Paper Citation Record · LEDGER

Multi-Label Transfer Learning in Non-Stationary Data Streams

As of 4 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:2509.08181.

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

pith.paper-citation-record.v1
2509.08181 v1

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T21:12:02.474192Z

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+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

39 of 39 outbound references displayed

verified exact1
verified fuzzy34
unresolved4
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 97e9ea33-bb33-4743-96c9-81b584186c6f · outbound

This paper cites Learning from Data Streams: An Overview and Update.

Multi-Label Transfer Learning in Non-Stationary Data Streams Learning from Data Streams: An Overview and Update

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-08-04T21:12:02.502911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation b54f8ca9-8cf8-40ae-ac13-6ed01ad3a8a0 · outbound

This paper cites Dealing with concept drift and class imbalance in multi-label stream classification,.

Multi-Label Transfer Learning in Non-Stationary Data Streams Dealing with concept drift and class imbalance in multi-label stream classification,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:12:02.789457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation d3ab4190-c25d-4b45-ab79-d2238e11c420 · outbound

This paper cites A novel online stacked ensemble for multi-label stream classification,.

Multi-Label Transfer Learning in Non-Stationary Data Streams A novel online stacked ensemble for multi-label stream classification,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:12:02.782127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 83895315-b366-4e95-a629-41c8c2180e45 · outbound

This paper cites A comprehensive survey on transfer learning,.

Multi-Label Transfer Learning in Non-Stationary Data Streams A comprehensive survey on transfer learning,

Reference 4

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Source-reported events for the cited work

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Observation 9ffe7256-5bf1-4012-ab80-6286156d0d8d · outbound

This paper cites Addressing the curse of imbalanced training sets: one-sided selection,.

Multi-Label Transfer Learning in Non-Stationary Data Streams Addressing the curse of imbalanced training sets: one-sided selection,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:12:02.770097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation be2f5e17-5b5e-46e8-89ac-b71ee6f9ce62 · outbound

This paper cites Ddd: A new ensemble approach for dealing with concept drift,.

Multi-Label Transfer Learning in Non-Stationary Data Streams Ddd: A new ensemble approach for dealing with concept drift,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:12:02.762402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation d36790d0-4ec1-43c1-aef0-48766bf1c2fe · outbound

This paper cites Online transfer learning,.

Multi-Label Transfer Learning in Non-Stationary Data Streams Online transfer learning,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:12:02.755024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 99d91e02-3a9e-4af8-b40c-3fff46b8b522 · outbound

This paper cites Multi-source transfer learning for non-stationary environments,.

Multi-Label Transfer Learning in Non-Stationary Data Streams Multi-source transfer learning for non-stationary environments,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-04T21:12:02.193700Z

Source-reported events for the cited work

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Observation 0cd687fe-036e-4ef5-b7ca-d78c4ebbbba5 · outbound

This paper cites Online boosting adaptive learning under concept drift for multistream classification,.

Multi-Label Transfer Learning in Non-Stationary Data Streams Online boosting adaptive learning under concept drift for multistream classification,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:12:02.743245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 9457834f-58d4-419d-85bd-65f02c88e6a5 · outbound

This paper cites Marline: Multi-source mapping transfer learning for non-stationary environments,.

Multi-Label Transfer Learning in Non-Stationary Data Streams Marline: Multi-source mapping transfer learning for non-stationary environments,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:12:02.735960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 27fe351f-a83c-401e-86aa-d3892bba79f6 · outbound

This paper cites Concept drift adaptation by ex- ploiting historical knowledge,.

Multi-Label Transfer Learning in Non-Stationary Data Streams Concept drift adaptation by ex- ploiting historical knowledge,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:12:02.727629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation d6417db4-b52e-4758-80f9-fb0ae530d5b7 · outbound

This paper cites Concept drift- tolerant transfer learning in dynamic environments,.

