Paper Citation Record · LEDGER

LLM-Generated Fake News Induces Truth Decay in News Ecosystem: A Case Study on Neural News Recommendation

As of 21 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 3 inbound Pith citation observations for arXiv:2504.20013.

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

pith.paper-citation-record.v1
2504.20013 v2

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:41:51.496530Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:18:07.752164Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

29 of 29 outbound references displayed

verified exact0
verified fuzzy14
unresolved13
parse uncertain0
malformed identifier0
metadata mismatch2

External citation measurements

0
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 221454bf-6832-40f0-b5c6-e82b4a854c23 · outbound

This paper cites InProceedings of the International AAAI Conference on Web and Social Media, volume 14, pages 853–862.

LLM-Generated Fake News Induces Truth Decay in News Ecosystem: A Case Study on Neural News Recommendation InProceedings of the International AAAI Conference on Web and Social Media, volume 14, pages 853–862

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:41:51.937602Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 91a76752-5541-4b92-851d-470b0b5d061d · outbound

This paper cites Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons Learned.

LLM-Generated Fake News Induces Truth Decay in News Ecosystem: A Case Study on Neural News Recommendation Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons Learned

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-16T05:41:51.389957Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7ac5fbd2-ff35-4efd-9d7e-db37542e79e3 · outbound

This paper cites Jon Atle Gulla, Lemei Zhang, Peng Liu, Özlem Özgöbek, and Xiaomeng Su.

LLM-Generated Fake News Induces Truth Decay in News Ecosystem: A Case Study on Neural News Recommendation Jon Atle Gulla, Lemei Zhang, Peng Liu, Özlem Özgöbek, and Xiaomeng Su

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:41:51.894282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 0a3e625c-5a96-46e5-8097-f515ae3623b6 · outbound

This paper cites InProceedings of the AAAI Conference on Artificial Intelligence, volume 38, pages 22105–22113.

LLM-Generated Fake News Induces Truth Decay in News Ecosystem: A Case Study on Neural News Recommendation InProceedings of the AAAI Conference on Artificial Intelligence, volume 38, pages 22105–22113

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:41:51.880010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 94a69f5b-1dc4-4df1-8ad2-d94d0d045a09 · outbound

This paper cites InFindings of the Association for Computational Linguistics: EMNLP 2023, pages 15647–15658.

LLM-Generated Fake News Induces Truth Decay in News Ecosystem: A Case Study on Neural News Recommendation InFindings of the Association for Computational Linguistics: EMNLP 2023, pages 15647–15658

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:41:51.851547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 03b8dd15-8bc4-4642-adb5-0c382c2a2075 · outbound

This paper cites InFindings of the Association for Computational Linguistics: ACL 2022, pages 343–352.

LLM-Generated Fake News Induces Truth Decay in News Ecosystem: A Case Study on Neural News Recommendation InFindings of the Association for Computational Linguistics: ACL 2022, pages 343–352

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:41:51.837050Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 7f04db1a-1cbe-4fda-9ca8-fb4b7a752bad · outbound

This paper cites Exploring Fine-tuning ChatGPT for News Recommendation.

LLM-Generated Fake News Induces Truth Decay in News Ecosystem: A Case Study on Neural News Recommendation Exploring Fine-tuning ChatGPT for News Recommendation

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-16T05:41:51.423004Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 205f1d4c-1207-45fa-811b-254dc316dcae · outbound

This paper cites AI-Press: A Multi-Agent News Generating and Feedback Simulation System Powered by Large Language Models.

LLM-Generated Fake News Induces Truth Decay in News Ecosystem: A Case Study on Neural News Recommendation AI-Press: A Multi-Agent News Generating and Feedback Simulation System Powered by Large Language Models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-16T05:41:51.427772Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b06c3cb1-b72f-42b9-873a-d16cc0d184d4 · outbound

This paper cites InProceedings of the ACM Web Conference 2022, pages 3511–3519.

LLM-Generated Fake News Induces Truth Decay in News Ecosystem: A Case Study on Neural News Recommendation InProceedings of the ACM Web Conference 2022, pages 3511–3519

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:41:51.822803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 8c267941-83a2-4860-bf46-9c78139d4e12 · outbound

This paper cites InFindings of the Association for Computational Linguistics: EMNLP 2023, pages 8338–8347.

