Paper Citation Record · LEDGER

iBOT: Image BERT Pre-Training with Online Tokenizer

As of 7 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 88 inbound Pith citation observations for arXiv:2111.07832.

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

pith.paper-citation-record.v1
2111.07832 v3

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-14T02:10:27.569787Z

measured 111 of 111 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 88 of 88 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:25:41.207347Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

23 of 23 outbound references displayed

verified exact8
verified fuzzy9
unresolved4
parse uncertain0
malformed identifier0
metadata mismatch2

External citation measurements

210
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 0a6db69f-316d-4b27-b494-89d046642d67 · outbound

This paper cites Self-Supervised Classification Network.

iBOT: Image BERT Pre-Training with Online Tokenizer Self-Supervised Classification Network

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-14T02:10:27.645124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation dab44aef-1362-4631-98cb-7e3f6f4693dc · outbound

This paper cites SiT: Self-supervised vIsion Transformer.

iBOT: Image BERT Pre-Training with Online Tokenizer SiT: Self-supervised vIsion Transformer

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-14T02:10:27.640003Z

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Observation 605ffed1-2dd2-4e68-ab44-4eee1a6a0a43 · outbound

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

iBOT: Image BERT Pre-Training with Online Tokenizer BEiT: BERT Pre-Training of Image Transformers

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-05-14T02:10:27.634516Z

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Observation 0599ab66-25fc-426b-8dd3-7428f4030f41 · outbound

This paper cites Mask R-CNN.

iBOT: Image BERT Pre-Training with Online Tokenizer Mask R-CNN

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T02:10:27.664227Z

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Observation a20ae6eb-c455-4ef2-bc08-fd1e244be254 · outbound

This paper cites Efficient Self-supervised Vision Transformers for Representation Learning.

iBOT: Image BERT Pre-Training with Online Tokenizer Efficient Self-supervised Vision Transformers for Representation Learning

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-14T02:10:27.595160Z

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 0d28db53-7b63-47f1-8eea-abde2140864a · outbound

This paper cites Swin Transformer: Hierarchical Vision Transformer using Shifted Windows.

iBOT: Image BERT Pre-Training with Online Tokenizer Swin Transformer: Hierarchical Vision Transformer using Shifted Windows

Reference 6

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T19:27:57.193556Z

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Observation 18dbadf6-4285-48fb-8461-d83f0081ab39 · outbound

This paper cites Intriguing Properties of Vision Transformers.

iBOT: Image BERT Pre-Training with Online Tokenizer Intriguing Properties of Vision Transformers

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-14T02:10:27.606729Z

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Observation 2a4974bd-720c-4f37-a802-a66669be2dcf · outbound

This paper cites VIMPAC: Video Pre-Training via Masked Token Prediction and Contrastive Learning.

iBOT: Image BERT Pre-Training with Online Tokenizer VIMPAC: Video Pre-Training via Masked Token Prediction and Contrastive Learning

Reference 8

Resolution: metadata mismatch; arxiv_id, observed 2026-05-14T02:10:27.612571Z

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation ef649c59-60be-46db-b48e-8a18f1721579 · outbound

This paper cites Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation.

iBOT: Image BERT Pre-Training with Online Tokenizer Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-05-14T02:10:27.618043Z

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Observation 07498bde-05d3-4cf3-9bbb-ee680aa2e17c · outbound

This paper cites Self-Supervised Learning with Swin Transformers.

iBOT: Image BERT Pre-Training with Online Tokenizer Self-Supervised Learning with Swin Transformers

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-14T02:10:27.623610Z

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Observation 52aa06ab-4c35-4e75-8c14-ab09e9e5789e · outbound

This paper cites Self-Supervised Visual Representations Learning by Contrastive Mask Prediction.

iBOT: Image BERT Pre-Training with Online Tokenizer Self-Supervised Visual Representations Learning by Contrastive Mask Prediction

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-14T02:10:27.629457Z

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Observation c697bf79-cb4e-45b5-8b10-5f922eddda8c · outbound

This paper cites an unresolved cited work.

iBOT: Image BERT Pre-Training with Online Tokenizer Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-05-14T02:10:27.667706Z

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Observation 0fb1cda8-9375-4889-9744-dfaaab33b6a2 · outbound

This paper cites 𝑥!𝑥" !𝑥!!𝑥.

iBOT: Image BERT Pre-Training with Online Tokenizer 𝑥!𝑥" !𝑥!!𝑥

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T02:10:27.670636Z

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Observation 76a93f20-7df0-4c79-96b2-4e63cffc2172 · outbound

This paper cites We observe the latter practice performs sightly better since it is more ﬂexible in task composition and data in a batch is mutually independent.

iBOT: Image BERT Pre-Training with Online Tokenizer We observe the latter practice performs sightly better since it is more ﬂexible in task composition and data in a batch is mutually independent

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T02:10:27.674170Z

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Observation bd692f6a-cb9c-4b09-a62d-107774b8858b · outbound

This paper cites an unresolved cited work.

iBOT: Image BERT Pre-Training with Online Tokenizer Unresolved cited work

Reference 15

Resolution: unresolved; raw_fallback, observed 2026-05-14T02:10:27.677771Z

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Observation 842b0ef5-95f5-4a88-bf26-b253ab1246be · outbound

This paper cites an unresolved cited work.

iBOT: Image BERT Pre-Training with Online Tokenizer Unresolved cited work

Reference 16

Resolution: unresolved; raw_fallback, observed 2026-05-14T02:10:27.680903Z

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 53b32346-0553-4cb3-b718-64ec085a8123 · outbound

