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Paper Citation Record · LEDGER

CDMamba: Incorporating Local Clues into Mamba for Remote Sensing Image Binary Change Detection

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2406.04207.

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

pith.paper-citation-record.v1
2406.04207 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T20:14:37.754408Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T19:30:07.127202Z

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 224e6219-ea06-471a-b613-28aca2655be7 · inbound

Efficient Semantic Splatting for Remote Sensing Multi-view Segmentation cites this paper.

Efficient Semantic Splatting for Remote Sensing Multi-view Segmentation CDMamba: Incorporating Local Clues into Mamba for Remote Sensing Image Binary Change Detection

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-11T20:14:37.754408Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:14:37.754408Z digest=sha256:d695b9045790f64a2cd90216869846a385a22e32a87d9d22611ed446341ec434

Observation 15c67dca-493b-47bf-9e14-1d40195cfca0 · inbound

3D-SSM: A Novel 3D Selective Scan Module for Remote Sensing Change Detection cites this paper.

3D-SSM: A Novel 3D Selective Scan Module for Remote Sensing Change Detection CDMamba: Incorporating Local Clues into Mamba for Remote Sensing Image Binary Change Detection

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-06T23:12:45.560055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:12:45.560055Z digest=sha256:28b9067da399911112c03c526371715f26484273423ce42a1ac32e724725f9af

Observation 3ca62004-51f9-499c-97ec-151a9f33b203 · 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 CDMamba: Incorporating Local Clues into Mamba for Remote Sensing Image Binary Change Detection

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-06T15:20:44.941891Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:20:44.941891Z digest=sha256:581af3147841e0b7c53754224aec4e2d8e0bc7531b875e23697e07c14947a14d

Observation 4c66599a-5252-4b0b-a414-cc12bb2c12b0 · inbound

CloudMamba: An Uncertainty-Guided Dual-Scale Mamba Network for Cloud Detection in Remote Sensing Imagery cites this paper.

CloudMamba: An Uncertainty-Guided Dual-Scale Mamba Network for Cloud Detection in Remote Sensing Imagery CDMamba: Incorporating Local Clues into Mamba for Remote Sensing Image Binary Change Detection

Reference 56

Resolution
verified exact
arxiv_id, observed 2026-05-10T22:55:51.924728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T19:27:36.283843Z digest=sha256:88a55992232f55a7b66996709b7b8e5a5ec16a90ee7e680cb2000a8edd23bcae

Observation a5332792-a44d-411b-a28c-b7f392b30f0e · 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 CDMamba: Incorporating Local Clues into Mamba for Remote Sensing Image Binary Change Detection

Reference 83

Resolution
verified exact
arxiv_id, observed 2026-07-04T19:30:07.128793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-25T21:20:21.295192Z digest=sha256:44cae84a3d557a6a94902886b3ae458887b496596a71bf30f103101b131387a7

Observation 1e62a030-693f-40f0-a74f-fe3a634d3a49 · inbound

iVISION-2DCD: A Long-Term Change Detection Dataset for Large-Scale Outdoor Construction Monitoring cites this paper.

iVISION-2DCD: A Long-Term Change Detection Dataset for Large-Scale Outdoor Construction Monitoring CDMamba: Incorporating Local Clues into Mamba for Remote Sensing Image Binary Change Detection

Reference 24

Resolution
unresolved
no resolver link, observed 2026-07-12T01:39:56.982008Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T01:39:56.982008Z digest=sha256:13fdb49e60e232105e25f3527548246273ebbe55bc94f40e1edee7d0b0caced9