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Paper Citation Record · LEDGER

Self-training and Pre-training are Complementary for Speech Recognition

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2010.11430.

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

pith.paper-citation-record.v1
2010.11430 v1

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 2026-08-15T06:32:42.880941+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T13:48:38.628572Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T09:41:38.151861Z

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 d2e12b78-27e9-4896-a042-ab324da522dd · inbound

Vision Transformers Need Registers cites this paper.

Vision Transformers Need Registers Self-training and Pre-training are Complementary for Speech Recognition

Reference 122

Resolution
verified exact
arxiv_id, observed 2026-05-13T09:41:38.153400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-05-13T09:41:37.937046Z digest=sha256:7fc6f981c9b71950744c3a4dc9ed62d008915cca5b3d8706c2e96431a32048e3

Observation fed61ab0-fb20-4c67-a083-caa27010f843 · inbound

High-precision medical speech recognition through synthetic data and semantic correction: UNITED-MEDASR cites this paper.

High-precision medical speech recognition through synthetic data and semantic correction: UNITED-MEDASR Self-training and Pre-training are Complementary for Speech Recognition

Reference 2020

Resolution
unresolved
no resolver link, observed 2026-08-12T13:48:38.628572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:48:38.628572Z digest=sha256:4c4b859f972b1c1cc41c0ad5ff256a5b7985e613acb7ff5a59064c5b67244586