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Paper Citation Record · LEDGER

Beyond Facts: Evaluating Intent Hallucination in Large Language Models

As of 15 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:2506.06539.

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

pith.paper-citation-record.v1
2506.06539 v1

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:59:45.148904Z

measured 33 of 33 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

33 of 33 outbound references displayed

  • verified exact3
  • verified fuzzy0
  • unresolved30
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7486e26c-2f03-451b-b57d-fc3cdaf1ab93 · outbound

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

Beyond Facts: Evaluating Intent Hallucination in Large Language Models The Internal State of an LLM Knows When It's Lying

Reference 1

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source=arxiv_source observed=2026-08-07T05:59:42.983678Z digest=sha256:a3f8b2f09b87994706d9ab8a6de40ce5f3cc810b62f39a5e0a18257e94937b14

Observation af59f1e0-b7bf-40b0-b518-e7dd09bc33fa · outbound

This paper cites an unresolved cited work.

Beyond Facts: Evaluating Intent Hallucination in Large Language Models Unresolved cited work

Reference 2

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doi, observed 2026-08-07T05:59:45.205301Z

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=arxiv_source observed=2026-08-07T05:59:43.082483Z digest=sha256:e482305d5bd4319445ecf14883b14ab95a74a53c85205a880c417862f70b5f22

Observation 1dbc5d44-9024-428c-b333-cbc9696dcf43 · outbound

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

Beyond Facts: Evaluating Intent Hallucination in Large Language Models Hallucinated but Factual! Inspecting the Factuality of Hallucinations in Abstractive Summarization

Reference 3

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source=arxiv_source observed=2026-08-07T05:59:43.157123Z digest=sha256:8ee06fe36fb63ab1fc9a793942c5e73f228c5578dcd379768e8db7f2e1c9c70b

Observation 813cdce5-ddb9-4dbc-b57a-58910839ddd6 · outbound

This paper cites FELM: Benchmarking Factuality Evaluation of Large Language Models.

Beyond Facts: Evaluating Intent Hallucination in Large Language Models FELM: Benchmarking Factuality Evaluation of Large Language Models

Reference 4

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source=arxiv_source observed=2026-08-07T05:59:43.265833Z digest=sha256:85476f9575cad12e2be85d4739b0edf83d6ca338281cfa0ba59c86ce02f28a98

Observation 499c3ed1-298b-4b73-94ea-c1839f07e23d · outbound

This paper cites The Llama 3 Herd of Models.

Beyond Facts: Evaluating Intent Hallucination in Large Language Models The Llama 3 Herd of Models

Reference 5

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source=arxiv_source observed=2026-08-07T05:59:43.349807Z digest=sha256:2e8918200d7a1ddab97aba54683df5cbb99d7e3d0dd073331144f5dd70d3d1a4

Observation 6e4690cb-73dd-4714-b550-5d69ac0a0a28 · outbound

This paper cites an unresolved cited work.

Beyond Facts: Evaluating Intent Hallucination in Large Language Models Unresolved cited work

Reference 6

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raw_fallback, observed 2026-08-07T05:59:45.489654Z

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=arxiv_source observed=2026-08-07T05:59:43.437293Z digest=sha256:06ad64b4de756fa364f7ab0a871444ae4937cd4cd487a426b07dfd0d0f5c44a8

Observation 3f9ba1b7-4bfe-4f8a-9dcd-48e09c598241 · outbound

This paper cites A Probabilistic Framework for LLM Hallucination Detection via Belief Tree Propagation.

Beyond Facts: Evaluating Intent Hallucination in Large Language Models A Probabilistic Framework for LLM Hallucination Detection via Belief Tree Propagation

Reference 7

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:59:43.526747Z digest=sha256:023147253a707f6e12ff5cb0b7565f823dbaa3a872a432592c0aacd7e53a899d

Observation d8fb3b0e-2f69-45e2-87a2-1b974f8a7ff3 · outbound

This paper cites A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions.

Beyond Facts: Evaluating Intent Hallucination in Large Language Models A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions

Reference 8

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source=arxiv_source observed=2026-08-07T05:59:43.609322Z digest=sha256:8ec43e5bb7b7825591161f05ecb09b75573a008d15ffc197d05373c9dd0b98d5

Observation 8df5f450-380c-4a56-9db7-3af207d7fac4 · outbound

This paper cites an unresolved cited work.

Beyond Facts: Evaluating Intent Hallucination in Large Language Models Unresolved cited work

Reference 9

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source=arxiv_source observed=2026-08-07T05:59:43.689890Z digest=sha256:5deebd750210b926f32e3c7922d4ad8ba929d1b43fa4b913855bfefe0558d347

Observation 1a17cd4e-0354-45da-91eb-e25eb0a49620 · outbound

This paper cites Mistral 7B.

