Paper Citation Record · LEDGER

How Effectively Can BERT Models Interpret Context and Detect Bengali Communal Violent Text?

As of 19 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2506.19831.

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

pith.paper-citation-record.v1
2506.19831 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T18:29:14.779065Z

measured 36 of 36 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 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

36 of 36 outbound references displayed

verified exact7
verified fuzzy15
unresolved9
parse uncertain0
malformed identifier4
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0f16b4bd-9993-41e2-ae42-54c98ea1254a · outbound

This paper cites New bounds on the accuracy of majority voting for multiclass classiﬁcation.

How Effectively Can BERT Models Interpret Context and Detect Bengali Communal Violent Text? New bounds on the accuracy of majority voting for multiclass classiﬁcation

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 46c1aad0-d314-459a-9c33-6288691ee16b · outbound

This paper cites Emoji dictionary.

How Effectively Can BERT Models Interpret Context and Detect Bengali Communal Violent Text? Emoji dictionary

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:29:15.764958Z

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 ac63239c-c1d6-4df6-9ec4-ef82a9d12e26 · outbound

This paper cites BanglaParaphrase: A high-quality Bangla paraphrase dataset, Associ- ation for Computational Linguistics, Online only.

How Effectively Can BERT Models Interpret Context and Detect Bengali Communal Violent Text? BanglaParaphrase: A high-quality Bangla paraphrase dataset, Associ- ation for Computational Linguistics, Online only

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:29:15.751606Z

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 c8734248-0e49-432f-bb56-d78b975100f7 · outbound

This paper cites Hundreds protest in bangladesh over deadly religious violence.

How Effectively Can BERT Models Interpret Context and Detect Bengali Communal Violent Text? Hundreds protest in bangladesh over deadly religious violence

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:29:15.739611Z

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 5708ee52-f1a2-41a7-941f-3928f74095ea · outbound

This paper cites Two hindu men killed, temples vandalised in bangladesh violence.

How Effectively Can BERT Models Interpret Context and Detect Bengali Communal Violent Text? Two hindu men killed, temples vandalised in bangladesh violence

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:29:15.727026Z

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 77751ece-341d-4b01-ae4a-1d7c56d850bf · outbound

This paper cites Robust Hate Speech Detection in Social Media: A Cross-Dataset Empirical Evaluation.

How Effectively Can BERT Models Interpret Context and Detect Bengali Communal Violent Text? Robust Hate Speech Detection in Social Media: A Cross-Dataset Empirical Evaluation

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-15T18:29:14.664419Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d37fce36-56b8-4b5d-b3b7-8d0d7b134d7c · outbound

This paper cites An- alyzing abusive bangla comments on social media: Nlp & explainable ai, pp.

How Effectively Can BERT Models Interpret Context and Detect Bengali Communal Violent Text? An- alyzing abusive bangla comments on social media: Nlp & explainable ai, pp

Reference 7

Resolution: verified exact; raw_fallback, observed 2026-08-15T18:29:15.410593Z

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 2c088858-712d-44b5-8501-d274f706f6dd · outbound

This paper cites Bangladeshs forgotten crisis: Land, ethnicity, and violence in chittagong hill tracts.

How Effectively Can BERT Models Interpret Context and Detect Bengali Communal Violent Text? Bangladeshs forgotten crisis: Land, ethnicity, and violence in chittagong hill tracts

Reference 8

Resolution: verified exact; raw_fallback, observed 2026-08-15T18:29:15.339817Z

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 1ae71856-bce4-4421-a2fa-b8e6adec2d0f · outbound

This paper cites Interpretable multi labeled bengali toxic comments classiﬁcation using deep learning, pp.

How Effectively Can BERT Models Interpret Context and Detect Bengali Communal Violent Text? Interpretable multi labeled bengali toxic comments classiﬁcation using deep learning, pp

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-15T18:29:14.676131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 79fd9a6a-850f-48f6-99a6-7de11f05fc66 · outbound

This paper cites an unresolved cited work.

How Effectively Can BERT Models Interpret Context and Detect Bengali Communal Violent Text? Unresolved cited work

Reference 10

Resolution: unresolved; raw_fallback, observed 2026-08-15T18:29:15.713415Z

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 aa7bace5-3840-457d-962d-05c3f16cee32 · outbound

This paper cites Communal conﬂict, civil war, and the state: Complexities, connections, and the case of sudan.

How Effectively Can BERT Models Interpret Context and Detect Bengali Communal Violent Text? Communal conﬂict, civil war, and the state: Complexities, connections, and the case of sudan

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:29:15.700643Z

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 1157acc0-b32c-4a04-a8f0-d5eb370af774 · outbound

This paper cites Smote for imbalanced classiﬁcation with python.

