Paper Citation Record · LEDGER

RS-Mamba for Large Remote Sensing Image Dense Prediction

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2404.02668.

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

pith.paper-citation-record.v1
2404.02668 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:20:44.946144Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T22:13:30.877226Z

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 39b4885d-e988-43d2-bb6a-4637c1a510e7 · inbound

A Survey of Mamba cites this paper.

A Survey of Mamba RS-Mamba for Large Remote Sensing Image Dense Prediction

Reference 239

Resolution: verified exact; arxiv_id, observed 2026-05-23T22:13:30.879678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation ac3c6db3-18da-4445-9958-100ce368a92a · inbound

AtrousMamaba: An Atrous-Window Scanning Visual State Space Model for Remote Sensing Change Detection cites this paper.

AtrousMamaba: An Atrous-Window Scanning Visual State Space Model for Remote Sensing Change Detection RS-Mamba for Large Remote Sensing Image Dense Prediction

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T15:20:44.946144Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fb722b31-b9f4-40c2-bb2f-83b292959cb9 · inbound

DGSSM: Diffusion guided state-space models for multimodal salient object detection cites this paper.

DGSSM: Diffusion guided state-space models for multimodal salient object detection RS-Mamba for Large Remote Sensing Image Dense Prediction

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-05-10T05:46:10.315550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 379719e4-906f-4272-82ef-541eeddff28c · inbound

A Controlled Benchmark of Visual State-Space Backbones with Domain-Shift and Boundary Analysis for Remote-Sensing Segmentation cites this paper.

A Controlled Benchmark of Visual State-Space Backbones with Domain-Shift and Boundary Analysis for Remote-Sensing Segmentation RS-Mamba for Large Remote Sensing Image Dense Prediction

Reference 7

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T03:14:08.335991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.