SPIN Unprocessed September 3, 2026 ai_technology research
MineTRACE: An Evidence-Grounded Interactive Reasoning System for Mineral Prospectivity
View original on arxiv.orgOverview
arXiv:2609.02060v1 Announce Type: new Abstract: Mineral exploration requires integrating heterogeneous geochemical, geophysical, and geological evidence, yet existing prospectivity systems often provide only opaque scores or heatmaps. We present MineTRACE, a web-based system for evidence-grounded exploration of eight commodities: Cu, Au, Ni, W, Sn, Co, Ta, and Mn. Users can explore prospectivity maps, query locations or regions, inspect supporting evidence, and interact through natural language.
SpinGraph analysis pending — check back after processing.
Ask AI about this story
Opens with the SpinGraph .md URL and structured context — one click, prompt included.
More from arXiv Artificial Intelligence
View all →- DocHop: Benchmarking Out-of-domain Multi-hop Reasoning in Information-Dense Documents
- Monitoring Web Agents Without Internal Signals: Observable Trajectories and Key-Step Supervision
- HeadWiseKV: Budgeted Per-Head Cache Residency for Hybrid Long-Context Language Models
- ClaimReceipt: Verifying Evidence Sufficiency and Coverage in Agent Evaluations
- When Agents Implement Systems: A Case Study in Defects, Detection, and Evaluation Rigor
- Benchmarking Language Models for Statistical Problem Formulation
Markdown (.md) · JSON-LD schema (.json) · Machine-readable for AI & GEO