Paper Citation Record · LEDGER

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

As of 9 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 0 inbound Pith citation observations for arXiv:2502.09097.

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

pith.paper-citation-record.v1
2502.09097 v2

Coverage vector

measured 20 of 20 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T22:39:55.150683Z

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

20 of 20 outbound references displayed

verified exact5
verified fuzzy10
unresolved5
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation dfb3ec74-c0de-47ae-9a2e-e63826bc3244 · outbound

This paper cites Fake news classification based on content level features,.

A Hybrid Transformer Model for Fake News Detection: Leveraging Bayesian Optimization and Bidirectional Recurrent Unit Fake news classification based on content level features,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:39:55.487483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 56abdc37-facf-4c7b-9d3c-8e1d044e13bc · outbound

This paper cites A taxonomy of fake news classification techniques: Survey and implementation aspects,.

A Hybrid Transformer Model for Fake News Detection: Leveraging Bayesian Optimization and Bidirectional Recurrent Unit A taxonomy of fake news classification techniques: Survey and implementation aspects,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:39:55.473862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ee9ce1a4-07bc-4243-9294-93e0afa73df6 · outbound

This paper cites Simultaneously detecting spatiotemporal changes with penalized Poisson regression models.

A Hybrid Transformer Model for Fake News Detection: Leveraging Bayesian Optimization and Bidirectional Recurrent Unit Simultaneously detecting spatiotemporal changes with penalized Poisson regression models

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-08-07T22:39:55.344140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation dd34e57d-c717-4e8b-8aaf-b686a0835bac · outbound

This paper cites A Hybrid Attention Framework for Fake News Detection with Large Language Models.

A Hybrid Transformer Model for Fake News Detection: Leveraging Bayesian Optimization and Bidirectional Recurrent Unit A Hybrid Attention Framework for Fake News Detection with Large Language Models

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-08-07T22:39:55.323497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 58c48013-90bd-4bd4-9da6-5a837188040a · outbound

This paper cites Improving academic skills assessment with nlp and ensemble learning,.

A Hybrid Transformer Model for Fake News Detection: Leveraging Bayesian Optimization and Bidirectional Recurrent Unit Improving academic skills assessment with nlp and ensemble learning,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:39:55.459380Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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

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

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.

Observation bddaefb9-860e-4d53-810a-738444bde341 · outbound

This paper cites GIVE: Structured Reasoning of Large Language Models with Knowledge Graph Inspired Veracity Extrapolation.

A Hybrid Transformer Model for Fake News Detection: Leveraging Bayesian Optimization and Bidirectional Recurrent Unit GIVE: Structured Reasoning of Large Language Models with Knowledge Graph Inspired Veracity Extrapolation

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T22:39:55.096118Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f16ebde5-8072-4a0d-bbe5-a7d6d8392ea6 · outbound

This paper cites A systematic review of multimodal approaches to online misinformation detection,.

A Hybrid Transformer Model for Fake News Detection: Leveraging Bayesian Optimization and Bidirectional Recurrent Unit A systematic review of multimodal approaches to online misinformation detection,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:39:55.444137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 36d966cb-3222-46b9-ad7d-cf2a7e68de38 · outbound

This paper cites Applications of large language models in multimodal learning,.

A Hybrid Transformer Model for Fake News Detection: Leveraging Bayesian Optimization and Bidirectional Recurrent Unit Applications of large language models in multimodal learning,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:39:55.430687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation bc6c258a-bcfa-406e-8cce-d8dbe5b6196f · outbound

This paper cites RAG-Instruct: Boosting LLMs with Diverse Retrieval-Augmented Instructions.

A Hybrid Transformer Model for Fake News Detection: Leveraging Bayesian Optimization and Bidirectional Recurrent Unit RAG-Instruct: Boosting LLMs with Diverse Retrieval-Augmented Instructions

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T22:39:55.109344Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f843dc37-32ff-4622-b291-1f5a44f400bf · outbound

This paper cites GreenPLM: Cross-Lingual Transfer of Monolingual Pre-Trained Language Models at Almost No Cost.

A Hybrid Transformer Model for Fake News Detection: Leveraging Bayesian Optimization and Bidirectional Recurrent Unit GreenPLM: Cross-Lingual Transfer of Monolingual Pre-Trained Language Models at Almost No Cost

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-08-07T22:39:55.260938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 12fb5ba9-14f2-4c04-9d21-971de2d88985 · outbound

This paper cites Uncertainty is Fragile: Manipulating Uncertainty in Large Language Models.

A Hybrid Transformer Model for Fake News Detection: Leveraging Bayesian Optimization and Bidirectional Recurrent Unit Uncertainty is Fragile: Manipulating Uncertainty in Large Language Models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T22:39:55.118786Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a9f5dcce-c4b2-4b49-8639-5d6c6d6b51fb · outbound

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

A Hybrid Transformer Model for Fake News Detection: Leveraging Bayesian Optimization and Bidirectional Recurrent Unit Detecting COVID-19 Conspiracy Theories with Transformers and TF-IDF

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-08-07T22:39:55.227206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ca0974ce-0f14-4a1f-93e7-aa3ebc06b29b · outbound

This paper cites Detection of fake news text classification on covid-19 using deep learning approaches,.

A Hybrid Transformer Model for Fake News Detection: Leveraging Bayesian Optimization and Bidirectional Recurrent Unit Detection of fake news text classification on covid-19 using deep learning approaches,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:39:55.417081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 2372618e-03d3-462c-bd63-a49f8d33d9b6 · outbound

This paper cites Toward a better performance evaluation framework for fake news classification,.

A Hybrid Transformer Model for Fake News Detection: Leveraging Bayesian Optimization and Bidirectional Recurrent Unit Toward a better performance evaluation framework for fake news classification,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:39:55.402272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 0e011ab1-a0d5-449b-a86d-bb40c16619ad · outbound

This paper cites Enhancing Document-level Event Argument Extraction with Contextual Clues and Role Relevance.

A Hybrid Transformer Model for Fake News Detection: Leveraging Bayesian Optimization and Bidirectional Recurrent Unit Enhancing Document-level Event Argument Extraction with Contextual Clues and Role Relevance

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-08-07T22:39:55.206658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 03f0efbc-2331-49ee-b94f-2421e7999458 · outbound

This paper cites Analysis and classification of fake news using sequential pattern mining,.

A Hybrid Transformer Model for Fake News Detection: Leveraging Bayesian Optimization and Bidirectional Recurrent Unit Analysis and classification of fake news using sequential pattern mining,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:39:55.388024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d05289db-2438-475f-98e3-31531546eafc · outbound

This paper cites Fake news classi- fication using transformer based enhanced lstm and bert,.

A Hybrid Transformer Model for Fake News Detection: Leveraging Bayesian Optimization and Bidirectional Recurrent Unit Fake news classi- fication using transformer based enhanced lstm and bert,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:39:55.373975Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f2253852-a5d8-4a88-bf7a-23c808e2f322 · outbound

This paper cites Machine learning for fake news classification with optimal feature selection,.

A Hybrid Transformer Model for Fake News Detection: Leveraging Bayesian Optimization and Bidirectional Recurrent Unit Machine learning for fake news classification with optimal feature selection,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:39:55.358772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ed9dfafa-d5b2-4579-b7b4-aa80ee62af39 · outbound

This paper cites Optimization of Transformer heart disease prediction model based on particle swarm optimization algorithm.

A Hybrid Transformer Model for Fake News Detection: Leveraging Bayesian Optimization and Bidirectional Recurrent Unit Optimization of Transformer heart disease prediction model based on particle swarm optimization algorithm

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T22:39:55.150683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.