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Paper Citation Record · LEDGER

Self-Challenging Improves Cross-Domain Generalization

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2007.02454.

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

pith.paper-citation-record.v1
2007.02454 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 2026-08-21T06:32:19.484+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T06:04:22.897962Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T05:09:38.789827Z

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 ff802b84-5c23-4d44-9e03-ba3c02a4bcfe · inbound

Improving Generalization in MRI-Based Deep Learning Models for Total Knee Replacement Prediction cites this paper.

Improving Generalization in MRI-Based Deep Learning Models for Total Knee Replacement Prediction Self-Challenging Improves Cross-Domain Generalization

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-16T06:04:22.897962Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T06:04:22.897962Z digest=sha256:2d0a80fed1a1798d1ab6cb8e502802b53927f6348a8f4c3202cade4424d14dd7

Observation 9ecd1291-b1aa-4f6c-af47-2cdde9532e03 · inbound

Deep Attention Reweighting: Post-Hoc Attention-Based Feature Aggregation in CNNs for Disentangling Core and Spurious Features under Spurious Correlations cites this paper.

Deep Attention Reweighting: Post-Hoc Attention-Based Feature Aggregation in CNNs for Disentangling Core and Spurious Features under Spurious Correlations Self-Challenging Improves Cross-Domain Generalization

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-05-21T05:09:38.791258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-21T05:04:59.177437Z digest=sha256:78e903118a8e001e4526fe7fdcf570ded99e734ef25b5302137decb5d9f0fb9d