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Paper Citation Record · LEDGER

Optimizing Class-Level Probability Reweighting Coefficients for Equitable Prompting Accuracy

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2405.07623.

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

pith.paper-citation-record.v1
2405.07623 v8

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 2026-08-15T06:32:42.880941+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T01:04:36.648208Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T21:56:16.057966Z

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 c2d972c3-c160-4617-8fe9-1e4bb9ec832a · inbound

Let the Fuzzy Rule Speak: Enhancing In-context Learning Debiasing with Interpretability cites this paper.

Let the Fuzzy Rule Speak: Enhancing In-context Learning Debiasing with Interpretability Optimizing Class-Level Probability Reweighting Coefficients for Equitable Prompting Accuracy

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-11T01:04:36.648208Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T01:04:36.648208Z digest=sha256:c54d6a7e3d24f3a5f3a6e65c1e05d4d2a68487a84c7c3fb683b2a862cebaadd3

Observation e16d9605-4bbb-4094-bcf4-31785631447a · inbound

Entropy Minimization without Model Collapse: Mitigating Prediction Bias in Medical Imaging cites this paper.

Entropy Minimization without Model Collapse: Mitigating Prediction Bias in Medical Imaging Optimizing Class-Level Probability Reweighting Coefficients for Equitable Prompting Accuracy

Reference 47

Resolution
verified exact
arxiv_id, observed 2026-07-01T21:56:16.059411Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-28T15:57:22.450141Z digest=sha256:f1fb0dbc29f1922be4f5b0c880f4445ce712b5a9b490f2f40b0353963dc80dc8