Paper Citation Record · LEDGER

RAGTruth: A Hallucination Corpus for Developing Trustworthy Retrieval-Augmented Language Models

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 31 inbound Pith citation observations for arXiv:2401.00396.

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

pith.paper-citation-record.v1
2401.00396 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 31 of 31 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 31 of 31 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:21:41.094530Z

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
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External citation measurements

6
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 b24c164d-a719-4512-bf9b-517db4dbcdcb · inbound

100% Elimination of Hallucinations on RAGTruth for GPT-4 and GPT-3.5 Turbo cites this paper.

100% Elimination of Hallucinations on RAGTruth for GPT-4 and GPT-3.5 Turbo RAGTruth: A Hallucination Corpus for Developing Trustworthy Retrieval-Augmented Language Models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-11T20:55:26.910959Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eaa4eb25-b919-49f3-8edb-6741a98cd4d8 · inbound

A Survey on Responsible LLMs: Inherent Risk, Malicious Use, and Mitigation Strategy cites this paper.

A Survey on Responsible LLMs: Inherent Risk, Malicious Use, and Mitigation Strategy RAGTruth: A Hallucination Corpus for Developing Trustworthy Retrieval-Augmented Language Models

Reference 217

Resolution: unresolved; no resolver link, observed 2026-08-10T20:05:12.710512Z

Source-reported events for the cited work

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Observation 5429c500-6f5d-4a05-b8f8-93909e93ebb0 · inbound

Enhancing RAG with Active Learning on Conversation Records: Reject Incapables and Answer Capables cites this paper.

Enhancing RAG with Active Learning on Conversation Records: Reject Incapables and Answer Capables RAGTruth: A Hallucination Corpus for Developing Trustworthy Retrieval-Augmented Language Models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T22:47:39.058314Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3f4ec9c6-a182-4d21-bbcd-ae0a47d84a1e · inbound

Hallucination Detection in LLMs with Topological Divergence on Attention Graphs cites this paper.

Hallucination Detection in LLMs with Topological Divergence on Attention Graphs RAGTruth: A Hallucination Corpus for Developing Trustworthy Retrieval-Augmented Language Models

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-22T20:55:08.258057Z

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 e84533f7-18de-4f18-879a-7329d967d645 · inbound

ORION Grounded in Context: Retrieval-Based Method for Hallucination Detection cites this paper.

ORION Grounded in Context: Retrieval-Based Method for Hallucination Detection RAGTruth: A Hallucination Corpus for Developing Trustworthy Retrieval-Augmented Language Models

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-16T11:21:41.094530Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 842d793b-537f-4819-8330-0e0f6a350acd · inbound

HalluMix: A Task-Agnostic, Multi-Domain Benchmark for Real-World Hallucination Detection cites this paper.

HalluMix: A Task-Agnostic, Multi-Domain Benchmark for Real-World Hallucination Detection RAGTruth: A Hallucination Corpus for Developing Trustworthy Retrieval-Augmented Language Models

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-16T04:43:52.650080Z

Source-reported events for the cited work

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Observation 566bbc6c-64cb-4dc2-8947-42846cb66c23 · inbound

Osiris: A Lightweight Open-Source Hallucination Detection System cites this paper.

Osiris: A Lightweight Open-Source Hallucination Detection System RAGTruth: A Hallucination Corpus for Developing Trustworthy Retrieval-Augmented Language Models

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-15T23:23:59.773756Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2afc853f-ccba-4a01-9b85-e0822050f523 · inbound

CogniBench: A Legal-inspired Framework and Dataset for Assessing Cognitive Faithfulness of Large Language Models cites this paper.

CogniBench: A Legal-inspired Framework and Dataset for Assessing Cognitive Faithfulness of Large Language Models RAGTruth: A Hallucination Corpus for Developing Trustworthy Retrieval-Augmented Language Models

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T13:53:11.395541Z

Source-reported events for the cited work

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Observation 90a072a1-032b-4ef6-88c0-f54356efc2aa · inbound

Data-efficient Meta-models for Evaluation of Context-based Questions and Answers in LLMs cites this paper.

Data-efficient Meta-models for Evaluation of Context-based Questions and Answers in LLMs RAGTruth: A Hallucination Corpus for Developing Trustworthy Retrieval-Augmented Language Models

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T12:52:39.754198Z

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Observation 67f8a7fc-2b5a-4a34-bf0c-0aede48d419f · inbound

Ask a Local: Detecting Hallucinations With Specialized Model Divergence cites this paper.

