Paper Citation Record · LEDGER

A comprehensive taxonomy of hallucinations in Large Language Models

As of 17 August 2026, this Paper Citation Record lists 100 of 109 outbound references and 10 inbound Pith citation observations for arXiv:2508.01781.

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

pith.paper-citation-record.v1
2508.01781 v1

Coverage vector

measured 100 of 109 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T05:29:20.424814Z

measured 110 of 110 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T15:52:36.801820Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T20:18:56.492973Z

Reference resolution

100 of 109 outbound references displayed

verified exact10
verified fuzzy14
unresolved76
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0fec714f-a6dd-4236-b18d-77b5c80b0d9a · outbound

This paper cites Exploring rag solutions to reduce hallucinations in llms.

A comprehensive taxonomy of hallucinations in Large Language Models Exploring rag solutions to reduce hallucinations in llms

Reference 1

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Observation 004db1db-bc8b-47d4-b787-9bc92d9a8f9e · outbound

This paper cites CodeMirage: Hallucinations in Code Generated by Large Language Models.

A comprehensive taxonomy of hallucinations in Large Language Models CodeMirage: Hallucinations in Code Generated by Large Language Models

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T05:29:09.100063Z

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Observation 99023a6f-bf1a-409b-8ffc-665de9a5ab9b · outbound

This paper cites Improving llm mathematical reasoning capabilities using external tools.

A comprehensive taxonomy of hallucinations in Large Language Models Improving llm mathematical reasoning capabilities using external tools

Reference 3

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Observation ebdc7163-03de-431b-a876-1d31bfb66594 · outbound

This paper cites Make your llm fully utilize the context.

A comprehensive taxonomy of hallucinations in Large Language Models Make your llm fully utilize the context

Reference 4

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Observation cb9b2478-bf32-4f6d-9a57-f52aa3841669 · outbound

This paper cites AgentHarm: A Benchmark for Measuring Harmfulness of LLM Agents.

A comprehensive taxonomy of hallucinations in Large Language Models AgentHarm: A Benchmark for Measuring Harmfulness of LLM Agents

Reference 5

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Observation 88b59d0f-bc84-489f-bdc3-118a796ad195 · outbound

This paper cites The Internal State of an LLM Knows When It's Lying.

A comprehensive taxonomy of hallucinations in Large Language Models The Internal State of an LLM Knows When It's Lying

Reference 6

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Source-reported events for the cited work

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Observation 5831c5ed-3040-4a23-a8c2-3a38c4a34cce · outbound

This paper cites HalluLens: LLM Hallucination Benchmark.

A comprehensive taxonomy of hallucinations in Large Language Models HalluLens: LLM Hallucination Benchmark

Reference 7

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Source-reported events for the cited work

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Observation 5b52e979-3c5f-4728-b8e6-7903fadf4421 · outbound

This paper cites Is Incoherence Surprising? Targeted Evaluation of Coherence Prediction from Language Models.

A comprehensive taxonomy of hallucinations in Large Language Models Is Incoherence Surprising? Targeted Evaluation of Coherence Prediction from Language Models

Reference 8

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Observation f72a4e47-3c58-461d-be5b-df612c4bba5f · outbound

This paper cites ’it’s reducing a human being to a percentage’ perceptions of justice in algorithmic decisions.

A comprehensive taxonomy of hallucinations in Large Language Models ’it’s reducing a human being to a percentage’ perceptions of justice in algorithmic decisions

Reference 9

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Observation b9143ab1-467f-4377-a1e6-1d6ded5ba7b7 · outbound

This paper cites Fact-Controlled Diagnosis of Hallucinations in Medical Text Summarization.

A comprehensive taxonomy of hallucinations in Large Language Models Fact-Controlled Diagnosis of Hallucinations in Medical Text Summarization

Reference 10

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Observation 4d300b79-236c-40c4-a7e7-f7e3f9214a0b · outbound

This paper cites Sparks of artificial general intelligence: Early experiments with gpt-4, 2023.

A comprehensive taxonomy of hallucinations in Large Language Models Sparks of artificial general intelligence: Early experiments with gpt-4, 2023

Reference 11

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Observation 1448971a-f1b7-4d96-bbbc-6d33ab894418 · outbound

This paper cites This reference does not exist: an explo- ration of llm citation accuracy and relevance.

