Paper Citation Record · LEDGER

AutoElicit: Using Large Language Models for Expert Prior Elicitation in Predictive Modelling

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2411.17284.

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

pith.paper-citation-record.v1
2411.17284 v5

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:09:26.348509Z

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

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

1
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 1519a35d-ee83-4447-a436-09fd75c3ccdb · inbound

Exploiting LLMs for Automatic Hypothesis Assessment via a Logit-Based Calibrated Prior cites this paper.

Exploiting LLMs for Automatic Hypothesis Assessment via a Logit-Based Calibrated Prior AutoElicit: Using Large Language Models for Expert Prior Elicitation in Predictive Modelling

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T11:09:26.348509Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Using Large Language Models to Suggest Informative Prior Distributions in Bayesian Statistics cites this paper.

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

Unavailable: canonical work link unavailable.

Observation ec84e95e-e408-47cd-8d08-704c4cb6dfc5 · 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 AutoElicit: Using Large Language Models for Expert Prior Elicitation in Predictive Modelling

Reference 46

Resolution: verified exact; arxiv_id, observed 2026-05-18T16:41:37.969845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 5c2532ae-10ac-4d46-93aa-4083d12f3bf3 · 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 AutoElicit: Using Large Language Models for Expert Prior Elicitation in Predictive Modelling

Reference 47

Resolution: metadata mismatch; arxiv_id, observed 2026-05-18T16:41:37.301455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 3538f86a-0327-4a59-96c2-f3017d1b82c3 · inbound

AI4BayesCode: From Natural Language Descriptions to Validated Modular Stateful Bayesian Samplers cites this paper.

AI4BayesCode: From Natural Language Descriptions to Validated Modular Stateful Bayesian Samplers AutoElicit: Using Large Language Models for Expert Prior Elicitation in Predictive Modelling

Reference 54

Resolution: verified exact; arxiv_id, observed 2026-05-20T01:57:57.660378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 0b621bc2-a433-4408-8b94-c2e297c432be · inbound

Causal Risk Minimization for High-Dimensional Treatments cites this paper.

Causal Risk Minimization for High-Dimensional Treatments AutoElicit: Using Large Language Models for Expert Prior Elicitation in Predictive Modelling

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-06-29T18:13:48.461829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.