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Paper Citation Record · LEDGER

Self-Alignment for Factuality: Mitigating Hallucinations in LLMs via Self-Evaluation

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2402.09267.

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

pith.paper-citation-record.v1
2402.09267 v2

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 2026-08-14T06:32:32.682623+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T14:40:29.488769Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T20:58:26.632607Z

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 0b083ec9-eba9-410e-a0cc-6fc52ff3212f · inbound

Human-LLM Compound System for Scientific Ideation through Facet Recombination and Novelty Evaluation cites this paper.

Human-LLM Compound System for Scientific Ideation through Facet Recombination and Novelty Evaluation Self-Alignment for Factuality: Mitigating Hallucinations in LLMs via Self-Evaluation

Reference 79

Resolution
verified exact
arxiv_id, observed 2026-05-23T20:58:26.634854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-23T20:58:01.255342Z digest=sha256:7387af1a90351fe0c31ae7726a79b0c17211a34f0503567a083af9a4de44b6e2

Observation 74505a5c-73f8-4042-ab4a-10f537bbeb86 · inbound

UAlign: Leveraging Uncertainty Estimations for Factuality Alignment on Large Language Models cites this paper.

UAlign: Leveraging Uncertainty Estimations for Factuality Alignment on Large Language Models Self-Alignment for Factuality: Mitigating Hallucinations in LLMs via Self-Evaluation

Reference 77

Resolution
unresolved
no resolver link, observed 2026-08-11T14:40:29.488769Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T14:40:29.488769Z digest=sha256:a75c968dce5a90ebcfd60689f3805c7ea91ea7aac99c78815b8b86e1aa547d30

Observation 29b22627-fb9d-4c62-b229-767c32551ffc · inbound

Aligning Large Language Models for Faithful Integrity Against Opposing Argument cites this paper.

Aligning Large Language Models for Faithful Integrity Against Opposing Argument Self-Alignment for Factuality: Mitigating Hallucinations in LLMs via Self-Evaluation

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-10T22:35:43.978810Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T22:35:43.978810Z digest=sha256:0037a6e965287bf4a53e74b9ca8efea033ee7f099e902f9463a800a99567f9a0

Observation 5c856176-70ca-48fc-867f-43b14b097fdf · inbound

Pierce the Mists, Greet the Sky: Decipher Knowledge Overshadowing via Knowledge Circuit Analysis cites this paper.

Pierce the Mists, Greet the Sky: Decipher Knowledge Overshadowing via Knowledge Circuit Analysis Self-Alignment for Factuality: Mitigating Hallucinations in LLMs via Self-Evaluation

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-07T15:39:21.371406Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:39:21.371406Z digest=sha256:ff27423e8965c92a685f6d38c23001b0841f0a2361c2396587b4d6d4b4ab2d1e

Observation 5b8a5b64-18fb-44e6-b41f-7d7275260ab3 · inbound

Loki's Dance of Illusions: A Comprehensive Survey of Hallucination in Large Language Models cites this paper.

Loki's Dance of Illusions: A Comprehensive Survey of Hallucination in Large Language Models Self-Alignment for Factuality: Mitigating Hallucinations in LLMs via Self-Evaluation

Reference 93

Resolution
unresolved
no resolver link, observed 2026-08-07T10:18:56.319727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:18:56.319727Z digest=sha256:c05b3b733af20318ba6be8fb0ed74de487c11481f730a07ac4fa9fa9b4702d8a

Observation d70c21da-8f3e-41e0-afa6-844a6bc59dd6 · inbound

A Survey on Proactive Defense Strategies Against Misinformation in Large Language Models cites this paper.

A Survey on Proactive Defense Strategies Against Misinformation in Large Language Models Self-Alignment for Factuality: Mitigating Hallucinations in LLMs via Self-Evaluation

Reference 74

Resolution
unresolved
no resolver link, observed 2026-08-06T20:03:53.127522Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T20:03:53.127522Z digest=sha256:ef32d444ce8d559af2c379b59183287b2db63a46bf50cab442683f6a796c1b9b

Observation 182deb60-10fc-422f-a9d9-021c48c80f0d · inbound

A Mathematical Theory of Discursive Networks cites this paper.

A Mathematical Theory of Discursive Networks Self-Alignment for Factuality: Mitigating Hallucinations in LLMs via Self-Evaluation

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-06T19:08:23.341680Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:08:23.341680Z digest=sha256:e3db39a15f9355a0a8d7d669609d8f6da87bae158946e315c71ce9ff90fdc27a

Observation 2e281e93-06b0-4e24-8a8f-50013c59e1b2 · inbound

URPO: A Unified Reward & Policy Optimization Framework for Large Language Models cites this paper.

URPO: A Unified Reward & Policy Optimization Framework for Large Language Models Self-Alignment for Factuality: Mitigating Hallucinations in LLMs via Self-Evaluation

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-06T14:51:25.437067Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:51:25.437067Z digest=sha256:f04c5daf7e081fa52bd5598a15854c5b0bc104047469107bc6016fccab0de429

Observation 2339f69b-85c1-4b20-be0a-82f5d09a17ea · inbound

Hallucination Detection and Mitigation with Diffusion in Multi-Variate Time-Series Foundation Models cites this paper.

Hallucination Detection and Mitigation with Diffusion in Multi-Variate Time-Series Foundation Models Self-Alignment for Factuality: Mitigating Hallucinations in LLMs via Self-Evaluation

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-06T14:54:29.669576Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:54:29.669576Z digest=sha256:be1a409f27c2c8e857032ae02e837a7f6b3e8bf63abffde8fa862ec8c6797d8f

Observation 1daf6d9f-f489-4564-8362-245540113197 · inbound

Let's Revise Step-by-Step: A Unified Local Search Framework for Code Generation with LLMs cites this paper.

Let's Revise Step-by-Step: A Unified Local Search Framework for Code Generation with LLMs Self-Alignment for Factuality: Mitigating Hallucinations in LLMs via Self-Evaluation

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-05T22:09:46.395536Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T22:09:46.395536Z digest=sha256:08d8d4d5bdfdfa9809f6585df68dcb2c0ff3d93a00947fcf76a9fc9a9624c3f6

Observation 6fe17b43-61db-48ac-ae53-66953654ef2f · inbound

Building Task Bots with Self-learning for Enhanced Adaptability, Extensibility, and Factuality cites this paper.

Building Task Bots with Self-learning for Enhanced Adaptability, Extensibility, and Factuality Self-Alignment for Factuality: Mitigating Hallucinations in LLMs via Self-Evaluation

Reference 217

Resolution
unresolved
no resolver link, observed 2026-08-05T15:38:55.292679Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T15:38:55.292679Z digest=sha256:eac12493fe5f4ad161985f2e8d3c2d8a8f017cf4e36aef6f4844c05ca22aa257