Paper Citation Record · LEDGER

IncA-DES: An incremental and adaptive dynamic ensemble selection approach using online K-d tree neighborhood search for data streams with concept drift

As of 13 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2507.12573.

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

pith.paper-citation-record.v1
2507.12573 v1

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:52:33.510991Z

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+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

verified exact1
verified fuzzy11
unresolved15
parse uncertain0
malformed identifier1
metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 06489306-4a9b-4152-bd7d-58fdf53d477e · outbound

This paper cites an unresolved cited work.

IncA-DES: An incremental and adaptive dynamic ensemble selection approach using online K-d tree neighborhood search for data streams with concept drift Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-06T16:52:38.704723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 42f9f28f-7341-4053-b79b-c0bf3b8326d8 · outbound

This paper cites UCI Machine Learning Repository.

IncA-DES: An incremental and adaptive dynamic ensemble selection approach using online K-d tree neighborhood search for data streams with concept drift UCI Machine Learning Repository

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T16:52:32.401964Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 21df2941-28f8-45ab-a2bc-5b3159b4d101 · outbound

This paper cites ikd-Tree: An Incremental K-D Tree for Robotic Applications.

IncA-DES: An incremental and adaptive dynamic ensemble selection approach using online K-d tree neighborhood search for data streams with concept drift ikd-Tree: An Incremental K-D Tree for Robotic Applications

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T16:52:32.435015Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8f716d87-198e-421c-9569-f253c666bafa · outbound

This paper cites an unresolved cited work.

IncA-DES: An incremental and adaptive dynamic ensemble selection approach using online K-d tree neighborhood search for data streams with concept drift Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-08-06T16:52:38.451214Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 25c35338-1219-4caa-9d38-2d35857a3d87 · outbound

This paper cites an unresolved cited work.

IncA-DES: An incremental and adaptive dynamic ensemble selection approach using online K-d tree neighborhood search for data streams with concept drift Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-08-06T16:52:34.620110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 3528cf6a-a6c2-4123-bdf0-0711faa4e70c · outbound

This paper cites IEEE Access 11, 126040–126051.

IncA-DES: An incremental and adaptive dynamic ensemble selection approach using online K-d tree neighborhood search for data streams with concept drift IEEE Access 11, 126040–126051

Reference 14

Resolution: metadata mismatch; raw_fallback, observed 2026-08-06T16:52:34.113049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation c49ebc7d-7faf-407d-bb2a-1ed022415e88 · outbound

This paper cites Pattern Recognition Letters 180, 55–61.

IncA-DES: An incremental and adaptive dynamic ensemble selection approach using online K-d tree neighborhood search for data streams with concept drift Pattern Recognition Letters 180, 55–61

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:52:36.295475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation cdd057ec-0b67-441a-9113-815a04911bc1 · outbound

This paper cites (Eds.), Advances in Neural Information Processing Systems, Curran Associates, Inc.

IncA-DES: An incremental and adaptive dynamic ensemble selection approach using online K-d tree neighborhood search for data streams with concept drift (Eds.), Advances in Neural Information Processing Systems, Curran Associates, Inc

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:52:36.101028Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 6c1594c9-1aaa-48db-a40c-7b7909b3f4e3 · outbound

This paper cites (Eds.), Machine Learning and Knowledge Discovery in Databases, Springer International Publishing, Cham.

IncA-DES: An incremental and adaptive dynamic ensemble selection approach using online K-d tree neighborhood search for data streams with concept drift (Eds.), Machine Learning and Knowledge Discovery in Databases, Springer International Publishing, Cham

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:52:35.913628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 772ac41a-a4ce-4fff-aeac-229ea76fd51f · outbound

This paper cites UCI Machine Learning Repository.

IncA-DES: An incremental and adaptive dynamic ensemble selection approach using online K-d tree neighborhood search for data streams with concept drift UCI Machine Learning Repository

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T16:52:33.172491Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1c2a1026-071a-40df-9df1-04435a05918c · outbound

This paper cites ICT Express 6, 332–338.

