Pith. sign in

Paper Citation Record · LEDGER

Towards Building ASR Systems for the Next Billion Users

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2111.03945.

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

pith.paper-citation-record.v1
2111.03945 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-12T06:31:45.160977Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T07:15:59.748819Z

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 3574f0a6-1318-42fd-9b36-4d535bc0ae14 · inbound

Enhancing ASR Performance in the Medical Domain for Dravidian Languages cites this paper.

Enhancing ASR Performance in the Medical Domain for Dravidian Languages Towards Building ASR Systems for the Next Billion Users

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-11T07:15:59.752209Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-10T17:15:32.992695Z digest=sha256:c4f0c8de92f3d696e72808b943778750c9078c62739780a66d050287e3a7faa2

Observation e1675d79-dce0-477d-bbed-21b849daf3ba · inbound

Jointly Improving Dialect Identification and ASR in Indian Languages using Multimodal Feature Fusion cites this paper.

Jointly Improving Dialect Identification and ASR in Indian Languages using Multimodal Feature Fusion Towards Building ASR Systems for the Next Billion Users

Reference 38

Resolution
unresolved
no resolver link, observed 2026-07-12T06:31:45.160977Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T06:31:45.160977Z digest=sha256:95c06aa74c8698779294150cd4e7f137e90b471cf26beb0e8a5d0c0a448f29f6