Multi-Label Transfer Learning in Non-Stationary Data Streams Concept drift- tolerant transfer learning in dynamic environments,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:12:02.719726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 48dbdbeb-72fb-406e-8c1f-967ad2b2aa30 · outbound

This paper cites Otl-ce: Online transfer learning for data streams with class evolution,.

Multi-Label Transfer Learning in Non-Stationary Data Streams Otl-ce: Online transfer learning for data streams with class evolution,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:12:02.711386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation ccbe5b3b-1f11-4af6-aa75-4f15d7b24803 · outbound

This paper cites Automatic online multi-source domain adaptation,.

Multi-Label Transfer Learning in Non-Stationary Data Streams Automatic online multi-source domain adaptation,

Reference 14

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Source-reported events for the cited work

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Observation 2aafa09e-3d89-440f-bbf8-d012e8581f4e · outbound

This paper cites Discriminative methods for multi-labeled classification,.

Multi-Label Transfer Learning in Non-Stationary Data Streams Discriminative methods for multi-labeled classification,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:12:02.697625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 32106bf7-7972-4fbf-bfce-94dd4da09b20 · outbound

This paper cites Classifier chains for multi-label classification,.

Multi-Label Transfer Learning in Non-Stationary Data Streams Classifier chains for multi-label classification,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:12:02.689945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 68b02731-afed-4923-afa3-f7bf5af83f6a · outbound

This paper cites Multilabel classification via calibrated label ranking,.

Multi-Label Transfer Learning in Non-Stationary Data Streams Multilabel classification via calibrated label ranking,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:12:02.681654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation f7c7b6d7-dcc0-47e4-b0fb-49551e6e4732 · outbound

This paper cites Multi-label classification using ensembles of pruned sets,.

Multi-Label Transfer Learning in Non-Stationary Data Streams Multi-label classification using ensembles of pruned sets,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:12:02.673918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 1cf0e3f2-b37a-4825-8a9c-3609ad0a9c50 · outbound

This paper cites Multi-label classification via multi-target regression on data streams,.

Multi-Label Transfer Learning in Non-Stationary Data Streams Multi-label classification via multi-target regression on data streams,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:12:02.666654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation c009bd14-aa74-409b-b9cb-254b14ee0b1c · outbound

This paper cites A weighted ensemble classification algorithm based on nearest neighbors for multi-label data stream,.

Multi-Label Transfer Learning in Non-Stationary Data Streams A weighted ensemble classification algorithm based on nearest neighbors for multi-label data stream,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:12:02.658776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 9569390b-90c0-4987-8bc6-b12c48949e95 · outbound

This paper cites Weak multi-label data stream classification under distribution changes in labels,.

Multi-Label Transfer Learning in Non-Stationary Data Streams Weak multi-label data stream classification under distribution changes in labels,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:12:02.649762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 9b8de0ab-7f9e-48e5-9d86-82b977dcafb5 · outbound

This paper cites High-dimensional multi-label data stream classification with concept drifting detection,.

Multi-Label Transfer Learning in Non-Stationary Data Streams High-dimensional multi-label data stream classification with concept drifting detection,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:12:02.641811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 0268d128-034b-43d9-9cab-0e986955b54d · outbound

This paper cites Hoeffding adaptive trees for multi-label classification on data streams,.

Multi-Label Transfer Learning in Non-Stationary Data Streams Hoeffding adaptive trees for multi-label classification on data streams,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:12:02.633757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 86b34c36-d43a-4a5b-be82-a22cebd76722 · outbound

This paper cites Leveraging bagging for evolving data streams,.

Multi-Label Transfer Learning in Non-Stationary Data Streams Leveraging bagging for evolving data streams,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:12:02.625999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 4b2e515e-12df-4dab-bbb6-10551205e666 · outbound

This paper cites Scalable and efficient multi-label classification for evolving data streams,.

Multi-Label Transfer Learning in Non-Stationary Data Streams Scalable and efficient multi-label classification for evolving data streams,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:12:02.618934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 8162ff27-c0fc-49e6-b40c-ed167e3dfd5e · outbound

This paper cites Mining high-speed data streams,.

