Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-13T09:41:37.937046Z
Paper Citation Record · LEDGER
Vision Transformers Need Registers
As of 5 August 2026, this Paper Citation Record lists 100 of 300 outbound references and 100 inbound Pith citation observations for arXiv:2309.16588.
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 2026-08-04T06:34:03.388597+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-04T20:29:46.100727Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T02:28:24.338817Z
Reference resolution
100 of 300 outbound references displayed
- verified exact6
- verified fuzzy12
- unresolved62
- parse uncertain1
- malformed identifier0
- metadata mismatch19
External citation measurements
52
pith, observed 2026-08-05T02:28:24.338817Z
Outbound references
Observation eae6a8c7-bc23-46d1-81f8-089e47041a0b · outbound
This paper cites an unresolved cited work.
Vision Transformers Need Registers Unresolved cited work
Reference 1
- Resolution
- unresolved
- raw_fallback, observed 2026-05-13T09:42:33.683432Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation c17c40a9-5432-4b8a-9690-778d97a426bb · outbound
This paper cites an unresolved cited work.
Vision Transformers Need Registers Unresolved cited work
Reference 2
- Resolution
- unresolved
- raw_fallback, observed 2026-05-13T09:42:33.619308Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation a1b0f07f-ab34-41b3-9bb8-417fb5194bdc · outbound
This paper cites DINOv2: Learning Robust Visual Features without Supervision.
Vision Transformers Need Registers DINOv2: Learning Robust Visual Features without Supervision
Reference 3
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-13T09:41:38.090469Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 3852dc87-d0a5-4105-89bb-8159a07094ca · outbound
This paper cites something something.
Vision Transformers Need Registers something something
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T09:42:33.706505Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 4c190a17-5180-416f-9922-7a041c05554f · outbound
This paper cites The Kinetics Human Action Video Dataset.
Vision Transformers Need Registers The Kinetics Human Action Video Dataset
Reference 5
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-13T09:41:38.093477Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 859959f6-b6d5-4a12-8827-89f2a5ade99d · outbound
This paper cites UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild.
Vision Transformers Need Registers UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild
Reference 6
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-13T09:41:38.202896Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation b89f6960-d64b-4d8c-afe6-f750edb5aac6 · outbound
This paper cites an unresolved cited work.
Vision Transformers Need Registers Unresolved cited work
Reference 7
- Resolution
- unresolved
- raw_fallback, observed 2026-05-13T09:42:33.704886Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 7f562c71-d05d-4b22-9394-9b34a5c69a95 · outbound
This paper cites an unresolved cited work.
Vision Transformers Need Registers Unresolved cited work
Reference 8
- Resolution
- unresolved
- raw_fallback, observed 2026-05-13T09:42:33.743231Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 2b1824e9-6686-4297-b444-b98861a14ef4 · outbound
This paper cites Learning to Generate Reviews and Discovering Sentiment.
Vision Transformers Need Registers Learning to Generate Reviews and Discovering Sentiment
Reference 9
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-13T09:41:38.197474Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation a34fa7fc-fe62-42de-a263-89432bc7eb8e · outbound
This paper cites International Conference on Machine Learning , pages=.
Vision Transformers Need Registers International Conference on Machine Learning , pages=
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T09:42:33.755689Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 33ea026a-6250-4ffc-a0dd-798435fd68ef · outbound
This paper cites European conference on computer vision , pages=.
Vision Transformers Need Registers European conference on computer vision , pages=
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T09:42:33.688561Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation ca2c3588-ebc7-4d38-8890-8537505c5df8 · outbound
This paper cites ICCV , year=.
Vision Transformers Need Registers ICCV , year=
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T09:42:33.757360Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 12ed01ef-debf-4e65-b759-f64e670bc38d · outbound
This paper cites Object discovery and representation networks.
Vision Transformers Need Registers Object discovery and representation networks
Reference 13
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T09:41:38.125283Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 5c3886c3-6249-45c2-b382-bdde99aebd18 · outbound
This paper cites Billion-scale semi-supervised learning for image classification.
Vision Transformers Need Registers Billion-scale semi-supervised learning for image classification
Reference 14
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-13T09:41:38.150262Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 527c3422-2315-4ed5-932b-77c2d1f15290 · outbound
This paper cites Vision Models Are More Robust And Fair When Pretrained On Uncurated Images Without Supervision.
Vision Transformers Need Registers Vision Models Are More Robust And Fair When Pretrained On Uncurated Images Without Supervision
Reference 15
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-13T09:41:38.184117Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation cbab2ce5-f1aa-4f79-814b-946a6f01e0a0 · outbound
This paper cites an unresolved cited work.
Vision Transformers Need Registers Unresolved cited work
Reference 16
- Resolution
- unresolved
- raw_fallback, observed 2026-05-13T09:42:33.741555Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation f84b3313-ca17-4c41-bbe6-bb7e9985d32d · outbound
This paper cites an unresolved cited work.
Vision Transformers Need Registers Unresolved cited work
Reference 17
- Resolution
- unresolved
- raw_fallback, observed 2026-05-13T09:42:33.703247Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 48e14474-39d4-4789-9acf-ffd88fa57221 · outbound
This paper cites an unresolved cited work.
Vision Transformers Need Registers Unresolved cited work
Reference 18
- Resolution
- unresolved
- raw_fallback, observed 2026-05-13T09:42:33.732640Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 2485d2b2-0eae-45d5-a418-552f88e86002 · outbound
This paper cites ICLR , year=.
Vision Transformers Need Registers ICLR , year=
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T09:42:33.674853Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation b684354c-5cab-4789-aaf6-9158efc4af0a · outbound
This paper cites an unresolved cited work.
Vision Transformers Need Registers Unresolved cited work
Reference 20
- Resolution
- unresolved
- raw_fallback, observed 2026-05-13T09:42:33.717640Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation ccf9eeb1-6db7-4f73-975f-55e9ce108675 · outbound
This paper cites an unresolved cited work.
Vision Transformers Need Registers Unresolved cited work
Reference 21
- Resolution
- unresolved
- raw_fallback, observed 2026-05-13T09:42:33.730786Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 5b747c53-cf09-4251-83df-d6fdcad88874 · outbound
This paper cites an unresolved cited work.
Vision Transformers Need Registers Unresolved cited work
Reference 22
- Resolution
- unresolved
- raw_fallback, observed 2026-05-13T09:42:33.647443Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation f7dd6a91-8509-4f9e-9ce3-fc694541c63d · outbound
This paper cites Seed the Views: Hierarchical Semantic Alignment for Contrastive Representation Learning.
Vision Transformers Need Registers Seed the Views: Hierarchical Semantic Alignment for Contrastive Representation Learning
Reference 23
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-13T09:41:38.191803Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 84624366-01b9-46f9-b601-900ec4dc38a3 · outbound
This paper cites an unresolved cited work.
