Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T11:15:29.816537Z
Paper Citation Record · LEDGER
Targeted Forgetting of Image Subgroups in CLIP Models
As of 10 August 2026, this Paper Citation Record lists 64 of 64 outbound references and 0 inbound Pith citation observations for arXiv:2506.03117.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
64 of 64 outbound references displayed
- verified exact2
- verified fuzzy44
- unresolved17
- parse uncertain0
- malformed identifier1
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
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
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:15:29.548177Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
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
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:15:29.557071Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:15:29.562907Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
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
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:15:29.573143Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
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
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:15:29.582120Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:15:29.586094Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:15:29.619462Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:15:29.623685Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
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
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
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
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
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
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
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
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
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
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
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
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
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
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
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
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
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
Unavailable: canonical work link unavailable.
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
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
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
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
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
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+00:00.
Pith citing papers
No inbound Pith citation observations are available.