Paper Citation Record · LEDGER

MSCViT: A Small-size ViT architecture with Multi-Scale Self-Attention Mechanism for Tiny Datasets

As of 11 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:2501.06040.

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

pith.paper-citation-record.v1
2501.06040 v2

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:10:56.814914Z

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

34 of 34 outbound references displayed

verified exact0
verified fuzzy21
unresolved13
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8c11f804-e77e-4900-85e5-3db976a22ced · outbound

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

MSCViT: A Small-size ViT architecture with Multi-Scale Self-Attention Mechanism for Tiny Datasets An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-10T21:10:56.658354Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c249db0d-64f7-4994-982f-c3ef8b4b50c6 · outbound

This paper cites Do vision transformers see like convolutional neural networks? Advances in neural information processing systems, 34:12116–12128, 2021.

MSCViT: A Small-size ViT architecture with Multi-Scale Self-Attention Mechanism for Tiny Datasets Do vision transformers see like convolutional neural networks? Advances in neural information processing systems, 34:12116–12128, 2021

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-10T21:10:56.663404Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a030ed8-fb77-4365-bd5f-77f2f8524633 · outbound

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

MSCViT: A Small-size ViT architecture with Multi-Scale Self-Attention Mechanism for Tiny Datasets Learning multiple layers of features from tiny images

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-10T21:10:56.668402Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0989783b-fdb4-466a-b3c4-b1425ea310e0 · outbound

This paper cites Automated flower classification over a large number of classes.

MSCViT: A Small-size ViT architecture with Multi-Scale Self-Attention Mechanism for Tiny Datasets Automated flower classification over a large number of classes

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:10:57.352092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation ba492bf7-320a-495c-8874-bf59fbf4d05a · outbound

This paper cites Hard sample aware noise robust learning for histopathology image classification.

MSCViT: A Small-size ViT architecture with Multi-Scale Self-Attention Mechanism for Tiny Datasets Hard sample aware noise robust learning for histopathology image classification

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:10:57.336834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 6a4f394e-9a95-489e-959e-a941497b2a40 · outbound

This paper cites Training data-efficient image transformers & distillation through attention.

MSCViT: A Small-size ViT architecture with Multi-Scale Self-Attention Mechanism for Tiny Datasets Training data-efficient image transformers & distillation through attention

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-10T21:10:56.682157Z

Source-reported events for the cited work

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Observation 66c6a6c0-3a42-409f-98d1-149c591bef96 · outbound

This paper cites Tokens-to- token vit: Training vision transformers from scratch on imagenet.

MSCViT: A Small-size ViT architecture with Multi-Scale Self-Attention Mechanism for Tiny Datasets Tokens-to- token vit: Training vision transformers from scratch on imagenet

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:10:57.312732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 0615328b-59ff-435c-98c8-dbe500c0b03b · outbound

This paper cites Deformable DETR: Deformable Transformers for End-to-End Object Detection.

MSCViT: A Small-size ViT architecture with Multi-Scale Self-Attention Mechanism for Tiny Datasets Deformable DETR: Deformable Transformers for End-to-End Object Detection

Reference 8

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Source-reported events for the cited work

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Observation 014d6812-212b-4eae-bf5a-8a0e8aabd253 · outbound

This paper cites End-to-end object detec- tion with transformers.

MSCViT: A Small-size ViT architecture with Multi-Scale Self-Attention Mechanism for Tiny Datasets End-to-end object detec- tion with transformers

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:10:57.284851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 979151fb-790c-4c13-b947-09d214cb245f · outbound

This paper cites Crossvit: Cross-attention multi-scale vision transformer for image classifica- tion.

MSCViT: A Small-size ViT architecture with Multi-Scale Self-Attention Mechanism for Tiny Datasets Crossvit: Cross-attention multi-scale vision transformer for image classifica- tion

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:10:57.267071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 64052717-370a-4a2c-a887-6635dfafb27c · outbound

This paper cites LocalViT: Analyzing Locality in Vision Transformers.

MSCViT: A Small-size ViT architecture with Multi-Scale Self-Attention Mechanism for Tiny Datasets LocalViT: Analyzing Locality in Vision Transformers

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-10T21:10:56.705610Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1d8a600e-0de6-40fb-b4ce-cc8d1ebf3d04 · outbound

This paper cites Pyramid vision transformer: A versatile backbone for dense prediction without con- volutions.

