Paper Citation Record · LEDGER

In Context Learning with Vision Transformers: Case Study

As of 13 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 0 inbound Pith citation observations for arXiv:2505.20872.

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

pith.paper-citation-record.v1
2505.20872 v1

Coverage vector

measured 12 of 12 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:52:16.508875Z

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+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

12 of 12 outbound references displayed

verified exact2
verified fuzzy2
unresolved7
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5bd1963e-e1a8-4f98-83dc-0f653d46fe17 · outbound

This paper cites What Can Transformers Learn In-Context? A Case Study of Simple Function Classes.

In Context Learning with Vision Transformers: Case Study What Can Transformers Learn In-Context? A Case Study of Simple Function Classes

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T13:52:15.643065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9071c4d4-a5e4-437e-9046-377645ff906f · outbound

This paper cites Rethinking the Role of Demonstrations: What Makes In-Context Learning Work?.

In Context Learning with Vision Transformers: Case Study Rethinking the Role of Demonstrations: What Makes In-Context Learning Work?

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T13:52:15.710802Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f37e06d-595c-421d-afd1-02a56a8dc257 · outbound

This paper cites Self-Promoted Supervision for Few-Shot Transformer.

In Context Learning with Vision Transformers: Case Study Self-Promoted Supervision for Few-Shot Transformer

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-08-07T13:52:17.139961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 30bae3f6-50cd-4a68-b1bf-c3861decb67d · outbound

This paper cites Are Transformers More Robust Than CNNs?.

In Context Learning with Vision Transformers: Case Study Are Transformers More Robust Than CNNs?

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-08-07T13:52:16.930708Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 7866f77b-5bec-40f8-ae36-e7ad8abb84cd · outbound

This paper cites (2022).In-context learning and induction heads.

In Context Learning with Vision Transformers: Case Study (2022).In-context learning and induction heads

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:52:17.538208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation ab574f7f-10f0-414e-beb0-c03589595bf5 · outbound

This paper cites (2016).Deep Residual Learning for Image Recognition.

In Context Learning with Vision Transformers: Case Study (2016).Deep Residual Learning for Image Recognition

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:52:17.316615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 6ec6f45d-8132-4789-99d3-b96f8c561894 · outbound

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

In Context Learning with Vision Transformers: Case Study An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T13:52:16.154789Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2b9c61ab-a597-417e-b459-223dce4b9533 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

In Context Learning with Vision Transformers: Case Study Adam: A Method for Stochastic Optimization

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T13:52:16.230158Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b5e9b930-4f5e-44ff-817d-f2d5451cc40d · outbound

This paper cites Decoupled Weight Decay Regularization.

In Context Learning with Vision Transformers: Case Study Decoupled Weight Decay Regularization

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T13:52:16.283972Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 20f06ed0-4c5f-43e0-8ae5-0951439e0639 · outbound

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

In Context Learning with Vision Transformers: Case Study Training data-efficient image transformers & distillation through attention

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T13:52:16.332752Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0d1a1c5e-9213-4ac3-b642-bb1aa3bbe998 · outbound

This paper cites Swin Transformer: Hierarchical Vision Transformer using Shifted Windows.

In Context Learning with Vision Transformers: Case Study Swin Transformer: Hierarchical Vision Transformer using Shifted Windows

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T13:52:16.417013Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a8a13fe2-c642-4e44-bf96-bf1eefe3e5fd · outbound

This paper cites Toward 6G with Terahertz Communications: Understanding the Propagation Channels.

In Context Learning with Vision Transformers: Case Study Toward 6G with Terahertz Communications: Understanding the Propagation Channels

Reference 12

Resolution: metadata mismatch; local_arxiv, observed 2026-08-07T13:52:16.673818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Pith citing papers

No inbound Pith citation observations are available.