Paper Citation Record · LEDGER

Toward a Unified Lyapunov-Certified ODE Convergence Analysis of Smooth Q-Learning with p-Norms

As of 22 July 2026, this Paper Citation Record lists 60 of 60 outbound references and 2 inbound Pith citation observations for arXiv:2404.14442.

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

pith.paper-citation-record.v1
2404.14442 v7

Coverage vector

measured 60 of 60 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-24T02:16:04.596951Z

measured 62 of 62 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-07-22T06:31:00.163083+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-10T18:45:48.543849Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T23:36:38.356022Z

Reference resolution

60 of 60 outbound references displayed

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External citation measurements

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Outbound references

Observation 28cc24c6-c65a-486a-85fa-197fe053a6ce · outbound

This paper cites an unresolved cited work.

Toward a Unified Lyapunov-Certified ODE Convergence Analysis of Smooth Q-Learning with p-Norms Unresolved cited work

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T02:18:46.397653Z

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Observation 97aacc98-5917-43ab-8f17-ce5e51f28664 · outbound

This paper cites Human-level control through deep rein- forcement learning.

Toward a Unified Lyapunov-Certified ODE Convergence Analysis of Smooth Q-Learning with p-Norms Human-level control through deep rein- forcement learning

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T02:18:46.292830Z

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Observation 3cc5354f-bf5f-4605-92aa-a3b3884f803e · outbound

This paper cites Q-learning.

Toward a Unified Lyapunov-Certified ODE Convergence Analysis of Smooth Q-Learning with p-Norms Q-learning

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T02:18:46.296427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation af840059-9b62-4580-bd77-db791cf081e8 · outbound

This paper cites Convergence of st ochastic iterative dynamic programming algorithms.

Toward a Unified Lyapunov-Certified ODE Convergence Analysis of Smooth Q-Learning with p-Norms Convergence of st ochastic iterative dynamic programming algorithms

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T02:18:46.300384Z

Source-reported events for the cited work

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Observation e79e4f8b-0f33-47c4-a390-8f4b462ea87f · outbound

This paper cites The ODE method for convergence of stochastic approximation and reinforcement learning.

Toward a Unified Lyapunov-Certified ODE Convergence Analysis of Smooth Q-Learning with p-Norms The ODE method for convergence of stochastic approximation and reinforcement learning

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T02:18:46.311443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 6f1771e3-8a63-461b-8875-d4a6458d8872 · outbound

This paper cites A uniﬁed switching system perspective and con vergence analysis of Q- learning algorithms.

Toward a Unified Lyapunov-Certified ODE Convergence Analysis of Smooth Q-Learning with p-Norms A uniﬁed switching system perspective and con vergence analysis of Q- learning algorithms

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T02:18:46.281535Z

Source-reported events for the cited work

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Observation 940e2db8-f018-4452-a4d3-d18c1d92a81c · outbound

This paper cites Asynchronous stochastic approximation and Q- learning.

Toward a Unified Lyapunov-Certified ODE Convergence Analysis of Smooth Q-Learning with p-Norms Asynchronous stochastic approximation and Q- learning

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T02:18:46.285313Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 183a7283-d48a-4457-8366-773752a8d3e1 · outbound

This paper cites Conv ergence results for single-step on-policy reinforcement-learning algorithms.

Toward a Unified Lyapunov-Certified ODE Convergence Analysis of Smooth Q-Learning with p-Norms Conv ergence results for single-step on-policy reinforcement-learning algorithms

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T02:18:46.270691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation f7574daf-02c6-4a4f-b65f-4bfe96c4dde6 · outbound

This paper cites The asymptotic convergence-rate of Q-lear ning.

Toward a Unified Lyapunov-Certified ODE Convergence Analysis of Smooth Q-Learning with p-Norms The asymptotic convergence-rate of Q-lear ning

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T02:18:46.274225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation ec2fd1a0-1e56-461f-92f9-b5246cd4e3c8 · outbound

This paper cites Learning rates for Q-learning.

Toward a Unified Lyapunov-Certified ODE Convergence Analysis of Smooth Q-Learning with p-Norms Learning rates for Q-learning

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T02:18:46.265922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 143ef549-f556-4ede-bd22-6b3cb1548ee3 · outbound

This paper cites Error bounds for constant step- size Q-learning.

Toward a Unified Lyapunov-Certified ODE Convergence Analysis of Smooth Q-Learning with p-Norms Error bounds for constant step- size Q-learning

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T02:18:46.363059Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation cab0cf58-eaa2-4bbc-8c10-2ea6b677ea25 · outbound

This paper cites Stochastic approximation with cone-contractive operators: Sharp $\ell_\infty$-bounds for $Q$-learning.

