Soft Weighted Machine Unlearning | Paper Citation Record

Observation 1a6c7f06-e0a9-4961-9a14-49f8a9ed0e60 · outbound

This paper cites Fast model debias with machine unlearning.

Soft Weighted Machine Unlearning Fast model debias with machine unlearning

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:30:31.365945Z

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Observation 1ab61f9c-4925-4157-904d-5e8cfae1f6c0 · outbound

This paper cites Fair machine unlearning: Data removal while mitigating disparities.

Soft Weighted Machine Unlearning Fair machine unlearning: Data removal while mitigating disparities

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:30:31.114227Z

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Observation abd3f7b3-89c9-4a0c-900b-3947df54c440 · outbound

This paper cites Backdoor defense with machine unlearning.

Soft Weighted Machine Unlearning Backdoor defense with machine unlearning

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:30:30.864180Z

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Observation 4632cb86-419a-447e-bb5d-c7fe91a0a697 · outbound

This paper cites Recommendation unlearning via influence function.ACM Transactions on Recommender Systems, 2023.

Soft Weighted Machine Unlearning Recommendation unlearning via influence function.ACM Transactions on Recommender Systems, 2023

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:30:30.684290Z

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Observation 9ce049da-d74d-4a87-a90a-d514150ddafa · outbound

This paper cites Delta- influence: Unlearning poisons via influence functions.arXiv preprint arXiv:2411.13731, 2024.

Soft Weighted Machine Unlearning Delta- influence: Unlearning poisons via influence functions.arXiv preprint arXiv:2411.13731, 2024

Reference 5

Resolution: verified exact; raw_fallback, observed 2026-08-07T14:30:26.184519Z

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Observation 3215561f-cc2a-474f-9bab-ff6c71a51c7c · outbound

This paper cites Machine unlearning in learned databases: An experimental analysis.Proceedings of the ACM on Management of Data, 2(1):1–26, 2024.

Soft Weighted Machine Unlearning Machine unlearning in learned databases: An experimental analysis.Proceedings of the ACM on Management of Data, 2(1):1–26, 2024

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:30:30.499442Z

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Observation 3cff057d-e78a-407d-8b91-01a256a3cfb9 · outbound

This paper cites A duty to forget, a right to be assured? exposing vulnerabilities in machine unlearning services.

Soft Weighted Machine Unlearning A duty to forget, a right to be assured? exposing vulnerabilities in machine unlearning services

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:30:30.363449Z

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Observation c5f78742-cbb3-4665-bf3a-bf8a23032262 · outbound

This paper cites Machine unlearning via null space calibration.

Soft Weighted Machine Unlearning Machine unlearning via null space calibration

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:30:30.194419Z

Source-reported events for the cited work

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Observation d9622a44-e125-4b3d-8054-ba7c29855516 · outbound

This paper cites an unresolved cited work.

Soft Weighted Machine Unlearning Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-08-07T14:30:30.017078Z

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Observation 76ec4cbb-f02e-4f80-bc33-ff577fdb880c · outbound

This paper cites an unresolved cited work.

Soft Weighted Machine Unlearning Unresolved cited work

Reference 10

Resolution: unresolved; raw_fallback, observed 2026-08-07T14:30:29.850482Z

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Observation 66d153c8-1b1f-4fb0-93f4-9167f9c066bc · outbound

This paper cites Adversarial robustness of linear models: regularization and dimensionality.

Soft Weighted Machine Unlearning Adversarial robustness of linear models: regularization and dimensionality

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:30:29.713697Z

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Observation afc41230-71ef-4e24-95b9-3055bb0ca55b · outbound

This paper cites Model sparsity can simplify machine unlearning.

Soft Weighted Machine Unlearning Model sparsity can simplify machine unlearning

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:30:29.571760Z

Source-reported events for the cited work

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Observation b66de4df-b64c-45a3-af88-6cffa24cffe5 · outbound

This paper cites Towards un- bounded machine unlearning.

Soft Weighted Machine Unlearning Towards un- bounded machine unlearning

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:30:29.421382Z

Source-reported events for the cited work

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Observation 6160eea2-6c05-42c2-aa63-94f1e15b068d · outbound

This paper cites Towards Adversarial Evaluations for Inexact Machine Unlearning.

