Paper Citation Record · LEDGER

The HalluRAG Dataset: Detecting Closed-Domain Hallucinations in RAG Applications Using an LLM's Internal States

As of 12 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 3 inbound Pith citation observations for arXiv:2412.17056.

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

pith.paper-citation-record.v1
2412.17056 v2

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T05:53:13.032716Z

measured 29 of 29 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:19:07.300028Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T13:24:53.362077Z

Reference resolution

26 of 26 outbound references displayed

verified exact2
verified fuzzy7
unresolved17
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5ad4abf3-063e-4134-8dd8-f07283a49ed7 · outbound

This paper cites Do language models know when they're hallucinating references?, 2024.

The HalluRAG Dataset: Detecting Closed-Domain Hallucinations in RAG Applications Using an LLM's Internal States Do language models know when they're hallucinating references?, 2024

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:53:13.598669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 3abbe4cb-7791-4756-a726-a10aa5c64548 · outbound

This paper cites The internal state of an llm knows when it's lying, 2023.

The HalluRAG Dataset: Detecting Closed-Domain Hallucinations in RAG Applications Using an LLM's Internal States The internal state of an llm knows when it's lying, 2023

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:53:13.584198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 45c2283b-067b-4235-b505-d224a87197ba · outbound

This paper cites Inside: Llms' internal states retain the power of hallucination detection, 2024.

The HalluRAG Dataset: Detecting Closed-Domain Hallucinations in RAG Applications Using an LLM's Internal States Inside: Llms' internal states retain the power of hallucination detection, 2024

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-11T05:53:12.931911Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f78198d3-c76c-4197-bab6-d71b9ccfd152 · outbound

This paper cites Zero-resource Hallucination Detection for Text Generation via Graph-based Contextual Knowledge Triples Modeling.

The HalluRAG Dataset: Detecting Closed-Domain Hallucinations in RAG Applications Using an LLM's Internal States Zero-resource Hallucination Detection for Text Generation via Graph-based Contextual Knowledge Triples Modeling

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-08-11T05:53:13.377216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation cf05c42b-adbf-4c5b-8b5b-41a664e0de17 · outbound

This paper cites Chainpoll: A high efficacy method for LLM hallucination detection.

The HalluRAG Dataset: Detecting Closed-Domain Hallucinations in RAG Applications Using an LLM's Internal States Chainpoll: A high efficacy method for LLM hallucination detection

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-11T05:53:12.941638Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 73818756-4cef-4969-b15f-1d832a118f10 · outbound

This paper cites RefChecker: Reference-based Fine-grained Hallucination Checker and Benchmark for Large Language Models.

The HalluRAG Dataset: Detecting Closed-Domain Hallucinations in RAG Applications Using an LLM's Internal States RefChecker: Reference-based Fine-grained Hallucination Checker and Benchmark for Large Language Models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-11T05:53:12.946392Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 22cf4b19-5e81-4171-aed4-3469803d9fe0 · outbound

This paper cites an unresolved cited work.

The HalluRAG Dataset: Detecting Closed-Domain Hallucinations in RAG Applications Using an LLM's Internal States Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-08-11T05:53:13.560564Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 0dba82f8-0636-44fb-8e95-b1a48533acfe · outbound

This paper cites Language models (mostly) know what they know, 2022.

The HalluRAG Dataset: Detecting Closed-Domain Hallucinations in RAG Applications Using an LLM's Internal States Language models (mostly) know what they know, 2022

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-11T05:53:12.955992Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 66e22da1-e184-4824-9ec8-9322e62e6f8a · outbound

This paper cites Evaluating the Impact of Advanced LLM Techniques on AI-Lecture Tutors for a Robotics Course.

The HalluRAG Dataset: Detecting Closed-Domain Hallucinations in RAG Applications Using an LLM's Internal States Evaluating the Impact of Advanced LLM Techniques on AI-Lecture Tutors for a Robotics Course

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-08-11T05:53:13.327410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 9be455bf-7e2f-49d3-a0fd-2c5f06772ac2 · outbound

This paper cites Retrieval-augmented Generation to Improve Math Question-Answering: Trade-offs Between Groundedness and Human Preference.

The HalluRAG Dataset: Detecting Closed-Domain Hallucinations in RAG Applications Using an LLM's Internal States Retrieval-augmented Generation to Improve Math Question-Answering: Trade-offs Between Groundedness and Human Preference

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-11T05:53:12.964850Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0df63a5d-369d-4634-8c93-830b34ab0daf · outbound

This paper cites u ttler, Mike Lewis, Wen tau Yih, Tim Rockt \.

The HalluRAG Dataset: Detecting Closed-Domain Hallucinations in RAG Applications Using an LLM's Internal States u ttler, Mike Lewis, Wen tau Yih, Tim Rockt \

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:53:13.537566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 078f7a26-f8f4-436d-b37b-0e2f6850c126 · outbound

This paper cites Entity-based knowledge conflicts in question answering, 2022.

The HalluRAG Dataset: Detecting Closed-Domain Hallucinations in RAG Applications Using an LLM's Internal States Entity-based knowledge conflicts in question answering, 2022

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-11T05:53:12.973663Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6eb1f861-3c90-4546-b751-5780c4e1bd01 · outbound

This paper cites an unresolved cited work.

The HalluRAG Dataset: Detecting Closed-Domain Hallucinations in RAG Applications Using an LLM's Internal States Unresolved cited work

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-11T05:53:12.977753Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e1d46ae7-66d1-4b51-9103-ff50315d8aeb · outbound

This paper cites On faithfulness and factuality in abstractive summarization, 2020.

