Paper Citation Record · LEDGER

Using Large Language Models to Suggest Informative Prior Distributions in Bayesian Statistics

As of 8 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 2 inbound Pith citation observations for arXiv:2506.21964.

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

pith.paper-citation-record.v1
2506.21964 v1

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:18:19.694996Z

measured 28 of 28 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-18T16:39:03.794436Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

26 of 26 outbound references displayed

verified exact0
verified fuzzy17
unresolved9
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 81741660-5d10-4a2c-8b12-44b4f659f95c · outbound

This paper cites LLMs in Education: Novel Perspectives, Challenges, and Opportunities.

Using Large Language Models to Suggest Informative Prior Distributions in Bayesian Statistics LLMs in Education: Novel Perspectives, Challenges, and Opportunities

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T22:18:17.038047Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2c012651-1833-4a87-a125-7948e654c417 · outbound

This paper cites Claude 3 Opus.

Using Large Language Models to Suggest Informative Prior Distributions in Bayesian Statistics Claude 3 Opus

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:18:23.766208Z

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.

Observation 36bbd8cd-a729-405c-9727-7b95992f6c17 · outbound

This paper cites Current applications and challenges in large language models for patient care: a systematic review.

Using Large Language Models to Suggest Informative Prior Distributions in Bayesian Statistics Current applications and challenges in large language models for patient care: a systematic review

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:18:23.574770Z

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.

Observation d3310127-9360-4ec2-94ab-49795d5fd4bf · outbound

This paper cites AutoElicit: Using Large Language Models for Expert Prior Elicitation in Predictive Modelling.

Using Large Language Models to Suggest Informative Prior Distributions in Bayesian Statistics AutoElicit: Using Large Language Models for Expert Prior Elicitation in Predictive Modelling

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T22:18:17.423686Z

Source-reported events for the cited work

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Observation 77c30e93-5b50-4840-b919-7e03f0f01e00 · outbound

This paper cites Statistical inference.

Using Large Language Models to Suggest Informative Prior Distributions in Bayesian Statistics Statistical inference

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T22:18:17.530924Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 93b7dbb5-8f57-4120-9467-3c565f312ff1 · outbound

This paper cites Leveraging large language models in finance: Pathways to responsible adoption, 2024.

Using Large Language Models to Suggest Informative Prior Distributions in Bayesian Statistics Leveraging large language models in finance: Pathways to responsible adoption, 2024

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:18:23.364282Z

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.

Observation e99bbb01-afc6-47a4-bdad-6bb1454ad725 · outbound

This paper cites Checking for prior-data conflict.

Using Large Language Models to Suggest Informative Prior Distributions in Bayesian Statistics Checking for prior-data conflict

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:18:23.191995Z

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.

Observation 9a5a27ab-ac71-4551-92ac-eefebc4acd8a · outbound

This paper cites Bayesian concept bottleneck models with llm priors.

Using Large Language Models to Suggest Informative Prior Distributions in Bayesian Statistics Bayesian concept bottleneck models with llm priors

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T22:18:17.886523Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ac663942-d202-45ba-ac56-e92bb33d284d · outbound

This paper cites Carlin, Hal S.

Using Large Language Models to Suggest Informative Prior Distributions in Bayesian Statistics Carlin, Hal S

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:18:23.021473Z

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.

Observation 05aa15ea-6357-4f55-b11b-da4444129804 · outbound

This paper cites Gemini 1.5 Pro.

Using Large Language Models to Suggest Informative Prior Distributions in Bayesian Statistics Gemini 1.5 Pro

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:18:22.829107Z

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.

Observation 8d7f2acb-3ca4-4ea3-b0ef-8ffad289ddc7 · outbound

This paper cites Automated prior elicitation from large language models for bayesian logistic regression.

Using Large Language Models to Suggest Informative Prior Distributions in Bayesian Statistics Automated prior elicitation from large language models for bayesian logistic regression

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:18:22.683003Z

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.

Observation 85a53a13-f997-4b7a-8438-b45ecb470fa6 · outbound

This paper cites Accurate predictions on small data with a tabular foundation model.

Using Large Language Models to Suggest Informative Prior Distributions in Bayesian Statistics Accurate predictions on small data with a tabular foundation model

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:18:22.515303Z

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.

Observation 4b8a6a6e-d9d9-4251-9c60-876aef9039f4 · outbound

This paper cites Heart Disease.

Using Large Language Models to Suggest Informative Prior Distributions in Bayesian Statistics Heart Disease

Reference 13

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Source-reported events for the cited work

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Observation 74147a03-8fcb-4d27-952d-2f94ff2dba56 · outbound

This paper cites Survey of hallucination in natural language generation.

Using Large Language Models to Suggest Informative Prior Distributions in Bayesian Statistics Survey of hallucination in natural language generation

Reference 14

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b381ce0e-8908-45f3-b3c2-ecc78027e234 · outbound

This paper cites The Fram- ingham Heart Study and the epidemiology of cardiovascular diseases: a historical perspec- tive.

