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Paper Citation Record · LEDGER

Scalable Fairness Shaping with LLM-Guided Multi-Agent Reinforcement Learning for Peer-to-Peer Electricity Markets

As of 21 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:2508.18610.

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

pith.paper-citation-record.v1
2508.18610 v1

Coverage vector

measured 35 of 35 reference resolution

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measured 35 of 35 standing notices

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Source: cited_works

Reference resolution

35 of 35 outbound references displayed

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Outbound references

Observation a1ccb0fa-313c-4560-bab7-dbb515f52a75 · outbound

This paper cites Peer -to-peer energy systems for connected communities: A review of recent advances and emerging challenges,.

Scalable Fairness Shaping with LLM-Guided Multi-Agent Reinforcement Learning for Peer-to-Peer Electricity Markets Peer -to-peer energy systems for connected communities: A review of recent advances and emerging challenges,

Reference 5

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Observation 204935dc-1f74-49c8-8eb5-340898594380 · outbound

This paper cites Hierarchical Hybrid Multi -Agent Deep Reinforcement Learning for Peer -to-Peer Energy Trading Among Multiple Heterogeneous Microgrids,.

Scalable Fairness Shaping with LLM-Guided Multi-Agent Reinforcement Learning for Peer-to-Peer Electricity Markets Hierarchical Hybrid Multi -Agent Deep Reinforcement Learning for Peer -to-Peer Energy Trading Among Multiple Heterogeneous Microgrids,

Reference 7

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Observation 54abf9cd-01b5-4218-bb96-05a252d680f0 · outbound

This paper cites A dynamic internal trading price strategy for networked microgrids: A deep reinforcement learning-based game-theoretic approach,.

Scalable Fairness Shaping with LLM-Guided Multi-Agent Reinforcement Learning for Peer-to-Peer Electricity Markets A dynamic internal trading price strategy for networked microgrids: A deep reinforcement learning-based game-theoretic approach,

Reference 8

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Observation 56bd2882-ae5b-40cb-abb6-b5d2063d58c2 · outbound

This paper cites A deep reinforcement learning -based bidding strategy for participants in a peer-to-peer energy trading scenario,.

Scalable Fairness Shaping with LLM-Guided Multi-Agent Reinforcement Learning for Peer-to-Peer Electricity Markets A deep reinforcement learning -based bidding strategy for participants in a peer-to-peer energy trading scenario,

Reference 9

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Observation 0a21755a-9454-48f6-a267-7c6ad3009da7 · outbound

This paper cites Federated reinforcement learning for smart building joint peer-to-peer energy and carbon allowance trading,.

Scalable Fairness Shaping with LLM-Guided Multi-Agent Reinforcement Learning for Peer-to-Peer Electricity Markets Federated reinforcement learning for smart building joint peer-to-peer energy and carbon allowance trading,

Reference 10

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Observation 7cf12dec-347f-4ba6-8d00-5a7bcec03f77 · outbound

This paper cites A critical review of safe reinforcement learning strategies in power and energy systems,.

Scalable Fairness Shaping with LLM-Guided Multi-Agent Reinforcement Learning for Peer-to-Peer Electricity Markets A critical review of safe reinforcement learning strategies in power and energy systems,

Reference 11

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Observation 20a256e2-290e-41d6-aec1-e3be9744f1da · outbound

This paper cites Market Mechanisms for Local Electricity Markets: A review of models, solution concepts and algorithmic techniques,.

Scalable Fairness Shaping with LLM-Guided Multi-Agent Reinforcement Learning for Peer-to-Peer Electricity Markets Market Mechanisms for Local Electricity Markets: A review of models, solution concepts and algorithmic techniques,

Reference 12

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Observation edaba129-e507-4096-a910-a5b0cfcc9523 · outbound

This paper cites Designing microgrid energy markets: A case study: The Brooklyn Microgrid,.

Scalable Fairness Shaping with LLM-Guided Multi-Agent Reinforcement Learning for Peer-to-Peer Electricity Markets Designing microgrid energy markets: A case study: The Brooklyn Microgrid,

Reference 13

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Observation 2d6824a8-69dd-4d58-a2af-b3798f85ebd7 · outbound

This paper cites Peer-to-Peer Energy Trading of Solar and Energy Storage: A Networked Multiagent Reinforcement Learning Approach.

Scalable Fairness Shaping with LLM-Guided Multi-Agent Reinforcement Learning for Peer-to-Peer Electricity Markets Peer-to-Peer Energy Trading of Solar and Energy Storage: A Networked Multiagent Reinforcement Learning Approach

Reference 14

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Observation 3b8f72a1-f403-4b0c-b4f1-ef1b23856cef · outbound

This paper cites Comparative analysis of auction mechanisms and bidding strategies for peer-to-peer solar transactive energy markets,.

Scalable Fairness Shaping with LLM-Guided Multi-Agent Reinforcement Learning for Peer-to-Peer Electricity Markets Comparative analysis of auction mechanisms and bidding strategies for peer-to-peer solar transactive energy markets,

Reference 15

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Observation 067d4c9e-6ae6-44e1-a74c-cd328a58ab68 · outbound

This paper cites Framework design and optimal bidding strategy for ancillary service provision from a peer -to-peer energy trading community,.

