Paper Citation Record · LEDGER

NOMADD: Numerical Optimization of Models Adapting to Data Drift

As of 20 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 0 inbound Pith citation observations for arXiv:2608.02845.

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

pith.paper-citation-record.v1
2608.02845 v1

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T15:05:18.428318Z

measured 41 of 41 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

41 of 41 outbound references displayed

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verified fuzzy28
unresolved13
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 63ceec30-c19f-4605-a1b9-6a387ae75bb9 · outbound

This paper cites Drift-Resilient.

NOMADD: Numerical Optimization of Models Adapting to Data Drift Drift-Resilient

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:05:19.470547Z

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Observation 1b2c790e-efbf-433e-912c-50206b7e6e5d · outbound

This paper cites , author=.

NOMADD: Numerical Optimization of Models Adapting to Data Drift , author=

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:05:19.448343Z

Source-reported events for the cited work

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Observation 9e3d3767-b0d5-4d81-9625-247b8d61425e · outbound

This paper cites 2008 Eighth IEEE International Conference on Data Mining , pages=.

NOMADD: Numerical Optimization of Models Adapting to Data Drift 2008 Eighth IEEE International Conference on Data Mining , pages=

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:05:19.424718Z

Source-reported events for the cited work

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Observation ae28a988-1c46-45ce-9682-684222ce32b5 · outbound

This paper cites Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.

NOMADD: Numerical Optimization of Models Adapting to Data Drift Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:05:19.396637Z

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Observation b52e266d-96bf-415f-b162-81a7688a117c · outbound

This paper cites RAG vs Fine-tuning: Pipelines, Tradeoffs, and a Case Study on Agriculture.

NOMADD: Numerical Optimization of Models Adapting to Data Drift RAG vs Fine-tuning: Pipelines, Tradeoffs, and a Case Study on Agriculture

Reference 5

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Source-reported events for the cited work

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Observation de57b2ae-6ee7-4ecd-acc5-31ae780fd7b7 · outbound

This paper cites 2024 12th International Conference on Affective Computing and Intelligent Interaction (ACII) , pages=.

NOMADD: Numerical Optimization of Models Adapting to Data Drift 2024 12th International Conference on Affective Computing and Intelligent Interaction (ACII) , pages=

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:05:19.370913Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e2337323-4e9c-45bc-8d4f-70438a48bb94 · outbound

This paper cites Procedia computer science , volume=.

NOMADD: Numerical Optimization of Models Adapting to Data Drift Procedia computer science , volume=

Reference 7

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Source-reported events for the cited work

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Observation 64f7e12e-7191-4805-acee-deb7b7e081f6 · outbound

This paper cites Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining , pages=.

NOMADD: Numerical Optimization of Models Adapting to Data Drift Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining , pages=

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-15T15:05:18.152210Z

Source-reported events for the cited work

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Observation 865b02da-637e-4c7f-81ee-4c21c5119a6b · outbound

This paper cites Concept Drift Adaptation by Exploiting Historical Knowledge , year=.

NOMADD: Numerical Optimization of Models Adapting to Data Drift Concept Drift Adaptation by Exploiting Historical Knowledge , year=

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:05:19.302544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7e9ea881-2a52-4a2b-a263-b81eeb172d9d · outbound

This paper cites Identifying Shifts in Collective Attention to Topics on Social Media.

NOMADD: Numerical Optimization of Models Adapting to Data Drift Identifying Shifts in Collective Attention to Topics on Social Media

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:05:19.262876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 48cce0c0-8be4-4203-b8fe-03947cae72ba · outbound

This paper cites 2021 International Conference on Data Mining Workshops (ICDMW) , pages=.

NOMADD: Numerical Optimization of Models Adapting to Data Drift 2021 International Conference on Data Mining Workshops (ICDMW) , pages=

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:05:19.236719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a0b22dd4-119c-4fc9-8d5f-fb1071d4a2dd · outbound

This paper cites IEEE transactions on knowledge and data engineering , volume=.

