Targeted Forgetting of Image Subgroups in CLIP Models | Paper Citation Record

Observation 8d6de958-b35e-4dec-863e-1e55acb7e06d · outbound

This paper cites An Efficient Rehearsal Scheme for Catastrophic Forgetting Mitigation during Multi-stage Fine-tuning.

Targeted Forgetting of Image Subgroups in CLIP Models An Efficient Rehearsal Scheme for Catastrophic Forgetting Mitigation during Multi-stage Fine-tuning

Reference 1

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Observation 2b378d26-4aca-40fc-9c9a-dc70ecee40fa · outbound

This paper cites Objectnet: A large-scale bias-controlled dataset for pushing the limits of object recognition models.Advances in neural information processing systems, 32, 2019.

Targeted Forgetting of Image Subgroups in CLIP Models Objectnet: A large-scale bias-controlled dataset for pushing the limits of object recognition models.Advances in neural information processing systems, 32, 2019

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:15:30.581740Z

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Observation af3d5be0-0cc7-4c76-a813-11173eab7a6a · outbound

This paper cites Evaluating Machine Unlearning via Epistemic Uncertainty.

Targeted Forgetting of Image Subgroups in CLIP Models Evaluating Machine Unlearning via Epistemic Uncertainty

Reference 3

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Observation 12b3eecb-ad27-4fe1-ad19-567ac05ab863 · outbound

This paper cites Representation Learning: A Review and New Perspectives.

Targeted Forgetting of Image Subgroups in CLIP Models Representation Learning: A Review and New Perspectives

Reference 4

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Observation 1ea1e825-d139-4abc-b961-3640213ad905 · outbound

This paper cites Into the laion’s den: Investigating hate in multi- modal datasets.Advances in Neural Information Processing Systems, 36, 2024.

Targeted Forgetting of Image Subgroups in CLIP Models Into the laion’s den: Investigating hate in multi- modal datasets.Advances in Neural Information Processing Systems, 36, 2024

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:15:30.569601Z

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Observation 63aec2b2-1cac-44ee-ae79-685de8ccfd54 · outbound

This paper cites Food-101–mining discriminative components with random forests.

Targeted Forgetting of Image Subgroups in CLIP Models Food-101–mining discriminative components with random forests

Reference 6

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Observation 4393bc43-e3e1-4d95-b54e-0de41b0f0d95 · outbound

This paper cites Machine unlearning.

Targeted Forgetting of Image Subgroups in CLIP Models Machine unlearning

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:15:30.549527Z

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Observation 1b508db8-b840-4977-bc1b-6cb51aff54a7 · outbound

This paper cites Targeted Unlearning with Single Layer Unlearning Gradient.

Targeted Forgetting of Image Subgroups in CLIP Models Targeted Unlearning with Single Layer Unlearning Gradient

Reference 8

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Observation 9a4e90df-583d-4a1a-bb05-33031afe2258 · outbound

This paper cites On Catastrophic Inheritance of Large Foundation Models.

Targeted Forgetting of Image Subgroups in CLIP Models On Catastrophic Inheritance of Large Foundation Models

Reference 9

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Observation 6ef6a9e8-9c43-4b03-bd8c-3df8ad816383 · outbound

This paper cites Data-efficient language-supervised zero- shot learning with self-distillation.

Targeted Forgetting of Image Subgroups in CLIP Models Data-efficient language-supervised zero- shot learning with self-distillation

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:15:30.536843Z

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Observation 26bdd257-cc30-4f4d-8a36-e3bf582aa113 · outbound

This paper cites Efficient model updates for approximate unlearning of graph-structured data.

Targeted Forgetting of Image Subgroups in CLIP Models Efficient model updates for approximate unlearning of graph-structured data

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:15:30.524182Z

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Observation 290cb1ad-468a-4126-8522-a8c890564860 · outbound

This paper cites Zero-shot machine unlearning.IEEE Transactions on Information Forensics and Security, 18:2345– 2354, 2023.

Targeted Forgetting of Image Subgroups in CLIP Models Zero-shot machine unlearning.IEEE Transactions on Information Forensics and Security, 18:2345– 2354, 2023

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:15:30.511913Z

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Observation 062bdd7b-cc5d-4b82-a378-da82ca4f5e32 · outbound

This paper cites Style injection in diffusion: A training-free approach for adapting large- scale diffusion models for style transfer.

