The Space Complexity of Learning-Unlearning Algorithms | Paper Citation Record

Observation adf816d7-3a85-42fd-aff8-86b2b9b2bae2 · outbound

This paper cites The space complexity of approximating the frequency moments.

The Space Complexity of Learning-Unlearning Algorithms The space complexity of approximating the frequency moments

Reference 1

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Observation fc7b0f37-9ff0-48b2-9e1f-4131e471dca2 · outbound

This paper cites History-Independent Concurrent Objects.

The Space Complexity of Learning-Unlearning Algorithms History-Independent Concurrent Objects

Reference 2

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Observation c11f315b-c1e2-4fd5-a3be-005fff850f47 · outbound

This paper cites Time-space tradeoffs for learning finite functions from random evaluations, with applications to polynomials.

The Space Complexity of Learning-Unlearning Algorithms Time-space tradeoffs for learning finite functions from random evaluations, with applications to polynomials

Reference 3

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Observation 916eb486-f477-410a-82b4-011b92a79840 · outbound

This paper cites Leace: Perfect linear concept erasure in closed form.

The Space Complexity of Learning-Unlearning Algorithms Leace: Perfect linear concept erasure in closed form

Reference 4

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Observation 9628adbf-5935-46a6-8702-7517465973c8 · outbound

This paper cites History-independent dynamic partitioning: Operation-order privacy in ordered data structures.

The Space Complexity of Learning-Unlearning Algorithms History-independent dynamic partitioning: Operation-order privacy in ordered data structures

Reference 5

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Observation 09bfe4b6-ca42-452b-91cc-5620de368d52 · outbound

This paper cites Gradient Descent is Pareto-Optimal in the Oracle Complexity and Memory Tradeoff for Feasibility Problems.

The Space Complexity of Learning-Unlearning Algorithms Gradient Descent is Pareto-Optimal in the Oracle Complexity and Memory Tradeoff for Feasibility Problems

Reference 6

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Observation aa879cbd-95dc-4ff4-9571-06a198661b5f · outbound

This paper cites Strongly history-independent hashing with applications.

The Space Complexity of Learning-Unlearning Algorithms Strongly history-independent hashing with applications

Reference 7

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Observation dcdb9132-8a6b-4330-bbe8-b843d298e2c0 · outbound

This paper cites Machine unlearning.

The Space Complexity of Learning-Unlearning Algorithms Machine unlearning

Reference 8

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Observation d66743b7-c7a5-4448-aa4b-c8103aa90b40 · outbound

This paper cites Proper learning, helly number, and an optimal svm bound.

The Space Complexity of Learning-Unlearning Algorithms Proper learning, helly number, and an optimal svm bound

Reference 9

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Observation 8fea8acf-2366-46f7-817f-12aa8aac17e3 · outbound

This paper cites Proper learning, helly number, and an optimal SVM bound.

The Space Complexity of Learning-Unlearning Algorithms Proper learning, helly number, and an optimal SVM bound

Reference 10

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Observation f3067376-9ca0-46be-b672-9977793e8bc9 · outbound

This paper cites Convex Set Disjointness, Distributed Learning of Halfspaces, and LP Feasibility.

The Space Complexity of Learning-Unlearning Algorithms Convex Set Disjointness, Distributed Learning of Halfspaces, and LP Feasibility

Reference 11

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Observation 064f5973-1a0d-493c-a5a6-3de58a685294 · outbound

This paper cites Machine unlearning for random forests.

The Space Complexity of Learning-Unlearning Algorithms Machine unlearning for random forests

Reference 12

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Observation 1b8f89e2-6397-4ed4-997e-85a43128418e · outbound

This paper cites Lower and upper bounds on obtaining history independence.

The Space Complexity of Learning-Unlearning Algorithms Lower and upper bounds on obtaining history independence

Reference 13

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Observation a855d14e-c947-4246-84d3-75f3d7a1c40a · outbound

This paper cites Towards making systems forget with machine unlearning.

The Space Complexity of Learning-Unlearning Algorithms Towards making systems forget with machine unlearning

Reference 14

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Observation 4b9b3d0c-4e8d-47a8-bfa9-a511139599ec · outbound

This paper cites Membership inference attacks from first principles.

