Dataset Ownership Verification for Pre-trained Masked Models | Paper Citation Record

Observation 2f911b24-a6d0-48b6-a8c0-c39cdeb817c6 · outbound

This paper cites BEiT: BERT Pre-Training of Image Transformers.

Dataset Ownership Verification for Pre-trained Masked Models BEiT: BERT Pre-Training of Image Transformers

Reference 1

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Observation f389d257-d7ce-4b7c-b2ec-a4bada91019e · outbound

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

Dataset Ownership Verification for Pre-trained Masked Models Food-101–mining discriminative components with random forests

Reference 2

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Observation d41e1f75-631f-4e90-b94e-fc52992186b3 · outbound

This paper cites Poisoning and Backdooring Contrastive Learning.

Dataset Ownership Verification for Pre-trained Masked Models Poisoning and Backdooring Contrastive Learning

Reference 3

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Observation 81f91abb-00c7-4bcb-8428-f174c7c426f8 · outbound

This paper cites Membership inference attacks from first principles.

Dataset Ownership Verification for Pre-trained Masked Models Membership inference attacks from first principles

Reference 4

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Observation eb84c226-e246-4ee6-ad52-c760670c05d4 · outbound

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

Dataset Ownership Verification for Pre-trained Masked Models A simple framework for contrastive learning of visual representations

Reference 5

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Observation c868f01b-6360-4763-8cc8-fff3ac163a55 · outbound

This paper cites Exploring simple siamese rep- resentation learning.

Dataset Ownership Verification for Pre-trained Masked Models Exploring simple siamese rep- resentation learning

Reference 6

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Observation f3d46e46-a60c-420b-88e0-4882a4d83b94 · outbound

This paper cites An empirical study of training self-supervised vision transformers.

Dataset Ownership Verification for Pre-trained Masked Models An empirical study of training self-supervised vision transformers

Reference 7

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Observation 80b2e512-5801-4484-9585-e814f448e03a · outbound

This paper cites Context autoencoder for self- supervised representation learning.

Dataset Ownership Verification for Pre-trained Masked Models Context autoencoder for self- supervised representation learning

Reference 8

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Observation d78d2a62-ecc5-4d0f-a63a-36719a0d352b · outbound

This paper cites Label-only membership infer- ence attacks.

Dataset Ownership Verification for Pre-trained Masked Models Label-only membership infer- ence attacks

Reference 9

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Observation 8cba4779-69bd-4125-86ef-749ccd2bdf8f · outbound

This paper cites Unsupervised Cross-lingual Representation Learning at Scale.

Dataset Ownership Verification for Pre-trained Masked Models Unsupervised Cross-lingual Representation Learning at Scale

Reference 10

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Observation caee8ea5-a7fd-4df1-b26b-231e7a0c5ca6 · outbound

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

Dataset Ownership Verification for Pre-trained Masked Models Imagenet: A large-scale hierarchical image database

Reference 11

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Observation a751308b-430b-4238-879e-da34b6440a13 · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

Dataset Ownership Verification for Pre-trained Masked Models BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 12

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Observation 7562fd76-820c-4c32-97e5-0ceb12ff2a05 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Dataset Ownership Verification for Pre-trained Masked Models An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 13

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Observation 22de468f-4b67-441a-983a-f40c412c09b2 · outbound

This paper cites Dataset inference for self- supervised models.

Dataset Ownership Verification for Pre-trained Masked Models Dataset inference for self- supervised models

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:04:46.869057Z

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Observation 8ec24494-5417-45ec-873f-03f933f91989 · outbound

This paper cites Eva: Exploring the limits of masked visual representa- tion learning at scale.

Dataset Ownership Verification for Pre-trained Masked Models Eva: Exploring the limits of masked visual representa- tion learning at scale

Reference 15

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Observation 8490db1e-a17e-4819-a226-13e85f5a7fb9 · outbound

This paper cites The Pile: An 800GB Dataset of Diverse Text for Language Modeling.

Dataset Ownership Verification for Pre-trained Masked Models The Pile: An 800GB Dataset of Diverse Text for Language Modeling

Reference 16

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Observation 3d967f8e-2599-4604-a2d1-7bb653ecc57f · outbound

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

Dataset Ownership Verification for Pre-trained Masked Models Domain watermark: Effec- tive and harmless dataset copyright protection is closed at hand

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:04:46.447408Z

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Observation 28a0c31c-aaa5-45ec-8bf4-1a00020b73ce · outbound

This paper cites Zeromark: Towards dataset own- ership verification without disclosing watermark.

