Paper Citation Record · LEDGER

CoUn: Empowering Machine Unlearning via Contrastive Learning

As of 11 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 1 inbound Pith citation observation for arXiv:2509.16391.

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

pith.paper-citation-record.v1
2509.16391 v3

Coverage vector

measured 45 of 45 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-21T22:40:22.028526Z

measured 46 of 46 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-20T10:25:57.025905Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-20T10:28:12.074079Z

Reference resolution

45 of 45 outbound references displayed

verified exact4
verified fuzzy40
unresolved0
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8e57e86e-89d8-4de5-a25e-74bc8f500e05 · outbound

This paper cites The EU proposal for a general data protection regulation and the roots of the ‘right to be forgotten’.Computer Law & Security Review, 29(3):229–235.

CoUn: Empowering Machine Unlearning via Contrastive Learning The EU proposal for a general data protection regulation and the roots of the ‘right to be forgotten’.Computer Law & Security Review, 29(3):229–235

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T22:40:43.545012Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation dc7d7b8d-5eee-421a-a623-2f835311e80e · outbound

This paper cites AI model disgorgement: Methods and choices.Proceedings of the National Academy of Sciences, 121(18):e2307304121.

CoUn: Empowering Machine Unlearning via Contrastive Learning AI model disgorgement: Methods and choices.Proceedings of the National Academy of Sciences, 121(18):e2307304121

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T22:40:43.547839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 123e9d34-d3d9-465e-b307-1cea4b087de6 · outbound

This paper cites Machine unlearning: Taxonomy, metrics, applications, challenges, and prospects.IEEE Transactions on Neural Networks and Learning Systems.

CoUn: Empowering Machine Unlearning via Contrastive Learning Machine unlearning: Taxonomy, metrics, applications, challenges, and prospects.IEEE Transactions on Neural Networks and Learning Systems

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T22:40:43.553379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 5843dfd7-0dd5-431a-b394-3f6a7b726cdd · outbound

This paper cites Exploring the landscape of machine unlearning: A comprehensive survey and taxonomy.IEEE Transactions on Neural Networks and Learning Systems.

CoUn: Empowering Machine Unlearning via Contrastive Learning Exploring the landscape of machine unlearning: A comprehensive survey and taxonomy.IEEE Transactions on Neural Networks and Learning Systems

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T22:40:43.550285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 27868ee3-7397-4665-b322-af9a313bd87c · outbound

This paper cites Machine unlearning: Solutions and challenges.

CoUn: Empowering Machine Unlearning via Contrastive Learning Machine unlearning: Solutions and challenges

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T22:40:43.555998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 1c33c3b5-e505-410d-b1b7-aff38f4822a3 · outbound

This paper cites Hidden poison: Machine unlearning enables camouflaged poisoning attacks.

CoUn: Empowering Machine Unlearning via Contrastive Learning Hidden poison: Machine unlearning enables camouflaged poisoning attacks

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T22:40:43.542161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation b3bb059b-e7a8-4e77-8378-414a31c6e5bc · outbound

This paper cites Arcane: An efficient architecture for exact machine unlearning.

CoUn: Empowering Machine Unlearning via Contrastive Learning Arcane: An efficient architecture for exact machine unlearning

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T22:40:43.566277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 15b1ab2b-176e-4094-a55b-86f92509e20d · outbound

This paper cites Not: Federated unlearning via weight negation.

CoUn: Empowering Machine Unlearning via Contrastive Learning Not: Federated unlearning via weight negation

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T22:40:43.561172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation a196a05c-212f-4e74-aa63-385d5a305f40 · outbound

This paper cites SalUn: Empowering machine unlearning via gradient-based weight saliency in both image classification and generation.

CoUn: Empowering Machine Unlearning via Contrastive Learning SalUn: Empowering machine unlearning via gradient-based weight saliency in both image classification and generation

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T22:40:43.558534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 4973e579-978e-4f60-a194-a87ea916606a · outbound

This paper cites Model sparsity can simplify machine unlearning.