Vision Transformers Need Registers Unresolved cited work
Reference 24
- Resolution
- unresolved
- raw_fallback, observed 2026-05-13T09:42:33.684996Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 5b2e196b-7a15-4566-9639-354deab423ff · outbound
This paper cites an unresolved cited work.
Vision Transformers Need Registers Unresolved cited work
Reference 25
- Resolution
- unresolved
- raw_fallback, observed 2026-05-13T09:42:33.666787Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation d2e7c164-e946-44b2-b50e-34ff33637b78 · outbound
This paper cites OBoW: Online Bag-of-Visual-Words Generation for Self-Supervised Learning.
Vision Transformers Need Registers OBoW: Online Bag-of-Visual-Words Generation for Self-Supervised Learning
Reference 26
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-13T09:41:38.238800Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation f0f36ff2-307c-4fa6-9854-f32e98070fb8 · outbound
This paper cites MultiGrain: a unified image embedding for classes and instances.
Vision Transformers Need Registers MultiGrain: a unified image embedding for classes and instances
Reference 27
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T09:41:38.273953Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 3d2c6b68-dde3-402a-8a2a-aa3dceeeaa24 · outbound
This paper cites Mugs: A Multi-Granular Self-Supervised Learning Framework.
Vision Transformers Need Registers Mugs: A Multi-Granular Self-Supervised Learning Framework
Reference 28
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-13T09:41:38.289586Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation bb639a9f-956a-4757-9eb0-56a4218c5134 · outbound
This paper cites Communications of the ACM , volume=.
Vision Transformers Need Registers Communications of the ACM , volume=
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T09:42:33.708397Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation d655e7d1-2370-48eb-bee9-85cc8c32a840 · outbound
This paper cites an unresolved cited work.
Vision Transformers Need Registers Unresolved cited work
Reference 30
- Resolution
- unresolved
- raw_fallback, observed 2026-05-13T09:42:33.787760Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation bbf336ca-6b4f-4826-8801-b989cc7ea7c8 · outbound
This paper cites Concept Generalization in Visual Representation Learning.
Vision Transformers Need Registers Concept Generalization in Visual Representation Learning
Reference 31
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-13T09:41:38.118286Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 1d1303af-4297-4ec8-a4ab-dfa2e1f27555 · outbound
This paper cites an unresolved cited work.
Vision Transformers Need Registers Unresolved cited work
Reference 32
- Resolution
- unresolved
- raw_fallback, observed 2026-05-13T09:42:33.627597Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation f675229a-b066-4b99-8dbd-87ba7ed4421c · outbound
This paper cites an unresolved cited work.
Vision Transformers Need Registers Unresolved cited work
Reference 33
- Resolution
- unresolved
- raw_fallback, observed 2026-05-13T09:42:33.719291Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation cd5c2234-c1b1-42b0-9419-0ddd5080ebc7 · outbound
This paper cites an unresolved cited work.
Vision Transformers Need Registers Unresolved cited work
Reference 34
- Resolution
- unresolved
- raw_fallback, observed 2026-05-13T09:42:33.679865Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation ce7dc7c8-14b0-4d36-87b3-4d6a2d3e0014 · outbound
This paper cites an unresolved cited work.
Vision Transformers Need Registers Unresolved cited work
Reference 35
- Resolution
- unresolved
- raw_fallback, observed 2026-05-13T09:42:33.759184Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 8b3f4750-f9f4-466b-a690-79e0c5b249a7 · outbound
This paper cites an unresolved cited work.
Vision Transformers Need Registers Unresolved cited work
Reference 36
- Resolution
- unresolved
- raw_fallback, observed 2026-05-13T09:42:33.723212Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation eca7094f-125a-4c94-b1dc-63c298876ef3 · outbound
This paper cites an unresolved cited work.
Vision Transformers Need Registers Unresolved cited work
Reference 37
- Resolution
- unresolved
- raw_fallback, observed 2026-05-13T09:42:33.655373Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation acc5e171-64f3-431b-b163-fde77b341ce5 · outbound
This paper cites SimMIM: A Simple Framework for Masked Image Modeling.
Vision Transformers Need Registers SimMIM: A Simple Framework for Masked Image Modeling
Reference 38
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-13T09:41:38.236334Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 032cfbd7-9db3-44a5-87bd-5343731daf41 · outbound
This paper cites an unresolved cited work.
Vision Transformers Need Registers Unresolved cited work
Reference 39
- Resolution
- unresolved
- raw_fallback, observed 2026-05-13T09:42:33.746856Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 457d776f-3d26-47f6-8240-a8acb472a378 · outbound
This paper cites an unresolved cited work.
Vision Transformers Need Registers Unresolved cited work
Reference 40
- Resolution
- unresolved
- raw_fallback, observed 2026-05-13T09:42:33.773726Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 8bcb6af9-8c0d-4059-b0b5-d1764d3fe749 · outbound
This paper cites an unresolved cited work.
Vision Transformers Need Registers Unresolved cited work
Reference 41
- Resolution
- unresolved
- raw_fallback, observed 2026-05-13T09:42:33.780148Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 5bfe0c3d-ff10-4a68-ae14-a1b728f00ce8 · outbound
This paper cites With a Little Help from My Friends: Nearest-Neighbor Contrastive Learning of Visual Representations.
Vision Transformers Need Registers With a Little Help from My Friends: Nearest-Neighbor Contrastive Learning of Visual Representations
Reference 42
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T09:41:38.074371Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 71a9a203-eed2-4cdf-9ac8-6265ccd2e053 · outbound
This paper cites CCMatrix: Mining Billions of High-Quality Parallel Sentences on the WEB.
Vision Transformers Need Registers CCMatrix: Mining Billions of High-Quality Parallel Sentences on the WEB
Reference 43
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T09:41:38.087344Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 83cca4d8-8fcf-47b3-9780-9d47d66aca54 · outbound
This paper cites an unresolved cited work.
Vision Transformers Need Registers Unresolved cited work
Reference 44
- Resolution
- unresolved
- raw_fallback, observed 2026-05-13T09:42:33.781719Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation ad0867e0-3d05-4d8c-a184-db5231df000e · outbound
This paper cites an unresolved cited work.
Vision Transformers Need Registers Unresolved cited work
Reference 45
- Resolution
- unresolved
- raw_fallback, observed 2026-05-13T09:42:33.721599Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 737676d7-5035-4f80-a42b-5b8ecab532f6 · outbound
This paper cites SIAM journal on control and optimization , volume=.
Vision Transformers Need Registers SIAM journal on control and optimization , volume=
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T09:42:33.789578Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 0c8dc561-eb29-4992-b9b1-24057d46084f · outbound
This paper cites Asano and Christian Rupprecht and Andrew Zisserman and Andrea Vedaldi.
Vision Transformers Need Registers Asano and Christian Rupprecht and Andrew Zisserman and Andrea Vedaldi
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T09:42:33.786072Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 19ee667e-a12c-40f5-abac-f87f31983bb7 · outbound
This paper cites an unresolved cited work.