Targeted Forgetting of Image Subgroups in CLIP Models Style injection in diffusion: A training-free approach for adapting large- scale diffusion models for style transfer

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:15:30.500210Z

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Observation b671f300-fd5d-40c1-9251-dc060d4ca7ad · outbound

This paper cites Machine unlearning: fisher infomation matrix and selective forgetting in deep networks.

Targeted Forgetting of Image Subgroups in CLIP Models Machine unlearning: fisher infomation matrix and selective forgetting in deep networks

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:15:30.488710Z

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Observation 8f696786-4f24-413c-a013-98f50beaa826 · outbound

This paper cites An analysis of single-layer networks in unsupervised feature learning.

Targeted Forgetting of Image Subgroups in CLIP Models An analysis of single-layer networks in unsupervised feature learning

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:15:30.476918Z

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Observation 6c5d12f4-20fa-4bfe-a554-ba3a3a257cfa · outbound

This paper cites Imagenet: A large-scale hierarchical image database.

Targeted Forgetting of Image Subgroups in CLIP Models Imagenet: A large-scale hierarchical image database

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T11:15:29.615329Z

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Observation 7b1f6e7d-8644-4b44-8abc-634f46722183 · outbound

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

Targeted Forgetting of Image Subgroups in CLIP Models Who's Harry Potter? Approximate Unlearning in LLMs

Reference 17

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Observation f8dc2add-20e8-4804-8f59-e0a71c2e7307 · outbound

This paper cites An Information Theoretic Approach to Machine Unlearning.

Targeted Forgetting of Image Subgroups in CLIP Models An Information Theoretic Approach to Machine Unlearning

Reference 18

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Observation 2c5a28fd-6085-495d-8796-9be1abef36b3 · outbound

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

Targeted Forgetting of Image Subgroups in CLIP Models Eternal sunshine of the spotless net: Selective forgetting in deep networks

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:15:30.457182Z

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Observation 4bd61d3b-e711-4faf-9a6c-6e64177dd7fc · outbound

This paper cites Bayesian variational federated learning and unlearning in decentral- ized networks.

Targeted Forgetting of Image Subgroups in CLIP Models Bayesian variational federated learning and unlearning in decentral- ized networks

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:15:30.443296Z

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Observation cd7d2490-aff0-45ee-bde5-ccff47f6aefc · outbound

This paper cites Domain watermark: Effective and harmless dataset copyright protection is closed at hand.

Targeted Forgetting of Image Subgroups in CLIP Models Domain watermark: Effective and harmless dataset copyright protection is closed at hand

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:15:30.430895Z

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Observation d2983f7c-c58a-4c74-9f42-47546103ed35 · outbound

This paper cites Calip: Zero-shot enhancement of clip with parameter-free attention.

Targeted Forgetting of Image Subgroups in CLIP Models Calip: Zero-shot enhancement of clip with parameter-free attention

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:15:30.418409Z

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Observation e3f94a43-fa4c-4e70-ac64-24337a0d38f4 · outbound

This paper cites Adaptive machine un- learning.NeurIPS, 34:16319–16330, 2021.

Targeted Forgetting of Image Subgroups in CLIP Models Adaptive machine un- learning.NeurIPS, 34:16319–16330, 2021

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:15:30.406850Z

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Observation 3d2646ec-1824-471f-b7f9-d13bc03e5aaf · outbound

This paper cites Researchers found child abuse material in the largest ai image generation dataset, 2024.

Targeted Forgetting of Image Subgroups in CLIP Models Researchers found child abuse material in the largest ai image generation dataset, 2024

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:15:30.393959Z

Source-reported events for the cited work

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Observation bc9bb530-3f86-470d-8bfc-5318061addb7 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

Targeted Forgetting of Image Subgroups in CLIP Models LoRA: Low-Rank Adaptation of Large Language Models

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T11:15:29.652829Z

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Observation 85b8d90e-c0cf-490d-b493-548c514d90bd · outbound

This paper cites Learning to Unlearn for Robust Machine Unlearning.

Targeted Forgetting of Image Subgroups in CLIP Models Learning to Unlearn for Robust Machine Unlearning

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T11:15:29.656919Z

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Observation 49f52eaf-8a0a-4f67-903a-ca18f278c2f8 · outbound

This paper cites Unified Gradient-Based Machine Unlearning with Remain Geometry Enhancement.

