Paper Citation Record · LEDGER

Distributed Neural Policy Gradient Algorithm for Global Convergence of Networked Multi-Agent Reinforcement Learning

As of 8 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2505.24113.

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

pith.paper-citation-record.v1
2505.24113 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:44:16.554175Z

measured 31 of 31 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

31 of 31 outbound references displayed

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verified fuzzy29
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f776eeba-bc9d-4697-8e94-9e8b33660b12 · outbound

This paper cites an unresolved cited work.

Distributed Neural Policy Gradient Algorithm for Global Convergence of Networked Multi-Agent Reinforcement Learning Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:44:20.493208Z

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Observation 177ae6f0-28fd-4767-81c8-c2de3da67f73 · outbound

This paper cites Distributed reinforcement learning algorithm for dynamic economic dispatch with unknown generation cost functions,.

Distributed Neural Policy Gradient Algorithm for Global Convergence of Networked Multi-Agent Reinforcement Learning Distributed reinforcement learning algorithm for dynamic economic dispatch with unknown generation cost functions,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:44:20.378440Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9c79187e-5f15-46d6-ae2b-f0c572a8aa00 · outbound

This paper cites Distributed Q-learning algorithm for dynamic resource allocation with unknown objective functions and ap- plication to microgrid,.

Distributed Neural Policy Gradient Algorithm for Global Convergence of Networked Multi-Agent Reinforcement Learning Distributed Q-learning algorithm for dynamic resource allocation with unknown objective functions and ap- plication to microgrid,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:44:20.211528Z

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Observation 124b19d0-8fb3-461e-a3c6-092c2fe33ac4 · outbound

This paper cites Multi-agent deep reinforcement learning for large-scale traffic signal control,.

Distributed Neural Policy Gradient Algorithm for Global Convergence of Networked Multi-Agent Reinforcement Learning Multi-agent deep reinforcement learning for large-scale traffic signal control,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:44:20.130854Z

Source-reported events for the cited work

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Observation 2e346283-6c11-47df-84f6-9088b10b160a · outbound

This paper cites Large-Scale traffic signal control using a novel multiagent reinforcement learning,.

Distributed Neural Policy Gradient Algorithm for Global Convergence of Networked Multi-Agent Reinforcement Learning Large-Scale traffic signal control using a novel multiagent reinforcement learning,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:44:20.011168Z

Source-reported events for the cited work

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Observation 81656743-995e-421b-9623-141de60b2656 · outbound

This paper cites A multi-channel transmission schedule for remote state estimation under DoS attacks,.

Distributed Neural Policy Gradient Algorithm for Global Convergence of Networked Multi-Agent Reinforcement Learning A multi-channel transmission schedule for remote state estimation under DoS attacks,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:44:19.929701Z

Source-reported events for the cited work

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Observation fb7678ca-e2ce-4a61-b5fa-3fa4f5aec444 · outbound

This paper cites Distributed reinforcement learning for cyber-physical system with multiple remote state estimation under DoS attacker,.

Distributed Neural Policy Gradient Algorithm for Global Convergence of Networked Multi-Agent Reinforcement Learning Distributed reinforcement learning for cyber-physical system with multiple remote state estimation under DoS attacker,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:44:19.847843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation acece6bf-4ca5-4592-ab63-789a746ad2c0 · outbound

This paper cites Multi-agent deep reinforcement learning for dynamic power allocation in wireless networks,.

Distributed Neural Policy Gradient Algorithm for Global Convergence of Networked Multi-Agent Reinforcement Learning Multi-agent deep reinforcement learning for dynamic power allocation in wireless networks,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:44:19.775900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4b150f2d-2476-40ad-9c27-d60063479963 · outbound

This paper cites Deep reinforcement learning for user association and resource allocation in heterogeneous cellular networks,.

Distributed Neural Policy Gradient Algorithm for Global Convergence of Networked Multi-Agent Reinforcement Learning Deep reinforcement learning for user association and resource allocation in heterogeneous cellular networks,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:44:19.669977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 63c2aa6c-a616-4b83-8a28-24d140a4c9b4 · outbound

This paper cites Intellilight: A reinforcement learning approach for intelligent traffic light control,.

