arXiv (All)
open access
ReuScope: Auditing Data Reuse and Evaluation Sensitivity in Capsule Vision 2024
We develop ReuScope, a protocol for auditing data reuse and evaluation sensitivity, using Capsule Vision 2024 as a case study. It combines measurements of data relationships with two comparisons: changing the evaluation population while holding predictions fixed, and changing training data while hol
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
- ReuScope: Auditing Data Reuse and Evaluation Sensitivity in Capsule Vision 2024#1514969
- DeCoRL: Decomposed Consistency Reinforcement Learning for Multi-Image Composition#1490660
- CellScientist: From Execution Feedback to Auditable Model-Revision Trajectories for Cellular Perturbation Prediction#1117398
- Beyond Plausibility: Verifiable Fine-Grained Image Editing on Structured Assets#1200032
- Towards Characterizing Scientific Image Utility and Upgradability#987695
Record · ID 1535156
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