Targeted Forgetting of Image Subgroups in CLIP Models Unified Gradient-Based Machine Unlearning with Remain Geometry Enhancement

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T11:15:29.660775Z

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Observation 6f380e50-4004-42bf-8d4e-f8ee0049a4bc · outbound

This paper cites Exponential moving average versus moving exponential average.Mathematische Semesterberichte, 58: 97–107, 2011.

Targeted Forgetting of Image Subgroups in CLIP Models Exponential moving average versus moving exponential average.Mathematische Semesterberichte, 58: 97–107, 2011

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:15:30.382238Z

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Observation 4eb1ff5c-be47-4457-86b0-399d3b757f63 · outbound

This paper cites Namboodiri.

Targeted Forgetting of Image Subgroups in CLIP Models Namboodiri

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:15:30.371259Z

Source-reported events for the cited work

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Observation c4192eb7-25d1-4bbd-93c2-3fc436c8213c · outbound

This paper cites Learning multiple layers of features from tiny images.

Targeted Forgetting of Image Subgroups in CLIP Models Learning multiple layers of features from tiny images

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T11:15:29.674177Z

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Observation 8a5d1bde-34bd-4396-9e32-8ead56b58b2b · outbound

This paper cites A whac-a-mole dilemma: Shortcuts come in multi- ples where mitigating one amplifies others.

Targeted Forgetting of Image Subgroups in CLIP Models A whac-a-mole dilemma: Shortcuts come in multi- ples where mitigating one amplifies others

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:15:30.354831Z

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Observation db91267e-1147-4530-abb5-154aaf91e51a · outbound

This paper cites Model spar- sity can simplify machine unlearning.Advances in Neural Information Processing Systems, 36, 2024.

Targeted Forgetting of Image Subgroups in CLIP Models Model spar- sity can simplify machine unlearning.Advances in Neural Information Processing Systems, 36, 2024

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:15:30.343943Z

Source-reported events for the cited work

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Observation eb6ab732-3886-4418-b144-c88b11ea0b46 · outbound

This paper cites Fisher Information-based Efficient Curriculum Federated Learning with Large Language Models.

Targeted Forgetting of Image Subgroups in CLIP Models Fisher Information-based Efficient Curriculum Federated Learning with Large Language Models

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T11:15:29.687484Z

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Observation bba52285-1c01-4f34-9da3-431909ca1b4f · outbound

This paper cites Unlearning with Fisher Masking.

Targeted Forgetting of Image Subgroups in CLIP Models Unlearning with Fisher Masking

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T11:15:29.691491Z

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Observation 6a0eb6f4-8042-4227-adb1-89693d6de2ea · outbound

This paper cites Improved fine-tuning by better leveraging pre-training data.Advances in Neural Information Processing Systems, 35:32568–32581, 2022.

Targeted Forgetting of Image Subgroups in CLIP Models Improved fine-tuning by better leveraging pre-training data.Advances in Neural Information Processing Systems, 35:32568–32581, 2022

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:15:30.333327Z

Source-reported events for the cited work

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Observation f5441fb3-0712-47cb-8927-ae3328ddf263 · outbound

This paper cites A tutorial on fisher information.Journal of Mathematical Psychology, 80:40–55, 2017.

Targeted Forgetting of Image Subgroups in CLIP Models A tutorial on fisher information.Journal of Mathematical Psychology, 80:40–55, 2017

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:15:30.321805Z

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Observation 7bd7a92c-6f6a-4b95-ba15-52d155a4f947 · outbound

This paper cites Deep unlearning via randomized conditionally independent hessians.

Targeted Forgetting of Image Subgroups in CLIP Models Deep unlearning via randomized conditionally independent hessians

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:15:30.309210Z

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Observation 74ba56b9-09be-4b5d-94c3-9d20d347c157 · outbound

This paper cites Variational bayesian unlearning.Advances in Neural Information Processing Systems, 33:16025–16036, 2020.

Targeted Forgetting of Image Subgroups in CLIP Models Variational bayesian unlearning.Advances in Neural Information Processing Systems, 33:16025–16036, 2020

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:15:30.298145Z

Source-reported events for the cited work

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Observation 513cc1c9-1db4-4523-9703-0f70f746ea9b · outbound

This paper cites Continual lifelong learning with neural networks: A review.Neural networks, 113:54–71,.

