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Paper Citation Record · LEDGER

Personalization of Deep Learning

As of 16 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 1 inbound Pith citation observation for arXiv:1909.02803.

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

pith.paper-citation-record.v1
1909.02803 v3

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T04:42:10.399248Z

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-24T04:30:56.988069Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-24T04:33:53.881276Z

Reference resolution

41 of 41 outbound references displayed

  • verified exact1
  • verified fuzzy34
  • unresolved6
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 19e2399d-5139-4806-858e-246318c48cb1 · outbound

This paper cites What is personalization? perspectives on the design and implementation of personalization in information sys- tems,.

Personalization of Deep Learning What is personalization? perspectives on the design and implementation of personalization in information sys- tems,

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 6cf905b6-1dec-4f0e-88cd-5cac7477fa74 · outbound

This paper cites Explainable Recommendation: A Survey and New Perspectives.

Personalization of Deep Learning Explainable Recommendation: A Survey and New Perspectives

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 785fb42f-3008-4601-bdc2-d6a4902febba · outbound

This paper cites The technology behind personal digital assistants: An overview of the system architecture and key components,.

Personalization of Deep Learning The technology behind personal digital assistants: An overview of the system architecture and key components,

Reference 3

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Source-reported events for the cited work

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Observation 99e6a818-df76-4e96-8ecf-f14b0db31926 · outbound

This paper cites Deep learning in personalization of cardiovascular stents,.

Personalization of Deep Learning Deep learning in personalization of cardiovascular stents,

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation ec29c1a7-88ef-46ab-ad85-4232a7840029 · outbound

This paper cites Machine learning approaches to personalize early prediction of asthma exacerbations,.

Personalization of Deep Learning Machine learning approaches to personalize early prediction of asthma exacerbations,

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 2cd5e7ec-7983-483c-8a05-67247fc60eea · outbound

This paper cites Pgans: Personalized generative adver- sarial networks for ecg synthesis to improve patient-specific deep ecg classification,.

Personalization of Deep Learning Pgans: Personalized generative adver- sarial networks for ecg synthesis to improve patient-specific deep ecg classification,

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation a43d1b8a-b31e-4680-9f1e-91b9433a67e2 · outbound

This paper cites A day of great illumination: B.f. skinner’s discovery of shaping,.

Personalization of Deep Learning A day of great illumination: B.f. skinner’s discovery of shaping,

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 804ffac4-52a4-4d47-8004-e64e5cedc346 · outbound

This paper cites Deep learning of representations for unsupervised and transfer learning,.

Personalization of Deep Learning Deep learning of representations for unsupervised and transfer learning,

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 11fa7ae2-6851-4f02-a7ae-03b88780bd76 · outbound

This paper cites Privacy-preserving deep learning,.

Personalization of Deep Learning Privacy-preserving deep learning,

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 6b219785-8efe-48be-b492-0fcef8b616a9 · outbound

This paper cites Deep learning with differential privacy,.

Personalization of Deep Learning Deep learning with differential privacy,

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 1257ea70-ef50-48be-adb7-0d232096cede · outbound

This paper cites Personalized explanation in machine learning,.

Personalization of Deep Learning Personalized explanation in machine learning,

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation b5442541-70a0-4473-bcab-71b3dfeab2c2 · outbound

This paper cites Fairness in machine learning: Lessons from political phi- losophy,.

Personalization of Deep Learning Fairness in machine learning: Lessons from political phi- losophy,

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 9288ed9a-431f-41c6-830e-bccef7bb22da · outbound

This paper cites Counterfactual fair- ness,.

Personalization of Deep Learning Counterfactual fair- ness,

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation e995dd77-9af3-4388-9ae7-b651f5d77da0 · outbound

This paper cites Fairness through awareness,.

Personalization of Deep Learning Fairness through awareness,

Reference 14

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 8c4dc744-c6ac-4215-9d95-bdac5b49655d · outbound

This paper cites Fairness through computationally-bounded awareness,.