Toward a Unified Lyapunov-Certified ODE Convergence Analysis of Smooth Q-Learning with p-Norms Stochastic approximation with cone-contractive operators: Sharp $\ell_\infty$-bounds for $Q$-learning

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-05-24T02:18:44.883030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 09b93c36-6021-4eba-827f-4b394ae47756 · outbound

This paper cites Finite-Time Analysis of Asynchronous Stochastic Approximation and $Q$-Learning.

Toward a Unified Lyapunov-Certified ODE Convergence Analysis of Smooth Q-Learning with p-Norms Finite-Time Analysis of Asynchronous Stochastic Approximation and $Q$-Learning

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-24T02:18:44.877485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 3480e319-29f3-457a-a428-e5f7bc10fc2b · outbound

This paper cites Sample Complexity of Asynchronous Q-Learning: Sharper Analysis and Variance Reduction.

Toward a Unified Lyapunov-Certified ODE Convergence Analysis of Smooth Q-Learning with p-Norms Sample Complexity of Asynchronous Q-Learning: Sharper Analysis and Variance Reduction

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-24T02:18:44.857935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 886d6936-c725-4e7f-8730-96008331033e · outbound

This paper cites A Lyapunov Theory for Finite-Sample Guarantees of Asynchronous Q-Learning and TD-Learning Variants.

Toward a Unified Lyapunov-Certified ODE Convergence Analysis of Smooth Q-Learning with p-Norms A Lyapunov Theory for Finite-Sample Guarantees of Asynchronous Q-Learning and TD-Learning Variants

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-24T02:18:44.890270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 476ec9ca-3f23-4922-9344-d2f89aa69f06 · outbound

This paper cites Finite-sample analysis of contractive stochastic approxim ation using smooth convex envelopes.

Toward a Unified Lyapunov-Certified ODE Convergence Analysis of Smooth Q-Learning with p-Norms Finite-sample analysis of contractive stochastic approxim ation using smooth convex envelopes

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T02:18:46.367176Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation abfdc2e7-f26b-4d39-870d-914537ff166b · outbound

This paper cites Final iteration convergence of Q-learning: Switching s ystem approach.

Toward a Unified Lyapunov-Certified ODE Convergence Analysis of Smooth Q-Learning with p-Norms Final iteration convergence of Q-learning: Switching s ystem approach

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T02:18:46.348068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 5cabdf23-b006-4da3-9391-af2b85ac67a8 · outbound

This paper cites A convergento(n) temporal-diﬀerence algorithm for oﬀ-policy learning with linear function approximation.

Toward a Unified Lyapunov-Certified ODE Convergence Analysis of Smooth Q-Learning with p-Norms A convergento(n) temporal-diﬀerence algorithm for oﬀ-policy learning with linear function approximation

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T02:18:46.250979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 7a3deb8f-347d-4773-bf42-85f8de6abaa5 · outbound

This paper cites Fast gradient-descent methods for temporal-diﬀerence learnin g with linear function approx- imation.

Toward a Unified Lyapunov-Certified ODE Convergence Analysis of Smooth Q-Learning with p-Norms Fast gradient-descent methods for temporal-diﬀerence learnin g with linear function approx- imation

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T02:18:46.255130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 693dfff2-9f50-4540-880a-b40f038321cf · outbound

This paper cites Gradient temporal- diﬀerence learning with regularized corrections.

Toward a Unified Lyapunov-Certified ODE Convergence Analysis of Smooth Q-Learning with p-Norms Gradient temporal- diﬀerence learning with regularized corrections

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T02:18:46.328433Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 204f6c31-5ca5-4b2d-b4b6-72f465bb9dee · outbound

This paper cites New versions of gradien t temporal diﬀerence learning.

Toward a Unified Lyapunov-Certified ODE Convergence Analysis of Smooth Q-Learning with p-Norms New versions of gradien t temporal diﬀerence learning

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T02:18:46.243220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 4aba900d-c1bd-4a37-9a71-398796c44c6e · outbound

This paper cites An analysis of reinforc ement learning with function approximation.

Toward a Unified Lyapunov-Certified ODE Convergence Analysis of Smooth Q-Learning with p-Norms An analysis of reinforc ement learning with function approximation

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T02:18:46.343943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 6d5195b9-accc-45cb-8d72-6cac39780f78 · outbound

This paper cites Bhatnagar, H.

