Paper Citation Record · LEDGER

Policy Newton Algorithm in Reproducing Kernel Hilbert Space

As of 8 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 0 inbound Pith citation observations for arXiv:2506.01597.

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

pith.paper-citation-record.v1
2506.01597 v1

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:47:50.149885Z

measured 41 of 41 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

41 of 41 outbound references displayed

verified exact0
verified fuzzy35
unresolved6
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4b7b9f4c-72a4-46d2-b80e-6957c595ad6f · outbound

This paper cites Practical kernel-based reinforcement learning.

Policy Newton Algorithm in Reproducing Kernel Hilbert Space Practical kernel-based reinforcement learning

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:48:04.956885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 3653c063-a122-4e06-be01-65c5a2d96b93 · outbound

This paper cites Optimization methods for large-scale machine learning.

Policy Newton Algorithm in Reproducing Kernel Hilbert Space Optimization methods for large-scale machine learning

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T11:46:59.667734Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 38d48e19-5543-48d1-9557-ebf4977680f1 · outbound

This paper cites A tutorial on support vector machines for pattern recognition.

Policy Newton Algorithm in Reproducing Kernel Hilbert Space A tutorial on support vector machines for pattern recognition

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:48:04.876836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 13bed701-f904-4d3c-a4ed-4720ea77e7aa · outbound

This paper cites Second-order kernel online convex optimization with adaptive sketching.

Policy Newton Algorithm in Reproducing Kernel Hilbert Space Second-order kernel online convex optimization with adaptive sketching

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:48:04.847498Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 833dadd6-932b-483e-a109-ac35a1e76fa7 · outbound

This paper cites Efficient second-order online kernel learning with adaptive embedding.

Policy Newton Algorithm in Reproducing Kernel Hilbert Space Efficient second-order online kernel learning with adaptive embedding

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:48:04.817517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 66a6884c-38b4-44ff-b2d4-ff98d238c5bd · outbound

This paper cites Super-universal regularized newton method.

Policy Newton Algorithm in Reproducing Kernel Hilbert Space Super-universal regularized newton method

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:48:04.787831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 3d5ebd50-3cb1-4545-8c89-e026517115d8 · outbound

This paper cites Approximate newton methods for policy search in markov decision processes.

Policy Newton Algorithm in Reproducing Kernel Hilbert Space Approximate newton methods for policy search in markov decision processes

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:48:04.756638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 97fcdeef-69c1-4c48-8455-3e7928ef8eb5 · outbound

This paper cites Stochastic first-and zeroth-order methods for nonconvex stochastic programming.

Policy Newton Algorithm in Reproducing Kernel Hilbert Space Stochastic first-and zeroth-order methods for nonconvex stochastic programming

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T11:46:59.916768Z

Source-reported events for the cited work

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Observation dbd4ba99-2f8b-4d8e-9153-fce6679a0e5c · outbound

This paper cites Quasi-newton trust region policy optimization.

Policy Newton Algorithm in Reproducing Kernel Hilbert Space Quasi-newton trust region policy optimization

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:48:04.708524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f4079ccf-9e7c-470a-acf0-0f3c0e83f18f · outbound

This paper cites Convergence and decomposition for tensor products of hilbert space operators.

Policy Newton Algorithm in Reproducing Kernel Hilbert Space Convergence and decomposition for tensor products of hilbert space operators

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:48:04.677002Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation bc939fe8-1343-4f21-9533-c852ae7b9509 · outbound

This paper cites The conjugate gradient method for optimal control problems.

Policy Newton Algorithm in Reproducing Kernel Hilbert Space The conjugate gradient method for optimal control problems

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:48:04.637324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation fe4ca90f-4ebe-4a9f-9738-6534b912330a · outbound

This paper cites Fastfood-approximating kernel expansions in loglinear time.

Policy Newton Algorithm in Reproducing Kernel Hilbert Space Fastfood-approximating kernel expansions in loglinear time

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:48:04.608166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 4b84e4da-8778-4e93-95e0-27ebad03447e · outbound

This paper cites Dynamic asset allocation exploiting predictors in reinforcement learning framework.

Policy Newton Algorithm in Reproducing Kernel Hilbert Space Dynamic asset allocation exploiting predictors in reinforcement learning framework

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:48:04.572162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation e1d471c3-68e0-4839-859e-f1e1a4992d63 · outbound

This paper cites Parameterizing non-parametric meta- reinforcement learning tasks via subtask decomposition.