Personalization of Deep Learning Fairness through computationally-bounded awareness,

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 56662072-a9fc-4850-b66b-814357381135 · outbound

This paper cites Overcoming catastrophic forgetting in neural networks,.

Personalization of Deep Learning Overcoming catastrophic forgetting in neural networks,

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation a942ceab-d1d0-4b2b-9e58-b0bc71e86d2a · outbound

This paper cites On the importance of initialization and momentum in deep learning,.

Personalization of Deep Learning On the importance of initialization and momentum in deep learning,

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation f53eb026-9d05-4fbc-9d8a-ca24aad83af6 · outbound

This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

Personalization of Deep Learning Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 18

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 2664f869-9716-4d21-994a-6edcdb0880c6 · outbound

This paper cites Wide & deep learning for recommender systems,.

Personalization of Deep Learning Wide & deep learning for recommender systems,

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation a60e8ffc-2b0d-4a8b-af4b-68bba4c95888 · outbound

This paper cites Reconet: An interpretable neural architecture for recommender sys- tems,.

Personalization of Deep Learning Reconet: An interpretable neural architecture for recommender sys- tems,

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation cd9c616f-793a-41c7-a4e5-7dedd6c46caa · outbound

This paper cites Web mining: Machine learning for web applications,.

Personalization of Deep Learning Web mining: Machine learning for web applications,

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 74143e76-b67d-414a-bd2d-43428081c03f · outbound

This paper cites Power to the people: The role of humans in interactive machine learning,.

Personalization of Deep Learning Power to the people: The role of humans in interactive machine learning,

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation ca120a50-7272-4e2a-b451-d48fa8ee7f3b · outbound

This paper cites Human-to-ai coach: Improving human inputs to ai systems,.

Personalization of Deep Learning Human-to-ai coach: Improving human inputs to ai systems,

Reference 23

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 213e7b07-8273-4006-898f-9f73e8204391 · outbound

This paper cites Per- sonalized multitask learning for predicting tomorrow’s mood, stress, and health,.

Personalization of Deep Learning Per- sonalized multitask learning for predicting tomorrow’s mood, stress, and health,

Reference 24

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 803e9eb4-894f-4f0f-a2a8-7b7a079e9cf2 · outbound

This paper cites Limitations of mass customization,.

Personalization of Deep Learning Limitations of mass customization,

Reference 25

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 3dcdcfce-35dd-450b-ad56-5ff0486c5c33 · outbound

This paper cites Mitchell, J.

Personalization of Deep Learning Mitchell, J

Reference 26

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Source-reported events for the cited work

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Observation 465794a8-9249-465b-bc55-f69efc9d822b · outbound

This paper cites Principles of green data min- ing,.

Personalization of Deep Learning Principles of green data min- ing,

Reference 27

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Source-reported events for the cited work

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Observation 377173d4-c6f2-48e5-ad1c-40430864fb5c · outbound

This paper cites Distributed representations of words and phrases and their composi- tionality,.

Personalization of Deep Learning Distributed representations of words and phrases and their composi- tionality,

Reference 28

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Source-reported events for the cited work

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Observation d1ce9531-93f1-4600-ab45-18b2ebcff311 · outbound

This paper cites Small Sample Learning in Big Data Era.

Personalization of Deep Learning Small Sample Learning in Big Data Era

Reference 29

Resolution
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Source-reported events for the cited work

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Observation feac78b2-23fe-4cba-8683-b1b8510b574c · outbound

This paper cites Transfer Adaptation Learning: A Decade Survey.

Personalization of Deep Learning Transfer Adaptation Learning: A Decade Survey

Reference 30

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Source-reported events for the cited work

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Observation 971522fc-5c7e-41e2-810e-2504cb97a8dc · outbound

This paper cites Curriculum learning,.

Personalization of Deep Learning Curriculum learning,

Reference 31

Resolution
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Source-reported events for the cited work

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Observation 1280a1a3-9b72-4457-91dc-ce687ebc19c6 · outbound

This paper cites Deep multimodal learning: A survey on recent advances and trends,.

