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Paper Citation Record · LEDGER

C3: Concentrated-Comprehensive Convolution and its application to semantic segmentation

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1812.04920.

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

pith.paper-citation-record.v1
1812.04920 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 2026-08-15T06:32:42.880941+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T15:09:18.176346Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-14T14:29:08.185463Z

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 6222f758-fc8d-4b54-887b-df93e05d11b9 · inbound

SqueezeNAS: Fast neural architecture search for faster semantic segmentation cites this paper.

SqueezeNAS: Fast neural architecture search for faster semantic segmentation C3: Concentrated-Comprehensive Convolution and its application to semantic segmentation

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-14T15:09:18.176346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T15:09:18.176346Z digest=sha256:3ab891d04683b28bc9c082e8b46edd21487ceee11f1d792efa8b614fe2cc9ba8

Observation 4306a273-d27e-425f-95cf-c84cb8fdc80e · inbound

ExtremeC3Net: Extreme Lightweight Portrait Segmentation Networks using Advanced C3-modules cites this paper.

ExtremeC3Net: Extreme Lightweight Portrait Segmentation Networks using Advanced C3-modules C3: Concentrated-Comprehensive Convolution and its application to semantic segmentation

Reference 12

Resolution
verified exact
local_arxiv, observed 2026-08-14T14:29:08.192149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T14:29:07.978440Z digest=sha256:ee18adf95f85d986ec9cf8f0a6e2a6179a3fd2b84fae536db79186cec9d608e6