Paper Citation Record · LEDGER

Towards a Problem-Oriented Domain Adaptation Framework for Machine Learning

As of 16 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 0 inbound Pith citation observations for arXiv:2501.04528.

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

pith.paper-citation-record.v1
2501.04528 v1

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:35:08.592664Z

measured 37 of 37 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+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

37 of 37 outbound references displayed

verified exact6
verified fuzzy2
unresolved20
parse uncertain0
malformed identifier4
metadata mismatch5

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5b2a9752-1f4c-4bb6-b68e-c1cba782da6c · outbound

This paper cites The journal of machine learning research 17, 2096–2030.

Towards a Problem-Oriented Domain Adaptation Framework for Machine Learning The journal of machine learning research 17, 2096–2030

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:35:09.527556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 5d013c44-7dda-4aa0-9b71-d7e1c41f3086 · outbound

This paper cites an unresolved cited work.

Towards a Problem-Oriented Domain Adaptation Framework for Machine Learning Unresolved cited work

Reference 8

Resolution: unresolved; raw_fallback, observed 2026-08-10T21:35:09.510664Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation a979c87a-81f3-467e-9713-3e2806c56d31 · outbound

This paper cites Augmented Cyclic Adversarial Learning for Low Resource Domain Adaptation.

Towards a Problem-Oriented Domain Adaptation Framework for Machine Learning Augmented Cyclic Adversarial Learning for Low Resource Domain Adaptation

Reference 9

Resolution: metadata mismatch; local_arxiv, observed 2026-08-10T21:35:09.465057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 5f54e946-1390-4971-8afd-7f0580d5c723 · outbound

This paper cites Pearl, J.,.

Towards a Problem-Oriented Domain Adaptation Framework for Machine Learning Pearl, J.,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:35:09.498743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e27ff743-b267-47f8-afa9-9df1fb8c71f0 · outbound

This paper cites volume 6314, pp.

Towards a Problem-Oriented Domain Adaptation Framework for Machine Learning volume 6314, pp

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-10T21:35:08.481460Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cc0618ae-6cf0-4ccc-831a-6ea7ea94c64c · outbound

This paper cites Science 349, 255–260.

Towards a Problem-Oriented Domain Adaptation Framework for Machine Learning Science 349, 255–260

Reference 13

Resolution: malformed identifier; no resolver link, observed 2026-08-10T21:35:08.488746Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 142185f1-4aa7-41fd-ae33-7a7c6595d63b · outbound

This paper cites Unsupervised domain adaptation in brain lesion segmentation with adversarial networks.

Towards a Problem-Oriented Domain Adaptation Framework for Machine Learning Unsupervised domain adaptation in brain lesion segmentation with adversarial networks

Reference 14

Resolution: metadata mismatch; local_arxiv, observed 2026-08-10T21:35:09.448095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 7567db1d-7aea-40e6-bc36-3f986b973849 · outbound

This paper cites An introduction to domain adaptation and transfer learning.

Towards a Problem-Oriented Domain Adaptation Framework for Machine Learning An introduction to domain adaptation and transfer learning

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-10T21:35:08.499974Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4b2ca7e0-c405-44b5-8b39-9ec01270cfc5 · outbound

This paper cites Co-regularized Alignment for Unsupervised Domain Adaptation.

Towards a Problem-Oriented Domain Adaptation Framework for Machine Learning Co-regularized Alignment for Unsupervised Domain Adaptation

Reference 18

Resolution: metadata mismatch; local_arxiv, observed 2026-08-10T21:35:09.254696Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 8acc8f13-68b5-4036-82cb-5a1c167dcd2a · outbound

This paper cites an unresolved cited work.

Towards a Problem-Oriented Domain Adaptation Framework for Machine Learning Unresolved cited work

Reference 19

Resolution: verified exact; raw_fallback, observed 2026-08-10T21:35:09.238008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 46515568-4f64-403d-8d42-adc90062735b · outbound

This paper cites IEEE Transactions on Medical Imaging 34, 1018–1030.

Towards a Problem-Oriented Domain Adaptation Framework for Machine Learning IEEE Transactions on Medical Imaging 34, 1018–1030

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-10T21:35:08.517571Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4483475e-b9a5-4e43-b41f-0e8ba003a7b5 · outbound

This paper cites 2369–2372.