Vision Transformers Need Registers Unresolved cited work
Reference 48
- Resolution
- unresolved
- raw_fallback, observed 2026-05-13T09:42:33.701111Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation e5d6dc49-7926-415e-a7d8-ab1c8b38a876 · outbound
This paper cites an unresolved cited work.
Vision Transformers Need Registers Unresolved cited work
Reference 49
- Resolution
- unresolved
- raw_fallback, observed 2026-05-13T09:42:33.625218Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 2575c0b4-28d1-4dc1-8e08-67910c2f4d56 · outbound
This paper cites an unresolved cited work.
Vision Transformers Need Registers Unresolved cited work
Reference 50
- Resolution
- unresolved
- raw_fallback, observed 2026-05-13T09:42:33.659254Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 30f8c07b-fdad-4a53-921e-6d99e4493495 · outbound
This paper cites Are Large-scale Datasets Necessary for Self-Supervised Pre-training?.
Vision Transformers Need Registers Are Large-scale Datasets Necessary for Self-Supervised Pre-training?
Reference 51
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-13T09:41:38.194658Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 20261faa-bce6-486a-b66b-e66c98abefba · outbound
This paper cites an unresolved cited work.
Vision Transformers Need Registers Unresolved cited work
Reference 52
- Resolution
- unresolved
- raw_fallback, observed 2026-05-13T09:42:33.672532Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 2dfdefd2-5dcc-4ffd-aff2-d67915e73f45 · outbound
This paper cites an unresolved cited work.
Vision Transformers Need Registers Unresolved cited work
Reference 53
- Resolution
- unresolved
- raw_fallback, observed 2026-05-13T09:42:33.715631Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 2c4a0508-93c3-4520-9b11-64b9b01ee257 · outbound
This paper cites an unresolved cited work.
Vision Transformers Need Registers Unresolved cited work
Reference 54
- Resolution
- unresolved
- raw_fallback, observed 2026-05-13T09:42:33.739927Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 668adb15-db11-494d-b8d2-33ebc5b141b7 · outbound
This paper cites an unresolved cited work.
Vision Transformers Need Registers Unresolved cited work
Reference 55
- Resolution
- parse uncertain
- raw_fallback, observed 2026-05-13T09:42:33.645642Z
Source-reported events for the cited work
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Observation 3d146861-c72a-4e03-8cbe-6e256bb37de8 · outbound
This paper cites Large Batch Training of Convolutional Networks.
Vision Transformers Need Registers Large Batch Training of Convolutional Networks
Reference 56
- Resolution
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Source-reported events for the cited work
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Observation d369337b-0ad6-479b-bacd-48ebdaa5df46 · outbound
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Vision Transformers Need Registers Cyanure: An Open-Source Toolbox for Empirical Risk Minimization for Python, C++, and soon more
Reference 57
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 29ccf748-14ab-4f76-b11e-56c549f3c838 · outbound
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Reference 58
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation bc73bb38-782b-4980-93a5-3b7725cc296b · outbound
This paper cites an unresolved cited work.
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Reference 59
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 60d86d14-bc11-4810-a5f8-abccf5e88ac2 · outbound
This paper cites an unresolved cited work.
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Reference 60
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation f321311d-97ed-41fb-aad6-a45d68ecd2d7 · outbound
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Reference 61
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation e641d66c-c5a9-48a4-a0dd-5be06c557d97 · outbound
This paper cites an unresolved cited work.
Vision Transformers Need Registers Unresolved cited work
Reference 62
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 73b33aad-de45-4d4b-a519-8e0519c93498 · outbound
This paper cites an unresolved cited work.
Vision Transformers Need Registers Unresolved cited work
Reference 63
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation b1b6ff36-cd08-431c-9a3d-c47dd8d5c5aa · outbound
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Vision Transformers Need Registers Proceedings of the IEEE/CVF International Conference on Computer Vision , pages=
Reference 64
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation c17bcdd0-5a22-41ee-a874-4255fcafeabd · outbound
This paper cites an unresolved cited work.
Vision Transformers Need Registers Unresolved cited work
Reference 65
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 94bf5dc8-9407-4b40-a433-8f57b0de3d77 · outbound
This paper cites an unresolved cited work.
Vision Transformers Need Registers Unresolved cited work
Reference 66
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 6ce89383-0f20-4348-a82d-be684dd9c40a · outbound
This paper cites an unresolved cited work.
Vision Transformers Need Registers Unresolved cited work
Reference 67
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 379a58fa-7461-4d7c-924d-ae0960b16abd · outbound
This paper cites an unresolved cited work.
Vision Transformers Need Registers Unresolved cited work
Reference 68
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 26020421-cf3b-4d66-a46d-8852e0fef232 · outbound
This paper cites an unresolved cited work.
Vision Transformers Need Registers Unresolved cited work
Reference 69
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 79603806-9bad-42fa-9aca-c90ae5aa7dc2 · outbound
This paper cites an unresolved cited work.
Vision Transformers Need Registers Unresolved cited work
Reference 70
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 65ef7f8e-fbeb-41bd-b114-048b097761d0 · outbound
This paper cites an unresolved cited work.
Vision Transformers Need Registers Unresolved cited work
Reference 71
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation b534552a-3c4c-4cfc-aa2a-b312cbaef170 · outbound
This paper cites an unresolved cited work.
Vision Transformers Need Registers Unresolved cited work
Reference 72
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 861f649e-a390-4a2e-b5a1-7c199017a782 · outbound
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Vision Transformers Need Registers NAACL , year=
Reference 73
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation ce798540-d1b0-4cbd-b4b1-1e8c5ba8d8f6 · outbound
This paper cites wav2vec: Unsupervised Pre-training for Speech Recognition.
Vision Transformers Need Registers wav2vec: Unsupervised Pre-training for Speech Recognition
Reference 74
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation c6b8d9ad-b9cd-4925-bbb9-beb7ce7485f6 · outbound
This paper cites an unresolved cited work.
Vision Transformers Need Registers Unresolved cited work
Reference 75
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 01cd0168-3018-4e67-9444-aed973207b02 · outbound
This paper cites an unresolved cited work.
Vision Transformers Need Registers Unresolved cited work
Reference 76
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation ed2fa4ea-3c0f-4c50-a3dc-3ff62b481fc9 · outbound
This paper cites an unresolved cited work.
Vision Transformers Need Registers Unresolved cited work
Reference 77
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation b22af351-57a9-4390-b2ed-0a9a3dc36c00 · outbound
This paper cites Exploring Target Representations for Masked Autoencoders.
Vision Transformers Need Registers Exploring Target Representations for Masked Autoencoders
Reference 78
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation fbd2095e-a186-432f-8f44-a6ab31cc6ba8 · outbound
This paper cites PeCo: Perceptual Codebook for BERT Pre-training of Vision Transformers.
