Pith. sign in

Paper Citation Record · LEDGER

Enough Coin Flips Can Make LLMs Act Bayesian

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 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 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:40:36.299821Z

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-19T10:34:40.987583Z digest=sha256:5eafbf669fa5c4c5cf2fbaa2df08e4612ada25e87c004c2ac407bd3fa9bb9962

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-19T09:23:44.372077Z digest=sha256:0dc07d54ff7e218b517a093524cd3f6ad07259cb5b28b9473e2aea7b8a1bdec4

Observation ba4ae497-719f-486f-bd5f-23228f5d19c2 · inbound

Beyond Scaling Curves: Internal Dynamics of Neural Networks Through the NTK Lens cites this paper.

Beyond Scaling Curves: Internal Dynamics of Neural Networks Through the NTK Lens Enough Coin Flips Can Make LLMs Act Bayesian

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-06T19:40:36.299821Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:40:36.299821Z digest=sha256:ac8d2f765d4f5626b729872c5fee9c899c75bb23070836f61a1b8c9deddb46be

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-15T11:24:50.100034Z digest=sha256:295b912ab1837bd5ae1409c20aadb558538b69a3a3f911d651028ac1dc611d78

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-10T16:04:15.995849Z digest=sha256:6f73fb66b5d1fb0e73cedcf79f49947f6e6806065ec5e0dccb1800254fbe2d58