Paper Citation Record · LEDGER

Improving the Reliability of LLMs: Combining CoT, RAG, Self-Consistency, and Self-Verification

As of 23 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 1 inbound Pith citation observation for arXiv:2505.09031.

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

pith.paper-citation-record.v1
2505.09031 v1

Coverage vector

measured 13 of 13 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:45:32.139522Z

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:26:43.612925Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T15:26:49.492737Z

Reference resolution

13 of 13 outbound references displayed

verified exact0
verified fuzzy0
unresolved13
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation aa819ec3-f666-45e5-8be9-eb2d99abdc9c · outbound

This paper cites Retrieval-Augmented Generation for Large Language Models: A Survey.

Improving the Reliability of LLMs: Combining CoT, RAG, Self-Consistency, and Self-Verification Retrieval-Augmented Generation for Large Language Models: A Survey

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-15T21:45:32.089083Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 61c0c68b-f6c2-4dba-ac4a-84c5951e1712 · outbound

This paper cites SelfCheckGPT: Zero-Resource Black-Box Hallucination Detection for Generative Large Language Models.

Improving the Reliability of LLMs: Combining CoT, RAG, Self-Consistency, and Self-Verification SelfCheckGPT: Zero-Resource Black-Box Hallucination Detection for Generative Large Language Models

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-15T21:45:32.112397Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6383e312-66e1-424e-abab-81e55c1ebd29 · outbound

This paper cites A Comprehensive Overview of Large Language Models.

Improving the Reliability of LLMs: Combining CoT, RAG, Self-Consistency, and Self-Verification A Comprehensive Overview of Large Language Models

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-15T21:45:32.116441Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a715c42a-3b50-48e4-ac48-b2f465e806ff · outbound

This paper cites Lookback Lens: Detecting and Mitigating Contextual Hallucinations in Large Language Models Using Only Attention Maps.

Improving the Reliability of LLMs: Combining CoT, RAG, Self-Consistency, and Self-Verification Lookback Lens: Detecting and Mitigating Contextual Hallucinations in Large Language Models Using Only Attention Maps

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-15T21:45:32.120946Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0e624e5f-a114-42c2-bb8f-e0505555ac62 · outbound

This paper cites Self-Consistency Improves Chain of Thought Reasoning in Language Models.

Improving the Reliability of LLMs: Combining CoT, RAG, Self-Consistency, and Self-Verification Self-Consistency Improves Chain of Thought Reasoning in Language Models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-15T21:45:32.128516Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e7b81d08-41b4-4741-8f20-db32e68e1466 · outbound

This paper cites Chain-of-Thought Prompting Elicits Reasoning in Large Language Models.

Improving the Reliability of LLMs: Combining CoT, RAG, Self-Consistency, and Self-Verification Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-15T21:45:32.131910Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4375e49a-f2ac-4fde-bc32-62f5f36fd0a2 · outbound

This paper cites Large Language Models are Better Reasoners with Self-Verification.

Improving the Reliability of LLMs: Combining CoT, RAG, Self-Consistency, and Self-Verification Large Language Models are Better Reasoners with Self-Verification

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-15T21:45:32.135326Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f35ff8c-8401-4434-87f2-4497f8adb3a7 · outbound

This paper cites How Language Model Hallucinations Can Snowball.

Improving the Reliability of LLMs: Combining CoT, RAG, Self-Consistency, and Self-Verification How Language Model Hallucinations Can Snowball

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-15T21:45:32.139522Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ded6e5ac-7399-48ab-a5a5-48593df25579 · outbound

This paper cites FEVER: a large-scale dataset for Fact Extraction and VERification.

Improving the Reliability of LLMs: Combining CoT, RAG, Self-Consistency, and Self-Verification FEVER: a large-scale dataset for Fact Extraction and VERification

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-15T21:45:32.124818Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 48084f94-ddf4-4f73-8956-66602b68fce3 · outbound

This paper cites TruthfulQA: Measuring How Models Mimic Human Falsehoods.

Improving the Reliability of LLMs: Combining CoT, RAG, Self-Consistency, and Self-Verification TruthfulQA: Measuring How Models Mimic Human Falsehoods

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-15T21:45:32.106567Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 899a6da5-1779-4552-8280-a84ebec345d3 · outbound

This paper cites HaluEval: A Large-Scale Hallucination Evaluation Benchmark for Large Language Models.

Improving the Reliability of LLMs: Combining CoT, RAG, Self-Consistency, and Self-Verification HaluEval: A Large-Scale Hallucination Evaluation Benchmark for Large Language Models

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-15T21:45:32.102379Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0b3cfb21-35ff-439a-a05d-edbcd91fdb2c · outbound

This paper cites FactCHD: Benchmarking Fact-Conflicting Hallucination Detection.

Improving the Reliability of LLMs: Combining CoT, RAG, Self-Consistency, and Self-Verification FactCHD: Benchmarking Fact-Conflicting Hallucination Detection

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-15T21:45:32.083974Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ca5a3ca2-47da-4b84-813e-3335d731bfa4 · outbound

This paper cites CoT-RAG: Integrating Chain of Thought and Retrieval-Augmented Generation to Enhance Reasoning in Large Language Models.

Improving the Reliability of LLMs: Combining CoT, RAG, Self-Consistency, and Self-Verification CoT-RAG: Integrating Chain of Thought and Retrieval-Augmented Generation to Enhance Reasoning in Large Language Models

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-15T21:45:32.098095Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation ee054d3c-832e-43d6-b6d1-4552119e5080 · inbound

RoT: Enhancing Table Reasoning with Iterative Row-Wise Traversals cites this paper.

RoT: Enhancing Table Reasoning with Iterative Row-Wise Traversals Improving the Reliability of LLMs: Combining CoT, RAG, Self-Consistency, and Self-Verification

Reference 186

Resolution: metadata mismatch; local_arxiv, observed 2026-08-07T15:26:49.571008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.