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Paper Citation Record · LEDGER

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

As of 7 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 0 inbound Pith citation observations for arXiv:2507.16172.

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

pith.paper-citation-record.v1
2507.16172 v1

Coverage vector

measured 16 of 16 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:20:44.950765Z

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 fuzzy1
  • unresolved14
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation cebc23f8-4e0b-46de-9731-4166f87ba674 · outbound

This paper cites Efficiently Modeling Long Sequences with Structured State Spaces.

AtrousMamaba: An Atrous-Window Scanning Visual State Space Model for Remote Sensing Change Detection Efficiently Modeling Long Sequences with Structured State Spaces

Reference 5

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no resolver link, observed 2026-08-06T15:20:44.897083Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:20:44.897083Z digest=sha256:8a50f83f408c25ced2f3c012d7752136803990a0c47bfcfe98b2cc36f91b1dc3

Observation b713f92d-32dc-424e-aa1e-35d58e98df33 · outbound

This paper cites VMamba: Visual State Space Model.

AtrousMamaba: An Atrous-Window Scanning Visual State Space Model for Remote Sensing Change Detection VMamba: Visual State Space Model

Reference 7

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:20:44.906388Z digest=sha256:b9f9a5e0f15f745687b5505f1a44145405bcde12d8802e4062fedee501135b7c

Observation 7b2d444a-c1c9-4809-89a9-df0889446072 · outbound

This paper cites U-Mamba: Enhancing Long-range Dependency for Biomedical Image Segmentation.

AtrousMamaba: An Atrous-Window Scanning Visual State Space Model for Remote Sensing Change Detection U-Mamba: Enhancing Long-range Dependency for Biomedical Image Segmentation

Reference 8

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unresolved
no resolver link, observed 2026-08-06T15:20:44.910982Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:20:44.910982Z digest=sha256:7f06c544099ac0acf51c78df1db29261f5faf4e3fb14f370a90e2a86557df02f

Observation 429e24a5-fcfc-435e-b089-0747dd812b52 · outbound

This paper cites VM-UNet: Vision Mamba UNet for Medical Image Segmentation.

AtrousMamaba: An Atrous-Window Scanning Visual State Space Model for Remote Sensing Change Detection VM-UNet: Vision Mamba UNet for Medical Image Segmentation

Reference 9

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unresolved
no resolver link, observed 2026-08-06T15:20:44.916341Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:20:44.916341Z digest=sha256:6181a0f45515f82adff95118f5fa20c38ea0e1a0d2d25857329066e5a911a6e3

Observation a494b686-349f-45e1-ab55-d02ab7f2de0b · outbound

This paper cites PyramidMamba: Rethinking Pyramid Feature Fusion with Selective Space State Model for Semantic Segmentation of Remote Sensing Imagery.

AtrousMamaba: An Atrous-Window Scanning Visual State Space Model for Remote Sensing Change Detection PyramidMamba: Rethinking Pyramid Feature Fusion with Selective Space State Model for Semantic Segmentation of Remote Sensing Imagery

Reference 11

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no resolver link, observed 2026-08-06T15:20:44.926702Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:20:44.926702Z digest=sha256:567457cc369cd4f8053edd4c0b6484a21521fe3ef6f08599ba56c753fc5167f9

Observation a113858f-cd11-43ce-950c-7e48a116cec2 · outbound

This paper cites GrootVL: Tree Topology is All You Need in State Space Model.

AtrousMamaba: An Atrous-Window Scanning Visual State Space Model for Remote Sensing Change Detection GrootVL: Tree Topology is All You Need in State Space Model

Reference 13

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no resolver link, observed 2026-08-06T15:20:44.937276Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:20:44.937276Z digest=sha256:136b78e26c35cb6fe599bd871d46e00a0b155b0f89ee3324d7b115e0ce0c7303

Observation 3ca62004-51f9-499c-97ec-151a9f33b203 · outbound

This paper cites CDMamba: Incorporating Local Clues into Mamba for Remote Sensing Image Binary Change Detection.