NOMADD: Numerical Optimization of Models Adapting to Data Drift IEEE transactions on knowledge and data engineering , volume=

Reference 12

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Source-reported events for the cited work

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Observation 93c55a22-f32f-4f6a-9fa9-e558977ce309 · outbound

This paper cites Proceedings of the IEEE international conference on computer vision , pages=.

NOMADD: Numerical Optimization of Models Adapting to Data Drift Proceedings of the IEEE international conference on computer vision , pages=

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-15T15:05:18.194797Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4de15ec0-e59c-4a20-8de4-eb0e915a3624 · outbound

This paper cites 2018 , publisher=.

NOMADD: Numerical Optimization of Models Adapting to Data Drift 2018 , publisher=

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:05:19.176339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation bc114dc3-7984-4493-94d5-aafbbd0f5469 · outbound

This paper cites Online Learning: A Modern Introduction Using Convex Optimization.

NOMADD: Numerical Optimization of Models Adapting to Data Drift Online Learning: A Modern Introduction Using Convex Optimization

Reference 15

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Observation 38f1567d-eb82-43d2-971a-c68e7300e7c3 · outbound

This paper cites 2022 , school=.

NOMADD: Numerical Optimization of Models Adapting to Data Drift 2022 , school=

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:05:19.149553Z

Source-reported events for the cited work

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Observation 9bf0900b-0dff-42ae-bef4-4587fa29fee4 · outbound

This paper cites Credit card fraud detection and concept-drift adaptation with delayed supervised information , year=.

NOMADD: Numerical Optimization of Models Adapting to Data Drift Credit card fraud detection and concept-drift adaptation with delayed supervised information , year=

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:05:19.121731Z

Source-reported events for the cited work

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Observation 458ac118-f111-4f1b-84f2-9bea9e6ae45d · outbound

This paper cites Explainable AI for Interpretable Credit Scoring.

NOMADD: Numerical Optimization of Models Adapting to Data Drift Explainable AI for Interpretable Credit Scoring

Reference 18

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Source-reported events for the cited work

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Observation 6a110f2e-e39c-4e28-b4b4-20c2314480e9 · outbound

This paper cites New Media & Society , volume=.

NOMADD: Numerical Optimization of Models Adapting to Data Drift New Media & Society , volume=

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:05:19.091244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8a9d9205-e924-48b0-8fc4-c2e6561655e1 · outbound

This paper cites Social Media+ Society , volume=.

NOMADD: Numerical Optimization of Models Adapting to Data Drift Social Media+ Society , volume=

Reference 20

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Source-reported events for the cited work

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Observation 77103490-d980-44a7-866b-6af401705cb7 · outbound

This paper cites Proceedings of the 22nd acm sigkdd international conference on knowledge discovery and data mining , pages=.

NOMADD: Numerical Optimization of Models Adapting to Data Drift Proceedings of the 22nd acm sigkdd international conference on knowledge discovery and data mining , pages=

Reference 21

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d6e5e785-5b8b-49ce-94d7-0535cf24cda6 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

NOMADD: Numerical Optimization of Models Adapting to Data Drift Advances in Neural Information Processing Systems , volume=

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:05:19.019721Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9030560c-37e5-421c-b9ec-66cd6f3bb35a · outbound

This paper cites Proceedings of Machine Learning and Systems , volume=.

NOMADD: Numerical Optimization of Models Adapting to Data Drift Proceedings of Machine Learning and Systems , volume=

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:05:18.996373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d3e42deb-d360-43ad-970f-12fa993792b0 · outbound

This paper cites Computers & operations research , volume=.

NOMADD: Numerical Optimization of Models Adapting to Data Drift Computers & operations research , volume=

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:05:18.969779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d4d5fce0-8426-4771-a457-d8e75bb2123c · outbound

This paper cites Journal of Accounting Research , volume=.

NOMADD: Numerical Optimization of Models Adapting to Data Drift Journal of Accounting Research , volume=

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:05:18.941975Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ea09d55f-6039-4f72-abae-f8caee81204c · outbound

This paper cites Statistical applications in genetics and molecular biology , volume=.