Scalable Fairness Shaping with LLM-Guided Multi-Agent Reinforcement Learning for Peer-to-Peer Electricity Markets Framework design and optimal bidding strategy for ancillary service provision from a peer -to-peer energy trading community,

Reference 16

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Observation c874e32c-d086-4516-b8b4-488efb1f32b7 · outbound

This paper cites Energy Peer -to-Peer Trading in Virtual Microgrids in Smart Grids: A Game-Theoretic Approach,.

Scalable Fairness Shaping with LLM-Guided Multi-Agent Reinforcement Learning for Peer-to-Peer Electricity Markets Energy Peer -to-Peer Trading in Virtual Microgrids in Smart Grids: A Game-Theoretic Approach,

Reference 17

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Observation 439893d6-f143-4540-9d33-5d066e142fc8 · outbound

This paper cites State-of-the-Art Analysis and Perspectives for Peer- to-Peer Energy Trading,.

Scalable Fairness Shaping with LLM-Guided Multi-Agent Reinforcement Learning for Peer-to-Peer Electricity Markets State-of-the-Art Analysis and Perspectives for Peer- to-Peer Energy Trading,

Reference 18

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Observation e248fd11-a531-4eb6-ad3b-f818505427a5 · outbound

This paper cites Reinforcement Learning Enabled Peer -to-Peer Energy Trading for Dairy Farms,.

Scalable Fairness Shaping with LLM-Guided Multi-Agent Reinforcement Learning for Peer-to-Peer Electricity Markets Reinforcement Learning Enabled Peer -to-Peer Energy Trading for Dairy Farms,

Reference 20

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Observation 157ee8e7-cae2-46be-874f-1fde53dcb595 · outbound

This paper cites Designing fairness in autonomous peer -to-peer energy trading,.

Scalable Fairness Shaping with LLM-Guided Multi-Agent Reinforcement Learning for Peer-to-Peer Electricity Markets Designing fairness in autonomous peer -to-peer energy trading,

Reference 21

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Observation f7e369af-19ac-4fa4-8412-e9ec40c27a61 · outbound

This paper cites Distributionally Fair Peer-to-Peer Electricity Trading.

Scalable Fairness Shaping with LLM-Guided Multi-Agent Reinforcement Learning for Peer-to-Peer Electricity Markets Distributionally Fair Peer-to-Peer Electricity Trading

Reference 22

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Observation f126901f-3e78-441a-b1d0-3353687ef935 · outbound

This paper cites A Peer -to-Peer Energy Trading Model for Optimizing Both Efficiency and Fairness,.

Scalable Fairness Shaping with LLM-Guided Multi-Agent Reinforcement Learning for Peer-to-Peer Electricity Markets A Peer -to-Peer Energy Trading Model for Optimizing Both Efficiency and Fairness,

Reference 23

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Observation a3a3bd13-86ef-4648-b0f5-70dc40e089a2 · outbound

This paper cites Federated Reinforcement Learning for Energy Management of Multiple Smart Homes With Distributed Energy Resources,.

Scalable Fairness Shaping with LLM-Guided Multi-Agent Reinforcement Learning for Peer-to-Peer Electricity Markets Federated Reinforcement Learning for Energy Management of Multiple Smart Homes With Distributed Energy Resources,

Reference 24

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Observation f8929653-e290-42a6-b999-8b4553767e40 · outbound

This paper cites Multi-Residential Energy Scheduling Under Time-of-Use and Demand Charge Tariffs With Federated Reinforcement Learning,.

Scalable Fairness Shaping with LLM-Guided Multi-Agent Reinforcement Learning for Peer-to-Peer Electricity Markets Multi-Residential Energy Scheduling Under Time-of-Use and Demand Charge Tariffs With Federated Reinforcement Learning,

Reference 25

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Observation 272a95fe-34c0-4275-b1a4-4981f42d6979 · outbound

This paper cites Multi-agent reinforcement learning for optimal energy trading and scheduling in integrated electricity and heating networks,.

Scalable Fairness Shaping with LLM-Guided Multi-Agent Reinforcement Learning for Peer-to-Peer Electricity Markets Multi-agent reinforcement learning for optimal energy trading and scheduling in integrated electricity and heating networks,

Reference 26

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Observation 77bbd8c8-62b7-4562-b082-99eda8c2afba · outbound

This paper cites Equity -aware peer -to-peer trading with constrained Markov games,.

Scalable Fairness Shaping with LLM-Guided Multi-Agent Reinforcement Learning for Peer-to-Peer Electricity Markets Equity -aware peer -to-peer trading with constrained Markov games,

Reference 27

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Observation fedc67d2-0ac1-4a25-9d87-6bd305c17679 · outbound

This paper cites Jadhav, B.

Scalable Fairness Shaping with LLM-Guided Multi-Agent Reinforcement Learning for Peer-to-Peer Electricity Markets Jadhav, B

Reference 28

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This paper cites Electricity market design for the prosumer era,.

