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Paper Citation Record · LEDGER

Improving Remote Sensing Classification using Topological Data Analysis and Convolutional Neural Networks

As of 11 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2507.10381.

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

pith.paper-citation-record.v1
2507.10381 v1

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:36:39.693140Z

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

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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

42 of 42 outbound references displayed

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External citation measurements

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Outbound references

Observation b3de4479-0287-4e12-8d7c-fa9c1c43c78f · outbound

This paper cites an unresolved cited work.

Improving Remote Sensing Classification using Topological Data Analysis and Convolutional Neural Networks Unresolved cited work

Reference 1

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Observation 8a53ae2a-5b5e-416f-9c45-b7f298b98f7b · outbound

This paper cites Chang and H.

Improving Remote Sensing Classification using Topological Data Analysis and Convolutional Neural Networks Chang and H

Reference 2

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Observation 46c21e25-406f-4c4d-bc8c-5f40d9396da6 · outbound

This paper cites Cheng, J.

Improving Remote Sensing Classification using Topological Data Analysis and Convolutional Neural Networks Cheng, J

Reference 3

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This paper cites Edelsbrunner and J.

Improving Remote Sensing Classification using Topological Data Analysis and Convolutional Neural Networks Edelsbrunner and J

Reference 4

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This paper cites Garin and G.

Improving Remote Sensing Classification using Topological Data Analysis and Convolutional Neural Networks Garin and G

Reference 5

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This paper cites Garside, R.

Improving Remote Sensing Classification using Topological Data Analysis and Convolutional Neural Networks Garside, R

Reference 6

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This paper cites Geirhos, P.

Improving Remote Sensing Classification using Topological Data Analysis and Convolutional Neural Networks Geirhos, P

Reference 7

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Observation 24b2173b-3d5c-40b5-8548-ddaa47a5fd7c · outbound

This paper cites Gesmundo and J.

Improving Remote Sensing Classification using Topological Data Analysis and Convolutional Neural Networks Gesmundo and J

Reference 8

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Observation 16800c0d-f3fa-42f8-8367-17e562616237 · outbound

This paper cites Gomez and G.

Improving Remote Sensing Classification using Topological Data Analysis and Convolutional Neural Networks Gomez and G

Reference 9

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This paper cites Vision Models Are More Robust And Fair When Pretrained On Uncurated Images Without Supervision.

Improving Remote Sensing Classification using Topological Data Analysis and Convolutional Neural Networks Vision Models Are More Robust And Fair When Pretrained On Uncurated Images Without Supervision

Reference 10

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This paper cites Hajij, G.

Improving Remote Sensing Classification using Topological Data Analysis and Convolutional Neural Networks Hajij, G

Reference 11

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This paper cites Helber, B.

Improving Remote Sensing Classification using Topological Data Analysis and Convolutional Neural Networks Helber, B

Reference 12

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This paper cites Helber, B.

Improving Remote Sensing Classification using Topological Data Analysis and Convolutional Neural Networks Helber, B

Reference 13

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This paper cites Kaczynski, K.

Improving Remote Sensing Classification using Topological Data Analysis and Convolutional Neural Networks Kaczynski, K

Reference 14

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Improving Remote Sensing Classification using Topological Data Analysis and Convolutional Neural Networks Kim and C

Reference 15

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Improving Remote Sensing Classification using Topological Data Analysis and Convolutional Neural Networks Ko and D

Reference 16

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This paper cites The MNIST Database of Handwritten Digit Images for Ma- chine Learning Research [Best of the Web].

Improving Remote Sensing Classification using Topological Data Analysis and Convolutional Neural Networks The MNIST Database of Handwritten Digit Images for Ma- chine Learning Research [Best of the Web]

Reference 17

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Improving Remote Sensing Classification using Topological Data Analysis and Convolutional Neural Networks Unresolved cited work

Reference 18

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Improving Remote Sensing Classification using Topological Data Analysis and Convolutional Neural Networks Lu, S.-B

Reference 19

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Improving Remote Sensing Classification using Topological Data Analysis and Convolutional Neural Networks Unresolved cited work

Reference 20

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Improving Remote Sensing Classification using Topological Data Analysis and Convolutional Neural Networks Image Classification using Combination of Topological Features and Neural Networks

Reference 21

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Improving Remote Sensing Classification using Topological Data Analysis and Convolutional Neural Networks Unresolved cited work

Reference 22

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Improving Remote Sensing Classification using Topological Data Analysis and Convolutional Neural Networks Muszynski, K

