Pith. sign in

Paper Citation Record · LEDGER

Direct Data Driven Natural Gradient Descent for Control

As of 17 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:2607.03393.

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

pith.paper-citation-record.v1
2607.03393 v1

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-12T02:49:16.884263Z

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

28 of 28 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved28
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 916fc5ec-be97-4c74-9622-522b115416a5 · outbound

This paper cites An overview of gradient descent optimization algorithms,.

Direct Data Driven Natural Gradient Descent for Control An overview of gradient descent optimization algorithms,

Reference 1

Resolution
unresolved
no resolver link, observed 2026-07-12T02:49:16.884263Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T02:49:16.884263Z digest=sha256:ab65e9bfd84c1255b17eb18a011395b0454894f345125343339db357bc5f0bd4

Observation a7a12a0a-7e6c-4422-a61b-a58fa693b720 · outbound

This paper cites A lyapunov analysis for accelerated gra- dient methods: From deterministic to stochastic case,.

Direct Data Driven Natural Gradient Descent for Control A lyapunov analysis for accelerated gra- dient methods: From deterministic to stochastic case,

Reference 2

Resolution
unresolved
no resolver link, observed 2026-07-12T02:49:16.884263Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T02:49:16.884263Z digest=sha256:1a26eec34399871a14ee6994022417c96a2977da78517753ff49fea3fb5312c7

Observation 8a426a69-074e-4516-b1f5-022314dd4c41 · outbound

This paper cites New insights and perspectives on the natural gradient method,.

Direct Data Driven Natural Gradient Descent for Control New insights and perspectives on the natural gradient method,

Reference 3

Resolution
unresolved
no resolver link, observed 2026-07-12T02:49:16.884263Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T02:49:16.884263Z digest=sha256:4c7ab48dfa0e8e9ab4c82f5527618202b850580fd32fff85deac2cb501e7dc1b

Observation 5551a5c0-790a-4666-816e-31909972a957 · outbound

This paper cites Defining and characterizing reward gaming,.

Direct Data Driven Natural Gradient Descent for Control Defining and characterizing reward gaming,

Reference 4

Resolution
unresolved
no resolver link, observed 2026-07-12T02:49:16.884263Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T02:49:16.884263Z digest=sha256:dde6afcdf56239bb5c5432902f7fb2dff740fd487e141697f8147fd29aadb239

Observation b03ba784-51a0-442d-96c6-6783971f4327 · outbound

This paper cites Opti- mization algorithms as robust feedback controllers,.

Direct Data Driven Natural Gradient Descent for Control Opti- mization algorithms as robust feedback controllers,

Reference 5

Resolution
unresolved
no resolver link, observed 2026-07-12T02:49:16.884263Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T02:49:16.884263Z digest=sha256:ed56dc0d9dce358ab5b1ab312d92f62570018cf654547ddb7cf918ebe516ebd6

Observation d583bc6b-431d-4611-90a5-a41286184405 · outbound

This paper cites Analysis and design of opti- mization algorithms via integral quadratic constraints,.

Direct Data Driven Natural Gradient Descent for Control Analysis and design of opti- mization algorithms via integral quadratic constraints,

Reference 6

Resolution
unresolved
no resolver link, observed 2026-07-12T02:49:16.884263Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T02:49:16.884263Z digest=sha256:01dc3313ecbc9f3d68b55e9e3f837809005df5d48b7e1066e91ea689d3da80da

Observation 9912c0dc-3252-4eea-b37c-7ef221ced2d4 · outbound

This paper cites Analysis of gradient descent with vary- ing step sizes using integral quadratic constraints,.

Direct Data Driven Natural Gradient Descent for Control Analysis of gradient descent with vary- ing step sizes using integral quadratic constraints,

Reference 7

Resolution
unresolved
no resolver link, observed 2026-07-12T02:49:16.884263Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T02:49:16.884263Z digest=sha256:00e6d803e11858f925816d85b91317757b7a44da94f0c8918d5c2bc4c5875827

Observation 436080d4-653f-47d1-831f-1d852d506cec · outbound

This paper cites Passivity and Immersion based-modified gradient estimator: A control perspective in parameter estimation.

Direct Data Driven Natural Gradient Descent for Control Passivity and Immersion based-modified gradient estimator: A control perspective in parameter estimation

Reference 8

Resolution
unresolved
no resolver link, observed 2026-07-12T02:49:16.884263Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T02:49:16.884263Z digest=sha256:ffce2269017426af9ff735699676928fb9fc7aad1afd127e5e68d92274120836

Observation 18b4c094-08be-4210-a637-3dbdba7c4dfb · outbound

This paper cites Trajectory-oriented control using gradient descent: An unconventional approach,.

Direct Data Driven Natural Gradient Descent for Control Trajectory-oriented control using gradient descent: An unconventional approach,

Reference 9

Resolution
unresolved
no resolver link, observed 2026-07-12T02:49:16.884263Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T02:49:16.884263Z digest=sha256:e2d18de2fd428c693f5047dede1805014db78b9859c3fd7f4aa636109b807c33

Observation 1729cd0d-0cb8-4744-a931-dbef2d189e44 · outbound

This paper cites Natural gradient descent for control,.