This paper cites 17 Published as a conference paper at ICLR 2022 0.0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0 Information Loss (%) 0.0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 ImageNet Val Acc@1 R.

iBOT: Image BERT Pre-Training with Online Tokenizer 17 Published as a conference paper at ICLR 2022 0.0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0 Information Loss (%) 0.0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 ImageNet Val Acc@1 R

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T02:10:27.684437Z

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Observation 79738871-3689-48ba-aeb2-dd196965c1a5 · outbound

This paper cites Adding a variance upon the ﬁxed value can also consistently bring a performance gain, which can be explained as stronger data augmentation.

iBOT: Image BERT Pre-Training with Online Tokenizer Adding a variance upon the ﬁxed value can also consistently bring a performance gain, which can be explained as stronger data augmentation

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T02:10:27.687504Z

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 0ced2795-e757-4f72-8203-be583fc91382 · outbound

This paper cites iBOT pre-trained with 800 epochs brings a 0.9% improvement over previous state-of-the-art method.

iBOT: Image BERT Pre-Training with Online Tokenizer iBOT pre-trained with 800 epochs brings a 0.9% improvement over previous state-of-the-art method

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T02:10:27.690779Z

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Observation ec90c1b0-e29b-4f5f-abb3-b5ea3c26f959 · outbound

This paper cites We ﬁnd patch clustering has slightly better performance in all three protocols compared to MPP, suggesting the beneﬁts brought by visual semantics.

iBOT: Image BERT Pre-Training with Online Tokenizer We ﬁnd patch clustering has slightly better performance in all three protocols compared to MPP, suggesting the beneﬁts brought by visual semantics

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T02:10:27.649225Z

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Observation 9deb68e7-ff2d-4352-8c38-cecd36fe6b95 · outbound

This paper cites For DINO, we directly use the projection head for [CLS] token and generate a 65536-d probability distribution for each patch token.

iBOT: Image BERT Pre-Training with Online Tokenizer For DINO, we directly use the projection head for [CLS] token and generate a 65536-d probability distribution for each patch token

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T02:10:27.653362Z

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 7ef2d59b-129a-4e32-b611-f856b8dad7ba · outbound

This paper cites an unresolved cited work.

iBOT: Image BERT Pre-Training with Online Tokenizer Unresolved cited work

Reference 22

Resolution: unresolved; raw_fallback, observed 2026-05-14T02:10:27.656969Z

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 85e323b6-f927-4b3f-b67e-45d7e2a01614 · outbound

This paper cites In the second column, iBOT can match different parts of two instances from the same class (e.g., tiles and windows of two cars) despite their huge differences in texture or color.

iBOT: Image BERT Pre-Training with Online Tokenizer In the second column, iBOT can match different parts of two instances from the same class (e.g., tiles and windows of two cars) despite their huge differences in texture or color

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T02:10:27.661017Z

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Pith citing papers

Observation f14a4747-65d4-4b24-8c1f-449cff0fdf0e · inbound

Revisiting Feature Prediction for Learning Visual Representations from Video cites this paper.

Revisiting Feature Prediction for Learning Visual Representations from Video iBOT: Image BERT Pre-Training with Online Tokenizer

Reference 297

Resolution: verified exact; arxiv_id, observed 2026-05-14T02:10:27.691909Z

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation dd7d20d9-70ae-41a1-95ac-cc3708041cf1 · inbound

Rethinking Random Masking in Self-Distillation on ViT cites this paper.

Rethinking Random Masking in Self-Distillation on ViT iBOT: Image BERT Pre-Training with Online Tokenizer

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T04:25:41.207347Z

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Observation 23a934a4-0b0c-4730-b05e-bf678524b17d · inbound

CDG-MAE: Cross-view Masked Modeling using Diffusion Generated Views cites this paper.

CDG-MAE: Cross-view Masked Modeling using Diffusion Generated Views iBOT: Image BERT Pre-Training with Online Tokenizer

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-06T23:27:33.201202Z

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Observation 782cb8f4-4720-48ec-bd08-a99227d9159e · inbound

General Methods Make Great Domain-specific Foundation Models: A Case-study on Fetal Ultrasound cites this paper.

General Methods Make Great Domain-specific Foundation Models: A Case-study on Fetal Ultrasound iBOT: Image BERT Pre-Training with Online Tokenizer

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-06T23:11:30.175878Z

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Observation fccc7cdd-76a3-446f-b5af-293cdf735578 · inbound

Asymmetric Dual Self-Distillation for 3D Self-Supervised Representation Learning cites this paper.

Asymmetric Dual Self-Distillation for 3D Self-Supervised Representation Learning iBOT: Image BERT Pre-Training with Online Tokenizer

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-06T22:26:23.312376Z

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Observation ebad85fb-f08e-4e2c-83cd-bf4aabd2f59e · inbound

Language-Unlocked ViT (LUViT): Empowering Self-Supervised Vision Transformers with LLMs cites this paper.

Language-Unlocked ViT (LUViT): Empowering Self-Supervised Vision Transformers with LLMs iBOT: Image BERT Pre-Training with Online Tokenizer

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-06T21:17:07.479266Z

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Observation 7a17615d-b98b-487e-93ae-3c546e6cfd7b · inbound

A View-consistent Sampling Method for Regularized Training of Neural Radiance Fields cites this paper.

A View-consistent Sampling Method for Regularized Training of Neural Radiance Fields iBOT: Image BERT Pre-Training with Online Tokenizer

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-06T19:52:37.878565Z

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Observation d73092d8-6dd7-40b0-aab1-4869363bbdd7 · inbound

PointGAC: Geometric-Aware Codebook for Masked Point Cloud Modeling cites this paper.

