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Paper Citation Record · LEDGER

Overcoming the Machine Penalty with Imperfectly Fair AI Agents

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 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 3 of 3 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:49:46.488288Z

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 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.

source=pdf_text observed=2026-08-06T23:49:46.488288Z digest=sha256:cb914a7111b054fdab8b64cf355a87ac91e7ca8831a5b1c9a45beccb277695c0

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.

source=pdf_text observed=2026-08-05T04:34:30.757211Z digest=sha256:8320866e0da74528b1f864f9bd1a02d2ce10108cc0635e82354c954cc5cec53c

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-16T16:39:34.129361Z digest=sha256:d035eff284323aacc234e542c60ee8427c2c9a66a60a33f3a4f7f517f81d8969