Paper Citation Record · LEDGER

Analysis of Disinformation and Fake News Detection Using Fine-Tuned Large Language Model

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2309.04704.

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

pith.paper-citation-record.v1
2309.04704 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:06:24.314482Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T01:50:38.363642Z

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 24d0917e-0ce0-4111-ad71-4348363e6b12 · inbound

AI Approaches to Qualitative and Quantitative News Analytics on NATO Unity cites this paper.

AI Approaches to Qualitative and Quantitative News Analytics on NATO Unity Analysis of Disinformation and Fake News Detection Using Fine-Tuned Large Language Model

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-15T23:06:24.314482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3bd1e8c0-9825-45ec-bda2-bc1e9218fe3e · 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 Analysis of Disinformation and Fake News Detection Using Fine-Tuned Large Language Model

Reference 88

Resolution: unresolved; no resolver link, observed 2026-08-07T05:42:43.773176Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7e01ce86-272e-487e-9006-9812cf23c64f · inbound

Multilevel Analysis of Cryptocurrency News using RAG Approach with Fine-Tuned Mistral Large Language Model cites this paper.

Multilevel Analysis of Cryptocurrency News using RAG Approach with Fine-Tuned Mistral Large Language Model Analysis of Disinformation and Fake News Detection Using Fine-Tuned Large Language Model

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-05T16:50:43.365100Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c020d83f-b8ef-4dc6-8353-13bcb4ec6ee1 · 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 Analysis of Disinformation and Fake News Detection Using Fine-Tuned Large Language Model

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-05-18T01:50:38.366261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ae22c4ae-cb38-4cd8-9908-243a6b6db6b4 · inbound

Latent Fact-Checking: Detecting Misinformation through Activation Engineering cites this paper.

Latent Fact-Checking: Detecting Misinformation through Activation Engineering Analysis of Disinformation and Fake News Detection Using Fine-Tuned Large Language Model

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-10T04:32:02.132484Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 17c9d840-b70d-4e7b-8ac7-5acb50ba774c · inbound

Latent Fact-Checking: Detecting Misinformation through Activation Engineering cites this paper.

Latent Fact-Checking: Detecting Misinformation through Activation Engineering Analysis of Disinformation and Fake News Detection Using Fine-Tuned Large Language Model

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-11T04:19:36.040882Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.