The Space Complexity of Learning-Unlearning Algorithms Membership inference attacks from first principles

Reference 15

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Observation 2af37432-feb2-4ae7-87b0-a26ccfaafb84 · outbound

This paper cites Extracting Training Data from Diffusion Models.

The Space Complexity of Learning-Unlearning Algorithms Extracting Training Data from Diffusion Models

Reference 16

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Observation e8065d20-519b-44ed-b194-7cc83326c3f1 · outbound

This paper cites Quantifying memorization across neural language models.

The Space Complexity of Learning-Unlearning Algorithms Quantifying memorization across neural language models

Reference 17

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Observation 884d6421-2691-4fa5-9f5b-457f86a739e0 · outbound

This paper cites Incremental and decremental support vector machine learning.

The Space Complexity of Learning-Unlearning Algorithms Incremental and decremental support vector machine learning

Reference 18

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Observation 53382161-7a9b-4cf0-9ccf-7024648220a0 · outbound

This paper cites California consumer privacy act (ccpa).

The Space Complexity of Learning-Unlearning Algorithms California consumer privacy act (ccpa)

Reference 19

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Observation 751386d4-d4c5-4f27-b49d-a4815b0fe56e · outbound

This paper cites Langevin unlearning: A new perspective of noisy gradient descent for machine unlearning.

The Space Complexity of Learning-Unlearning Algorithms Langevin unlearning: A new perspective of noisy gradient descent for machine unlearning

Reference 20

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Observation 1e31f86b-4f0b-43dd-9eae-622e48248734 · outbound

This paper cites Forget unlearning: Towards true data-deletion in machine learning.

The Space Complexity of Learning-Unlearning Algorithms Forget unlearning: Towards true data-deletion in machine learning

Reference 21

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Observation b7c79541-b00e-4421-8276-dc1b21b3c9c0 · outbound

This paper cites Towards formalizing the gdpr’s notion of singling out.

The Space Complexity of Learning-Unlearning Algorithms Towards formalizing the gdpr’s notion of singling out

Reference 22

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Observation 316c96d9-9f4f-4ba4-98b0-5a52f43cf764 · outbound

This paper cites Control, confidentiality, and the right to be forgotten.

The Space Complexity of Learning-Unlearning Algorithms Control, confidentiality, and the right to be forgotten

Reference 23

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Observation 7eb3523c-944e-4e4a-ab53-e0cf4c6e8084 · outbound

This paper cites Characterizations of an empirical influence function for detecting influential cases in regression.

The Space Complexity of Learning-Unlearning Algorithms Characterizations of an empirical influence function for detecting influential cases in regression

Reference 24

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Observation 66bdea04-19c9-46ce-b5c2-72d1d5b6f6ba · outbound

This paper cites The two-armed-bandit problem with time-invariant finite memory.

The Space Complexity of Learning-Unlearning Algorithms The two-armed-bandit problem with time-invariant finite memory

Reference 25

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Observation 149f722f-26df-42b5-ac9a-e36f5f428b7e · outbound

This paper cites Hypothesis testing with finite statistics.

The Space Complexity of Learning-Unlearning Algorithms Hypothesis testing with finite statistics

Reference 26

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Observation 354bb9c2-425e-43d8-b8a1-81ee3295034d · outbound

This paper cites Optimal finite memory learning algorithms for the finite sample problem.

The Space Complexity of Learning-Unlearning Algorithms Optimal finite memory learning algorithms for the finite sample problem

Reference 27

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Observation a7ecf9b9-1744-48f2-a3d4-c28a10a552b1 · outbound

This paper cites Lifelong anomaly detection through unlearning.

The Space Complexity of Learning-Unlearning Algorithms Lifelong anomaly detection through unlearning

Reference 28

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Observation 147fadf0-0cd5-4551-a412-04c785d82443 · outbound

This paper cites SAFE: Machine Unlearning With Shard Graphs.

