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Paper Citation Record · LEDGER

OPTIMUS: Observing Persistent Transformations in Multi-temporal Unlabeled Satellite-data

As of 11 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2506.13902.

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

pith.paper-citation-record.v1
2506.13902 v1

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:31:50.539156Z

measured 30 of 30 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 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

30 of 30 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 162a6735-e10d-404f-b4e0-a1b923b0d03a · outbound

This paper cites SatlasPretrain: A Large- Scale Dataset for Remote Sensing Image Understanding,.

OPTIMUS: Observing Persistent Transformations in Multi-temporal Unlabeled Satellite-data SatlasPretrain: A Large- Scale Dataset for Remote Sensing Image Understanding,

Reference 1

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Observation 99800bd6-a20f-48e6-8062-8f3e26b6fa23 · outbound

This paper cites Change Detection in Optical Aerial Images by a Multilayer Conditional Mixed Markov Model.

OPTIMUS: Observing Persistent Transformations in Multi-temporal Unlabeled Satellite-data Change Detection in Optical Aerial Images by a Multilayer Conditional Mixed Markov Model

Reference 2

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Observation f1962244-6473-4c61-b2be-a6368857410e · outbound

This paper cites A spatial-temporal attention- based method and a new dataset for remote sensing image change detection.

OPTIMUS: Observing Persistent Transformations in Multi-temporal Unlabeled Satellite-data A spatial-temporal attention- based method and a new dataset for remote sensing image change detection

Reference 3

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Observation b52fac91-4013-4408-95cc-8560044efb9e · outbound

This paper cites Urban Change Detection for Multispectral Earth Observation Using Convolutional Neural Networks.

OPTIMUS: Observing Persistent Transformations in Multi-temporal Unlabeled Satellite-data Urban Change Detection for Multispectral Earth Observation Using Convolutional Neural Networks

Reference 4

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Observation bc4accce-8caf-4826-9202-909ea437b4a9 · outbound

This paper cites Urban Change Detection for Multi- spectral Earth Observation Using Convolutional Neural Net- works, 2018.

OPTIMUS: Observing Persistent Transformations in Multi-temporal Unlabeled Satellite-data Urban Change Detection for Multi- spectral Earth Observation Using Convolutional Neural Net- works, 2018

Reference 5

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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.

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Observation 578e7d3d-953d-4375-88d8-9e5e7d2eb1c3 · outbound

This paper cites Imagenet: A large-scale hierarchical image database.

OPTIMUS: Observing Persistent Transformations in Multi-temporal Unlabeled Satellite-data Imagenet: A large-scale hierarchical image database

Reference 6

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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.

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Observation 9d2b761f-79ac-400f-9778-29580891c524 · outbound

This paper cites xBD: A Dataset for Assessing Building Damage from Satellite Imagery, 2019.

OPTIMUS: Observing Persistent Transformations in Multi-temporal Unlabeled Satellite-data xBD: A Dataset for Assessing Building Damage from Satellite Imagery, 2019

Reference 7

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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.

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Observation 514bb6d9-3087-4ec2-871b-a6c8de178f23 · outbound

This paper cites Deep Residual Learning for Image Recognition, 2015.

OPTIMUS: Observing Persistent Transformations in Multi-temporal Unlabeled Satellite-data Deep Residual Learning for Image Recognition, 2015

Reference 8

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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.

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Observation 4cd4e270-3af4-466d-902f-e14471c5b2d9 · outbound

This paper cites AFDE-Net: Building Change Detection using Attention- Based Feature Differential Enhancement for Satellite Im- agery.

OPTIMUS: Observing Persistent Transformations in Multi-temporal Unlabeled Satellite-data AFDE-Net: Building Change Detection using Attention- Based Feature Differential Enhancement for Satellite Im- agery

Reference 9

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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.

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Observation 618262e9-6f8d-4aca-96e7-06a4db275b7c · outbound

This paper cites Change detection from remotely sensed images: From pixel-based to object-based approaches.

OPTIMUS: Observing Persistent Transformations in Multi-temporal Unlabeled Satellite-data Change detection from remotely sensed images: From pixel-based to object-based approaches

Reference 10

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verified fuzzy
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Source-reported events for the cited work

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Observation 610f72a7-4bcd-4331-b726-097f803d3cb1 · outbound

This paper cites ChangeNet: Multi-Temporal Asymmetric Change De- tection Dataset, 2024.

