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Paper Citation Record · LEDGER

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

As of 8 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.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

42 of 42 outbound references displayed

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  • verified fuzzy7
  • unresolved18
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External citation measurements

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Outbound references

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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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Observation 9da011d9-eb1e-43b5-970b-0bc05f9da05c · outbound

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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Observation eeca605b-2461-4f18-852c-7cad0d9baf74 · outbound

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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This paper cites Lu, S.-B.

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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This paper cites Ofori-Boateng, H.

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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This paper cites giotto-tda: A Topological Data Analysis Toolkit for Machine Learning and Data Exploration.

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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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T17:36:39.372111Z digest=sha256:bfd6bd561015d9e0da267e1b975e67e4954c36022e79b04808f450b984b34a62

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T17:36:38.039793Z digest=sha256:a8771a836a444cbed06f153581f5370e3533c5af89e0352eaa2d1b9f1d665abb

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=sha256:7ea5cb8d4bd49c7abb23fc69154bd1a96fe80928670687a074da2cf8b5483e0a

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T17:36:39.693140Z digest=sha256:9fc571ac4b5d2ff66a4d68465eaa459c481a2ce5b62874a293e4d260a9f76211

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T17:36:38.716718Z digest=sha256:89c32062bcba4134e2609c6310357042d202032def2e9e02b3ed7a2a7b88c1df

Pith citing papers

No inbound Pith citation observations are available.