Direct Data Driven Natural Gradient Descent for Control Natural gradient descent for control,

Reference 10

Resolution
unresolved
no resolver link, observed 2026-07-12T02:49:16.884263Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T02:49:16.884263Z digest=sha256:c654c31bbc40bd618c14dbeda0570c0257e05a864b8ecf2912e6e22816e2dcb1

Observation db11677a-85d5-4a60-b390-8393d9ed961f · outbound

This paper cites Low-complexity learning of linear quadratic regulators from noisy data,.

Direct Data Driven Natural Gradient Descent for Control Low-complexity learning of linear quadratic regulators from noisy data,

Reference 11

Resolution
unresolved
no resolver link, observed 2026-07-12T02:49:16.884263Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T02:49:16.884263Z digest=sha256:bc1b6a4b0dc70ce12cde4ac4a9a2d06c2bd475ad226a6212dea8b3a2c3a164dc

Observation 967dfa89-6258-4c28-a96a-1fbf5b0ca248 · outbound

This paper cites Bridging direct and indirect data-driven control formulations via regularizations and relaxations,.

Direct Data Driven Natural Gradient Descent for Control Bridging direct and indirect data-driven control formulations via regularizations and relaxations,

Reference 12

Resolution
unresolved
no resolver link, observed 2026-07-12T02:49:16.884263Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T02:49:16.884263Z digest=sha256:0d7a308c4010f0e0dcd120695b0c2eab5e936d6b449caf99414ab72c34562b85

Observation ab07ce93-ffc0-4830-af95-0d1653d72850 · outbound

This paper cites Direct data-driven discounted infinite hori- zon linear quadratic regulator with robustness guarantees,.

Direct Data Driven Natural Gradient Descent for Control Direct data-driven discounted infinite hori- zon linear quadratic regulator with robustness guarantees,

Reference 13

Resolution
unresolved
no resolver link, observed 2026-07-12T02:49:16.884263Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T02:49:16.884263Z digest=sha256:df78b9768d6545dca9f7ade39709b4f160f4d203389ed17f929edd8f7099e5f6

Observation d105f1dc-1822-42e2-bc53-55f51973f6d5 · outbound

This paper cites Natural gradient works efficiently in learning,.

Direct Data Driven Natural Gradient Descent for Control Natural gradient works efficiently in learning,

Reference 14

Resolution
unresolved
no resolver link, observed 2026-07-12T02:49:16.884263Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T02:49:16.884263Z digest=sha256:33ef85a98573c3ac81347a933854f87cd2b4e20a1fd7bd7cdd788d0b7d1829f9

Observation c4bd93a2-145e-4548-ba6f-12eb41c61175 · outbound

This paper cites Data-Enabled Policy Optimization for Direct Adaptive Learning of the LQR.

Direct Data Driven Natural Gradient Descent for Control Data-Enabled Policy Optimization for Direct Adaptive Learning of the LQR

Reference 15

Resolution
unresolved
no resolver link, observed 2026-07-12T02:49:16.884263Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T02:49:16.884263Z digest=sha256:5e09dd52bddbe8132a3810e052359e22b514f874a418fd709b886881caed9fbd

Observation 5a0ceff3-b952-42b7-acd4-3733b12f9fda · outbound

This paper cites A new approach to linear filtering and prediction problems,.

Direct Data Driven Natural Gradient Descent for Control A new approach to linear filtering and prediction problems,

Reference 16

Resolution
unresolved
no resolver link, observed 2026-07-12T02:49:16.884263Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T02:49:16.884263Z digest=sha256:9121c77576ff7b2b3c200eb4fc7a7688f79c8f3457c1b67e4c41e19343759e86

Observation 3c310d80-c8d2-4521-bb89-f75c9d3c1328 · outbound

This paper cites Blanchini and S.

Direct Data Driven Natural Gradient Descent for Control Blanchini and S

Reference 17

Resolution
unresolved
no resolver link, observed 2026-07-12T02:49:16.884263Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T02:49:16.884263Z digest=sha256:68c3368cf8b8c217776e1f0ed360ad06e613c120fbb285c075938a1151a37048

Observation 26356c0e-86ce-44e1-b2b6-5aa8639098b0 · outbound

This paper cites Covariance control theory,.

Direct Data Driven Natural Gradient Descent for Control Covariance control theory,

Reference 18

Resolution
unresolved
no resolver link, observed 2026-07-12T02:49:16.884263Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T02:49:16.884263Z digest=sha256:a16cc1b0e7abe9c7b43017832bd0bec08648a24e7b4bfc12b6eb3d54e1e16ded

Observation 7c5e2803-e3cc-40b2-b6d0-b68af76aadfb · outbound

This paper cites A data-driven riccati equation,.

Direct Data Driven Natural Gradient Descent for Control A data-driven riccati equation,

Reference 19

Resolution
unresolved
no resolver link, observed 2026-07-12T02:49:16.884263Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T02:49:16.884263Z digest=sha256:64220a87fb2ed34a804ec47faa8fd7fc40e7f9695179fcb6253166e80dcd6475

Observation 5af2055c-3890-4061-b508-ef369af20b78 · outbound

This paper cites Linear quadratic dual control,.

