Paper Citation Record · LEDGER

Scaling Vision Transformers

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 23 inbound Pith citation observations for arXiv:2106.04560.

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

pith.paper-citation-record.v1
2106.04560 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 23 of 23 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:33:50.355434Z

measured 1 of 1 external citation measurements

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

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

Reference resolution

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External citation measurements

16
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 14ddbe91-c3ed-47fe-9f7d-6bea1f796a44 · inbound

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

BEiT: BERT Pre-Training of Image Transformers Scaling Vision Transformers

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-13T11:50:11.512076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 1153f87d-0441-4cdb-bf5a-47a5f824de54 · inbound

LAION-400M: Open Dataset of CLIP-Filtered 400 Million Image-Text Pairs cites this paper.

LAION-400M: Open Dataset of CLIP-Filtered 400 Million Image-Text Pairs Scaling Vision Transformers

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-12T10:21:01.108829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation e0b35262-610b-473b-b275-7e8eaa5a55e4 · inbound

Florence: A New Foundation Model for Computer Vision cites this paper.

Florence: A New Foundation Model for Computer Vision Scaling Vision Transformers

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-05-16T09:38:09.454541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 74d21f36-dd6b-4c4e-b66c-fdf1498937df · inbound

Flamingo: a Visual Language Model for Few-Shot Learning cites this paper.

Flamingo: a Visual Language Model for Few-Shot Learning Scaling Vision Transformers

Reference 146

Resolution: verified exact; arxiv_id, observed 2026-05-12T04:22:30.491031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation b83230e8-7f76-4009-a14e-51caef88ada1 · inbound

LAION-5B: An open large-scale dataset for training next generation image-text models cites this paper.

LAION-5B: An open large-scale dataset for training next generation image-text models Scaling Vision Transformers

Reference 96

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T14:22:17.095075Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 614cd53c-7570-4844-80a3-6a848526af84 · inbound

LAION-5B: An open large-scale dataset for training next generation image-text models cites this paper.

LAION-5B: An open large-scale dataset for training next generation image-text models Scaling Vision Transformers

Reference 97

Resolution: verified exact; arxiv_id, observed 2026-05-13T14:22:17.464938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 92127002-de8e-4a05-a473-dd172a74731b · inbound

SemDeDup: Data-efficient learning at web-scale through semantic deduplication cites this paper.

SemDeDup: Data-efficient learning at web-scale through semantic deduplication Scaling Vision Transformers

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-18T02:43:30.924882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 4269597d-c48d-497b-b821-001dd2f2401f · inbound

Demystifying CLIP Data cites this paper.

Demystifying CLIP Data Scaling Vision Transformers

Reference 83

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T09:20:20.331713Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation fb1c1f3c-d5c6-4727-9985-6ac941003fa6 · inbound

Inference Scaling Laws: An Empirical Analysis of Compute-Optimal Inference for Problem-Solving with Language Models cites this paper.

Inference Scaling Laws: An Empirical Analysis of Compute-Optimal Inference for Problem-Solving with Language Models Scaling Vision Transformers

Reference 58

Resolution: verified exact; arxiv_id, observed 2026-05-18T06:38:36.752601Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f4e70d8f-82f7-4799-bd4a-24d5a05dced0 · inbound

SmolLM2: When Smol Goes Big -- Data-Centric Training of a Small Language Model cites this paper.

SmolLM2: When Smol Goes Big -- Data-Centric Training of a Small Language Model Scaling Vision Transformers

Reference 251

Resolution: verified exact; arxiv_id, observed 2026-05-13T17:30:03.073052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 6f83608e-8c5d-49e2-a675-91ffe946fce0 · inbound

Meek Models Shall Inherit the Earth cites this paper.

Meek Models Shall Inherit the Earth Scaling Vision Transformers

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T18:33:50.355434Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0163c443-6e58-4dce-bd00-d9e31354a8fb · inbound

Leveraging Transfer Learning and Mobile-enabled Convolutional Neural Networks for Improved Arabic Handwritten Character Recognition cites this paper.

