc-0b21-46da-9afd-9c8b381c2936 · inbound

Option Pricing Using Ensemble Learning cites this paper.

Option Pricing Using Ensemble Learning New insights and perspectives on the natural gradient method

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T10:18:57.823667Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 16ae5a5c-c1af-426d-bbf4-aab0774634c5 · inbound

How to Protect Models against Adversarial Unlearning? cites this paper.

How to Protect Models against Adversarial Unlearning? New insights and perspectives on the natural gradient method

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-06T17:26:33.842067Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f8f4f60f-a989-418c-9560-a46ebcc53cd3 · inbound

AMIGO: a Data-Driven Calibration of the JWST Interferometer cites this paper.

AMIGO: a Data-Driven Calibration of the JWST Interferometer New insights and perspectives on the natural gradient method

Reference 76

Resolution: verified exact; arxiv_id, observed 2026-05-18T07:26:03.338915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 4acbcf46-c25b-41f4-a8d7-6aa9119eb6a6 · inbound

Learnability Window in Gated Recurrent Neural Networks cites this paper.

Learnability Window in Gated Recurrent Neural Networks New insights and perspectives on the natural gradient method

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-03T18:25:45.532459Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6b61bf36-eefc-4ab0-8019-56a63e0776f9 · inbound

Loss-aware state space geometry for quantum variational algorithms cites this paper.

Loss-aware state space geometry for quantum variational algorithms New insights and perspectives on the natural gradient method

Reference 96

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T22:35:49.539114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation b364ba10-2fda-42c5-b263-28886831ee34 · inbound

Natural gradient descent with momentum cites this paper.

Natural gradient descent with momentum New insights and perspectives on the natural gradient method

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-10T11:25:20.197746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation b6f56116-38d7-475b-97bd-9b11567c844a · inbound

Rotation-Preserving Supervised Fine-Tuning cites this paper.

Rotation-Preserving Supervised Fine-Tuning New insights and perspectives on the natural gradient method

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-13T06:27:24.504741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 00a0980b-1b2a-4215-a24a-fe2c2b96c3d8 · inbound

Approximating Hartree-Fock theory via an efficiently local reformulation cites this paper.

Approximating Hartree-Fock theory via an efficiently local reformulation New insights and perspectives on the natural gradient method

Reference 208

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T01:26:24.967249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 1479fd71-87fc-4913-b69d-c5a32550a04c · inbound

Attention-Discounted Adaptive Sampler for Masked Diffusion Language Models cites this paper.

Attention-Discounted Adaptive Sampler for Masked Diffusion Language Models New insights and perspectives on the natural gradient method

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-07-03T04:57:38.630726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 48279bfb-22cd-41b8-bc3d-c5aec492c78a · inbound

Quantifying the Agreement Between Data-Influence and Data-Similarity to Understand LLM Behavior cites this paper.

Quantifying the Agreement Between Data-Influence and Data-Similarity to Understand LLM Behavior New insights and perspectives on the natural gradient method

Reference 56

Resolution: verified exact; arxiv_id, observed 2026-06-26T08:49:14.833384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 444e57f1-0efa-41be-999d-bddec79102b2 · inbound

How Meta-Learning Shapes LoRA Adapter Geometry in Speech Deepfake Detection cites this paper.

How Meta-Learning Shapes LoRA Adapter Geometry in Speech Deepfake Detection New insights and perspectives on the natural gradient method

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-01T06:08:26.493783Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0f1fc7aa-7c49-4fbf-80ab-a03809defd40 · inbound

Towards Efficient Reasoning in LLM-Based Recommender Systems via Model Merging cites this paper.

Towards Efficient Reasoning in LLM-Based Recommender Systems via Model Merging New insights and perspectives on the natural gradient method

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-15T14:24:17.096547Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.