Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T15:25:00.131075Z
Paper Citation Record · LEDGER
Quick ViTs: Speeding up Vision Transformers through Equivariance
As of 8 August 2026, this Paper Citation Record lists 69 of 69 outbound references and 4 inbound Pith citation observations for arXiv:2505.15441.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-04T12:27:30.763780Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-30T10:04:36.130406Z
Reference resolution
69 of 69 outbound references displayed
- verified exact0
- verified fuzzy39
- unresolved30
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External citation measurements
No source-named external measurement is stored.
Outbound references
Observation bbde78ef-2731-47fe-9e57-760ed0ae9bd1 · outbound
This paper cites write newline.
Quick ViTs: Speeding up Vision Transformers through Equivariance write newline
Reference 1
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 01c3b81a-edba-4007-b7a7-ed4f423763aa · outbound
This paper cites @esa (Ref.
Quick ViTs: Speeding up Vision Transformers through Equivariance @esa (Ref
Reference 2
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 677ab94a-43ef-422d-84ed-e67708d7dd15 · outbound
This paper cites an unresolved cited work.
Quick ViTs: Speeding up Vision Transformers through Equivariance Unresolved cited work
Reference 3
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dd47ed3d-a8f4-4a56-97f0-d24e9f54e3b8 · outbound
This paper cites an unresolved cited work.
Quick ViTs: Speeding up Vision Transformers through Equivariance Unresolved cited work
Reference 4
- Resolution
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Source-reported events for the cited work
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Observation d9986c00-5005-46c0-b8b6-ab78941d8af3 · outbound
This paper cites Accurate structure prediction of biomolecular interactions with alphafold 3.
Quick ViTs: Speeding up Vision Transformers through Equivariance Accurate structure prediction of biomolecular interactions with alphafold 3
Reference 5
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5a7838e7-4130-458b-9f2f-3a220c078e16 · outbound
This paper cites Getting vit in shape: Scaling laws for compute-optimal model design.
Quick ViTs: Speeding up Vision Transformers through Equivariance Getting vit in shape: Scaling laws for compute-optimal model design
Reference 6
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 5d9e5b79-2b3d-4fb4-9de7-5b689d84d6ee · outbound
This paper cites Vn-transformer: Rotation-equivariant attention for vector neurons.
Quick ViTs: Speeding up Vision Transformers through Equivariance Vn-transformer: Rotation-equivariant attention for vector neurons
Reference 7
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation e30d4d6e-7c20-4958-b957-449c47129dab · outbound
This paper cites How to scale your model.
Quick ViTs: Speeding up Vision Transformers through Equivariance How to scale your model
Reference 8
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 853b16d9-9877-40d1-a3d1-5a7bee12ea73 · outbound
This paper cites Roto-translation covariant convolutional networks for medical image analysis.
Quick ViTs: Speeding up Vision Transformers through Equivariance Roto-translation covariant convolutional networks for medical image analysis
Reference 9
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation b6ce0b7d-f608-49c6-b58d-40ed676c7a9f · outbound
This paper cites an unresolved cited work.
Quick ViTs: Speeding up Vision Transformers through Equivariance Unresolved cited work
Reference 10
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3bd2a9cf-6352-4f3a-a3ba-679f933ca5fa · outbound
This paper cites An Efficient Sparse Kernel Generator for O(3)-Equivariant Deep Networks.
Quick ViTs: Speeding up Vision Transformers through Equivariance An Efficient Sparse Kernel Generator for O(3)-Equivariant Deep Networks
Reference 11
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 34f3dbb6-4662-4648-8d25-94a0defc6851 · outbound
This paper cites o kman, David Nordstr \.
Quick ViTs: Speeding up Vision Transformers through Equivariance o kman, David Nordstr \
Reference 12
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 2cac53fe-7815-4e95-8841-3e4e8c4a564e · outbound
This paper cites Does equivariance matter at scale? Transactions on Machine Learning Research, 2025.
Quick ViTs: Speeding up Vision Transformers through Equivariance Does equivariance matter at scale? Transactions on Machine Learning Research, 2025
Reference 13
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 3179e332-da79-44d7-ae34-59ca306cd42c · outbound
This paper cites Group-invariant max filtering.
Quick ViTs: Speeding up Vision Transformers through Equivariance Group-invariant max filtering
Reference 14
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 7aa98e4b-4989-41c0-a343-3e557f7e159c · outbound
This paper cites End-to-end object detection with transformers.