LLM-Generated Fake News Induces Truth Decay in News Ecosystem: A Case Study on Neural News Recommendation InFindings of the Association for Computational Linguistics: EMNLP 2023, pages 8338–8347

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:41:51.806005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 1315050b-cc88-49f7-a2c8-1c5e46661e17 · outbound

This paper cites Adversarial Style Augmentation via Large Language Model for Robust Fake News Detection.

LLM-Generated Fake News Induces Truth Decay in News Ecosystem: A Case Study on Neural News Recommendation Adversarial Style Augmentation via Large Language Model for Robust Fake News Detection

Reference 18

Resolution: metadata mismatch; local_arxiv, observed 2026-08-16T05:41:51.645976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ff9dd921-1871-43e5-8dd7-329b0ec0a0bf · outbound

This paper cites Accessed: 2024-12-06.

LLM-Generated Fake News Induces Truth Decay in News Ecosystem: A Case Study on Neural News Recommendation Accessed: 2024-12-06

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:41:51.790950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 2de7b332-eedd-46c6-b834-4b8ef76f40ce · outbound

This paper cites https://www.sae.org/standards/content/j3016_202104/.

LLM-Generated Fake News Induces Truth Decay in News Ecosystem: A Case Study on Neural News Recommendation https://www.sae.org/standards/content/j3016_202104/

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:41:51.775286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b41a0c23-ed71-4c08-b7a6-90ec561171e9 · outbound

This paper cites Fake News Detectors are Biased against Texts Generated by Large Language Models.

LLM-Generated Fake News Induces Truth Decay in News Ecosystem: A Case Study on Neural News Recommendation Fake News Detectors are Biased against Texts Generated by Large Language Models

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-16T05:41:51.456300Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f64e2f10-3b87-4122-9fe1-17794483ad7b · outbound

This paper cites Exploring the Deceptive Power of LLM-Generated Fake News: A Study of Real-World Detection Challenges.

LLM-Generated Fake News Induces Truth Decay in News Ecosystem: A Case Study on Neural News Recommendation Exploring the Deceptive Power of LLM-Generated Fake News: A Study of Real-World Detection Challenges

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-16T05:41:51.461180Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a2a9bbc2-403f-4f52-8688-3057ae1aa496 · outbound

This paper cites A Comprehensive Survey of Hallucination Mitigation Techniques in Large Language Models.

LLM-Generated Fake News Induces Truth Decay in News Ecosystem: A Case Study on Neural News Recommendation A Comprehensive Survey of Hallucination Mitigation Techniques in Large Language Models

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-16T05:41:51.466136Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 808f8255-ffe8-428b-870d-17542f589eb3 · outbound

This paper cites Have LLMs Reopened the Pandora's Box of AI-Generated Fake News?.

LLM-Generated Fake News Induces Truth Decay in News Ecosystem: A Case Study on Neural News Recommendation Have LLMs Reopened the Pandora's Box of AI-Generated Fake News?

Reference 25

Resolution: metadata mismatch; local_arxiv, observed 2026-08-16T05:41:51.568752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 656ac5c9-c6ab-4fcd-93ea-ed2af3716b56 · outbound

This paper cites InProceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, pages 6389–6394.

LLM-Generated Fake News Induces Truth Decay in News Ecosystem: A Case Study on Neural News Recommendation InProceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, pages 6389–6394

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:41:51.759673Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4cb48e53-7bab-40ed-a31c-1345e77e6656 · outbound

This paper cites https://content-static.cctvnews.cctv.com/snow-book/index.html?item_ id=1228812076456706991.

LLM-Generated Fake News Induces Truth Decay in News Ecosystem: A Case Study on Neural News Recommendation https://content-static.cctvnews.cctv.com/snow-book/index.html?item_ id=1228812076456706991

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:41:51.744119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 6863fc3a-110a-42b8-856d-16a1393404bb · outbound

This paper cites A Survey of Large Language Models.

LLM-Generated Fake News Induces Truth Decay in News Ecosystem: A Case Study on Neural News Recommendation A Survey of Large Language Models

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-16T05:41:51.490787Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8cd31149-85f1-4208-8360-598e128f1c67 · outbound

This paper cites Exploring the Escalation of Source Bias in User, Data, and Recommender System Feedback Loop.