Policy Newton Algorithm in Reproducing Kernel Hilbert Space Parameterizing non-parametric meta- reinforcement learning tasks via subtask decomposition

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:48:04.529875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f8f600a6-3d46-4ec1-8724-ed06dc5ad401 · outbound

This paper cites Modelling policies in mdps in reproducing kernel hilbert space.

Policy Newton Algorithm in Reproducing Kernel Hilbert Space Modelling policies in mdps in reproducing kernel hilbert space

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:48:04.488772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 6b61afb5-dbb2-4525-9a9a-987a1dcc4bd5 · outbound

This paper cites Approximate newton policy gradient algorithms.

Policy Newton Algorithm in Reproducing Kernel Hilbert Space Approximate newton policy gradient algorithms

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:48:04.454621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 7f25bcc2-dac5-46eb-acdd-6250d14cb206 · outbound

This paper cites Large scale online kernel learning.

Policy Newton Algorithm in Reproducing Kernel Hilbert Space Large scale online kernel learning

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:48:04.421894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation fc1380d5-8eb6-40cf-8ff1-2058ef874c43 · outbound

This paper cites A cubic-regularized policy newton algorithm for reinforcement learning.

Policy Newton Algorithm in Reproducing Kernel Hilbert Space A cubic-regularized policy newton algorithm for reinforcement learning

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:48:04.391581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 7231c35e-353e-4fc9-96fe-a75b203814e7 · outbound

This paper cites Methods for calculating fréchet derivatives and sensi- tivities for the non-linear inverse problem: A comparative study 1.

Policy Newton Algorithm in Reproducing Kernel Hilbert Space Methods for calculating fréchet derivatives and sensi- tivities for the non-linear inverse problem: A comparative study 1

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:48:04.356665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 5ea5a9df-5caa-42eb-a7bb-bb25694c7b8b · outbound

This paper cites A scalable kernel approach to reinforcement learning.

Policy Newton Algorithm in Reproducing Kernel Hilbert Space A scalable kernel approach to reinforcement learning

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:48:04.323716Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 8bb6f7b7-f84c-4c9d-a991-44f6b2920cc5 · outbound

This paper cites Nonparametric return distribution approximation for reinforcement learning.

Policy Newton Algorithm in Reproducing Kernel Hilbert Space Nonparametric return distribution approximation for reinforcement learning

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:48:04.292540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 3329dfd0-b5d1-4e86-ac10-4ebe278ef292 · outbound

This paper cites Universal approximation using radial-basis-function networks.

Policy Newton Algorithm in Reproducing Kernel Hilbert Space Universal approximation using radial-basis-function networks

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:48:04.257731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 003b426f-f54e-4705-85af-70a930919bdf · outbound

This paper cites Stochastic policy gradient ascent in Reproducing Kernel Hilbert Spaces.

Policy Newton Algorithm in Reproducing Kernel Hilbert Space Stochastic policy gradient ascent in Reproducing Kernel Hilbert Spaces

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:47:52.213074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 81c94938-e999-4a9a-9c0f-27865210e575 · outbound

This paper cites Policy gradient for continu- ing tasks in discounted markov decision processes.

Policy Newton Algorithm in Reproducing Kernel Hilbert Space Policy gradient for continu- ing tasks in discounted markov decision processes

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:47:52.122310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a91b2baf-e769-48e9-8fd6-0c563ae65891 · outbound

This paper cites A generalized representer theorem.

Policy Newton Algorithm in Reproducing Kernel Hilbert Space A generalized representer theorem

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:47:52.016067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 23626f5e-bdab-411a-8479-c0da69601e11 · outbound

This paper cites Hessian aided policy gradient.

Policy Newton Algorithm in Reproducing Kernel Hilbert Space Hessian aided policy gradient

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:47:51.935781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 721a06b7-58e8-412d-9f64-e2b8cc9f8b8a · outbound

This paper cites Sutton and Andrew G.

Policy Newton Algorithm in Reproducing Kernel Hilbert Space Sutton and Andrew G

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:47:51.879277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 780da708-98aa-4f7f-9af0-d8ba102221df · outbound

This paper cites Policy gradient meth- ods for reinforcement learning with function approximation.

Policy Newton Algorithm in Reproducing Kernel Hilbert Space Policy gradient meth- ods for reinforcement learning with function approximation

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:47:51.811639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation db8fda62-43a1-451d-be2c-f9c699a1f68f · outbound

This paper cites Mujoco: A physics engine for model-based control.