Dataset Ownership Verification for Pre-trained Masked Models Zeromark: Towards dataset own- ership verification without disclosing watermark

Reference 18

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Observation 4ae4ef7a-a1b0-45d2-8290-28d51eaffec9 · outbound

This paper cites news-please: A generic news crawler and extrac- tor.

Dataset Ownership Verification for Pre-trained Masked Models news-please: A generic news crawler and extrac- tor

Reference 19

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Observation 89601780-63e5-4c62-84dc-bda354cb1de8 · outbound

This paper cites Spectre: Defending against backdoor attacks us- ing robust statistics.

Dataset Ownership Verification for Pre-trained Masked Models Spectre: Defending against backdoor attacks us- ing robust statistics

Reference 20

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Observation 89b1097d-c4d2-46a1-85f2-9dc3ba0a041c · outbound

This paper cites Deep residual learning for image recognition.

Dataset Ownership Verification for Pre-trained Masked Models Deep residual learning for image recognition

Reference 21

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Observation a2e5f3eb-65df-4d75-b089-607beba735f5 · outbound

This paper cites Masked autoencoders are scalable vision learners.

Dataset Ownership Verification for Pre-trained Masked Models Masked autoencoders are scalable vision learners

Reference 22

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Observation 8973db7a-eb18-4dbe-b3da-767713b4e962 · outbound

This paper cites Introduction to mathematical statistics.

Dataset Ownership Verification for Pre-trained Masked Models Introduction to mathematical statistics

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:04:45.588549Z

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Observation e32e8cf1-5355-4bbf-8076-3d0e8174fe62 · outbound

This paper cites The MiniPile Challenge for Data-Efficient Language Models.

Dataset Ownership Verification for Pre-trained Masked Models The MiniPile Challenge for Data-Efficient Language Models

Reference 24

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Observation 4ee7ea6b-45e7-453c-ad2f-1da3b12aeba5 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Dataset Ownership Verification for Pre-trained Masked Models Adam: A Method for Stochastic Optimization

Reference 25

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Observation 7ea990e1-3aed-4696-b7de-96a7dc7e6dcd · outbound

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

Dataset Ownership Verification for Pre-trained Masked Models Learning multiple layers of features from tiny images

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:04:45.416958Z

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Observation 0c9280ea-7fab-4db6-a2ab-b4c7637589ac · outbound

This paper cites ALBERT: A Lite BERT for Self-supervised Learning of Language Representations.

Dataset Ownership Verification for Pre-trained Masked Models ALBERT: A Lite BERT for Self-supervised Learning of Language Representations

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-06T17:04:35.862672Z

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Observation 90474672-ed7a-4db5-a729-103582072f1e · outbound

This paper cites An embarrassingly simple backdoor attack on self-supervised learning.

Dataset Ownership Verification for Pre-trained Masked Models An embarrassingly simple backdoor attack on self-supervised learning

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:04:45.179777Z

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Observation 59eb7cb9-ba61-45d7-bb13-5417d3afe731 · outbound

This paper cites Masked Modeling for Self-supervised Representation Learning on Vision and Beyond.

Dataset Ownership Verification for Pre-trained Masked Models Masked Modeling for Self-supervised Representation Learning on Vision and Beyond

Reference 29

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Observation ee7f4f3a-1526-43c7-b394-6b66fc97f143 · outbound

This paper cites Untargeted backdoor watermark: Towards harm- less and stealthy dataset copyright protection.

Dataset Ownership Verification for Pre-trained Masked Models Untargeted backdoor watermark: Towards harm- less and stealthy dataset copyright protection

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:04:45.003500Z

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Observation 2ce80842-c2dd-4636-a69d-bb7d200a3f4e · outbound

This paper cites Black-box dataset ownership verification via backdoor watermarking.

Dataset Ownership Verification for Pre-trained Masked Models Black-box dataset ownership verification via backdoor watermarking

Reference 31

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Observation db0c2f51-171a-490c-9cd3-66f670ad1254 · outbound

This paper cites Microsoft coco: Common objects in context.

Dataset Ownership Verification for Pre-trained Masked Models Microsoft coco: Common objects in context

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:04:44.683808Z

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Observation 4cbd2d79-b410-4b1c-b766-1d797e69d4f9 · outbound

This paper cites Mixmae: Mixed and masked autoencoder for effi- cient pretraining of hierarchical vision transformers.

