Paper Citation Record · LEDGER

ArabicMMLU: Assessing Massive Multitask Language Understanding in Arabic

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2402.12840.

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

pith.paper-citation-record.v1
2402.12840 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:00:33.799626Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T14:11:13.878324Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 13c49c8c-52b5-473e-8fed-3323e505ce1c · inbound

Evaluating Large Language Model with Knowledge Oriented Language Specific Simple Question Answering cites this paper.

Evaluating Large Language Model with Knowledge Oriented Language Specific Simple Question Answering ArabicMMLU: Assessing Massive Multitask Language Understanding in Arabic

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-07T15:00:33.799626Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7a77dfd9-3344-4fa0-ad00-4b36543393b8 · inbound

FineWeb2: One Pipeline to Scale Them All -- Adapting Pre-Training Data Processing to Every Language cites this paper.

FineWeb2: One Pipeline to Scale Them All -- Adapting Pre-Training Data Processing to Every Language ArabicMMLU: Assessing Massive Multitask Language Understanding in Arabic

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-06T22:46:39.027217Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 311d39e2-466b-47ae-ac64-3f46161a0868 · inbound

Towards Inclusive NLP: Assessing Compressed Multilingual Transformers across Diverse Language Benchmarks cites this paper.

Towards Inclusive NLP: Assessing Compressed Multilingual Transformers across Diverse Language Benchmarks ArabicMMLU: Assessing Massive Multitask Language Understanding in Arabic

Reference 15

Resolution: metadata mismatch; local_arxiv, observed 2026-08-06T14:11:13.921117Z

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.

Observation 5fd583bb-a50a-4749-b69c-4fe88d603cdc · inbound

RightNow-Arabic-0.5B-Turbo: An Open Sub-1B Arabic Language Model via Vocabulary Injection and Edge-First Deployment cites this paper.

RightNow-Arabic-0.5B-Turbo: An Open Sub-1B Arabic Language Model via Vocabulary Injection and Edge-First Deployment ArabicMMLU: Assessing Massive Multitask Language Understanding in Arabic

Reference 5

Resolution: unresolved; no resolver link, observed 2026-07-12T23:41:46.854165Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.