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Paper Citation Record · LEDGER

Shorten Spatial-spectral RNN with Parallel-GRU for Hyperspectral Image Classification

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1810.12563.

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

pith.paper-citation-record.v1
1810.12563 v1

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 2026-08-19T06:32:44.657259+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:37:42.386349Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-08T17:37:04.769983Z

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 4dee2a49-0f3a-4a05-a523-2005e4852384 · inbound

AI-Driven HSI: Multimodality, Fusion, Challenges, and the Deep Learning Revolution cites this paper.

AI-Driven HSI: Multimodality, Fusion, Challenges, and the Deep Learning Revolution Shorten Spatial-spectral RNN with Parallel-GRU for Hyperspectral Image Classification

Reference 215

Resolution
verified exact
local_arxiv, observed 2026-08-08T17:37:04.774537Z

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=2026-08-08T17:37:04.405225Z digest=sha256:0c9bc72c086d8fcfffeee768fd00bce7e25eb3c98d89e5b95de4b1bc8104a00b

Observation ba2b9568-fcfa-4741-b46d-756ee78fd870 · inbound

Advancing Wheat Crop Analysis: A Survey of Deep Learning Approaches Using Hyperspectral Imaging cites this paper.

Advancing Wheat Crop Analysis: A Survey of Deep Learning Approaches Using Hyperspectral Imaging Shorten Spatial-spectral RNN with Parallel-GRU for Hyperspectral Image Classification

Reference 75

Resolution
unresolved
no resolver link, observed 2026-08-16T04:37:42.386349Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:37:42.386349Z digest=sha256:35fbb59f1c5fa99fa73e984dea7fa098827dab2e72314d66e02f01f325d6cbfd