Targeted Forgetting of Image Subgroups in CLIP Models Continual lifelong learning with neural networks: A review.Neural networks, 113:54–71,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:15:30.286926Z

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Observation 8b28a883-f2dc-4f5f-a54e-a98add827120 · outbound

This paper cites Safe-clip: Re- moving nsfw concepts from vision-and-language models.

Targeted Forgetting of Image Subgroups in CLIP Models Safe-clip: Re- moving nsfw concepts from vision-and-language models

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:15:30.274466Z

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Observation 2261b50c-c0b2-49ce-901b-aa9b862a383e · outbound

This paper cites What to Pre-Train on? Efficient Intermediate Task Selection.

Targeted Forgetting of Image Subgroups in CLIP Models What to Pre-Train on? Efficient Intermediate Task Selection

Reference 41

Resolution: verified exact; local_arxiv, observed 2026-08-07T11:15:29.897033Z

Source-reported events for the cited work

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Observation 123c6d50-7b22-4535-8bef-604586e48861 · outbound

This paper cites Does training ai violate copyright law?Berke- ley Tech.

Targeted Forgetting of Image Subgroups in CLIP Models Does training ai violate copyright law?Berke- ley Tech

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:15:30.262961Z

Source-reported events for the cited work

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Observation 1c1c1598-0966-4d6b-883c-03171361b343 · outbound

This paper cites Learning transferable visual models from natural language supervi- sion.

Targeted Forgetting of Image Subgroups in CLIP Models Learning transferable visual models from natural language supervi- sion

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:15:30.251045Z

Source-reported events for the cited work

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Observation cf5ae3ae-4f4f-48ea-876f-34adcbe9ab7c · outbound

This paper cites Clip for all things zero-shot sketch-based image retrieval, fine-grained or not.

Targeted Forgetting of Image Subgroups in CLIP Models Clip for all things zero-shot sketch-based image retrieval, fine-grained or not

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:15:30.238905Z

Source-reported events for the cited work

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Observation 0cc2068a-8c51-4eaa-876c-ba3fcc144b60 · outbound

This paper cites BREEDS: Benchmarks for Subpopulation Shift.

Targeted Forgetting of Image Subgroups in CLIP Models BREEDS: Benchmarks for Subpopulation Shift

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-07T11:15:29.734937Z

Source-reported events for the cited work

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Observation c3e1d25d-77df-4009-aca1-e63542b11da4 · outbound

This paper cites Forget me now: Fast and exact unlearning in neighborhood-based recommendation.

Targeted Forgetting of Image Subgroups in CLIP Models Forget me now: Fast and exact unlearning in neighborhood-based recommendation

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:15:30.227360Z

Source-reported events for the cited work

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Observation 5388bc7e-4dfb-44b3-897f-e7c535384422 · outbound

This paper cites Laion-5b: An open large-scale dataset for training next gener- ation image-text models.NeurIPS, 35:25278–25294, 2022.

Targeted Forgetting of Image Subgroups in CLIP Models Laion-5b: An open large-scale dataset for training next gener- ation image-text models.NeurIPS, 35:25278–25294, 2022

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:15:30.215587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 4e80d570-d87a-4586-be54-f694a88c3f0a · outbound

This paper cites Remember what you want to for- get: Algorithms for machine unlearning.Advances in Neural Information Processing Systems, 34:18075–18086, 2021.

Targeted Forgetting of Image Subgroups in CLIP Models Remember what you want to for- get: Algorithms for machine unlearning.Advances in Neural Information Processing Systems, 34:18075–18086, 2021

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:15:30.204397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b9a0e7ff-97fd-40a7-aacf-003c8a482832 · outbound

This paper cites The Boy Who Survived: Removing Harry Potter from an LLM is harder than reported.

Targeted Forgetting of Image Subgroups in CLIP Models The Boy Who Survived: Removing Harry Potter from an LLM is harder than reported

Reference 49

Resolution: verified exact; local_arxiv, observed 2026-08-07T11:15:29.868644Z

Source-reported events for the cited work

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Observation 429660db-ef71-4254-a478-2bc918242fb0 · outbound

This paper cites Towards foundation models for scientific ma- chine learning: Characterizing scaling and transfer behavior.