The Space Complexity of Learning-Unlearning Algorithms SAFE: Machine Unlearning With Shard Graphs

Reference 29

Resolution: verified exact; local_arxiv, observed 2026-08-07T00:53:53.977126Z

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Observation 957f2fc1-ec27-4b4a-bf97-edb2c6dcc8ab · outbound

This paper cites Calibrating noise to sensitivity in private data analysis.

The Space Complexity of Learning-Unlearning Algorithms Calibrating noise to sensitivity in private data analysis

Reference 30

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Observation b0fc417b-67c0-4447-b087-13730e32123c · outbound

This paper cites Verifiable and Provably Secure Machine Unlearning.

The Space Complexity of Learning-Unlearning Algorithms Verifiable and Provably Secure Machine Unlearning

Reference 31

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Observation 82d4e55e-244e-43d7-8d1e-c796e9b45492 · outbound

This paper cites Active learning via perfect selective classification.

The Space Complexity of Learning-Unlearning Algorithms Active learning via perfect selective classification

Reference 32

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Observation 100061fb-65ed-44a4-9860-7cba925b9b62 · outbound

This paper cites On the foundations of noise-free selective classification.

The Space Complexity of Learning-Unlearning Algorithms On the foundations of noise-free selective classification

Reference 33

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Observation aa0ba5a9-6e66-4982-a548-b54f0c95ec7c · outbound

This paper cites Who's Harry Potter? Approximate Unlearning in LLMs.

The Space Complexity of Learning-Unlearning Algorithms Who's Harry Potter? Approximate Unlearning in LLMs

Reference 34

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Observation bd66749f-631b-4936-97fd-c825ac11eeee · outbound

This paper cites Probabilistic counting algorithms for data base applications.

The Space Complexity of Learning-Unlearning Algorithms Probabilistic counting algorithms for data base applications

Reference 35

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Observation cb3e22c5-799c-4ba8-b541-d3fc6b7edad2 · outbound

This paper cites Sample compression, learnability, and the vapnik-chervonenkis dimension.

The Space Complexity of Learning-Unlearning Algorithms Sample compression, learnability, and the vapnik-chervonenkis dimension

Reference 36

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Observation ff6052cb-a969-4f24-8fb9-5fd0768fc5c4 · outbound

This paper cites Formalizing data deletion in the context of the right to be forgotten.

The Space Complexity of Learning-Unlearning Algorithms Formalizing data deletion in the context of the right to be forgotten

Reference 37

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Observation 8f10e3ea-5a70-4c88-97c2-f7e7fe5c9470 · outbound

This paper cites Extractor-based time-space lower bounds for learning.

The Space Complexity of Learning-Unlearning Algorithms Extractor-based time-space lower bounds for learning

Reference 38

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Observation 073adce5-b0f4-4394-b652-8b1a8b1fc829 · outbound

This paper cites Regulation (EU) 2016/679 of the European parliament and of the council of 27 April 2016.

The Space Complexity of Learning-Unlearning Algorithms Regulation (EU) 2016/679 of the European parliament and of the council of 27 April 2016

Reference 39

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Observation b0d6a0e0-4bcd-4942-807d-99241fd13e49 · outbound

This paper cites Ticketed learning-unlearning schemes, 2023.

The Space Complexity of Learning-Unlearning Algorithms Ticketed learning-unlearning schemes, 2023

Reference 40

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Observation 79d56218-dc0a-449e-96f7-3214aad97467 · outbound

This paper cites Making AI forget you: Data deletion in machine learning.

The Space Complexity of Learning-Unlearning Algorithms Making AI forget you: Data deletion in machine learning

Reference 41

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Observation b21eddd2-40ef-4196-b51c-cb04a12c9008 · outbound

This paper cites Deletion-compliance in the absence of privacy.

The Space Complexity of Learning-Unlearning Algorithms Deletion-compliance in the absence of privacy

Reference 42

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Observation eb2a5d9c-bf22-4beb-a556-ab72719c5d11 · outbound

This paper cites Towards Adversarial Evaluations for Inexact Machine Unlearning.