MSCViT: A Small-size ViT architecture with Multi-Scale Self-Attention Mechanism for Tiny Datasets Pyramid vision transformer: A versatile backbone for dense prediction without con- volutions

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-10T21:10:56.710922Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 22e13222-09ec-4b4b-91f0-f9eefdfd7c5c · outbound

This paper cites Swintransformer:Hierarchicalvision transformerusingshiftedwindows.

MSCViT: A Small-size ViT architecture with Multi-Scale Self-Attention Mechanism for Tiny Datasets Swintransformer:Hierarchicalvision transformerusingshiftedwindows

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:10:57.242255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 0cb0b562-7157-4482-93a1-9e2d3a2d9dc8 · outbound

This paper cites Biformer: Vision transformer with bi-level routing attention.

MSCViT: A Small-size ViT architecture with Multi-Scale Self-Attention Mechanism for Tiny Datasets Biformer: Vision transformer with bi-level routing attention

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:10:57.225559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation ee55257f-9bb2-42c0-9ae8-2c1fab0236eb · outbound

This paper cites Cvt: Introducing convolutions to vision transformers.

MSCViT: A Small-size ViT architecture with Multi-Scale Self-Attention Mechanism for Tiny Datasets Cvt: Introducing convolutions to vision transformers

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:10:57.207772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 9ac613ab-aaaf-4852-989a-5dfa66558e32 · outbound

This paper cites Twins: Revisiting the design of spatial attention in vision transformers.Advances in neural information processing systems, 34:9355–9366, 2021.

MSCViT: A Small-size ViT architecture with Multi-Scale Self-Attention Mechanism for Tiny Datasets Twins: Revisiting the design of spatial attention in vision transformers.Advances in neural information processing systems, 34:9355–9366, 2021

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-10T21:10:56.729463Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 28c6b03f-9c37-44ce-8aff-9763058e0644 · outbound

This paper cites Maxvit: Multi-axis vision transformer.

MSCViT: A Small-size ViT architecture with Multi-Scale Self-Attention Mechanism for Tiny Datasets Maxvit: Multi-axis vision transformer

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:10:57.184542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation c45ecc1b-8f40-4cc9-aec9-734c7de71c57 · outbound

This paper cites Coatnet: Marrying convolution and attention for all data sizes.Advances in neural information processing systems, 34:3965–3977, 2021.

MSCViT: A Small-size ViT architecture with Multi-Scale Self-Attention Mechanism for Tiny Datasets Coatnet: Marrying convolution and attention for all data sizes.Advances in neural information processing systems, 34:3965–3977, 2021

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-10T21:10:56.738970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 88d109fd-86be-4f1a-9001-ae5460cf437d · outbound

This paper cites Escaping the Big Data Paradigm with Compact Transformers.

MSCViT: A Small-size ViT architecture with Multi-Scale Self-Attention Mechanism for Tiny Datasets Escaping the Big Data Paradigm with Compact Transformers

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-10T21:10:56.743958Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3f91ffda-3681-4909-95ce-64f6fe81481f · outbound

This paper cites Conformer: Local features coupling global representations for visual recognition.

MSCViT: A Small-size ViT architecture with Multi-Scale Self-Attention Mechanism for Tiny Datasets Conformer: Local features coupling global representations for visual recognition

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:10:57.153895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation b7f4396b-c271-477c-b181-fee62748ba43 · outbound

This paper cites Efficient training of visual transformers with small datasets.

MSCViT: A Small-size ViT architecture with Multi-Scale Self-Attention Mechanism for Tiny Datasets Efficient training of visual transformers with small datasets

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:10:57.138937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 0147dc57-d28a-4b1c-b80d-fc5d42ce7790 · outbound

This paper cites Vision Transformer for Small-Size Datasets.

MSCViT: A Small-size ViT architecture with Multi-Scale Self-Attention Mechanism for Tiny Datasets Vision Transformer for Small-Size Datasets

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-10T21:10:56.759941Z

Source-reported events for the cited work

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Observation 70b7a00f-e487-43de-8895-0258eaeafacf · outbound

This paper cites Transmcgc: a recast vision transformer for small-scale image classification tasks.