CoUn: Empowering Machine Unlearning via Contrastive Learning Model sparsity can simplify machine unlearning

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T22:40:43.581095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 15938db9-624b-4100-835f-720b3940e708 · outbound

This paper cites What makes unlearning hard and what to do about it.Advances in Neural Information Processing Systems, 37:12293–12333.

CoUn: Empowering Machine Unlearning via Contrastive Learning What makes unlearning hard and what to do about it.Advances in Neural Information Processing Systems, 37:12293–12333

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T22:40:43.578513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 4c3f6190-e83a-48cc-ab68-2be3b15d7a30 · outbound

This paper cites Boundary unlearning: Rapid forgetting of deep networks via shifting the decision boundary.

CoUn: Empowering Machine Unlearning via Contrastive Learning Boundary unlearning: Rapid forgetting of deep networks via shifting the decision boundary

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T22:40:43.632958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 9a9aaf84-bf82-4178-bc2f-1b68da40c2ce · outbound

This paper cites Privacy risks of securing machine learning models against adversarial examples.

CoUn: Empowering Machine Unlearning via Contrastive Learning Privacy risks of securing machine learning models against adversarial examples

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T22:40:43.641066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation ff5f2a59-06c8-4a1f-b3c7-5c9451acebdd · outbound

This paper cites Towards un- bounded machine unlearning.Advances in neural information processing systems, 36:1957– 1987.

CoUn: Empowering Machine Unlearning via Contrastive Learning Towards un- bounded machine unlearning.Advances in neural information processing systems, 36:1957– 1987

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T22:40:43.638507Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation c620bb64-f778-446a-9a28-e64f4b2f3081 · outbound

This paper cites Amnesiac machine learning.

CoUn: Empowering Machine Unlearning via Contrastive Learning Amnesiac machine learning

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T22:40:43.570948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation c0b848e1-2530-4d9a-b6b9-650510ecebc2 · outbound

This paper cites Can bad teach- ing induce forgetting? unlearning in deep networks using an incompetent teacher.Proceedings of the AAAI Conference on Artificial Intelligence, 37(6):7210–7217, Jun.

CoUn: Empowering Machine Unlearning via Contrastive Learning Can bad teach- ing induce forgetting? unlearning in deep networks using an incompetent teacher.Proceedings of the AAAI Conference on Artificial Intelligence, 37(6):7210–7217, Jun

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T22:40:43.630727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 0b19b3c3-1ee2-45a1-aea8-08882f06348d · outbound

This paper cites A survey on federated unlearning: Challenges, methods, and future directions.ACM Computing Surveys, 57(1):1–38.

CoUn: Empowering Machine Unlearning via Contrastive Learning A survey on federated unlearning: Challenges, methods, and future directions.ACM Computing Surveys, 57(1):1–38

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T22:40:43.635605Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 727df2d1-830f-454d-95bf-34efb9dd2beb · outbound

This paper cites A survey on self-supervised learning: Algorithms, applications, and future trends.IEEE Transactions on Pattern Analysis and Machine Intelligence.

CoUn: Empowering Machine Unlearning via Contrastive Learning A survey on self-supervised learning: Algorithms, applications, and future trends.IEEE Transactions on Pattern Analysis and Machine Intelligence

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T22:40:43.586610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 4285ae13-19da-45dd-8972-e148d48674ef · outbound

This paper cites A survey on contrastive self-supervised learning.Technologies, 9(1):2.

CoUn: Empowering Machine Unlearning via Contrastive Learning A survey on contrastive self-supervised learning.Technologies, 9(1):2

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T22:40:43.600331Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 32fb03c8-3bcb-4fb2-abe6-18263b5deb24 · outbound

This paper cites A simple framework for contrastive learning of visual representations.

CoUn: Empowering Machine Unlearning via Contrastive Learning A simple framework for contrastive learning of visual representations

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T22:40:43.627204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation a2891a77-e057-4a53-b34a-b4e2abe1489e · outbound

This paper cites Similarity contrastive estimation for self-supervised soft contrastive learning.

CoUn: Empowering Machine Unlearning via Contrastive Learning Similarity contrastive estimation for self-supervised soft contrastive learning

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T22:40:43.591875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 1e930044-1559-46d3-bbeb-7e420d4ce142 · outbound

This paper cites CO2: Consistent contrast for unsupervised visual representation learning.

