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Paper Citation Record · LEDGER

SpectralMamba: Efficient Mamba for Hyperspectral Image Classification

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2404.08489.

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

pith.paper-citation-record.v1
2404.08489 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:56:33.058303Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T19:30:07.526826Z

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 a0b7ac6a-7111-495e-abf7-7e423b1439c2 · inbound

A Survey of Mamba cites this paper.

A Survey of Mamba SpectralMamba: Efficient Mamba for Hyperspectral Image Classification

Reference 219

Resolution
verified exact
arxiv_id, observed 2026-05-23T22:13:31.014147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-23T22:09:19.917854Z digest=sha256:9113a7d12ac6bf4e8e6ed5117eceebad8a930731d0ddc4e0737591fbe5c09041

Observation bb502130-a548-4d9e-9157-87c7c5c7cdb3 · inbound

ECP-Mamba: An Efficient Multi-scale Self-supervised Contrastive Learning Method with State Space Model for PolSAR Image Classification cites this paper.

ECP-Mamba: An Efficient Multi-scale Self-supervised Contrastive Learning Method with State Space Model for PolSAR Image Classification SpectralMamba: Efficient Mamba for Hyperspectral Image Classification

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-07T11:56:33.058303Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:56:33.058303Z digest=sha256:72b852264bb733d34caeb006e2e4288c0e07ff3a8daa7cbcc5230bab9a697fb6

Observation e7419b8b-db64-4b0a-b0bf-c99827c9a6ee · 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 SpectralMamba: Efficient Mamba for Hyperspectral Image Classification

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-06T19:53:12.614065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:53:12.614065Z digest=sha256:9a6715839a90799afeb15deed63b5023e006677247b91f928b7fbdc5f3759cc8

Observation 1e1b9864-87e3-4898-a490-1e34365bcffb · inbound

ConvVitMamba: Efficient Multiscale Convolution, Transformer, and Mamba-Based Sequence modelling for Hyperspectral Image Classification cites this paper.

ConvVitMamba: Efficient Multiscale Convolution, Transformer, and Mamba-Based Sequence modelling for Hyperspectral Image Classification SpectralMamba: Efficient Mamba for Hyperspectral Image Classification

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-10T12:15:22.913847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-10T04:35:27.151600Z digest=sha256:194ad24a5f0421d5ccff09090e15e0d554b50771f11ee009ca6f4faa30a6c6b0

Observation e5408721-ead1-4c21-98cc-4af7f2028df0 · inbound

State Space Models Meet Remote Sensing: A Survey cites this paper.

State Space Models Meet Remote Sensing: A Survey SpectralMamba: Efficient Mamba for Hyperspectral Image Classification

Reference 56

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T19:30:07.528203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-25T21:18:05.054587Z digest=sha256:86c372065bc1e7d8a024734538940a03ba6016a916ebfec8f0a2c658886b39e6

Observation d935b166-9459-41cf-8274-8d909edeeab5 · inbound

BCG-Former: Toward Pareto-Efficient Hyperspectral Image Classification via Band-Contextual Gating cites this paper.

BCG-Former: Toward Pareto-Efficient Hyperspectral Image Classification via Band-Contextual Gating SpectralMamba: Efficient Mamba for Hyperspectral Image Classification

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-01T22:47:02.831569Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T22:47:02.831569Z digest=sha256:544ba2976b4eebc4ca3a71de47d23b0d978a2db046d703536addfca59e8debf6

Observation 90a3a858-ca13-4858-b94d-6052d752f98b · inbound

PNEC-Mamba: Prototype-Guided Positive-Negative Evidence Calibration for Hyperspectral Image Classification cites this paper.

PNEC-Mamba: Prototype-Guided Positive-Negative Evidence Calibration for Hyperspectral Image Classification SpectralMamba: Efficient Mamba for Hyperspectral Image Classification

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-04T18:28:51.371613Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T18:28:51.371613Z digest=sha256:77727df4f4963d0bb3f21ca3750e0a3502cd46ce6ab2c0fdb7944713e1778b72