arXiv (All)
open access
InfoAgent: Traceable Generation and Repair of Evidence-Grounded Infographics
Reliable infographic generation requires facts, symbols, and visual relations to remain consistent through rendering and revision. Correcting one element also requires tracking its supporting evidence and the dependencies affected by the change. We present \textbf{InfoAgent}, a training-free framewo
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
- How Does Title Framing Influence Pattern Identification in Line Charts?#1123816
- SketchFlow: Zero-Shot Vector Sketch Generation via GMM Prior Flow in CLIP Latent Space#793886
- SketchFlow: Zero-Shot Vector Sketch Generation via GMM Prior Flow in CLIP Latent Space#789867
- PolyOCR-Venus: Unified OCR Foundation Models for Text-Centric Visual Intelligence#1142024
- Supporting materials for "Evaluating Layered Drift in Text-to-Video Systems: Semantic, Structural, and Narrative Instability in AI-Assisted Video Design"#175895
Record · ID 1144347
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