IncA-DES: An incremental and adaptive dynamic ensemble selection approach using online K-d tree neighborhood search for data streams with concept drift ICT Express 6, 332–338

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:52:35.075662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 6b1dbaa1-e02d-4945-ac59-a4e44f987e60 · outbound

This paper cites UCI Machine Learning Repository.

IncA-DES: An incremental and adaptive dynamic ensemble selection approach using online K-d tree neighborhood search for data streams with concept drift UCI Machine Learning Repository

Reference 1991

Resolution: unresolved; no resolver link, observed 2026-08-06T16:52:32.976092Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d6428566-8ffc-4aac-9c44-ca095141b096 · outbound

This paper cites Information and Computation 121, 256–285.

IncA-DES: An incremental and adaptive dynamic ensemble selection approach using online K-d tree neighborhood search for data streams with concept drift Information and Computation 121, 256–285

Reference 1995

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:52:37.679612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 1c86201f-5e1e-42ca-942e-d21115dea13d · outbound

This paper cites UCI Machine Learning Repository.

IncA-DES: An incremental and adaptive dynamic ensemble selection approach using online K-d tree neighborhood search for data streams with concept drift UCI Machine Learning Repository

Reference 1998

Resolution: unresolved; no resolver link, observed 2026-08-06T16:52:32.279675Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9ab9e61d-c5e4-4f5c-8eb6-af35c0e5f3ee · outbound

This paper cites an unresolved cited work.

IncA-DES: An incremental and adaptive dynamic ensemble selection approach using online K-d tree neighborhood search for data streams with concept drift Unresolved cited work

Reference 2000

Resolution: malformed identifier; raw_fallback, observed 2026-08-06T16:52:34.875198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 25ccbe69-3083-478f-8d2d-d2182254a502 · outbound

This paper cites an unresolved cited work.

IncA-DES: An incremental and adaptive dynamic ensemble selection approach using online K-d tree neighborhood search for data streams with concept drift Unresolved cited work

Reference 2003

Resolution: unresolved; raw_fallback, observed 2026-08-06T16:52:35.344455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation e7de7bc5-e572-407b-8a9e-ac9683ade162 · outbound

This paper cites (Eds.), Advances in Artificial Intelligence – SBIA 2004, Springer Berlin Heidelberg, Berlin, Heidelberg.

IncA-DES: An incremental and adaptive dynamic ensemble selection approach using online K-d tree neighborhood search for data streams with concept drift (Eds.), Advances in Artificial Intelligence – SBIA 2004, Springer Berlin Heidelberg, Berlin, Heidelberg

Reference 2004

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:52:37.482860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 49ef54f8-2c1e-4ba3-9319-e8525490e285 · outbound

This paper cites 2340–2345 Vol.

IncA-DES: An incremental and adaptive dynamic ensemble selection approach using online K-d tree neighborhood search for data streams with concept drift 2340–2345 Vol

Reference 2005

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:52:36.585354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation bf61b55e-1230-4738-900f-984d70f55ec8 · outbound

This paper cites UCI Machine Learning Repository.

IncA-DES: An incremental and adaptive dynamic ensemble selection approach using online K-d tree neighborhood search for data streams with concept drift UCI Machine Learning Repository

Reference 2008

Resolution: unresolved; no resolver link, observed 2026-08-06T16:52:33.370271Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d2b01d0d-b013-44c1-ae9e-5f8940fb32f3 · outbound

This paper cites IEEE Transactions on Knowledge and Data Engineering 22, 730–742.

IncA-DES: An incremental and adaptive dynamic ensemble selection approach using online K-d tree neighborhood search for data streams with concept drift IEEE Transactions on Knowledge and Data Engineering 22, 730–742

Reference 2010

Resolution: verified exact; doi, observed 2026-08-06T16:52:33.760606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation f7ab33b8-5a42-43c9-9e45-48e324a719e1 · outbound

This paper cites IEEE Transactions on Neural Networks 22, 1517–1531.

