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Paper Citation Record · LEDGER

ChangeMamba: Remote Sensing Change Detection With Spatiotemporal State Space Model

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2404.03425.

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

pith.paper-citation-record.v1
2404.03425 v7

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:20:18.250320Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T19:30:07.158773Z

Reference resolution

0 of 0 outbound references displayed

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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 abb1a15f-56aa-4e66-8113-0280d5c87615 · inbound

A Survey of Mamba cites this paper.

A Survey of Mamba ChangeMamba: Remote Sensing Change Detection With Spatiotemporal State Space Model

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-05-23T22:13:31.022101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-23T22:09:19.917854Z digest=sha256:41f9a1327d23a0b9d711add1ef32b6cee27a0f2b6e8cbaa6fd164bce8b394e92

Observation 7f400731-8621-4227-ba62-7cacfd3e4a52 · inbound

Improving Zero-Shot Object-Level Change Detection by Incorporating Visual Correspondence cites this paper.

Improving Zero-Shot Object-Level Change Detection by Incorporating Visual Correspondence ChangeMamba: Remote Sensing Change Detection With Spatiotemporal State Space Model

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-10T21:20:18.250320Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:20:18.250320Z digest=sha256:384ea48e18e787b2c4c740489c6b62dd9306f433c35138719a6a81e94c315ef2

Observation 590ff16a-c709-4825-93cc-6ce0cd5b88ff · inbound

Semantic-CD: Remote Sensing Image Semantic Change Detection towards Open-vocabulary Setting cites this paper.

Semantic-CD: Remote Sensing Image Semantic Change Detection towards Open-vocabulary Setting ChangeMamba: Remote Sensing Change Detection With Spatiotemporal State Space Model

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-10T20:53:35.596579Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:53:35.596579Z digest=sha256:10eb579faee11edc5d27ae5dad6886b5c9f1a6fcd6e06ca304ca1aaa88072ef9

Observation 7520aab1-12bb-4191-944b-d6f2dfc8e920 · inbound

AVS-Mamba: Exploring Temporal and Multi-modal Mamba for Audio-Visual Segmentation cites this paper.

AVS-Mamba: Exploring Temporal and Multi-modal Mamba for Audio-Visual Segmentation ChangeMamba: Remote Sensing Change Detection With Spatiotemporal State Space Model

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-10T20:38:56.450560Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:38:56.450560Z digest=sha256:697fcfcf053621cc88b54f32469e364143e28f018fca8a08b3f6379e147f8eda

Observation 9f74d8eb-3147-4a53-9397-dacb25ae1d2e · inbound

Robust Change Captioning in Remote Sensing: SECOND-CC Dataset and MModalCC Framework cites this paper.

Robust Change Captioning in Remote Sensing: SECOND-CC Dataset and MModalCC Framework ChangeMamba: Remote Sensing Change Detection With Spatiotemporal State Space Model

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-10T19:28:15.054286Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:28:15.054286Z digest=sha256:bf2da3a168eeae05a2625e16737d038dd27944da1023a3cd1124d38272cbf668

Observation f18ba7ff-f4b0-4808-815e-2c3cc200ff53 · inbound

CD-Lamba: Boosting Remote Sensing Change Detection via a Cross-Temporal Locally Adaptive State Space Model cites this paper.

CD-Lamba: Boosting Remote Sensing Change Detection via a Cross-Temporal Locally Adaptive State Space Model ChangeMamba: Remote Sensing Change Detection With Spatiotemporal State Space Model

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-10T14:19:14.448237Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:19:14.448237Z digest=sha256:072851611493825f8168940319c490d5f17531b1dab885de19f96874372e13c4

Observation 57797881-7aef-4514-b364-8e0596de4148 · inbound

Directing Mamba to Complex Textures: An Efficient Texture-Aware State Space Model for Image Restoration cites this paper.

Directing Mamba to Complex Textures: An Efficient Texture-Aware State Space Model for Image Restoration ChangeMamba: Remote Sensing Change Detection With Spatiotemporal State Space Model

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-10T12:09:09.452434Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T12:09:09.452434Z digest=sha256:a21d4e82651c1950e333bdd69a87e71e58fef498b02bc83cf355da69cdd3df41

Observation b8106156-b40f-4d0e-af94-e52511faa035 · inbound

FractalMamba++: Scaling Vision Mamba Across Resolutions via Hilbert Fractal Geometry cites this paper.

FractalMamba++: Scaling Vision Mamba Across Resolutions via Hilbert Fractal Geometry ChangeMamba: Remote Sensing Change Detection With Spatiotemporal State Space Model

Reference 57

Resolution
verified exact
arxiv_id, observed 2026-05-22T14:01:38.100352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-22T13:58:28.333444Z digest=sha256:be765a42fbcaa447de71c4bd6529b4872fb5336748a25da32a95c82094e6326a

Observation b5f40d82-ec10-466c-a99f-c2beb4c87faf · 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 ChangeMamba: Remote Sensing Change Detection With Spatiotemporal State Space Model

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-07T11:56:33.262060Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:56:33.262060Z digest=sha256:28b3f1c9d5c59165e4de87131c86b57660c2a7b8af5ab36709ab2b26f5cffa60

Observation 6ce510ed-326d-4e34-96bc-4cb555a8fcad · inbound

SegChange-R1: LLM-Augmented Remote Sensing Change Detection cites this paper.

SegChange-R1: LLM-Augmented Remote Sensing Change Detection ChangeMamba: Remote Sensing Change Detection With Spatiotemporal State Space Model

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-06T23:28:09.791833Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:28:09.791833Z digest=sha256:32438a91c86b73863643b0f5f0c0f006613af1b44ffd7a4f744af18d06e8a2d6

Observation c32b33df-7fbf-4c0b-a0a2-37667e958e63 · 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 ChangeMamba: Remote Sensing Change Detection With Spatiotemporal State Space Model

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-06T15:20:44.877488Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:20:44.877488Z digest=sha256:0cb02241d2414ed52fadd14a95e2d8c9dc75328d9e57dc94a78e10ee35bb9365

Observation 23bdfc82-4deb-4f4c-aec2-669da56151d9 · inbound

Efficient Remote Sensing Instance Segmentation with Linear-Time State Space Distilled Visual Foundation Models cites this paper.

Efficient Remote Sensing Instance Segmentation with Linear-Time State Space Distilled Visual Foundation Models ChangeMamba: Remote Sensing Change Detection With Spatiotemporal State Space Model

Reference 86

Resolution
verified exact
arxiv_id, observed 2026-07-04T19:30:07.160344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-25T21:20:21.295192Z digest=sha256:58daf243053ebcc2d1b50b359fb95b964ba94e0faf7b2532841c6e60e7269911