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Paper Citation Record · LEDGER

Designing Network Design Spaces

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2003.13678.

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

pith.paper-citation-record.v1
2003.13678 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:44:32.870759Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T10:44:33.248901Z

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 fac4bd12-5f0b-4406-91f4-907f39300da5 · inbound

Deep Learning for Absorption-Image Analysis cites this paper.

Deep Learning for Absorption-Image Analysis Designing Network Design Spaces

Reference 22

Resolution
verified exact
local_arxiv, observed 2026-08-07T10:44:33.365590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T10:44:32.870759Z digest=sha256:bbf6edd169c652e353e7a70c227b19e5b3d6f63ef754fef1079a3d2f22d6a919

Observation 24268a5b-24c1-4cf0-b0d4-5179e3b73b1f · inbound

Deep Learning for Accurate Vision-based Catch Composition in Tropical Tuna Purse Seiners cites this paper.

Deep Learning for Accurate Vision-based Catch Composition in Tropical Tuna Purse Seiners Designing Network Design Spaces

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-04T06:49:05.092229Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T06:49:05.092229Z digest=sha256:b7ad32f1bab325481051ff8791fbb3c3071f1e29107916655f87394191192279

Observation 13537002-8691-47aa-8a13-275a19f2a91f · inbound

GenSyn10: A Multi-Generative AI Dataset For Benchmarking Image Classification cites this paper.

GenSyn10: A Multi-Generative AI Dataset For Benchmarking Image Classification Designing Network Design Spaces

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-02T07:41:39.593248Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T07:41:39.593248Z digest=sha256:02c45d8d596179f0c437965683630e79cd7c21532e0548d43b7d6f05b35f0b0d