Ask a Local: Detecting Hallucinations With Specialized Model Divergence RAGTruth: A Hallucination Corpus for Developing Trustworthy Retrieval-Augmented Language Models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T11:08:37.949009Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f14d0f33-7ae8-41f4-ad49-806cdf33ef8c · inbound

When to Trust Context: Self-Reflective Debates for Context Reliability cites this paper.

When to Trust Context: Self-Reflective Debates for Context Reliability RAGTruth: A Hallucination Corpus for Developing Trustworthy Retrieval-Augmented Language Models

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T06:07:40.112866Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5bd0733c-425f-459f-a042-caaabb334476 · inbound

Beyond Facts: Evaluating Intent Hallucination in Large Language Models cites this paper.

Beyond Facts: Evaluating Intent Hallucination in Large Language Models RAGTruth: A Hallucination Corpus for Developing Trustworthy Retrieval-Augmented Language Models

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T05:59:44.496379Z

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Unavailable: canonical work link unavailable.

Observation 8fddbbad-9b59-453f-887d-975659db09b3 · inbound

Machine Assistant with Reliable Knowledge: Enhancing Student Learning via RAG-based Retrieval cites this paper.

Machine Assistant with Reliable Knowledge: Enhancing Student Learning via RAG-based Retrieval RAGTruth: A Hallucination Corpus for Developing Trustworthy Retrieval-Augmented Language Models

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-06T21:56:06.779540Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fffad687-30fb-4b93-84fb-559b1f232867 · 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 RAGTruth: A Hallucination Corpus for Developing Trustworthy Retrieval-Augmented Language Models

Reference 180

Resolution: unresolved; no resolver link, observed 2026-08-07T10:19:09.047206Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 455e0627-9722-4c53-bffa-d84c128a6dba · inbound

CCL-XCoT: An Efficient Cross-Lingual Knowledge Transfer Method for Mitigating Hallucination Generation cites this paper.

CCL-XCoT: An Efficient Cross-Lingual Knowledge Transfer Method for Mitigating Hallucination Generation RAGTruth: A Hallucination Corpus for Developing Trustworthy Retrieval-Augmented Language Models

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T16:36:25.816868Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a4f8bc8-07fc-4e45-a27c-04f584ef4ef8 · inbound

MIRAGE-Bench: LLM Agent is Hallucinating and Where to Find Them cites this paper.

MIRAGE-Bench: LLM Agent is Hallucinating and Where to Find Them RAGTruth: A Hallucination Corpus for Developing Trustworthy Retrieval-Augmented Language Models

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T13:06:38.332252Z

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Observation ad79d2c6-6943-484e-a4bb-8804f77bddb2 · inbound

GOSU: Retrieval-Augmented Generation with Global-Level Optimized Semantic Unit-Centric Framework cites this paper.

GOSU: Retrieval-Augmented Generation with Global-Level Optimized Semantic Unit-Centric Framework RAGTruth: A Hallucination Corpus for Developing Trustworthy Retrieval-Augmented Language Models

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-05T13:36:40.234516Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c2fd6b5-c803-4478-8d79-98971b50d2c9 · inbound

Beyond ROUGE: N-Gram Subspace Features for LLM Hallucination Detection cites this paper.

Beyond ROUGE: N-Gram Subspace Features for LLM Hallucination Detection RAGTruth: A Hallucination Corpus for Developing Trustworthy Retrieval-Augmented Language Models

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-05T10:50:32.463923Z

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Unavailable: canonical work link unavailable.

Observation cb246115-4eed-4b44-b3de-9c6c7a1234f2 · inbound

Query Expansion in the Age of Pre-trained and Large Language Models: A Comprehensive Survey cites this paper.

Query Expansion in the Age of Pre-trained and Large Language Models: A Comprehensive Survey RAGTruth: A Hallucination Corpus for Developing Trustworthy Retrieval-Augmented Language Models

Reference 79

Resolution: verified exact; arxiv_id, observed 2026-05-18T18:11:43.048442Z

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 b3196758-11a0-4880-9ab9-fa8da816b042 · inbound

Policy-Aware Edge LLM-RAG Framework for Internet of Battlefield Things Mission Orchestration cites this paper.

Policy-Aware Edge LLM-RAG Framework for Internet of Battlefield Things Mission Orchestration RAGTruth: A Hallucination Corpus for Developing Trustworthy Retrieval-Augmented Language Models

Reference 17

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T09:36:01.278007Z

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 df102974-93f0-42d9-9c78-4abf8bddeb1c · inbound

RAGognizer: Hallucination-Aware Fine-Tuning via Detection Head Integration cites this paper.