Multi-Label Transfer Learning in Non-Stationary Data Streams Mining high-speed data streams,

Reference 26

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Source-reported events for the cited work

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Observation a9769483-1f12-41f8-98b8-6f24be10e296 · outbound

This paper cites Concept drift detection for online class imbalance learning,.

Multi-Label Transfer Learning in Non-Stationary Data Streams Concept drift detection for online class imbalance learning,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:12:02.606273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 84c62fb5-9fa3-472f-8b45-c85ea83c60d5 · outbound

This paper cites Online multi-label streaming feature selection with label correlation,.

Multi-Label Transfer Learning in Non-Stationary Data Streams Online multi-label streaming feature selection with label correlation,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:12:02.598550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation c3af0a3a-29e6-4d38-9467-754da9f84e06 · outbound

This paper cites Multi-label classification from high-speed data streams with adaptive model rules and random rules,.

Multi-Label Transfer Learning in Non-Stationary Data Streams Multi-label classification from high-speed data streams with adaptive model rules and random rules,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:12:02.591453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation da508c1a-9b9d-4acc-b24f-45f2a314289b · outbound

This paper cites Multi- label learning on low label density sets with few examples,.

Multi-Label Transfer Learning in Non-Stationary Data Streams Multi- label learning on low label density sets with few examples,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:12:02.584017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 59d18f95-8d42-4e93-a2a8-1614af3e59eb · outbound

This paper cites A survey on multi-label data stream classification,.

Multi-Label Transfer Learning in Non-Stationary Data Streams A survey on multi-label data stream classification,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:12:02.576042Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation b1e496b4-7933-4228-a6f0-51cad48fdc04 · outbound

This paper cites Moa: Massive online analysis,.

Multi-Label Transfer Learning in Non-Stationary Data Streams Moa: Massive online analysis,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:12:02.567659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 463d8fb0-b46a-4e58-8ee4-54c02c1e7fbf · outbound

This paper cites Meka: a multi-label/multi-target extension to weka,.

Multi-Label Transfer Learning in Non-Stationary Data Streams Meka: a multi-label/multi-target extension to weka,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:12:02.559758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation d091e09a-99a8-4c9f-be9c-2da3633757c5 · outbound

This paper cites New ensemble methods for evolving data streams,.

Multi-Label Transfer Learning in Non-Stationary Data Streams New ensemble methods for evolving data streams,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:12:02.552340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 60d88b98-d851-45e6-8aab-40934ed78823 · outbound

This paper cites A survey on concept drift adaptation,.

Multi-Label Transfer Learning in Non-Stationary Data Streams A survey on concept drift adaptation,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:12:02.544316Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 6cfa00a7-9279-4094-9ef7-38a4fe2f3937 · outbound

This paper cites Multi-label classification: do hamming loss and subset accuracy really conflict with each other?.

Multi-Label Transfer Learning in Non-Stationary Data Streams Multi-label classification: do hamming loss and subset accuracy really conflict with each other?

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:12:02.535616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation c1cc9677-3463-4a33-84c8-48c189ad62a7 · outbound

This paper cites Mlcm: Multi-label confu- sion matrix,.

Multi-Label Transfer Learning in Non-Stationary Data Streams Mlcm: Multi-label confu- sion matrix,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:12:02.527743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 3b69f422-78f5-478a-b546-1a7a1313eb45 · outbound

This paper cites Addressing imbalance in multilabel classification: Measures and random resampling algorithms,.

Multi-Label Transfer Learning in Non-Stationary Data Streams Addressing imbalance in multilabel classification: Measures and random resampling algorithms,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:12:02.520043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 782f62b0-2536-4944-b330-03d0a0c70306 · outbound

This paper cites Resampling-based ensemble methods for online class imbalance learning,.

Multi-Label Transfer Learning in Non-Stationary Data Streams Resampling-based ensemble methods for online class imbalance learning,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:12:02.511416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Pith citing papers

No inbound Pith citation observations are available.