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Paper Citation Record · LEDGER

MultiProSE: A Multi-label Arabic Dataset for Propaganda, Sentiment, and Emotion Detection

As of 9 August 2026, this Paper Citation Record lists 3 of 3 outbound references and 0 inbound Pith citation observations for arXiv:2502.08319.

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

pith.paper-citation-record.v1
2502.08319 v1

Coverage vector

measured 3 of 3 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T05:40:32.190045Z

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

3 of 3 outbound references displayed

  • verified exact2
  • verified fuzzy0
  • unresolved1
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation df685bd4-159b-40ac-b7fd-87a2be6f61c2 · outbound

This paper cites COVID-19 in Bulgarian Social Media: Factuality, Harmfulness, Propaganda, and Framing,.

MultiProSE: A Multi-label Arabic Dataset for Propaganda, Sentiment, and Emotion Detection COVID-19 in Bulgarian Social Media: Factuality, Harmfulness, Propaganda, and Framing,

Reference 10

Resolution
verified exact
arxiv_id_nonexistent, observed 2026-08-08T05:40:32.547856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T05:40:32.181894Z digest=sha256:7394abce7bf4c0b48d007f0d69764cbbf4b89654ae3db553207106d60f1e1a41

Observation 9c4edf14-6d21-48e9-8cde-5a31af01f8b7 · outbound

This paper cites Arabic language sentiment analysis on health services,.

MultiProSE: A Multi-label Arabic Dataset for Propaganda, Sentiment, and Emotion Detection Arabic language sentiment analysis on health services,

Reference 31

Resolution
verified exact
arxiv_id_nonexistent, observed 2026-08-08T05:40:32.388393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T05:40:32.186380Z digest=sha256:e341baa6c37b558518f4bd60ea9b1980388a0b5f85ce21ba21c19a60b174c84e

Observation 2a81dd08-dd12-4d29-91ea-22384ab121a9 · outbound

This paper cites AraBERT: Transformer-based Model for Arabic Language Understanding.

MultiProSE: A Multi-label Arabic Dataset for Propaganda, Sentiment, and Emotion Detection AraBERT: Transformer-based Model for Arabic Language Understanding

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-08T05:40:32.190045Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T05:40:32.190045Z digest=sha256:13c7c79c4316cd07179557eb54b40e145d8099ee87eda2f0c5fcac58d292829b

Pith citing papers

No inbound Pith citation observations are available.