Policy Newton Algorithm in Reproducing Kernel Hilbert Space Mujoco: A physics engine for model-based control

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:47:51.659982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a5b2a4c8-3792-4df8-aa02-fb2cbf635817 · outbound

This paper cites Gymnasium: A Standard Interface for Reinforcement Learning Environments.

Policy Newton Algorithm in Reproducing Kernel Hilbert Space Gymnasium: A Standard Interface for Reinforcement Learning Environments

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T11:47:00.789638Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 02af97c1-5ca6-4bb0-8782-5995bc1b82e6 · outbound

This paper cites On the convergence rates of policy gradient methods.

Policy Newton Algorithm in Reproducing Kernel Hilbert Space On the convergence rates of policy gradient methods

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:47:51.488017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 19576e37-37c5-473e-b4d1-e447101462d8 · outbound

This paper cites Safety aarl: Weight adjustment for reinforcement- learning-based safety dynamic asset allocation strategies.

Policy Newton Algorithm in Reproducing Kernel Hilbert Space Safety aarl: Weight adjustment for reinforcement- learning-based safety dynamic asset allocation strategies

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:47:51.261797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c966317b-dbda-4ec6-aa2d-c657b80d4d5e · outbound

This paper cites Global convergence of policy gradient methods to (almost) locally optimal policies.

Policy Newton Algorithm in Reproducing Kernel Hilbert Space Global convergence of policy gradient methods to (almost) locally optimal policies

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:47:51.088717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f6117b3b-e7c0-458c-b880-c7702b497bf9 · outbound

This paper cites Residual kernel policy network: Enhancing stability and robustness in rkhs-based reinforcement learning.

Policy Newton Algorithm in Reproducing Kernel Hilbert Space Residual kernel policy network: Enhancing stability and robustness in rkhs-based reinforcement learning

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:47:50.938637Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation eefec5d7-cb49-43c7-8f8c-d4fe312d2f92 · outbound

This paper cites Let Xl(¯hα) = ⟨∇h log πh(xl), ¯hα⟩.

Policy Newton Algorithm in Reproducing Kernel Hilbert Space Let Xl(¯hα) = ⟨∇h log πh(xl), ¯hα⟩

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:47:50.866789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c17661dd-2369-47db-8a2b-8af870177b72 · outbound

This paper cites The quadratic form is ⟨H (2) op ◦ ¯hα, ¯hα⟩ = PM l=1 Ψl(τ )T Cova′∼π(·|sl)[K((sl, a′), ·)] ◦ ¯hα, ¯hα.

Policy Newton Algorithm in Reproducing Kernel Hilbert Space The quadratic form is ⟨H (2) op ◦ ¯hα, ¯hα⟩ = PM l=1 Ψl(τ )T Cova′∼π(·|sl)[K((sl, a′), ·)] ◦ ¯hα, ¯hα

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:47:50.761713Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 79e304ea-8a78-47ab-bb4b-31c99d707f03 · outbound

This paper cites an unresolved cited work.

Policy Newton Algorithm in Reproducing Kernel Hilbert Space Unresolved cited work

Reference 37

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:47:50.668667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 6c83b39f-e70e-4ee4-9eed-320ffc79e778 · outbound

This paper cites an unresolved cited work.

Policy Newton Algorithm in Reproducing Kernel Hilbert Space Unresolved cited work

Reference 38

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:47:50.586986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 01608c29-4aaf-4239-bc34-65ba0de52e6a · outbound

This paper cites The conjugate gradient method is employed to efficiently solve this linear system, avoiding the high computational cost of directly computing (H + β 2 ∥ ¯α∥I)−1.

Policy Newton Algorithm in Reproducing Kernel Hilbert Space The conjugate gradient method is employed to efficiently solve this linear system, avoiding the high computational cost of directly computing (H + β 2 ∥ ¯α∥I)−1

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:47:50.492623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f067549e-a9fe-47fe-ae8d-823daa821abe · outbound

This paper cites an unresolved cited work.

Policy Newton Algorithm in Reproducing Kernel Hilbert Space Unresolved cited work

Reference 40

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:47:50.408207Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 0da68224-54a2-447d-80f2-e8747929df11 · outbound

This paper cites To balance optimization accuracy and computational efficiency, we set the convergence tolerance to10−3 and the maximum number of iterations to 500.

Policy Newton Algorithm in Reproducing Kernel Hilbert Space To balance optimization accuracy and computational efficiency, we set the convergence tolerance to10−3 and the maximum number of iterations to 500

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:47:50.310407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Pith citing papers

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