Toward a Unified Lyapunov-Certified ODE Convergence Analysis of Smooth Q-Learning with p-Norms Bhatnagar, H

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T02:18:46.340034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation b73ef3ca-4540-4b9d-accf-a535f093520c · outbound

This paper cites Reinforceme nt learning with deep energy- based policies.

Toward a Unified Lyapunov-Certified ODE Convergence Analysis of Smooth Q-Learning with p-Norms Reinforceme nt learning with deep energy- based policies

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T02:18:46.239204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation caac22d1-c0e6-4d43-8d40-de4bfbb0653e · outbound

This paper cites Revisiting the softmax Bellman o perator: New beneﬁts and new perspective.

Toward a Unified Lyapunov-Certified ODE Convergence Analysis of Smooth Q-Learning with p-Norms Revisiting the softmax Bellman o perator: New beneﬁts and new perspective

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T02:18:46.246923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 17a14c53-3214-4ba0-8949-8cb9d795d29f · outbound

This paper cites Reinforcemen t learning with dynamic Boltzmann softmax updates.

Toward a Unified Lyapunov-Certified ODE Convergence Analysis of Smooth Q-Learning with p-Norms Reinforcemen t learning with dynamic Boltzmann softmax updates

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T02:18:46.258916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 1433e224-7f39-4771-875b-1805dec87a05 · outbound

This paper cites An alternative softmax operator for reinforcement learning.

Toward a Unified Lyapunov-Certified ODE Convergence Analysis of Smooth Q-Learning with p-Norms An alternative softmax operator for reinforcement learning

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T02:18:46.289210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation c9cbe175-75fe-4ad1-9b5a-0807d9c9e361 · outbound

This paper cites Smoothed Q-learning.

Toward a Unified Lyapunov-Certified ODE Convergence Analysis of Smooth Q-Learning with p-Norms Smoothed Q-learning

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-24T02:18:44.864713Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation c3c3ef14-6946-4d41-a43a-5a3413f9668f · outbound

This paper cites An analog scheme for ﬁxed point computation. i. theory.

Toward a Unified Lyapunov-Certified ODE Convergence Analysis of Smooth Q-Learning with p-Norms An analog scheme for ﬁxed point computation. i. theory

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T02:18:46.223591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 4ccd7d8d-3fc9-4caf-8f24-dc6aee59cf7a · outbound

This paper cites Liberzon, Switching in systems and control.

Toward a Unified Lyapunov-Certified ODE Convergence Analysis of Smooth Q-Learning with p-Norms Liberzon, Switching in systems and control

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T02:18:46.227607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation c4216a61-52e0-47cb-99a4-797ce582ce96 · outbound

This paper cites Uniﬁed ﬁnite-time error analysis of soft q -learning.

Toward a Unified Lyapunov-Certified ODE Convergence Analysis of Smooth Q-Learning with p-Norms Uniﬁed ﬁnite-time error analysis of soft q -learning

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T02:18:46.231158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation cd0296a3-0135-48af-8b76-e08200c65e47 · outbound

This paper cites SBEED: Convergent reinforcement learning with nonlinear function approximation.

Toward a Unified Lyapunov-Certified ODE Convergence Analysis of Smooth Q-Learning with p-Norms SBEED: Convergent reinforcement learning with nonlinear function approximation

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T02:18:46.393955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation e7867490-3ee2-4be7-bba1-08f01f5863cf · outbound

This paper cites On the Properties of the Softmax Function with Application in Game Theory and Reinforcement Learning.

Toward a Unified Lyapunov-Certified ODE Convergence Analysis of Smooth Q-Learning with p-Norms On the Properties of the Softmax Function with Application in Game Theory and Reinforcement Learning

Reference 33

Resolution: verified exact; local_arxiv, observed 2026-05-24T02:18:44.871063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation c7906621-92a0-4863-9e1e-4e29722253d2 · outbound

This paper cites Nonlinear systems.

Toward a Unified Lyapunov-Certified ODE Convergence Analysis of Smooth Q-Learning with p-Norms Nonlinear systems

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T02:18:46.215869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 735754e0-fd8d-4e28-9998-1128d45754de · outbound

This paper cites an unresolved cited work.

Toward a Unified Lyapunov-Certified ODE Convergence Analysis of Smooth Q-Learning with p-Norms Unresolved cited work

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T02:18:46.207860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 24dc0017-51c2-4ee4-b328-425d730c6cd4 · outbound

This paper cites Finite-time analysis of asynchronous q-lea rning under diminishing step-size from control-theoretic view.

