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Paper Citation Record · LEDGER

Maximum Likelihood with Bias-Corrected Calibration is Hard-To-Beat at Label Shift Adaptation

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1901.06852.

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

pith.paper-citation-record.v1
1901.06852 v5

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 2026-08-10T06:31:04.303077+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T11:54:05.027463Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T06:21:28.871453Z

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 4ae42b5b-19ce-4f3d-9d18-3d2bcf631ac4 · inbound

Addressing Label Shift in Distributed Learning via Entropy Regularization cites this paper.

Addressing Label Shift in Distributed Learning via Entropy Regularization Maximum Likelihood with Bias-Corrected Calibration is Hard-To-Beat at Label Shift Adaptation

Reference 2000

Resolution
unresolved
no resolver link, observed 2026-08-09T11:54:05.027463Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T11:54:05.027463Z digest=sha256:c4505703ce491d73202efc8c0fc2a89e44adc371a30baae89cc6ac7e6e08fc60

Observation 2b6def41-65ff-4633-9a8e-313c83cca6cc · inbound

The Statistical Cost of Adaptation in Multi-Source Transfer Learning cites this paper.

The Statistical Cost of Adaptation in Multi-Source Transfer Learning Maximum Likelihood with Bias-Corrected Calibration is Hard-To-Beat at Label Shift Adaptation

Reference 144

Resolution
verified exact
arxiv_id, observed 2026-05-12T06:21:28.874180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-12T04:19:05.837824Z digest=sha256:03a1371fdd308575cdf2e680ebd983d352f471c12f71cb0e4f7a9c1b4837ff06