Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T13:01:05.267665Z
Paper Citation Record · LEDGER
Bangla BERT for Hyperpartisan News Detection: A Semi-Supervised and Explainable AI Approach
As of 7 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 0 inbound Pith citation observations for arXiv:2507.21242.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
20 of 20 outbound references displayed
- verified exact2
- verified fuzzy17
- unresolved1
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation b7289619-80a6-4e62-96fb-8ca2ec71d6fe · outbound
This paper cites Semeval-2019 task 4: Hyper- partisan news detection,.
Bangla BERT for Hyperpartisan News Detection: A Semi-Supervised and Explainable AI Approach Semeval-2019 task 4: Hyper- partisan news detection,
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T13:01:05.418868Z
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 e11c51de-d837-4fbe-9512-c42a63ef729b · outbound
This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.
Bangla BERT for Hyperpartisan News Detection: A Semi-Supervised and Explainable AI Approach BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T13:01:05.226050Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e2fc9171-bf64-4346-b4b6-18ccc2e4998c · outbound
This paper cites Shap: A unified approach to interpreting model predictions,.
Bangla BERT for Hyperpartisan News Detection: A Semi-Supervised and Explainable AI Approach Shap: A unified approach to interpreting model predictions,
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T13:01:05.413349Z
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 312e561d-8328-4aeb-90d2-4996ad8ef54b · outbound
This paper cites Detection of hyperpartisan news articles using natural language processing technique,.
Bangla BERT for Hyperpartisan News Detection: A Semi-Supervised and Explainable AI Approach Detection of hyperpartisan news articles using natural language processing technique,
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T13:01:05.407803Z
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 ecbb4d23-792d-4d8c-9506-a6de3984c03c · outbound
This paper cites Masking and transformer-based models for hyperpartisanship detection in news,.
Bangla BERT for Hyperpartisan News Detection: A Semi-Supervised and Explainable AI Approach Masking and transformer-based models for hyperpartisanship detection in news,
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T13:01:05.402174Z
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 7e03cdf2-3ad9-4caf-8236-1286a0399a4f · outbound
This paper cites Dick-preston and morbo at semeval-2019 task 4: Transfer learning for hyperpartisan news detection,.
Bangla BERT for Hyperpartisan News Detection: A Semi-Supervised and Explainable AI Approach Dick-preston and morbo at semeval-2019 task 4: Transfer learning for hyperpartisan news detection,
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T13:01:05.395628Z
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 5c0e3556-d181-4ea8-a575-779970039181 · outbound
This paper cites Harvey mudd college at semeval-2019 task 4: The dx beaumont hyper- partisan news detector,.
Bangla BERT for Hyperpartisan News Detection: A Semi-Supervised and Explainable AI Approach Harvey mudd college at semeval-2019 task 4: The dx beaumont hyper- partisan news detector,
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T13:01:05.390034Z
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 cd362616-86b5-44a6-b5b2-e57c95cb2902 · outbound
This paper cites Team yeon-zi at semeval-2019 task 4: Hyperpartisan news detection by de-noising weakly-labeled data,.
Bangla BERT for Hyperpartisan News Detection: A Semi-Supervised and Explainable AI Approach Team yeon-zi at semeval-2019 task 4: Hyperpartisan news detection by de-noising weakly-labeled data,
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T13:01:05.384358Z
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 aca2cd9b-7de5-4437-9389-8ba9e01c3fc0 · outbound
This paper cites The sally smedley hyperpartisan news detector at semeval-2019 task 4,.
Bangla BERT for Hyperpartisan News Detection: A Semi-Supervised and Explainable AI Approach The sally smedley hyperpartisan news detector at semeval-2019 task 4,
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T13:01:05.378074Z
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 bb2c6ca7-1eb6-457c-9070-a48b0e95fd3b · outbound
This paper cites Hyperpartisanship, disinformation and political conversations on twitter: The brazilian presidential election of 2018,.