The Space Complexity of Learning-Unlearning Algorithms Towards Adversarial Evaluations for Inexact Machine Unlearning

Reference 43

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Observation 3c323d82-1ed6-4984-95e4-859139f4e62a · outbound

This paper cites Corrective Machine Unlearning.

The Space Complexity of Learning-Unlearning Algorithms Corrective Machine Unlearning

Reference 44

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Observation 9cd13c39-26dc-4368-af6e-271e295d560e · outbound

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

The Space Complexity of Learning-Unlearning Algorithms Eternal sunshine of the spotless net: Selective forgetting in deep networks

Reference 45

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Observation d3068d8f-f7d5-4cec-ae0d-6b699d7deb6f · outbound

This paper cites Forgetting Outside the Box: Scrubbing Deep Networks of Information Accessible from Input-Output Observations.

The Space Complexity of Learning-Unlearning Algorithms Forgetting Outside the Box: Scrubbing Deep Networks of Information Accessible from Input-Output Observations

Reference 46

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Observation 3081f71e-2713-483d-b686-a6fa6a5985f4 · outbound

This paper cites Mixed-privacy forgetting in deep networks.

The Space Complexity of Learning-Unlearning Algorithms Mixed-privacy forgetting in deep networks

Reference 47

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Observation a1bef77d-4521-4df1-811b-c35da4a1b36a · outbound

This paper cites Amnesiac machine learning.

The Space Complexity of Learning-Unlearning Algorithms Amnesiac machine learning

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:54:02.507112Z

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Observation d2aa1868-193d-47b1-a617-0063c4ebd4bb · outbound

This paper cites Certified data removal from machine learning models.

The Space Complexity of Learning-Unlearning Algorithms Certified data removal from machine learning models

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:54:02.361740Z

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Observation 73a945f4-2a83-44a2-a902-0ab53de78266 · outbound

This paper cites Adaptive machine unlearning.

The Space Complexity of Learning-Unlearning Algorithms Adaptive machine unlearning

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:54:02.193202Z

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Observation 7a20a3d0-0819-450b-b503-0ba366c9e495 · outbound

This paper cites Theoretical foundations of active learning.

The Space Complexity of Learning-Unlearning Algorithms Theoretical foundations of active learning

Reference 51

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Observation f15472b4-5d7d-42b0-8d8a-35a922fe11ab · outbound

This paper cites The star number and eluder dimension: Elementary observations about the dimensions of disagreement.

The Space Complexity of Learning-Unlearning Algorithms The star number and eluder dimension: Elementary observations about the dimensions of disagreement

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:54:01.919500Z

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Observation 8c3b88a1-0e69-43d6-b14a-134ed3a5cde3 · outbound

This paper cites Minimax analysis of active learning.

The Space Complexity of Learning-Unlearning Algorithms Minimax analysis of active learning

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:54:01.747057Z

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Observation 498da90f-5cae-4ae5-b838-8b9f477929f4 · outbound

This paper cites Characterizing history independent data structures.

The Space Complexity of Learning-Unlearning Algorithms Characterizing history independent data structures

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:54:01.599003Z

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Observation 4e2eff0c-97d7-4c01-8694-5d4118134ee9 · outbound

This paper cites Learning with finite memory.

The Space Complexity of Learning-Unlearning Algorithms Learning with finite memory

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:54:01.474481Z

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 b148207e-e347-4b2e-989b-eeb2235b4097 · outbound

This paper cites Tight Bounds for Machine Unlearning via Differential Privacy.

The Space Complexity of Learning-Unlearning Algorithms Tight Bounds for Machine Unlearning via Differential Privacy

Reference 56

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Observation 5fbd1d25-49fa-4b91-b060-83ad70069541 · outbound

This paper cites Preventing Verbatim Memorization in Language Models Gives a False Sense of Privacy.

The Space Complexity of Learning-Unlearning Algorithms Preventing Verbatim Memorization in Language Models Gives a False Sense of Privacy

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-07T00:53:49.442234Z

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Observation 735832ed-473e-4ac6-9b4b-f35b64d237cf · outbound

This paper cites Approximate data deletion from machine learning models.

