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Paper Citation Record · LEDGER

Improving Mandarin Speech Recogntion with Block-augmented Transformer

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2207.11697.

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

pith.paper-citation-record.v1
2207.11697 v5

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 1 of 1 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T04:59:13.230166Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-12T04:59:13.333899Z

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 3e7047f1-e9b6-4e9d-a336-7b7d334137f4 · inbound

Complexity boosted adaptive training for better low resource ASR performance cites this paper.

Complexity boosted adaptive training for better low resource ASR performance Improving Mandarin Speech Recogntion with Block-augmented Transformer

Reference 19

Resolution
verified exact
local_arxiv, observed 2026-08-12T04:59:13.336947Z

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=pdf_text observed=2026-08-12T04:59:13.230166Z digest=sha256:ad6f4a32b69bc642b0e951b4918a50b182df702a7a5027d0763d92c9e25417d7