Paper Citation Record · LEDGER

GPT-4 Doesn't Know It's Wrong: An Analysis of Iterative Prompting for Reasoning Problems

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2310.12397.

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

pith.paper-citation-record.v1
2310.12397 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T21:33:37.395529Z

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

11
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 2af25100-fe67-44ff-bece-e9f9a4e841fe · inbound

S$^2$-MAD: Breaking the Token Barrier to Enhance Multi-Agent Debate Efficiency cites this paper.

S$^2$-MAD: Breaking the Token Barrier to Enhance Multi-Agent Debate Efficiency GPT-4 Doesn't Know It's Wrong: An Analysis of Iterative Prompting for Reasoning Problems

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-08T21:33:37.395529Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5d064cd7-dda9-4876-b173-ef880458fcdb · inbound

Training Language Models for Social Deduction with Multi-Agent Reinforcement Learning cites this paper.

Training Language Models for Social Deduction with Multi-Agent Reinforcement Learning GPT-4 Doesn't Know It's Wrong: An Analysis of Iterative Prompting for Reasoning Problems

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-08T16:57:01.690429Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c30d184e-8fd5-44b6-89be-c49c8358f46d · inbound

Veracity Bias and Beyond: Uncovering LLMs' Hidden Beliefs in Problem-Solving Reasoning cites this paper.

Veracity Bias and Beyond: Uncovering LLMs' Hidden Beliefs in Problem-Solving Reasoning GPT-4 Doesn't Know It's Wrong: An Analysis of Iterative Prompting for Reasoning Problems

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T15:12:13.428065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0d1cd1f9-3767-42b5-80d3-572571960587 · inbound

Exchange of Perspective Prompting Enhances Reasoning in Large Language Models cites this paper.

Exchange of Perspective Prompting Enhances Reasoning in Large Language Models GPT-4 Doesn't Know It's Wrong: An Analysis of Iterative Prompting for Reasoning Problems

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T11:04:00.039133Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e490b109-c17f-4cd5-a8c2-c1fc2c6ca889 · inbound

It's Not That Simple. An Analysis of Simple Test-Time Scaling cites this paper.

It's Not That Simple. An Analysis of Simple Test-Time Scaling GPT-4 Doesn't Know It's Wrong: An Analysis of Iterative Prompting for Reasoning Problems

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T16:09:05.621221Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c2544d17-6930-4b8d-88d5-f83cfb1cdac9 · inbound

Lightweight Language Models are Prone to Reasoning Errors for Complex Computational Phenotyping Tasks cites this paper.

Lightweight Language Models are Prone to Reasoning Errors for Complex Computational Phenotyping Tasks GPT-4 Doesn't Know It's Wrong: An Analysis of Iterative Prompting for Reasoning Problems

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T11:06:07.559969Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 56886bbe-0b59-4a90-8aae-f3d38fa406a8 · inbound

OPT-BENCH: Evaluating the Iterative Self-Optimization of LLM Agents in Large-Scale Search Spaces cites this paper.

OPT-BENCH: Evaluating the Iterative Self-Optimization of LLM Agents in Large-Scale Search Spaces GPT-4 Doesn't Know It's Wrong: An Analysis of Iterative Prompting for Reasoning Problems

Reference 51

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T03:01:18.605389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation cf2eba2c-f2d4-4fdf-897d-fe6536776d99 · inbound

Roll Out and Roll Back: Diffusion LLMs are Their Own Efficiency Teachers cites this paper.

Roll Out and Roll Back: Diffusion LLMs are Their Own Efficiency Teachers GPT-4 Doesn't Know It's Wrong: An Analysis of Iterative Prompting for Reasoning Problems

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-19T20:42:46.111972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 40139c4b-32fe-4dde-99d6-4ca72fa8a5ae · inbound

The Sword, Shield, and Achilles' Heel: Characterizing the Linguistic Inductive Bias of Large Language Models for Spatial Reasoning in Navigation Planning cites this paper.

The Sword, Shield, and Achilles' Heel: Characterizing the Linguistic Inductive Bias of Large Language Models for Spatial Reasoning in Navigation Planning GPT-4 Doesn't Know It's Wrong: An Analysis of Iterative Prompting for Reasoning Problems

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-07-01T19:36:08.375155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 06a3d703-496c-4a31-aaef-27d37cbbcfb3 · inbound

The Self-Correction Illusion: Role Relabeling Gates Explicit Error Flagging in Large Language Models cites this paper.

The Self-Correction Illusion: Role Relabeling Gates Explicit Error Flagging in Large Language Models GPT-4 Doesn't Know It's Wrong: An Analysis of Iterative Prompting for Reasoning Problems

Reference 34

Resolution: metadata mismatch; arxiv_id, observed 2026-06-28T01:31:29.251945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 3384582e-a352-49d0-a3ef-65f30119565d · inbound

DICE: Entropy-Regularized Equilibrium Selection for Stable Multi-Agent LLM Coordination cites this paper.

DICE: Entropy-Regularized Equilibrium Selection for Stable Multi-Agent LLM Coordination GPT-4 Doesn't Know It's Wrong: An Analysis of Iterative Prompting for Reasoning Problems

Reference 87

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T21:07:23.497033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.