Beyond Facts: Evaluating Intent Hallucination in Large Language Models Mistral 7B

Reference 10

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source=arxiv_source observed=2026-08-07T05:59:43.753431Z digest=sha256:923da5cb87982cab3635241e9c3be88232c1023697759a9eb64eb87faaa8a6c7

Observation 5d24f450-98f6-456e-a2c3-66500b910799 · outbound

This paper cites an unresolved cited work.

Beyond Facts: Evaluating Intent Hallucination in Large Language Models Unresolved cited work

Reference 11

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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.

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Observation c0594533-16f9-4a33-a6a3-fb39606e34e9 · outbound

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

Beyond Facts: Evaluating Intent Hallucination in Large Language Models HaluEval: A Large-Scale Hallucination Evaluation Benchmark for Large Language Models

Reference 12

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source=arxiv_source observed=2026-08-07T05:59:43.915918Z digest=sha256:87c65f06863407f64e385e2f85a5406a0b545c9969f0d7786669b65b075cbdae

Observation 0da7d885-f47c-4439-8a21-4a6f2d24ae8b · outbound

This paper cites Lost in the Middle: How Language Models Use Long Contexts.

Beyond Facts: Evaluating Intent Hallucination in Large Language Models Lost in the Middle: How Language Models Use Long Contexts

Reference 13

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Observation 0222f3b5-73e5-4915-b6a1-0b85358da39b · outbound

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

Beyond Facts: Evaluating Intent Hallucination in Large Language Models SelfCheckGPT: Zero-Resource Black-Box Hallucination Detection for Generative Large Language Models

Reference 14

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source=arxiv_source observed=2026-08-07T05:59:44.062538Z digest=sha256:4427ea90ca8269c471b894258b7002998fa0fe64f17919b59f0bf243bfeeacc7

Observation 5138a1cf-6e21-4d72-9246-c9e9298dabf4 · outbound

This paper cites FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text Generation.

Beyond Facts: Evaluating Intent Hallucination in Large Language Models FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text Generation

Reference 15

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source=arxiv_source observed=2026-08-07T05:59:44.143311Z digest=sha256:4e86118571b7211d754bd7d51c79af14a2da4fe9e7c5d3fb81376a65869864ad

Observation 081ff96c-3773-4096-bb1d-ecc99865d9b1 · outbound

This paper cites FaithEval: Can Your Language Model Stay Faithful to Context, Even If "The Moon is Made of Marshmallows".

Beyond Facts: Evaluating Intent Hallucination in Large Language Models FaithEval: Can Your Language Model Stay Faithful to Context, Even If "The Moon is Made of Marshmallows"

Reference 16

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no resolver link, observed 2026-08-07T05:59:44.232248Z

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source=arxiv_source observed=2026-08-07T05:59:44.232248Z digest=sha256:f3a1dc69466a17fe547dc53e339cc4750d9d4f088da956dfb22a965e6c1a1e2d

Observation b6bb0d91-3f18-49f6-ae84-35f6e2313de8 · outbound

This paper cites Fine-grained Hallucination Detection and Editing for Language Models.

Beyond Facts: Evaluating Intent Hallucination in Large Language Models Fine-grained Hallucination Detection and Editing for Language Models

Reference 17

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no resolver link, observed 2026-08-07T05:59:44.316066Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:59:44.316066Z digest=sha256:7bbd1939c1e9383a04d2b3cccaa9c78767e92d99c87666fbc02bdfb8a8575529

Observation 68a25084-bb5a-4f50-ad2d-6a5e45d3ab3e · outbound

This paper cites Self-contradictory Hallucinations of Large Language Models: Evaluation, Detection and Mitigation.

Beyond Facts: Evaluating Intent Hallucination in Large Language Models Self-contradictory Hallucinations of Large Language Models: Evaluation, Detection and Mitigation

Reference 18

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

This paper cites RAGTruth: A Hallucination Corpus for Developing Trustworthy Retrieval-Augmented Language Models.

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

Reference 19

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source=arxiv_source observed=2026-08-07T05:59:44.496379Z digest=sha256:bfb456e3e25f9475854aecf21a4815f4108e658cd83d75e0dba54a2fd8df0f58

Observation f4114e0e-2579-4684-8d30-7ed1de508f8c · outbound

This paper cites GPT-4 Technical Report.

Beyond Facts: Evaluating Intent Hallucination in Large Language Models GPT-4 Technical Report

Reference 20

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source=arxiv_source observed=2026-08-07T05:59:44.596701Z digest=sha256:f043c50db96895882bb861c268023ed7a6e3ff98618700e5d0a17b676f8531fb

Observation e5a595aa-45dd-4311-94fb-a2086e0d5151 · outbound

This paper cites an unresolved cited work.

Beyond Facts: Evaluating Intent Hallucination in Large Language Models Unresolved cited work

Reference 21

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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.

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Observation 0ffed680-fcb8-4413-9c16-0d51fb04d1fe · outbound

This paper cites InFoBench: Evaluating Instruction Following Ability in Large Language Models.

