Pith. sign in

Paper Citation Record · LEDGER

Densely Connected Search Space for More Flexible Neural Architecture Search

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1906.09607.

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

pith.paper-citation-record.v1
1906.09607 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 2026-08-23T06:30:58.430688+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T05:10:54.932671Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T22:03:10.410964Z

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 4cbbf1d8-2f21-4bd4-96a4-ed162e9ed659 · inbound

Rethinking the Number of Channels for the Convolutional Neural Network cites this paper.

Rethinking the Number of Channels for the Convolutional Neural Network Densely Connected Search Space for More Flexible Neural Architecture Search

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-14T05:10:54.932671Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T05:10:54.932671Z digest=sha256:2a4965fe9dca09a85b3b5b7e8fcbb15a635e4ed1c2a6463fcf79a6654e030e6c

Observation b1c6d316-632d-4812-9883-05fe0ac908f6 · inbound

SHeRL-FL: When Representation Learning Meets Split Learning in Hierarchical Federated Learning cites this paper.

SHeRL-FL: When Representation Learning Meets Split Learning in Hierarchical Federated Learning Densely Connected Search Space for More Flexible Neural Architecture Search

Reference 39

Resolution
verified exact
local_arxiv, observed 2026-08-05T22:03:10.413614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T22:03:09.644922Z digest=sha256:2f54bbc8bf9d7aa3afa016be450372ad2b3c699798ddd5a4bf10e1b3629a6d8a