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Paper Citation Record · LEDGER

CondenseNet: An Efficient DenseNet using Learned Group Convolutions

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:1711.09224.

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

pith.paper-citation-record.v1
1711.09224 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:48:05.759037Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-09T21:57:13.767027Z

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 0f0d28b1-b772-444c-a4ab-a5e4b562527f · inbound

Accelerated CNN Training Through Gradient Approximation cites this paper.

Accelerated CNN Training Through Gradient Approximation CondenseNet: An Efficient DenseNet using Learned Group Convolutions

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-14T13:16:42.151217Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T13:16:42.151217Z digest=sha256:d0710534e232bae23abba89e70edaad5f6ad3e7573dec65926ee4a2dd4f21d9e

Observation 92527c2c-c334-4547-ac2f-98c28a176ab5 · inbound

PSDNet and DPDNet: Efficient channel expansion, Depthwise-Pointwise-Depthwise Inverted Bottleneck Block cites this paper.

PSDNet and DPDNet: Efficient channel expansion, Depthwise-Pointwise-Depthwise Inverted Bottleneck Block CondenseNet: An Efficient DenseNet using Learned Group Convolutions

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-14T05:32:32.267208Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T05:32:32.267208Z digest=sha256:93c6f3afd10295b7483ced4654553bf13debce8dd63c561b94fa2bf0d7002fe4

Observation 1d969325-7e88-42c8-86d4-f9246e1d54f1 · inbound

StruM: Structured Mixed Precision for Efficient Deep Learning Hardware Codesign cites this paper.

StruM: Structured Mixed Precision for Efficient Deep Learning Hardware Codesign CondenseNet: An Efficient DenseNet using Learned Group Convolutions

Reference 21

Resolution
metadata mismatch
local_arxiv, observed 2026-08-09T21:57:13.777345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-09T21:57:13.602093Z digest=sha256:98cfe1f57b4a13a86875cb79f2cac6f9b06d297d42e38f29284d86de4d3f34da

Observation d4dfbda7-cac3-4aed-8308-b4bae3bffa2c · inbound

A Novel Compiler Transformation for Fast Sparse Matrix Multiplication in GPUs cites this paper.

A Novel Compiler Transformation for Fast Sparse Matrix Multiplication in GPUs CondenseNet: An Efficient DenseNet using Learned Group Convolutions

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-15T19:48:05.759037Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:48:05.759037Z digest=sha256:7e0557f795c75405f0411596de7dd1d978698f78ab33d7e86260010c9d447054