Bangla BERT for Hyperpartisan News Detection: A Semi-Supervised and Explainable AI Approach Hyperpartisanship, disinformation and political conversations on twitter: The brazilian presidential election of 2018,
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T13:01:05.371871Z
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 e595b595-0b67-41df-81f4-bb6ebed33e4d · outbound
This paper cites Computational assess- ment of hyperpartisanship in news titles,.
Bangla BERT for Hyperpartisan News Detection: A Semi-Supervised and Explainable AI Approach Computational assess- ment of hyperpartisanship in news titles,
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T13:01:05.364089Z
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 0cc07c06-ef6c-4816-b2a4-e4f6e5985c44 · outbound
This paper cites Mitigating Biases in Toxic Language Detection through Invariant Rationalization.
Bangla BERT for Hyperpartisan News Detection: A Semi-Supervised and Explainable AI Approach Mitigating Biases in Toxic Language Detection through Invariant Rationalization
Reference 12
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T13:01:05.300347Z
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 b6c69ad4-bf2f-4d2b-81ee-ba279a187e23 · outbound
This paper cites Team xenophilius lovegood at semeval-2019 task 4: Hyperpar- tisanship classification using convolutional neural networks,.
Bangla BERT for Hyperpartisan News Detection: A Semi-Supervised and Explainable AI Approach Team xenophilius lovegood at semeval-2019 task 4: Hyperpar- tisanship classification using convolutional neural networks,
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T13:01:05.355826Z
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 0f8be067-0c4b-46f9-a1b6-dfb0b1574b9c · outbound
This paper cites Embedding-Based Approaches to Hyperpartisan News Detection.
Bangla BERT for Hyperpartisan News Detection: A Semi-Supervised and Explainable AI Approach Embedding-Based Approaches to Hyperpartisan News Detection
Reference 14
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T13:01:05.290947Z
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 573f4be7-5704-462a-b5d0-d01aaa770059 · outbound
This paper cites Hyperpartisan news and articles detection using bert and elmo,.
Bangla BERT for Hyperpartisan News Detection: A Semi-Supervised and Explainable AI Approach Hyperpartisan news and articles detection using bert and elmo,
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T13:01:05.348720Z
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 d522742a-13bb-44a8-8eab-3bc7b0a42703 · outbound
This paper cites Hyperpartisan news clas- sification with elmo and bias feature.
Bangla BERT for Hyperpartisan News Detection: A Semi-Supervised and Explainable AI Approach Hyperpartisan news clas- sification with elmo and bias feature
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T13:01:05.340175Z
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 9c3415f8-07b1-4c9b-9c1e-58861eddc531 · outbound
This paper cites UBC- NLP at SemEval-2019 task 4: Hyperpartisan news detection with attention-based Bi-LSTMs,.
Bangla BERT for Hyperpartisan News Detection: A Semi-Supervised and Explainable AI Approach UBC- NLP at SemEval-2019 task 4: Hyperpartisan news detection with attention-based Bi-LSTMs,
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T13:01:05.332464Z
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 fcbfc787-a875-46e6-aeb0-5227e1dd3ac9 · outbound
This paper cites Spider-jerusalem at semeval- 2019 task 4: hyperpartisan news detection,.
Bangla BERT for Hyperpartisan News Detection: A Semi-Supervised and Explainable AI Approach Spider-jerusalem at semeval- 2019 task 4: hyperpartisan news detection,
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T13:01:05.326481Z
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 2d951289-ac7b-48e8-b82e-c58f308dc00b · outbound
This paper cites Bangla news article dataset,.
Bangla BERT for Hyperpartisan News Detection: A Semi-Supervised and Explainable AI Approach Bangla news article dataset,
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T13:01:05.320035Z
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 819d7934-b410-4548-8404-9acc53a66454 · outbound
This paper cites A vailable: https://www.sciencedirect.com/sci- ence/article/pii/S2352340924008382.
Bangla BERT for Hyperpartisan News Detection: A Semi-Supervised and Explainable AI Approach A vailable: https://www.sciencedirect.com/sci- ence/article/pii/S2352340924008382
Reference 2024
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T13:01:05.313461Z
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.
Pith citing papers
No inbound Pith citation observations are available.