NOMADD: Numerical Optimization of Models Adapting to Data Drift Statistical applications in genetics and molecular biology , volume=

Reference 26

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Source-reported events for the cited work

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Observation 1859369d-a8f0-4853-a667-924ec5c4738a · outbound

This paper cites Proceedings of the IEEE conference on computer vision and pattern recognition , pages=.

NOMADD: Numerical Optimization of Models Adapting to Data Drift Proceedings of the IEEE conference on computer vision and pattern recognition , pages=

Reference 27

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Observation dd8caf83-836c-44fd-b501-a0b8d9ba5023 · outbound

This paper cites , author=.

NOMADD: Numerical Optimization of Models Adapting to Data Drift , author=

Reference 28

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This paper cites Proceedings of the 2015 internet measurement conference , pages=.

NOMADD: Numerical Optimization of Models Adapting to Data Drift Proceedings of the 2015 internet measurement conference , pages=

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:05:18.858044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation af54ea74-2bca-42e8-85d4-4e964bec2f5d · outbound

This paper cites International Conference on Learning Representations , year =.

NOMADD: Numerical Optimization of Models Adapting to Data Drift International Conference on Learning Representations , year =

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:05:18.832846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 56cd1d50-ba4d-4155-975e-610d9c3e8f96 · outbound

This paper cites ACM Computing Surveys , volume =.

NOMADD: Numerical Optimization of Models Adapting to Data Drift ACM Computing Surveys , volume =

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:05:18.803223Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 67569209-4bcc-4f1c-aa9b-d78a6d2de2c6 · outbound

This paper cites ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) , pages=.

NOMADD: Numerical Optimization of Models Adapting to Data Drift ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) , pages=

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:05:18.779701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5ca1c0e0-d840-4738-93d4-29e5db4f2080 · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , volume=.

NOMADD: Numerical Optimization of Models Adapting to Data Drift Proceedings of the AAAI Conference on Artificial Intelligence , volume=

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:05:18.755991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a8930831-1a29-42cb-92ab-af2ba7431e3d · outbound

This paper cites IEEE Transactions on Knowledge and Data Engineering , volume=.

NOMADD: Numerical Optimization of Models Adapting to Data Drift IEEE Transactions on Knowledge and Data Engineering , volume=

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:05:18.726240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e7004e8f-29c3-4382-bd6f-6effe628186c · outbound

This paper cites Continuously Indexed Domain Adaptation.

NOMADD: Numerical Optimization of Models Adapting to Data Drift Continuously Indexed Domain Adaptation

Reference 35

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Source-reported events for the cited work

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Observation 97e132b0-357b-42e2-bcb4-86e68b118969 · outbound

This paper cites Advances in Neural Information Processing Systems , volume =.

NOMADD: Numerical Optimization of Models Adapting to Data Drift Advances in Neural Information Processing Systems , volume =

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:05:18.705878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 22edf660-8c6c-42ad-bc11-d97d2742002f · outbound

This paper cites International Conference on Learning Representations , year =.

NOMADD: Numerical Optimization of Models Adapting to Data Drift International Conference on Learning Representations , year =

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:05:18.672634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4ce14a8e-b5c9-4c27-856a-eb71b401f99f · outbound

This paper cites Advances in Neural Information Processing Systems , volume =.

NOMADD: Numerical Optimization of Models Adapting to Data Drift Advances in Neural Information Processing Systems , volume =

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:05:18.649191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d3b85225-3818-4b63-8090-f5e2fc868d6b · outbound

This paper cites Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing , year =.

NOMADD: Numerical Optimization of Models Adapting to Data Drift Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing , year =

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:05:18.628206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7d8f9956-1569-4d6c-82e8-205f8a8cb6b6 · outbound

This paper cites Neural Computation , volume =.

NOMADD: Numerical Optimization of Models Adapting to Data Drift Neural Computation , volume =

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:05:18.607804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 480d6f28-41de-4915-a949-5f09efa56a29 · outbound

This paper cites Advances in Neural Information Processing Systems , volume =.

NOMADD: Numerical Optimization of Models Adapting to Data Drift Advances in Neural Information Processing Systems , volume =

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:05:18.583767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Pith citing papers

No inbound Pith citation observations are available.