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Paper Citation Record · LEDGER

Multiscale Convolutional Transformer with Center Mask Pretraining for Hyperspectral Image Classification

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2203.04771.

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

pith.paper-citation-record.v1
2203.04771 v4

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 2026-08-18T06:34:40.430872+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T06:00:15.036747Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-12T05:37:39.747113Z

Reference resolution

0 of 0 outbound references displayed

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  • verified fuzzy0
  • unresolved0
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  • 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 6f722fa6-bc97-4869-896b-1b0e5ab5994b · inbound

Hyperspectral Images Efficient Spatial and Spectral non-Linear Model with Bidirectional Feature Learning cites this paper.

Hyperspectral Images Efficient Spatial and Spectral non-Linear Model with Bidirectional Feature Learning Multiscale Convolutional Transformer with Center Mask Pretraining for Hyperspectral Image Classification

Reference 30

Resolution
verified exact
local_arxiv, observed 2026-08-12T05:37:39.754052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T05:37:39.683883Z digest=sha256:b4b135ea270e5031e18fab748d287e7696ee61485ffa31557dfb0097f1db790b

Observation 79f386e0-6c37-4c0e-bdbb-156df3336a8e · inbound

Optimal Hyperspectral Undersampling Strategy for Satellite Imaging cites this paper.

Optimal Hyperspectral Undersampling Strategy for Satellite Imaging Multiscale Convolutional Transformer with Center Mask Pretraining for Hyperspectral Image Classification

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-16T06:00:15.036747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T06:00:15.036747Z digest=sha256:0bad2ffab9ed03602c128a93a34f08d3044f7f08f5296987b5918a66431df3a7