Paper Citation Record · LEDGER

ClickGuard: Detecting and Spoiling Clickbait News with Informativeness Measures and Large Language Models

As of 7 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 0 inbound Pith citation observations for arXiv:2607.20463.

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

pith.paper-citation-record.v1
2607.20463 v1

Coverage vector

measured 19 of 19 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T13:46:37.806461Z

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

19 of 19 outbound references displayed

verified exact4
verified fuzzy0
unresolved15
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 94102ac8-6387-4d76-b2c4-e67d047f80bf · outbound

This paper cites You won’t believe what’s in this paper! clickbait, relevance and the curiosity gap.Journal of Pragmatics, 175:53–66, 2021.

ClickGuard: Detecting and Spoiling Clickbait News with Informativeness Measures and Large Language Models You won’t believe what’s in this paper! clickbait, relevance and the curiosity gap.Journal of Pragmatics, 175:53–66, 2021

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-02T13:46:36.104945Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e448a64f-23f7-4512-a08a-4ae19c9b7bca · outbound

This paper cites Multi-modal soft prompt-tuning for chinese clickbait detection.Neurocomputing, 614:128829, 2025.

ClickGuard: Detecting and Spoiling Clickbait News with Informativeness Measures and Large Language Models Multi-modal soft prompt-tuning for chinese clickbait detection.Neurocomputing, 614:128829, 2025

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-02T13:46:36.191285Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ab64ae6-4a8f-460f-8149-81bf19e3d28b · outbound

This paper cites A multimodal ensemble-based framework for detecting fake news using visual and textual features.Mathematics, 14(2):360, 2026.

ClickGuard: Detecting and Spoiling Clickbait News with Informativeness Measures and Large Language Models A multimodal ensemble-based framework for detecting fake news using visual and textual features.Mathematics, 14(2):360, 2026

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-02T13:46:36.294522Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 08cf39c1-2f9a-4a49-b87d-c89a6e171e7d · outbound

This paper cites Multimodal Clickbait Detection by De-confounding Biases Using Causal Representation Inference.

ClickGuard: Detecting and Spoiling Clickbait News with Informativeness Measures and Large Language Models Multimodal Clickbait Detection by De-confounding Biases Using Causal Representation Inference

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-02T13:46:36.364992Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0ceb1782-73af-44db-8dea-e7fb62bf3ddf · outbound

This paper cites RoBERTa: A Robustly Optimized BERT Pretraining Approach.

ClickGuard: Detecting and Spoiling Clickbait News with Informativeness Measures and Large Language Models RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-02T13:46:36.466290Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5f258549-465f-4496-a305-f5949b2ad8e1 · outbound

This paper cites Clickbait Spoiling via Question Answering and Passage Retrieval.

ClickGuard: Detecting and Spoiling Clickbait News with Informativeness Measures and Large Language Models Clickbait Spoiling via Question Answering and Passage Retrieval

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-02T13:46:36.562108Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2196e9c0-b6fc-4a20-a0b3-0df44aeb8928 · outbound

This paper cites Summary of ChatGPT-related research and perspective towards the future of large language models (LLMs).Meta-Radiology, 1(2):100017, September 2023.

ClickGuard: Detecting and Spoiling Clickbait News with Informativeness Measures and Large Language Models Summary of ChatGPT-related research and perspective towards the future of large language models (LLMs).Meta-Radiology, 1(2):100017, September 2023

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-02T13:46:36.658188Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5ecf342e-1a19-4ec3-8cfd-a0a662813c1d · outbound

This paper cites Automatic detection of clickbait headlines using semantic analysis and machine learning techniques.Applied Sciences, 13(4), January 2023.

ClickGuard: Detecting and Spoiling Clickbait News with Informativeness Measures and Large Language Models Automatic detection of clickbait headlines using semantic analysis and machine learning techniques.Applied Sciences, 13(4), January 2023

Reference 8

Resolution: verified exact; doi, observed 2026-08-02T13:48:26.767643Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation fa4170ca-0271-4365-a97d-99107c1ab39c · outbound

This paper cites Clickbait detection using deep recurrent neural network.Applied Sciences, 12(1), 2022.

ClickGuard: Detecting and Spoiling Clickbait News with Informativeness Measures and Large Language Models Clickbait detection using deep recurrent neural network.Applied Sciences, 12(1), 2022

Reference 9

Resolution: verified exact; doi, observed 2026-08-02T13:48:26.603070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation dcd375a6-aa09-4dc7-a6b3-110a2f3ba1b5 · outbound

This paper cites Identifying clickbait in online news using deep learning.

ClickGuard: Detecting and Spoiling Clickbait News with Informativeness Measures and Large Language Models Identifying clickbait in online news using deep learning

Reference 10

Resolution: verified exact; doi, observed 2026-08-02T13:48:26.383169Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 49091dc2-4940-4fea-a312-341665cbd2fd · outbound

This paper cites CliNe AI chrome extension.

ClickGuard: Detecting and Spoiling Clickbait News with Informativeness Measures and Large Language Models CliNe AI chrome extension

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-02T13:46:37.006010Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 59cb95ca-b4ca-449d-b70b-a673380b7443 · outbound

This paper cites Clickbait Spoiling via Question Answering and Passage Retrieval.

ClickGuard: Detecting and Spoiling Clickbait News with Informativeness Measures and Large Language Models Clickbait Spoiling via Question Answering and Passage Retrieval

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-08-02T13:48:26.176443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation db7599f8-b2cc-41f3-8ec6-64fb9e58bb6c · outbound

This paper cites Clickbait dataset.

ClickGuard: Detecting and Spoiling Clickbait News with Informativeness Measures and Large Language Models Clickbait dataset

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-02T13:46:37.251587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1313add8-561b-43ec-9f4f-d7d6bc629aef · outbound

This paper cites News clickbait dataset.

ClickGuard: Detecting and Spoiling Clickbait News with Informativeness Measures and Large Language Models News clickbait dataset

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-02T13:46:37.348120Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7e27bac7-14aa-4dc1-878d-15932e3c7236 · outbound

This paper cites Clickbait detection challenge 2017.

ClickGuard: Detecting and Spoiling Clickbait News with Informativeness Measures and Large Language Models Clickbait detection challenge 2017

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-02T13:46:37.457179Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5bbae63d-b4b4-4f61-94ed-bb9e285d500e · outbound

This paper cites Clickbait challenge at SemEval 2023 — clickbait spoiling.

ClickGuard: Detecting and Spoiling Clickbait News with Informativeness Measures and Large Language Models Clickbait challenge at SemEval 2023 — clickbait spoiling

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-02T13:46:37.527146Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e9fa1922-11b2-4310-9d11-7fc178b7c6c5 · outbound

This paper cites Using random forest to learn imbalanced data.

ClickGuard: Detecting and Spoiling Clickbait News with Informativeness Measures and Large Language Models Using random forest to learn imbalanced data

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-02T13:46:37.594580Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation debf36bf-7672-42bb-afae-fe242f56420f · outbound

This paper cites Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks.

ClickGuard: Detecting and Spoiling Clickbait News with Informativeness Measures and Large Language Models Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-02T13:46:37.690984Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 638c1764-f53a-4757-9c9e-b0c430c75d02 · outbound

This paper cites Schweidel, and Daniel Dan.

ClickGuard: Detecting and Spoiling Clickbait News with Informativeness Measures and Large Language Models Schweidel, and Daniel Dan

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-02T13:46:37.806461Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.