A comprehensive taxonomy of hallucinations in Large Language Models This reference does not exist: an explo- ration of llm citation accuracy and relevance

Reference 12

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Observation 534c9eed-9fb7-47a3-bd89-9a9080492140 · outbound

This paper cites Hallucinated but Factual! Inspecting the Factuality of Hallucinations in Abstractive Summarization.

A comprehensive taxonomy of hallucinations in Large Language Models Hallucinated but Factual! Inspecting the Factuality of Hallucinations in Abstractive Summarization

Reference 13

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Observation 27d3d843-e8f4-41ee-975c-404b0054efd4 · outbound

This paper cites Detecting Errors through Ensembling Prompts (DEEP): An End-to-End LLM Framework for Detecting Factual Errors.

A comprehensive taxonomy of hallucinations in Large Language Models Detecting Errors through Ensembling Prompts (DEEP): An End-to-End LLM Framework for Detecting Factual Errors

Reference 14

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Observation cca87ab1-0e5a-4998-a222-3d2efc5e4b3f · outbound

This paper cites Softmax bottleneck makes language models unable to represent multi-mode word distributions.

A comprehensive taxonomy of hallucinations in Large Language Models Softmax bottleneck makes language models unable to represent multi-mode word distributions

Reference 15

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Observation af9bca2b-5f7d-4700-80ad-91ca833f7635 · outbound

This paper cites Towards improving faithful- ness in abstractive summarization.

A comprehensive taxonomy of hallucinations in Large Language Models Towards improving faithful- ness in abstractive summarization

Reference 16

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Observation 7ca84579-b083-4b69-88c6-5120f0ab85e7 · outbound

This paper cites Is your llm outdated? a deep look at temporal generalization.

A comprehensive taxonomy of hallucinations in Large Language Models Is your llm outdated? a deep look at temporal generalization

Reference 17

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Observation 5d802da5-7412-4a9b-8f8e-874cb64a536f · outbound

This paper cites Envisioning legal mitigations for llm-based intentional and unintentional harms.

A comprehensive taxonomy of hallucinations in Large Language Models Envisioning legal mitigations for llm-based intentional and unintentional harms

Reference 18

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Observation 70b36496-bada-46ac-ab59-d2891b2e5f33 · outbound

This paper cites (a) i am not a lawyer, but...: engaging legal experts towards responsible llm policies for legal advice.

A comprehensive taxonomy of hallucinations in Large Language Models (a) i am not a lawyer, but...: engaging legal experts towards responsible llm policies for legal advice

Reference 19

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Source-reported events for the cited work

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Observation b4773164-4ab7-437b-b6b3-e38215464430 · outbound

This paper cites Mind the confidence gap: Overconfidence, calibration, and distractor effects in large language models.

A comprehensive taxonomy of hallucinations in Large Language Models Mind the confidence gap: Overconfidence, calibration, and distractor effects in large language models

Reference 20

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Observation b39e424d-989e-4c83-b630-a03e3793aa2d · outbound

This paper cites Automation bias in intelligent time critical decision support systems.

A comprehensive taxonomy of hallucinations in Large Language Models Automation bias in intelligent time critical decision support systems

Reference 21

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Observation 4e641281-9113-4cbb-83b3-a529b16c7b17 · outbound

This paper cites Bias and unfairness in information retrieval systems: New challenges in the llm era.

A comprehensive taxonomy of hallucinations in Large Language Models Bias and unfairness in information retrieval systems: New challenges in the llm era

Reference 22

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Observation 04d3d285-a050-4f72-aa3b-2c810a150714 · outbound

This paper cites Building Guardrails for Large Language Models.

A comprehensive taxonomy of hallucinations in Large Language Models Building Guardrails for Large Language Models

Reference 23

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Observation acdde740-c4ba-4255-a996-dbba39e7d7ac · outbound

This paper cites Towards A Rigorous Science of Interpretable Machine Learning.

A comprehensive taxonomy of hallucinations in Large Language Models Towards A Rigorous Science of Interpretable Machine Learning

Reference 24

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Observation 1c737da6-9e8c-4017-ae69-cfae5e1a5771 · outbound

This paper cites The role of trust in automation reliance.

A comprehensive taxonomy of hallucinations in Large Language Models The role of trust in automation reliance

Reference 25

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Observation 5e659b59-a502-42f1-a02a-bcf418775b89 · outbound

This paper cites On the Origin of Hallucinations in Conversational Models: Is it the Datasets or the Models?.