Reference 23

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Improving Remote Sensing Classification using Topological Data Analysis and Convolutional Neural Networks Nanni, S

Reference 24

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Improving Remote Sensing Classification using Topological Data Analysis and Convolutional Neural Networks Mehmood, A

Reference 25

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Improving Remote Sensing Classification using Topological Data Analysis and Convolutional Neural Networks Ofori-Boateng, H

Reference 26

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Improving Remote Sensing Classification using Topological Data Analysis and Convolutional Neural Networks Rolnick, P

Reference 27

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Improving Remote Sensing Classification using Topological Data Analysis and Convolutional Neural Networks Unresolved cited work

Reference 28

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Improving Remote Sensing Classification using Topological Data Analysis and Convolutional Neural Networks In-domain representation learning for remote sensing

Reference 29

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Improving Remote Sensing Classification using Topological Data Analysis and Convolutional Neural Networks giotto-tda: A Topological Data Analysis Toolkit for Machine Learning and Data Exploration

Reference 30

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Improving Remote Sensing Classification using Topological Data Analysis and Convolutional Neural Networks Ver Hoef, H

Reference 31

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Improving Remote Sensing Classification using Topological Data Analysis and Convolutional Neural Networks Unresolved cited work

Reference 32

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Improving Remote Sensing Classification using Topological Data Analysis and Convolutional Neural Networks Unresolved cited work

Reference 33

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Improving Remote Sensing Classification using Topological Data Analysis and Convolutional Neural Networks Unresolved cited work

Reference 34

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Improving Remote Sensing Classification using Topological Data Analysis and Convolutional Neural Networks Singh, C

Reference 35

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Improving Remote Sensing Classification using Topological Data Analysis and Convolutional Neural Networks Unresolved cited work

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Improving Remote Sensing Classification using Topological Data Analysis and Convolutional Neural Networks Unresolved cited work

Reference 2019

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Improving Remote Sensing Classification using Topological Data Analysis and Convolutional Neural Networks Unresolved cited work

Reference 2021

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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.

source=pdf_text observed=2026-08-06T17:36:39.372111Z digest=sha256:8f4d1e66f368de01834a6d1accbf5cca42d1dfe60bab153a701d9ae403d3f409

Observation b700012c-f986-4820-8af9-cf9364b2d4e6 · outbound

This paper cites An Evolutionary Approach to Dynamic Introduction of Tasks in Large-scale Multitask Learning Systems.

Improving Remote Sensing Classification using Topological Data Analysis and Convolutional Neural Networks An Evolutionary Approach to Dynamic Introduction of Tasks in Large-scale Multitask Learning Systems

Reference 2022

Resolution
metadata mismatch
local_arxiv, observed 2026-08-06T17:36:39.949936Z

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=2026-08-06T17:36:38.039793Z digest=sha256:c3fd6f5b4a5e8217efb97f88c20009ce8380ab0c290af5099035c2b6deb5070d

Observation d82ef862-526e-470e-af5c-adba7e89b94d · outbound

This paper cites an unresolved cited work.

Improving Remote Sensing Classification using Topological Data Analysis and Convolutional Neural Networks Unresolved cited work

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-06T17:36:39.116440Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:36:39.116440Z digest=sha256:261b664a109d487a52291d62b62fec197b55aee3ef9268c7f0ad988dff8292bf

Observation 5355962a-cfbb-4e5f-a945-7dc40599a8ca · outbound

This paper cites an unresolved cited work.

Improving Remote Sensing Classification using Topological Data Analysis and Convolutional Neural Networks Unresolved cited work

Reference 2024

Resolution
verified exact
doi, observed 2026-08-06T17:36:39.730869Z

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=2026-08-06T17:36:39.693140Z digest=sha256:b4556405df9bf210ac35e6717cfde92f122791a56df80353eaf853e84d1cf5d6

Observation 037ee934-22a7-4d5b-a59c-7b1953e692d8 · outbound

This paper cites an unresolved cited work.

Improving Remote Sensing Classification using Topological Data Analysis and Convolutional Neural Networks Unresolved cited work

Reference 2025

Resolution
unresolved
raw_fallback, observed 2026-08-06T17:36:41.048020Z

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=2026-08-06T17:36:38.716718Z digest=sha256:a98b4eaa7465d80ebc0d78adf82b4d3aed1d9f8381d7b4a9ac026ff36a9b1a46

Pith citing papers

No inbound Pith citation observations are available.