PointGAC: Geometric-Aware Codebook for Masked Point Cloud Modeling iBOT: Image BERT Pre-Training with Online Tokenizer

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-06T19:44:36.889264Z

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Observation eae453d2-279e-47de-94c0-d4c5b1426467 · inbound

CKAA: Cross-subspace Knowledge Alignment and Aggregation for Robust Continual Learning cites this paper.

CKAA: Cross-subspace Knowledge Alignment and Aggregation for Robust Continual Learning iBOT: Image BERT Pre-Training with Online Tokenizer

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-06T18:00:20.682062Z

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Observation b5f172c2-11a4-469e-8897-8f749aaa31be · inbound

Dual form Complementary Masking for Domain-Adaptive Image Segmentation cites this paper.

Dual form Complementary Masking for Domain-Adaptive Image Segmentation iBOT: Image BERT Pre-Training with Online Tokenizer

Reference 107

Resolution: unresolved; no resolver link, observed 2026-08-06T17:03:55.285023Z

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

Dataset Ownership Verification for Pre-trained Masked Models cites this paper.

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 de6a2160-fa80-4b31-aff7-b8b1aacfaaca · inbound

Towards channel foundation models (CFMs): Motivations, methodologies and opportunities cites this paper.

Towards channel foundation models (CFMs): Motivations, methodologies and opportunities iBOT: Image BERT Pre-Training with Online Tokenizer

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-06T16:24:48.897644Z

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Observation 1c410d63-ba17-413d-99ee-64c11bd99a5f · inbound

Improving Joint Embedding Predictive Architecture with Diffusion Noise cites this paper.

Improving Joint Embedding Predictive Architecture with Diffusion Noise iBOT: Image BERT Pre-Training with Online Tokenizer

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-06T15:44:53.606732Z

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Observation 1f2e605d-458d-4e8e-8d84-98c4a9049700 · inbound

A High Magnifications Histopathology Image Dataset for Oral Squamous Cell Carcinoma Diagnosis and Prognosis cites this paper.

A High Magnifications Histopathology Image Dataset for Oral Squamous Cell Carcinoma Diagnosis and Prognosis iBOT: Image BERT Pre-Training with Online Tokenizer

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-06T15:16:23.855868Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 09ec3bc2-5624-4b3a-b682-c4672ae19fcd · inbound

MaskedCLIP: Bridging the Masked and CLIP Space for Semi-Supervised Medical Vision-Language Pre-training cites this paper.

MaskedCLIP: Bridging the Masked and CLIP Space for Semi-Supervised Medical Vision-Language Pre-training iBOT: Image BERT Pre-Training with Online Tokenizer

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-06T14:55:57.376907Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cad74e73-8733-43da-80ef-41a7249a38f1 · inbound

Self-Guided Masked Autoencoder cites this paper.

Self-Guided Masked Autoencoder iBOT: Image BERT Pre-Training with Online Tokenizer

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-06T14:13:58.379754Z

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Unavailable: canonical work link unavailable.

Observation 3da0ee0a-b4e7-40db-9819-e43bf7eec16e · inbound

Temporally Consistent Unsupervised Segmentation for Mobile Robot Perception cites this paper.

Temporally Consistent Unsupervised Segmentation for Mobile Robot Perception iBOT: Image BERT Pre-Training with Online Tokenizer

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-06T12:02:57.486367Z

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Unavailable: canonical work link unavailable.

Observation fa43b392-30dd-4919-9c32-0a414fb1d00c · inbound

Symmetry Understanding of 3D Shapes via Chirality Disentanglement cites this paper.

Symmetry Understanding of 3D Shapes via Chirality Disentanglement iBOT: Image BERT Pre-Training with Online Tokenizer

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-05T23:57:25.203262Z

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Unavailable: canonical work link unavailable.

Observation 32f6f5f7-b074-4b3f-ae41-ee35c4e3bad1 · inbound

SHREC'25 Track on Multiple Relief Patterns: Report and Analysis cites this paper.

SHREC'25 Track on Multiple Relief Patterns: Report and Analysis iBOT: Image BERT Pre-Training with Online Tokenizer

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-05T20:48:43.615674Z

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Unavailable: canonical work link unavailable.

Observation e9a2fd5a-f921-4e50-abd7-acda6cd3b85b · inbound

Boosting Pathology Foundation Models via Few-shot Prompt-tuning for Rare Cancer Subtyping cites this paper.

Boosting Pathology Foundation Models via Few-shot Prompt-tuning for Rare Cancer Subtyping iBOT: Image BERT Pre-Training with Online Tokenizer

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-05T17:45:06.636212Z

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Unavailable: canonical work link unavailable.

Observation d85145f5-9b96-49d4-9448-fbeee2490e23 · inbound

OmniMRI: A Unified Vision--Language Foundation Model for Generalist MRI Interpretation cites this paper.

OmniMRI: A Unified Vision--Language Foundation Model for Generalist MRI Interpretation iBOT: Image BERT Pre-Training with Online Tokenizer

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-05T16:57:03.304771Z

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Unavailable: canonical work link unavailable.

Observation e8b11c97-ea03-4233-86cd-b52c8e97b06f · inbound

Towards More Diverse and Challenging Pre-training for Point Cloud Learning: Self-Supervised Cross Reconstruction with Decoupled Views cites this paper.

Towards More Diverse and Challenging Pre-training for Point Cloud Learning: Self-Supervised Cross Reconstruction with Decoupled Views iBOT: Image BERT Pre-Training with Online Tokenizer

Reference 89

Resolution: unresolved; no resolver link, observed 2026-08-05T12:47:49.379487Z

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Unavailable: canonical work link unavailable.