Toward a Unified Lyapunov-Certified ODE Convergence Analysis of Smooth Q-Learning with p-Norms Finite-time analysis of asynchronous q-lea rning under diminishing step-size from control-theoretic view

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T02:18:46.378810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 050e7beb-d5ec-420e-9067-70bae24944e8 · outbound

This paper cites Kushner and G.

Toward a Unified Lyapunov-Certified ODE Convergence Analysis of Smooth Q-Learning with p-Norms Kushner and G

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T02:18:46.262508Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 32c53f3e-5a1b-4ad3-b662-a2f586b033a8 · outbound

This paper cites A stochastic approximation method.

Toward a Unified Lyapunov-Certified ODE Convergence Analysis of Smooth Q-Learning with p-Norms A stochastic approximation method

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T02:18:46.277565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation c172d941-e6d5-42d4-87ed-2fa7b06a56d8 · outbound

This paper cites Note on the derivatives with respect to a param eter of the solutions of a system of diﬀerential equations.

Toward a Unified Lyapunov-Certified ODE Convergence Analysis of Smooth Q-Learning with p-Norms Note on the derivatives with respect to a param eter of the solutions of a system of diﬀerential equations

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T02:18:46.382288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 95d2fe58-6c54-4e9e-a64a-e294ae96110a · outbound

This paper cites an unresolved cited work.

Toward a Unified Lyapunov-Certified ODE Convergence Analysis of Smooth Q-Learning with p-Norms Unresolved cited work

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T02:18:46.390422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation cef9e683-cc38-4edf-8937-083424958d00 · outbound

This paper cites an unresolved cited work.

Toward a Unified Lyapunov-Certified ODE Convergence Analysis of Smooth Q-Learning with p-Norms Unresolved cited work

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T02:18:46.375125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 57f7574a-3fbe-4ece-924f-b63212d35649 · outbound

This paper cites an unresolved cited work.

Toward a Unified Lyapunov-Certified ODE Convergence Analysis of Smooth Q-Learning with p-Norms Unresolved cited work

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T02:18:46.371153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 0d6a051b-712a-4517-a989-a9d2cc61b94b · outbound

This paper cites In addition, there exists a constant C0 < ∞ such that for any initial θ0 ∈ Rn, we have E[∥εk+1∥2 2|Gk] ≤ C0(1 + ∥θk∥2 2), ∀k ≥ 0.

Toward a Unified Lyapunov-Certified ODE Convergence Analysis of Smooth Q-Learning with p-Norms In addition, there exists a constant C0 < ∞ such that for any initial θ0 ∈ Rn, we have E[∥εk+1∥2 2|Gk] ≤ C0(1 + ∥θk∥2 2), ∀k ≥ 0

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T02:18:46.386309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 2a9b36a8-47c3-4aaa-950e-ec246c9e1213 · outbound

This paper cites (17) Lemma 2 ( [5, Borkar and Meyn theorem]).

Toward a Unified Lyapunov-Certified ODE Convergence Analysis of Smooth Q-Learning with p-Norms (17) Lemma 2 ( [5, Borkar and Meyn theorem])

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T02:18:46.356212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 17ef970e-76f9-4dba-9839-10f99c0c24c1 · outbound

This paper cites an unresolved cited work.

Toward a Unified Lyapunov-Certified ODE Convergence Analysis of Smooth Q-Learning with p-Norms Unresolved cited work

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T02:18:46.332290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation bd502002-6b8c-4ffb-93ce-801bda678d54 · outbound

This paper cites e., xt → H as t → ∞.

Toward a Unified Lyapunov-Certified ODE Convergence Analysis of Smooth Q-Learning with p-Norms e., xt → H as t → ∞

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T02:18:46.351917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 953d76c0-123b-4329-9b10-d072fc4b4707 · outbound

This paper cites an unresolved cited work.

Toward a Unified Lyapunov-Certified ODE Convergence Analysis of Smooth Q-Learning with p-Norms Unresolved cited work

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T02:18:46.318953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 847b5ecc-aada-4ca9-a4a9-3bfd396e8cfb · outbound

This paper cites In addition, there exists a constant C0 < ∞ such that for any initial θ0 ∈ Rn, we have E[∥εk+1∥2 2|Gk] ≤ C0(1 + ∥θk∥2 2), ∀k ≥ 0 with probability one.

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T02:18:46.323053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation fedb40c7-9b3e-4a52-a6c6-962792dfecda · outbound

This paper cites Lemma 3 ( [38, Robbins and Monro theorem]).

