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Paper Citation Record · LEDGER

NeST: A Neural Network Synthesis Tool Based on a Grow-and-Prune Paradigm

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1711.02017.

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

pith.paper-citation-record.v1
1711.02017 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 2026-08-20T06:33:59.587034+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T11:02:01.344633Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-14T04:48:18.713945Z

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 d44a482f-51c2-4280-aeb7-6c7ee1e0018b · inbound

DeepHoyer: Learning Sparser Neural Network with Differentiable Scale-Invariant Sparsity Measures cites this paper.

DeepHoyer: Learning Sparser Neural Network with Differentiable Scale-Invariant Sparsity Measures NeST: A Neural Network Synthesis Tool Based on a Grow-and-Prune Paradigm

Reference 2017

Resolution
unresolved
no resolver link, observed 2026-08-14T11:02:01.344633Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T11:02:01.344633Z digest=sha256:1d21840f5f9694193b453dacd20e2ea4d1774a183e9f8e585bdc233062e8ade6

Observation e8a07780-24f0-4b91-8e42-60860ce418bc · inbound

PCONV: The Missing but Desirable Sparsity in DNN Weight Pruning for Real-time Execution on Mobile Devices cites this paper.

PCONV: The Missing but Desirable Sparsity in DNN Weight Pruning for Real-time Execution on Mobile Devices NeST: A Neural Network Synthesis Tool Based on a Grow-and-Prune Paradigm

Reference 2017

Resolution
metadata mismatch
local_arxiv, observed 2026-08-14T04:48:18.719448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T04:48:18.522821Z digest=sha256:12e04b7bc363d91bb859e57942db0288f8d40f3921bcce8443f357e2292f212f