Targeted Forgetting of Image Subgroups in CLIP Models Towards foundation models for scientific ma- chine learning: Characterizing scaling and transfer behavior

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:15:30.193037Z

Source-reported events for the cited work

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Observation 4a1a008a-54d1-4761-bb6e-9dab33bba7f1 · outbound

This paper cites Fast yet effective machine unlearning.

Targeted Forgetting of Image Subgroups in CLIP Models Fast yet effective machine unlearning

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:15:30.181370Z

Source-reported events for the cited work

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Observation b2be190c-cc6b-400d-8164-2c85c8728e7e · outbound

This paper cites Unrolling sgd: Understanding factors in- fluencing machine unlearning.

Targeted Forgetting of Image Subgroups in CLIP Models Unrolling sgd: Understanding factors in- fluencing machine unlearning

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:15:30.169805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 88cc463c-5b12-43d3-83a5-09a0a45a0754 · outbound

This paper cites Machine unlearning via algorithmic stability.

Targeted Forgetting of Image Subgroups in CLIP Models Machine unlearning via algorithmic stability

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:15:30.158307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation fc818ec5-9ea9-4a68-a613-ed72d1259012 · outbound

This paper cites Machine unlearning of features and labels.

Targeted Forgetting of Image Subgroups in CLIP Models Machine unlearning of features and labels

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:15:30.146611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 6214c443-885a-4cce-8dd3-d3647228878a · outbound

This paper cites Im- proving clip fine-tuning performance.

Targeted Forgetting of Image Subgroups in CLIP Models Im- proving clip fine-tuning performance

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:15:30.134322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c9af52de-3b58-4410-9edf-1a9f31d32114 · outbound

This paper cites Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing infer- ence time.

Targeted Forgetting of Image Subgroups in CLIP Models Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing infer- ence time

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:15:30.120830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e566f769-0c8a-4e72-af29-6a6045c0e029 · outbound

This paper cites One-shot machine unlearning with mnemonic code.

Targeted Forgetting of Image Subgroups in CLIP Models One-shot machine unlearning with mnemonic code

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:15:30.108019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a1cb1de9-774a-47a4-9b96-d4bb8d6cf0d3 · outbound

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

Targeted Forgetting of Image Subgroups in CLIP Models Arcane: An efficient architecture for exact machine unlearning

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:15:30.095548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ba853634-f7ed-4127-9284-00b362f562b7 · outbound

This paper cites Towards fairer datasets: Filtering and balancing the distribution of the people subtree in the imagenet hier- archy.

Targeted Forgetting of Image Subgroups in CLIP Models Towards fairer datasets: Filtering and balancing the distribution of the people subtree in the imagenet hier- archy

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:15:30.081853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 88ba3061-f141-4fbd-bd81-b1fedcf7a133 · outbound

This paper cites Squeeze, recover and relabel: Dataset condensation at imagenet scale from a new perspective.NeurIPS, 36, 2024.

Targeted Forgetting of Image Subgroups in CLIP Models Squeeze, recover and relabel: Dataset condensation at imagenet scale from a new perspective.NeurIPS, 36, 2024

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:15:30.068834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ac549ce7-bac4-4570-bf0f-eca09cf29b80 · outbound

This paper cites Towards Certified Unlearning for Deep Neural Networks.

Targeted Forgetting of Image Subgroups in CLIP Models Towards Certified Unlearning for Deep Neural Networks

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-07T11:15:29.802918Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4146a65e-ab0c-470e-9550-8c64ff033f13 · outbound

This paper cites Graph unlearning with efficient partial re- training.

Targeted Forgetting of Image Subgroups in CLIP Models Graph unlearning with efficient partial re- training

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:15:30.055255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d6b689fe-d549-4be6-a334-79d79362d13d · outbound

This paper cites Discover and mitigate multiple biased subgroups in image classifiers.

Targeted Forgetting of Image Subgroups in CLIP Models Discover and mitigate multiple biased subgroups in image classifiers

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:15:30.043863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d745e3fc-58ba-40f7-99a3-dd4348615e79 · outbound

This paper cites Can clip count stars? an empirical study on quantity bias in clip.

Targeted Forgetting of Image Subgroups in CLIP Models Can clip count stars? an empirical study on quantity bias in clip

Reference 64

Resolution: malformed identifier; raw_fallback, observed 2026-08-07T11:15:30.032199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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