Paper Citation Record · LEDGER

Reinforcement Learning for Game-Theoretic Resource Allocation on Graphs

As of 19 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:2505.06319.

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

pith.paper-citation-record.v1
2505.06319 v1

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:08:08.171638Z

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

39 of 39 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8078cd8b-08cc-44a7-9467-8884261c3028 · outbound

This paper cites To compute or not to compute? adaptive smart sensing in resource-constrained edge computing,.

Reinforcement Learning for Game-Theoretic Resource Allocation on Graphs To compute or not to compute? adaptive smart sensing in resource-constrained edge computing,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:08:08.674467Z

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Observation 939c7a0f-ec29-480b-9094-e18c48269276 · outbound

This paper cites Energy-efficient industrial internet of things in green 6g networks,.

Reinforcement Learning for Game-Theoretic Resource Allocation on Graphs Energy-efficient industrial internet of things in green 6g networks,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:08:08.664296Z

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Observation 92e02646-5344-4a42-8e83-22b0be4081f5 · outbound

This paper cites Cooperative air and ground surveillance,.

Reinforcement Learning for Game-Theoretic Resource Allocation on Graphs Cooperative air and ground surveillance,

Reference 3

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Observation 897b99e2-0e79-4175-aa7e-4e233672cc3a · outbound

This paper cites Planning for opportunistic surveil- lance with multiple robots,.

Reinforcement Learning for Game-Theoretic Resource Allocation on Graphs Planning for opportunistic surveil- lance with multiple robots,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:08:08.643254Z

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Observation 6f7d76b4-4bf8-4932-82db-bb58bca6678e · outbound

This paper cites Failure-Resilient Coverage Maximization with Multiple Robots.

Reinforcement Learning for Game-Theoretic Resource Allocation on Graphs Failure-Resilient Coverage Maximization with Multiple Robots

Reference 5

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Observation 93f08083-574f-446c-9c40-e8518394f866 · outbound

This paper cites Game tree search for minimizing detectability and maximizing visibility,.

Reinforcement Learning for Game-Theoretic Resource Allocation on Graphs Game tree search for minimizing detectability and maximizing visibility,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:08:08.633842Z

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Observation 6f4b1447-15ae-44b3-aa00-aa8ac68b5b1f · outbound

This paper cites Stackelberg game approaches for anti-jamming defence in wireless networks,.

Reinforcement Learning for Game-Theoretic Resource Allocation on Graphs Stackelberg game approaches for anti-jamming defence in wireless networks,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:08:08.623534Z

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Observation 80ed427f-98d2-4f22-b9ff-7f5cdc4c11c6 · outbound

This paper cites Jamming Intrusions in Extreme Bandwidth Communication: A Comprehensive Overview.

Reinforcement Learning for Game-Theoretic Resource Allocation on Graphs Jamming Intrusions in Extreme Bandwidth Communication: A Comprehensive Overview

Reference 8

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Observation d704a264-0bf7-40eb-9a90-4f1a5d858e2b · outbound

This paper cites Equilibrium approximating and online learning for anti-jamming game of satellite communication power allocation,.

Reinforcement Learning for Game-Theoretic Resource Allocation on Graphs Equilibrium approximating and online learning for anti-jamming game of satellite communication power allocation,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:08:08.612875Z

Source-reported events for the cited work

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Observation fb770bfb-672e-494b-b57b-0865c3741079 · outbound

This paper cites An Efficient Security Mechanism for High-Integrity Wireless Sensor Networks.

Reinforcement Learning for Game-Theoretic Resource Allocation on Graphs An Efficient Security Mechanism for High-Integrity Wireless Sensor Networks

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-08-15T23:08:08.347710Z

Source-reported events for the cited work

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Observation 8f9fd8c4-2f55-4f66-b725-05e9026881fd · outbound

This paper cites Cyber Network Resilience against Self-Propagating Malware Attacks.

Reinforcement Learning for Game-Theoretic Resource Allocation on Graphs Cyber Network Resilience against Self-Propagating Malware Attacks

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-08-15T23:08:08.332156Z

Source-reported events for the cited work

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Observation 44f94000-91df-4697-a9ec-f1cc64622b34 · outbound

This paper cites Hibid: A cross-channel constrained bidding system with budget allocation by hierarchical offline deep reinforcement learning,.

