Paper Citation Record · LEDGER

Casablanca: Data and Models for Multidialectal Arabic Speech Recognition

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2410.04527.

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

pith.paper-citation-record.v1
2410.04527 v1

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 2026-08-19T06:32:44.657259+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:38:53.998687Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T12:00:48.307029Z

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 84286e7c-4ef7-45b6-8554-397610b3fb59 · inbound

Open Universal Arabic ASR Leaderboard cites this paper.

Open Universal Arabic ASR Leaderboard Casablanca: Data and Models for Multidialectal Arabic Speech Recognition

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-11T12:51:45.505666Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aee34a09-49e1-41bf-a604-7e410690b41c · inbound

Advancing Arabic Speech Recognition Through Large-Scale Weakly Supervised Learning cites this paper.

Advancing Arabic Speech Recognition Through Large-Scale Weakly Supervised Learning Casablanca: Data and Models for Multidialectal Arabic Speech Recognition

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-16T12:38:53.998687Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ac36fec8-9bb1-454b-95ee-e4263e27c60e · inbound

NADI 2025: The First Multidialectal Arabic Speech Processing Shared Task cites this paper.

NADI 2025: The First Multidialectal Arabic Speech Processing Shared Task Casablanca: Data and Models for Multidialectal Arabic Speech Recognition

Reference 85

Resolution: verified exact; local_arxiv, observed 2026-08-05T12:00:48.311789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation bdcd86b3-edeb-4955-be61-50a719fc68b7 · inbound

The ML-SUPERB 2.0 Challenge: Towards Inclusive ASR Benchmarking for All Language Varieties cites this paper.

The ML-SUPERB 2.0 Challenge: Towards Inclusive ASR Benchmarking for All Language Varieties Casablanca: Data and Models for Multidialectal Arabic Speech Recognition

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-15T16:16:37.839473Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.