Vision Transformers Need Registers PeCo: Perceptual Codebook for BERT Pre-training of Vision Transformers
Reference 79
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 11c56dde-9102-47dd-b5c9-a5eacf464a43 · outbound
This paper cites an unresolved cited work.
Vision Transformers Need Registers Unresolved cited work
Reference 80
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 194d5900-267b-418c-9f74-6cae2540e819 · outbound
This paper cites an unresolved cited work.
Vision Transformers Need Registers Unresolved cited work
Reference 81
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation ef1f27c5-c505-4d2d-b1db-91ff9724b30b · outbound
This paper cites Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer.
Vision Transformers Need Registers Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
Reference 82
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 6b378cb2-b700-4d78-a27c-9015d0167602 · outbound
This paper cites an unresolved cited work.
Vision Transformers Need Registers Unresolved cited work
Reference 83
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 59aa5d80-3c23-4f7b-bcfc-ade90cb6f2ae · outbound
This paper cites an unresolved cited work.
Vision Transformers Need Registers Unresolved cited work
Reference 84
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 401dac25-bd99-4531-95fa-8830da623aa0 · outbound
This paper cites an unresolved cited work.
Vision Transformers Need Registers Unresolved cited work
Reference 85
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 87a07e15-0d86-401c-9854-d45b0f937cf3 · outbound
This paper cites an unresolved cited work.
Vision Transformers Need Registers Unresolved cited work
Reference 86
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation dbd70af3-2ed4-4046-97bc-64993a12d372 · outbound
This paper cites Efficient Visual Pretraining with Contrastive Detection.
Vision Transformers Need Registers Efficient Visual Pretraining with Contrastive Detection
Reference 87
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation a6d8987b-6cf5-457d-9781-e58c999bd606 · outbound
This paper cites an unresolved cited work.
Vision Transformers Need Registers Unresolved cited work
Reference 88
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 902ffa79-249e-4d2e-ab7b-37792217b0f7 · outbound
This paper cites an unresolved cited work.
Vision Transformers Need Registers Unresolved cited work
Reference 89
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 6ea2287c-4b56-47d1-955b-952b54c14657 · outbound
This paper cites EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks.
Vision Transformers Need Registers EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
Reference 90
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation eb1c8a06-acf5-40da-b0cc-c017c82061cf · outbound
This paper cites an unresolved cited work.
Vision Transformers Need Registers Unresolved cited work
Reference 91
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation a650b119-b653-4a65-96fa-2e7460b14f5e · outbound
This paper cites VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning.
Vision Transformers Need Registers VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning
Reference 92
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 4cc078d1-3a7b-477f-adb2-0147810d95f1 · outbound
This paper cites International Conference on Machine Learning , year=.
Vision Transformers Need Registers International Conference on Machine Learning , year=
Reference 93
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 310194cb-e3f2-4f86-ba88-21d86b303845 · outbound
This paper cites an unresolved cited work.
Vision Transformers Need Registers Unresolved cited work
Reference 94
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation ade9f96e-5f2e-425e-b75e-f184f16440f0 · outbound
This paper cites an unresolved cited work.
Vision Transformers Need Registers Unresolved cited work
Reference 95
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation bef4cf64-48f8-4325-8f9d-098c806e095e · outbound
This paper cites an unresolved cited work.
Vision Transformers Need Registers Unresolved cited work
Reference 96
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 9b686d45-c727-418e-b847-94f45c6b5c95 · outbound
This paper cites Vincent and H.
Vision Transformers Need Registers Vincent and H
Reference 97
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 24bd5c74-aab4-48bf-be2e-6f3cc9df8008 · outbound
This paper cites an unresolved cited work.
Vision Transformers Need Registers Unresolved cited work
Reference 98
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 6963ad50-b76a-407a-8173-f3ce6d59653a · outbound
This paper cites an unresolved cited work.
Vision Transformers Need Registers Unresolved cited work
Reference 99
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation d14c6643-4ac0-4576-ba97-38f8efc3b07a · outbound
This paper cites an unresolved cited work.
Vision Transformers Need Registers Unresolved cited work
Reference 100
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Pith citing papers
Observation 2f33a00c-25d4-4aa8-8323-1a02cbf71019 · inbound
Massive Activations in Large Language Models cites this paper.
Massive Activations in Large Language Models Vision Transformers Need Registers
Reference 114
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 0d8047e9-b9c3-4bb4-b221-dc9a9df958fa · inbound
ReKep: Spatio-Temporal Reasoning of Relational Keypoint Constraints for Robotic Manipulation cites this paper.
ReKep: Spatio-Temporal Reasoning of Relational Keypoint Constraints for Robotic Manipulation Vision Transformers Need Registers
Reference 137
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation e3947546-87fe-426a-a0fd-7e2617482e21 · inbound
When Attention Sink Emerges in Language Models: An Empirical View cites this paper.
When Attention Sink Emerges in Language Models: An Empirical View Vision Transformers Need Registers
Reference 7
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation e305e4cb-e195-4a41-8417-0657d1a9265e · inbound
Movie Gen: A Cast of Media Foundation Models cites this paper.
Movie Gen: A Cast of Media Foundation Models Vision Transformers Need Registers
Reference 12
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation eaa1474b-deed-47c1-ab9e-3ccd6599f79c · inbound
Primus: Enforcing Attention Usage for 3D Medical Image Segmentation cites this paper.
Primus: Enforcing Attention Usage for 3D Medical Image Segmentation Vision Transformers Need Registers
Reference 15
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 94c1d6b0-5792-40ac-b6f9-58627ad7fd48 · inbound
Gated Attention for Large Language Models: Non-linearity, Sparsity, and Attention-Sink-Free cites this paper.
Gated Attention for Large Language Models: Non-linearity, Sparsity, and Attention-Sink-Free Vision Transformers Need Registers
Reference 8
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 7faadb5e-1c1b-4c73-9c13-8bfc5b5ab302 · inbound
Spatial-MLLM: Boosting MLLM Capabilities in Visual-based Spatial Intelligence cites this paper.
Spatial-MLLM: Boosting MLLM Capabilities in Visual-based Spatial Intelligence Vision Transformers Need Registers
Reference 57
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 4270c8f4-a6aa-4229-9d88-226d488286d5 · inbound
Spatial-MLLM: Boosting MLLM Capabilities in Visual-based Spatial Intelligence cites this paper.
Spatial-MLLM: Boosting MLLM Capabilities in Visual-based Spatial Intelligence Vision Transformers Need Registers
Reference 57
- Resolution
- verified exact
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation c712f865-d175-4ce4-8e13-077e7f975fb1 · inbound
FOCUS: Fused Observation of Channels for Unveiling Spectra cites this paper.
