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Paper Citation Record · LEDGER

Retraining-Based Iterative Weight Quantization for Deep Neural Networks

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1805.11233.

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

pith.paper-citation-record.v1
1805.11233 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 2026-08-18T06:34:40.430872+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T14:15:23.922782Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T04:30:55.716379Z

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 7efd19bb-96d0-4565-9222-9bed8cef6dca · inbound

Building Efficient Lightweight CNN Models cites this paper.

Building Efficient Lightweight CNN Models Retraining-Based Iterative Weight Quantization for Deep Neural Networks

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-10T14:15:23.922782Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T14:15:23.922782Z digest=sha256:5b771604faac710e603778b336b80f8f4e958bd55c158c63509489da7f649e72

Observation 76e632c6-c066-4fb5-b4af-05a413ba67d0 · inbound

Edge Deep Learning in Computer Vision and Medical Diagnostics: A Comprehensive Survey cites this paper.

Edge Deep Learning in Computer Vision and Medical Diagnostics: A Comprehensive Survey Retraining-Based Iterative Weight Quantization for Deep Neural Networks

Reference 172

Resolution
verified exact
arxiv_id, observed 2026-07-04T22:48:23.265124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-11T01:19:51.418374Z digest=sha256:fa2dbc7ea9ee2fdcb53dabf6c1d3a6062d9bd394f8ac636dc965d78aad88fa87