Paper Citation Record · LEDGER

From Statistical Methods to Pre-Trained Models; A Survey on Automatic Speech Recognition for Resource Scarce Urdu Language

As of 14 August 2026, this Paper Citation Record lists 9 of 9 outbound references and 2 inbound Pith citation observations for arXiv:2411.14493.

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

pith.paper-citation-record.v1
2411.14493 v1

Coverage vector

measured 9 of 9 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T16:25:23.615980Z

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T20:48:03.807953Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T01:17:54.803966Z

Reference resolution

9 of 9 outbound references displayed

verified exact0
verified fuzzy1
unresolved8
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation cf8d35af-1ae9-4193-ba1b-9b7295043d86 · outbound

This paper cites an unresolved cited work.

From Statistical Methods to Pre-Trained Models; A Survey on Automatic Speech Recognition for Resource Scarce Urdu Language Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-12T16:25:23.705911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ae211dd8-8614-4365-b3c5-7deff622d070 · outbound

This paper cites Deep Neural Network Acoustic Models for ASR (Doctoral dissertation, University of Toronto.

From Statistical Methods to Pre-Trained Models; A Survey on Automatic Speech Recognition for Resource Scarce Urdu Language Deep Neural Network Acoustic Models for ASR (Doctoral dissertation, University of Toronto

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:25:23.678983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 928092d2-33c9-41e1-acc7-d1ea5dc2e00d · outbound

This paper cites an unresolved cited work.

From Statistical Methods to Pre-Trained Models; A Survey on Automatic Speech Recognition for Resource Scarce Urdu Language Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-08-12T16:25:23.688007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 095d1dff-c34d-4764-80a2-f72c77082cc8 · outbound

This paper cites OPT: Open Pre-trained Transformer Language Models.

From Statistical Methods to Pre-Trained Models; A Survey on Automatic Speech Recognition for Resource Scarce Urdu Language OPT: Open Pre-trained Transformer Language Models

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-12T16:25:23.615980Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2be05799-a449-4506-8c1e-f035e4b06800 · outbound

This paper cites IndicSUPERB: A Speech Processing Universal Performance Benchmark for Indian languages.

From Statistical Methods to Pre-Trained Models; A Survey on Automatic Speech Recognition for Resource Scarce Urdu Language IndicSUPERB: A Speech Processing Universal Performance Benchmark for Indian languages

Reference 161

Resolution: unresolved; no resolver link, observed 2026-08-12T16:25:23.602024Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d22602b5-6f27-4c03-990b-5e56fa991be1 · outbound

This paper cites LaMDA: Language Models for Dialog Applications.

From Statistical Methods to Pre-Trained Models; A Survey on Automatic Speech Recognition for Resource Scarce Urdu Language LaMDA: Language Models for Dialog Applications

Reference 262

Resolution: unresolved; no resolver link, observed 2026-08-12T16:25:23.608815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e67e1675-0b7e-4bb8-833d-6b516d75280d · outbound

This paper cites ESPnet: End-to-End Speech Processing Toolkit.

From Statistical Methods to Pre-Trained Models; A Survey on Automatic Speech Recognition for Resource Scarce Urdu Language ESPnet: End-to-End Speech Processing Toolkit

Reference 1018

Resolution: unresolved; no resolver link, observed 2026-08-12T16:25:23.612260Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9573252f-5beb-4e64-bfee-b3db67792e69 · outbound

This paper cites an unresolved cited work.

From Statistical Methods to Pre-Trained Models; A Survey on Automatic Speech Recognition for Resource Scarce Urdu Language Unresolved cited work

Reference 1956

Resolution: unresolved; raw_fallback, observed 2026-08-12T16:25:23.696845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 1cfc47d8-9bf8-4b9b-9640-644f0a812c32 · outbound

This paper cites Multilingual and code-switching ASR challenges for low resource Indian languages.

From Statistical Methods to Pre-Trained Models; A Survey on Automatic Speech Recognition for Resource Scarce Urdu Language Multilingual and code-switching ASR challenges for low resource Indian languages

Reference 8842

Resolution: unresolved; no resolver link, observed 2026-08-12T16:25:23.594307Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 895f1b79-a096-4b11-8568-2980f5d33d61 · 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 From Statistical Methods to Pre-Trained Models; A Survey on Automatic Speech Recognition for Resource Scarce Urdu Language

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-05T20:48:03.807953Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9be3aa97-e994-4f53-b60c-d0065a93504b · inbound

UrduSpeech: A 156-Hour Urdu Speech Corpus with 12-Dimension Paralinguistic Annotations cites this paper.

UrduSpeech: A 156-Hour Urdu Speech Corpus with 12-Dimension Paralinguistic Annotations From Statistical Methods to Pre-Trained Models; A Survey on Automatic Speech Recognition for Resource Scarce Urdu Language

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-20T01:17:54.807083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.