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Paper Citation Record · LEDGER

Coping with Label Shift via Distributionally Robust Optimisation

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2010.12230.

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

pith.paper-citation-record.v1
2010.12230 v3

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 2026-08-06T06:34:29.942622+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:45:34.562873Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T19:45:34.610447Z

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 8a6d6df9-9eff-4803-8b6e-af3aa8d218af · inbound

Machine Learning from Explanations cites this paper.

Machine Learning from Explanations Coping with Label Shift via Distributionally Robust Optimisation

Reference 12

Resolution
verified exact
local_arxiv, observed 2026-08-06T19:45:34.617545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T19:45:34.562873Z digest=sha256:a0d9c352c6d4538fc5fe183ae1cbf0044b14c8fc3c6bb780ed51a8759b657d06

Observation 3ef4b572-b385-4f73-a488-bbb104fe6701 · inbound

InfoDense: Density-Aware Regional Decisive Replay for Memory-Efficient Incremental Face Forgery Detection cites this paper.

InfoDense: Density-Aware Regional Decisive Replay for Memory-Efficient Incremental Face Forgery Detection Coping with Label Shift via Distributionally Robust Optimisation

Reference 138

Resolution
unresolved
no resolver link, observed 2026-08-01T19:47:39.964010Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T19:47:39.964010Z digest=sha256:eab126f3328133c1066b1d4a6963488b93ef55e6990d9a3eb07c8218293bec9d