Paper Citation Record · LEDGER

Social Media Sentiments Analysis on the July Revolution in Bangladesh: A Hybrid Transformer Based Machine Learning Approach

As of 7 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 0 inbound Pith citation observations for arXiv:2507.11084.

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

pith.paper-citation-record.v1
2507.11084 v1

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:21:31.663471Z

measured 37 of 37 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

37 of 37 outbound references displayed

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verified fuzzy27
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6fddd2f0-57d5-4450-bc32-1fa3f06b3bfe · outbound

This paper cites Prosecuting the perpetrators of july- august massacre: A case for restorative justice,.

Social Media Sentiments Analysis on the July Revolution in Bangladesh: A Hybrid Transformer Based Machine Learning Approach Prosecuting the perpetrators of july- august massacre: A case for restorative justice,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:21:32.530056Z

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Observation f6fb4ea7-79de-49dc-a1b6-24348a00589c · outbound

This paper cites The role of political parties in bangladesh’s july revolution of 2024: Insights from sufi perspectives,.

Social Media Sentiments Analysis on the July Revolution in Bangladesh: A Hybrid Transformer Based Machine Learning Approach The role of political parties in bangladesh’s july revolution of 2024: Insights from sufi perspectives,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:21:32.511318Z

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

Observation 983d08c4-dc25-43dd-8041-5eb1e69fd711 · outbound

This paper cites July massacre of 2024,.

Social Media Sentiments Analysis on the July Revolution in Bangladesh: A Hybrid Transformer Based Machine Learning Approach July massacre of 2024,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:21:32.493394Z

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 54299a29-ec07-40a4-95b1-7a3983f33ce8 · outbound

This paper cites Death toll in july revolution reaches 1,423, over 22,000 injured,.

Social Media Sentiments Analysis on the July Revolution in Bangladesh: A Hybrid Transformer Based Machine Learning Approach Death toll in july revolution reaches 1,423, over 22,000 injured,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:21:32.473662Z

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Observation 8b43364a-e0d8-4bb0-b70f-00652157a22f · outbound

This paper cites Gen z’s leadership strategy in the student movement: A factor analysis on july revolution in bangladesh,.

Social Media Sentiments Analysis on the July Revolution in Bangladesh: A Hybrid Transformer Based Machine Learning Approach Gen z’s leadership strategy in the student movement: A factor analysis on july revolution in bangladesh,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:21:32.454811Z

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 43dbcb7c-9228-4179-beee-0925476c15ff · outbound

This paper cites July revolution graffiti at dhaka city.

Social Media Sentiments Analysis on the July Revolution in Bangladesh: A Hybrid Transformer Based Machine Learning Approach July revolution graffiti at dhaka city

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:21:32.438171Z

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 00d0189f-73dc-4ce3-ae99-5cb75906df9a · outbound

This paper cites Graffiti in bangladesh after july revolution.

Social Media Sentiments Analysis on the July Revolution in Bangladesh: A Hybrid Transformer Based Machine Learning Approach Graffiti in bangladesh after july revolution

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:21:32.418002Z

Source-reported events for the cited work

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Observation 8c0791ef-b905-43bd-b260-eb6fde7b68b1 · outbound

This paper cites Bangla natural language processing: A comprehensive analysis of classical, machine learning, and deep learning-based methods,.

Social Media Sentiments Analysis on the July Revolution in Bangladesh: A Hybrid Transformer Based Machine Learning Approach Bangla natural language processing: A comprehensive analysis of classical, machine learning, and deep learning-based methods,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:21:32.398163Z

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 a60bf482-a4de-4f1e-b093-a9980a60b999 · outbound

This paper cites Exploring transformer models in the sentiment analysis task for the under-resource bengali language,.

Social Media Sentiments Analysis on the July Revolution in Bangladesh: A Hybrid Transformer Based Machine Learning Approach Exploring transformer models in the sentiment analysis task for the under-resource bengali language,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:21:32.378501Z

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 eff3fb7b-b921-451c-8171-fbf8b00e2f60 · outbound

This paper cites Sentiment analysis of bangla language using a new comprehensive dataset bangdsa and the novel feature metric skipbangla-bert,.

Social Media Sentiments Analysis on the July Revolution in Bangladesh: A Hybrid Transformer Based Machine Learning Approach Sentiment analysis of bangla language using a new comprehensive dataset bangdsa and the novel feature metric skipbangla-bert,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:21:32.358547Z

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 bf00ac22-093e-46cf-93fb-c0f7b9fa65d8 · outbound

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

Social Media Sentiments Analysis on the July Revolution in Bangladesh: A Hybrid Transformer Based Machine Learning Approach An- alyzing abusive bangla comments on social media: Nlp & explainable ai,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:21:32.342801Z

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 28451fde-3693-4f2a-9ac5-b6c1e0882ecc · outbound

This paper cites Hybrid cnn lstm approach for sentiment analysis of bengali language comment on facebook,.

