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Paper Citation Record · LEDGER

MambaOutRS: A Hybrid CNN-Fourier Architecture for Remote Sensing Image Classification

As of 7 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 0 inbound Pith citation observations for arXiv:2506.19561.

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

pith.paper-citation-record.v1
2506.19561 v1

Coverage vector

measured 16 of 16 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:11:45.553123Z

measured 16 of 16 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

16 of 16 outbound references displayed

  • verified exact0
  • verified fuzzy12
  • unresolved4
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d4e9be47-22da-4a67-a50f-fc8443c01721 · outbound

This paper cites Machine learning in modelling land-use and land cover-change (lulcc): Current status, challenges and prospects.

MambaOutRS: A Hybrid CNN-Fourier Architecture for Remote Sensing Image Classification Machine learning in modelling land-use and land cover-change (lulcc): Current status, challenges and prospects

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:11:47.337235Z

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=2026-08-06T23:11:43.993288Z digest=sha256:5dfbd135e366c550ccc9056d3c6f6bba6366a04f062b32a3c6e5372426d04262

Observation 1e115694-0346-4482-a07e-b664e3d8d0df · outbound

This paper cites Pure data correction enhancing remote sensing image classification with a lightweight ensemble model.

MambaOutRS: A Hybrid CNN-Fourier Architecture for Remote Sensing Image Classification Pure data correction enhancing remote sensing image classification with a lightweight ensemble model

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:11:47.166699Z

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=2026-08-06T23:11:44.108436Z digest=sha256:408dd39d8ef3da1e7ad71836824d30cd01d0c5ccd55b6119f86452929472814d

Observation 32e6d1e2-df92-4182-953f-74f63051757b · outbound

This paper cites Combining kan with cnn: Konvnext’s performance in remote sensing and patent insights.

MambaOutRS: A Hybrid CNN-Fourier Architecture for Remote Sensing Image Classification Combining kan with cnn: Konvnext’s performance in remote sensing and patent insights

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:11:47.005684Z

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=2026-08-06T23:11:44.231581Z digest=sha256:825c28eebebabae379385135457dc1a4af1ac6bf2f566ac9bc6e1a6d6de93247

Observation 5e4b8f42-d9a3-4c71-8658-08c7d65a2d3a · outbound

This paper cites Rsmamba: Remote sensing image classification with state space model.

MambaOutRS: A Hybrid CNN-Fourier Architecture for Remote Sensing Image Classification Rsmamba: Remote sensing image classification with state space model

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:11:46.861745Z

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=2026-08-06T23:11:44.322321Z digest=sha256:835fcdc4e72db21eb1366d850a5c4e7ac860fbbac716b7694abf2fa1696bfaff

Observation 61cfdd02-5c49-443a-83fb-5995d7cee5ca · outbound

This paper cites Remote sensing image classification using deep learning.

MambaOutRS: A Hybrid CNN-Fourier Architecture for Remote Sensing Image Classification Remote sensing image classification using deep learning

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:11:46.730589Z

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=2026-08-06T23:11:44.442846Z digest=sha256:cd1fc4fd8e2899cc958429152fea2a6c9328a26d0cd83e98ea39b84d7ebc1ab4

Observation e44b3770-db65-4094-9b4a-c9362a3a536f · outbound

This paper cites Review of vision transformer models for remote sensing image scene classification.

MambaOutRS: A Hybrid CNN-Fourier Architecture for Remote Sensing Image Classification Review of vision transformer models for remote sensing image scene classification

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:11:46.610057Z

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=2026-08-06T23:11:44.524456Z digest=sha256:822b3540eb47ec72ca76e90f5af4347d4ae1b52faae1560fd68cacedef8fae90

Observation c0375b5a-1f71-4d32-963b-47ca3cc48314 · outbound

This paper cites Kolmogorov-Arnold Network for Satellite Image Classification in Remote Sensing.

MambaOutRS: A Hybrid CNN-Fourier Architecture for Remote Sensing Image Classification Kolmogorov-Arnold Network for Satellite Image Classification in Remote Sensing

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-06T23:11:44.633339Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:11:44.633339Z digest=sha256:a18d5e636c90cd28ba692423ee14d9f8fbbe082319627cb9f68a1d12992341b6

Observation 3d0208ae-d728-45f3-89a8-ade8dda22a21 · outbound

This paper cites Vivit-prob: A radar echo extrapolation model based on video vision transformer and spatiotemporal sparse attention.