Towards a Problem-Oriented Domain Adaptation Framework for Machine Learning 2369–2372

Reference 23

Resolution: verified exact; doi, observed 2026-08-10T21:35:08.679333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation ed94d336-5e4c-49f0-8aba-03c2783a2630 · outbound

This paper cites A DIRT-T Approach to Unsupervised Domain Adaptation.

Towards a Problem-Oriented Domain Adaptation Framework for Machine Learning A DIRT-T Approach to Unsupervised Domain Adaptation

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-10T21:35:08.534598Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cf21863c-075c-4a25-8fe9-b11d48fb5f2d · outbound

This paper cites British Journal of Management 16, 19–36.

Towards a Problem-Oriented Domain Adaptation Framework for Machine Learning British Journal of Management 16, 19–36

Reference 25

Resolution: verified exact; raw_fallback, observed 2026-08-10T21:35:09.058997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 7fa06b09-f894-4a6e-976a-9f2fe99e59bf · outbound

This paper cites European Journal of Informa- tion Systems 25, 77–89.

Towards a Problem-Oriented Domain Adaptation Framework for Machine Learning European Journal of Informa- tion Systems 25, 77–89

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-10T21:35:08.543144Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0b672304-22f0-4291-a605-294822a87c1a · outbound

This paper cites Deep Visual Domain Adaptation: A Survey.

Towards a Problem-Oriented Domain Adaptation Framework for Machine Learning Deep Visual Domain Adaptation: A Survey

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-10T21:35:08.547484Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 10f7c4e4-d5e3-466a-8f85-3ca011c649e6 · outbound

This paper cites White, H.,.

Towards a Problem-Oriented Domain Adaptation Framework for Machine Learning White, H.,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-10T21:35:08.551337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5636cf34-4de8-444f-863c-6f7e29313cef · outbound

This paper cites Neural Computation 8, 1341–1390.

Towards a Problem-Oriented Domain Adaptation Framework for Machine Learning Neural Computation 8, 1341–1390

Reference 31

Resolution: malformed identifier; no resolver link, observed 2026-08-10T21:35:08.566502Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 41f3a8b7-7253-422b-9efb-6db164be3059 · outbound

This paper cites Transfer Adaptation Learning: A Decade Survey.

Towards a Problem-Oriented Domain Adaptation Framework for Machine Learning Transfer Adaptation Learning: A Decade Survey

Reference 33

Resolution: metadata mismatch; local_arxiv, observed 2026-08-10T21:35:08.892512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 00cf2b7b-a822-4a81-bcb0-d605c1060718 · outbound

This paper cites IEEE Access 6, 44698–44706.

Towards a Problem-Oriented Domain Adaptation Framework for Machine Learning IEEE Access 6, 44698–44706

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-10T21:35:08.583524Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4faadec0-8b45-4a83-b224-711cc7f21dc2 · outbound

This paper cites A Comprehensive Survey on Transfer Learning.

Towards a Problem-Oriented Domain Adaptation Framework for Machine Learning A Comprehensive Survey on Transfer Learning

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-10T21:35:08.587445Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation edae3c0e-7be9-413c-9df0-df85ee9b8815 · outbound

This paper cites Learning under Concept Drift: an Overview.

Towards a Problem-Oriented Domain Adaptation Framework for Machine Learning Learning under Concept Drift: an Overview

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-10T21:35:08.592664Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0159dd21-4d1a-4741-8dfc-88f713c4a9f3 · outbound

This paper cites Ganin, Y ., Ustinova, E., Ajakan, H., Germain, P., Larochelle, H., Laviolette, F., Marchand, M., Lempitsky, V .,.

Towards a Problem-Oriented Domain Adaptation Framework for Machine Learning Ganin, Y ., Ustinova, E., Ajakan, H., Germain, P., Larochelle, H., Laviolette, F., Marchand, M., Lempitsky, V .,

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-10T21:35:08.457647Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d8abf8aa-1bcb-407b-bded-008d9536c908 · outbound

This paper cites Zhang, K., Sch ¨olkopf, B., Muandet, K., Wang, Z.,.

Towards a Problem-Oriented Domain Adaptation Framework for Machine Learning Zhang, K., Sch ¨olkopf, B., Muandet, K., Wang, Z.,

Reference 188

Resolution: metadata mismatch; raw_fallback, observed 2026-08-10T21:35:08.965418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation a8fc7ae7-7033-4920-9904-01470afdaab7 · outbound

This paper cites IEEE Transactions on Pattern Analysis and Machine Intelligence 16, 550–554.