Dataset Ownership Verification for Pre-trained Masked Models Mixmae: Mixed and masked autoencoder for effi- cient pretraining of hierarchical vision transformers

Reference 33

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Observation 86a4e9a7-ea88-4866-9eeb-809e32ebc305 · outbound

This paper cites RoBERTa: A Robustly Optimized BERT Pretraining Approach.

Dataset Ownership Verification for Pre-trained Masked Models RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 34

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Observation 696b247e-e435-4374-b09e-14a6ce9f9791 · outbound

This paper cites Wdnet: Watermark- decomposition network for visible watermark removal.

Dataset Ownership Verification for Pre-trained Masked Models Wdnet: Watermark- decomposition network for visible watermark removal

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:04:44.093019Z

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Observation 9dff0029-5128-4383-a715-9b677049e6aa · outbound

This paper cites Stolenencoder: stealing pre-trained encoders in self- supervised learning.

Dataset Ownership Verification for Pre-trained Masked Models Stolenencoder: stealing pre-trained encoders in self- supervised learning

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:04:43.831977Z

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Observation 45b23408-431d-4949-8121-c6eb2bd05993 · outbound

This paper cites PixMIM: Rethinking Pixel Reconstruction in Masked Image Modeling.

Dataset Ownership Verification for Pre-trained Masked Models PixMIM: Rethinking Pixel Reconstruction in Masked Image Modeling

Reference 37

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Observation b6c7adb0-fc60-4453-950d-c92976791cc3 · outbound

This paper cites Swin transformer: Hierarchical vision transformer using shifted windows.

Dataset Ownership Verification for Pre-trained Masked Models Swin transformer: Hierarchical vision transformer using shifted windows

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:04:43.563025Z

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Observation acc3ec51-bf55-4f42-847a-7dbaad120c60 · outbound

This paper cites Dataset Inference: Ownership Resolution in Machine Learning.

Dataset Ownership Verification for Pre-trained Masked Models Dataset Inference: Ownership Resolution in Machine Learning

Reference 39

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This paper cites Pointer Sentinel Mixture Models.

Dataset Ownership Verification for Pre-trained Masked Models Pointer Sentinel Mixture Models

Reference 40

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Observation 20446fe6-5435-4cf6-b124-38de8c821753 · outbound

This paper cites BEiT v2: Masked Image Modeling with Vector-Quantized Visual Tokenizers.

Dataset Ownership Verification for Pre-trained Masked Models BEiT v2: Masked Image Modeling with Vector-Quantized Visual Tokenizers

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-06T17:04:37.539678Z

Source-reported events for the cited work

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Observation ee687ab5-d4a7-47b6-b3a8-4d5ad6d1713e · outbound

This paper cites Backdoor attacks on self- supervised learning.

Dataset Ownership Verification for Pre-trained Masked Models Backdoor attacks on self- supervised learning

Reference 42

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Observation 80f72630-63f6-412e-8b96-89d00f14ff09 · outbound

This paper cites Can’t steal? cont-steal! contrastive stealing attacks against image encoders.

Dataset Ownership Verification for Pre-trained Masked Models Can’t steal? cont-steal! contrastive stealing attacks against image encoders

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:04:42.907698Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 9bc4642c-3a3a-428d-9fd1-e7a53de71ba8 · outbound

This paper cites Membership inference attacks against machine learning models.

Dataset Ownership Verification for Pre-trained Masked Models Membership inference attacks against machine learning models

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:04:42.619133Z

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Observation 6226661a-33b4-458f-afe1-95c4cce88e0b · outbound

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

Dataset Ownership Verification for Pre-trained Masked Models Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 45

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Observation ea6a1b00-7998-49bf-8249-ecca87a69e04 · outbound

This paper cites Defending against back- door attacks in natural language generation.

Dataset Ownership Verification for Pre-trained Masked Models Defending against back- door attacks in natural language generation

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:04:42.467965Z

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Observation 73782a65-3e3b-47a9-bc66-21f8a89a4ce2 · outbound

This paper cites Did you train on my dataset? towards public dataset protection with cleanlabel backdoor watermarking.

Dataset Ownership Verification for Pre-trained Masked Models Did you train on my dataset? towards public dataset protection with cleanlabel backdoor watermarking

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:04:42.358314Z

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Observation cb1a9617-1e4e-4aba-8bd6-d4529333d6a4 · outbound

This paper cites Defending against patch-based backdoor attacks on self- supervised learning.

