arXiv (OAI Expanded)
open access
Counterfactual Fragility Certificates: Exposing High-Confidence Brittleness under Structured Evidence Failure
High test accuracy and good aggregate calibration do not show whether an individual prediction is structurally supported by its evidence. In tabular decision systems, failures often occur when a feature family becomes unavailable, delayed, noisy, stale, or low-trust while the model remains highly co
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Counterfactual Fragility Certificates: Exposing High-Confidence Brittleness under Structured Evidence Failure#819818
- FragileFlow: Spectral Control of Correct-but-Fragile Predictions for Foundation Model Robustness#974415
- Don't Blame the Model, Verify the Data: An Evaluation of SMT-based Dataset Verification#1034931
- The Death of Verification. Sapere aude!#716532
- Calibrating Small Language Models for Claim Check-Worthiness Detection#820696
Record · ID 809822
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive