Paper Citation Record · LEDGER

Data and System Perspectives of Sustainable Artificial Intelligence

As of 22 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 1 inbound Pith citation observation for arXiv:2501.07487.

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

pith.paper-citation-record.v1
2501.07487 v1

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:42:34.613903Z

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:08:12.066826Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-16T12:16:17.039197Z

Reference resolution

34 of 34 outbound references displayed

verified exact0
verified fuzzy32
unresolved2
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f2410daa-1ef6-472d-9be1-a677624c5602 · outbound

This paper cites Energy and policy considerations for deep learning in nlp.

Data and System Perspectives of Sustainable Artificial Intelligence Energy and policy considerations for deep learning in nlp

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:42:35.271831Z

Source-reported events for the cited work

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Observation 343bb21f-7771-4a52-9719-4ad839f905cd · outbound

This paper cites Gender shades: Intersec- tional accuracy disparities in commercial gender classiﬁcation.

Data and System Perspectives of Sustainable Artificial Intelligence Gender shades: Intersec- tional accuracy disparities in commercial gender classiﬁcation

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:42:35.254875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 8c635015-9a3b-45a6-8e79-cc5178f3053f · outbound

This paper cites Mem- bership inference attacks against machine learning models.

Data and System Perspectives of Sustainable Artificial Intelligence Mem- bership inference attacks against machine learning models

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:42:35.237047Z

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Observation 60e237ca-0b06-4479-a980-8187ff1a582f · outbound

This paper cites Mining non-textual data for deep learning models.

Data and System Perspectives of Sustainable Artificial Intelligence Mining non-textual data for deep learning models

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:42:35.218803Z

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Observation be7187c8-56eb-4ddb-9196-202bac327253 · outbound

This paper cites Robust de- anonymization of large sparse datasets.

Data and System Perspectives of Sustainable Artificial Intelligence Robust de- anonymization of large sparse datasets

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:42:35.198897Z

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Observation aeaad7d1-9009-4109-ac4f-401b244bf0e2 · outbound

This paper cites Truth inference in crowdsourcing: Is the problem solved? Proceedings of the VLDB Endowment , 2017, 10(5):541–552.

Data and System Perspectives of Sustainable Artificial Intelligence Truth inference in crowdsourcing: Is the problem solved? Proceedings of the VLDB Endowment , 2017, 10(5):541–552

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:42:35.181322Z

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Observation 302dc890-aa2a-47fd-be9c-61d70b6aeae5 · outbound

This paper cites An iterative and re- weighting framework for rejection and uncertainty resolution in crowdsourcing.

Data and System Perspectives of Sustainable Artificial Intelligence An iterative and re- weighting framework for rejection and uncertainty resolution in crowdsourcing

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:42:35.163672Z

Source-reported events for the cited work

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Observation c705acde-69e1-477c-9b03-84e4bb4b0153 · outbound

This paper cites In- ternet of things (iot): A vision, architectural ele- ments, and future directions.

Data and System Perspectives of Sustainable Artificial Intelligence In- ternet of things (iot): A vision, architectural ele- ments, and future directions

Reference 8

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Source-reported events for the cited work

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Observation 1b0b28a3-3742-474a-a5e7-f864fd9ac3c4 · outbound

This paper cites Ethereum: A Secure Decentralized Gen- eralized Transaction Ledger.

Data and System Perspectives of Sustainable Artificial Intelligence Ethereum: A Secure Decentralized Gen- eralized Transaction Ledger

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:42:35.126210Z

Source-reported events for the cited work

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Observation a5f151d2-28d2-4c8d-aa10-0dbfbf8862f6 · outbound

This paper cites Synthetic data genera- tion for privacy-preserving machine learning.

Data and System Perspectives of Sustainable Artificial Intelligence Synthetic data genera- tion for privacy-preserving machine learning

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation c990e023-61c0-4400-a730-6a7c7b12b8b6 · outbound

This paper cites Waymo’s approach to self-driving car de- velopment.

Data and System Perspectives of Sustainable Artificial Intelligence Waymo’s approach to self-driving car de- velopment

Reference 11

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Source-reported events for the cited work

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Observation 037a2a84-dd8d-4c06-ba49-592d48d0613a · outbound

This paper cites Communication-eﬃcient learning of deep net- works from decentralized data.

Data and System Perspectives of Sustainable Artificial Intelligence Communication-eﬃcient learning of deep net- works from decentralized data

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation bfe31a41-aba3-4c2a-b5be-d4b3a2b3e304 · outbound

This paper cites Diﬀerential privacy.

Data and System Perspectives of Sustainable Artificial Intelligence Diﬀerential privacy

Reference 13

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Source-reported events for the cited work

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Observation 309b8d25-b70c-4792-ac1a-afcf4a68e6e9 · outbound

This paper cites The international data spaces initiative: A blueprint for secure data sharing.

Data and System Perspectives of Sustainable Artificial Intelligence The international data spaces initiative: A blueprint for secure data sharing

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:42:35.037164Z

Source-reported events for the cited work

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Observation e262f719-1b7e-4bf3-9fa5-049edc640e14 · outbound

This paper cites The healthdataspace project: En- abling secure cross-border health data sharing for ai applications.

Data and System Perspectives of Sustainable Artificial Intelligence The healthdataspace project: En- abling secure cross-border health data sharing for ai applications

Reference 15

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Source-reported events for the cited work

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Observation c4445ecf-b159-4547-bef5-b2385d3e05a2 · outbound

This paper cites Ai for environmental monitor- ing: Applications and challenges.

Data and System Perspectives of Sustainable Artificial Intelligence Ai for environmental monitor- ing: Applications and challenges

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:42:34.997875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 155168aa-2012-47ef-9144-1f728be039d8 · outbound

This paper cites Eﬃcient fully homomorphic encryption from (standard) lwe.