RAGognizer: Hallucination-Aware Fine-Tuning via Detection Head Integration RAGTruth: A Hallucination Corpus for Developing Trustworthy Retrieval-Augmented Language Models

Reference 7

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T08:43:01.966144Z

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 01c3f8a3-5262-4b46-abde-c66aaaf1f6b1 · inbound

Auditing Automated Evaluation, Error Propagation, and Runtime Mitigation in Tool-Using Language Agents cites this paper.

Auditing Automated Evaluation, Error Propagation, and Runtime Mitigation in Tool-Using Language Agents RAGTruth: A Hallucination Corpus for Developing Trustworthy Retrieval-Augmented Language Models

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-10T08:02:24.962158Z

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 27d1430b-bc94-4a0a-a5a3-6c0bc5973763 · inbound

Mixed response geometry and critical crossover in the Ising model cites this paper.

Mixed response geometry and critical crossover in the Ising model RAGTruth: A Hallucination Corpus for Developing Trustworthy Retrieval-Augmented Language Models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-07-12T19:18:49.672005Z

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Observation 5f074741-9abc-49fd-bf22-afdd6350a929 · inbound

Evaluating Retrieval-Augmented Generation for Explainable Malware Analysis cites this paper.

Evaluating Retrieval-Augmented Generation for Explainable Malware Analysis RAGTruth: A Hallucination Corpus for Developing Trustworthy Retrieval-Augmented Language Models

Reference 21

Resolution: metadata mismatch; arxiv_id, observed 2026-05-09T06:30:45.172369Z

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 65e2cded-2ad3-43b2-bf96-afde44fae299 · inbound

REALISTA: Realistic Latent Adversarial Attacks that Elicit LLM Hallucinations cites this paper.

REALISTA: Realistic Latent Adversarial Attacks that Elicit LLM Hallucinations RAGTruth: A Hallucination Corpus for Developing Trustworthy Retrieval-Augmented Language Models

Reference 176

Resolution: metadata mismatch; arxiv_id, observed 2026-05-14T20:17:56.536376Z

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 9044ab24-cbd0-4709-a46d-8e8fe0ef425f · inbound

The Attribution Blind Spot: Detecting When Language Models Rely on Memory Rather Than Retrieved Context cites this paper.

The Attribution Blind Spot: Detecting When Language Models Rely on Memory Rather Than Retrieved Context RAGTruth: A Hallucination Corpus for Developing Trustworthy Retrieval-Augmented Language Models

Reference 2

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T18:03:48.451682Z

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 ef783e78-313b-40a7-b8ef-5ff46d35115a · inbound

Grounded Cache Routing for Retrieval-Augmented Generation: When Is It Safe to Reuse an Answer? cites this paper.

Grounded Cache Routing for Retrieval-Augmented Generation: When Is It Safe to Reuse an Answer? RAGTruth: A Hallucination Corpus for Developing Trustworthy Retrieval-Augmented Language Models

Reference 24

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T17:23:45.138663Z

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 bae26a42-9f84-4abf-b4a2-934be327b2f8 · inbound

ConflictScore: Identifying and Measuring How Language Models Handle Conflicting Evidence cites this paper.

ConflictScore: Identifying and Measuring How Language Models Handle Conflicting Evidence RAGTruth: A Hallucination Corpus for Developing Trustworthy Retrieval-Augmented Language Models

Reference 6

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T15:49:58.066274Z

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 fd4f4342-2bde-4585-bdc8-e2e8f4776e0a · inbound

Always-OnAgents:A Survey of Persistent Memory, State, and Governance in LLMAgents cites this paper.

Always-OnAgents:A Survey of Persistent Memory, State, and Governance in LLMAgents RAGTruth: A Hallucination Corpus for Developing Trustworthy Retrieval-Augmented Language Models

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-07-01T15:15:48.395551Z

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

Observation 058ef150-ee54-4e0c-94ac-da30a4c1205c · inbound

Knowledge Base Poisoning Attacks and Defense for Policy-Aware LLM-RAG Framework cites this paper.

Knowledge Base Poisoning Attacks and Defense for Policy-Aware LLM-RAG Framework RAGTruth: A Hallucination Corpus for Developing Trustworthy Retrieval-Augmented Language Models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-07-11T19:36:56.818416Z

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Unavailable: canonical work link unavailable.

Observation 63b30c6a-cc2f-46c1-8764-a0da85c4e3cb · inbound

Eval-Pair Matrix: Answer-Paired Meta-Evaluation of LLM Judges for Grounded RAG cites this paper.

Eval-Pair Matrix: Answer-Paired Meta-Evaluation of LLM Judges for Grounded RAG RAGTruth: A Hallucination Corpus for Developing Trustworthy Retrieval-Augmented Language Models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-07-14T10:22:55.558755Z

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Unavailable: canonical work link unavailable.