Paper Citation Record · LEDGER

Enough Coin Flips Can Make LLMs Act Bayesian

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2503.04722.

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

pith.paper-citation-record.v1
2503.04722 v2

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 2026-08-06T06:34:29.942622+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-19T10:34:40.987583Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T10:37:15.060011Z

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 5420a5ca-f6fe-4df9-924b-0ecbac76ac85 · inbound

Pre-trained Large Language Models Learn Hidden Markov Models In-context cites this paper.

Pre-trained Large Language Models Learn Hidden Markov Models In-context Enough Coin Flips Can Make LLMs Act Bayesian

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-19T10:37:15.062115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 27180107-20d3-4c33-8bee-adafc228e25a · inbound

Flipping Against All Odds: Reducing LLM Coin Flip Bias via Verbalized Rejection Sampling cites this paper.

Flipping Against All Odds: Reducing LLM Coin Flip Bias via Verbalized Rejection Sampling Enough Coin Flips Can Make LLMs Act Bayesian

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-19T09:27:14.852203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 5e7d8908-44c4-4256-90b3-3fc6443b155d · inbound

Beyond Facts: Benchmarking Distributional Reading Comprehension in Large Language Models cites this paper.

Beyond Facts: Benchmarking Distributional Reading Comprehension in Large Language Models Enough Coin Flips Can Make LLMs Act Bayesian

Reference 2

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T11:25:30.852884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 65053e16-3a20-4a67-8e44-715ca6fdddfe · inbound

EviCare: Enhancing Diagnosis Prediction with Deep Model-Guided Evidence for In-Context Reasoning cites this paper.

EviCare: Enhancing Diagnosis Prediction with Deep Model-Guided Evidence for In-Context Reasoning Enough Coin Flips Can Make LLMs Act Bayesian

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:21:02.030026Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.