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Paper Citation Record · LEDGER

Beyond Facts: Evaluating Intent Hallucination in Large Language Models

As of 7 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 2026-08-07T06:34:17.273281+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-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:59:42.983678Z digest=sha256:74fceda5f1927c878d6511d1c241a7b7c8de273ba5622eb5c1cdecfca2c49572

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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verified exact
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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T05:59:43.082483Z digest=sha256:584f16f3cd87e101643d94c403be5a6195f2cd2a4f162f1b3582415309926d30

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:f83dc4260f96413a3a18ffd0657f496a1f34c932e7422c72064488cadb53e5b0

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:59:43.265833Z digest=sha256:3af1b8e7df797aaff436e577ffe56dabada0819aaea7459579e23a67c20327b1

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:59:43.349807Z digest=sha256:d0ee448fce5143240502e53578e82341a97d6356fd7da4aface908bb3baf57bb

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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unresolved
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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T05:59:43.437293Z digest=sha256:0b22ac7a660c216fb2716f31eb76a8014aea57da9fdd26f115ab9234afd584a0

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:d6ba3a14841ae54ae2c7b9aa24949bfde8872c6f02187438161af83842b5ec00

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=sha256:73ae38f40c9c1de8079e01ab5826a79c61c1e010dbfe01b430554064d28dd74f

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=sha256:72d485cedaaf8dc11ae6ddaab09d7a10baa2fbcf230b838c79ea5c8f37965d99

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=sha256:002f815d11223f31d14fa9ccc7d1603652efb5d632bcb261d0f47005f50f8936

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 2026-08-07T06:34:17.273281+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=sha256:6f55a4f4eb5dd66a66f2749fdb2cbe233cc9eb975371fb47020b0e8f72be39d2

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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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=sha256:08b352f187581ffbb10b83931ccfe2cee432491f510626fe38447d977d5ed1b5

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=sha256:39c19c67396ad7695aaaa7e00c8c01ba18b81e2583bb0fa6af5c8f8dad3be09c

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:d34cb47d784f6ce09e15024b591468e4983c89078b93ca0481bcee80dc1e2a64

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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source=arxiv_source observed=2026-08-07T05:59:44.405689Z digest=sha256:5ae4b0a1a3d406f141435fb6f5228e16101a8a1c739eb299c8bb8a1000914f5b

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:bd525f898fbfc339a36a790ab5f7c5cc31379810eee5d05b8105070e8fa393b2

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-reported events for the cited work

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source=arxiv_source observed=2026-08-07T05:59:44.596701Z digest=sha256:1261e44a0028a5334aa93f973aa58c6f1d19f3ab85ad6062cd2f4d9da9ba777c

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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raw_fallback, observed 2026-08-07T05:59:45.466966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+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:f4083ccb3017b801563645ca60dd008a1efc191abf79733c6b7a8bd3c2ba0590

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

Resolution
verified exact
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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+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

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T05:59:44.792899Z digest=sha256:7dd1f5aff64caba2f3f3bd04374e60471d2f87d7c4a395ffa73005cc98a21e14

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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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=sha256:538e15a73f6e9676ae67f1346cc165482850cd74279072cbcfdeb8ae21bb8986

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T05:59:45.006815Z digest=sha256:10f7c2c931da32c4d732a024de82a3fd7c93b39bc181f252667e259c66bfad6e

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:59:45.064636Z digest=sha256:f772af42ffdab6d333f3f9d8e4cb0bed5d9ad52347fb78f263d90b82fa7b642f

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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source=arxiv_source observed=2026-08-07T05:59:45.106922Z digest=sha256:a272dde9089fd60fb291cc891bf2446fa22881dfbebc4490abb03692a7253b3f

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:59:45.140074Z digest=sha256:96446d41334bc0df05edfee4a5d747b686b2256e4fd5f1d65dca9fed6535814b

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

This paper cites online" 'onlinestring :=.

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

Reference 32

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:59:45.145255Z digest=sha256:65ef29ebea482000652273571866fc410fb5e88c43eb5ff7ed96a579d84ef15e

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=sha256:5f0da12400670f2fedff7ce472af9a92f5e63d6d115587dd43a5d43c0eeb46b6

Pith citing papers

No inbound Pith citation observations are available.