A comprehensive taxonomy of hallucinations in Large Language Models On the Origin of Hallucinations in Conversational Models: Is it the Datasets or the Models?

Reference 26

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Observation fd2cd3b8-7ef7-426a-bfe2-bc24221ff59f · outbound

This paper cites Span-Level Hallucination Detection for LLM-Generated Answers.

A comprehensive taxonomy of hallucinations in Large Language Models Span-Level Hallucination Detection for LLM-Generated Answers

Reference 27

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Observation 2a497062-08d3-4cea-8466-976b7a04e346 · outbound

This paper cites Ragas: Automated evaluation of retrieval augmented generation.

A comprehensive taxonomy of hallucinations in Large Language Models Ragas: Automated evaluation of retrieval augmented generation

Reference 28

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Observation e3cd48ca-389b-409b-a44f-9ade6ed3b434 · outbound

This paper cites Enhancing Critical Thinking in Education by means of a Socratic Chatbot.

A comprehensive taxonomy of hallucinations in Large Language Models Enhancing Critical Thinking in Education by means of a Socratic Chatbot

Reference 29

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Observation 7cace2d8-4eb9-46b4-9ec5-b654409ca4b9 · outbound

This paper cites Don't Hallucinate, Abstain: Identifying LLM Knowledge Gaps via Multi-LLM Collaboration.

A comprehensive taxonomy of hallucinations in Large Language Models Don't Hallucinate, Abstain: Identifying LLM Knowledge Gaps via Multi-LLM Collaboration

Reference 30

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Observation 6be0cc54-93af-4fd7-98d1-08d12bbc2918 · outbound

This paper cites Navigating the Risks: A Survey of Security, Privacy, and Ethics Threats in LLM-Based Agents.

A comprehensive taxonomy of hallucinations in Large Language Models Navigating the Risks: A Survey of Security, Privacy, and Ethics Threats in LLM-Based Agents

Reference 31

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Observation a29b4bcd-01da-43dc-afe0-a22ff83c0fce · outbound

This paper cites Impact of high data quality on llm hallucinations.

A comprehensive taxonomy of hallucinations in Large Language Models Impact of high data quality on llm hallucinations

Reference 32

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Observation 3a6eac88-9c2a-48b8-890d-e5cea44f8b6c · outbound

This paper cites TrueTeacher: Learning Factual Consistency Evaluation with Large Language Models.

A comprehensive taxonomy of hallucinations in Large Language Models TrueTeacher: Learning Factual Consistency Evaluation with Large Language Models

Reference 33

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Observation 60ac60af-1c5d-4141-96b9-95b8947aa5ec · outbound

This paper cites Logical Consistency of Large Language Models in Fact-checking.

A comprehensive taxonomy of hallucinations in Large Language Models Logical Consistency of Large Language Models in Fact-checking

Reference 34

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Observation 246efccc-3373-4aca-bff0-ad43eab7bf9d · outbound

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A comprehensive taxonomy of hallucinations in Large Language Models Unresolved cited work

Reference 35

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Observation 6ed3cb09-2b29-4a87-a7bc-3f1b36eab6e4 · outbound

This paper cites TRUE: Re-evaluating Factual Consistency Evaluation.

A comprehensive taxonomy of hallucinations in Large Language Models TRUE: Re-evaluating Factual Consistency Evaluation

Reference 36

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Observation 269b9e96-40b1-4f08-a148-a67bc94889b4 · outbound

This paper cites $Q^{2}$: Evaluating Factual Consistency in Knowledge-Grounded Dialogues via Question Generation and Question Answering.

A comprehensive taxonomy of hallucinations in Large Language Models $Q^{2}$: Evaluating Factual Consistency in Knowledge-Grounded Dialogues via Question Generation and Question Answering

Reference 37

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Observation f6bda287-6d57-462d-862f-f3c5baf2b5a8 · outbound

This paper cites A survey on halluci- nation in large language models: Principles, taxonomy, challenges, and open questions.

A comprehensive taxonomy of hallucinations in Large Language Models A survey on halluci- nation in large language models: Principles, taxonomy, challenges, and open questions

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Observation 36732ba5-48fa-4610-8264-bbd0aaf8846b · outbound

This paper cites Leveraging Passage Retrieval with Generative Models for Open Domain Question Answering.

