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Paper Citation Record · LEDGER

Can LLM-Generated Misinformation Be Detected?

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 25 inbound Pith citation observations for arXiv:2309.13788.

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

pith.paper-citation-record.v1
2309.13788 v5

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 25 of 25 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 25 of 25 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:17:07.136572Z

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

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External citation measurements

37
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 7fb26bd2-1d55-47f6-9077-fee254e45cdf · inbound

Evaluating LLMs Capabilities Towards Understanding Social Dynamics cites this paper.

Evaluating LLMs Capabilities Towards Understanding Social Dynamics Can LLM-Generated Misinformation Be Detected?

Reference 7

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no resolver link, observed 2026-08-12T16:59:41.528189Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T16:59:41.528189Z digest=sha256:8230c11c0803ea4d8ee47034e081947bf700058db55caa1f1dfa20cbb03041ab

Observation b4fe6661-bcf5-4082-b625-8749c80a74c5 · inbound

Understanding the Dark Side of LLMs' Intrinsic Self-Correction cites this paper.

Understanding the Dark Side of LLMs' Intrinsic Self-Correction Can LLM-Generated Misinformation Be Detected?

Reference 8

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no resolver link, observed 2026-08-11T11:50:54.973096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:50:54.973096Z digest=sha256:2025c79f45b72bb8985f9afdbd250619afd4d591bb97c80329d0499d30be087f

Observation 8301f813-6886-4ea2-9c42-3e8c0553dc3f · inbound

Neuron-Level Differentiation of Memorization and Generalization in Large Language Models cites this paper.

Neuron-Level Differentiation of Memorization and Generalization in Large Language Models Can LLM-Generated Misinformation Be Detected?

Reference 5

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unresolved
no resolver link, observed 2026-08-11T04:46:40.145126Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T04:46:40.145126Z digest=sha256:54369fbcb874091b3b53696b0c1111c29318b59f2ff575bf8780a03928b6a829

Observation 087a0014-2e97-4466-9c8b-600f6881ab33 · inbound

A Method for Enhancing the Safety of Large Model Generation Based on Multi-dimensional Attack and Defense cites this paper.

A Method for Enhancing the Safety of Large Model Generation Based on Multi-dimensional Attack and Defense Can LLM-Generated Misinformation Be Detected?

Reference 2

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unresolved
no resolver link, observed 2026-08-10T22:53:20.372871Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:53:20.372871Z digest=sha256:46538fb368c0db9d0250127e0a255f83f76ec8c2e18d665d42a275a592f5c8e2

Observation 3fcb4cf4-3f7e-4eba-a292-cf064892d9bd · inbound

Enhancing LLMs for Governance with Human Oversight: Evaluating and Aligning LLMs on Expert Classification of Climate Misinformation for Detecting False or Misleading Claims about Climate Change cites this paper.

Enhancing LLMs for Governance with Human Oversight: Evaluating and Aligning LLMs on Expert Classification of Climate Misinformation for Detecting False or Misleading Claims about Climate Change Can LLM-Generated Misinformation Be Detected?

Reference 28

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no resolver link, observed 2026-08-10T15:39:33.202645Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:39:33.202645Z digest=sha256:fecc5e06d3813c26cde8a52b606de40a40fa183604f2148ccf855f8502485584

Observation f5beb339-04e4-49b8-8ac0-1059c759aecf · inbound

Fake News Detection After LLM Laundering: Measurement and Explanation cites this paper.

Fake News Detection After LLM Laundering: Measurement and Explanation Can LLM-Generated Misinformation Be Detected?

Reference 15

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no resolver link, observed 2026-08-10T04:36:03.689428Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T04:36:03.689428Z digest=sha256:74059045344f957fce4f2d47c8a4f18ec90326b5238fe9282a4339c3d314f490

Observation bb615f10-f5fe-4d19-8ec5-72a30ef0b3f3 · inbound

Enhancing Health Information Retrieval with RAG by Prioritizing Topical Relevance and Factual Accuracy cites this paper.

Enhancing Health Information Retrieval with RAG by Prioritizing Topical Relevance and Factual Accuracy Can LLM-Generated Misinformation Be Detected?

Reference 35

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no resolver link, observed 2026-08-08T21:59:59.257018Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T21:59:59.257018Z digest=sha256:afd8bed205753a96b957e434441ed81042e23907f8fdc0e024e198d161d67d0f

Observation 4e11a20c-13d9-497c-a289-773f62e206fa · inbound

Concept-Level Explainability for Auditing & Steering LLM Responses cites this paper.

Concept-Level Explainability for Auditing & Steering LLM Responses Can LLM-Generated Misinformation Be Detected?

