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Paper Citation Record · LEDGER

Large Language Models are Biased Reinforcement Learners

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2405.11422.

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

pith.paper-citation-record.v1
2405.11422 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:55:43.601392Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T20:57:23.624827Z

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 5659372e-2c6b-4997-990c-864df622c91e · inbound

Beyond Nash Equilibrium: Bounded Rationality of LLMs and humans in Strategic Decision-making cites this paper.

Beyond Nash Equilibrium: Bounded Rationality of LLMs and humans in Strategic Decision-making Large Language Models are Biased Reinforcement Learners

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-07T04:55:43.601392Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:55:43.601392Z digest=sha256:1efb9a598a11c53dc5190507830ca269af329f676a2ff3b6399a66a6115067bd

Observation 57b0239b-03b2-4b29-998f-a88b45122f48 · inbound

PAFO: Pareto Fairness Optimization for Personalized Reward Modeling cites this paper.

PAFO: Pareto Fairness Optimization for Personalized Reward Modeling Large Language Models are Biased Reinforcement Learners

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-07-02T20:57:23.626286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-27T20:00:05.900814Z digest=sha256:0870cf7540769455cdc53bd6b2e18d293bd2331d33e5a249b65ad0465e1e89c7