MambaOutRS: A Hybrid CNN-Fourier Architecture for Remote Sensing Image Classification Vivit-prob: A radar echo extrapolation model based on video vision transformer and spatiotemporal sparse attention

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:11:46.468317Z

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=2026-08-06T23:11:44.749656Z digest=sha256:61b53ae103e5eb926533d3720924c260fac9a3792541270845faab1257609356

Observation db30c953-3490-408e-9f6e-42856db1ec76 · outbound

This paper cites Mamba: Linear-Time Sequence Modeling with Selective State Spaces.

MambaOutRS: A Hybrid CNN-Fourier Architecture for Remote Sensing Image Classification Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-06T23:11:44.868546Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:11:44.868546Z digest=sha256:d88d0c810ca62f10ccf5575f87750c93e0110dbb5522ee38ac8507483888418a

Observation cb973502-4494-47ef-b70a-27c6de870c28 · outbound

This paper cites Vision Mamba: A Comprehensive Survey and Taxonomy.

MambaOutRS: A Hybrid CNN-Fourier Architecture for Remote Sensing Image Classification Vision Mamba: A Comprehensive Survey and Taxonomy

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-06T23:11:45.025725Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:11:45.025725Z digest=sha256:f6d3224dcfcecfb45a63c5f3792577f3819321e7db909cb7bfd0330406cb1a85

Observation b8505967-42ad-4a2b-b49f-69bb56885feb · outbound

This paper cites Mambavision: A hybrid mamba-transformer vision backbone.

MambaOutRS: A Hybrid CNN-Fourier Architecture for Remote Sensing Image Classification Mambavision: A hybrid mamba-transformer vision backbone

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:11:46.315230Z

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=2026-08-06T23:11:45.148407Z digest=sha256:0a9cb3efd4fe37d52ee72fb8401e7629d8806d494a99937dab89f80ad479a862

Observation 7c68e015-0a02-45c5-b168-c3d2ff3094ed · outbound

This paper cites Mambaout: Do we really need mamba for vision? In Proceedings of the Computer Vision and Pattern Recognition Conference, pages 4484--4496, 2025.

MambaOutRS: A Hybrid CNN-Fourier Architecture for Remote Sensing Image Classification Mambaout: Do we really need mamba for vision? In Proceedings of the Computer Vision and Pattern Recognition Conference, pages 4484--4496, 2025

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:11:46.184598Z

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=2026-08-06T23:11:45.248768Z digest=sha256:920a725c58eca4aedffbf4b4de39e84bb3aa93e3b132a305d50e375e7e5daaf9

Observation cf11985b-8b6c-4ae0-84c6-f5fb47d86dee · outbound

This paper cites Aid: A benchmark data set for performance evaluation of aerial scene classification.

MambaOutRS: A Hybrid CNN-Fourier Architecture for Remote Sensing Image Classification Aid: A benchmark data set for performance evaluation of aerial scene classification

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:11:46.011420Z

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=2026-08-06T23:11:45.329253Z digest=sha256:3f33b545f48678d9db07066580d35c49d986e22e7934563ff3ece174dc37e879

Observation 1da43456-3714-4ebd-9728-9203fdb95a8e · outbound

This paper cites Eurosat: A novel dataset and deep learning benchmark for land use and land cover classification.

MambaOutRS: A Hybrid CNN-Fourier Architecture for Remote Sensing Image Classification Eurosat: A novel dataset and deep learning benchmark for land use and land cover classification

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-06T23:11:45.441646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:11:45.441646Z digest=sha256:42ad37603da36ab97899e65ebd877740ee31d84871229c705530abb3905fc9b1

Observation e55cc239-fe55-49f4-8176-c54d1fbddc2e · outbound

This paper cites Remote sensing image scene classification: Benchmark and state of the art.

MambaOutRS: A Hybrid CNN-Fourier Architecture for Remote Sensing Image Classification Remote sensing image scene classification: Benchmark and state of the art

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:11:45.881634Z

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=2026-08-06T23:11:45.507357Z digest=sha256:64069dda7354e92c47a945b1366cd4bf55976620d737d5bb408809ed9d40b667

Observation 92cfd410-de22-43aa-b927-4c89015c0d53 · outbound

This paper cites Bag-of-visual-words and spatial extensions for land-use classification.

MambaOutRS: A Hybrid CNN-Fourier Architecture for Remote Sensing Image Classification Bag-of-visual-words and spatial extensions for land-use classification

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:11:45.713787Z

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=2026-08-06T23:11:45.553123Z digest=sha256:da14b1c25b1b67f0140f43cca431a234ec67fb49374018d8348f413bf59a8a13

Pith citing papers

No inbound Pith citation observations are available.