MSCViT: A Small-size ViT architecture with Multi-Scale Self-Attention Mechanism for Tiny Datasets Transmcgc: a recast vision transformer for small-scale image classification tasks

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:10:57.122165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation a2c874a7-08d1-47be-8806-2a20424d649a · outbound

This paper cites Accumulated trivial attention matters in vision transformers on small datasets.

MSCViT: A Small-size ViT architecture with Multi-Scale Self-Attention Mechanism for Tiny Datasets Accumulated trivial attention matters in vision transformers on small datasets

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:10:57.107133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 559f69fd-aeee-4240-a36b-8f008629f046 · outbound

This paper cites Early convolutions help transformers see bet- ter.

MSCViT: A Small-size ViT architecture with Multi-Scale Self-Attention Mechanism for Tiny Datasets Early convolutions help transformers see bet- ter

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:10:57.092113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation f5d08a49-8edd-409a-9f19-f3bb16fcda99 · outbound

This paper cites Efficientvit: Memory efficient vision transformer withcascadedgroupattention.

MSCViT: A Small-size ViT architecture with Multi-Scale Self-Attention Mechanism for Tiny Datasets Efficientvit: Memory efficient vision transformer withcascadedgroupattention

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:10:57.073910Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation a1cd2f4b-959a-47fc-97d7-a0cd2d9f3eb5 · outbound

This paper cites Pvt v2: Improved baselines with pyramid vision transformer.

MSCViT: A Small-size ViT architecture with Multi-Scale Self-Attention Mechanism for Tiny Datasets Pvt v2: Improved baselines with pyramid vision transformer

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-10T21:10:56.782472Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 40aaaa92-adee-4332-b527-a47d2ed778d0 · outbound

This paper cites Moganet: Multi-order gated aggregation network.

MSCViT: A Small-size ViT architecture with Multi-Scale Self-Attention Mechanism for Tiny Datasets Moganet: Multi-order gated aggregation network

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:10:57.043346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation b22fc425-e839-41c5-86b8-c1a9901929aa · outbound

This paper cites Visual attention network.

MSCViT: A Small-size ViT architecture with Multi-Scale Self-Attention Mechanism for Tiny Datasets Visual attention network

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:10:57.025080Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 31d56063-3ce1-4c6c-a556-0df5c807b16d · outbound

This paper cites HSViT: Horizontally Scalable Vision Transformer.

MSCViT: A Small-size ViT architecture with Multi-Scale Self-Attention Mechanism for Tiny Datasets HSViT: Horizontally Scalable Vision Transformer

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-10T21:10:56.797560Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a00105af-d7a3-4fcd-ba86-7aa44b2102bb · outbound

This paper cites Convit: Improving vision trans- formers with soft convolutional inductive biases.

MSCViT: A Small-size ViT architecture with Multi-Scale Self-Attention Mechanism for Tiny Datasets Convit: Improving vision trans- formers with soft convolutional inductive biases

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:10:57.008298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 9c82218d-b0da-4e58-b765-53336691089f · outbound

This paper cites Cmt: Convolutional neural networks meet vision transformers.

MSCViT: A Small-size ViT architecture with Multi-Scale Self-Attention Mechanism for Tiny Datasets Cmt: Convolutional neural networks meet vision transformers

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:10:56.984650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation ef259d15-aec4-43f3-a89a-736592e42d7c · outbound

This paper cites Levit: a vision transformerinconvnet’sclothingforfasterinference.

MSCViT: A Small-size ViT architecture with Multi-Scale Self-Attention Mechanism for Tiny Datasets Levit: a vision transformerinconvnet’sclothingforfasterinference

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:10:56.971354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 8f5fa47e-00b1-450b-9528-e22d15fe1deb · outbound

This paper cites Shunted self-attention via multi-scale token aggregation.

MSCViT: A Small-size ViT architecture with Multi-Scale Self-Attention Mechanism for Tiny Datasets Shunted self-attention via multi-scale token aggregation

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:10:56.956871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Pith citing papers

No inbound Pith citation observations are available.