Social Media Sentiments Analysis on the July Revolution in Bangladesh: A Hybrid Transformer Based Machine Learning Approach Hybrid cnn lstm approach for sentiment analysis of bengali language comment on facebook,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:21:32.326638Z

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 5cba4d17-ce9c-4aa4-9c4a-224170972ea3 · outbound

This paper cites Sentiment analysis of bangladeshi digital newspaper by using machine learning and natural language processing,.

Social Media Sentiments Analysis on the July Revolution in Bangladesh: A Hybrid Transformer Based Machine Learning Approach Sentiment analysis of bangladeshi digital newspaper by using machine learning and natural language processing,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:21:32.310307Z

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 024aab7e-b2e7-4561-be08-33db5cc10ddb · outbound

This paper cites Bangla e-commerce sentiment analysis optimization using tokeniza- tion and tf-idf,.

Social Media Sentiments Analysis on the July Revolution in Bangladesh: A Hybrid Transformer Based Machine Learning Approach Bangla e-commerce sentiment analysis optimization using tokeniza- tion and tf-idf,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:21:32.290352Z

Source-reported events for the cited work

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Observation 41e07eef-3003-41ec-a978-bbbf9fcc4c0e · outbound

This paper cites Bangla sentiment analysis on highly imbalanced data using hybrid cnn-lstm & bangla bert,.

Social Media Sentiments Analysis on the July Revolution in Bangladesh: A Hybrid Transformer Based Machine Learning Approach Bangla sentiment analysis on highly imbalanced data using hybrid cnn-lstm & bangla bert,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:21:32.270875Z

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 1911c53f-c51c-4a10-ac11-2b0032f4f6a6 · outbound

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

Social Media Sentiments Analysis on the July Revolution in Bangladesh: A Hybrid Transformer Based Machine Learning Approach BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 16

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Source-reported events for the cited work

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Observation 331bd331-ba29-431c-9025-2eafee1518e9 · outbound

This paper cites Unsupervised Cross-lingual Representation Learning at Scale.

Social Media Sentiments Analysis on the July Revolution in Bangladesh: A Hybrid Transformer Based Machine Learning Approach Unsupervised Cross-lingual Representation Learning at Scale

Reference 17

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Source-reported events for the cited work

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Observation 55d1e64d-e168-43c6-a49a-eef47d05dc43 · outbound

This paper cites Banglabert: Bengali mask language model for bengali language understading,.

Social Media Sentiments Analysis on the July Revolution in Bangladesh: A Hybrid Transformer Based Machine Learning Approach Banglabert: Bengali mask language model for bengali language understading,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:21:32.252645Z

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 54e017df-afab-4dd0-8be8-0b8fbb9b3f2b · outbound

This paper cites Visualizing data using t-sne.,.

Social Media Sentiments Analysis on the July Revolution in Bangladesh: A Hybrid Transformer Based Machine Learning Approach Visualizing data using t-sne.,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:21:32.233809Z

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 fef02be5-e797-44d7-8a1c-0903c85f6d59 · outbound

This paper cites Umap: Uniform manifold approximation and projection,.

Social Media Sentiments Analysis on the July Revolution in Bangladesh: A Hybrid Transformer Based Machine Learning Approach Umap: Uniform manifold approximation and projection,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:21:32.208144Z

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 a450d05d-392b-40e8-826e-1a2fc6285c9c · outbound

This paper cites Principal component analysis,.

Social Media Sentiments Analysis on the July Revolution in Bangladesh: A Hybrid Transformer Based Machine Learning Approach Principal component analysis,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:21:32.187880Z

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 16a19b73-834e-4cea-9b18-b0effbbd32e7 · outbound

This paper cites an unresolved cited work.

Social Media Sentiments Analysis on the July Revolution in Bangladesh: A Hybrid Transformer Based Machine Learning Approach Unresolved cited work

Reference 22

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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 0dfe4316-aa6d-4662-b612-040d686084ec · outbound

This paper cites Support-vector networks,.

Social Media Sentiments Analysis on the July Revolution in Bangladesh: A Hybrid Transformer Based Machine Learning Approach Support-vector networks,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:21:32.119196Z

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 62ffb27f-e7cb-403f-a647-f1a4ea1a005d · outbound

This paper cites A hybrid machine learning approach utilizing cnn feature extraction with traditional classifier to identify strawberry leaf diseases,.

Social Media Sentiments Analysis on the July Revolution in Bangladesh: A Hybrid Transformer Based Machine Learning Approach A hybrid machine learning approach utilizing cnn feature extraction with traditional classifier to identify strawberry leaf diseases,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T17:21:31.593366Z

Source-reported events for the cited work

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Observation 01560a12-8dae-4145-b5bb-4836c1717847 · outbound

This paper cites Induction of decision trees,.

