Paper Citation Record · LEDGER

On the Risk of Misinformation Pollution with Large Language Models

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 17 inbound Pith citation observations for arXiv:2305.13661.

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

pith.paper-citation-record.v1
2305.13661 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 17 of 17 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T23:48:53.978600Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-25T08:30:31.653552Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation a4ddbc1f-2308-4042-aa7b-e7005b125903 · inbound

TrustLLM: Trustworthiness in Large Language Models cites this paper.

TrustLLM: Trustworthiness in Large Language Models On the Risk of Misinformation Pollution with Large Language Models

Reference 226

Resolution: verified exact; arxiv_id, observed 2026-05-18T11:17:08.646509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 369c9f5d-19ac-4f14-9f20-aba51671f76a · inbound

Scaling Synthetic Data Creation with 1,000,000,000 Personas cites this paper.

Scaling Synthetic Data Creation with 1,000,000,000 Personas On the Risk of Misinformation Pollution with Large Language Models

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-16T00:03:55.768468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 604fd72d-c5f1-41cf-9fc1-eb3ff5469233 · inbound

RbFT: Robust Fine-tuning for Retrieval-Augmented Generation against Retrieval Defects cites this paper.

RbFT: Robust Fine-tuning for Retrieval-Augmented Generation against Retrieval Defects On the Risk of Misinformation Pollution with Large Language Models

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-09T23:48:53.978600Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 456ac9fa-8c7a-413d-a80e-457b130df0b1 · inbound

Knowledge Synthesis of Photosynthesis Research Using a Large Language Model cites this paper.

Knowledge Synthesis of Photosynthesis Research Using a Large Language Model On the Risk of Misinformation Pollution with Large Language Models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-09T16:47:18.180264Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5867cb47-aca7-4d90-8547-0e62d67274b8 · inbound

XAttnMark: Learning Robust Audio Watermarking with Cross-Attention cites this paper.

XAttnMark: Learning Robust Audio Watermarking with Cross-Attention On the Risk of Misinformation Pollution with Large Language Models

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-05-25T08:30:31.657186Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d04cee5b-e914-4db7-827a-78d179741f41 · inbound

Two Experts Are All You Need for Steering Thinking: Reinforcing Cognitive Effort in MoE Reasoning Models Without Additional Training cites this paper.

Two Experts Are All You Need for Steering Thinking: Reinforcing Cognitive Effort in MoE Reasoning Models Without Additional Training On the Risk of Misinformation Pollution with Large Language Models

Reference 88

Resolution: unresolved; no resolver link, observed 2026-08-07T15:36:06.410393Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a94a1d61-8e0d-470a-8a80-68e877edd8e6 · inbound

Helpful Agent Meets Deceptive Judge: Understanding Vulnerabilities in Agentic Workflows cites this paper.

Helpful Agent Meets Deceptive Judge: Understanding Vulnerabilities in Agentic Workflows On the Risk of Misinformation Pollution with Large Language Models

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T11:10:45.601797Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e0f22039-0711-4706-bcb8-8cd547586be4 · inbound

Through the Stealth Lens: Attention-Aware Defenses Against Poisoning in RAG cites this paper.

Through the Stealth Lens: Attention-Aware Defenses Against Poisoning in RAG On the Risk of Misinformation Pollution with Large Language Models

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-05-25T08:15:34.219419Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 12e09c67-67cb-4726-9a63-d2b8fc67e563 · inbound

Can LLM Improve for Expert Forecast Combination? Evidence from the European Central Bank Survey cites this paper.

Can LLM Improve for Expert Forecast Combination? Evidence from the European Central Bank Survey On the Risk of Misinformation Pollution with Large Language Models

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T21:52:49.456154Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9ea4db15-e08d-4a15-95cb-518b36463e43 · inbound

A Survey on Data Security in Large Language Models cites this paper.

A Survey on Data Security in Large Language Models On the Risk of Misinformation Pollution with Large Language Models

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-06T05:05:02.833864Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 36163fad-1904-40fb-be2e-3beac8dea23a · 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 On the Risk of Misinformation Pollution with Large Language Models

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-06T01:02:15.400138Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 39101130-0891-47da-9435-b7e2c21d9ce1 · inbound

A Symbolic Adversarial Learning Framework for Evolving Fake News Generation and Detection cites this paper.

A Symbolic Adversarial Learning Framework for Evolving Fake News Generation and Detection On the Risk of Misinformation Pollution with Large Language Models

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-05T15:42:16.699061Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e8bc2aae-fe5d-44f5-973b-62393fbe13f5 · inbound

DisarmRAG: Stealthy Retriever-Centric Poisoning to Disable Self-Correction in Retrieval-Augmented Generation (Extended Version) cites this paper.

DisarmRAG: Stealthy Retriever-Centric Poisoning to Disable Self-Correction in Retrieval-Augmented Generation (Extended Version) On the Risk of Misinformation Pollution with Large Language Models

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-05T15:18:34.810186Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7111869e-e6d1-4816-a02c-187590ade5a5 · inbound

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

Embodied AI: Emerging Risks and Opportunities for Policy Action On the Risk of Misinformation Pollution with Large Language Models

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-05T14:37:25.719508Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b4daad6c-7921-4261-af1b-f8909e2767a6 · inbound

Detecting LLM-Generated Spam Reviews by Integrating Language Model Embeddings and Graph Neural Network cites this paper.

Detecting LLM-Generated Spam Reviews by Integrating Language Model Embeddings and Graph Neural Network On the Risk of Misinformation Pollution with Large Language Models

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-05-18T10:42:36.038548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 0dd0f213-58b3-4586-9a68-1c7c6bc25bcb · inbound

Pop Quiz Attack: Black-box Membership Inference Attacks Against Large Language Models cites this paper.

Pop Quiz Attack: Black-box Membership Inference Attacks Against Large Language Models On the Risk of Misinformation Pollution with Large Language Models

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-05-11T20:26:09.089251Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation cc6b1b18-4780-49c2-919b-bbe5ade5d68e · inbound

Information Discernment in Large Language Models cites this paper.

Information Discernment in Large Language Models On the Risk of Misinformation Pollution with Large Language Models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-02T13:26:25.863764Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.