How Effectively Can BERT Models Interpret Context and Detect Bengali Communal Violent Text? Smote for imbalanced classiﬁcation with python

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:29:15.686987Z

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 4258aab5-653d-4c0c-a2b6-1e7428caf58b · outbound

This paper cites A weakly supervised Bayesian model for violence detection in social media, Asian Federation of Natural Language Processing, Nagoya, Japan.

How Effectively Can BERT Models Interpret Context and Detect Bengali Communal Violent Text? A weakly supervised Bayesian model for violence detection in social media, Asian Federation of Natural Language Processing, Nagoya, Japan

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:29:15.671211Z

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 6d06d595-3c0c-42e9-ab6c-7fb4d024d421 · outbound

This paper cites Bangla hate speech detection on social media using attention -based recurrent neural network.

How Effectively Can BERT Models Interpret Context and Detect Bengali Communal Violent Text? Bangla hate speech detection on social media using attention -based recurrent neural network

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:29:15.657660Z

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 a5f87ffd-b510-4c78-a564-62f19726427d · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

How Effectively Can BERT Models Interpret Context and Detect Bengali Communal Violent Text? BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-15T18:29:14.698722Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 03ae4483-488f-43a8-b058-c5759bfadeea · outbound

This paper cites Bengali Hate Speech Detection Dataset.

How Effectively Can BERT Models Interpret Context and Detect Bengali Communal Violent Text? Bengali Hate Speech Detection Dataset

Reference 16

Resolution: verified exact; doi, observed 2026-08-15T18:29:14.844487Z

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 63724908-9944-4afc-bc6b-bb7f1cc5fd48 · outbound

This paper cites Bengali stop word and phrase detection mecha- nism.

How Effectively Can BERT Models Interpret Context and Detect Bengali Communal Violent Text? Bengali stop word and phrase detection mecha- nism

Reference 17

Resolution: verified exact; doi, observed 2026-08-15T18:29:14.832744Z

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 48bd54bd-ff93-4057-827d-96069e923cd4 · outbound

This paper cites Few -shot learning.

How Effectively Can BERT Models Interpret Context and Detect Bengali Communal Violent Text? Few -shot learning

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:29:15.645397Z

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 a08ba6bd-5496-4bd4-b945-73e399f98bbd · outbound

This paper cites Classification Benchmarks for Under-resourced Bengali Language based on Multichannel Convolutional-LSTM Network.

How Effectively Can BERT Models Interpret Context and Detect Bengali Communal Violent Text? Classification Benchmarks for Under-resourced Bengali Language based on Multichannel Convolutional-LSTM Network

Reference 19

Resolution: verified exact; local_arxiv, observed 2026-08-15T18:29:15.172810Z

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 f299ed2c-a545-4d36-8f25-f1f69e01497a · outbound

This paper cites Digital 2023: Bangladesh.

How Effectively Can BERT Models Interpret Context and Detect Bengali Communal Violent Text? Digital 2023: Bangladesh

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:29:15.630770Z

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 728da582-4977-44b9-bbc2-fe2442f994b0 · outbound

This paper cites G-bert: An eﬃcient method for identifying hate speech in bengali texts on social media.

How Effectively Can BERT Models Interpret Context and Detect Bengali Communal Violent Text? G-bert: An eﬃcient method for identifying hate speech in bengali texts on social media

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-15T18:29:14.722697Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 910e47aa-e365-4efb-addd-f0536c09e048 · outbound

This paper cites an unresolved cited work.

How Effectively Can BERT Models Interpret Context and Detect Bengali Communal Violent Text? Unresolved cited work

Reference 22

Resolution: verified exact; raw_fallback, observed 2026-08-15T18:29:15.091348Z

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 cc1d99a7-a4db-4182-9664-61385c7ba703 · outbound

This paper cites Smote: Practical consideration and limitations.

How Effectively Can BERT Models Interpret Context and Detect Bengali Communal Violent Text? Smote: Practical consideration and limitations

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:29:15.618215Z

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 f0ef76a7-ada3-41b1-bdc2-9b8d5f0175da · outbound

This paper cites ComMA@ICON: Multi- lingual gender biased and communal language identiﬁcation task at ICON-2021, NLP Association of India (NLPAI), NIT Silchar.

How Effectively Can BERT Models Interpret Context and Detect Bengali Communal Violent Text? ComMA@ICON: Multi- lingual gender biased and communal language identiﬁcation task at ICON-2021, NLP Association of India (NLPAI), NIT Silchar

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:29:15.605357Z

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 b1d8b5cf-3681-469c-906f-b7135adad8dc · outbound

This paper cites an unresolved cited work.