A comprehensive taxonomy of hallucinations in Large Language Models Leveraging Passage Retrieval with Generative Models for Open Domain Question Answering

Reference 39

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This paper cites Navigating LLM Ethics: Advancements, Challenges, and Future Directions.

A comprehensive taxonomy of hallucinations in Large Language Models Navigating LLM Ethics: Advancements, Challenges, and Future Directions

Reference 40

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Observation 84a78e7c-fdd5-46e3-bfbc-2031a7e7e6ce · outbound

This paper cites Can Large Language Models Infer Causation from Correlation?.

A comprehensive taxonomy of hallucinations in Large Language Models Can Large Language Models Infer Causation from Correlation?

Reference 41

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Observation 28ef58fe-4de8-47f1-a5a8-43c625d1f2f8 · outbound

This paper cites Mitigating llm hallucinations: A comprehensive review of techniques and architectures.

A comprehensive taxonomy of hallucinations in Large Language Models Mitigating llm hallucinations: A comprehensive review of techniques and architectures

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Observation 066160e2-6d6a-4cf5-9ba3-380cfa25d568 · outbound

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A comprehensive taxonomy of hallucinations in Large Language Models Understanding the Effects of RLHF on LLM Generalisation and Diversity

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This paper cites Evaluating the Factual Consistency of Abstractive Text Summarization.

A comprehensive taxonomy of hallucinations in Large Language Models Evaluating the Factual Consistency of Abstractive Text Summarization

Reference 44

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This paper cites Summac: Re- visiting nli-based models for inconsistency detection in summarization.

A comprehensive taxonomy of hallucinations in Large Language Models Summac: Re- visiting nli-based models for inconsistency detection in summarization

Reference 45

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A comprehensive taxonomy of hallucinations in Large Language Models Adversarial filters of dataset biases

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A comprehensive taxonomy of hallucinations in Large Language Models Hallucination by Code Generation LLMs: Taxonomy, Benchmarks, Mitigation, and Challenges

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A comprehensive taxonomy of hallucinations in Large Language Models Retrieval- augmented generation for knowledge-intensive nlp tasks

Reference 48

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Observation ad50244e-30b2-41f6-a4b8-42f0a48208e9 · outbound

This paper cites Drift: Dynamic rule-based defense with injection isolation for securing llm agents.

A comprehensive taxonomy of hallucinations in Large Language Models Drift: Dynamic rule-based defense with injection isolation for securing llm agents

Reference 49

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A comprehensive taxonomy of hallucinations in Large Language Models The Dawn After the Dark: An Empirical Study on Factuality Hallucination in Large Language Models

Reference 50

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This paper cites Detecting LLM Fact-conflicting Hallucinations Enhanced by Temporal-logic-based Reasoning.

A comprehensive taxonomy of hallucinations in Large Language Models Detecting LLM Fact-conflicting Hallucinations Enhanced by Temporal-logic-based Reasoning

Reference 51

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Observation 108883c0-e92d-4267-8ec1-8d22f698a018 · outbound

This paper cites Rouge: A package for automatic evaluation of summaries.

A comprehensive taxonomy of hallucinations in Large Language Models Rouge: A package for automatic evaluation of summaries

Reference 52

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Observation fd4e0c42-5242-446a-86ed-53e1c04d4162 · outbound

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

A comprehensive taxonomy of hallucinations in Large Language Models TruthfulQA: Measuring How Models Mimic Human Falsehoods

Reference 53

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Observation bafde210-8c26-45de-a865-de4c7c956cfb · outbound

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A comprehensive taxonomy of hallucinations in Large Language Models Teaching Models to Express Their Uncertainty in Words

Reference 54

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Observation 46881b43-642c-4772-b5c1-270725d1f111 · outbound

This paper cites Mitigating the Alignment Tax of RLHF.

A comprehensive taxonomy of hallucinations in Large Language Models Mitigating the Alignment Tax of RLHF

Reference 55

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Observation f3329e82-015b-40b3-9bf7-15e0eca05a70 · outbound

This paper cites Bias unveiled: Investigating so- cial bias in llm-generated code.