The HalluRAG Dataset: Detecting Closed-Domain Hallucinations in RAG Applications Using an LLM's Internal States On faithfulness and factuality in abstractive summarization, 2020

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-11T05:53:12.981811Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 04cb8503-0538-4a9e-b7ef-0c2ff08aeb7a · outbound

This paper cites an unresolved cited work.

The HalluRAG Dataset: Detecting Closed-Domain Hallucinations in RAG Applications Using an LLM's Internal States Unresolved cited work

Reference 15

Resolution: unresolved; raw_fallback, observed 2026-08-11T05:53:13.495068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation d65cfb54-de9e-4a92-815e-31847b1bc2e8 · outbound

This paper cites Language models are unsupervised multitask learners.

The HalluRAG Dataset: Detecting Closed-Domain Hallucinations in RAG Applications Using an LLM's Internal States Language models are unsupervised multitask learners

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-11T05:53:12.990034Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 91e01965-c8c1-4650-877b-fbd9a74478cf · outbound

This paper cites Retrieval augmentation reduces hallucination in conversation.

The HalluRAG Dataset: Detecting Closed-Domain Hallucinations in RAG Applications Using an LLM's Internal States Retrieval augmentation reduces hallucination in conversation

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-11T05:53:12.993833Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aaba9517-d5ee-408a-936e-ca34750fec32 · outbound

This paper cites Roformer: Enhanced transformer with rotary position embedding, 2023.

The HalluRAG Dataset: Detecting Closed-Domain Hallucinations in RAG Applications Using an LLM's Internal States Roformer: Enhanced transformer with rotary position embedding, 2023

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-11T05:53:12.997810Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 10609c09-bcd2-4369-afd6-2568e836b533 · outbound

This paper cites Unsupervised real-time hallucination detection based on the internal states of large language models, 2024.

The HalluRAG Dataset: Detecting Closed-Domain Hallucinations in RAG Applications Using an LLM's Internal States Unsupervised real-time hallucination detection based on the internal states of large language models, 2024

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:53:13.463590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 17ea4122-5bc7-4eb6-b878-443b7e4068ff · outbound

This paper cites Nomiracl: Knowing when you don't know for robust multilingual retrieval-augmented generation, 2024.

The HalluRAG Dataset: Detecting Closed-Domain Hallucinations in RAG Applications Using an LLM's Internal States Nomiracl: Knowing when you don't know for robust multilingual retrieval-augmented generation, 2024

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:53:13.448836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 5ccce113-ea41-43dc-81f3-8a5bc8f35219 · outbound

This paper cites Llama 2: Open foundation and fine-tuned chat models, 2023.

The HalluRAG Dataset: Detecting Closed-Domain Hallucinations in RAG Applications Using an LLM's Internal States Llama 2: Open foundation and fine-tuned chat models, 2023

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-11T05:53:13.011950Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 94440f5b-d49b-457e-99ab-74df02ececb9 · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models, 2023.

The HalluRAG Dataset: Detecting Closed-Domain Hallucinations in RAG Applications Using an LLM's Internal States Chain-of-thought prompting elicits reasoning in large language models, 2023

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-11T05:53:13.016137Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 51044f8c-c651-4324-a79a-5aeb7a57a258 · outbound

This paper cites Ragtruth: A hallucination corpus for developing trustworthy retrieval-augmented language models, 2023.

The HalluRAG Dataset: Detecting Closed-Domain Hallucinations in RAG Applications Using an LLM's Internal States Ragtruth: A hallucination corpus for developing trustworthy retrieval-augmented language models, 2023

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:53:13.415858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 01b6d649-5a70-4a95-be5b-ea63364dfaf1 · outbound

This paper cites Retrieval-augmented generation with knowledge graphs for customer service question answering.

The HalluRAG Dataset: Detecting Closed-Domain Hallucinations in RAG Applications Using an LLM's Internal States Retrieval-augmented generation with knowledge graphs for customer service question answering

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-11T05:53:13.024228Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ce200dfc-373b-4664-96b4-abcfd49be169 · outbound

This paper cites Root mean square layer normalization, 2019.

The HalluRAG Dataset: Detecting Closed-Domain Hallucinations in RAG Applications Using an LLM's Internal States Root mean square layer normalization, 2019

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-11T05:53:13.028510Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5c3d439d-d148-4ed4-a58a-e29c8fd25fac · outbound

This paper cites Siren's song in the ai ocean: A survey on hallucination in large language models, 2023.

The HalluRAG Dataset: Detecting Closed-Domain Hallucinations in RAG Applications Using an LLM's Internal States Siren's song in the ai ocean: A survey on hallucination in large language models, 2023

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:53:13.392235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Pith citing papers

Observation d7a6cb6f-a4a1-4c2a-ac1e-98225cfd701d · 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 The HalluRAG Dataset: Detecting Closed-Domain Hallucinations in RAG Applications Using an LLM's Internal States

Reference 165

Resolution: unresolved; no resolver link, observed 2026-08-07T10:19:07.300028Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f05b7c26-15b1-4a1d-b199-c77912262a76 · inbound

Decision Potential Surface: A Theoretical and Practical Approximation of Large Language Model Decision Boundary cites this paper.

Decision Potential Surface: A Theoretical and Practical Approximation of Large Language Model Decision Boundary The HalluRAG Dataset: Detecting Closed-Domain Hallucinations in RAG Applications Using an LLM's Internal States

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-22T13:24:53.364612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation f0a82a92-3ac4-49d3-800d-e5b46084199f · inbound

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

RAGognizer: Hallucination-Aware Fine-Tuning via Detection Head Integration The HalluRAG Dataset: Detecting Closed-Domain Hallucinations in RAG Applications Using an LLM's Internal States

Reference 29

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T08:43:02.017665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.