Using Large Language Models to Suggest Informative Prior Distributions in Bayesian Statistics The Fram- ingham Heart Study and the epidemiology of cardiovascular diseases: a historical perspec- tive

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:18:22.337544Z

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.

Observation 66e2ef5c-6397-48b0-9597-7f6eb80fc662 · outbound

This paper cites Prior knowledge elicitation: The past, present, and future.

Using Large Language Models to Suggest Informative Prior Distributions in Bayesian Statistics Prior knowledge elicitation: The past, present, and future

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:18:22.164242Z

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.

Observation 85e0ee85-086d-42d1-acc3-9bb3dd99a5ed · outbound

This paper cites Inference for the generalization error.

Using Large Language Models to Suggest Informative Prior Distributions in Bayesian Statistics Inference for the generalization error

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:18:21.973006Z

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.

Observation c2c584e2-13d9-48e6-9534-066de14d56f3 · outbound

This paper cites A Survey of Large Language Models for Financial Applications: Progress, Prospects and Challenges.

Using Large Language Models to Suggest Informative Prior Distributions in Bayesian Statistics A Survey of Large Language Models for Financial Applications: Progress, Prospects and Challenges

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T22:18:18.824699Z

Source-reported events for the cited work

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Observation a089c244-cf31-451e-91ee-feb32bc41b2e · outbound

This paper cites Checking for prior-data conflict using prior-to-posterior divergences.

Using Large Language Models to Suggest Informative Prior Distributions in Bayesian Statistics Checking for prior-data conflict using prior-to-posterior divergences

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:18:21.761155Z

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.

Observation 16d298f6-530c-4548-aea2-373c3caadab5 · outbound

This paper cites ChatGPT-4o-mini.

Using Large Language Models to Suggest Informative Prior Distributions in Bayesian Statistics ChatGPT-4o-mini

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:18:21.373608Z

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.

Observation ff923e51-7075-4a93-8e9e-cc5517bff25d · outbound

This paper cites Llm processes: Numerical predictive distributions conditioned on natural language.

Using Large Language Models to Suggest Informative Prior Distributions in Bayesian Statistics Llm processes: Numerical predictive distributions conditioned on natural language

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:18:20.746507Z

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.

Observation 17ec953a-4a18-473d-b76a-fb52b4beff1c · outbound

This paper cites Approximate bayesian inference for latent gaussian models by using integrated nested laplace approximations.

Using Large Language Models to Suggest Informative Prior Distributions in Bayesian Statistics Approximate bayesian inference for latent gaussian models by using integrated nested laplace approximations

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:18:20.540929Z

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.

Observation ce110da1-21e4-4571-ac96-30cdf06ccdbd · outbound

This paper cites MONICA: Monograph and Multimedia Sourcebook: World’s largest study of heart disease, stroke, risk factors, and population trends, 1979-2002.

Using Large Language Models to Suggest Informative Prior Distributions in Bayesian Statistics MONICA: Monograph and Multimedia Sourcebook: World’s largest study of heart disease, stroke, risk factors, and population trends, 1979-2002

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:18:20.273350Z

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.

Observation ed148836-1467-44f8-9608-7a2771255ab5 · outbound

This paper cites Large Language Models for Education: A Survey and Outlook.

Using Large Language Models to Suggest Informative Prior Distributions in Bayesian Statistics Large Language Models for Education: A Survey and Outlook

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T22:18:19.538903Z

Source-reported events for the cited work

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Observation d86305c0-44ce-4fbb-966b-316858a5572b · outbound

This paper cites Concrete Compressive Strength.

Using Large Language Models to Suggest Informative Prior Distributions in Bayesian Statistics Concrete Compressive Strength

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T22:18:19.601918Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2501d4e7-5c7b-4f03-9966-af53f96c1942 · outbound

This paper cites Revolutionizing health care: The transforma- tive impact of large language models in medicine.

Using Large Language Models to Suggest Informative Prior Distributions in Bayesian Statistics Revolutionizing health care: The transforma- tive impact of large language models in medicine

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:18:20.010877Z

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.

Pith citing papers

Observation 2b0ad765-4c16-432c-8d73-f167e32f3cd1 · inbound

The Prompt Engineering Report Distilled: Quick Start Guide for Life Sciences cites this paper.

The Prompt Engineering Report Distilled: Quick Start Guide for Life Sciences Using Large Language Models to Suggest Informative Prior Distributions in Bayesian Statistics

Reference 104

Resolution: verified exact; arxiv_id, observed 2026-05-18T16:41:38.155199Z

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.

Observation 3c564027-827c-4ccd-a1d0-3b92dc8268ae · inbound

The Prompt Engineering Report Distilled: Quick Start Guide for Life Sciences cites this paper.

The Prompt Engineering Report Distilled: Quick Start Guide for Life Sciences Using Large Language Models to Suggest Informative Prior Distributions in Bayesian Statistics

Reference 105

Resolution: metadata mismatch; arxiv_id, observed 2026-05-18T16:41:37.530277Z

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.