Quick ViTs: Speeding up Vision Transformers through Equivariance End-to-end object detection with transformers
Reference 15
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ce8086ae-52f1-4286-9a59-b3c7b72b0f42 · outbound
This paper cites Sparsevit: Revisiting activation sparsity for efficient high-resolution vision transformer.
Quick ViTs: Speeding up Vision Transformers through Equivariance Sparsevit: Revisiting activation sparsity for efficient high-resolution vision transformer
Reference 16
- Resolution
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Source-reported events for the cited work
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Observation 1e440d77-a292-469b-a512-e5793cda4fdc · outbound
This paper cites Group equivariant convolutional networks.
Quick ViTs: Speeding up Vision Transformers through Equivariance Group equivariant convolutional networks
Reference 17
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fb29af2d-a095-4127-88dd-a6b53096ae57 · outbound
This paper cites Steerable CNN s.
Quick ViTs: Speeding up Vision Transformers through Equivariance Steerable CNN s
Reference 18
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation fafee053-559f-495d-8f85-425b7d1fcab5 · outbound
This paper cites Flash A ttention-2: Faster attention with better parallelism and work partitioning.
Quick ViTs: Speeding up Vision Transformers through Equivariance Flash A ttention-2: Faster attention with better parallelism and work partitioning
Reference 19
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 440e3251-3bbc-499b-8ec0-39ab22dea2fa · outbound
This paper cites Cluster and predict latents patches for improved masked image modeling.
Quick ViTs: Speeding up Vision Transformers through Equivariance Cluster and predict latents patches for improved masked image modeling
Reference 20
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation b9eefcc2-4de2-4623-a72c-aa1ccccdc7cf · outbound
This paper cites an unresolved cited work.
Quick ViTs: Speeding up Vision Transformers through Equivariance Unresolved cited work
Reference 21
- Resolution
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Source-reported events for the cited work
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Observation 876d975a-e885-4dd5-ba31-61240268f68b · outbound
This paper cites Imagenet: A large-scale hierarchical image database.
Quick ViTs: Speeding up Vision Transformers through Equivariance Imagenet: A large-scale hierarchical image database
Reference 22
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3cac26f9-8337-427b-b742-5588855e3f40 · outbound
This paper cites Exploiting cyclic symmetry in convolutional neural networks.
Quick ViTs: Speeding up Vision Transformers through Equivariance Exploiting cyclic symmetry in convolutional neural networks
Reference 23
- Resolution
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Source-reported events for the cited work
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Observation 3932664e-0165-4365-812e-3b7ff2f61637 · outbound
This paper cites An image is worth 16x16 words: Transformers for image recognition at scale.
Quick ViTs: Speeding up Vision Transformers through Equivariance An image is worth 16x16 words: Transformers for image recognition at scale
Reference 24
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 04aa91e7-d192-45a7-84b4-a50db98acff9 · outbound
This paper cites RoMa: Robust Dense Feature Matching.
Quick ViTs: Speeding up Vision Transformers through Equivariance RoMa: Robust Dense Feature Matching
Reference 25
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation e3d38edd-e969-4d9b-a3e9-9bb93a3b8ee7 · outbound
This paper cites The pascal visual object classes (voc) challenge.
Quick ViTs: Speeding up Vision Transformers through Equivariance The pascal visual object classes (voc) challenge
Reference 26
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1969a6a1-9730-4634-8f21-c36088e40aae · outbound
This paper cites The invariantring package for macaulay2.
Quick ViTs: Speeding up Vision Transformers through Equivariance The invariantring package for macaulay2
Reference 27
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 52bb86f6-0da0-484e-8b3c-94efe6cc7e44 · outbound
This paper cites Fuchs, Daniel E.
Quick ViTs: Speeding up Vision Transformers through Equivariance Fuchs, Daniel E
Reference 28
- Resolution
- verified fuzzy
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Source-reported events for the cited work
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Observation c7248ed7-e4dd-44d3-8c5f-700cbdfb709d · outbound
This paper cites Grayson and Michael E.
Quick ViTs: Speeding up Vision Transformers through Equivariance Grayson and Michael E
Reference 29
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1f6bb21c-3891-43e2-98af-3170b4c16153 · outbound
This paper cites Neighborhood attention transformer.
