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Paper Citation Record · LEDGER

Prediction-Powered Risk Monitoring of Deployed Models for Detecting Harmful Distribution Shifts

As of 7 August 2026, this Paper Citation Record lists 2 of 2 outbound references and 0 inbound Pith citation observations for arXiv:2602.02229.

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

pith.paper-citation-record.v1
2602.02229 v2

Coverage vector

measured 2 of 2 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T05:30:50.834686Z

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

2 of 2 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved2
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 207eb3c4-a429-4c91-86b3-50145f8bbb41 · outbound

This paper cites Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution.

Prediction-Powered Risk Monitoring of Deployed Models for Detecting Harmful Distribution Shifts Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

Reference 210

Resolution
unresolved
no resolver link, observed 2026-08-03T05:30:50.834686Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T05:30:50.834686Z digest=sha256:4d8408b552c84e0175cd9d50017442763fadc1f6c2e7903560dc8bf38764acab

Observation d7748025-a35f-4884-a999-4929bb2584cc · outbound

This paper cites Benchmarking Large Language Models on CMExam -- A Comprehensive Chinese Medical Exam Dataset.

Prediction-Powered Risk Monitoring of Deployed Models for Detecting Harmful Distribution Shifts Benchmarking Large Language Models on CMExam -- A Comprehensive Chinese Medical Exam Dataset

Reference 3130

Resolution
unresolved
no resolver link, observed 2026-08-03T05:30:50.689747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T05:30:50.689747Z digest=sha256:1c1c96f16456c2e10dc9be1dc5f47017cd3af4930530b1874ee48348bac0023b

Pith citing papers

No inbound Pith citation observations are available.