Reference 10

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no resolver link, observed 2026-08-15T22:17:07.136572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:17:07.136572Z digest=sha256:cd7a7ca71c45d334ade32f2f927583e97e5a229dcdbc942da3a0a798bd515b7d

Observation e4ab8b1c-717f-4946-ac74-c1ee3620078c · inbound

Sword and Shield: Uses and Strategies of LLMs in Navigating Disinformation cites this paper.

Sword and Shield: Uses and Strategies of LLMs in Navigating Disinformation Can LLM-Generated Misinformation Be Detected?

Reference 17

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no resolver link, observed 2026-08-07T05:42:43.545639Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:42:43.545639Z digest=sha256:bc8f3e8620e4600600f109e39bc01c23a689e4c01442f434db8ada95cd218c26

Observation 5bb2a0b7-981e-4682-be3a-a7a1a2ae53f7 · inbound

The Compositional Architecture of Regret in Large Language Models cites this paper.

The Compositional Architecture of Regret in Large Language Models Can LLM-Generated Misinformation Be Detected?

Reference 43

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no resolver link, observed 2026-08-06T23:59:49.341360Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:59:49.341360Z digest=sha256:ba03e03d68aba46f011cc3904ea0e6a5bc7fadd4615091cb7841a3c34e13479f

Observation cb1f3bda-1651-4edb-8891-28548da43c6c · inbound

Invariant-based Robust Weights Watermark for Large Language Models cites this paper.

Invariant-based Robust Weights Watermark for Large Language Models Can LLM-Generated Misinformation Be Detected?

Reference 9

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no resolver link, observed 2026-08-06T18:33:04.694542Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:33:04.694542Z digest=sha256:deff11fa16cb4d9b81de9a12a1bd2915f6366ca830296294bfb14f3e18217aff

Observation ecdbe064-99b7-4a4f-bee2-2b36422f95c6 · inbound

Are Today's LLMs Ready to Explain Well-Being Concepts? cites this paper.

Are Today's LLMs Ready to Explain Well-Being Concepts? Can LLM-Generated Misinformation Be Detected?

Reference 6

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no resolver link, observed 2026-08-06T01:02:49.084087Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T01:02:49.084087Z digest=sha256:d76e9269e3a831d53986f1c94329853ec99ffec9477915bc0e77ad65a5bc996a

Observation fe24674d-b376-4e17-90f6-f5164be4ba30 · inbound

An Audit and Analysis of LLM-Assisted Health Misinformation Jailbreaks Against LLMs cites this paper.

An Audit and Analysis of LLM-Assisted Health Misinformation Jailbreaks Against LLMs Can LLM-Generated Misinformation Be Detected?

Reference 8

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no resolver link, observed 2026-08-06T01:02:13.360157Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T01:02:13.360157Z digest=sha256:269423843d072060bb9dbbfbb537dd90687b357f4f03711ceb0f54b235d4f355

Observation b801904c-ad3b-411d-a6be-0c0020136c3e · inbound

Embodied AI: Emerging Risks and Opportunities for Policy Action cites this paper.

Embodied AI: Emerging Risks and Opportunities for Policy Action Can LLM-Generated Misinformation Be Detected?

Reference 81

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unresolved
no resolver link, observed 2026-08-05T14:37:25.713968Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:37:25.713968Z digest=sha256:7a83d280ef184c79071681c65eb7e2f625a061fc7e5f7c399d675725517e8f19

Observation 0f643a93-eb53-4977-97c7-2199877dca37 · inbound

AI-Generated Content in Cross-Domain Applications: Research Trends, Challenges and Propositions cites this paper.

AI-Generated Content in Cross-Domain Applications: Research Trends, Challenges and Propositions Can LLM-Generated Misinformation Be Detected?

Reference 27

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no resolver link, observed 2026-08-04T17:04:33.527605Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:04:33.527605Z digest=sha256:4c5b003e88545759698ec89c1dce11651c000cbf2d5563de3833103b5f634797

Observation 9249476e-943a-48bd-9bfd-d23ac30ef04d · inbound

Fast segmentation of watermarked texts from large language models through an epidemic change-point framework cites this paper.

Fast segmentation of watermarked texts from large language models through an epidemic change-point framework Can LLM-Generated Misinformation Be Detected?

Reference 10

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unresolved
no resolver link, observed 2026-08-15T15:55:29.306486Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T15:55:29.306486Z digest=sha256:a9a51be34aa5a779b76b0abf4547cd32b9526ecaca9ed5e8956742c76bb2219c

Observation 82c9daf8-d3d6-4282-b972-9761a2bdfa6e · inbound

Tailored untruths: How personalisation challenges LLM safeguards cites this paper.

Tailored untruths: How personalisation challenges LLM safeguards Can LLM-Generated Misinformation Be Detected?

Reference 8

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unresolved
no resolver link, observed 2026-08-04T09:55:53.360282Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T09:55:53.360282Z digest=sha256:0e89c3b85036de0e538fc57d77b28a9da1357b00f045f09eb365dad725a15814

Observation f4917866-032a-44d7-9a3e-44ba07f9fff6 · inbound

ZoFia: Zero-Shot Fake News Detection with Entity-Guided Retrieval and Multi-LLM Interaction cites this paper.