Direct Data Driven Natural Gradient Descent for Control Linear quadratic dual control,

Reference 20

Resolution
unresolved
no resolver link, observed 2026-07-12T02:49:16.884263Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T02:49:16.884263Z digest=sha256:2ab4da2ffe82af3df8561542fa6e916d7f2013e1f7bf42428349b207360d101d

Observation 296dcdcc-8d62-480e-a682-f844a8fff094 · outbound

This paper cites Finite-time Identification of Stable Linear Systems: Optimality of the Least-Squares Estimator.

Direct Data Driven Natural Gradient Descent for Control Finite-time Identification of Stable Linear Systems: Optimality of the Least-Squares Estimator

Reference 21

Resolution
unresolved
no resolver link, observed 2026-07-12T02:49:16.884263Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T02:49:16.884263Z digest=sha256:6e8c5807bd1fa09358b7790f5492d17ad933cf80c8c161625d772469ec7178c0

Observation 0204beb7-66f4-4886-97b6-9481e6fae5c7 · outbound

This paper cites Learning without mixing: Towards a sharp analysis of linear system identifi- cation,.

Direct Data Driven Natural Gradient Descent for Control Learning without mixing: Towards a sharp analysis of linear system identifi- cation,

Reference 22

Resolution
unresolved
no resolver link, observed 2026-07-12T02:49:16.884263Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T02:49:16.884263Z digest=sha256:5bc8d5fbdd48ff5200950cf59c057fb25f8772c68a27d580f3633b03aee4a758

Observation 5ec75026-d4bc-4ed8-9317-4b3e98bec966 · outbound

This paper cites CVXPY: A Python-embedded modeling lan- guage for convex optimization,.

Direct Data Driven Natural Gradient Descent for Control CVXPY: A Python-embedded modeling lan- guage for convex optimization,

Reference 23

Resolution
unresolved
no resolver link, observed 2026-07-12T02:49:16.884263Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T02:49:16.884263Z digest=sha256:65a7c02498f9db044bb7f35068d14d8c010ea3eab5273213f489b9939aef5a68

Observation 23bc8143-3594-4f1f-af25-5adc2d2ffb8b · outbound

This paper cites A rewriting system for convex optimization problems,.

Direct Data Driven Natural Gradient Descent for Control A rewriting system for convex optimization problems,

Reference 24

Resolution
unresolved
no resolver link, observed 2026-07-12T02:49:16.884263Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T02:49:16.884263Z digest=sha256:989529be88474f357e56c8b8c0221386f94bbed48fc1795f7f8702c8f0f84489

Observation 826275d0-1cb9-430b-8379-72031119219f · outbound

This paper cites ApS,MOSEK Optimizer API for Python 9.3.22, 2022.

Direct Data Driven Natural Gradient Descent for Control ApS,MOSEK Optimizer API for Python 9.3.22, 2022

Reference 25

Resolution
unresolved
no resolver link, observed 2026-07-12T02:49:16.884263Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T02:49:16.884263Z digest=sha256:47d7a02921d8decab5a426c629051efbb4f5daa31c4171dd65576af0201b6a4e

Observation 1b010dfb-e5ee-44d9-9596-d6b606350341 · outbound

This paper cites Finite-time pure pursuit guidance control of a four mecanum wheeled mobile robot with active disturbance rejection,.

Direct Data Driven Natural Gradient Descent for Control Finite-time pure pursuit guidance control of a four mecanum wheeled mobile robot with active disturbance rejection,

Reference 26

Resolution
unresolved
no resolver link, observed 2026-07-12T02:49:16.884263Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T02:49:16.884263Z digest=sha256:3c51799faf75fe515d349679d0c3818f4820345590f2cde8f1468f2ad0d41dbe

Observation c57dfc4b-5b0d-4e23-ac25-bc80204f5065 · outbound

This paper cites Path-following control of mecanum-wheels omnidirectional mobile robots using nonsingular terminal sliding mode,.

Direct Data Driven Natural Gradient Descent for Control Path-following control of mecanum-wheels omnidirectional mobile robots using nonsingular terminal sliding mode,

Reference 27

Resolution
unresolved
no resolver link, observed 2026-07-12T02:49:16.884263Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T02:49:16.884263Z digest=sha256:8a724e46c3e8d48bff8e33948b0a0c067de263bad24e5aad1515891d24fdc422

Observation 345bd967-b6ec-4bf4-97b1-e4bac67baf47 · outbound

This paper cites Kinematic modeling for feedback control of an omnidirectional wheeled mobile robot,.

Direct Data Driven Natural Gradient Descent for Control Kinematic modeling for feedback control of an omnidirectional wheeled mobile robot,

Reference 28

Resolution
unresolved
no resolver link, observed 2026-07-12T02:49:16.884263Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T02:49:16.884263Z digest=sha256:50b98cb02d405074152ce6490f2423a73af4ab635d5b2480268d42e2dd6e2507

Pith citing papers

No inbound Pith citation observations are available.