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Paper Citation Record · LEDGER

ContextNet: Improving Convolutional Neural Networks for Automatic Speech Recognition with Global Context

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2005.03191.

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

pith.paper-citation-record.v1
2005.03191 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T16:39:03.642101Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T12:09:13.131940Z

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 343f01e8-c800-4431-b568-d25b3f9e3a0c · inbound

TPCNet: Representation learning for HI mapping cites this paper.

TPCNet: Representation learning for HI mapping ContextNet: Improving Convolutional Neural Networks for Automatic Speech Recognition with Global Context

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-12T16:39:03.642101Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T16:39:03.642101Z digest=sha256:68ad6cc38e4bdce6f40bbb39478e1dff38d4d987e60612366e32c2d3372422f8

Observation 9423b4d5-1e81-40dc-b6b1-5435789f8ca4 · inbound

Let SSMs be ConvNets: State-space Modeling with Optimal Tensor Contractions cites this paper.

Let SSMs be ConvNets: State-space Modeling with Optimal Tensor Contractions ContextNet: Improving Convolutional Neural Networks for Automatic Speech Recognition with Global Context

Reference 1994

Resolution
unresolved
no resolver link, observed 2026-08-10T16:26:51.216685Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T16:26:51.216685Z digest=sha256:0fb03296a26c71955b6bdd65727d8e0e3daa003d526ad83cbf34159a88ed8a8e

Observation f0017b8a-b4d2-46de-ba37-83ae36bbc782 · inbound

The Interspeech 2025 Speech Accessibility Project Challenge cites this paper.

The Interspeech 2025 Speech Accessibility Project Challenge ContextNet: Improving Convolutional Neural Networks for Automatic Speech Recognition with Global Context

Reference 2020

Resolution
metadata mismatch
local_arxiv, observed 2026-08-06T12:09:13.207358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T12:09:13.034354Z digest=sha256:d58a4f208acd4a7b8c5ecdbbd0d7b0e936ac2fd8601f89e13eb7c829f6710c53