Reinforcement Learning for Game-Theoretic Resource Allocation on Graphs Hibid: A cross-channel constrained bidding system with budget allocation by hierarchical offline deep reinforcement learning,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:08:08.590537Z

Source-reported events for the cited work

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Observation a1da3851-32a0-49b4-bb08-36ee46e17f8c · outbound

This paper cites Fairness-aware competitive bidding influence maximization in social networks,.

Reinforcement Learning for Game-Theoretic Resource Allocation on Graphs Fairness-aware competitive bidding influence maximization in social networks,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:08:08.578748Z

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Observation 90a71a41-534b-4833-80cb-ee7bbaec63ee · outbound

This paper cites La th ´eorie du jeu et les ´equations int ´egralesa noyau sym´etrique,.

Reinforcement Learning for Game-Theoretic Resource Allocation on Graphs La th ´eorie du jeu et les ´equations int ´egralesa noyau sym´etrique,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:08:08.556110Z

Source-reported events for the cited work

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Observation fbab8c00-e0fc-4c8f-9294-a87a8c5e5e58 · outbound

This paper cites The theory of play and integral equations with skew symmetric kernels,.

Reinforcement Learning for Game-Theoretic Resource Allocation on Graphs The theory of play and integral equations with skew symmetric kernels,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:08:08.544859Z

Source-reported events for the cited work

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Observation 0269ea6b-466e-4bb0-b28e-678193f096b9 · outbound

This paper cites Dynamic defender- attacker blotto game,.

Reinforcement Learning for Game-Theoretic Resource Allocation on Graphs Dynamic defender- attacker blotto game,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:08:08.534308Z

Source-reported events for the cited work

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Observation 3e290042-4f67-4125-9df8-db2cbb355d4d · outbound

This paper cites Double oracle algorithm for game-theoretic robot allocation on graphs,.

Reinforcement Learning for Game-Theoretic Resource Allocation on Graphs Double oracle algorithm for game-theoretic robot allocation on graphs,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:08:08.521935Z

Source-reported events for the cited work

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Observation 4ffe2c2f-8c31-4c60-8ff6-4988ede3d50a · outbound

This paper cites Mastering atari, go, chess and shogi by planning with a learned model,.

Reinforcement Learning for Game-Theoretic Resource Allocation on Graphs Mastering atari, go, chess and shogi by planning with a learned model,

Reference 18

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This paper cites Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm.

Reinforcement Learning for Game-Theoretic Resource Allocation on Graphs Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm

Reference 19

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This paper cites A general reinforcement learning algorithm that masters chess, shogi, and go through self-play,.

Reinforcement Learning for Game-Theoretic Resource Allocation on Graphs A general reinforcement learning algorithm that masters chess, shogi, and go through self-play,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:08:08.504809Z

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Observation e67b1dd5-1492-4b3c-a99a-8347a9f43a4c · outbound

This paper cites Giraffe: Using Deep Reinforcement Learning to Play Chess.

Reinforcement Learning for Game-Theoretic Resource Allocation on Graphs Giraffe: Using Deep Reinforcement Learning to Play Chess

Reference 21

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This paper cites A game theory–reinforcement learning (gt–rl) method to develop optimal operation policies for multi-operator reservoir systems,.

Reinforcement Learning for Game-Theoretic Resource Allocation on Graphs A game theory–reinforcement learning (gt–rl) method to develop optimal operation policies for multi-operator reservoir systems,

Reference 22

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Source-reported events for the cited work

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Observation 81e7a3ec-b841-4f19-9685-5efb691043d9 · outbound

This paper cites Applying reinforcement learning to small scale combat in the real-time strategy game starcraft: Broodwar,.

Reinforcement Learning for Game-Theoretic Resource Allocation on Graphs Applying reinforcement learning to small scale combat in the real-time strategy game starcraft: Broodwar,

Reference 23

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Observation 53875c94-760e-4ace-a62f-7c26bf90d8f2 · outbound

This paper cites Towards playing full moba games with deep reinforcement learning,.