Dataset Ownership Verification for Pre-trained Masked Models Defending against patch-based backdoor attacks on self- supervised learning

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:04:42.254220Z

Source-reported events for the cited work

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Observation 623a75d6-6574-4010-8060-3b2b9bbfd69f · outbound

This paper cites Attention is all you need.

Dataset Ownership Verification for Pre-trained Masked Models Attention is all you need

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:04:42.057966Z

Source-reported events for the cited work

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Observation fc400cd5-0257-4808-9f95-d82c6821e38d · outbound

This paper cites Masked feature predic- tion for self-supervised visual pre-training.

Dataset Ownership Verification for Pre-trained Masked Models Masked feature predic- tion for self-supervised visual pre-training

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:04:41.923309Z

Source-reported events for the cited work

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Observation f0b4a2d6-662c-4a68-adc3-00e0cfed14b2 · outbound

This paper cites an unresolved cited work.

Dataset Ownership Verification for Pre-trained Masked Models Unresolved cited work

Reference 51

Resolution: unresolved; raw_fallback, observed 2026-08-06T17:04:41.775480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 69b00776-372d-436d-adb1-a6ef4b906153 · outbound

This paper cites Dataset ownership verification in contrastive pre-trained models,.

Dataset Ownership Verification for Pre-trained Masked Models Dataset ownership verification in contrastive pre-trained models,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:04:41.628392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 8f1f908e-3690-4b3f-9e85-4cc609999ac1 · outbound

This paper cites Simmim: A simple framework for masked image modeling.

Dataset Ownership Verification for Pre-trained Masked Models Simmim: A simple framework for masked image modeling

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:04:41.479581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 8e6a41fe-91ba-412f-9d1a-452eb7fd7012 · outbound

This paper cites Data poisoning based backdoor attacks to con- trastive learning.

Dataset Ownership Verification for Pre-trained Masked Models Data poisoning based backdoor attacks to con- trastive learning

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:04:41.319319Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation fdd6e2a1-3d1d-443e-bbe3-2ebd3d1a7230 · outbound

This paper cites Ssl-cleanse: Tro- jan detection and mitigation in self-supervised learning.

Dataset Ownership Verification for Pre-trained Masked Models Ssl-cleanse: Tro- jan detection and mitigation in self-supervised learning

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:04:41.168314Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d70d78f6-bd64-4a16-9831-a2a7d1078f20 · outbound

This paper cites Places: A 10 million image database for scene recognition.

Dataset Ownership Verification for Pre-trained Masked Models Places: A 10 million image database for scene recognition

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:04:40.986886Z

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Observation 3d868fd9-cbeb-472e-910b-024626d660ab · outbound

This paper cites iBOT: Image BERT Pre-Training with Online Tokenizer.

Dataset Ownership Verification for Pre-trained Masked Models iBOT: Image BERT Pre-Training with Online Tokenizer

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-06T17:04:39.217991Z

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Unavailable: canonical work link unavailable.

Observation 96671e98-85f1-4a7f-a026-ba49c1d2b718 · outbound

This paper cites Mimco: Masked image modeling pre-training with con- trastive teacher.

Dataset Ownership Verification for Pre-trained Masked Models Mimco: Masked image modeling pre-training with con- trastive teacher

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-06T17:04:39.276385Z

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Observation 5d439346-fa59-4ea3-bafd-a7e4979a46f2 · outbound

This paper cites A unified membership inference method for visual self-supervised en- coder via part-aware capability.

Dataset Ownership Verification for Pre-trained Masked Models A unified membership inference method for visual self-supervised en- coder via part-aware capability

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:04:40.816776Z

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Observation 0b78b703-7fdd-4efd-a8b8-278b831debe1 · outbound

This paper cites an unresolved cited work.

Dataset Ownership Verification for Pre-trained Masked Models Unresolved cited work

Reference 60

Resolution: unresolved; raw_fallback, observed 2026-08-06T17:04:40.605274Z

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This paper cites We first calculate the p-value for the two-tailed test: p = 2P (T >|t|) (7) Then, based on the t-statistic, the final p-value is deter- mined.

Dataset Ownership Verification for Pre-trained Masked Models We first calculate the p-value for the two-tailed test: p = 2P (T >|t|) (7) Then, based on the t-statistic, the final p-value is deter- mined

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:04:40.394668Z

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Observation 3776a7d2-9f70-47a4-a919-5ad1f624e307 · outbound

This paper cites Wiki-50k.

Dataset Ownership Verification for Pre-trained Masked Models Wiki-50k

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:04:40.154287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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