Beyond Facts: Evaluating Intent Hallucination in Large Language Models InFoBench: Evaluating Instruction Following Ability in Large Language Models

Reference 22

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Observation 311cca00-19e7-49ed-bf4a-75059a34d13d · outbound

This paper cites an unresolved cited work.

Beyond Facts: Evaluating Intent Hallucination in Large Language Models Unresolved cited work

Reference 23

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source=arxiv_source observed=2026-08-07T05:59:44.636835Z digest=sha256:d628f03cc518b9441f9c13d05758a1ce7a78ef429a4b8c3dc6fcc0c4a6572e71

Observation 7a078d58-06a7-4aa2-a52b-726e26932c19 · outbound

This paper cites an unresolved cited work.

Beyond Facts: Evaluating Intent Hallucination in Large Language Models Unresolved cited work

Reference 24

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

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Observation d4105d1c-af86-41ff-8019-40790cbf07e6 · outbound

This paper cites an unresolved cited work.

Beyond Facts: Evaluating Intent Hallucination in Large Language Models Unresolved cited work

Reference 25

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raw_fallback, observed 2026-08-07T05:59:45.454240Z

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=arxiv_source observed=2026-08-07T05:59:44.792899Z digest=sha256:dd5587be9c20413dd308b409001f5892a7e6ce3554d9a9782cd37741c8697748

Observation fde1dadf-855e-4a20-812c-122b094b1697 · outbound

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

Beyond Facts: Evaluating Intent Hallucination in Large Language Models Self-Consistency Improves Chain of Thought Reasoning in Language Models

Reference 26

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Unavailable: canonical work link unavailable.

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Observation 9dfa9af7-d6d7-47d1-9e3f-5227d320b560 · outbound

This paper cites Pandora's Box or Aladdin's Lamp: A Comprehensive Analysis Revealing the Role of RAG Noise in Large Language Models.

Beyond Facts: Evaluating Intent Hallucination in Large Language Models Pandora's Box or Aladdin's Lamp: A Comprehensive Analysis Revealing the Role of RAG Noise in Large Language Models

Reference 27

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:59:44.927584Z digest=sha256:330a399ffe2d8d0724232f779e4ceed8d4241f30e36fbf154552251bdfb6dc44

Observation a4cd64f7-23be-4921-8194-0b4bb2f2d5d7 · outbound

This paper cites A New Benchmark and Reverse Validation Method for Passage-level Hallucination Detection.

Beyond Facts: Evaluating Intent Hallucination in Large Language Models A New Benchmark and Reverse Validation Method for Passage-level Hallucination Detection

Reference 28

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verified exact
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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=arxiv_source observed=2026-08-07T05:59:45.006815Z digest=sha256:a2147a9f9316924d6af80834f46865ea18d80157cad02e2eb0db62bf98b64b06

Observation 08d569c9-c2eb-4d08-b6ff-f8ce7a503eca · outbound

This paper cites KnowHalu: Hallucination Detection via Multi-Form Knowledge Based Factual Checking.

Beyond Facts: Evaluating Intent Hallucination in Large Language Models KnowHalu: Hallucination Detection via Multi-Form Knowledge Based Factual Checking

Reference 29

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:59:45.064636Z digest=sha256:947702eb7d39f091d59236e0af79b561b5c550194dd9f996143bc3b630cabee6

Observation 575a9984-3e2b-4e9e-8587-5e55ee9de3d1 · outbound

This paper cites Knowledge Overshadowing Causes Amalgamated Hallucination in Large Language Models.

Beyond Facts: Evaluating Intent Hallucination in Large Language Models Knowledge Overshadowing Causes Amalgamated Hallucination in Large Language Models

Reference 30

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:59:45.106922Z digest=sha256:39f7f41d6a8c5c018d53d54b0b8096f3b816c3b70a50740805d00c358b1d58bf

Observation 8408cbb2-990f-4293-9580-a39ebf4322b3 · outbound

This paper cites LIMA: Less Is More for Alignment.

Beyond Facts: Evaluating Intent Hallucination in Large Language Models LIMA: Less Is More for Alignment

Reference 31

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Observation 4ae2b51f-ad35-4259-ae3c-6f8a2175515f · outbound

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Beyond Facts: Evaluating Intent Hallucination in Large Language Models online" 'onlinestring :=

Reference 32

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source=arxiv_source observed=2026-08-07T05:59:45.145255Z digest=sha256:ed3336e032c7bb7a023b2287837064e248ba6a5937ccd6852f0870bf0b71579e

Observation c3eeb918-408b-422b-8dae-8a61df6d960c · outbound

This paper cites write newline.

Beyond Facts: Evaluating Intent Hallucination in Large Language Models write newline

Reference 33

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source=arxiv_source observed=2026-08-07T05:59:45.148904Z digest=sha256:06931d49fba332d9e82b513906bcf014892da64ccb0a7facf2ad6b9feedbfd93

Pith citing papers

No inbound Pith citation observations are available.