Observation 666e756c-3208-4eb1-bb2a-4488fc2006fc · inbound

QualityFM: a Multimodal Physiological Signal Foundation Model with Self-Distillation for Signal Quality Challenges in Critically Ill Patients cites this paper.

QualityFM: a Multimodal Physiological Signal Foundation Model with Self-Distillation for Signal Quality Challenges in Critically Ill Patients iBOT: Image BERT Pre-Training with Online Tokenizer

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-04T23:33:57.655073Z

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Unavailable: canonical work link unavailable.

Observation bea32e29-bf01-4422-b066-dbf264571ea9 · inbound

FoMo4Wheat: Toward reliable crop vision foundation models with globally curated data cites this paper.

FoMo4Wheat: Toward reliable crop vision foundation models with globally curated data iBOT: Image BERT Pre-Training with Online Tokenizer

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-04T22:55:16.994267Z

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Unavailable: canonical work link unavailable.

Observation 3d91b3ca-3525-4f60-bb54-d1b6e2a3417a · inbound

DualTrack: Sensorless 3D Ultrasound needs Local and Global Context cites this paper.

DualTrack: Sensorless 3D Ultrasound needs Local and Global Context iBOT: Image BERT Pre-Training with Online Tokenizer

Reference 19

Resolution: metadata mismatch; local_arxiv, observed 2026-05-18T17:51:42.035821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation dbbfab78-18fc-4ece-998f-dd4b5f8a4b2b · inbound

PeftCD: Leveraging Vision Foundation Models with Parameter-Efficient Fine-Tuning for Remote Sensing Change Detection cites this paper.

PeftCD: Leveraging Vision Foundation Models with Parameter-Efficient Fine-Tuning for Remote Sensing Change Detection iBOT: Image BERT Pre-Training with Online Tokenizer

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-04T18:55:35.682352Z

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Observation fb6eea95-5fe6-4981-b522-70b61f53c47b · inbound

UNIV: Unified Foundation Model for Infrared and Visible Modalities cites this paper.

UNIV: Unified Foundation Model for Infrared and Visible Modalities iBOT: Image BERT Pre-Training with Online Tokenizer

Reference 45

Resolution: verified exact; local_arxiv, observed 2026-05-18T16:31:37.175410Z

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Observation e90c9954-0f70-4f11-96ec-c237a06dd746 · inbound

{\Phi}eat: Physically Grounded Material Feature Representation cites this paper.

{\Phi}eat: Physically Grounded Material Feature Representation iBOT: Image BERT Pre-Training with Online Tokenizer

Reference 58

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4a488521-3817-4be9-b556-11ec25fcbff7 · inbound

Contrastive Heliophysical Image Pretraining for Solar Dynamics Observatory Records cites this paper.

Contrastive Heliophysical Image Pretraining for Solar Dynamics Observatory Records iBOT: Image BERT Pre-Training with Online Tokenizer

Reference 52

Resolution: verified exact; local_arxiv, observed 2026-05-17T04:19:00.355875Z

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 11d18450-eeb7-44e5-ba5c-0fd587b4f2d6 · inbound

Robust Representation Learning in Masked Autoencoders cites this paper.

Robust Representation Learning in Masked Autoencoders iBOT: Image BERT Pre-Training with Online Tokenizer

Reference 19

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 407e85f1-3bfc-449e-b71b-eec65e28a9d5 · inbound

MePo: Meta Post-Refinement for Rehearsal-Free General Continual Learning cites this paper.

MePo: Meta Post-Refinement for Rehearsal-Free General Continual Learning iBOT: Image BERT Pre-Training with Online Tokenizer

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 29b779e8-6344-415c-ae21-57024ec7644a · inbound

Less is More: Compact-Token Masked Feature Prediction for Skeleton Representation Learning cites this paper.

Less is More: Compact-Token Masked Feature Prediction for Skeleton Representation Learning iBOT: Image BERT Pre-Training with Online Tokenizer

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-04T05:54:41.580242Z

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Unavailable: canonical work link unavailable.

Observation 00ba1f73-13d2-461f-b443-2a7fec04d02b · inbound

CanViT: Toward Active-Vision Foundation Models cites this paper.

CanViT: Toward Active-Vision Foundation Models iBOT: Image BERT Pre-Training with Online Tokenizer

Reference 60

Resolution: malformed identifier; local_arxiv, observed 2026-05-21T10:34:07.189268Z

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation b8c45814-4d22-41be-a4b9-bc10a2098188 · inbound

MOOZY: A Patient-First Foundation Model for Computational Pathology cites this paper.

MOOZY: A Patient-First Foundation Model for Computational Pathology iBOT: Image BERT Pre-Training with Online Tokenizer

Reference 103

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Unavailable: canonical work link unavailable.

Observation 239b8038-ec07-4a04-aac0-272b5f165e99 · inbound

SPROUT: A Scalable Diffusion Foundation Model for Agricultural Vision cites this paper.

SPROUT: A Scalable Diffusion Foundation Model for Agricultural Vision iBOT: Image BERT Pre-Training with Online Tokenizer

Reference 53

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Unavailable: canonical work link unavailable.

Observation 10896cfe-f83b-489d-b78a-050c07167f74 · inbound

Rapidly deploying on-device eye tracking by distilling visual foundation models cites this paper.

Rapidly deploying on-device eye tracking by distilling visual foundation models iBOT: Image BERT Pre-Training with Online Tokenizer

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-05-14T02:10:27.691909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation a29390fb-d794-4094-a258-eaf96ecd8959 · inbound

Smart Transfer: Leveraging Vision Foundation Model for Rapid Building Damage Mapping with Post-Earthquake VHR Imagery cites this paper.