CoUn: Empowering Machine Unlearning via Contrastive Learning CO2: Consistent contrast for unsupervised visual representation learning

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T22:40:43.623945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 9295d871-1f27-4a79-8287-a2da65858759 · outbound

This paper cites Debiased contrastive learning.Advances in neural information processing systems, 33:8765– 8775.

CoUn: Empowering Machine Unlearning via Contrastive Learning Debiased contrastive learning.Advances in neural information processing systems, 33:8765– 8775

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T22:40:43.589071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation d6ed75c8-ac06-4faa-bc8b-91270aeb19e2 · outbound

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

CoUn: Empowering Machine Unlearning via Contrastive Learning Unrolling SGD: Understanding factors influencing machine unlearning

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T22:40:43.621438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation ccf0b15e-f169-418d-803e-b889473e35f0 · outbound

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

CoUn: Empowering Machine Unlearning via Contrastive Learning Eternal sunshine of the spotless net: Selective forgetting in deep networks

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T22:40:43.583610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 02d9c394-03ce-41b1-b449-ee2dee1e202f · outbound

This paper cites The lottery ticket hypothesis: Finding sparse, trainable neural networks.

CoUn: Empowering Machine Unlearning via Contrastive Learning The lottery ticket hypothesis: Finding sparse, trainable neural networks

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T22:40:43.597697Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 8a2c6c37-1566-4011-8fb5-756ade149e73 · outbound

This paper cites Sanity checks for lottery tickets: Does your winning ticket really win the jackpot?Advances in Neural Information Processing Systems, 34:12749–12760.

CoUn: Empowering Machine Unlearning via Contrastive Learning Sanity checks for lottery tickets: Does your winning ticket really win the jackpot?Advances in Neural Information Processing Systems, 34:12749–12760

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T22:40:43.616326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation cbcc07fc-ce16-433f-b7a7-73b7c4d43bdf · outbound

This paper cites Fast machine unlearning without retraining through selective synaptic dampening.

CoUn: Empowering Machine Unlearning via Contrastive Learning Fast machine unlearning without retraining through selective synaptic dampening

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T22:40:43.618914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 543d84eb-ed1d-4d12-a82b-2cb3631de86d · outbound

This paper cites What makes for good views for contrastive learning?Advances in neural information processing systems, 33:6827–6839.

CoUn: Empowering Machine Unlearning via Contrastive Learning What makes for good views for contrastive learning?Advances in neural information processing systems, 33:6827–6839

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T22:40:43.594391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation dc65ea81-cbf3-47fb-8a7b-31e65c7ecf75 · outbound

This paper cites Improved Baselines with Momentum Contrastive Learning.

CoUn: Empowering Machine Unlearning via Contrastive Learning Improved Baselines with Momentum Contrastive Learning

Reference 30

Resolution: verified exact; local_arxiv, observed 2026-05-21T22:40:43.115492Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation d2463dc2-53fe-48b4-afc4-79d9254d3960 · outbound

This paper cites Barlow twins: Self- supervised learning via redundancy reduction.

CoUn: Empowering Machine Unlearning via Contrastive Learning Barlow twins: Self- supervised learning via redundancy reduction

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T22:40:43.648793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 2881cd91-c292-4428-a55b-0fab32c08366 · outbound

This paper cites VICReg: Variance-invariance-covariance regular- ization for self-supervised learning.

CoUn: Empowering Machine Unlearning via Contrastive Learning VICReg: Variance-invariance-covariance regular- ization for self-supervised learning

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T22:40:43.573447Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 6fa9a975-1f72-462b-8ee7-168ef76f9230 · outbound

This paper cites Contrastive Unlearning: A Contrastive Approach to Machine Unlearning.

CoUn: Empowering Machine Unlearning via Contrastive Learning Contrastive Unlearning: A Contrastive Approach to Machine Unlearning

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-05-21T22:40:43.129806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation cdc0676c-14ec-4c8e-8609-9f04801c9194 · outbound

This paper cites A theoretical analysis of contrastive unsupervised representation learning.