Personalization of Deep Learning Deep multimodal learning: A survey on recent advances and trends,

Reference 32

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Source-reported events for the cited work

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Observation 57fe6d8a-4ea1-42c8-8072-aee0f8eb9c41 · outbound

This paper cites Label-free supervision of neural networks with physics and domain knowledge,.

Personalization of Deep Learning Label-free supervision of neural networks with physics and domain knowledge,

Reference 33

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Source-reported events for the cited work

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Observation e089a7e9-f748-4947-be36-a07bd244ed15 · outbound

This paper cites Growing a brain: Fine- tuning by increasing model capacity,.

Personalization of Deep Learning Growing a brain: Fine- tuning by increasing model capacity,

Reference 34

Resolution
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Source-reported events for the cited work

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Observation 399ab483-f6fd-4aa3-bf29-fb5348f48f20 · outbound

This paper cites Correcting sample selection bias by unlabeled data,.

Personalization of Deep Learning Correcting sample selection bias by unlabeled data,

Reference 35

Resolution
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Source-reported events for the cited work

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Observation e15650aa-b03c-40d8-85cc-8bcd4d70a4db · outbound

This paper cites Personalization without user interruption: Boosting activity recognition in new subjects using un- labeled data,.

Personalization of Deep Learning Personalization without user interruption: Boosting activity recognition in new subjects using un- labeled data,

Reference 36

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation f7b828a8-c1e3-495c-8c6b-c8e506a760b7 · outbound

This paper cites Automated curriculum learning for neural networks,.

Personalization of Deep Learning Automated curriculum learning for neural networks,

Reference 37

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raw_fallback, observed 2026-08-14T04:42:11.204036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T04:42:10.324745Z digest=sha256:c804da406d871f339af3aae27f4a90ddfd860e7ce578953525ab79f61833f0e1

Observation cefa16bd-ab27-439c-959d-16ec7419ecdb · outbound

This paper cites Learning by Asking Questions,.

Personalization of Deep Learning Learning by Asking Questions,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:42:11.145046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T04:42:10.343115Z digest=sha256:1213d6d0d41e5c0505bde92b6ff6a3de0beec0df9b617938d050d321eee9ee99

Observation cbfeb551-c517-4b6d-872a-5a7bdfc0a250 · outbound

This paper cites Self-paced learning with diversity,.

Personalization of Deep Learning Self-paced learning with diversity,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:42:11.054754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T04:42:10.373478Z digest=sha256:2306c129cbfaccb2207addd606984d25a8a2cb078535f02b8beb390903cfe922

Observation 6a9cf4d2-effe-44d1-b9de-df7b0c74c6ce · outbound

This paper cites Unsupervised domain adaptation for robust speech recognition via variational autoencoder-based data augmentation,.

Personalization of Deep Learning Unsupervised domain adaptation for robust speech recognition via variational autoencoder-based data augmentation,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:42:10.964877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T04:42:10.389968Z digest=sha256:89ae8531edabcb43b2cecae25d0005fa586b6953f189310791f5859147d439be

Observation 6563d376-de95-48bb-a3a9-d1a47c216941 · outbound

This paper cites Autoencoder-based semi- supervised curriculum learning for out-of-domain speaker verification,.

Personalization of Deep Learning Autoencoder-based semi- supervised curriculum learning for out-of-domain speaker verification,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:42:10.874751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T04:42:10.399248Z digest=sha256:45e14de93b68a362ca3690c8d43a6e92f1cbc6bc4b25c78ca4de7244c6892312

Pith citing papers

Observation 0163f2d4-ca00-49d7-adc1-6d67936d0e39 · inbound

A Scoping Review of Deep Learning Methods for Photoplethysmography Data cites this paper.

A Scoping Review of Deep Learning Methods for Photoplethysmography Data Personalization of Deep Learning

Reference 271

Resolution
verified exact
arxiv_id, observed 2026-05-24T04:33:53.884617Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-24T04:30:56.988069Z digest=sha256:6455004668586e8a936c67cd34684c88a01eb1ea6be6b5645dddb6ec452beb29