Smart Transfer: Leveraging Vision Foundation Model for Rapid Building Damage Mapping with Post-Earthquake VHR Imagery iBOT: Image BERT Pre-Training with Online Tokenizer

Reference 6

Resolution: metadata mismatch; arxiv_id, observed 2026-05-14T02:10:27.691909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation f13400c4-50a1-4d64-9e7a-25c1da3a35c8 · inbound

TC-AE: Unlocking Token Capacity for Deep Compression Autoencoders cites this paper.

TC-AE: Unlocking Token Capacity for Deep Compression Autoencoders iBOT: Image BERT Pre-Training with Online Tokenizer

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-14T02:10:27.691909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 3dc504b1-db63-4752-9b5f-bdfdfcef5b0a · inbound

Semantic Noise Reduction via Teacher-Guided Dual-Path Audio-Visual Representation Learning cites this paper.

Semantic Noise Reduction via Teacher-Guided Dual-Path Audio-Visual Representation Learning iBOT: Image BERT Pre-Training with Online Tokenizer

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-05-14T02:10:27.691909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 0796f272-2e37-4858-8127-3d4111958963 · inbound

OVS-DINO: Open-Vocabulary Segmentation via Structure-Aligned SAM-DINO with Language Guidance cites this paper.

OVS-DINO: Open-Vocabulary Segmentation via Structure-Aligned SAM-DINO with Language Guidance iBOT: Image BERT Pre-Training with Online Tokenizer

Reference 59

Resolution: malformed identifier; arxiv_id, observed 2026-05-14T02:10:27.691909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 86aa29ff-3829-4ec6-bcde-273104e81eea · inbound

Self-supervised Pretraining of Cell Segmentation Models cites this paper.

Self-supervised Pretraining of Cell Segmentation Models iBOT: Image BERT Pre-Training with Online Tokenizer

Reference 51

Resolution: verified exact; arxiv_id, observed 2026-05-14T02:10:27.691909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 97b8be4a-8486-41b4-bbd8-2d3bf7ad2135 · inbound

Generative Data-engine Foundation Model for Universal Few-shot 2D Vascular Image Segmentation cites this paper.

Generative Data-engine Foundation Model for Universal Few-shot 2D Vascular Image Segmentation iBOT: Image BERT Pre-Training with Online Tokenizer

Reference 3

Resolution: metadata mismatch; arxiv_id, observed 2026-05-14T02:10:27.691909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation d316c8b3-6b13-46ee-a84e-0a19cb3ebd45 · inbound

Towards Brain MRI Foundation Models for the Clinic: Findings from the FOMO25 Challenge cites this paper.

Towards Brain MRI Foundation Models for the Clinic: Findings from the FOMO25 Challenge iBOT: Image BERT Pre-Training with Online Tokenizer

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-05-14T02:10:27.691909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 10a64009-3f7a-4795-ace1-2359f69d9086 · inbound

Towards Brain MRI Foundation Models for the Clinic: Findings from the FOMO25 Challenge cites this paper.

Towards Brain MRI Foundation Models for the Clinic: Findings from the FOMO25 Challenge iBOT: Image BERT Pre-Training with Online Tokenizer

Reference 33

Resolution: verified exact; local_arxiv, observed 2026-05-25T06:30:24.363490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 6a99a994-0c8d-4f7a-9876-fa09b794c0b7 · inbound

PolarMAE: Efficient Fetal Ultrasound Pre-training via Semantic Screening and Polar-Guided Masking cites this paper.

PolarMAE: Efficient Fetal Ultrasound Pre-training via Semantic Screening and Polar-Guided Masking iBOT: Image BERT Pre-Training with Online Tokenizer

Reference 50

Resolution: verified exact; arxiv_id, observed 2026-05-14T02:10:27.691909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 4a8c9676-3312-4ef6-9e97-51dd47e26a30 · inbound

iDocV2: Leveraging Self-Supervision and Open-Set Detection for Improving Pattern Spotting in Historical Documents cites this paper.

iDocV2: Leveraging Self-Supervision and Open-Set Detection for Improving Pattern Spotting in Historical Documents iBOT: Image BERT Pre-Training with Online Tokenizer

Reference 3

Resolution: metadata mismatch; arxiv_id, observed 2026-05-14T02:10:27.691909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 68280412-3085-42b3-8a1f-d45ff79a5db0 · inbound

OFlow: Injecting Object-Aware Temporal Flow Matching for Robust Robotic Manipulation cites this paper.

OFlow: Injecting Object-Aware Temporal Flow Matching for Robust Robotic Manipulation iBOT: Image BERT Pre-Training with Online Tokenizer

Reference 65

Resolution: verified exact; arxiv_id, observed 2026-05-14T02:10:27.691909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation e35b3d82-3dab-4bec-a84f-8931f89ffab6 · inbound

Image Generators are Generalist Vision Learners cites this paper.

Image Generators are Generalist Vision Learners iBOT: Image BERT Pre-Training with Online Tokenizer

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-05-14T02:10:27.691909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 446b56a7-7dc7-4340-ae0f-56018c52fde6 · inbound

Image Generators are Generalist Vision Learners cites this paper.

Image Generators are Generalist Vision Learners iBOT: Image BERT Pre-Training with Online Tokenizer

Reference 32

Resolution: verified exact; local_arxiv, observed 2026-05-15T07:45:14.761375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation fe5a3d89-69f0-4d9a-bdf0-08a90f9ef485 · inbound

VFM$^{4}$SDG: Unveiling the Power of VFMs for Single-Domain Generalized Object Detection cites this paper.