Data and System Perspectives of Sustainable Artificial Intelligence Eﬃcient fully homomorphic encryption from (standard) lwe

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:42:34.977898Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 23648284-733c-47fa-91e2-812d93bb24ba · outbound

This paper cites Homomorphic encryption for privacy-preserving machine learning: A survey.

Data and System Perspectives of Sustainable Artificial Intelligence Homomorphic encryption for privacy-preserving machine learning: A survey

Reference 18

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Source-reported events for the cited work

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Observation 29b0ab78-3b5d-4978-bb4d-f8107339af29 · outbound

This paper cites Privacy, surveillance, and public trust.

Data and System Perspectives of Sustainable Artificial Intelligence Privacy, surveillance, and public trust

Reference 19

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Source-reported events for the cited work

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Observation 6c3a2bf3-50bd-4c29-a68d-76a0bded0279 · outbound

This paper cites The standardization of non-textual data for ai systems: Challenges and opportunities.

Data and System Perspectives of Sustainable Artificial Intelligence The standardization of non-textual data for ai systems: Challenges and opportunities

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:42:34.921354Z

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Observation fe9b948b-2062-431d-962e-fd623dd99624 · outbound

This paper cites A survey of sustain- able ai scalability techniques.

Data and System Perspectives of Sustainable Artificial Intelligence A survey of sustain- able ai scalability techniques

Reference 21

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Observation 5a20fb4e-3cfc-4035-82f7-70d0d78a2eb8 · outbound

This paper cites Data clean- ing: Overview and emerging challenges.

Data and System Perspectives of Sustainable Artificial Intelligence Data clean- ing: Overview and emerging challenges

Reference 22

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Observation 0b9c8a37-324c-460e-a2b7-a04fc4219dd6 · outbound

This paper cites Data management in machine learning: Challenges, techniques, and systems.

Data and System Perspectives of Sustainable Artificial Intelligence Data management in machine learning: Challenges, techniques, and systems

Reference 23

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Observation 9107382f-faf9-43e5-9670-d290dca96c3f · outbound

This paper cites Learning from imbalanced data.

Data and System Perspectives of Sustainable Artificial Intelligence Learning from imbalanced data

Reference 24

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Observation 279636f2-76c5-4ba1-9ea0-5b6d5d075bbd · outbound

This paper cites In defense of core-set: A density- aware core-set selection for active learning.

Data and System Perspectives of Sustainable Artificial Intelligence In defense of core-set: A density- aware core-set selection for active learning

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:42:34.830352Z

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Observation b9c8cf02-379d-4f97-8843-af9c8929dae2 · outbound

This paper cites A survey of data aug- mentation approaches for nlp.

Data and System Perspectives of Sustainable Artificial Intelligence A survey of data aug- mentation approaches for nlp

Reference 26

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Observation fc90dc97-af6f-4885-902c-b1bc3ce7be38 · outbound

This paper cites AlphaClean: Automatic Generation of Data Cleaning Pipelines.

Data and System Perspectives of Sustainable Artificial Intelligence AlphaClean: Automatic Generation of Data Cleaning Pipelines

Reference 27

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This paper cites Log-based anomaly detection with deep learning: How far are we? In Proceed- ings of the 44th international conference on soft- ware engineering, 2022, pp.

Data and System Perspectives of Sustainable Artificial Intelligence Log-based anomaly detection with deep learning: How far are we? In Proceed- ings of the 44th international conference on soft- ware engineering, 2022, pp

Reference 28

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Observation bc6beba8-025e-496a-bcca-0807b7da0306 · outbound

This paper cites Using openreﬁne.

Data and System Perspectives of Sustainable Artificial Intelligence Using openreﬁne

Reference 29

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Observation 75477231-5e67-4e75-9348-3d7d87f41f5e · outbound

This paper cites Deep feature syn- thesis: Towards automating data science endeav- ors.

Data and System Perspectives of Sustainable Artificial Intelligence Deep feature syn- thesis: Towards automating data science endeav- ors

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:42:34.755388Z

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Observation 56028636-1e30-4db9-a546-f2a9a1beb46c · outbound

This paper cites Smote: synthetic minority over-sampling technique.

Data and System Perspectives of Sustainable Artificial Intelligence Smote: synthetic minority over-sampling technique

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:42:34.736485Z

Source-reported events for the cited work

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Observation cc6b26c1-520f-45d8-97ca-b8f677209c84 · outbound

This paper cites Training cost-sensitive neural networks with methods addressing the class imbal- ance problem.

Data and System Perspectives of Sustainable Artificial Intelligence Training cost-sensitive neural networks with methods addressing the class imbal- ance problem

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:42:34.718711Z

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Observation 8743b897-2515-40be-be4b-2659019f94a5 · outbound

This paper cites Active Learning for Convolutional Neural Networks: A Core-Set Approach.

Data and System Perspectives of Sustainable Artificial Intelligence Active Learning for Convolutional Neural Networks: A Core-Set Approach

Reference 33

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Observation 70987059-3355-4b88-afdd-29514805bc96 · outbound

This paper cites Autoaugment: Learning augmenta- tion strategies from data.

Data and System Perspectives of Sustainable Artificial Intelligence Autoaugment: Learning augmenta- tion strategies from data

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:42:34.698951Z

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Pith citing papers

Observation e8988212-e8e1-433f-80ae-323fbf6efeb9 · inbound

StoryBench: A Dynamic Benchmark for Evaluating Long-Term Memory with Multi Turns cites this paper.

StoryBench: A Dynamic Benchmark for Evaluating Long-Term Memory with Multi Turns Data and System Perspectives of Sustainable Artificial Intelligence

Reference 43

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Source-reported events for the cited work

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