How Effectively Can BERT Models Interpret Context and Detect Bengali Communal Violent Text? Unresolved cited work

Reference 25

Resolution: unresolved; raw_fallback, observed 2026-08-15T18:29:15.592142Z

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 d199c73b-29aa-41c8-876d-95987838190d · outbound

This paper cites an unresolved cited work.

How Effectively Can BERT Models Interpret Context and Detect Bengali Communal Violent Text? Unresolved cited work

Reference 26

Resolution: unresolved; raw_fallback, observed 2026-08-15T18:29:15.579205Z

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 9da2fd3f-288e-4c4a-b01b-55558ae932fe · outbound

This paper cites Deep learning algorithms for cyber -bulling detection in social media platforms.

How Effectively Can BERT Models Interpret Context and Detect Bengali Communal Violent Text? Deep learning algorithms for cyber -bulling detection in social media platforms

Reference 27

Resolution: metadata mismatch; raw_fallback, observed 2026-08-15T18:29:15.011653Z

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 a1b03a7e-28c4-4fba-b21f-201a37c4e40a · outbound

This paper cites Zero-shot learning (zsl) explained.

How Effectively Can BERT Models Interpret Context and Detect Bengali Communal Violent Text? Zero-shot learning (zsl) explained

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:29:15.565922Z

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 715e9b33-2b8a-4a1a-b849-99eda1e68dab · outbound

This paper cites Myanmars religious and ethnic conﬂicts: No end in sight.

How Effectively Can BERT Models Interpret Context and Detect Bengali Communal Violent Text? Myanmars religious and ethnic conﬂicts: No end in sight

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:29:15.553977Z

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 94dbe2a3-f971-4f88-b3d8-c0015172a51a · outbound

This paper cites Hate Speech detection in the Bengali language: A dataset and its baseline evaluation.

How Effectively Can BERT Models Interpret Context and Detect Bengali Communal Violent Text? Hate Speech detection in the Bengali language: A dataset and its baseline evaluation

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-15T18:29:14.756793Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 52fe97f5-44c7-4df5-84c3-f22f1784375d · outbound

This paper cites The Communal Conﬂict In India Causes And Peaceful Solutions.

How Effectively Can BERT Models Interpret Context and Detect Bengali Communal Violent Text? The Communal Conﬂict In India Causes And Peaceful Solutions

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:29:15.540696Z

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 c481d53c-cc29-4780-bbd8-bb7ef97d27bc · outbound

This paper cites Changes in social and religious prac- tices of disputing communities after riot: A case study on communal violence in ramu, in: Journal of Philosophy, Culture and Religion, p.

How Effectively Can BERT Models Interpret Context and Detect Bengali Communal Violent Text? Changes in social and religious prac- tices of disputing communities after riot: A case study on communal violence in ramu, in: Journal of Philosophy, Culture and Religion, p

Reference 32

Resolution: verified exact; doi, observed 2026-08-15T18:29:14.820532Z

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 6ad3cd78-528e-4f22-a85f-a210b920866c · outbound

This paper cites Research progress of zero- shot learning.

How Effectively Can BERT Models Interpret Context and Detect Bengali Communal Violent Text? Research progress of zero- shot learning

Reference 33

Resolution: malformed identifier; raw_fallback, observed 2026-08-15T18:29:15.528300Z

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 510ed620-a2ec-49ef-b2e4-09b91ee7937e · outbound

This paper cites Mapping violence: Developing an extensive framework to build a bangla sectarian expression dataset from so- cial media interactions.

How Effectively Can BERT Models Interpret Context and Detect Bengali Communal Violent Text? Mapping violence: Developing an extensive framework to build a bangla sectarian expression dataset from so- cial media interactions

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-15T18:29:14.771838Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0b59d323-1fde-4a3d-a85c-a17519d4fa47 · outbound

This paper cites Automated bengali abusive text clas- siﬁcation: Using deep learning techniques, pp.

How Effectively Can BERT Models Interpret Context and Detect Bengali Communal Violent Text? Automated bengali abusive text clas- siﬁcation: Using deep learning techniques, pp

Reference 35

Resolution: malformed identifier; no resolver link, observed 2026-08-15T18:29:14.775469Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 82dcf5f7-f069-4ff3-b09e-e0c5dea079fa · outbound

This paper cites Ensemble MLP Classiﬁer Design.

How Effectively Can BERT Models Interpret Context and Detect Bengali Communal Violent Text? Ensemble MLP Classiﬁer Design

Reference 36

Resolution: malformed identifier; raw_fallback, observed 2026-08-15T18:29:15.513148Z

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.

Pith citing papers

No inbound Pith citation observations are available.