Pith. sign in

Paper Citation Record · LEDGER

Dual Graph Convolutional Network for Semantic Segmentation

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1909.06121.

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

pith.paper-citation-record.v1
1909.06121 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 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T22:10:31.332490Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T04:38:22.908510Z

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 3151d84d-f113-44aa-b58c-98322d5f877a · inbound

HetSSNet: Spatial-Spectral Heterogeneous Graph Learning Network for Panchromatic and Multispectral Images Fusion cites this paper.

HetSSNet: Spatial-Spectral Heterogeneous Graph Learning Network for Panchromatic and Multispectral Images Fusion Dual Graph Convolutional Network for Semantic Segmentation

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-08T22:10:31.332490Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T22:10:31.332490Z digest=sha256:77c6ae08a4425a8987135d2ec28356b70aaf3cce23ff900c9c87f31caf4453b1

Observation ca5b98b9-b9f9-4a4c-a8b6-7b088badc8e9 · inbound

Neovascularization Segmentation via a Multilateral Interaction-Enhanced Graph Convolutional Network cites this paper.

Neovascularization Segmentation via a Multilateral Interaction-Enhanced Graph Convolutional Network Dual Graph Convolutional Network for Semantic Segmentation

Reference 34

Resolution
verified exact
local_arxiv, observed 2026-08-06T04:38:23.062712Z

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=2026-08-06T04:38:19.590483Z digest=sha256:1974aab717bee14cdfc8e66db97f6a5bf53c315e2a03929ee76ec09f45f26e36