A comprehensive taxonomy of hallucinations in Large Language Models Bias unveiled: Investigating so- cial bias in llm-generated code

Reference 56

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Observation 4fd93ea6-38c9-459f-b1e8-28b2789b23cc · outbound

This paper cites Exploring and evaluating hallucinations in llm-powered code generation.

A comprehensive taxonomy of hallucinations in Large Language Models Exploring and evaluating hallucinations in llm-powered code generation

Reference 57

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Source-reported events for the cited work

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Observation 02b8932a-1e18-4c97-89ce-ace2f2e300c9 · outbound

This paper cites Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment.

A comprehensive taxonomy of hallucinations in Large Language Models Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment

Reference 58

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Observation 5941cb25-0411-424c-a0d7-030ae582ce89 · outbound

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A comprehensive taxonomy of hallucinations in Large Language Models Maximum Hallucination Standards for Domain-Specific Large Language Models

Reference 59

Resolution: verified exact; local_arxiv, observed 2026-08-06T05:29:22.272062Z

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Observation 6327d050-fd10-433b-a5d7-1af6da9344c7 · outbound

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A comprehensive taxonomy of hallucinations in Large Language Models ” like having a really bad pa” the gulf between user expectation and experience of conversational agents

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-06T05:29:15.502202Z

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Observation 6c541ff5-1b16-4e88-8f8d-63d6393d803c · outbound

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A comprehensive taxonomy of hallucinations in Large Language Models A review of faithfulness metrics for hallucination assessment in large language models

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-06T05:29:15.564508Z

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Observation 17c5abf8-51ee-4655-b4e7-cca3889a5160 · outbound

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A comprehensive taxonomy of hallucinations in Large Language Models Coherence boosting: When your pretrained language model is not paying enough attention

Reference 62

Resolution: verified exact; local_arxiv, observed 2026-08-06T05:29:22.153110Z

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Observation 75b942e4-52d3-460d-b556-bb0d0c1c0141 · outbound

This paper cites The Neuro-Symbolic Concept Learner: Interpreting Scenes, Words, and Sentences From Natural Supervision.

A comprehensive taxonomy of hallucinations in Large Language Models The Neuro-Symbolic Concept Learner: Interpreting Scenes, Words, and Sentences From Natural Supervision

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-06T05:29:15.705195Z

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Observation 111c19da-c8eb-41ae-a533-0a03b12a7ae4 · outbound

This paper cites On Faithfulness and Factuality in Abstractive Summarization.

A comprehensive taxonomy of hallucinations in Large Language Models On Faithfulness and Factuality in Abstractive Summarization

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-06T05:29:15.828574Z

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Observation 132d8c42-1a71-48eb-b18c-60238f199276 · outbound

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A comprehensive taxonomy of hallucinations in Large Language Models Embracing the illusion of explanatory depth: a strategic framework for using iterative prompting for integrating large language models in health- care education

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-06T05:29:15.991292Z

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Observation 16b3a4eb-ac50-4a92-b6ea-af02de254e2f · outbound

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A comprehensive taxonomy of hallucinations in Large Language Models FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text Generation

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-06T05:29:16.160973Z

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Observation 0e2362a6-a1a7-42d2-ae6c-cddf6b9b229b · outbound

This paper cites Confirmation bias: A ubiquitous phenomenon in many guises.

A comprehensive taxonomy of hallucinations in Large Language Models Confirmation bias: A ubiquitous phenomenon in many guises

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-06T05:29:16.313873Z

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Observation dee33443-5d21-4ed5-a9a0-a2e47cd8220b · outbound

This paper cites Prevalence of hallucinations and their pathological associations in the general population.

A comprehensive taxonomy of hallucinations in Large Language Models Prevalence of hallucinations and their pathological associations in the general population

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-06T05:29:16.406666Z

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Observation 66d07b28-e716-4c1f-821b-dabc7a2d726e · outbound

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A comprehensive taxonomy of hallucinations in Large Language Models Benchmarking the confidence of large language models in answering clinical ques- tions: cross-sectional evaluation study

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:29:26.568432Z

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Observation 429c99c9-f261-4db6-9bc9-f61bd9ce9bdf · outbound

This paper cites LLMs Know More Than They Show: On the Intrinsic Representation of LLM Hallucinations.

