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Paper Citation Record · LEDGER

LiCo-Net: Linearized Convolution Network for Hardware-efficient Keyword Spotting

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2211.04635.

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

pith.paper-citation-record.v1
2211.04635 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 2026-08-19T06:32:44.657259+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:55:07.534797Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T04:34:03.309956Z

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 71f11a81-0fff-44d9-8c3c-8047a23abb98 · inbound

Efficient Continual Learning in Keyword Spotting using Binary Neural Networks cites this paper.

Efficient Continual Learning in Keyword Spotting using Binary Neural Networks LiCo-Net: Linearized Convolution Network for Hardware-efficient Keyword Spotting

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-16T00:55:07.534797Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:55:07.534797Z digest=sha256:e4d917fa7362b961e016cd9069ffffebe7eae3078e5ce159daf0d5132f666852

Observation 793d276e-d174-47d0-8f64-650dd6f94fab · inbound

Advances in Small-Footprint Keyword Spotting: A Comprehensive Review of Efficient Models and Algorithms cites this paper.

Advances in Small-Footprint Keyword Spotting: A Comprehensive Review of Efficient Models and Algorithms LiCo-Net: Linearized Convolution Network for Hardware-efficient Keyword Spotting

Reference 54

Resolution
verified exact
local_arxiv, observed 2026-08-07T04:34:03.396599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T04:33:44.877155Z digest=sha256:93edc7181c29a89e646103910f8faf75a0245765afb0bf772b66b21397b1c6ee