VFM$^{4}$SDG: Unveiling the Power of VFMs for Single-Domain Generalized Object Detection iBOT: Image BERT Pre-Training with Online Tokenizer

Reference 44

Resolution: verified exact; arxiv_id, observed 2026-05-14T02:10:27.691909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 1c12af70-34b7-442f-ba65-221220676c84 · inbound

VFM$^{4}$SDG: Unveiling the Power of VFMs for Single-Domain Generalized Object Detection cites this paper.

VFM$^{4}$SDG: Unveiling the Power of VFMs for Single-Domain Generalized Object Detection iBOT: Image BERT Pre-Training with Online Tokenizer

Reference 44

Resolution: verified exact; local_arxiv, observed 2026-05-25T06:05:26.260072Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 3038a04a-c3d5-4383-8c47-44ba34a4829f · inbound

Sapiens2 cites this paper.

Sapiens2 iBOT: Image BERT Pre-Training with Online Tokenizer

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-14T02:10:27.691909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 6b2d9af9-6f20-497e-9059-6d6111228d5f · inbound

A satellite foundation model for improved wealth monitoring cites this paper.

A satellite foundation model for improved wealth monitoring iBOT: Image BERT Pre-Training with Online Tokenizer

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-05-14T02:10:27.691909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation d8957ced-7af9-4abe-8775-2d462ec3920d · inbound

BrainDINO: A Brain MRI Foundation Model for Generalizable Clinical Representation Learning cites this paper.

BrainDINO: A Brain MRI Foundation Model for Generalizable Clinical Representation Learning iBOT: Image BERT Pre-Training with Online Tokenizer

Reference 76

Resolution: verified exact; arxiv_id, observed 2026-05-14T02:10:27.691909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 4ee0b8bc-fd67-4534-87e5-9634cb50c4df · inbound

What Matters for Diffusion-Friendly Latent Manifold? Prior-Aligned Autoencoders for Latent Diffusion cites this paper.

What Matters for Diffusion-Friendly Latent Manifold? Prior-Aligned Autoencoders for Latent Diffusion iBOT: Image BERT Pre-Training with Online Tokenizer

Reference 110

Resolution: malformed identifier; arxiv_id, observed 2026-05-14T02:10:27.691909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 652dab2b-3048-46ba-b6d2-3a579d3a5b86 · inbound

Beyond ViT Tokens: Masked-Diffusion Pretrained Convolutional Pathology Foundation Model for Cell-Level Dense Prediction cites this paper.

Beyond ViT Tokens: Masked-Diffusion Pretrained Convolutional Pathology Foundation Model for Cell-Level Dense Prediction iBOT: Image BERT Pre-Training with Online Tokenizer

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-14T02:10:27.691909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 480c336d-0c09-4075-8c35-00096f97f5d2 · inbound

LychSim: A Controllable and Interactive Simulation Framework for Vision Research cites this paper.

LychSim: A Controllable and Interactive Simulation Framework for Vision Research iBOT: Image BERT Pre-Training with Online Tokenizer

Reference 66

Resolution: verified exact; arxiv_id, observed 2026-05-14T02:10:27.691909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation a1621965-da22-486c-a80b-5853a0d182a9 · inbound

UniRefiner: Teaching Pre-trained ViTs to Self-Dispose Dross via Contrastive Register cites this paper.

UniRefiner: Teaching Pre-trained ViTs to Self-Dispose Dross via Contrastive Register iBOT: Image BERT Pre-Training with Online Tokenizer

Reference 44

Resolution: verified exact; local_arxiv, observed 2026-05-20T06:48:05.621539Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation c7d29dc8-6ed8-46b3-a090-b01f78e92129 · inbound

Universal CT Representations from Anatomy to Disease Phenotype through Agglomerative Pretraining cites this paper.

Universal CT Representations from Anatomy to Disease Phenotype through Agglomerative Pretraining iBOT: Image BERT Pre-Training with Online Tokenizer

Reference 18

Resolution: metadata mismatch; local_arxiv, observed 2026-05-22T07:51:15.576029Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 34a1d225-25a5-43d2-a016-95510a46e162 · inbound

Universal CT Representations from Anatomy to Disease Phenotype through Agglomerative Pretraining cites this paper.

Universal CT Representations from Anatomy to Disease Phenotype through Agglomerative Pretraining iBOT: Image BERT Pre-Training with Online Tokenizer

Reference 18

Resolution: metadata mismatch; local_arxiv, observed 2026-05-25T06:20:24.441028Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 3e382abb-a317-494d-ba23-dbc81f2f59ec · inbound

Learning from Semantic Dictionaries: Discriminative Codebook Contrastive Learning for Unified Visual Representation and Generation cites this paper.

Learning from Semantic Dictionaries: Discriminative Codebook Contrastive Learning for Unified Visual Representation and Generation iBOT: Image BERT Pre-Training with Online Tokenizer

Reference 63

Resolution: verified exact; local_arxiv, observed 2026-06-30T12:34:38.775097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation d3ecd436-77fa-4a20-a6f5-e75eeeafac34 · inbound

A Multimodal 3D Foundation Model for Light Sheet Fluorescence Microscopy Enables Few-Shot Segmentation, Classification, and Deblurring cites this paper.