Quick ViTs: Speeding up Vision Transformers through Equivariance Neighborhood attention transformer
Reference 30
- Resolution
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Source-reported events for the cited work
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Observation 9bfd56da-e94f-4669-b48d-cb3aff50b498 · outbound
This paper cites Efficient equivariant network.
Quick ViTs: Speeding up Vision Transformers through Equivariance Efficient equivariant network
Reference 31
- Resolution
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Source-reported events for the cited work
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Observation 6a0818ae-84b2-437e-8773-d6fbae098627 · outbound
This paper cites Gaussian Error Linear Units (GELUs).
Quick ViTs: Speeding up Vision Transformers through Equivariance Gaussian Error Linear Units (GELUs)
Reference 32
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b9a62267-ae79-4634-9dfd-1391eb3f2cf3 · outbound
This paper cites Lietransformer: Equivariant self-attention for lie groups.
Quick ViTs: Speeding up Vision Transformers through Equivariance Lietransformer: Equivariant self-attention for lie groups
Reference 33
- Resolution
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Source-reported events for the cited work
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Observation 984f466b-1ac3-4080-adc2-585d0ed62b35 · outbound
This paper cites Equivariance with learned canonicalization functions.
Quick ViTs: Speeding up Vision Transformers through Equivariance Equivariance with learned canonicalization functions
Reference 34
- Resolution
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Source-reported events for the cited work
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Observation 56f99f12-68b2-4576-a86d-c15a34758035 · outbound
This paper cites The bispectrum as a source of phase-sensitive invariants for fourier descriptors: a group-theoretic approach.
Quick ViTs: Speeding up Vision Transformers through Equivariance The bispectrum as a source of phase-sensitive invariants for fourier descriptors: a group-theoretic approach
Reference 35
- Resolution
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Source-reported events for the cited work
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Observation 14716639-babc-4242-b0ce-2ef7127cd55a · outbound
This paper cites Scaling Laws for Neural Language Models.
Quick ViTs: Speeding up Vision Transformers through Equivariance Scaling Laws for Neural Language Models
Reference 36
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 992a2c43-b201-43ca-b9b3-94b69edf5577 · outbound
This paper cites Berg, Wan-Yen Lo, Piotr Dollar, and Ross Girshick.
Quick ViTs: Speeding up Vision Transformers through Equivariance Berg, Wan-Yen Lo, Piotr Dollar, and Ross Girshick
Reference 37
- Resolution
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Source-reported events for the cited work
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Observation b13db8d9-780d-4428-bf4a-cb88eed5ae65 · outbound
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Quick ViTs: Speeding up Vision Transformers through Equivariance Dinobloom: a foundation model for generalizable cell embeddings in hematology
Reference 38
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 4fd2b8d2-faef-4c0f-acb0-a4b7923fc8cf · outbound
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Quick ViTs: Speeding up Vision Transformers through Equivariance Steerable transformers for volumetric data
Reference 39
- Resolution
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Source-reported events for the cited work
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Observation 3c99fe2a-704c-45f3-8ba9-8398426ff886 · outbound
This paper cites Equiformer: Equivariant graph attention transformer for 3d atomistic graphs.
Quick ViTs: Speeding up Vision Transformers through Equivariance Equiformer: Equivariant graph attention transformer for 3d atomistic graphs
Reference 40
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 6434e677-4eba-44c8-a1bd-26cdbff7f382 · outbound
This paper cites Swin transformer: Hierarchical vision transformer using shifted windows.
Quick ViTs: Speeding up Vision Transformers through Equivariance Swin transformer: Hierarchical vision transformer using shifted windows
Reference 41
- Resolution
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Source-reported events for the cited work
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Quick ViTs: Speeding up Vision Transformers through Equivariance An expert-annotated dataset of bone marrow cytology in hematologic malignancies
Reference 42
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0c84bdb6-34c5-44c7-8cf9-ec9f0075c3f4 · outbound
This paper cites cuEquivariance : High-performance equivariant neural networks.
Quick ViTs: Speeding up Vision Transformers through Equivariance cuEquivariance : High-performance equivariant neural networks
Reference 43
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 89a22307-641c-4434-8a60-38bf04ad771d · outbound
This paper cites an unresolved cited work.