Social Media Sentiments Analysis on the July Revolution in Bangladesh: A Hybrid Transformer Based Machine Learning Approach Induction of decision trees,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:21:32.080172Z

Source-reported events for the cited work

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Observation 35f9102b-f5be-4e10-a353-81ff7d652263 · outbound

This paper cites Random forests,.

Social Media Sentiments Analysis on the July Revolution in Bangladesh: A Hybrid Transformer Based Machine Learning Approach Random forests,

Reference 26

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Source-reported events for the cited work

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Observation 33dc6423-ab83-4791-94de-3f2d9df4ebdd · outbound

This paper cites K-nearest neighbor,.

Social Media Sentiments Analysis on the July Revolution in Bangladesh: A Hybrid Transformer Based Machine Learning Approach K-nearest neighbor,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-06T17:21:31.609537Z

Source-reported events for the cited work

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Observation e0dbd237-4ea5-4f7a-8f83-a96285b4c72e · outbound

This paper cites An explainable ai-enhanced machine learning approach for cardiovascular disease detection and risk assessment,.

Social Media Sentiments Analysis on the July Revolution in Bangladesh: A Hybrid Transformer Based Machine Learning Approach An explainable ai-enhanced machine learning approach for cardiovascular disease detection and risk assessment,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:21:32.030072Z

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 f852b45b-f18f-4e32-94cc-c6bbdf6ff902 · outbound

This paper cites Xgboost: A scalable tree boosting system,.

Social Media Sentiments Analysis on the July Revolution in Bangladesh: A Hybrid Transformer Based Machine Learning Approach Xgboost: A scalable tree boosting system,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:21:32.007488Z

Source-reported events for the cited work

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Observation db9c8a53-fe0b-4a60-95e0-bd073d435029 · outbound

This paper cites An explainable ai driven machine learning approach for maternal health risk analysis,.

Social Media Sentiments Analysis on the July Revolution in Bangladesh: A Hybrid Transformer Based Machine Learning Approach An explainable ai driven machine learning approach for maternal health risk analysis,

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-06T17:21:31.625543Z

Source-reported events for the cited work

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Observation 96ccd13a-cb5b-42ad-aa16-4a99f3531991 · outbound

This paper cites Lightgbm: A highly efficient gradient boosting decision tree,.

Social Media Sentiments Analysis on the July Revolution in Bangladesh: A Hybrid Transformer Based Machine Learning Approach Lightgbm: A highly efficient gradient boosting decision tree,

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-06T17:21:31.630789Z

Source-reported events for the cited work

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Observation f63b07e6-7805-4192-ae6b-cc566a8f2b8f · outbound

This paper cites Catboost: unbiased boosting with categorical features,.

Social Media Sentiments Analysis on the July Revolution in Bangladesh: A Hybrid Transformer Based Machine Learning Approach Catboost: unbiased boosting with categorical features,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:21:31.964243Z

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 498cefa7-7276-4e8d-936a-b4c5b575aa37 · outbound

This paper cites Support vector machine ensemble with bagging,.

Social Media Sentiments Analysis on the July Revolution in Bangladesh: A Hybrid Transformer Based Machine Learning Approach Support vector machine ensemble with bagging,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:21:31.946501Z

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 33b0e8e9-768e-4441-8967-657af607e522 · outbound

This paper cites An efficient deep learning framework for brain stroke diagnosis using computed tomography (ct) images,.

Social Media Sentiments Analysis on the July Revolution in Bangladesh: A Hybrid Transformer Based Machine Learning Approach An efficient deep learning framework for brain stroke diagnosis using computed tomography (ct) images,

Reference 34

Resolution: verified exact; raw_fallback, observed 2026-08-06T17:21:31.834036Z

Source-reported events for the cited work

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Observation 957c3c53-b73f-41be-a994-bd296b38a74e · outbound

This paper cites A weighted voting classifier based on differential evolution,.

Social Media Sentiments Analysis on the July Revolution in Bangladesh: A Hybrid Transformer Based Machine Learning Approach A weighted voting classifier based on differential evolution,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:21:31.928226Z

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 6ce5f617-aed5-42a8-93a1-41a4507d8810 · outbound

This paper cites Greedy function approximation: a gradient boosting machine,.

Social Media Sentiments Analysis on the July Revolution in Bangladesh: A Hybrid Transformer Based Machine Learning Approach Greedy function approximation: a gradient boosting machine,

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-06T17:21:31.657326Z

Source-reported events for the cited work

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Observation 2e8182ba-1556-4bff-bbec-fd3fbb135057 · outbound

This paper cites Jellyfish species identification: A cnn-based artificial neural network approach,.

Social Media Sentiments Analysis on the July Revolution in Bangladesh: A Hybrid Transformer Based Machine Learning Approach Jellyfish species identification: A cnn-based artificial neural network approach,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:21:31.896851Z

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.