Soft Weighted Machine Unlearning Towards Adversarial Evaluations for Inexact Machine Unlearning

Reference 14

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Observation fa348f08-1185-4950-b18a-bd80db6d0461 · outbound

This paper cites Unlearn what you want to forget: Efficient unlearning for llms.

Soft Weighted Machine Unlearning Unlearn what you want to forget: Efficient unlearning for llms

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:30:29.260899Z

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Observation 0f1b6f27-467b-428c-8caa-c1aa50125f7f · outbound

This paper cites Understanding black-box predictions via influence functions.

Soft Weighted Machine Unlearning Understanding black-box predictions via influence functions

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:30:29.107736Z

Source-reported events for the cited work

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Observation 92472f0e-d870-425f-9796-614ad49f1b66 · outbound

This paper cites Calmon, and Himabindu Lakkaraju.

Soft Weighted Machine Unlearning Calmon, and Himabindu Lakkaraju

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:30:28.911608Z

Source-reported events for the cited work

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Observation 699bcf1b-e7b9-406a-b386-e4b6a8cbc718 · outbound

This paper cites Debiasing Machine Unlearning with Counterfactual Examples.

Soft Weighted Machine Unlearning Debiasing Machine Unlearning with Counterfactual Examples

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T14:30:25.260665Z

Source-reported events for the cited work

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Observation bdb7b5f0-a0bf-42f8-8a2d-a208ba668ad6 · outbound

This paper cites Fairness and Robustness in Machine Unlearning.

Soft Weighted Machine Unlearning Fairness and Robustness in Machine Unlearning

Reference 19

Resolution: verified exact; local_arxiv, observed 2026-08-07T14:30:25.942660Z

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Observation 56089120-e4ef-4c38-9a1d-8f95a1d02aa1 · outbound

This paper cites Toward robust unlearning for LLMs.

Soft Weighted Machine Unlearning Toward robust unlearning for LLMs

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:30:28.732782Z

Source-reported events for the cited work

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Observation f6abdbd9-f1d2-4897-81f0-fe8ca9920891 · outbound

This paper cites Robust federated unlearning.

Soft Weighted Machine Unlearning Robust federated unlearning

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:30:28.581036Z

Source-reported events for the cited work

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Observation 6437a9f7-3e5c-48b4-8c08-0db6068b94f4 · outbound

This paper cites Robust federated unlearning.

Soft Weighted Machine Unlearning Robust federated unlearning

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:30:28.381700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 7371b449-01ee-4402-b440-b76533e435ea · outbound

This paper cites Mitigating Social Biases in Language Models through Unlearning.

Soft Weighted Machine Unlearning Mitigating Social Biases in Language Models through Unlearning

Reference 23

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Source-reported events for the cited work

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Observation 70170214-3431-4eb1-84ef-b158313b15fe · outbound

This paper cites AUTE: peer-alignment and self-unlearning boost adversarial robustness for training ensemble models.

Soft Weighted Machine Unlearning AUTE: peer-alignment and self-unlearning boost adversarial robustness for training ensemble models

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:30:28.147496Z

Source-reported events for the cited work

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Observation b2c5dd91-7c26-4c23-8297-6ba15a56bedf · outbound

This paper cites 50 years of test (un)fairness: Lessons for machine learning.

Soft Weighted Machine Unlearning 50 years of test (un)fairness: Lessons for machine learning

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:30:27.946367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation b1a2751e-ee6a-41c6-a9d2-6416ac660c6e · outbound

This paper cites Fairness in machine learning: A survey.ACM Comput.

Soft Weighted Machine Unlearning Fairness in machine learning: A survey.ACM Comput

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:30:27.705943Z

Source-reported events for the cited work

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Observation 1be956bf-2bf3-41b3-b410-f039c5e14864 · outbound

This paper cites Fair prediction with disparate impact: A study of bias in recidivism prediction instruments.Big Data, 5(2):153–163, 2017.

Soft Weighted Machine Unlearning Fair prediction with disparate impact: A study of bias in recidivism prediction instruments.Big Data, 5(2):153–163, 2017

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:30:27.583738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 53b39218-1676-4d8a-b5f6-f2695773ef43 · outbound

This paper cites Algorithmic fairness.

