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Paper Citation Record · LEDGER

Challenges and Innovations in LLM-Powered Fake News Detection: A Synthesis of Approaches and Future Directions

As of 10 August 2026, this Paper Citation Record lists 4 of 4 outbound references and 2 inbound Pith citation observations for arXiv:2502.00339.

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

pith.paper-citation-record.v1
2502.00339 v1

Coverage vector

measured 4 of 4 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T19:25:47.335559Z

measured 6 of 6 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T22:39:55.090976Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T01:50:38.328658Z

Reference resolution

4 of 4 outbound references displayed

  • verified exact0
  • verified fuzzy2
  • unresolved2
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1c1ca3b4-1f42-4a36-9205-e05eb007da9c · outbound

This paper cites LLM-Enhanced multimodal detection of fake news.

Challenges and Innovations in LLM-Powered Fake News Detection: A Synthesis of Approaches and Future Directions LLM-Enhanced multimodal detection of fake news

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:25:47.404575Z

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.

source=pdf_text observed=2026-08-09T19:25:47.323518Z digest=sha256:44cd73a3c1a17c84a09135d0befaf45ac3715ecd63f9c5cfac0e17f2544b778d

Observation 6fd7c71d-305a-48fe-96be-456cb247b3c2 · outbound

This paper cites Detect, Investigate, Judge and Determine: A Knowledge-guided Framework for Few-shot Fake News Detection.

Challenges and Innovations in LLM-Powered Fake News Detection: A Synthesis of Approaches and Future Directions Detect, Investigate, Judge and Determine: A Knowledge-guided Framework for Few-shot Fake News Detection

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-09T19:25:47.327682Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T19:25:47.327682Z digest=sha256:149f63ea232c96ede390403121f97e6f0492b28568d13d8ffd546751a69342e2

Observation 4352e8d8-4daa-4ae5-a279-8d33b3d08301 · outbound

This paper cites Fake News in Sheep's Clothing: Robust Fake News Detection Against LLM-Empowered Style Attacks.

Challenges and Innovations in LLM-Powered Fake News Detection: A Synthesis of Approaches and Future Directions Fake News in Sheep's Clothing: Robust Fake News Detection Against LLM-Empowered Style Attacks

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:25:47.392322Z

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.

source=pdf_text observed=2026-08-09T19:25:47.331781Z digest=sha256:433d815ecbb4260ae38e3b1e4024043b6d2ab154dad0d9261dba264b44fa6615

Observation 5b5d1aa7-fc67-42b1-8b60-56b4f3dea203 · outbound

This paper cites Detecting COVID-19 Conspiracy Theories with Transformers and TF-IDF.

Challenges and Innovations in LLM-Powered Fake News Detection: A Synthesis of Approaches and Future Directions Detecting COVID-19 Conspiracy Theories with Transformers and TF-IDF

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-09T19:25:47.335559Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T19:25:47.335559Z digest=sha256:c5013b226319e63642f7793741b78442a53dfc424bc427833fc502fcacaa0087

Pith citing papers

Observation 01cce3d6-94b9-4c10-aaef-637ac03e3f44 · inbound

A Hybrid Transformer Model for Fake News Detection: Leveraging Bayesian Optimization and Bidirectional Recurrent Unit cites this paper.

A Hybrid Transformer Model for Fake News Detection: Leveraging Bayesian Optimization and Bidirectional Recurrent Unit Challenges and Innovations in LLM-Powered Fake News Detection: A Synthesis of Approaches and Future Directions

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-07T22:39:55.090976Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:39:55.090976Z digest=sha256:c811438f44b114633a2fbe5c40c365af5ae0e54728e117f8a2a07687f4904aa7

Observation b8109cd7-f4e9-40d0-ac3c-7d0457900a3b · 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 Challenges and Innovations in LLM-Powered Fake News Detection: A Synthesis of Approaches and Future Directions

Reference 46

Resolution
verified exact
arxiv_id, observed 2026-05-18T01:50:38.331450Z

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.

source=arxiv_source observed=2026-05-18T01:47:35.232468Z digest=sha256:4de37cff4346958db34cc69a01f07e9ae522837cfc9773d2f7c74397dde0c9f5