The Space Complexity of Learning-Unlearning Algorithms Approximate data deletion from machine learning models

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:54:01.354556Z

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Observation 9f2944cc-1ca8-4034-88ab-778843dfb8c2 · outbound

This paper cites Knowledge Unlearning for Mitigating Privacy Risks in Language Models.

The Space Complexity of Learning-Unlearning Algorithms Knowledge Unlearning for Mitigating Privacy Risks in Language Models

Reference 59

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Observation a10c4cf7-1a8a-45b9-918f-61fe27f9c66e · outbound

This paper cites q-Binomial Coefficients and Linear Algebra over Finite Fields, pages 21--26.

The Space Complexity of Learning-Unlearning Algorithms q-Binomial Coefficients and Linear Algebra over Finite Fields, pages 21--26

Reference 60

Resolution: verified exact; doi, observed 2026-08-07T00:53:53.484586Z

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Observation 8fd98fd6-8f2b-48bc-9a7e-8a2e19391755 · outbound

This paper cites Multiple incremental decremental learning of support vector machines.

The Space Complexity of Learning-Unlearning Algorithms Multiple incremental decremental learning of support vector machines

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:54:01.213161Z

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

Observation ab46b3fa-6fe9-4056-b015-6f8828538769 · outbound

This paper cites Time-space hardness of learning sparse parities.

The Space Complexity of Learning-Unlearning Algorithms Time-space hardness of learning sparse parities

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:54:01.055847Z

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 f92b66a8-91d6-4075-a36c-fb667d2435ab · outbound

This paper cites Towards bridging the gaps between the right to explanation and the right to be forgotten.

The Space Complexity of Learning-Unlearning Algorithms Towards bridging the gaps between the right to explanation and the right to be forgotten

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:54:00.925617Z

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 3be89b94-6fd7-4ef5-a3d7-b40e2f1af942 · outbound

This paper cites Towards Unbounded Machine Unlearning.

The Space Complexity of Learning-Unlearning Algorithms Towards Unbounded Machine Unlearning

Reference 64

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Source-reported events for the cited work

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Observation 531e2d42-d223-4006-a71f-212ba7bc34d1 · outbound

This paper cites Understanding the eluder dimension.

The Space Complexity of Learning-Unlearning Algorithms Understanding the eluder dimension

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:54:00.770539Z

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

Observation 32c7dce9-4824-4169-aa52-50bcadb59fdc · outbound

This paper cites Learning quickly when irrelevant attributes abound: A new linear-threshold algorithm.

The Space Complexity of Learning-Unlearning Algorithms Learning quickly when irrelevant attributes abound: A new linear-threshold algorithm

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:54:00.605260Z

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 1edcd1c8-bd95-4be9-ab74-497ddf0eaaaf · outbound

This paper cites Relating data compression and learnability.

The Space Complexity of Learning-Unlearning Algorithms Relating data compression and learnability

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:54:00.431914Z

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 1dfcf09d-0ee2-46e4-abc0-e76ea4498568 · outbound

This paper cites Efficient convex optimization requires superlinear memory.

The Space Complexity of Learning-Unlearning Algorithms Efficient convex optimization requires superlinear memory

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:54:00.277659Z

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 6a32090a-9b80-4fa4-bf6a-acb6f45c5b99 · outbound

This paper cites Graph stream algorithms: a survey.

The Space Complexity of Learning-Unlearning Algorithms Graph stream algorithms: a survey

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:54:00.135990Z

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 0683565e-d463-4fd8-842a-751e68d3b386 · outbound

This paper cites Finding repeated elements.

The Space Complexity of Learning-Unlearning Algorithms Finding repeated elements

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:54:00.025501Z

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 87325784-725d-4335-9cc0-9fb7b401a7da · outbound

This paper cites Sample compression schemes for vc classes.

The Space Complexity of Learning-Unlearning Algorithms Sample compression schemes for vc classes

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:53:59.886028Z

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 e3fe5ba0-2932-4188-a726-0e946f42b570 · outbound

This paper cites Mixing implies lower bounds for space bounded learning.