Soft Weighted Machine Unlearning Algorithmic fairness

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:30:27.393181Z

Source-reported events for the cited work

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Observation d20682ca-77e4-41ed-812a-c5b14dd624ca · outbound

This paper cites Equality of opportunity in supervised learning.

Soft Weighted Machine Unlearning Equality of opportunity in supervised learning

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:30:27.261229Z

Source-reported events for the cited work

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Observation f5d967a3-d12f-4c90-926b-667dabe94a19 · outbound

This paper cites what data benefits my classifier?.

Soft Weighted Machine Unlearning what data benefits my classifier?

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:30:27.112878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation e7016a6d-ea2d-4fe5-bb54-44e66c646ed1 · outbound

This paper cites Robust physical-world attacks on deep learning visual classification.

Soft Weighted Machine Unlearning Robust physical-world attacks on deep learning visual classification

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:30:26.994074Z

Source-reported events for the cited work

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Observation 7b5efb8e-9d9f-4413-af3b-f9393557e51d · outbound

This paper cites It is all about data: A survey on the effects of data on adversarial robustness.ACM Comput.

Soft Weighted Machine Unlearning It is all about data: A survey on the effects of data on adversarial robustness.ACM Comput

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:30:26.862684Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation af009cdb-7da9-487c-b7db-ec8a6a7cd4c3 · outbound

This paper cites Goodfellow, Jonathon Shlens, and Christian Szegedy.

Soft Weighted Machine Unlearning Goodfellow, Jonathon Shlens, and Christian Szegedy

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:30:26.748837Z

Source-reported events for the cited work

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Observation ba84dbeb-a4e1-452d-bb33-533f01732fc1 · outbound

This paper cites Towards deep learning models resistant to adversarial attacks.

Soft Weighted Machine Unlearning Towards deep learning models resistant to adversarial attacks

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:30:26.670123Z

Source-reported events for the cited work

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Observation 9793efc9-e9a4-4e85-b7cf-24a5f1b48b8c · outbound

This paper cites Hannun, and Laurens van der Maaten.

Soft Weighted Machine Unlearning Hannun, and Laurens van der Maaten

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:30:26.633859Z

Source-reported events for the cited work

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Observation 445ac609-6766-4e70-b246-447c9a87e155 · outbound

This paper cites Towards certified unlearning for deep neural networks.

Soft Weighted Machine Unlearning Towards certified unlearning for deep neural networks

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:30:26.610331Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 499379bd-dde6-45bb-b383-5bfa7c3fab8a · outbound

This paper cites Hessian-Free Online Certified Unlearning.

Soft Weighted Machine Unlearning Hessian-Free Online Certified Unlearning

Reference 37

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Observation 7b8daa86-f0f9-4b87-aef6-29c16ad7d7d1 · outbound

This paper cites Gurobi Optimizer Reference Manual, 2024.

Soft Weighted Machine Unlearning Gurobi Optimizer Reference Manual, 2024

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:30:26.585688Z

Source-reported events for the cited work

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Observation 1911cf07-09f3-4e56-bba6-6bb937d1be85 · outbound

This paper cites Knowledge unlearning for mitigating privacy risks in language models.

Soft Weighted Machine Unlearning Knowledge unlearning for mitigating privacy risks in language models

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:30:26.559606Z

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Observation a02f7ae3-fd98-42d0-9a2d-e4db4ee99513 · outbound

This paper cites Large Language Model Unlearning.

Soft Weighted Machine Unlearning Large Language Model Unlearning

Reference 40

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Observation 96898ebc-bde5-4a9a-95a7-103e2aaf5c8e · outbound

This paper cites Negative Preference Optimization: From Catastrophic Collapse to Effective Unlearning.

Soft Weighted Machine Unlearning Negative Preference Optimization: From Catastrophic Collapse to Effective Unlearning

Reference 41

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Observation e6eaa1c1-ff2c-4be3-a72c-bb572be8c9c0 · outbound

This paper cites Eternal sunshine of the spotless net: Selective forgetting in deep networks.

