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Paper Citation Record · LEDGER

Towards Compact ConvNets via Structure-Sparsity Regularized Filter Pruning

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1901.07827.

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

pith.paper-citation-record.v1
1901.07827 v2

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 2026-08-15T23:13:19.855265Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T05:40:49.638481Z

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 e3a67481-d2d0-46b9-b5c0-a751206324f3 · inbound

Low-bit Model Quantization for Deep Neural Networks: A Survey cites this paper.

Low-bit Model Quantization for Deep Neural Networks: A Survey Towards Compact ConvNets via Structure-Sparsity Regularized Filter Pruning

Reference 99

Resolution
unresolved
no resolver link, observed 2026-08-15T23:13:19.855265Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:13:19.855265Z digest=sha256:291b25c868b55cd2cd454dd3c67fbd4627370e04f0c9acddd3c2a9e47a7dfebb

Observation a5e7bd7e-5369-4753-a220-fc18924e8d53 · inbound

FlashSVD: Memory-Efficient Inference with Streaming for Low-Rank Models cites this paper.

FlashSVD: Memory-Efficient Inference with Streaming for Low-Rank Models Towards Compact ConvNets via Structure-Sparsity Regularized Filter Pruning

Reference 15

Resolution
verified exact
local_arxiv, observed 2026-08-06T05:40:49.713172Z

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=pdf_text observed=2026-08-06T05:40:47.886142Z digest=sha256:c0f22820d6f0ff47cea74cc69bb61e4963cbde86a9f5babe8a21730d72c9470d