CoUn: Empowering Machine Unlearning via Contrastive Learning A theoretical analysis of contrastive unsupervised representation learning

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T22:40:43.602658Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation e1ba7bde-4009-40cc-8b14-4c6ea3de42dc · outbound

This paper cites Towards the generalization of contrastive self-supervised learning.

CoUn: Empowering Machine Unlearning via Contrastive Learning Towards the generalization of contrastive self-supervised learning

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T22:40:43.607446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 8fa800c3-594b-4e0a-9bf9-5d7e53c969ba · outbound

This paper cites The CIFAR-10 dataset.online: http://www.

CoUn: Empowering Machine Unlearning via Contrastive Learning The CIFAR-10 dataset.online: http://www

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T22:40:43.604945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 0244402d-6150-434a-9991-f5c91c01d191 · outbound

This paper cites Tiny ImageNet visual recognition challenge.CS 231N, 7(7):3.

CoUn: Empowering Machine Unlearning via Contrastive Learning Tiny ImageNet visual recognition challenge.CS 231N, 7(7):3

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T22:40:43.610593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 8fe18c6f-7451-436b-b6c9-3223892163f9 · outbound

This paper cites Deep residual learning for image recognition.

CoUn: Empowering Machine Unlearning via Contrastive Learning Deep residual learning for image recognition

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T22:40:43.613540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 9ddd17e5-ff8e-46df-9317-8adfe356dacd · outbound

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

CoUn: Empowering Machine Unlearning via Contrastive Learning Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 39

Resolution: verified exact; local_arxiv, observed 2026-05-21T22:40:43.120051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation f8bbdefb-9705-4d8a-90d4-fd70a2cb2d28 · outbound

This paper cites Vision Transformer for Small-Size Datasets.

CoUn: Empowering Machine Unlearning via Contrastive Learning Vision Transformer for Small-Size Datasets

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-05-21T22:40:43.125538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 3e3e7dc1-638f-4c68-9f10-6574a4ce80b0 · outbound

This paper cites Supervised contrastive learning.Advances in neural information processing systems, 33:18661–18673.

CoUn: Empowering Machine Unlearning via Contrastive Learning Supervised contrastive learning.Advances in neural information processing systems, 33:18661–18673

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T22:40:43.643476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 132519bc-e96b-46bf-86ce-b1edac8643c7 · outbound

This paper cites Flat minima.Neural computation, 9(1):1–42.

CoUn: Empowering Machine Unlearning via Contrastive Learning Flat minima.Neural computation, 9(1):1–42

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T22:40:43.576152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 78afbe8d-f5fe-4777-9edc-085bc4e9f82d · outbound

This paper cites Pytorch: An imperative style, high-performance deep learning library.

CoUn: Empowering Machine Unlearning via Contrastive Learning Pytorch: An imperative style, high-performance deep learning library

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T22:40:43.646154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 2c2bda9a-f21d-4581-8467-685291f75baa · outbound

This paper cites ImageNet large scale visual recognition challenge.International journal of computer vision, 115:211–252.

CoUn: Empowering Machine Unlearning via Contrastive Learning ImageNet large scale visual recognition challenge.International journal of computer vision, 115:211–252

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T22:40:43.563670Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 80317dce-535f-48c9-b3ce-eaedb734ddf7 · outbound

This paper cites Forgetting ScenarioMethod L2 - (∆↓) Avg.

CoUn: Empowering Machine Unlearning via Contrastive Learning Forgetting ScenarioMethod L2 - (∆↓) Avg

Reference 45

Resolution: malformed identifier; raw_fallback, observed 2026-05-21T22:40:43.568521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Pith citing papers

Observation 6ecb1f31-5efb-4dcc-a3f1-0f7a0f01d490 · inbound

Interference-Aware Multi-Task Unlearning cites this paper.

Interference-Aware Multi-Task Unlearning CoUn: Empowering Machine Unlearning via Contrastive Learning

Reference 28

Resolution: verified exact; local_arxiv, observed 2026-05-20T10:28:12.075961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.