A comprehensive taxonomy of hallucinations in Large Language Models LLMs Know More Than They Show: On the Intrinsic Representation of LLM Hallucinations

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-06T05:29:16.669125Z

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Observation e5016c19-0bc9-42c2-9dad-e60e9dc09108 · outbound

This paper cites Confirmation and specificity biases in large language models: An explorative study.

A comprehensive taxonomy of hallucinations in Large Language Models Confirmation and specificity biases in large language models: An explorative study

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:29:26.414553Z

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Observation 905e15c1-30d3-4ff5-83f5-824141d658bf · outbound

This paper cites To what extent have llms reshaped the legal domain so far? a scoping literature review.

A comprehensive taxonomy of hallucinations in Large Language Models To what extent have llms reshaped the legal domain so far? a scoping literature review

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:29:26.266004Z

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Observation 317746eb-5000-4797-a152-7c7eabbdc88e · outbound

This paper cites Med-HALT: Medical Domain Hallucination Test for Large Language Models.

A comprehensive taxonomy of hallucinations in Large Language Models Med-HALT: Medical Domain Hallucination Test for Large Language Models

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-06T05:29:17.082294Z

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Observation e18ba6a1-0946-4f75-8de4-93c2923e1f23 · outbound

This paper cites MedHallu: A Comprehensive Benchmark for Detecting Medical Hallucinations in Large Language Models.

A comprehensive taxonomy of hallucinations in Large Language Models MedHallu: A Comprehensive Benchmark for Detecting Medical Hallucinations in Large Language Models

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-06T05:29:17.220851Z

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Observation 208bdc53-621d-46ed-bf6a-2e25b5e2c1fb · outbound

This paper cites Bleu: a method for automatic evaluation of machine translation.

A comprehensive taxonomy of hallucinations in Large Language Models Bleu: a method for automatic evaluation of machine translation

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-06T05:29:17.314412Z

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Observation 81e0e3fd-f8c1-43b0-a5ed-f22ac891f5c6 · outbound

This paper cites Towards Enhancing Coherence in Extractive Summarization: Dataset and Experiments with LLMs.

A comprehensive taxonomy of hallucinations in Large Language Models Towards Enhancing Coherence in Extractive Summarization: Dataset and Experiments with LLMs

Reference 76

Resolution: verified exact; local_arxiv, observed 2026-08-06T05:29:21.925801Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 47899f1d-20f1-41e7-843c-abc9cb0784e1 · outbound

This paper cites KILT: a Benchmark for Knowledge Intensive Language Tasks.

A comprehensive taxonomy of hallucinations in Large Language Models KILT: a Benchmark for Knowledge Intensive Language Tasks

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-06T05:29:17.568390Z

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Observation e00f280f-0146-41f4-846c-6bb442865009 · outbound

This paper cites Mitigating exposure bias in large language model distillation: an imitation learning approach.

A comprehensive taxonomy of hallucinations in Large Language Models Mitigating exposure bias in large language model distillation: an imitation learning approach

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:29:26.112973Z

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Observation 993b0f18-9a9e-4bb6-b980-070fc2445e7d · outbound

This paper cites Reducing extrinsic hallucination in mul- timodal abstractive summaries with post-processing technique.

A comprehensive taxonomy of hallucinations in Large Language Models Reducing extrinsic hallucination in mul- timodal abstractive summaries with post-processing technique

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:29:25.902957Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8c8d4fee-9252-4360-ac29-1de444de3fc5 · outbound

This paper cites Effects of perceptual fluency on judgments of truth.

A comprehensive taxonomy of hallucinations in Large Language Models Effects of perceptual fluency on judgments of truth

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:29:25.753066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 480f5e69-c764-494a-a1d9-c24da19b53f4 · outbound

This paper cites Investigating the Factual Knowledge Boundary of Large Language Models with Retrieval Augmentation.

A comprehensive taxonomy of hallucinations in Large Language Models Investigating the Factual Knowledge Boundary of Large Language Models with Retrieval Augmentation

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-06T05:29:18.110515Z

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Observation 55b056c7-ee87-4000-ac46-34113915e771 · outbound

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A comprehensive taxonomy of hallucinations in Large Language Models The clinicians’ guide to large language mod- els: A general perspective with a focus on hallucinations

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:29:25.605432Z

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Observation e9bbea72-bc39-4fc3-867a-236d37f7614e · outbound

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A comprehensive taxonomy of hallucinations in Large Language Models The misunderstood limits of folk science: An illusion of explanatory depth

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:29:25.432007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3fb968a7-1be0-483a-bed7-46b51a930a3f · outbound

This paper cites ARES: An Automated Evaluation Framework for Retrieval-Augmented Generation Systems.