FOCUS: Fused Observation of Channels for Unveiling Spectra Vision Transformers Need Registers
Reference 9
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation ae4ef0fc-8ca3-4d7a-8b8e-4821f7c570da · inbound
ViewSparsifier: Killing Redundancy in Multi-View Plant Phenotyping cites this paper.
ViewSparsifier: Killing Redundancy in Multi-View Plant Phenotyping Vision Transformers Need Registers
Reference 22
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fedc6a8e-680a-4bb1-804a-ddc867ff4885 · inbound
Training Agents Inside of Scalable World Models cites this paper.
Training Agents Inside of Scalable World Models Vision Transformers Need Registers
Reference 25
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation cad761b9-5fde-4123-ae43-9e55ac3f92c0 · inbound
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Mixing Configurations for Downstream Prediction Vision Transformers Need Registers
Reference 16
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Observation 98d2b55b-8536-4c43-88fb-a92aeedec2ca · inbound
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TabPFN-2.5: Advancing the State of the Art in Tabular Foundation Models Vision Transformers Need Registers
Reference 22
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation f339132d-79fc-470f-8da2-d0ea740fbe41 · inbound
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{\Phi}eat: Physically Grounded Material Feature Representation Vision Transformers Need Registers
Reference 15
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 40a4dc31-3930-41fe-97c2-cdda882c6058 · inbound
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Attention Grounded Enhancement for Visual Document Retrieval Vision Transformers Need Registers
Reference 10
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 2489931e-25b4-4a7a-821b-03dd6d39e456 · inbound
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RADSeg: Unleashing Parameter and Compute Efficient Zero-Shot Open-Vocabulary Segmentation Using Agglomerative Models Vision Transformers Need Registers
Reference 9
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation f267d52c-f12a-414b-ba2d-32f6cd7e64ee · inbound
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Multi-view Pyramid Transformer: Look Coarser to See Broader Vision Transformers Need Registers
Reference 15
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Source-reported events for the cited work
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Observation 6d39280f-8cca-445c-8d14-6362f986d115 · inbound
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REGLUE Your Latents with Global and Local Semantics for Entangled Diffusion Vision Transformers Need Registers
Reference 14
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Source-reported events for the cited work
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Observation 29207bb0-d855-4124-a7d8-41ced0cd35de · inbound
SigLino: Efficient Multi-Teacher Distillation for Agglomerative Vision Foundation Models cites this paper.
SigLino: Efficient Multi-Teacher Distillation for Agglomerative Vision Foundation Models Vision Transformers Need Registers
Reference 6
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 51df2cfd-002a-4a9a-b806-4aa2f146e61a · inbound
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LTX-2: Efficient Joint Audio-Visual Foundation Model Vision Transformers Need Registers
Reference 4
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation c1b7200c-2e27-405f-97c9-d69808dc5286 · inbound
Xray-Visual Models: Scaling Vision models on Industry Scale Data cites this paper.
Xray-Visual Models: Scaling Vision models on Industry Scale Data Vision Transformers Need Registers
Reference 11
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4a75ea04-e6e6-418f-ab5b-df837dc59d46 · inbound
Vision Transformers Need More Than Registers cites this paper.
Vision Transformers Need More Than Registers Vision Transformers Need Registers
Reference 5
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 5ae0bc6b-f9b7-4a0a-8a05-75bdf3f5adee · inbound
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InCoM: Intent-Driven Perception and Structured Coordination for Mobile Manipulation Vision Transformers Need Registers
Reference 44
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 72366473-0eb4-4c61-838f-cd0d75eecda4 · inbound
InCoM: Intent-Driven Perception and Structured Coordination for Mobile Manipulation cites this paper.
InCoM: Intent-Driven Perception and Structured Coordination for Mobile Manipulation Vision Transformers Need Registers
Reference 41
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4de80917-6a86-4df9-851e-09730e98b052 · inbound
Specialization of softmax attention heads: insights from the high-dimensional single-location model cites this paper.
Specialization of softmax attention heads: insights from the high-dimensional single-location model Vision Transformers Need Registers
Reference 29
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 432c01f1-a11d-404a-ba83-45304bb508ac · 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 Vision Transformers Need Registers
Reference 5
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 939e5218-d2bb-4fcb-bce1-2b44f2d3d2a7 · inbound
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AccelAes: Accelerating Diffusion Transformers for Training-Free Aesthetic-Enhanced Image Generation Vision Transformers Need Registers
Reference 7
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 92dfd072-2f23-4c29-9a3d-3c150e999d4f · inbound
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Human-like Object Grouping in Self-supervised Vision Transformers Vision Transformers Need Registers
Reference 9
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bfb88d95-a3a9-477a-aded-f20c0ce55f1a · inbound
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The Role of Initialization in 3D Gaussian Splatting Vision Transformers Need Registers
Reference 8
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 2c6d7dd9-844f-437a-ae7c-53addc496cb0 · inbound
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The Role of Initialization in 3D Gaussian Splatting Vision Transformers Need Registers
Reference 8
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c5fa7aa8-b1ff-4b96-870d-d778e081779d · inbound
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Low-Frequency Stochastic Gravitational-Wave Background in Gaia DR3 catalog Vision Transformers Need Registers
Reference 13
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ffac0611-5601-48d8-ae0d-c09b5edeb9f8 · inbound
Generative Event Pretraining with Foundation Model Alignment cites this paper.
Generative Event Pretraining with Foundation Model Alignment Vision Transformers Need Registers
Reference 8
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 60d9870c-32b4-4a80-bce6-375ac1ed8dd2 · inbound
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Revisiting Human-in-the-Loop Object Retrieval with Pre-Trained Vision Transformers Vision Transformers Need Registers
Reference 8
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 589c181e-2d39-404f-925d-21ff8cee4a88 · inbound
Learning Robust Visual Features in Computed Tomography Enables Efficient Transfer Learning for Clinical Tasks cites this paper.
Learning Robust Visual Features in Computed Tomography Enables Efficient Transfer Learning for Clinical Tasks Vision Transformers Need Registers
Reference 28
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation ec6a9b5a-840c-48db-9d04-b51a6725132f · inbound
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Beyond Semantics: Disentangling Information Scope in Sparse Autoencoders for CLIP Vision Transformers Need Registers
Reference 8
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 1aec500a-a39c-4f8d-b6d3-17d1dfb0546e · inbound
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Q-Zoom: Query-Aware Adaptive Perception for Efficient Multimodal Large Language Models Vision Transformers Need Registers
Reference 65
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation b76ea7f7-f432-4ab1-9eb8-3dc15274d828 · inbound
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OVS-DINO: Open-Vocabulary Segmentation via Structure-Aligned SAM-DINO with Language Guidance Vision Transformers Need Registers
Reference 11
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 4c36e5f1-da26-4cad-95c1-47366294af82 · inbound
Enhancing event reconstruction for $\gamma$-ray particle detector arrays using transformers cites this paper.