OPTIMUS: Observing Persistent Transformations in Multi-temporal Unlabeled Satellite-data ChangeNet: Multi-Temporal Asymmetric Change De- tection Dataset, 2024

Reference 11

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verified fuzzy
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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.

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Observation 92e51a37-9c71-4995-8141-c4cd9a3a54a6 · outbound

This paper cites Siamese Neural Networks for One-shot Image Recognition.

OPTIMUS: Observing Persistent Transformations in Multi-temporal Unlabeled Satellite-data Siamese Neural Networks for One-shot Image Recognition

Reference 12

Resolution
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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.

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Observation bcf7813e-2426-44f7-a9e6-b76c6992b3b5 · outbound

This paper cites The Outcome of the 2021 IEEE GRSS Data Fusion Con- test—Track MSD: Multitemporal Semantic Change Detec- tion.

OPTIMUS: Observing Persistent Transformations in Multi-temporal Unlabeled Satellite-data The Outcome of the 2021 IEEE GRSS Data Fusion Con- test—Track MSD: Multitemporal Semantic Change Detec- tion

Reference 13

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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.

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Observation b4736c62-f4c7-4c02-a6c3-61122fbd4109 · outbound

This paper cites BCE- Net: Reliable Building Footprints Change Extraction based on Historical Map and Up-to-date Images using Contrastive Learning.

OPTIMUS: Observing Persistent Transformations in Multi-temporal Unlabeled Satellite-data BCE- Net: Reliable Building Footprints Change Extraction based on Historical Map and Up-to-date Images using Contrastive Learning

Reference 14

Resolution
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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.

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Observation 072c9225-fa5c-466d-afb2-e2d0fb5cc09c · outbound

This paper cites A CNN-transformer network with multiscale context aggrega- tion for fine-grained cropland change detection.

OPTIMUS: Observing Persistent Transformations in Multi-temporal Unlabeled Satellite-data A CNN-transformer network with multiscale context aggrega- tion for fine-grained cropland change detection

Reference 15

Resolution
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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.

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Observation b5bae103-6f10-4be9-9feb-88c9227d2578 · outbound

This paper cites Swin transformer v2: Scaling up capacity and resolution, 2022.

OPTIMUS: Observing Persistent Transformations in Multi-temporal Unlabeled Satellite-data Swin transformer v2: Scaling up capacity and resolution, 2022

Reference 16

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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.

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Observation c97e0131-8c2a-4660-b110-e4b86581474b · outbound

This paper cites Decoupled Weight Decay Regularization, 2019.

OPTIMUS: Observing Persistent Transformations in Multi-temporal Unlabeled Satellite-data Decoupled Weight Decay Regularization, 2019

Reference 17

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Source-reported events for the cited work

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Observation 9f78ac38-e92d-436b-b582-375968660028 · outbound

This paper cites A PolSAR Change Detection In- dex Based on Neighborhood Information for Flood Mapping.

OPTIMUS: Observing Persistent Transformations in Multi-temporal Unlabeled Satellite-data A PolSAR Change Detection In- dex Based on Neighborhood Information for Flood Mapping

Reference 18

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verified fuzzy
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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.

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Observation 4779cfd3-63cb-48b2-a574-8f962ef9e2da · outbound

This paper cites Change Event Dataset for Discovery from Spatio-temporal Remote Sensing Imagery.

OPTIMUS: Observing Persistent Transformations in Multi-temporal Unlabeled Satellite-data Change Event Dataset for Discovery from Spatio-temporal Remote Sensing Imagery

Reference 19

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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.

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Observation 3e01bd83-d6fa-4599-8293-634dfbbd8700 · outbound

This paper cites Change- Aware Sampling and Contrastive Learning for Satellite Im- ages.

OPTIMUS: Observing Persistent Transformations in Multi-temporal Unlabeled Satellite-data Change- Aware Sampling and Contrastive Learning for Satellite Im- ages

Reference 20

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verified fuzzy
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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.

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Observation e1ce1af1-f9ce-467a-a213-9cefd0fa8faa · outbound

This paper cites Seasonal contrast: Unsuper- vised pre-training from uncurated remote sensing data, 2021.

