Paper Citation Record · LEDGER

Overcoming the Machine Penalty with Imperfectly Fair AI Agents

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2410.03724.

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

pith.paper-citation-record.v1
2410.03724 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T22:50:33.263526Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T16:41:06.195040Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation c6a00816-e829-4a55-8d44-f60b5397e79d · inbound

Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontiers cites this paper.

Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontiers Overcoming the Machine Penalty with Imperfectly Fair AI Agents

Reference 167

Resolution: unresolved; no resolver link, observed 2026-08-07T22:50:33.263526Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9367be0a-c0e7-4652-adfc-d574b4c63e41 · inbound

Large Language Models are Near-Optimal Decision-Makers with a Non-Human Learning Behavior cites this paper.

Large Language Models are Near-Optimal Decision-Makers with a Non-Human Learning Behavior Overcoming the Machine Penalty with Imperfectly Fair AI Agents

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T23:49:46.488288Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4c2a3535-e9fc-428c-b5b8-56f17b74df39 · inbound

From Digital Distrust to Codified Honesty: Experimental Evidence on Generative AI in Credence Goods Markets cites this paper.

From Digital Distrust to Codified Honesty: Experimental Evidence on Generative AI in Credence Goods Markets Overcoming the Machine Penalty with Imperfectly Fair AI Agents

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-05T04:34:30.757211Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f7e4595d-d2cd-4094-956d-b2ef5de7a74a · inbound

When Numbers Start Talking: Implicit Numerical Coordination Among LLM-Based Agents cites this paper.

When Numbers Start Talking: Implicit Numerical Coordination Among LLM-Based Agents Overcoming the Machine Penalty with Imperfectly Fair AI Agents

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-05-16T16:41:06.197324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.