Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
ASR data augmentation in low-resource settings using cross-lingual multi-speaker TTS and cross-lingual voice conversion
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2204.00618.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T04:51:24.918512Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T22:49:03.078235Z
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 f14eac3a-6a04-4d08-9be0-c1a874987750 · inbound
Recognizing Every Voice: Towards Inclusive ASR for Rural Bhojpuri Women cites this paper.
Recognizing Every Voice: Towards Inclusive ASR for Rural Bhojpuri Women ASR data augmentation in low-resource settings using cross-lingual multi-speaker TTS and cross-lingual voice conversion
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T04:51:24.918512Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d6203fe9-a089-4b1c-af78-4bfc4caa93e2 · inbound
TASU2: Controllable CTC Simulation for Alignment and Low-Resource Adaptation of Speech LLMs cites this paper.
TASU2: Controllable CTC Simulation for Alignment and Low-Resource Adaptation of Speech LLMs ASR data augmentation in low-resource settings using cross-lingual multi-speaker TTS and cross-lingual voice conversion
Reference 21
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T07:06:12.245913Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation a09333c8-93db-47c7-84ae-a93127086f0a · inbound
An Analysis of the Effectiveness of Synthetic Speech Data for ASR Fine-tuning in Selected Indic Languages cites this paper.
An Analysis of the Effectiveness of Synthetic Speech Data for ASR Fine-tuning in Selected Indic Languages ASR data augmentation in low-resource settings using cross-lingual multi-speaker TTS and cross-lingual voice conversion
Reference 12
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T22:49:03.081176Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.