A Multimodal 3D Foundation Model for Light Sheet Fluorescence Microscopy Enables Few-Shot Segmentation, Classification, and Deblurring iBOT: Image BERT Pre-Training with Online Tokenizer

Reference 37

Resolution: metadata mismatch; local_arxiv, observed 2026-06-29T23:04:01.078897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 05fca233-a413-4a1e-92da-c7db66a4c1ff · inbound

AnchorDiff: Training-Free Concept Grounding for MM-DiTs via Anchor-Based Graph Propagation cites this paper.

AnchorDiff: Training-Free Concept Grounding for MM-DiTs via Anchor-Based Graph Propagation iBOT: Image BERT Pre-Training with Online Tokenizer

Reference 30

Resolution: malformed identifier; local_arxiv, observed 2026-06-29T18:53:51.477917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation d7257b77-ad33-4307-bbe5-e4c81abc805a · inbound

SIGMA: Bridging Structural and Distributional Gaps for Vision Foundation Model Adaptation cites this paper.

SIGMA: Bridging Structural and Distributional Gaps for Vision Foundation Model Adaptation iBOT: Image BERT Pre-Training with Online Tokenizer

Reference 56

Resolution: metadata mismatch; local_arxiv, observed 2026-06-29T13:53:28.967206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation f6bfdb0b-1579-4b91-bbaa-43c9cf730f43 · inbound

Unsupervised Semantic Segmentation Facilitates Model Understanding cites this paper.

Unsupervised Semantic Segmentation Facilitates Model Understanding iBOT: Image BERT Pre-Training with Online Tokenizer

Reference 33

Resolution: metadata mismatch; local_arxiv, observed 2026-06-29T08:43:15.478378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation c66245ad-73fc-42ae-affd-cc0d42ab8163 · inbound

Unsupervised Semantic Segmentation Facilitates Model Understanding cites this paper.

Unsupervised Semantic Segmentation Facilitates Model Understanding iBOT: Image BERT Pre-Training with Online Tokenizer

Reference 33

Resolution: metadata mismatch; local_arxiv, observed 2026-07-04T00:39:16.424508Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation cc70a7a6-0936-4bc3-b66f-d39897c56fd7 · inbound

Genetically Aligned Patient Representations Improve Hematological Diagnosis cites this paper.

Genetically Aligned Patient Representations Improve Hematological Diagnosis iBOT: Image BERT Pre-Training with Online Tokenizer

Reference 21

Resolution: metadata mismatch; local_arxiv, observed 2026-06-29T08:23:14.911395Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 411d3914-150c-4dac-a446-a184de044705 · inbound

Structure-Guided Mixed Masked Pretraining and Spatial Continuity Regularization for Printed Circuit Board Defect Detection cites this paper.

Structure-Guided Mixed Masked Pretraining and Spatial Continuity Regularization for Printed Circuit Board Defect Detection iBOT: Image BERT Pre-Training with Online Tokenizer

Reference 66

Resolution: verified exact; local_arxiv, observed 2026-07-02T03:06:30.179171Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation b0729988-793f-46b4-9504-cb77d9eb6c74 · inbound

Formalizing the Binding Problem cites this paper.

Formalizing the Binding Problem iBOT: Image BERT Pre-Training with Online Tokenizer

Reference 88

Resolution: metadata mismatch; local_arxiv, observed 2026-07-02T03:06:29.823060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 55023d07-92d8-4d1c-94af-88e9428c6352 · inbound

SingGuard: A Policy-Adaptive Multimodal LLM Guardrail with Dynamic Reasoning cites this paper.

SingGuard: A Policy-Adaptive Multimodal LLM Guardrail with Dynamic Reasoning iBOT: Image BERT Pre-Training with Online Tokenizer

Reference 175

Resolution: metadata mismatch; local_arxiv, observed 2026-07-04T09:59:44.970212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 0b307b98-1f1c-4742-ac5a-16ae890047d0 · inbound

SingGuard: A Policy-Adaptive Multimodal LLM Guardrail with Dynamic Reasoning cites this paper.

SingGuard: A Policy-Adaptive Multimodal LLM Guardrail with Dynamic Reasoning iBOT: Image BERT Pre-Training with Online Tokenizer

Reference 174

Resolution: metadata mismatch; local_arxiv, observed 2026-07-01T18:55:59.692452Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation fbfba207-3932-4943-a2e5-6c5aa6c135f9 · inbound

Frequency-Aware Self-Supervised Music Representation Learning cites this paper.

Frequency-Aware Self-Supervised Music Representation Learning iBOT: Image BERT Pre-Training with Online Tokenizer

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-07-04T20:50:12.644457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation f3f8d161-6f0b-4230-baa2-7a5b2868cc48 · inbound

Frequency-Aware Self-Supervised Music Representation Learning cites this paper.

Frequency-Aware Self-Supervised Music Representation Learning iBOT: Image BERT Pre-Training with Online Tokenizer

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-06-30T10:04:35.632843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation b5546363-a173-41b5-9e85-53b555474ca6 · inbound

DinoLink: A Token-Centric Representation Compression Framework for Bandwidth-Constrained Collaborative V2X Perception cites this paper.

DinoLink: A Token-Centric Representation Compression Framework for Bandwidth-Constrained Collaborative V2X Perception iBOT: Image BERT Pre-Training with Online Tokenizer

Reference 31

Resolution: verified exact; local_arxiv, observed 2026-07-04T15:49:57.549143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation f93bee58-d436-45a6-977c-6c36696c9731 · inbound

DinoLink: A Token-Centric Representation Compression Framework for Bandwidth-Constrained Collaborative V2X Perception cites this paper.

