Paper Citation Record · LEDGER

Eliciting the Priors of Large Language Models using Iterated In-Context Learning

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2406.01860.

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

pith.paper-citation-record.v1
2406.01860 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:57:38.191765Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T15:08:33.654710Z

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 023fa658-2b37-46e0-a77d-796e875e83f5 · inbound

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

AutoElicit: Using Large Language Models for Expert Prior Elicitation in Predictive Modelling Eliciting the Priors of Large Language Models using Iterated In-Context Learning

Reference 2023

Resolution: malformed identifier; no resolver link, observed 2026-08-12T12:22:44.873093Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3a402623-89e1-4557-8471-103c12706c1d · inbound

Steering Risk Preferences in Large Language Models by Aligning Behavioral and Neural Representations cites this paper.

Steering Risk Preferences in Large Language Models by Aligning Behavioral and Neural Representations Eliciting the Priors of Large Language Models using Iterated In-Context Learning

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-15T20:57:38.191765Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5d74f7bd-c2f4-43c7-943a-c49c357804a9 · inbound

Are Large Language Models Reliable AI Scientists? Assessing Reverse-Engineering of Black-Box Systems cites this paper.

Are Large Language Models Reliable AI Scientists? Assessing Reverse-Engineering of Black-Box Systems Eliciting the Priors of Large Language Models using Iterated In-Context Learning

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-07T14:40:39.080062Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1e71e487-a1dc-4eca-8346-8eb7ef13852a · inbound

Leveraging Large Language Models in Visual Speech Recognition: Model Scaling, Context-Aware Decoding, and Iterative Polishing cites this paper.

Leveraging Large Language Models in Visual Speech Recognition: Model Scaling, Context-Aware Decoding, and Iterative Polishing Eliciting the Priors of Large Language Models using Iterated In-Context Learning

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T13:26:50.653716Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f6eb4c20-b254-4fc3-abd7-162c8976a3ba · inbound

Do Language Models Have Bayesian Brains? Distinguishing Stochastic and Deterministic Decision Patterns within Large Language Models cites this paper.

Do Language Models Have Bayesian Brains? Distinguishing Stochastic and Deterministic Decision Patterns within Large Language Models Eliciting the Priors of Large Language Models using Iterated In-Context Learning

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T04:36:07.045171Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f4d0be9-32f8-447e-a2e8-e5e6efdc7040 · inbound

Language-Informed Synthesis of Rational Agent Models for Grounded Theory-of-Mind Reasoning On-The-Fly cites this paper.

Language-Informed Synthesis of Rational Agent Models for Grounded Theory-of-Mind Reasoning On-The-Fly Eliciting the Priors of Large Language Models using Iterated In-Context Learning

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-15T19:24:53.758518Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cc286cca-bbe2-4963-ad13-764be790f11e · inbound

The Other Mind: How Language Models Exhibit Human Temporal Cognition cites this paper.

The Other Mind: How Language Models Exhibit Human Temporal Cognition Eliciting the Priors of Large Language Models using Iterated In-Context Learning

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-06T15:30:38.873198Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f6896f85-3393-4a7f-a935-0ba6f2a4e606 · inbound

Meta-learning ecological priors from large language models explains human learning and decision making cites this paper.

Meta-learning ecological priors from large language models explains human learning and decision making Eliciting the Priors of Large Language Models using Iterated In-Context Learning

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-05T14:46:34.726869Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 42fc6a86-24c7-48b8-9a44-0b2ab17bad80 · inbound

LILO: Bayesian Optimization with Natural Language Feedback cites this paper.

LILO: Bayesian Optimization with Natural Language Feedback Eliciting the Priors of Large Language Models using Iterated In-Context Learning

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-18T05:42:24.497441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 1e0d5351-4de5-431b-960c-2b17683d0887 · inbound

Reconstruction of Personally Identifiable Information from Supervised Finetuned Models cites this paper.

Reconstruction of Personally Identifiable Information from Supervised Finetuned Models Eliciting the Priors of Large Language Models using Iterated In-Context Learning

Reference 65

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T04:17:13.832230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 202710ff-bba1-418f-ad03-258cef306f3b · inbound

From `May' to `Is': Certainty Distortion in Language Model Rewriting cites this paper.

From `May' to `Is': Certainty Distortion in Language Model Rewriting Eliciting the Priors of Large Language Models using Iterated In-Context Learning

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-07-02T20:37:22.849608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation d77305b1-2cf0-480e-a8d5-ac77787a34c9 · inbound

Nous: An Attempt to Extract and Inject the Cognition Behind Prediction-Market Behavior cites this paper.

Nous: An Attempt to Extract and Inject the Cognition Behind Prediction-Market Behavior Eliciting the Priors of Large Language Models using Iterated In-Context Learning

Reference 38

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T15:08:33.656180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.