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Paper Citation Record · LEDGER

Quantized Convolutional Neural Networks for Mobile Devices

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1512.06473.

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

pith.paper-citation-record.v1
1512.06473 v3

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 2026-08-06T06:34:29.942622+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-12T15:21:28.893842Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T15:21:28.949575Z

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 d91f9fd2-66dc-4630-a2ca-1a8665499e17 · inbound

Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation cites this paper.

Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation Quantized Convolutional Neural Networks for Mobile Devices

Reference 43

Resolution
verified exact
arxiv_id, observed 2026-07-04T21:01:13.534829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-12T15:21:28.893842Z digest=sha256:32abfb05836a0d87d5aac720a120ca7eace4f4e0c87eacc589f2a04d2ed9fae3

Observation 5d702df5-15ab-4ad6-8a4a-3ded6a5f0978 · inbound

MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications cites this paper.

MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications Quantized Convolutional Neural Networks for Mobile Devices

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-07-04T21:01:13.534829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-11T02:50:40.222229Z digest=sha256:9a01736aa4ce7dfd91bc7d45294ddefb93694d47992adb7eac65ed83013f4f52