Quick ViTs: Speeding up Vision Transformers through Equivariance Unresolved cited work
Reference 44
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ac162541-b0e3-4e3f-8f7c-28b5cb477e0d · outbound
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Quick ViTs: Speeding up Vision Transformers through Equivariance Pytorch: An imperative style, high-performance deep learning library
Reference 45
- Resolution
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Source-reported events for the cited work
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Observation 073f9b7f-a775-43eb-9dc6-a52308e6c746 · outbound
This paper cites Learning transferable visual models from natural language supervision.
Quick ViTs: Speeding up Vision Transformers through Equivariance Learning transferable visual models from natural language supervision
Reference 46
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 050e85e7-1670-49c7-92e1-5e08ce5ceb3a · outbound
This paper cites an unresolved cited work.
Quick ViTs: Speeding up Vision Transformers through Equivariance Unresolved cited work
Reference 47
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation b24e5e57-cf9c-42cb-9557-dbc7398c01d9 · outbound
This paper cites Rojas-Gomez, Teck-Yian Lim, Minh N.
Quick ViTs: Speeding up Vision Transformers through Equivariance Rojas-Gomez, Teck-Yian Lim, Minh N
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:25:01.351357Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 04f08762-28b9-488b-9b8d-5e52f14059e6 · outbound
This paper cites Attentive group equivariant convolutional networks.
Quick ViTs: Speeding up Vision Transformers through Equivariance Attentive group equivariant convolutional networks
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:25:01.341392Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 6d3dda3a-4831-4f83-9e82-0e591b75cd77 · outbound
This paper cites Imagenet large scale visual recognition challenge.
Quick ViTs: Speeding up Vision Transformers through Equivariance Imagenet large scale visual recognition challenge
Reference 50
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0a6b075b-e5e0-4a83-b244-7f65b2a45c00 · outbound
This paper cites A general framework for robust g-invariance in g-equivariant networks.
Quick ViTs: Speeding up Vision Transformers through Equivariance A general framework for robust g-invariance in g-equivariant networks
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:25:01.322042Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 488246ac-a2a3-4be3-949f-d09dc5438ff1 · outbound
This paper cites Linear Representations of Finite Groups , volume 42 of Graduate Texts in Mathematics.
Quick ViTs: Speeding up Vision Transformers through Equivariance Linear Representations of Finite Groups , volume 42 of Graduate Texts in Mathematics
Reference 52
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 884df359-cb9b-4099-97a2-bb9fcdf1d99c · outbound
This paper cites an unresolved cited work.
Quick ViTs: Speeding up Vision Transformers through Equivariance Unresolved cited work
Reference 53
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d66495ab-dae1-4aa7-a1b8-ae902b7e3261 · outbound
This paper cites Deit iii: Revenge of the vit.
Quick ViTs: Speeding up Vision Transformers through Equivariance Deit iii: Revenge of the vit
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:25:01.304235Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 2080a968-4a48-4648-b484-eca3e9e4bed6 · outbound
This paper cites Probing Equivariance and Symmetry Breaking in Convolutional Networks.
Quick ViTs: Speeding up Vision Transformers through Equivariance Probing Equivariance and Symmetry Breaking in Convolutional Networks
Reference 55
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:25:00.088220Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 56229692-0a08-4198-b321-5ad9c8617b82 · outbound
This paper cites Benchmarking representation learning for natural world image collections.
Quick ViTs: Speeding up Vision Transformers through Equivariance Benchmarking representation learning for natural world image collections
Reference 56
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:25:01.289037Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 33a34b82-5c15-4afa-b7dd-7ac7cb4441a3 · outbound
This paper cites Attention is all you need.
Quick ViTs: Speeding up Vision Transformers through Equivariance Attention is all you need
Reference 57
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:25:00.094139Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 76c1902a-cd4b-4764-aa8a-9990c3e1a3c8 · outbound
This paper cites VGGT: Visual Geometry Grounded Transformer.
Quick ViTs: Speeding up Vision Transformers through Equivariance VGGT: Visual Geometry Grounded Transformer
Reference 58
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:25:00.097364Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 59d2a013-a693-4b7d-a00c-5d1c021c3818 · outbound
This paper cites Dust3r: Geometric 3d vision made easy.
Quick ViTs: Speeding up Vision Transformers through Equivariance Dust3r: Geometric 3d vision made easy
Reference 59
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:25:01.270335Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation a564d382-238b-4913-8aa6-3ec51fdd062e · outbound
This paper cites Swallowing the bitter pill: Simplified scalable conformer generation.
