arXiv (All)
open access
TRACE: Target-Aware Retrieval, Attributed Evidence, and Contract-Constrained Extraction for LitTraceQA
Finding a relevant paper is not the same as producing a verifiable answer from it. LitTraceQA requires canonical paper identifiers, exact evidence at the page or object level, and typed answers that match the evaluator. We call the separation between source access and scorer-visible correctness the
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
- CiteGuard-RAG: A Validation-Centered AI System for Evidence-Grounded Question Answering#1109870
- Hybrid Retrieval Systems for Enterprise Knowledge#722379
- Personalizing retrieval using joint embeddings; or "The Return of Fluffy"#219331
- Attributable Post-Rationalization in RAG Citations: A Controlled Reproduction and an RLVR Comparison#1048448
- MemoNoveltyAgent: A Historical Research Memory-Aware Agent Workflow for Paper Novelty Assessment#793606
Record · ID 1143462
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