Paper Citation Record · LEDGER

MergeSAM: Unsupervised change detection of remote sensing images based on the Segment Anything Model

As of 18 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 0 inbound Pith citation observations for arXiv:2507.22675.

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

pith.paper-citation-record.v1
2507.22675 v2

Coverage vector

measured 13 of 13 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T11:27:58.734230Z

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

13 of 13 outbound references displayed

verified exact1
verified fuzzy2
unresolved6
parse uncertain0
malformed identifier1
metadata mismatch3

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ae392449-982f-4196-a0be-39a78c11a794 · outbound

This paper cites DeepGlobe 2018: A Challenge to Parse the Earth through Satellite Images.

MergeSAM: Unsupervised change detection of remote sensing images based on the Segment Anything Model DeepGlobe 2018: A Challenge to Parse the Earth through Satellite Images

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T11:27:58.585151Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 14413ae5-873b-482b-990e-574f20089cf8 · outbound

This paper cites Deep learning for change detection in remote sensing: a review,.

MergeSAM: Unsupervised change detection of remote sensing images based on the Segment Anything Model Deep learning for change detection in remote sensing: a review,

Reference 3

Resolution: malformed identifier; no resolver link, observed 2026-08-06T11:27:58.590004Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 91f58c12-d5a9-4bf5-b572-e12a5fe854c6 · outbound

This paper cites Change Detection From Very - High - Spatial - Resolution Optical Remote Sensing Images: Methods, applications, and future directions,.

MergeSAM: Unsupervised change detection of remote sensing images based on the Segment Anything Model Change Detection From Very - High - Spatial - Resolution Optical Remote Sensing Images: Methods, applications, and future directions,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:27:59.239204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 67e68199-65c5-4258-81c9-cdef02b4f3ab · outbound

This paper cites Deep learning for remote sensing data: a technical tutorial on the state of the art,.

MergeSAM: Unsupervised change detection of remote sensing images based on the Segment Anything Model Deep learning for remote sensing data: a technical tutorial on the state of the art,

Reference 6

Resolution: metadata mismatch; raw_fallback, observed 2026-08-06T11:27:59.154162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e6f6179e-6b4e-499b-b78e-18abbbe715f3 · outbound

This paper cites Artificial intelligence for geoscience: Progress, challenges, and perspectives,.

MergeSAM: Unsupervised change detection of remote sensing images based on the Segment Anything Model Artificial intelligence for geoscience: Progress, challenges, and perspectives,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T11:27:58.603077Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eed89d7a-7d1b-4984-9f7d-d3e2cb69901a · outbound

This paper cites HyperSIGMA: Hyperspectral Intelligence Comprehension Foundation Model.

MergeSAM: Unsupervised change detection of remote sensing images based on the Segment Anything Model HyperSIGMA: Hyperspectral Intelligence Comprehension Foundation Model

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T11:27:58.609485Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 824840f7-240b-42c5-8d7c-ff3a4de10052 · outbound

This paper cites Segment anything,.

MergeSAM: Unsupervised change detection of remote sensing images based on the Segment Anything Model Segment anything,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:27:59.231545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a30f14fc-cc8d-4e33-8c6b-fe88e016d733 · outbound

This paper cites MeSAM: Multiscale Enhanced Segment Anything Model for Optical Remote Sensing Images,.

MergeSAM: Unsupervised change detection of remote sensing images based on the Segment Anything Model MeSAM: Multiscale Enhanced Segment Anything Model for Optical Remote Sensing Images,

Reference 11

Resolution: verified exact; doi, observed 2026-08-06T11:27:58.768586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 3ec234fc-b650-4ea8-bc93-a7febf6029bf · outbound

This paper cites RSPrompter: Learning to Prompt for Remote Sensing Instance Segmentation Based on Visual Foundation Model,.

MergeSAM: Unsupervised change detection of remote sensing images based on the Segment Anything Model RSPrompter: Learning to Prompt for Remote Sensing Instance Segmentation Based on Visual Foundation Model,

Reference 12

Resolution: metadata mismatch; raw_fallback, observed 2026-08-06T11:27:58.936445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 57a1488b-c0c0-42a7-aad5-65aedce851af · outbound

This paper cites Adapting Segment Anything Model for Change Detection in VHR Remote Sensing Images,.

MergeSAM: Unsupervised change detection of remote sensing images based on the Segment Anything Model Adapting Segment Anything Model for Change Detection in VHR Remote Sensing Images,

Reference 13

Resolution: metadata mismatch; raw_fallback, observed 2026-08-06T11:27:58.861883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 4ad27701-28a5-4a20-9e54-0309e1209eec · outbound

This paper cites Segment Any Change.

MergeSAM: Unsupervised change detection of remote sensing images based on the Segment Anything Model Segment Any Change

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T11:27:58.729515Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 75071e73-10a1-4455-a3bc-642fb27a86a5 · outbound

This paper cites A Comprehensive Survey on Segment Anything Model for Vision and Beyond.

MergeSAM: Unsupervised change detection of remote sensing images based on the Segment Anything Model A Comprehensive Survey on Segment Anything Model for Vision and Beyond

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T11:27:58.734230Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5131dc4d-fbda-4e75-9f54-f12f75cd3473 · outbound

This paper cites Change Detection Between Optical Remote Sensing Imagery and Map Data via Segment Anything Model (SAM).

MergeSAM: Unsupervised change detection of remote sensing images based on the Segment Anything Model Change Detection Between Optical Remote Sensing Imagery and Map Data via Segment Anything Model (SAM)

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-06T11:27:58.623875Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.