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Paper Citation Record · LEDGER

Efficient Dynamic Attention 3D Convolution for Hyperspectral Image Classification

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2503.23472.

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

pith.paper-citation-record.v1
2503.23472 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 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:18:45.814085Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T19:53:13.925665Z

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 08d2fc20-9021-4f97-a1f4-471dc2864cd5 · inbound

Hyperspectral Image Classification via Transformer-based Spectral-Spatial Attention Decoupling and Adaptive Gating cites this paper.

Hyperspectral Image Classification via Transformer-based Spectral-Spatial Attention Decoupling and Adaptive Gating Efficient Dynamic Attention 3D Convolution for Hyperspectral Image Classification

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-07T05:18:45.814085Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:18:45.814085Z digest=sha256:ffcf5ba0ff0272be2d233ebd8fa67e882a219ec0a23d15df28f848b7813e06bd

Observation 97f755f3-5342-4266-b4a0-a6ecb6e1d845 · inbound

MVNet: Hyperspectral Remote Sensing Image Classification Based on Hybrid Mamba-Transformer Vision Backbone Architecture cites this paper.

MVNet: Hyperspectral Remote Sensing Image Classification Based on Hybrid Mamba-Transformer Vision Backbone Architecture Efficient Dynamic Attention 3D Convolution for Hyperspectral Image Classification

Reference 15

Resolution
verified exact
local_arxiv, observed 2026-08-06T19:53:14.003469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:53:11.305388Z digest=sha256:91fd417e740e6cb1e37a93a17eea07b69de6e3d90f69b587686f69433e3ebd84