Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
LAHAJA: A Robust Multi-accent Benchmark for Evaluating Hindi ASR Systems
As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2408.11440.
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 2026-08-13T06:32:02.005865+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T21:19:31.740390Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T07:39:39.265819Z
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 0f00a550-0de4-493b-b82a-2b4902142ced · inbound
NIRANTAR: Continual Learning with New Languages and Domains on Real-world Speech Data cites this paper.
NIRANTAR: Continual Learning with New Languages and Domains on Real-world Speech Data LAHAJA: A Robust Multi-accent Benchmark for Evaluating Hindi ASR Systems
Reference 52
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T21:19:31.740390Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c29acb22-befc-4a2b-ac6c-dfa141b02878 · inbound
A study on the impact of region specific data on the performance of Indic ASR cites this paper.
A study on the impact of region specific data on the performance of Indic ASR LAHAJA: A Robust Multi-accent Benchmark for Evaluating Hindi ASR Systems
Reference 10
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T03:37:35.604469Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 346d81ab-4f2f-4f35-a297-9b305bd280a1 · inbound
Vaani Benchmark V1.0: An Inclusive Multimodal Benchmark Dataset for Hindi cites this paper.
Vaani Benchmark V1.0: An Inclusive Multimodal Benchmark Dataset for Hindi LAHAJA: A Robust Multi-accent Benchmark for Evaluating Hindi ASR Systems
Reference 9
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T07:39:39.268103Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.