Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T22:04:47.341997Z
Paper Citation Record · LEDGER
FairMarket-RL: LLM-Guided Fairness Shaping for Multi-Agent Reinforcement Learning in Peer-to-Peer Markets
As of 21 August 2026, this Paper Citation Record lists 4 of 4 outbound references and 0 inbound Pith citation observations for arXiv:2506.22708.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
4 of 4 outbound references displayed
- verified exact1
- verified fuzzy0
- unresolved1
- parse uncertain0
- malformed identifier0
- metadata mismatch2
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 0ba51b28-54b7-40e0-ad3d-8b12aaf0d5c6 · outbound
This paper cites Reinforcement Learning Enabled Peer -to-Peer Energy Trading for Dairy Farms,.
FairMarket-RL: LLM-Guided Fairness Shaping for Multi-Agent Reinforcement Learning in Peer-to-Peer Markets Reinforcement Learning Enabled Peer -to-Peer Energy Trading for Dairy Farms,
Reference 1
- Resolution
- verified exact
- doi, observed 2026-08-06T22:04:47.987521Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation c34230d0-d236-4296-acc9-e267e3f48b49 · outbound
This paper cites Constitutional AI: Harmlessness from AI Feedback.
FairMarket-RL: LLM-Guided Fairness Shaping for Multi-Agent Reinforcement Learning in Peer-to-Peer Markets Constitutional AI: Harmlessness from AI Feedback
Reference 2020
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T22:04:47.341997Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bcc2c05b-49dc-4cf3-830a-24a4febedbbd · outbound
This paper cites Dynamics of quantum Fisher information in the two-qubit systems constructed from the Yang-Baxter matrices.
FairMarket-RL: LLM-Guided Fairness Shaping for Multi-Agent Reinforcement Learning in Peer-to-Peer Markets Dynamics of quantum Fisher information in the two-qubit systems constructed from the Yang-Baxter matrices
Reference 2021
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-06T22:04:47.597026Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation a7a1f315-d214-4eee-bca1-f468839f8770 · outbound
This paper cites Transforming energy networks via peer-to-peer energy trading: The potential of game -theoretic approaches,.
FairMarket-RL: LLM-Guided Fairness Shaping for Multi-Agent Reinforcement Learning in Peer-to-Peer Markets Transforming energy networks via peer-to-peer energy trading: The potential of game -theoretic approaches,
Reference 2023
- Resolution
- metadata mismatch
- raw_fallback, observed 2026-08-06T22:04:47.853140Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Pith citing papers
No inbound Pith citation observations are available.