Towards a Problem-Oriented Domain Adaptation Framework for Machine Learning IEEE Transactions on Pattern Analysis and Machine Intelligence 16, 550–554

Reference 1994

Resolution: unresolved; no resolver link, observed 2026-08-10T21:35:08.477956Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b3252e2-fb38-4e05-bb93-c59f7f83ca90 · outbound

This paper cites Machine Learning 20, 273–297.

Towards a Problem-Oriented Domain Adaptation Framework for Machine Learning Machine Learning 20, 273–297

Reference 1995

Resolution: unresolved; no resolver link, observed 2026-08-10T21:35:08.447535Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4a9bcc73-70a7-4d19-a22a-7cab966da229 · outbound

This paper cites Machine Learning 23, 69–101.

Towards a Problem-Oriented Domain Adaptation Framework for Machine Learning Machine Learning 23, 69–101

Reference 1996

Resolution: malformed identifier; no resolver link, observed 2026-08-10T21:35:08.556367Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7645f358-b219-4f5f-9485-ab1acd0b42cf · outbound

This paper cites Neural Computation 14, 21–41.

Towards a Problem-Oriented Domain Adaptation Framework for Machine Learning Neural Computation 14, 21–41

Reference 2002

Resolution: unresolved; no resolver link, observed 2026-08-10T21:35:08.526527Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 03fb93be-4290-43a9-86da-bf0791735aa4 · outbound

This paper cites (Eds.), Information Systems Development.

Towards a Problem-Oriented Domain Adaptation Framework for Machine Learning (Eds.), Information Systems Development

Reference 2005

Resolution: verified exact; doi, observed 2026-08-10T21:35:08.705223Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation ecf2f838-d373-4afd-b1be-39b7118691ad · outbound

This paper cites volume 22 of Integrated Series in Information Systems.

Towards a Problem-Oriented Domain Adaptation Framework for Machine Learning volume 22 of Integrated Series in Information Systems

Reference 2010

Resolution: verified exact; doi, observed 2026-08-10T21:35:08.734876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation ad1dee4f-2162-4fea-b191-67ee47a341c2 · outbound

This paper cites Domain-Adversarial Neural Networks.

Towards a Problem-Oriented Domain Adaptation Framework for Machine Learning Domain-Adversarial Neural Networks

Reference 2015

Resolution: unresolved; no resolver link, observed 2026-08-10T21:35:08.437243Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2aacf916-85c5-42d4-81d5-ae804cb3c6d4 · outbound

This paper cites an unresolved cited work.

Towards a Problem-Oriented Domain Adaptation Framework for Machine Learning Unresolved cited work

Reference 2016

Resolution: unresolved; no resolver link, observed 2026-08-10T21:35:08.442572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ec8194b8-614f-4a75-a827-cee597def464 · outbound

This paper cites Transactions of the Association for 47 Computational Linguistics 5, 515–528.

Towards a Problem-Oriented Domain Adaptation Framework for Machine Learning Transactions of the Association for 47 Computational Linguistics 5, 515–528

Reference 2017

Resolution: verified exact; doi, observed 2026-08-10T21:35:08.635235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 3f504b66-2b70-4236-84f6-41719ae902d3 · outbound

This paper cites Self-ensembling for visual domain adaptation.

Towards a Problem-Oriented Domain Adaptation Framework for Machine Learning Self-ensembling for visual domain adaptation

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-10T21:35:08.452618Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6847f4b9-f7b3-4d2c-a7ea-ddb2f767359a · outbound

This paper cites an unresolved cited work.

Towards a Problem-Oriented Domain Adaptation Framework for Machine Learning Unresolved cited work

Reference 2019

Resolution: malformed identifier; no resolver link, observed 2026-08-10T21:35:08.496097Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e5420036-6dda-4ce4-80c9-cf46c9321a73 · outbound

This paper cites A Survey of Unsupervised Deep Domain Adaptation.

Towards a Problem-Oriented Domain Adaptation Framework for Machine Learning A Survey of Unsupervised Deep Domain Adaptation

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-10T21:35:08.560744Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 79d69541-60a0-421f-9233-9972ae7d86f5 · outbound

This paper cites IEEE Transactions on Pattern Analysis and Machine Intelligence 43, 766–785.

Towards a Problem-Oriented Domain Adaptation Framework for Machine Learning IEEE Transactions on Pattern Analysis and Machine Intelligence 43, 766–785

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-10T21:35:08.503951Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.