Leveraging Transfer Learning and Mobile-enabled Convolutional Neural Networks for Improved Arabic Handwritten Character Recognition Scaling Vision Transformers

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-05T05:45:02.305660Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 53def06e-9750-43f1-9a49-ef25c4f0591a · inbound

SAM 3: Segment Anything with Concepts cites this paper.

SAM 3: Segment Anything with Concepts Scaling Vision Transformers

Reference 156

Resolution: verified exact; arxiv_id, observed 2026-05-17T20:25:11.529795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 4fb82683-6f09-4a56-9820-5139d5d1d7c3 · inbound

OmniMol: Transferring Particle Physics Knowledge to Molecular Dynamics with Point-Edge Transformers cites this paper.

OmniMol: Transferring Particle Physics Knowledge to Molecular Dynamics with Point-Edge Transformers Scaling Vision Transformers

Reference 49

Resolution: verified exact; arxiv_id, observed 2026-05-16T13:20:57.963935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 8749f0a9-4f03-4ae0-8c9d-f691bb07e530 · inbound

Physics-Informed Transformer for Real-Time High-Fidelity Topology Optimization cites this paper.

Physics-Informed Transformer for Real-Time High-Fidelity Topology Optimization Scaling Vision Transformers

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-05-13T17:23:02.880853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 9df39a8b-521d-4c8b-b3df-1ba46dfd9ab9 · inbound

Masked Contrastive Pre-Training Improves Music Audio Key Detection cites this paper.

Masked Contrastive Pre-Training Improves Music Audio Key Detection Scaling Vision Transformers

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-11T08:56:02.024344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a558aaa5-e02f-41ac-a073-96bfc599dbd7 · inbound

Threats to Arabic Handwriting Recognition: Investigating Black-Box Adversarial Attacks on embedded ConvNet models cites this paper.

Threats to Arabic Handwriting Recognition: Investigating Black-Box Adversarial Attacks on embedded ConvNet models Scaling Vision Transformers

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-05-20T11:38:14.686617Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation cf687ffc-b345-4411-81ff-4f67edc3cdd4 · inbound

Empirical Bayes Conformal Prediction for Vision and Language Models cites this paper.

Empirical Bayes Conformal Prediction for Vision and Language Models Scaling Vision Transformers

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-05-25T04:45:19.791831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 96e3459a-788e-4879-b74a-317410fee9eb · inbound

Unified Neural Scaling Laws cites this paper.

Unified Neural Scaling Laws Scaling Vision Transformers

Reference 32

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T23:44:03.336396Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 6d85e87a-bf31-43d4-ab60-53873f257dde · inbound

Scaling Laws for Neural-Network Quantum States cites this paper.

Scaling Laws for Neural-Network Quantum States Scaling Vision Transformers

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-07-02T01:46:27.100672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation e394515f-5dc5-40e8-acf1-0eaf6969930e · inbound

Improving Neural Network Training by Decoupling the Magnitude and Direction of Weight Vectors cites this paper.

Improving Neural Network Training by Decoupling the Magnitude and Direction of Weight Vectors Scaling Vision Transformers

Reference 127

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T20:30:07.801562Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 52cbf837-3f41-4fe9-a848-0d1845e5fc5d · inbound

Improving Neural Network Training by Decoupling the Magnitude and Direction of Weight Vectors cites this paper.

Improving Neural Network Training by Decoupling the Magnitude and Direction of Weight Vectors Scaling Vision Transformers

Reference 92

Resolution: unresolved; no resolver link, observed 2026-08-02T10:14:13.365487Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 55b13f6c-2c76-4e87-b39a-92a8567d0e1e · inbound

Scale Weight Decay and Train Better cites this paper.

Scale Weight Decay and Train Better Scaling Vision Transformers

Reference 6

Resolution: unresolved; no resolver link, observed 2026-07-30T12:53:40.706869Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.