Reinforcement Learning for Game-Theoretic Resource Allocation on Graphs Towards playing full moba games with deep reinforcement learning,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:08:08.473868Z

Source-reported events for the cited work

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Observation f355b079-dd60-4acd-be8e-c52b7d4e9edb · outbound

This paper cites Deep reinforcement learning based resource allocation for v2v communications,.

Reinforcement Learning for Game-Theoretic Resource Allocation on Graphs Deep reinforcement learning based resource allocation for v2v communications,

Reference 25

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Observation ff870b95-f205-4027-970f-fd5569c5cd51 · outbound

This paper cites Multi-agent reinforcement learning- based resource allocation for uav networks,.

Reinforcement Learning for Game-Theoretic Resource Allocation on Graphs Multi-agent reinforcement learning- based resource allocation for uav networks,

Reference 26

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Observation 6db803ae-ab35-4a7b-a46c-0d9a105497de · outbound

This paper cites Dynamical resource allocation in edge for trustable internet-of-things systems: A reinforcement learning method,.

Reinforcement Learning for Game-Theoretic Resource Allocation on Graphs Dynamical resource allocation in edge for trustable internet-of-things systems: A reinforcement learning method,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:08:08.446406Z

Source-reported events for the cited work

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Observation 0a9a8c3c-cab8-4576-842b-aa2f2f5ec857 · outbound

This paper cites Reinforcement Learning Agents in Colonel Blotto.

Reinforcement Learning for Game-Theoretic Resource Allocation on Graphs Reinforcement Learning Agents in Colonel Blotto

Reference 28

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Reinforcement Learning for Game-Theoretic Resource Allocation on Graphs Human-level control through deep reinforcement learning,

Reference 29

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This paper cites Proximal Policy Optimization Algorithms.

Reinforcement Learning for Game-Theoretic Resource Allocation on Graphs Proximal Policy Optimization Algorithms

Reference 30

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Reinforcement Learning for Game-Theoretic Resource Allocation on Graphs Adaptiveε-greedy exploration in reinforcement learning based on value differences,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:08:08.429305Z

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Observation 52cff6be-cdf6-43d5-9918-c3f4c6a2182d · outbound

This paper cites Pettingzoo: Gym for multi-agent reinforcement learning,.

Reinforcement Learning for Game-Theoretic Resource Allocation on Graphs Pettingzoo: Gym for multi-agent reinforcement learning,

Reference 32

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This paper cites Tianshou: A highly modularized deep reinforcement learning library,.

Reinforcement Learning for Game-Theoretic Resource Allocation on Graphs Tianshou: A highly modularized deep reinforcement learning library,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:08:08.411755Z

Source-reported events for the cited work

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Reinforcement Learning for Game-Theoretic Resource Allocation on Graphs Deep reinforcement learning with double q-learning,

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Reinforcement Learning for Game-Theoretic Resource Allocation on Graphs Dueling network architectures for deep reinforcement learning,

Reference 35

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This paper cites Prioritized Experience Replay.

Reinforcement Learning for Game-Theoretic Resource Allocation on Graphs Prioritized Experience Replay

Reference 36

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This paper cites A novel ddpg method with prioritized experience replay,.

Reinforcement Learning for Game-Theoretic Resource Allocation on Graphs A novel ddpg method with prioritized experience replay,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:08:08.388455Z

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Observation d6515bbe-c9aa-47cc-90b1-1b5db21f028a · outbound

This paper cites Available: https://api.semanticscholar.org/CorpusId: 250089045.

Reinforcement Learning for Game-Theoretic Resource Allocation on Graphs Available: https://api.semanticscholar.org/CorpusId: 250089045

Reference 2022

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:08:08.601483Z

Source-reported events for the cited work

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Observation 635f8787-57cd-45b5-9530-6505252b6d04 · outbound

This paper cites Available: https://api.semanticscholar.org/CorpusId: 259539732.

Reinforcement Learning for Game-Theoretic Resource Allocation on Graphs Available: https://api.semanticscholar.org/CorpusId: 259539732

Reference 2023

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:08:08.566601Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Pith citing papers

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