Distributed Neural Policy Gradient Algorithm for Global Convergence of Networked Multi-Agent Reinforcement Learning Intellilight: A reinforcement learning approach for intelligent traffic light control,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:44:19.568891Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 40a04de8-ddbb-4eda-84ac-7ad3fc482955 · outbound

This paper cites Multi-agent reinforcement learning: Independent vs. coopera- tive agents,.

Distributed Neural Policy Gradient Algorithm for Global Convergence of Networked Multi-Agent Reinforcement Learning Multi-agent reinforcement learning: Independent vs. coopera- tive agents,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:44:19.453484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4b7b1cbf-c919-4ebe-b79d-1eb9ec6c88c9 · outbound

This paper cites Qmix: Monotonic value function factorisation for deep multi-agent reinforcement learning,.

Distributed Neural Policy Gradient Algorithm for Global Convergence of Networked Multi-Agent Reinforcement Learning Qmix: Monotonic value function factorisation for deep multi-agent reinforcement learning,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:44:19.313930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3a4adffe-50e4-426c-bca7-870c67feafc7 · outbound

This paper cites QPLEX: Duplex dueling multi-agent Q-Learning,.

Distributed Neural Policy Gradient Algorithm for Global Convergence of Networked Multi-Agent Reinforcement Learning QPLEX: Duplex dueling multi-agent Q-Learning,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:44:19.226642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 49141aae-5ed1-4523-ace7-eccadf984a04 · outbound

This paper cites Counterfactual multi-agent policy gradients,.

Distributed Neural Policy Gradient Algorithm for Global Convergence of Networked Multi-Agent Reinforcement Learning Counterfactual multi-agent policy gradients,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:44:19.129646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 18c2cc5b-0075-45e4-9a09-ef2c9bdcf37f · outbound

This paper cites Off-Policy Multi-Agent Decomposed Policy Gradients.

Distributed Neural Policy Gradient Algorithm for Global Convergence of Networked Multi-Agent Reinforcement Learning Off-Policy Multi-Agent Decomposed Policy Gradients

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-08-07T12:44:16.742474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation dbe82342-d029-4363-9ff8-28d99790f797 · outbound

This paper cites Fully decentralized multi-agent reinforcement learning with networked agents,.

Distributed Neural Policy Gradient Algorithm for Global Convergence of Networked Multi-Agent Reinforcement Learning Fully decentralized multi-agent reinforcement learning with networked agents,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:44:18.987896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a51f0f31-88cd-4519-a326-0f3338064334 · outbound

This paper cites Distributed actor-critic algorithms for multiagent reinforcement learning over directed graphs,.

Distributed Neural Policy Gradient Algorithm for Global Convergence of Networked Multi-Agent Reinforcement Learning Distributed actor-critic algorithms for multiagent reinforcement learning over directed graphs,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:44:18.891237Z

Source-reported events for the cited work

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Observation 2b2ccda6-253a-484b-9872-73a39ac75c81 · outbound

This paper cites Neural policy gradient methods: Global optimality and rates of convergence,.

Distributed Neural Policy Gradient Algorithm for Global Convergence of Networked Multi-Agent Reinforcement Learning Neural policy gradient methods: Global optimality and rates of convergence,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:44:18.741499Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 14762a8d-a7ae-406e-aa1c-8f7276f78ecb · outbound

This paper cites Finite-time analysis of dis- tributed TD(0) with linear function approximation on multi-agent rein- forcement learning,.

Distributed Neural Policy Gradient Algorithm for Global Convergence of Networked Multi-Agent Reinforcement Learning Finite-time analysis of dis- tributed TD(0) with linear function approximation on multi-agent rein- forcement learning,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:44:18.588242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f8e6f3e1-7422-4203-a594-0b1abf1f6707 · outbound

This paper cites A communication-efficient multi-agent actor-critic algorithm for distributed reinforcement learning,.