Scalable Fairness Shaping with LLM-Guided Multi-Agent Reinforcement Learning for Peer-to-Peer Electricity Markets Electricity market design for the prosumer era,

Reference 29

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Observation 370dd987-9443-48d2-9d4c-f137bae3a85a · outbound

This paper cites Peer -to-peer and community-based markets: A comprehensive review,.

Scalable Fairness Shaping with LLM-Guided Multi-Agent Reinforcement Learning for Peer-to-Peer Electricity Markets Peer -to-peer and community-based markets: A comprehensive review,

Reference 30

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This paper cites Peer-to-peer energy trading: A review of the literature,.

Scalable Fairness Shaping with LLM-Guided Multi-Agent Reinforcement Learning for Peer-to-Peer Electricity Markets Peer-to-peer energy trading: A review of the literature,

Reference 31

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This paper cites Using peer-to-peer energy-trading platforms to incentivize prosumers to form federated power plants,.

Scalable Fairness Shaping with LLM-Guided Multi-Agent Reinforcement Learning for Peer-to-Peer Electricity Markets Using peer-to-peer energy-trading platforms to incentivize prosumers to form federated power plants,

Reference 32

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Observation f72cb1ad-c894-4d82-b571-dd761d39cff8 · outbound

This paper cites Federated reinforcement learning for decentralized peer-to-peer energy trading,.

Scalable Fairness Shaping with LLM-Guided Multi-Agent Reinforcement Learning for Peer-to-Peer Electricity Markets Federated reinforcement learning for decentralized peer-to-peer energy trading,

Reference 33

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Observation 33285091-e77e-4628-a635-d5e1771892f6 · outbound

This paper cites Multi -Agent Reinforcement Learning for Automated Peer-to-Peer Energy Trading in Double-Side Auction Market,.

Scalable Fairness Shaping with LLM-Guided Multi-Agent Reinforcement Learning for Peer-to-Peer Electricity Markets Multi -Agent Reinforcement Learning for Automated Peer-to-Peer Energy Trading in Double-Side Auction Market,

Reference 34

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Observation 965dfb19-bdfb-4f6a-ade6-147358f4dd1c · outbound

This paper cites Probabilistic forecasting of photovoltaic generation: An efficient statistical approach,.

Scalable Fairness Shaping with LLM-Guided Multi-Agent Reinforcement Learning for Peer-to-Peer Electricity Markets Probabilistic forecasting of photovoltaic generation: An efficient statistical approach,

Reference 35

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Observation c32b76a5-4e11-45fa-a18b-bb7f0a71d5ad · outbound

This paper cites Forecasting spot electricity prices: Deep learning approaches and empirical comparison of traditional algorithms,.

Scalable Fairness Shaping with LLM-Guided Multi-Agent Reinforcement Learning for Peer-to-Peer Electricity Markets Forecasting spot electricity prices: Deep learning approaches and empirical comparison of traditional algorithms,

Reference 36

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Observation df20218f-b1a7-4b16-bded-b95c08c666a5 · outbound

This paper cites A game -theoretic approach to energy trading in the smart grid,.

Scalable Fairness Shaping with LLM-Guided Multi-Agent Reinforcement Learning for Peer-to-Peer Electricity Markets A game -theoretic approach to energy trading in the smart grid,

Reference 37

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Observation a6f00c01-1edf-449c-aa84-b117028c9718 · outbound

This paper cites Overview of current development in electrical energy storage technologies and the application potential in power system operation,.

Scalable Fairness Shaping with LLM-Guided Multi-Agent Reinforcement Learning for Peer-to-Peer Electricity Markets Overview of current development in electrical energy storage technologies and the application potential in power system operation,

Reference 38

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Observation 17774f85-89e2-4776-847f-15f575d364c8 · outbound

This paper cites Peer -to-peer electricity market analysis: From variational to generalized Nash equilibrium,.

Scalable Fairness Shaping with LLM-Guided Multi-Agent Reinforcement Learning for Peer-to-Peer Electricity Markets Peer -to-peer electricity market analysis: From variational to generalized Nash equilibrium,

Reference 39

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doi, observed 2026-08-15T17:00:37.210177Z

Source-reported events for the cited work

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Observation bef992c7-2a9d-4b3d-9b3f-6e7261fe1d74 · outbound

This paper cites Proximal Policy Optimization Algorithms.

Scalable Fairness Shaping with LLM-Guided Multi-Agent Reinforcement Learning for Peer-to-Peer Electricity Markets Proximal Policy Optimization Algorithms

Reference 40

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Observation a18736ef-15c6-4a7f-9f75-0769bab83859 · outbound

This paper cites Trading strategy optimization for a prosumer in continuous double auction-based peer-to-peer market: A prediction-integration model,.

Scalable Fairness Shaping with LLM-Guided Multi-Agent Reinforcement Learning for Peer-to-Peer Electricity Markets Trading strategy optimization for a prosumer in continuous double auction-based peer-to-peer market: A prediction-integration model,

Reference 41

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doi, observed 2026-08-15T17:00:37.182803Z

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Pith citing papers

No inbound Pith citation observations are available.