DinoLink: A Token-Centric Representation Compression Framework for Bandwidth-Constrained Collaborative V2X Perception iBOT: Image BERT Pre-Training with Online Tokenizer

Reference 34

Resolution: verified exact; local_arxiv, observed 2026-07-01T09:35:40.916768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 07269cae-bf1a-47d3-a281-3e88e82603fd · inbound

PrISM-IQA: Image Quality Assessment Made Practical for Smartphone Photography cites this paper.

PrISM-IQA: Image Quality Assessment Made Practical for Smartphone Photography iBOT: Image BERT Pre-Training with Online Tokenizer

Reference 47

Resolution: verified exact; local_arxiv, observed 2026-07-01T09:45:39.959270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 9a54210f-2663-4971-8861-1ff8f2c7908a · inbound

Mirror-Fusion Attention for Reflection-Aware Self-Supervised Representation Learning cites this paper.

Mirror-Fusion Attention for Reflection-Aware Self-Supervised Representation Learning iBOT: Image BERT Pre-Training with Online Tokenizer

Reference 47

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation e1188a85-fd8b-46cd-b7f5-f25712abe6e6 · inbound

Understanding Geometric Representations in Self-Supervised Vision Transformers via Subspace Intervention cites this paper.

Understanding Geometric Representations in Self-Supervised Vision Transformers via Subspace Intervention iBOT: Image BERT Pre-Training with Online Tokenizer

Reference 47

Resolution: metadata mismatch; local_arxiv, observed 2026-07-03T15:38:33.094410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 42823ef4-528c-4736-94fe-a0da930822a5 · inbound

Understanding the Robustness of Distributed Self-Supervised Learning Frameworks Against Non-IID Data cites this paper.

Understanding the Robustness of Distributed Self-Supervised Learning Frameworks Against Non-IID Data iBOT: Image BERT Pre-Training with Online Tokenizer

Reference 24

Resolution: metadata mismatch; local_arxiv, observed 2026-07-03T16:38:39.826234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 270106d0-8e71-43c1-8d5a-4f174f4379e0 · inbound

STST-JEPA: Shallow-Target Spatio-Temporal Joint Embedding Prediction Architecture For EEG Self-Supervised Learning cites this paper.

STST-JEPA: Shallow-Target Spatio-Temporal Joint Embedding Prediction Architecture For EEG Self-Supervised Learning iBOT: Image BERT Pre-Training with Online Tokenizer

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-07-11T01:07:41.842281Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 34d5a025-be81-411f-a069-4d8298cbd5ae · inbound

Tomo-center: an AI-based rotation-axis center finder for synchrotron micro- and nano-tomography cites this paper.

Tomo-center: an AI-based rotation-axis center finder for synchrotron micro- and nano-tomography iBOT: Image BERT Pre-Training with Online Tokenizer

Reference 22

Resolution: unresolved; no resolver link, observed 2026-07-14T14:38:08.037662Z

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Unavailable: canonical work link unavailable.

Observation 289fe9be-bd3d-4dc9-be26-5ecf85ed6acf · inbound

Self-Supervised Visual Representation Learning: Pretrain-Finetuning or Joint Training? cites this paper.

Self-Supervised Visual Representation Learning: Pretrain-Finetuning or Joint Training? iBOT: Image BERT Pre-Training with Online Tokenizer

Reference 80

Resolution: malformed identifier; no resolver link, observed 2026-08-02T05:58:48.847518Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 494f932c-4a66-478b-be6b-12310cc82d2e · inbound

Physical Self-Supervised Learning: IMU Sensing without Manual Labels cites this paper.

Physical Self-Supervised Learning: IMU Sensing without Manual Labels iBOT: Image BERT Pre-Training with Online Tokenizer

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-01T16:35:09.230173Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a04b0e0-78c5-4c00-b7ba-9d92ee2f28cb · inbound

Physical Self-Supervised Learning: IMU Sensing without Manual Labels cites this paper.

Physical Self-Supervised Learning: IMU Sensing without Manual Labels iBOT: Image BERT Pre-Training with Online Tokenizer

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-04T04:13:43.176835Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ea9a268-e319-4b50-9b30-2124dad99346 · inbound

DINOde: Continuous Vision-Text Alignment for Open-Vocabulary Semantic Segmentation cites this paper.

DINOde: Continuous Vision-Text Alignment for Open-Vocabulary Semantic Segmentation iBOT: Image BERT Pre-Training with Online Tokenizer

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-01T07:40:23.235845Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2a9ca10e-d118-463d-bc20-d306596aa41e · inbound

Foundation Models for Face Presentation Attack Detection: A Unified Linear-Probing Benchmark cites this paper.

Foundation Models for Face Presentation Attack Detection: A Unified Linear-Probing Benchmark iBOT: Image BERT Pre-Training with Online Tokenizer

Reference 67

Resolution: malformed identifier; no resolver link, observed 2026-07-30T14:40:48.937282Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 59b10be3-2125-4cfe-add4-38b292f677fc · inbound

Foundation Models for Face Presentation Attack Detection: A Unified Linear-Probing Benchmark cites this paper.

Foundation Models for Face Presentation Attack Detection: A Unified Linear-Probing Benchmark iBOT: Image BERT Pre-Training with Online Tokenizer

Reference 67

Resolution: malformed identifier; no resolver link, observed 2026-08-01T10:23:01.499644Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b864e253-3e15-4b29-ba0b-8b35dab9a3f5 · inbound

Harnessing Adversarial Distillation to Customise Debiased, Disease-Specific Pathology Foundation Models for Breast Cancer cites this paper.

Harnessing Adversarial Distillation to Customise Debiased, Disease-Specific Pathology Foundation Models for Breast Cancer iBOT: Image BERT Pre-Training with Online Tokenizer

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-06T00:21:09.860336Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.