Enhancing event reconstruction for $\gamma$-ray particle detector arrays using transformers Vision Transformers Need Registers
Reference 38
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation da3c9acf-595e-4f69-8841-d7c26559baec · inbound
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Why Training-Free Token Reduction Collapses: The Inherent Instability of Pairwise Scoring Signals Vision Transformers Need Registers
Reference 12
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation b847b469-0a50-4128-a2f7-272b3e2a28c6 · inbound
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OFlow: Injecting Object-Aware Temporal Flow Matching for Robust Robotic Manipulation Vision Transformers Need Registers
Reference 16
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 9f3cf770-1fda-4193-93e6-44f209dea010 · inbound
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OmniMouse: Scaling properties of multi-modal, multi-task Brain Models on 150B Neural Tokens Vision Transformers Need Registers
Reference 106
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 9429aed7-8676-48d3-b7fc-0faba39b55cd · inbound
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Self-supervised pretraining for an iterative image size agnostic vision transformer Vision Transformers Need Registers
Reference 15
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 057f20f7-f763-4185-957c-66efdcc7bfdd · inbound
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Sink-Token-Aware Pruning for Fine-Grained Video Understanding in Efficient Video LLMs Vision Transformers Need Registers
Reference 7
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 63cd4505-e56e-474e-8432-6a301ed27497 · inbound
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Uni-Encoder Meets Multi-Encoders: Representation Before Fusion for Brain Tumor Segmentation with Missing Modalities Vision Transformers Need Registers
Reference 12
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation d6a43bf8-6a07-4ad9-a2c3-4a37384a8a83 · inbound
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LearnPruner: Rethinking Attention-based Token Pruning in Vision Language Models Vision Transformers Need Registers
Reference 5
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 2afc5f0d-8a80-442f-ba4f-d057d90ef7e9 · inbound
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RTPrune: Reading-Twice Inspired Token Pruning for Efficient DeepSeek-OCR Inference Vision Transformers Need Registers
Reference 32
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation d869dd08-d4aa-4867-8dda-7d0ee3e2ce52 · inbound
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Let ViT Speak: Generative Language-Image Pre-training Vision Transformers Need Registers
Reference 16
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation a8b5662e-e6c6-4c73-a2a9-f222fd4b9ceb · inbound
Let ViT Speak: Generative Language-Image Pre-training cites this paper.
Let ViT Speak: Generative Language-Image Pre-training Vision Transformers Need Registers
Reference 16
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 70d68d4d-eeab-4d94-85d0-c0e620dd5dd3 · inbound
Colinearity Decay: Training Quantization-Friendly ViTs with Outlier Decay cites this paper.
Colinearity Decay: Training Quantization-Friendly ViTs with Outlier Decay Vision Transformers Need Registers
Reference 28
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 8ffc3a46-90b1-432b-8f3a-c6f8ddace791 · inbound
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Revisiting Graph-Tokenizing Large Language Models: A Systematic Evaluation of Graph Token Understanding Vision Transformers Need Registers
Reference 2
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation f0b93201-9acf-46e0-ba3d-67fdfe601840 · inbound
Taming Outlier Tokens in Diffusion Transformers cites this paper.
Taming Outlier Tokens in Diffusion Transformers Vision Transformers Need Registers
Reference 5
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 8ca08f58-ed15-4439-881b-f7c05bf58c1f · 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 Vision Transformers Need Registers
Reference 15
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 1a2ee4ab-5108-44ef-956b-e7098ca0fc99 · inbound
The two clocks and the innovation window: When and how generative models learn rules cites this paper.
The two clocks and the innovation window: When and how generative models learn rules Vision Transformers Need Registers
Reference 4
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Source-reported events for the cited work
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Observation 1eef458a-9007-462a-815d-d8b6078acd21 · inbound
Elastic Attention Cores for Scalable Vision Transformers cites this paper.
Elastic Attention Cores for Scalable Vision Transformers Vision Transformers Need Registers
Reference 136
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 6d24baeb-ec49-4561-8e21-c333be444e16 · inbound
WriteSAE: Sparse Autoencoders for Recurrent State cites this paper.
WriteSAE: Sparse Autoencoders for Recurrent State Vision Transformers Need Registers
Reference 47
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 6b6344e8-6e2f-4907-981b-7c8a3e3ae898 · inbound
WriteSAE: Sparse Autoencoders for Recurrent State cites this paper.
WriteSAE: Sparse Autoencoders for Recurrent State Vision Transformers Need Registers
Reference 47
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 2c008475-55e2-4513-b057-247b77284424 · inbound
WriteSAE: Sparse Autoencoders for Recurrent State cites this paper.
WriteSAE: Sparse Autoencoders for Recurrent State Vision Transformers Need Registers
Reference 47
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation a73d089e-8d75-479a-aabd-07aa0c7e2ee5 · inbound
Can Visual Mamba Improve AI-Generated Image Detection? An In-Depth Investigation cites this paper.
Can Visual Mamba Improve AI-Generated Image Detection? An In-Depth Investigation Vision Transformers Need Registers
Reference 14
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation d3aa1d74-57b0-4100-948f-ced9bc613da5 · inbound
HyperDiT: Hyper-Connected Transformers for High-Fidelity Pixel-Space Diffusion cites this paper.
HyperDiT: Hyper-Connected Transformers for High-Fidelity Pixel-Space Diffusion Vision Transformers Need Registers
Reference 10
- Resolution
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- local_arxiv, observed 2026-05-20T19:08:54.013773Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation b74a338d-5e5e-4621-9616-3f46a2a49996 · inbound
HyperDiT: Hyper-Connected Transformers for High-Fidelity Pixel-Space Diffusion cites this paper.
HyperDiT: Hyper-Connected Transformers for High-Fidelity Pixel-Space Diffusion Vision Transformers Need Registers
Reference 10
- Resolution
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- local_arxiv, observed 2026-06-30T19:35:01.014568Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation ff29d53f-7e02-4ebe-b569-ca191d97362b · inbound
Registers Matter for Pixel-Space Diffusion Transformers cites this paper.
Registers Matter for Pixel-Space Diffusion Transformers Vision Transformers Need Registers
Reference 12
- Resolution
- verified exact
- local_arxiv, observed 2026-05-20T19:08:54.050217Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 99978f8e-3d13-403f-9dde-479d8181a26c · inbound
Mutual Enhancement Between Global Tokens and Patch Tokens: From Theory to Practice cites this paper.
Mutual Enhancement Between Global Tokens and Patch Tokens: From Theory to Practice Vision Transformers Need Registers
Reference 72
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation e99b09b9-7cc7-45f6-be0b-4e04423cec23 · inbound
Nonlinear Bipolar Compensation: Handling Outliers in Post-Training Quantization cites this paper.