AtrousMamaba: An Atrous-Window Scanning Visual State Space Model for Remote Sensing Change Detection CDMamba: Incorporating Local Clues into Mamba for Remote Sensing Image Binary Change Detection

Reference 14

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:20:44.941891Z digest=sha256:f0fced844f74dff9b876ad70658eacaeb04567dee781a4c6c5b35b84adda70c4

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

This paper cites RS-Mamba for Large Remote Sensing Image Dense Prediction.

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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:20:44.946144Z digest=sha256:2fce88c07a9cf271757d2621303f676ed2a014a1a525e3e1e627040cbb869c41

Observation 6c510837-98d3-49cd-a0b9-d84b3a78bda3 · outbound

This paper cites Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model.

AtrousMamaba: An Atrous-Window Scanning Visual State Space Model for Remote Sensing Change Detection Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model

Reference 16

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:20:44.950765Z digest=sha256:636474ec47505f3781fc34e381d296f615220c5f7475833c157e34d5ea7ccc8f

Observation 366e0c1f-4108-455f-9377-5d8831667e02 · outbound

This paper cites IEEE, pp.

AtrousMamaba: An Atrous-Window Scanning Visual State Space Model for Remote Sensing Change Detection IEEE, pp

Reference 2018

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verified fuzzy
raw_fallback, observed 2026-08-06T15:20:45.255429Z

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=2026-08-06T15:20:44.882485Z digest=sha256:79066906eb2186ebc3a5ed3f2625193ab0a9962b2646c5545cdedb08041bdd3e

Observation 87b48714-e32d-4060-9f53-e63c129d709a · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

AtrousMamaba: An Atrous-Window Scanning Visual State Space Model for Remote Sensing Change Detection An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 2020

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:20:44.887084Z digest=sha256:48ee03b7b1d5d316a618d6855b3654c11c3c9d95b5bad27ef6459f26c45de017

Observation c32b33df-7fbf-4c0b-a0a2-37667e958e63 · outbound

This paper cites ChangeMamba: Remote Sensing Change Detection With Spatiotemporal State Space Model.

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=sha256:6c2e7d57a47b71147e23e07f3c2b3092adf9f19afe846ade770336dabe588ab4

Observation 818b6b24-1e44-4ecd-a06a-6c6f3de7df70 · outbound

This paper cites Simplified State Space Layers for Sequence Modeling.

AtrousMamaba: An Atrous-Window Scanning Visual State Space Model for Remote Sensing Change Detection Simplified State Space Layers for Sequence Modeling

Reference 2022

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:20:44.922030Z digest=sha256:0ba4b2176e1aaaa517b1be85941eeb05f0d8cc6db46e9761405c44c92bb755f1

Observation 2382d34d-32e7-4893-9174-9f38aa183d32 · outbound

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

AtrousMamaba: An Atrous-Window Scanning Visual State Space Model for Remote Sensing Change Detection Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 2023

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unresolved
no resolver link, observed 2026-08-06T15:20:44.892446Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:20:44.892446Z digest=sha256:52d67fe45095f2c901d20c9d3a9c4f71345e4b0bb3fb81ac5b5f9de79efc35c5

Observation 9af3ad2b-8227-4822-b59b-678390356731 · outbound

This paper cites LocalMamba: Visual State Space Model with Windowed Selective Scan.

AtrousMamaba: An Atrous-Window Scanning Visual State Space Model for Remote Sensing Change Detection LocalMamba: Visual State Space Model with Windowed Selective Scan

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-06T15:20:44.901809Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:20:44.901809Z digest=sha256:6def413ebe0c220444a644cea482d4f7735a197e269e4823d7a8337559fdd722

Observation 708c885a-1f3f-413a-bf13-8ed9bf084192 · outbound

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

AtrousMamaba: An Atrous-Window Scanning Visual State Space Model for Remote Sensing Change Detection CD-Lamba: Boosting Remote Sensing Change Detection via a Cross-Temporal Locally Adaptive State Space Model

Reference 2025

Resolution
metadata mismatch
local_arxiv, observed 2026-08-06T15:20:45.065656Z

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=2026-08-06T15:20:44.932674Z digest=sha256:23bc8648c0a29094c8298bd118a53cfcd739770e1631339d303f10238f72fe9c

Pith citing papers

No inbound Pith citation observations are available.