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Paper Citation Record · LEDGER

Efficient Training of Visual Transformers with Small Datasets

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2106.03746.

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

pith.paper-citation-record.v1
2106.03746 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T21:37:26.380586Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T21:37:27.307913Z

Reference resolution

0 of 0 outbound references displayed

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  • 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 3abf542d-4622-4731-a07e-613e818d801b · 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 Efficient Training of Visual Transformers with Small Datasets

Reference 18

Resolution
verified exact
local_arxiv, observed 2026-08-05T21:37:27.422898Z

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.

source=pdf_text observed=2026-08-05T21:37:26.380586Z digest=sha256:8163b8a9832a856e9f883b7de6d761d1ae0776936784ff028b7b17a1dd4e9e72

Observation 39ab47c8-20b7-40db-828f-7faa8275d872 · inbound

CIG-MAE: Cross-Modal Information-Guided Masked Autoencoder for Self-Supervised WiFi Sensing cites this paper.

CIG-MAE: Cross-Modal Information-Guided Masked Autoencoder for Self-Supervised WiFi Sensing Efficient Training of Visual Transformers with Small Datasets

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-03T18:38:23.636777Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T18:38:23.636777Z digest=sha256:7b839068825a0c527f0f380e94fd0d86ae01d741a4dfda5516803fd5001786b3