Nonlinear Bipolar Compensation: Handling Outliers in Post-Training Quantization Vision Transformers Need Registers
Reference 23
- Resolution
- verified exact
- local_arxiv, observed 2026-05-20T20:59:01.888495Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 6b3805fe-2975-4f71-a9a5-9de821c64654 · inbound
TTE-Flash: Accelerating Reasoning-based Multimodal Representations via Think-Then-Embed Tokens cites this paper.
TTE-Flash: Accelerating Reasoning-based Multimodal Representations via Think-Then-Embed Tokens Vision Transformers Need Registers
Reference 36
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-20T18:03:36.949416Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 8f755ae6-2d2d-4906-8684-fbc965779af7 · inbound
EVA01: Unified Native 3D Understanding and Generation via Mixture-of-Transformers cites this paper.
EVA01: Unified Native 3D Understanding and Generation via Mixture-of-Transformers Vision Transformers Need Registers
Reference 11
- Resolution
- verified exact
- local_arxiv, observed 2026-05-19T21:27:47.806851Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation b9bfbb4f-1db2-49bd-9bbc-7ca5cd2704d4 · inbound
Vision Foundation Models as Generalist Tokenizers for Image Generation cites this paper.
Vision Foundation Models as Generalist Tokenizers for Image Generation Vision Transformers Need Registers
Reference 14
- Resolution
- verified exact
- local_arxiv, observed 2026-05-20T11:03:13.547925Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 2ce65cf0-171a-415d-afa5-6c9e02d9a9df · inbound
TIGER-FG: Text-Guided Implicit Fine-Grained Grounding for E-commerce Retrieval cites this paper.
TIGER-FG: Text-Guided Implicit Fine-Grained Grounding for E-commerce Retrieval Vision Transformers Need Registers
Reference 4
- Resolution
- verified exact
- local_arxiv, observed 2026-05-19T23:57:53.235386Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 3b6653ba-bd2a-497d-933f-dfb37ce90bff · inbound
PIXLRelight: Controllable Relighting via Intrinsic Conditioning cites this paper.
PIXLRelight: Controllable Relighting via Intrinsic Conditioning Vision Transformers Need Registers
Reference 8
- Resolution
- verified exact
- local_arxiv, observed 2026-05-20T11:13:13.328976Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 57a22011-9338-4d76-bd43-ac5a1537e486 · inbound
Deep Neural Sheaf Diffusion cites this paper.
Deep Neural Sheaf Diffusion Vision Transformers Need Registers
Reference 7
- Resolution
- verified exact
- local_arxiv, observed 2026-05-20T12:13:16.456148Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation b8df263d-f881-4024-b98c-b62e8d7690ac · inbound
Deep Neural Sheaf Diffusion cites this paper.
Deep Neural Sheaf Diffusion Vision Transformers Need Registers
Reference 7
- Resolution
- verified exact
- local_arxiv, observed 2026-06-30T18:25:00.114832Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation b2b0cf49-b8e9-4a4f-b8e8-64dc73dff85b · 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 Vision Transformers Need Registers
Reference 8
- Resolution
- verified exact
- local_arxiv, observed 2026-05-20T06:48:05.605404Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 9c36fe0b-c16d-44a6-94f2-287ffae2eff6 · inbound
Cross-View Splatter: Feed-Forward View Synthesis with Georeferenced Images cites this paper.
Cross-View Splatter: Feed-Forward View Synthesis with Georeferenced Images Vision Transformers Need Registers
Reference 12
- Resolution
- verified exact
- local_arxiv, observed 2026-05-20T06:18:05.370477Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 58374028-3efa-4a3c-a68a-9f8c6544494b · 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 Vision Transformers Need Registers
Reference 4
- Resolution
- verified exact
- local_arxiv, observed 2026-05-22T07:51:15.582025Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation b79fdc5d-7ec8-4473-81c9-caf2d384de8d · 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 Vision Transformers Need Registers
Reference 4
- Resolution
- verified exact
- local_arxiv, observed 2026-05-25T06:20:24.464451Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 173cb154-6cc9-4c15-abb8-387ca3ba3652 · inbound
Dual Prototype-Conditioned Diffusion Model for Scalable Multi-Class Unsupervised Anomaly Detection in Large Category Spaces cites this paper.
Dual Prototype-Conditioned Diffusion Model for Scalable Multi-Class Unsupervised Anomaly Detection in Large Category Spaces Vision Transformers Need Registers
Reference 49
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-06-30T13:54:44.023957Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation c45a0661-eb0d-4173-bf60-f9222a300b57 · inbound
SplitAvatar: One-shot Head Avatar with Autoregressive Gaussian Splitting cites this paper.
SplitAvatar: One-shot Head Avatar with Autoregressive Gaussian Splitting Vision Transformers Need Registers
Reference 9
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-06-29T23:04:00.973141Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation f62f2289-d948-41dc-ac85-4f5febfaa070 · 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 Vision Transformers Need Registers
Reference 9
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-06-29T13:53:28.977044Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 87f6d356-901d-47ac-86a3-b9b3643b7449 · inbound
Unsupervised Morphological Characterization of Gravitational-Wave Glitches in LIGO O4a Using Frozen DINOv2 Features cites this paper.
Unsupervised Morphological Characterization of Gravitational-Wave Glitches in LIGO O4a Using Frozen DINOv2 Features Vision Transformers Need Registers
Reference 4
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-06-29T10:03:17.192323Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation e0b9316e-4d31-4fcb-9093-7b1da66a9b31 · inbound
Unsupervised Semantic Segmentation Facilitates Model Understanding cites this paper.
Unsupervised Semantic Segmentation Facilitates Model Understanding Vision Transformers Need Registers
Reference 9
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-06-29T08:43:15.478811Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 6c7d1e78-e592-4887-bcc9-c21414f43ecf · inbound
Unsupervised Semantic Segmentation Facilitates Model Understanding cites this paper.
Unsupervised Semantic Segmentation Facilitates Model Understanding Vision Transformers Need Registers
Reference 9
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-04T00:39:16.405091Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 7b0610dd-3d37-4754-b3ab-20754545e9df · inbound
Fixed-Point Masked Generative Modeling cites this paper.
Fixed-Point Masked Generative Modeling Vision Transformers Need Registers
Reference 11
- Resolution
- verified exact
- local_arxiv, observed 2026-06-28T23:22:47.229554Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 88d0d02d-c138-4f47-8430-68ab263f82b2 · inbound
When Graph Tokens Sink: A Mechanistic Analysis of Graph Language Models cites this paper.
When Graph Tokens Sink: A Mechanistic Analysis of Graph Language Models Vision Transformers Need Registers
Reference 12
- Resolution
- verified exact
- local_arxiv, observed 2026-07-02T01:56:27.478184Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation dd7658b1-6b47-4395-8d76-efcc55ca3a78 · inbound
Beyond Compression: Quantifying Spectral Accessibility in Vision Representations cites this paper.