Toward a Unified Lyapunov-Certified ODE Convergence Analysis of Smooth Q-Learning with p-Norms Lemma 3 ( [38, Robbins and Monro theorem])

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T02:18:46.304156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation bf4b9f89-163f-47a2-b39c-5d7cd9189a5d · outbound

This paper cites an unresolved cited work.

Toward a Unified Lyapunov-Certified ODE Convergence Analysis of Smooth Q-Learning with p-Norms Unresolved cited work

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T02:18:46.307533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation bab10916-60a6-4e11-8ef4-d5546f33dcde · outbound

This paper cites an unresolved cited work.

Toward a Unified Lyapunov-Certified ODE Convergence Analysis of Smooth Q-Learning with p-Norms Unresolved cited work

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T02:18:46.211937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 6ab92562-9ef0-4b49-a867-6ad80717bbd4 · outbound

This paper cites an unresolved cited work.

Toward a Unified Lyapunov-Certified ODE Convergence Analysis of Smooth Q-Learning with p-Norms Unresolved cited work

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T02:18:46.219677Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 81f93788-b4a2-4b42-bc07-c7a8f24104bc · outbound

This paper cites an unresolved cited work.

Toward a Unified Lyapunov-Certified ODE Convergence Analysis of Smooth Q-Learning with p-Norms Unresolved cited work

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T02:18:46.235369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 957cb86b-a636-4770-9002-2d478f663253 · outbound

This paper cites an unresolved cited work.

Toward a Unified Lyapunov-Certified ODE Convergence Analysis of Smooth Q-Learning with p-Norms Unresolved cited work

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T02:18:46.359694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation ba9ee95d-defb-4058-8cb7-b920533667ff · outbound

This paper cites an unresolved cited work.

Toward a Unified Lyapunov-Certified ODE Convergence Analysis of Smooth Q-Learning with p-Norms Unresolved cited work

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T02:18:46.199127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 88507e15-fe43-4157-9df0-a16ac61a0deb · outbound

This paper cites an unresolved cited work.

Toward a Unified Lyapunov-Certified ODE Convergence Analysis of Smooth Q-Learning with p-Norms Unresolved cited work

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T02:18:46.203427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation c3e5cecb-3e8e-476f-9c74-c433b45fc8f4 · outbound

This paper cites an unresolved cited work.

Toward a Unified Lyapunov-Certified ODE Convergence Analysis of Smooth Q-Learning with p-Norms Unresolved cited work

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T02:18:46.193553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 1cebaad9-9ca5-4902-849a-8696c85bcc4a · outbound

This paper cites an unresolved cited work.

Toward a Unified Lyapunov-Certified ODE Convergence Analysis of Smooth Q-Learning with p-Norms Unresolved cited work

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T02:18:46.336276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 0d384e2e-326c-4254-8c83-ed913515de1b · outbound

This paper cites an unresolved cited work.

Toward a Unified Lyapunov-Certified ODE Convergence Analysis of Smooth Q-Learning with p-Norms Unresolved cited work

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T02:18:46.189893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation eebe205d-ebd2-4f70-bb88-8a39c3398e8c · outbound

This paper cites Similar to the ODE case, the ﬁrst three rows (max, L SE, and mellowmax) show that the trajectories converge toward their ﬁxe d points as proved in Theorem 5.

Toward a Unified Lyapunov-Certified ODE Convergence Analysis of Smooth Q-Learning with p-Norms Similar to the ODE case, the ﬁrst three rows (max, L SE, and mellowmax) show that the trajectories converge toward their ﬁxe d points as proved in Theorem 5

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T02:18:46.315604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Pith citing papers

Observation eeed0fd3-3546-4dcc-8add-dfbd564138a0 · inbound

Contraction-Aligned Analysis of Soft Bellman Residual Minimization with Weighted Lp-Norm for Markov Decision Problem cites this paper.

Contraction-Aligned Analysis of Soft Bellman Residual Minimization with Weighted Lp-Norm for Markov Decision Problem Toward a Unified Lyapunov-Certified ODE Convergence Analysis of Smooth Q-Learning with p-Norms

Reference 28

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T03:41:43.130250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 624a9226-b504-4f17-9350-74df4165231b · inbound

Safe-Support Q-Learning: Learning without Unsafe Exploration cites this paper.

Safe-Support Q-Learning: Learning without Unsafe Exploration Toward a Unified Lyapunov-Certified ODE Convergence Analysis of Smooth Q-Learning with p-Norms

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-12T03:41:43.130250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.