Paper Citation Record · LEDGER

Self-Reflection Makes Large Language Models Safer, Less Biased, and Ideologically Neutral

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2406.10400.

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

pith.paper-citation-record.v1
2406.10400 v2

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 2026-08-09T06:31:02.800959+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T06:00:19.904806Z

measured 1 of 1 external citation measurements

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

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

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation e271d8be-afc8-4bd0-8839-b5b0e3f9e7f4 · inbound

Evolutionary Perspectives on the Evaluation of LLM-Based AI Agents: A Comprehensive Survey cites this paper.

Evolutionary Perspectives on the Evaluation of LLM-Based AI Agents: A Comprehensive Survey Self-Reflection Makes Large Language Models Safer, Less Biased, and Ideologically Neutral

Reference 199

Resolution: unresolved; no resolver link, observed 2026-08-07T06:00:19.904806Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5012415e-37d7-479a-b840-2af01d93001e · inbound

From Emergence to Control: Probing and Modulating Self-Reflection in Language Models cites this paper.

From Emergence to Control: Probing and Modulating Self-Reflection in Language Models Self-Reflection Makes Large Language Models Safer, Less Biased, and Ideologically Neutral

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T01:03:39.646395Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c94fc518-c1c3-4364-abb8-6dc70395d769 · inbound

No Free Lunch: Rethinking Internal Feedback for LLM Reasoning cites this paper.

No Free Lunch: Rethinking Internal Feedback for LLM Reasoning Self-Reflection Makes Large Language Models Safer, Less Biased, and Ideologically Neutral

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T23:35:24.724746Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9399948d-8af5-4cf3-8bc3-4072d985f82c · inbound

Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey cites this paper.

Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey Self-Reflection Makes Large Language Models Safer, Less Biased, and Ideologically Neutral

Reference 106

Resolution: unresolved; no resolver link, observed 2026-08-06T17:54:17.226710Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d7881e67-b55b-4f0a-a74f-5b1944d62543 · inbound

Red-Teaming Coding Agents from a Tool-Invocation Perspective: An Empirical Security Assessment cites this paper.

Red-Teaming Coding Agents from a Tool-Invocation Perspective: An Empirical Security Assessment Self-Reflection Makes Large Language Models Safer, Less Biased, and Ideologically Neutral

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-05T05:09:39.874576Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5a959274-30b5-4f34-9ab0-655f932b376c · inbound

Failure Makes the Agent Stronger: Enhancing Accuracy through Structured Reflection for Reliable Tool Interactions cites this paper.

Failure Makes the Agent Stronger: Enhancing Accuracy through Structured Reflection for Reliable Tool Interactions Self-Reflection Makes Large Language Models Safer, Less Biased, and Ideologically Neutral

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-18T15:01:31.302639Z

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 eef3de12-a961-4106-b0e3-0fa211c6feda · inbound

Library Hallucinations in LLM-Generated Code: A Risk Analysis Grounded in Developer Queries cites this paper.

Library Hallucinations in LLM-Generated Code: A Risk Analysis Grounded in Developer Queries Self-Reflection Makes Large Language Models Safer, Less Biased, and Ideologically Neutral

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-05-21T22:34:24.543732Z

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 c54bac01-abc1-4a6e-91cf-7b46b6ccb1c6 · inbound

Structured Visual Narratives Undermine Safety Alignment in Multimodal Large Language Models cites this paper.

Structured Visual Narratives Undermine Safety Alignment in Multimodal Large Language Models Self-Reflection Makes Large Language Models Safer, Less Biased, and Ideologically Neutral

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-15T01:28:27.047095Z

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 7a4efce8-c53f-476b-a953-da1a47a18f72 · inbound

QRAFTI: An Agentic Framework for Empirical Research in Quantitative Finance cites this paper.

QRAFTI: An Agentic Framework for Empirical Research in Quantitative Finance Self-Reflection Makes Large Language Models Safer, Less Biased, and Ideologically Neutral

Reference 4

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T03:08:58.938386Z

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 3c250f55-7006-4e25-a0d7-861d714b9f17 · inbound

Lost in Delusion: Examining LLM Safety Under User Delusions and Distress cites this paper.

Lost in Delusion: Examining LLM Safety Under User Delusions and Distress Self-Reflection Makes Large Language Models Safer, Less Biased, and Ideologically Neutral

Reference 18

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T20:46:13.742119Z

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 d1e52f25-c789-4352-aab3-def13eac307a · inbound

Unified Audio Intelligence Without Regressing on Text Intelligence cites this paper.

Unified Audio Intelligence Without Regressing on Text Intelligence Self-Reflection Makes Large Language Models Safer, Less Biased, and Ideologically Neutral

Reference 148

Resolution: metadata mismatch; local_arxiv, observed 2026-07-08T00:04:22.355956Z

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 c3819ee1-aa7d-4706-816c-7dec114a3627 · inbound

Unified Audio Intelligence Without Regressing on Text Intelligence cites this paper.

Unified Audio Intelligence Without Regressing on Text Intelligence Self-Reflection Makes Large Language Models Safer, Less Biased, and Ideologically Neutral

Reference 148

Resolution: unresolved; no resolver link, observed 2026-07-11T07:46:49.059192Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.