Beyond Compression: Quantifying Spectral Accessibility in Vision Representations Vision Transformers Need Registers
Reference 4
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-02T02:46:27.711633Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 0f29aea2-d5f9-40dc-ae07-1a86adc5db97 · inbound
Latent Anchor-Driven Test Generation for Deep Neural Networks cites this paper.
Latent Anchor-Driven Test Generation for Deep Neural Networks Vision Transformers Need Registers
Reference 43
- Resolution
- verified exact
- local_arxiv, observed 2026-07-02T06:06:41.165643Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation d1941563-5a36-48db-815d-6e4f3ea06f9f · inbound
Sensitivity Limits and Operational Threshold Calibration for DINOv2-based Gravitational-Wave Glitch Characterization: A Strain-Domain Mock Data Challenge on LIGO O4a cites this paper.
Sensitivity Limits and Operational Threshold Calibration for DINOv2-based Gravitational-Wave Glitch Characterization: A Strain-Domain Mock Data Challenge on LIGO O4a Vision Transformers Need Registers
Reference 4
- Resolution
- verified exact
- local_arxiv, observed 2026-07-02T15:47:06.263944Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 0f6300ba-4bc4-4a69-b0e6-42f86832b9d5 · inbound
AdaTok: Self-Budgeting Image Tokenization with Quality-Preserving Dynamic Tokens cites this paper.
AdaTok: Self-Budgeting Image Tokenization with Quality-Preserving Dynamic Tokens Vision Transformers Need Registers
Reference 49
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-02T16:27:09.136023Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 1519cd79-f9be-439e-aa32-a2d2b5190247 · inbound
Contribution Weights: A Geometrical Analysis of Self-Attention Transformers cites this paper.
Contribution Weights: A Geometrical Analysis of Self-Attention Transformers Vision Transformers Need Registers
Reference 12
- Resolution
- verified exact
- local_arxiv, observed 2026-06-28T23:32:46.701935Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation a32e336f-3039-4b31-88ae-cc8721a856da · inbound
Contribution Weights: A Geometrical Analysis of Self-Attention Transformers cites this paper.
Contribution Weights: A Geometrical Analysis of Self-Attention Transformers Vision Transformers Need Registers
Reference 151
- Resolution
- verified exact
- local_arxiv, observed 2026-06-28T23:32:47.332450Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation cf7e6f98-6f24-4547-9dfd-934e1c80a0f7 · inbound
Self-Supervised Vision Transformers for CBCT-Based Detection of Temporomandibular Joint Osteoarthritis cites this paper.
Self-Supervised Vision Transformers for CBCT-Based Detection of Temporomandibular Joint Osteoarthritis Vision Transformers Need Registers
Reference 9
- Resolution
- verified exact
- local_arxiv, observed 2026-07-02T21:37:25.258643Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 3ddd1fc7-197d-4966-bbbe-83e88c683da9 · inbound
Patch-Level DINOv2 Scoring for Gravitational-Wave Glitch Detection: Breaking the Signal Dilution Barrier via Vector-Quantized Local Feature Indexing cites this paper.
Patch-Level DINOv2 Scoring for Gravitational-Wave Glitch Detection: Breaking the Signal Dilution Barrier via Vector-Quantized Local Feature Indexing Vision Transformers Need Registers
Reference 4
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-02T23:47:28.342849Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 20b7057f-8ff8-4448-b994-ee69a430d049 · inbound
GHOST: Hierarchical Sub-Goal Policies for Generalizing Robot Manipulation cites this paper.
GHOST: Hierarchical Sub-Goal Policies for Generalizing Robot Manipulation Vision Transformers Need Registers
Reference 8
- Resolution
- verified exact
- local_arxiv, observed 2026-07-03T02:07:33.560108Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 6597b181-71da-494e-8dfd-a86f64adc78d · inbound
Contrastive Action-Image Pre-training for Visuomotor Control cites this paper.
Contrastive Action-Image Pre-training for Visuomotor Control Vision Transformers Need Registers
Reference 52
- Resolution
- verified exact
- local_arxiv, observed 2026-07-03T18:08:46.884288Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation cbeb1979-017f-442d-bb0f-13e72918d9a4 · inbound
Polarisation and Faraday rotation measure imaging at metre wavelengths with sub-arcsecond resolution: a foundational calibration strategy cites this paper.
Polarisation and Faraday rotation measure imaging at metre wavelengths with sub-arcsecond resolution: a foundational calibration strategy Vision Transformers Need Registers
Reference 18
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-06-26T22:30:10.125466Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 4101ad73-c14f-487e-98ca-57e633a906fa · inbound
RegimeVGGT: Layer-Wise Spatially Preserving Redundancy Removal for Visual Geometry Grounded Transformer cites this paper.
RegimeVGGT: Layer-Wise Spatially Preserving Redundancy Removal for Visual Geometry Grounded Transformer Vision Transformers Need Registers
Reference 8
- Resolution
- verified exact
- local_arxiv, observed 2026-07-03T20:48:56.510638Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation b654c66d-d377-4093-ad9a-0473f864dfd5 · inbound
ReSiReg: Towards Spatially Consistent Semantics in Language-Conditioned Robotic Tasks cites this paper.
ReSiReg: Towards Spatially Consistent Semantics in Language-Conditioned Robotic Tasks Vision Transformers Need Registers
Reference 20
- Resolution
- verified exact
- local_arxiv, observed 2026-06-26T20:59:58.015945Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 17a49bfb-4e48-4bdb-b10f-ce9a583aaff8 · inbound
Massive Activations Are Architecturally Robust: A Controlled Scratch/Commitment Residual Stream Test cites this paper.
Massive Activations Are Architecturally Robust: A Controlled Scratch/Commitment Residual Stream Test Vision Transformers Need Registers
Reference 16
- Resolution
- verified exact
- local_arxiv, observed 2026-07-04T00:59:20.500776Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation abd4dfb9-506d-42bc-9059-cf315882aa06 · inbound
DANTE: A Reference-Guided Unsupervised Pipeline for Extended-Transient Anomaly Characterization in LIGO O4a cites this paper.
DANTE: A Reference-Guided Unsupervised Pipeline for Extended-Transient Anomaly Characterization in LIGO O4a Vision Transformers Need Registers
Reference 33
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-04T20:50:12.246407Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 1c636450-3167-47dd-a9df-172cc2c3a872 · inbound
PixelU: A U-Shaped Transformer for Efficient End-to-End Pixel Diffusion cites this paper.
PixelU: A U-Shaped Transformer for Efficient End-to-End Pixel Diffusion Vision Transformers Need Registers
Reference 6
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-06-29T20:03:57.183065Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 6e62989c-af7f-422d-b05e-001e93d3afb3 · inbound
Argus: Metric Panoramic 3D Reconstruction for Indoor Scenes cites this paper.
Argus: Metric Panoramic 3D Reconstruction for Indoor Scenes Vision Transformers Need Registers
Reference 18
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-06-30T08:14:26.427913Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.