Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Benchmarking Deep AUROC Optimization: Loss Functions and Algorithmic Choices
As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2203.14177.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-05T14:49:42.900316Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-18T18:01:43.733979Z
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 1a9daf2f-ecb2-4a92-bdfc-5377cdd54649 · inbound
SincQDR-VAD: A Noise-Robust Voice Activity Detection Framework Leveraging Learnable Filters and Ranking-Aware Optimization cites this paper.
SincQDR-VAD: A Noise-Robust Voice Activity Detection Framework Leveraging Learnable Filters and Ranking-Aware Optimization Benchmarking Deep AUROC Optimization: Loss Functions and Algorithmic Choices
Reference 41
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T14:49:42.900316Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a8444ae8-e4b6-4468-b02d-ea66fdd1be61 · inbound
Benchmarking Optimization Algorithms for Automated Calibration of Quantum Devices cites this paper.
Benchmarking Optimization Algorithms for Automated Calibration of Quantum Devices Benchmarking Deep AUROC Optimization: Loss Functions and Algorithmic Choices
Reference 26
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T18:01:43.738050Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation baa41e37-2330-4227-9508-b1e0f257e3b4 · inbound
Calibration-Aware Policy Optimization for Reasoning LLMs cites this paper.
Calibration-Aware Policy Optimization for Reasoning LLMs Benchmarking Deep AUROC Optimization: Loss Functions and Algorithmic Choices
Reference 49
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T10:06:01.070794Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.