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Paper Citation Record · LEDGER

English Conversational Telephone Speech Recognition by Humans and Machines

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:1703.02136.

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

pith.paper-citation-record.v1
1703.02136 v1

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 2026-08-23T06:30:58.430688+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T19:43:01.960751Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-12T19:43:02.350339Z

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 ed306893-a7be-47ee-b441-72d8d69ab381 · inbound

MARS: Unleashing the Power of Variance Reduction for Training Large Models cites this paper.

MARS: Unleashing the Power of Variance Reduction for Training Large Models English Conversational Telephone Speech Recognition by Humans and Machines

Reference 70

Resolution
verified exact
local_arxiv, observed 2026-08-12T19:43:02.356237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-12T19:43:01.960751Z digest=sha256:5e9fd9bc85b2b7837436d1c5fd947bad8ddac8ee205ae28bc4c5b85bb37b2bd0