Soft Weighted Machine Unlearning Eternal sunshine of the spotless net: Selective forgetting in deep networks

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:30:26.537465Z

Source-reported events for the cited work

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Observation 0566eab4-bca5-43e8-9859-afb4e2db4531 · outbound

This paper cites A data-driven approach to predict the success of bank telemarketing.Decis.

Soft Weighted Machine Unlearning A data-driven approach to predict the success of bank telemarketing.Decis

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:30:26.515056Z

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Observation 8fa7d60f-95e6-496e-8ef3-e4b6fe79a839 · outbound

This paper cites Deep learning face attributes in the wild.

Soft Weighted Machine Unlearning Deep learning face attributes in the wild

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:30:26.482978Z

Source-reported events for the cited work

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Observation bf1ef5cc-1e4b-4f31-9a9c-1d8ff657a24b · outbound

This paper cites Machine Learning Suites for Online Toxicity Detection.

Soft Weighted Machine Unlearning Machine Learning Suites for Online Toxicity Detection

Reference 45

Resolution: verified exact; local_arxiv, observed 2026-08-07T14:30:25.764010Z

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Observation ee29b3eb-7a5f-4e12-8357-574958d81039 · outbound

This paper cites Learning multiple layers of features from tiny images.(2009), 2009.

Soft Weighted Machine Unlearning Learning multiple layers of features from tiny images.(2009), 2009

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:30:26.458695Z

Source-reported events for the cited work

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Observation 298f3af4-4bbd-471a-bf90-6ecce7fcabe7 · outbound

This paper cites MUSE: Machine Unlearning Six-Way Evaluation for Language Models.

Soft Weighted Machine Unlearning MUSE: Machine Unlearning Six-Way Evaluation for Language Models

Reference 47

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Observation 76a0d4d4-6bbb-4737-998d-0d80d1df21c3 · outbound

This paper cites Forgetting outside the box: Scrubbing deep networks of information accessible from input-output observations.

Soft Weighted Machine Unlearning Forgetting outside the box: Scrubbing deep networks of information accessible from input-output observations

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:30:26.422285Z

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Observation 4ee300ae-86b5-43d1-be12-1b9b4793eed1 · outbound

This paper cites Chundawat, Ayush K.

Soft Weighted Machine Unlearning Chundawat, Ayush K

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:30:26.398337Z

Source-reported events for the cited work

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Observation 3990a1bd-1537-4156-a732-7f54593ffa0d · outbound

This paper cites Deep residual learning for image recognition.

Soft Weighted Machine Unlearning Deep residual learning for image recognition

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:30:26.373779Z

Source-reported events for the cited work

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Observation 7016279e-c923-4276-99f7-2f88db0015a5 · outbound

This paper cites What neural networks memorize and why: Discovering the long tail via influence estimation.

Soft Weighted Machine Unlearning What neural networks memorize and why: Discovering the long tail via influence estimation

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:30:26.349699Z

Source-reported events for the cited work

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Observation 76275960-c8e5-4e25-be0f-5db965999c4b · outbound

This paper cites SOUL: unlocking the power of second-order optimization for LLM unlearning.

Soft Weighted Machine Unlearning SOUL: unlocking the power of second-order optimization for LLM unlearning

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:30:26.325970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation bebf44eb-9d5c-41cf-a09f-b65d60decd0c · outbound

This paper cites Correcting large language model behavior via influence function, 2024.

Soft Weighted Machine Unlearning Correcting large language model behavior via influence function, 2024

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:30:26.302555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 81f91ea7-7bd6-4ea2-8bd7-72c0ae21715e · outbound

This paper cites The proof and measurement of association between two things.

Soft Weighted Machine Unlearning The proof and measurement of association between two things

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:30:26.276432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 97d37171-910e-4c13-9c65-b75d250a9801 · outbound

This paper cites Correlation and causation.Journal of agricultural research, 20(7):557–585,.

Soft Weighted Machine Unlearning Correlation and causation.Journal of agricultural research, 20(7):557–585,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:30:26.243700Z

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Observation 58e302ac-8ef8-492f-94c3-a7a0b2f3a18a · outbound

This paper cites 15 A.2 Analytical Solution of Problem 6.

Soft Weighted Machine Unlearning 15 A.2 Analytical Solution of Problem 6

Reference 1921

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:30:26.214379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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