Paper Citation Record · LEDGER

Vision Transformer for Small-Size Datasets

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2112.13492.

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

pith.paper-citation-record.v1
2112.13492 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:10:56.759941Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T22:40:43.122763Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
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malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

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

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

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

Unavailable: canonical work link unavailable.

Observation 76091f50-8016-40bb-9761-20ee0576b175 · inbound

Protego: Detecting Adversarial Examples for Vision Transformers via Intrinsic Capabilities cites this paper.

Protego: Detecting Adversarial Examples for Vision Transformers via Intrinsic Capabilities Vision Transformer for Small-Size Datasets

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-10T20:53:52.221540Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ec011436-9703-4faf-ae61-36b73a01b100 · inbound

CA3D: Convolutional-Attentional 3D Nets for Efficient Video Activity Recognition on the Edge cites this paper.

CA3D: Convolutional-Attentional 3D Nets for Efficient Video Activity Recognition on the Edge Vision Transformer for Small-Size Datasets

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T14:09:32.434252Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b464d33-8b4f-4436-ac47-0df59a554708 · inbound

DuoFormer: Leveraging Hierarchical Representations by Local and Global Attention Vision Transformer cites this paper.

DuoFormer: Leveraging Hierarchical Representations by Local and Global Attention Vision Transformer Vision Transformer for Small-Size Datasets

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T00:42:00.774613Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 49581837-58a3-4d06-80b4-fb864cf09747 · inbound

Multimodal learning enables instant ionizing radiation alerts on unmodified mobile phones for real-world emergency response cites this paper.

Multimodal learning enables instant ionizing radiation alerts on unmodified mobile phones for real-world emergency response Vision Transformer for Small-Size Datasets

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-05T21:37:26.277881Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aeed180e-77d6-41d9-8f85-4a90dcdc669e · inbound

CoSwin: Convolution Enhanced Hierarchical Shifted Window Attention For Small-Scale Vision cites this paper.

CoSwin: Convolution Enhanced Hierarchical Shifted Window Attention For Small-Scale Vision Vision Transformer for Small-Size Datasets

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-04T19:58:22.062214Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f8bbdefb-9705-4d8a-90d4-fd70a2cb2d28 · inbound

CoUn: Empowering Machine Unlearning via Contrastive Learning cites this paper.

CoUn: Empowering Machine Unlearning via Contrastive Learning Vision Transformer for Small-Size Datasets

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-05-21T22:40:43.125538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e38ef1d9-e824-4fad-9f53-88320128651f · inbound

Optimal Attention Temperature Improves the Robustness of In-Context Learning under Distribution Shift in High Dimensions cites this paper.

Optimal Attention Temperature Improves the Robustness of In-Context Learning under Distribution Shift in High Dimensions Vision Transformer for Small-Size Datasets

Reference 3

Resolution: metadata mismatch; arxiv_id, observed 2026-05-18T01:50:38.555138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 0e556de1-5949-4f0c-a265-cc48344fb6a7 · inbound

EPIR: An Efficient Patch Tokenization, Integration and Representation Framework for Micro-expression Recognition cites this paper.

EPIR: An Efficient Patch Tokenization, Integration and Representation Framework for Micro-expression Recognition Vision Transformer for Small-Size Datasets

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-05-11T07:41:00.344249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.