The Space Complexity of Learning-Unlearning Algorithms Mixing implies lower bounds for space bounded learning

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:53:59.666866Z

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 dbf53f68-194d-4a0b-887e-4f572e755d54 · outbound

This paper cites Entropy samplers and strong generic lower bounds for space bounded learning.

The Space Complexity of Learning-Unlearning Algorithms Entropy samplers and strong generic lower bounds for space bounded learning

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:53:59.371797Z

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 bd5a3d6c-21ac-4d2e-a107-12af7358e728 · outbound

This paper cites On the Sample Complexity of Reinforcement Learning with Policy Space Generalization.

The Space Complexity of Learning-Unlearning Algorithms On the Sample Complexity of Reinforcement Learning with Policy Space Generalization

Reference 74

Resolution: verified exact; local_arxiv, observed 2026-08-07T00:53:53.699191Z

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 9f6d740f-8ef5-4018-8383-c4abab5fdb20 · outbound

This paper cites Selection and sorting with limited storage.

The Space Complexity of Learning-Unlearning Algorithms Selection and sorting with limited storage

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:53:59.091885Z

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 ef104c02-e787-4c65-b2bd-79fc8e3c7a91 · outbound

This paper cites Data streams: Algorithms and applications.

The Space Complexity of Learning-Unlearning Algorithms Data streams: Algorithms and applications

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:53:58.816444Z

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 e47611c1-98d7-497f-b2b3-11af76d875e0 · outbound

This paper cites Anti-persistence: History independent data structures.

The Space Complexity of Learning-Unlearning Algorithms Anti-persistence: History independent data structures

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:53:58.640971Z

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 3718186d-1f41-448b-925c-7fec89b61239 · outbound

This paper cites History-independent cuckoo hashing.

The Space Complexity of Learning-Unlearning Algorithms History-independent cuckoo hashing

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:53:58.438095Z

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 66ab4b3d-0968-4d62-aa70-cbba1bf73131 · outbound

This paper cites Descent-to-delete: Gradient-based methods for machine unlearning.

The Space Complexity of Learning-Unlearning Algorithms Descent-to-delete: Gradient-based methods for machine unlearning

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:53:58.304578Z

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 4e34d3c5-ff52-4abe-8635-dfa2c2659931 · outbound

This paper cites Variational B ayesian unlearning.

The Space Complexity of Learning-Unlearning Algorithms Variational B ayesian unlearning

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:53:58.153293Z

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 a1cf27e8-f4db-41c4-8e6c-ef682a7b303c · outbound

This paper cites A Survey of Machine Unlearning.

The Space Complexity of Learning-Unlearning Algorithms A Survey of Machine Unlearning

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-07T00:53:51.385970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1cb29f7a-c77c-4ace-b6d5-ed89e935059d · outbound

This paper cites In-Context Unlearning: Language Models as Few Shot Unlearners.

The Space Complexity of Learning-Unlearning Algorithms In-Context Unlearning: Language Models as Few Shot Unlearners

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-07T00:53:51.478659Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ff140332-5cba-4437-b51f-a9020ad3fe20 · outbound

This paper cites Machine unlearning fails to remove data poisoning attacks.

The Space Complexity of Learning-Unlearning Algorithms Machine unlearning fails to remove data poisoning attacks

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-07T00:53:51.523088Z

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Unavailable: canonical work link unavailable.

Observation f1054e0f-c36a-4507-90c9-546090bf8890 · outbound

This paper cites Near optimal memory-regret tradeoff for online learning.

The Space Complexity of Learning-Unlearning Algorithms Near optimal memory-regret tradeoff for online learning

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:53:58.015053Z

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 1a06dc7b-1a8c-4317-89dc-8abfe015aaa2 · outbound

This paper cites Big data and sketching.

The Space Complexity of Learning-Unlearning Algorithms Big data and sketching

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:53:57.879295Z

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 222db1a8-6814-464b-92ba-7fcaafb3e22a · outbound

This paper cites Linear adversarial concept erasure.

The Space Complexity of Learning-Unlearning Algorithms Linear adversarial concept erasure

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:53:57.731313Z

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 543103a8-3e1e-40a1-8379-1994403cdc31 · outbound

This paper cites Adversarial concept erasure in kernel space.