Quick ViTs: Speeding up Vision Transformers through Equivariance Swallowing the bitter pill: Simplified scalable conformer generation
Reference 60
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:25:01.258709Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation a5cc7fec-fa18-4668-bfe9-7aca779859c0 · outbound
This paper cites General E(2) -equivariant steerable CNN s.
Quick ViTs: Speeding up Vision Transformers through Equivariance General E(2) -equivariant steerable CNN s
Reference 61
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:25:01.247437Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation f7ac04d5-8ffc-4323-ac5e-3d64d2066577 · outbound
This paper cites Pytorch image models.
Quick ViTs: Speeding up Vision Transformers through Equivariance Pytorch image models
Reference 62
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:25:00.110748Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a383838c-415a-463e-9136-61a4ee781e84 · outbound
This paper cites Representation theory and invariant neural networks.
Quick ViTs: Speeding up Vision Transformers through Equivariance Representation theory and invariant neural networks
Reference 63
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:25:01.220306Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 5fd7f0c3-796f-4eb4-83e1-a5a9faa439aa · outbound
This paper cites Cvt: Introducing convolutions to vision transformers.
Quick ViTs: Speeding up Vision Transformers through Equivariance Cvt: Introducing convolutions to vision transformers
Reference 64
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:25:01.179230Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 016e0189-061c-4297-9758-3f0e6857c9bd · outbound
This paper cites e (2) -equivariant vision transformer.
Quick ViTs: Speeding up Vision Transformers through Equivariance e (2) -equivariant vision transformer
Reference 65
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:25:01.079647Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 02636207-895d-4df1-af95-d46b395bb7aa · outbound
This paper cites Scaling vision transformers.
Quick ViTs: Speeding up Vision Transformers through Equivariance Scaling vision transformers
Reference 66
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:25:00.823101Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation ec9226b8-1929-431c-9505-6a685a337fd3 · outbound
This paper cites Places: A 10 million image database for scene recognition.
Quick ViTs: Speeding up Vision Transformers through Equivariance Places: A 10 million image database for scene recognition
Reference 67
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:25:00.632362Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation e4308765-75f1-45f9-a154-43f8de0a3eb6 · outbound
This paper cites Scene parsing through ade20k dataset.
Quick ViTs: Speeding up Vision Transformers through Equivariance Scene parsing through ade20k dataset
Reference 68
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:25:00.519956Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 0b044900-2ae1-4dcf-866f-b74598099022 · outbound
This paper cites Semantic understanding of scenes through the ade20k dataset.
Quick ViTs: Speeding up Vision Transformers through Equivariance Semantic understanding of scenes through the ade20k dataset
Reference 69
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:25:00.131075Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
Observation a9be8c19-4284-4297-a167-a0398f5b1dac · inbound
Platonic Transformers: A Solid Choice For Equivariance cites this paper.
Platonic Transformers: A Solid Choice For Equivariance Quick ViTs: Speeding up Vision Transformers through Equivariance
Reference 38
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T12:27:30.763780Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6f5e8a57-bb5f-4ff4-84a1-9bf866a8ca89 · inbound
Who Handles Orientation? Investigating Invariance in Feature Matching cites this paper.
Who Handles Orientation? Investigating Invariance in Feature Matching Quick ViTs: Speeding up Vision Transformers through Equivariance
Reference 34
- Resolution
- verified exact
- arxiv_id, observed 2026-07-07T03:18:46.986811Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 959c1bd3-4cd5-41d9-bc60-2a1beea51387 · inbound
A Unified Framework for Vision Transformers Equivariant to Discrete Subgroups of $\mathrm{O}(2)$ cites this paper.
A Unified Framework for Vision Transformers Equivariant to Discrete Subgroups of $\mathrm{O}(2)$ Quick ViTs: Speeding up Vision Transformers through Equivariance
Reference 29
- Resolution
- verified exact
- arxiv_id, observed 2026-07-07T03:18:46.986811Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 6a117b49-53d8-4dc6-863a-a1acaadf77d2 · inbound
A Unified Framework for Vision Transformers Equivariant to Discrete Subgroups of $\mathrm{O}(2)$ cites this paper.
A Unified Framework for Vision Transformers Equivariant to Discrete Subgroups of $\mathrm{O}(2)$ Quick ViTs: Speeding up Vision Transformers through Equivariance
Reference 29
- Resolution
- verified exact
- arxiv_id, observed 2026-07-07T03:18:46.986811Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.