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Paper Citation Record · LEDGER

Pre-Training BERT on Arabic Tweets: Practical Considerations

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2102.10684.

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

pith.paper-citation-record.v1
2102.10684 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:01:34.091422Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

85
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation e20de8a9-37b1-4642-b07b-189a677cbec5 · inbound

Optimizing RAG Pipelines for Arabic: A Systematic Analysis of Core Components cites this paper.

Optimizing RAG Pipelines for Arabic: A Systematic Analysis of Core Components Pre-Training BERT on Arabic Tweets: Practical Considerations

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-07T12:01:34.091422Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:01:34.091422Z digest=sha256:fbb013535412393c50d9446b63e330858265f0d7118b14b0b650bde899f1ac7d

Observation 8da42460-5ebe-4b65-b630-2d7b778a09b0 · inbound

Arabic Hate Speech Identification and Masking in Social Media using Deep Learning Models and Pre-trained Models Fine-tuning cites this paper.

Arabic Hate Speech Identification and Masking in Social Media using Deep Learning Models and Pre-trained Models Fine-tuning Pre-Training BERT on Arabic Tweets: Practical Considerations

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-06T10:32:59.371027Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:32:59.371027Z digest=sha256:87f75039fa7a93111085191a9e6bc93fcc6a9becef7c06aa82faea70a017f677

Observation 26f94b66-0280-4518-a840-43dba5d91c70 · inbound

SHAMI-MT: A Syrian Arabic Dialect to Modern Standard Arabic Bidirectional Machine Translation System cites this paper.

SHAMI-MT: A Syrian Arabic Dialect to Modern Standard Arabic Bidirectional Machine Translation System Pre-Training BERT on Arabic Tweets: Practical Considerations

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-06T05:07:16.492281Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:07:16.492281Z digest=sha256:e04019aae24d0008a76941deedce55e3e4dd939452c95b4422ff86ab078e5224

Observation 4e27be8f-14a8-4745-a299-8cc115c196d1 · inbound

CVPD at QIAS 2025 Shared Task: An Efficient Encoder-Based Approach for Islamic Inheritance Reasoning cites this paper.

CVPD at QIAS 2025 Shared Task: An Efficient Encoder-Based Approach for Islamic Inheritance Reasoning Pre-Training BERT on Arabic Tweets: Practical Considerations

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-05T13:36:26.947238Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T13:36:26.947238Z digest=sha256:5a4816ffdf7e1dbbcab74ba27ccaede2922e7f9611025ba0b64cd04f3a7d8e10

Observation 262522f6-34c2-4d97-9716-ae6e700f99b3 · inbound

Spam and Sentiment Detection in Arabic Tweets Using MARBERT Model cites this paper.

Spam and Sentiment Detection in Arabic Tweets Using MARBERT Model Pre-Training BERT on Arabic Tweets: Practical Considerations

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-06-25T20:58:21.044869Z

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.

source=pdf_text observed=2026-06-25T20:54:16.048867Z digest=sha256:34caa8b6abae3e2ff6dc415de65830b70844492c4fe6569673927f62ee0b0ecb