arXiv (All)
open access
When a Data Artifact Isn't a Shortcut: Causal Auditing of Synthetic RLVR Corpora
Several recent pipelines build RLVR training data by masking a span of real corpus text and asking a language model to invent plausible wrong answers around it. The correct option is therefore genuine human prose; every distractor is synthetic. Correctness and provenance become entangled, and a poli
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
- Detect, Remask, Repair: Diffusion Editing for Faithful Summarization of Evolving Contexts#927346
- Beyond Fodor's Paradox: How Temporal Recursion Generates Conceptual Novelty#76582
- Chronicle: Cut-Point Replay for Regression Testing of LLM Agents#1034432
- Chronicle: Cut-Point Replay for Regression Testing of LLM Agents#978466
- Affix Cache for Diffusion Large Language Models#1117561
Record · ID 1154825
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