OPTIMUS: Observing Persistent Transformations in Multi-temporal Unlabeled Satellite-data Seasonal contrast: Unsuper- vised pre-training from uncurated remote sensing data, 2021

Reference 21

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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.

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Observation 68bb176a-824c-42be-b42b-ef82d3f90f14 · outbound

This paper cites S2Looking: A Satellite Side-Looking Dataset for Building Change Detec- tion.

OPTIMUS: Observing Persistent Transformations in Multi-temporal Unlabeled Satellite-data S2Looking: A Satellite Side-Looking Dataset for Building Change Detec- tion

Reference 22

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verified fuzzy
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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.

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Observation 41f14ae6-d509-43ff-8fdd-32ba59091261 · outbound

This paper cites A deeply supervised attention metric-based network and an open aerial image dataset for remote sensing change detection.

OPTIMUS: Observing Persistent Transformations in Multi-temporal Unlabeled Satellite-data A deeply supervised attention metric-based network and an open aerial image dataset for remote sensing change detection

Reference 23

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verified fuzzy
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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.

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Observation 1f4d16d3-23b6-49e9-8142-f9037c2fd979 · outbound

This paper cites Hi-UCD: A Large-scale Dataset for Urban Semantic Change Detection in Remote Sensing Imagery.

OPTIMUS: Observing Persistent Transformations in Multi-temporal Unlabeled Satellite-data Hi-UCD: A Large-scale Dataset for Urban Semantic Change Detection in Remote Sensing Imagery

Reference 24

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 1fbcae9b-af15-4535-9644-7d1bd656c17b · outbound

This paper cites DynamicEarthNet: Daily Multi-Spectral Satellite Dataset for Semantic Change Segmentation, 2022.

OPTIMUS: Observing Persistent Transformations in Multi-temporal Unlabeled Satellite-data DynamicEarthNet: Daily Multi-Spectral Satellite Dataset for Semantic Change Segmentation, 2022

Reference 25

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verified fuzzy
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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.

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Observation 9d629f68-90e1-4d18-966f-48589a12906d · outbound

This paper cites SSL4EO- S12: A Large-Scale Multi-Modal, Multi-Temporal Dataset for Self-Supervised Learning in Earth Observation, 2023.

OPTIMUS: Observing Persistent Transformations in Multi-temporal Unlabeled Satellite-data SSL4EO- S12: A Large-Scale Multi-Modal, Multi-Temporal Dataset for Self-Supervised Learning in Earth Observation, 2023

Reference 26

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verified fuzzy
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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.

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Observation 7dfdb0ef-a259-407d-9807-4e0a06e06aa4 · outbound

This paper cites an unresolved cited work.

OPTIMUS: Observing Persistent Transformations in Multi-temporal Unlabeled Satellite-data Unresolved cited work

Reference 27

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unresolved
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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.

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Observation 31d81775-5a53-47f6-baa5-dd33df9a26ea · outbound

This paper cites Asymmetric Siamese Networks for Semantic Change Detection in Aerial Images.

OPTIMUS: Observing Persistent Transformations in Multi-temporal Unlabeled Satellite-data Asymmetric Siamese Networks for Semantic Change Detection in Aerial Images

Reference 28

Resolution
verified fuzzy
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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.

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Observation cc0d6e2c-971a-47d3-862d-b32ade6978df · outbound

This paper cites A deeply supervised image fusion network for change de- tection in high resolution bi-temporal remote sensing im- ages.

OPTIMUS: Observing Persistent Transformations in Multi-temporal Unlabeled Satellite-data A deeply supervised image fusion network for change de- tection in high resolution bi-temporal remote sensing im- ages

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:31:50.612162Z

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.

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Observation eb9925af-26e1-45e6-a706-2652b07dddab · outbound

This paper cites Change is Everywhere: Single-Temporal Supervised Object Change Detection in Remote Sensing Imagery, 2023.

OPTIMUS: Observing Persistent Transformations in Multi-temporal Unlabeled Satellite-data Change is Everywhere: Single-Temporal Supervised Object Change Detection in Remote Sensing Imagery, 2023

Reference 30

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verified fuzzy
raw_fallback, observed 2026-08-07T00:31:50.595069Z

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.

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Pith citing papers

No inbound Pith citation observations are available.