Distributed Neural Policy Gradient Algorithm for Global Convergence of Networked Multi-Agent Reinforcement Learning A communication-efficient multi-agent actor-critic algorithm for distributed reinforcement learning,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:44:18.463063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5f077a0c-e574-4603-a906-f1c42d31a642 · outbound

This paper cites A multiagent off-policy actor-critic algorithm for distributed reinforcement learning,.

Distributed Neural Policy Gradient Algorithm for Global Convergence of Networked Multi-Agent Reinforcement Learning A multiagent off-policy actor-critic algorithm for distributed reinforcement learning,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:44:18.322608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 80511adf-5798-4cfd-8e50-0e2403b88c5e · outbound

This paper cites Policy gra- dient methods for reinforcement learning with function approximation,.

Distributed Neural Policy Gradient Algorithm for Global Convergence of Networked Multi-Agent Reinforcement Learning Policy gra- dient methods for reinforcement learning with function approximation,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:44:18.165247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation eff02bf0-e670-4cf1-ae71-ba760acbbc3b · outbound

This paper cites Neural temporal-difference learning converges to global optima,.

Distributed Neural Policy Gradient Algorithm for Global Convergence of Networked Multi-Agent Reinforcement Learning Neural temporal-difference learning converges to global optima,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:44:17.994767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b2f0bb85-2e08-4b71-89de-54d91f7940a2 · outbound

This paper cites Natural actor-critic,.

Distributed Neural Policy Gradient Algorithm for Global Convergence of Networked Multi-Agent Reinforcement Learning Natural actor-critic,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:44:17.821569Z

Source-reported events for the cited work

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Observation ec6a4d39-bfd7-4793-bcd6-f1b2351f9fd3 · outbound

This paper cites Optimistic policy iteration and natural actor-critic: A unify- ing view and a non-optimality result,.

Distributed Neural Policy Gradient Algorithm for Global Convergence of Networked Multi-Agent Reinforcement Learning Optimistic policy iteration and natural actor-critic: A unify- ing view and a non-optimality result,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:44:17.681836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 467a7164-fef9-4ed9-874a-e1682bbbfa63 · outbound

This paper cites Improving sample complexity bounds for (natural) actor-critic algorithms,.

Distributed Neural Policy Gradient Algorithm for Global Convergence of Networked Multi-Agent Reinforcement Learning Improving sample complexity bounds for (natural) actor-critic algorithms,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:44:17.561850Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation db101711-24e5-44fb-8a98-339b9e8d1085 · outbound

This paper cites Constrained consensus and optimization in multi-agent networks,.

Distributed Neural Policy Gradient Algorithm for Global Convergence of Networked Multi-Agent Reinforcement Learning Constrained consensus and optimization in multi-agent networks,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:44:17.427028Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 24c32f37-cd00-40fc-8a47-2b49654536d6 · outbound

This paper cites Nesterov,Introductory Lectures on Convex Optimization, Berlin, Germany: Springer, 2018.

Distributed Neural Policy Gradient Algorithm for Global Convergence of Networked Multi-Agent Reinforcement Learning Nesterov,Introductory Lectures on Convex Optimization, Berlin, Germany: Springer, 2018

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:44:17.313555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5a74724f-e082-4d5f-99b7-ff7ba56f5a29 · outbound

This paper cites Convergence rates for localized actor-critic in networked markov potential games,.

Distributed Neural Policy Gradient Algorithm for Global Convergence of Networked Multi-Agent Reinforcement Learning Convergence rates for localized actor-critic in networked markov potential games,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:44:17.152379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f465733a-fdb1-400c-89b7-bcc2b5e76e93 · outbound

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

Distributed Neural Policy Gradient Algorithm for Global Convergence of Networked Multi-Agent Reinforcement Learning On the global convergence rates of softmax policy gradient methods,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:44:17.051872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d00548e1-bb19-448e-9d0a-4fe31563daf8 · outbound

This paper cites Network topology and communication-computation tradeoffs in decentralized optimization,.

Distributed Neural Policy Gradient Algorithm for Global Convergence of Networked Multi-Agent Reinforcement Learning Network topology and communication-computation tradeoffs in decentralized optimization,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:44:16.904570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Pith citing papers

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