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Paper Citation Record · LEDGER

MixUp Training Leads to Reduced Overfitting and Improved Calibration for the Transformer Architecture

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2102.11402.

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

pith.paper-citation-record.v1
2102.11402 v1

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 2026-08-12T06:34:41.77262+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:29:00.823761Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-17T18:00:50.211737Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • 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 2dbe6057-7d62-4600-8a9d-bd05107a1a9f · inbound

H$_2$O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models cites this paper.

H$_2$O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models MixUp Training Leads to Reduced Overfitting and Improved Calibration for the Transformer Architecture

Reference 85

Resolution
verified exact
arxiv_id, observed 2026-05-17T18:00:50.214877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-17T18:00:50.053377Z digest=sha256:48e58552621d5c7951c810cfac37c541fe8b7321ddd4d220a7905bbd570f0183

Observation 75d08431-305d-4c16-9026-9dd93d941b6c · inbound

Mitigating Shortcut Learning with InterpoLated Learning cites this paper.

Mitigating Shortcut Learning with InterpoLated Learning MixUp Training Leads to Reduced Overfitting and Improved Calibration for the Transformer Architecture

Reference 79

Resolution
unresolved
no resolver link, observed 2026-08-06T19:29:00.823761Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:29:00.823761Z digest=sha256:92171a6b0ccd61929562aed2e7bbbbf95d9ca2af48deadce0c173711a44cc1ae