IncA-DES: An incremental and adaptive dynamic ensemble selection approach using online K-d tree neighborhood search for data streams with concept drift IEEE Transactions on Neural Networks 22, 1517–1531

Reference 2011

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:52:37.953441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 527fc2e0-915d-4c17-89b4-15e10c1e6818 · outbound

This paper cites UCI Machine Learning Repository.

IncA-DES: An incremental and adaptive dynamic ensemble selection approach using online K-d tree neighborhood search for data streams with concept drift UCI Machine Learning Repository

Reference 2012

Resolution: unresolved; no resolver link, observed 2026-08-06T16:52:33.245783Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 567a170d-f96c-41ed-8825-5f07740bf658 · outbound

This paper cites an unresolved cited work.

IncA-DES: An incremental and adaptive dynamic ensemble selection approach using online K-d tree neighborhood search for data streams with concept drift Unresolved cited work

Reference 2016

Resolution: unresolved; raw_fallback, observed 2026-08-06T16:52:37.061676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 0e8e57cc-35f1-49ce-bfbe-832f0a1f70d1 · outbound

This paper cites an unresolved cited work.

IncA-DES: An incremental and adaptive dynamic ensemble selection approach using online K-d tree neighborhood search for data streams with concept drift Unresolved cited work

Reference 2017

Resolution: unresolved; raw_fallback, observed 2026-08-06T16:52:37.304392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 34e0eb57-c4c0-4578-8e95-e509c921a60c · outbound

This paper cites Engineering Applications of Artificial Intelligence 74, 198–211.

IncA-DES: An incremental and adaptive dynamic ensemble selection approach using online K-d tree neighborhood search for data streams with concept drift Engineering Applications of Artificial Intelligence 74, 198–211

Reference 2018

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:52:35.650293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation eb88bf75-3f9c-4107-b947-863475e9cc52 · outbound

This paper cites International Journal of Intelligent Systems and Applications in Engineering.

IncA-DES: An incremental and adaptive dynamic ensemble selection approach using online K-d tree neighborhood search for data streams with concept drift International Journal of Intelligent Systems and Applications in Engineering

Reference 2019

Resolution: metadata mismatch; raw_fallback, observed 2026-08-06T16:52:34.380332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 109c2348-307c-44a2-b394-dd0e0b93032f · outbound

This paper cites Digital Threats: Research and Practice.

IncA-DES: An incremental and adaptive dynamic ensemble selection approach using online K-d tree neighborhood search for data streams with concept drift Digital Threats: Research and Practice

Reference 2020

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:52:38.216022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation b13d9924-4f9a-4bd6-84da-23ebdb5eecc8 · outbound

This paper cites Detecting Concept Drift With Neural Network Model Uncertainty.

IncA-DES: An incremental and adaptive dynamic ensemble selection approach using online K-d tree neighborhood search for data streams with concept drift Detecting Concept Drift With Neural Network Model Uncertainty

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-06T16:52:32.326404Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d4e2f386-305e-4d14-b27c-40898b81f20e · outbound

This paper cites an unresolved cited work.

IncA-DES: An incremental and adaptive dynamic ensemble selection approach using online K-d tree neighborhood search for data streams with concept drift Unresolved cited work

Reference 2023

Resolution: unresolved; raw_fallback, observed 2026-08-06T16:52:38.922936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 30291c71-bdaa-4deb-abff-58992796bfa3 · outbound

This paper cites Applied Computing and Informatics 20, 35–54.

IncA-DES: An incremental and adaptive dynamic ensemble selection approach using online K-d tree neighborhood search for data streams with concept drift Applied Computing and Informatics 20, 35–54

Reference 2024

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:52:36.812011Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Pith citing papers

No inbound Pith citation observations are available.