ZoFia: Zero-Shot Fake News Detection with Entity-Guided Retrieval and Multi-LLM Interaction Can LLM-Generated Misinformation Be Detected?

Reference 6

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verified exact
arxiv_id, observed 2026-05-18T01:50:38.305850Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-18T01:47:35.232468Z digest=sha256:e8578488582295c2c1406a52431d180e64e0ef740075f8bc5a34db71c4498726

Observation 9563ea84-5423-492f-8db6-17f7577c6006 · inbound

Cross-Lingual Attention Distillation with Personality-Informed Generative Augmentation for Multilingual Personality Recognition cites this paper.

Cross-Lingual Attention Distillation with Personality-Informed Generative Augmentation for Multilingual Personality Recognition Can LLM-Generated Misinformation Be Detected?

Reference 4

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metadata mismatch
arxiv_id, observed 2026-05-11T00:41:06.851127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-10T18:22:48.910006Z digest=sha256:382464a2975e9755eb0df93b9dcf3e568d8e13a6a4d847a29394690be38c3399

Observation 0c2860be-2c9d-40cf-9570-5a803a085312 · inbound

RLSpoofer: A Lightweight Evaluator for LLM Watermark Spoofing Resilience cites this paper.

RLSpoofer: A Lightweight Evaluator for LLM Watermark Spoofing Resilience Can LLM-Generated Misinformation Be Detected?

Reference 3

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verified exact
arxiv_id, observed 2026-05-11T10:41:06.138135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-10T15:21:42.253396Z digest=sha256:999aed7f2a3d19038a0f76153913a0787f9630fa751056282e5b46e31f9460c1

Observation cf9c065f-4bac-4006-a7ef-6c5c94ae1eec · inbound

Leveraging Weighted Syntactic and Semantic Context Assessment Summary (wSSAS) Towards Text Categorization Using LLMs cites this paper.

Leveraging Weighted Syntactic and Semantic Context Assessment Summary (wSSAS) Towards Text Categorization Using LLMs Can LLM-Generated Misinformation Be Detected?

Reference 3

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verified exact
arxiv_id, observed 2026-05-10T21:50:50.551346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-10T15:11:35.346010Z digest=sha256:3213f163d74c965d847ae6ef87a9708fa30dc65fd782a3f774f49674fe98200b

Observation a8ecea3b-ead1-48ef-890f-8080b7571b33 · inbound

Consistency Analysis of Sentiment Predictions using Syntactic & Semantic Context Assessment Summarization (SSAS) cites this paper.

Consistency Analysis of Sentiment Predictions using Syntactic & Semantic Context Assessment Summarization (SSAS) Can LLM-Generated Misinformation Be Detected?

Reference 4

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verified exact
arxiv_id, observed 2026-05-10T11:00:03.754487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-10T10:55:20.435471Z digest=sha256:046f56aa421647c4a7386362987e5441638ae6522f9174f804e1d3314242fbf2

Observation 3feb16be-6b61-45b7-b4bd-557b2de77ed4 · inbound

Diagnosing LLM Arbitration Behavior over Pre-evidence Epistemic States in RAG-based Fact-Checking cites this paper.

Diagnosing LLM Arbitration Behavior over Pre-evidence Epistemic States in RAG-based Fact-Checking Can LLM-Generated Misinformation Be Detected?

Reference 1

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metadata mismatch
arxiv_id, observed 2026-07-01T20:46:14.224063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-28T17:39:56.659403Z digest=sha256:f227abed1691c859cf334040a4833ff3054b66ef0f17a13c3c26e529051d9237

Observation b2089800-c092-4738-a3ba-2b415e9c81cb · inbound

RELIANCE: Curating and Evaluating Reproductive Health Information on Social Media cites this paper.

RELIANCE: Curating and Evaluating Reproductive Health Information on Social Media Can LLM-Generated Misinformation Be Detected?

Reference 9

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verified exact
arxiv_id, observed 2026-07-03T13:28:19.279722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-27T07:56:36.600805Z digest=sha256:8757e4aaeaf4ad379d44d2e511f51250c5081a8c95628743f548be86d246c0d7

Observation 63258970-bcb4-472d-8865-365971662f87 · inbound

Do people rely on ChatGPT more than their peers to detect deepfake news? cites this paper.

Do people rely on ChatGPT more than their peers to detect deepfake news? Can LLM-Generated Misinformation Be Detected?

Reference 8

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no resolver link, observed 2026-08-06T00:08:44.419863Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:08:44.419863Z digest=sha256:a6b18bfc6454293c4b76204949ffa883f65bf2a6e444d9da6b2736e9c6b19314