A comprehensive taxonomy of hallucinations in Large Language Models ARES: An Automated Evaluation Framework for Retrieval-Augmented Generation Systems

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-06T05:29:18.503174Z

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Observation 8852f650-b312-4267-bd3e-60c6040d575b · outbound

This paper cites Evaluating retrieval quality in retrieval-augmented generation.

A comprehensive taxonomy of hallucinations in Large Language Models Evaluating retrieval quality in retrieval-augmented generation

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:29:25.071886Z

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Observation 183cdba6-3775-4211-9057-a7daafdfd0d5 · outbound

This paper cites Toolformer: Lan- guage models can teach themselves to use tools.

A comprehensive taxonomy of hallucinations in Large Language Models Toolformer: Lan- guage models can teach themselves to use tools

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:29:24.974409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a0501270-448e-49d3-961a-0183e974b8b1 · outbound

This paper cites QuestEval: Summarization Asks for Fact-based Evaluation.

A comprehensive taxonomy of hallucinations in Large Language Models QuestEval: Summarization Asks for Fact-based Evaluation

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-06T05:29:18.923435Z

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Observation 0773f478-9512-4fd0-88fa-ba3ab9c759ba · outbound

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A comprehensive taxonomy of hallucinations in Large Language Models Towards a Systematic Evaluation of Hallucinations in Large-Vision Language Models

Reference 88

Resolution: verified exact; local_arxiv, observed 2026-08-06T05:29:21.728907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 16a5933a-ca6d-44c3-aa25-4a8d2b55095d · outbound

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A comprehensive taxonomy of hallucinations in Large Language Models Reflexion: Language agents with verbal reinforcement learning

Reference 89

Resolution: unresolved; no resolver link, observed 2026-08-06T05:29:19.180520Z

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Observation d374a8d3-5fab-4808-91fc-3ea564cbadf0 · outbound

This paper cites Retrieval Augmentation Reduces Hallucination in Conversation.

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Reference 90

Resolution: unresolved; no resolver link, observed 2026-08-06T05:29:19.299442Z

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Observation 871b0380-d563-4077-8d34-e7081ab52f93 · outbound

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Reference 91

Resolution: unresolved; no resolver link, observed 2026-08-06T05:29:19.446697Z

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Observation 41985ef0-1d00-49a1-8169-2f18452dffb7 · outbound

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Reference 92

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:29:24.771956Z

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Observation 01fca2ec-3bf6-4e02-8b22-b1ae25f6c454 · outbound

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A comprehensive taxonomy of hallucinations in Large Language Models Systematic Biases in LLM Simulations of Debates

Reference 93

Resolution: unresolved; no resolver link, observed 2026-08-06T05:29:19.695067Z

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Observation 3d568da2-75d9-408d-85a2-51858bc69928 · outbound

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Reference 94

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:29:24.602336Z

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Observation ea48080a-16e3-464b-b8c0-edb90208f1a6 · outbound

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Reference 95

Resolution: verified exact; local_arxiv, observed 2026-08-06T05:29:21.501973Z

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Observation 2d0af0a5-a67a-489a-9428-eaf84f6314dc · outbound

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Reference 96

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:29:24.458157Z

Source-reported events for the cited work

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Observation 027c2733-a6de-4e19-b0b2-cc995b089554 · outbound

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Reference 97

Resolution: unresolved; no resolver link, observed 2026-08-06T05:29:20.162727Z

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Observation fea20d36-6f5e-4b16-b9b2-a269d5d3d2d1 · outbound

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Reference 98

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:29:24.312130Z

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Observation 935b09e4-0305-4d31-b7ce-cf784eff5c55 · outbound

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Reference 99

Resolution: unresolved; no resolver link, observed 2026-08-06T05:29:20.296271Z

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Observation d40b711d-9c26-46af-85f1-11b39e3a73aa · outbound

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Resolution: unresolved; no resolver link, observed 2026-08-06T05:29:20.424814Z

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Observation b784b015-b656-4534-ba59-cec0750f341f · inbound

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b24fb2f9-fb9d-4eb3-ac42-2cdc3ca9a592 · inbound

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