LLM-Generated Fake News Induces Truth Decay in News Ecosystem: A Case Study on Neural News Recommendation Exploring the Escalation of Source Bias in User, Data, and Recommender System Feedback Loop

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-16T05:41:51.496530Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d6cc9f60-219c-468f-899d-2df8a1620aff · outbound

This paper cites https://www.bbc.com/news/ technology-37657524.

LLM-Generated Fake News Induces Truth Decay in News Ecosystem: A Case Study on Neural News Recommendation https://www.bbc.com/news/ technology-37657524

Reference 2016

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:41:51.952240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation af80a51b-2e00-43a2-99e3-4dbe6cb642a5 · outbound

This paper cites an unresolved cited work.

LLM-Generated Fake News Induces Truth Decay in News Ecosystem: A Case Study on Neural News Recommendation Unresolved cited work

Reference 2019

Resolution: unresolved; raw_fallback, observed 2026-08-16T05:41:51.922560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 7f956b28-c3d3-4e5e-bb81-3f00264bbd3a · outbound

This paper cites Language Models are Few-Shot Learners.

LLM-Generated Fake News Induces Truth Decay in News Ecosystem: A Case Study on Neural News Recommendation Language Models are Few-Shot Learners

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-16T05:41:51.371173Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 098ec5ac-cc16-49bc-8a33-44b864a0be79 · outbound

This paper cites Analysing the Effect of Recommendation Algorithms on the Amplification of Misinformation.

LLM-Generated Fake News Induces Truth Decay in News Ecosystem: A Case Study on Neural News Recommendation Analysing the Effect of Recommendation Algorithms on the Amplification of Misinformation

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-16T05:41:51.385271Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c4eb5feb-29c4-4f46-853f-65b09aa24651 · outbound

This paper cites Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback.

LLM-Generated Fake News Induces Truth Decay in News Ecosystem: A Case Study on Neural News Recommendation Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-16T05:41:51.361376Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 40af484f-f687-4457-a684-fde0ad476f3c · outbound

This paper cites InProceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 14571–14589.

LLM-Generated Fake News Induces Truth Decay in News Ecosystem: A Case Study on Neural News Recommendation InProceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 14571–14589

Reference 2023

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:41:51.865801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 6e87e6ca-c14b-4a12-849b-1ae93f4013ba · outbound

This paper cites InProceedings of the ACM Web Conference 2024, pages 3444—-3453.

LLM-Generated Fake News Induces Truth Decay in News Ecosystem: A Case Study on Neural News Recommendation InProceedings of the ACM Web Conference 2024, pages 3444—-3453

Reference 2024

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:41:51.908542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 0f7736b4-cd73-46bc-ad7a-edea116806e3 · outbound

This paper cites MegaFake: A Theory-Driven Dataset of Fake News Generated by Large Language Models.

LLM-Generated Fake News Induces Truth Decay in News Ecosystem: A Case Study on Neural News Recommendation MegaFake: A Theory-Driven Dataset of Fake News Generated by Large Language Models

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-16T05:41:51.471713Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation a169642c-e112-4027-8483-fe9d6b011c12 · inbound

Long-Form Information Alignment Evaluation Beyond Atomic Facts cites this paper.

Long-Form Information Alignment Evaluation Beyond Atomic Facts LLM-Generated Fake News Induces Truth Decay in News Ecosystem: A Case Study on Neural News Recommendation

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T15:18:07.752164Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8adf6d21-27a5-4be0-b4cb-70b59f12c140 · inbound

RESBev: Making BEV Perception More Robust cites this paper.

RESBev: Making BEV Perception More Robust LLM-Generated Fake News Induces Truth Decay in News Ecosystem: A Case Study on Neural News Recommendation

Reference 12

Resolution: unresolved; no resolver link, observed 2026-07-15T00:10:48.378080Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4f412c35-d823-4d14-bc4c-61f755dcca25 · inbound

Enhancing LLMs with Context-Specific Knowledge for Mitigating Misinformation in SMEs: A RAG-based Modeling and Analysis cites this paper.

Enhancing LLMs with Context-Specific Knowledge for Mitigating Misinformation in SMEs: A RAG-based Modeling and Analysis LLM-Generated Fake News Induces Truth Decay in News Ecosystem: A Case Study on Neural News Recommendation

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-08-04T03:08:31.214322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.