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Paper Citation Record · LEDGER

NISP: Pruning Networks using Neuron Importance Score Propagation

As of 13 July 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1711.05908.

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

pith.paper-citation-record.v1
1711.05908 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

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-24T18:44:12.031882Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-24T18:44:49.163486Z

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 2c692230-4428-46b4-b6fa-98bb690df6ea · inbound

Open DNN Box by Power Side-Channel Attack cites this paper.

Open DNN Box by Power Side-Channel Attack NISP: Pruning Networks using Neuron Importance Score Propagation

Reference 49

Resolution
verified exact
local_arxiv, observed 2026-05-24T18:44:49.168391Z

Source-reported events for the cited work

Unavailable: named source frontier unavailable.

source=pdf_text observed=2026-05-24T18:44:12.031882Z digest=sha256:2bcd4b3858b2814f3c40163f9e1fa54c003e9c04d0d42f2a9723108e60dbb696

Observation 22b311f9-21e6-4332-897e-f2840e998631 · inbound

Vanishing Contributions: A Unified Framework for Smooth and Iterative Model Compression cites this paper.

Vanishing Contributions: A Unified Framework for Smooth and Iterative Model Compression NISP: Pruning Networks using Neuron Importance Score Propagation

Reference 22

Resolution
verified exact
local_arxiv, observed 2026-05-18T08:41:07.998767Z

Source-reported events for the cited work

Unavailable: named source frontier unavailable.

source=pdf_text observed=2026-05-18T08:38:52.367887Z digest=sha256:68a49c7acaf97273487e30251a376b76be35d5b3cc975fecb13a5ea4b449b64a