The Space Complexity of Learning-Unlearning Algorithms Adversarial concept erasure in kernel space

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:53:57.599862Z

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 c5def2c6-3681-4baf-ba80-c21b40dceae5 · outbound

This paper cites Fast learning requires good memory: A time-space lower bound for parity learning.

The Space Complexity of Learning-Unlearning Algorithms Fast learning requires good memory: A time-space lower bound for parity learning

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:53:57.435143Z

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 48c988ff-f9fe-4296-8e40-b53acc627e88 · outbound

This paper cites Incremental and decremental learning for linear support vector machines.

The Space Complexity of Learning-Unlearning Algorithms Incremental and decremental learning for linear support vector machines

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:53:57.303243Z

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 8e2a05ee-6b5b-4536-96c3-d69da2a43f18 · outbound

This paper cites Eluder dimension and the sample complexity of optimistic exploration.

The Space Complexity of Learning-Unlearning Algorithms Eluder dimension and the sample complexity of optimistic exploration

Reference 90

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:53:57.163630Z

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 a8c49c5a-f3b0-420d-b34e-f7597abd1568 · outbound

This paper cites Remember what you want to forget: Algorithms for machine unlearning.

The Space Complexity of Learning-Unlearning Algorithms Remember what you want to forget: Algorithms for machine unlearning

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:53:57.010794Z

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 d36f23d1-7df8-4daf-8431-7c36f8589b67 · outbound

This paper cites Fundamental limits of online and distributed algorithms for statistical learning and estimation.

The Space Complexity of Learning-Unlearning Algorithms Fundamental limits of online and distributed algorithms for statistical learning and estimation

Reference 92

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:53:56.883424Z

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 b4c07d4c-6969-4970-8b30-add0ddc055f5 · outbound

This paper cites Memory-sample tradeoffs for linear regression with small error.

The Space Complexity of Learning-Unlearning Algorithms Memory-sample tradeoffs for linear regression with small error

Reference 93

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:53:56.712367Z

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 0f7071d2-04ef-4a73-8c6a-7e53e96cd3af · outbound

This paper cites Membership inference attacks against machine learning models.

The Space Complexity of Learning-Unlearning Algorithms Membership inference attacks against machine learning models

Reference 94

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:53:56.552501Z

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 9cba75a1-23d9-4ec2-9ca2-57194e13183f · outbound

This paper cites Memory bounds for the experts problem.

The Space Complexity of Learning-Unlearning Algorithms Memory bounds for the experts problem

Reference 95

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:53:56.438209Z

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 ec964fca-8a71-4148-a90d-db34f4ece3f6 · outbound

This paper cites Minimax rates for memory-bounded sparse linear regression.

The Space Complexity of Learning-Unlearning Algorithms Minimax rates for memory-bounded sparse linear regression

Reference 96

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:53:56.263771Z

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 f2c4be79-4540-47d1-91e6-a6140c0b0b33 · outbound

This paper cites Memory, communication, and statistical queries.

The Space Complexity of Learning-Unlearning Algorithms Memory, communication, and statistical queries

Reference 97

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:53:56.093689Z

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 34d235ed-62c4-4c04-af30-bb26d700343a · outbound

This paper cites Algorithms that approximate data removal: New results and limitations.

The Space Complexity of Learning-Unlearning Algorithms Algorithms that approximate data removal: New results and limitations

Reference 98

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:53:55.964978Z

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 842c1b65-7080-490c-bd19-5e54a0352608 · outbound

This paper cites Unrolling SGD : Understanding factors influencing machine unlearning.

The Space Complexity of Learning-Unlearning Algorithms Unrolling SGD : Understanding factors influencing machine unlearning

Reference 99

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:53:55.822868Z

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 a08f813f-afdd-4e6a-8fa7-6c15581b25d4 · outbound

This paper cites Incremental and decremental proximal support vector classification using decay coefficients.

The Space Complexity of Learning-Unlearning Algorithms Incremental and decremental proximal support vector classification using decay coefficients

Reference 100

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:53:55.690001Z

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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