Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
AraGPT2: Pre-Trained Transformer for Arabic Language Generation
As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2012.15520.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T21:37:26.890697Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-10T00:24:47.227482Z
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 3017f546-78f6-49b0-9f9b-e0e2c86d7bd0 · inbound
Arabic Stable LM: Adapting Stable LM 2 1.6B to Arabic cites this paper.
Arabic Stable LM: Adapting Stable LM 2 1.6B to Arabic AraGPT2: Pre-Trained Transformer for Arabic Language Generation
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T21:37:26.890697Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation eec9bd77-5944-4aa2-95bd-647647df829c · 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 AraGPT2: Pre-Trained Transformer for Arabic Language Generation
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T14:11:11.188883Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d425fdf5-357e-4d81-b8d3-f36f4bd9c306 · inbound
Machine learning and emoji prediction: How much accuracy can MARBERT achieve? cites this paper.
Machine learning and emoji prediction: How much accuracy can MARBERT achieve? AraGPT2: Pre-Trained Transformer for Arabic Language Generation
Reference 3
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T00:24:47.228728Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.