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Paper Citation Record · LEDGER

WER We Stand: Benchmarking Urdu ASR Models

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2409.11252.

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

pith.paper-citation-record.v1
2409.11252 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T20:48:03.828569Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T09:41:01.667451Z

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 49494215-10c4-414c-87af-0e27f7743fa6 · inbound

Assessing the Feasibility of Lightweight Whisper Models for Low-Resource Urdu Transcription cites this paper.

Assessing the Feasibility of Lightweight Whisper Models for Low-Resource Urdu Transcription WER We Stand: Benchmarking Urdu ASR Models

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-05T20:48:03.828569Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:48:03.828569Z digest=sha256:e0bc9c44a618768ccb675781b066c8c7a85579774601818daf53b57741b88f20

Observation 54870c94-a52b-496b-91b5-c4a2825802b8 · inbound

Benchmarking Multilingual Speech Models on Pashto: Zero-Shot ASR, Script Failure, and Cross-Domain Evaluation cites this paper.

Benchmarking Multilingual Speech Models on Pashto: Zero-Shot ASR, Script Failure, and Cross-Domain Evaluation WER We Stand: Benchmarking Urdu ASR Models

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-10T22:35:48.694344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-10T19:44:30.762851Z digest=sha256:30a0cce1949ae7333f92ef385bb1883f119f7fd5b17ccdea7b35cffbd5e4dcba

Observation a79ebd7e-7ffd-44f3-bf91-40ddee5ed0d0 · inbound

BlasBench: An Open Benchmark for Irish Speech Recognition cites this paper.

BlasBench: An Open Benchmark for Irish Speech Recognition WER We Stand: Benchmarking Urdu ASR Models

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-11T09:41:01.670531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-10T15:53:54.092426Z digest=sha256:fb1af3b4c0c3e8de41e817d74a0f75f6031e9f1f7c64b02da042ba5cda6f8da4