·
DataBubble
  • Home
  • Models
  • News
  • Compare
  • Boards
  • Pricing
  • About
  • Newsletter
  • Methodology
  • Contact
Latest
Meta-ethics and AI: exploring the novel meta-ethical questions in the era of AI1h◆SSAKG 2.0: An Open-Source Package for Structural Associative Sequence Memory and Context-Based Retrieval1h◆Epistemic Sybil Resistance: Multiplying AI Agents Without Multiplying Evidence1h◆The Ceiling Is in the Channel: Auditing Learner Gaps and Measurement Frontiers in Clinical Prediction1h◆Looped Transformers under the Jacobian Lens: Does the Global Workspace Survive Recurrence?1h◆Post-Training Ternarization of Qwen3-4B Capability, Effective Bit Budget, Storage Compression, and Deployment1h◆Benchmarking Language Models for Statistical Problem Formulation1h◆When Agents Implement Systems: A Case Study in Defects, Detection, and Evaluation Rigor1h◆ClaimReceipt: Verifying Evidence Sufficiency and Coverage in Agent Evaluations1h◆HeadWiseKV: Budgeted Per-Head Cache Residency for Hybrid Long-Context Language Models1h◆Monitoring Web Agents Without Internal Signals: Observable Trajectories and Key-Step Supervision1h◆DocHop: Benchmarking Out-of-domain Multi-hop Reasoning in Information-Dense Documents1h◆MineTRACE: An Evidence-Grounded Interactive Reasoning System for Mineral Prospectivity1h◆ToolGate: An Executable Acceptance Pipeline for Tool-Dependent Scientific Benchmark Construction1h◆CHIME: Credit-Aware Hierarchical Memory Evolution for Long-Horizon Agentic Planning1h◆Beyond Outcome Gaps: Process-Aware Fairness Diagnosis for LLM-based Multi-Agent Decision Systems1h◆MASkills: Continual Skills Optimization for Multi-Agent LLM Systems1h◆READY or Not: Reliable Enterprise Agent Deployment1h◆Semantic Signal-Assisted Inspection and Recovery Allocation in Reverse Logistics1h◆Beyond Context Windows: Persistent Discovery Context for Data-Centric Agents1h◆Meta-ethics and AI: exploring the novel meta-ethical questions in the era of AI1h◆SSAKG 2.0: An Open-Source Package for Structural Associative Sequence Memory and Context-Based Retrieval1h◆Epistemic Sybil Resistance: Multiplying AI Agents Without Multiplying Evidence1h◆The Ceiling Is in the Channel: Auditing Learner Gaps and Measurement Frontiers in Clinical Prediction1h◆Looped Transformers under the Jacobian Lens: Does the Global Workspace Survive Recurrence?1h◆Post-Training Ternarization of Qwen3-4B Capability, Effective Bit Budget, Storage Compression, and Deployment1h◆Benchmarking Language Models for Statistical Problem Formulation1h◆When Agents Implement Systems: A Case Study in Defects, Detection, and Evaluation Rigor1h◆ClaimReceipt: Verifying Evidence Sufficiency and Coverage in Agent Evaluations1h◆HeadWiseKV: Budgeted Per-Head Cache Residency for Hybrid Long-Context Language Models1h◆Monitoring Web Agents Without Internal Signals: Observable Trajectories and Key-Step Supervision1h◆DocHop: Benchmarking Out-of-domain Multi-hop Reasoning in Information-Dense Documents1h◆MineTRACE: An Evidence-Grounded Interactive Reasoning System for Mineral Prospectivity1h◆ToolGate: An Executable Acceptance Pipeline for Tool-Dependent Scientific Benchmark Construction1h◆CHIME: Credit-Aware Hierarchical Memory Evolution for Long-Horizon Agentic Planning1h◆Beyond Outcome Gaps: Process-Aware Fairness Diagnosis for LLM-based Multi-Agent Decision Systems1h◆MASkills: Continual Skills Optimization for Multi-Agent LLM Systems1h◆READY or Not: Reliable Enterprise Agent Deployment1h◆Semantic Signal-Assisted Inspection and Recovery Allocation in Reverse Logistics1h◆Beyond Context Windows: Persistent Discovery Context for Data-Centric Agents1h◆
News/MineTRACE: An Evidence-Grounded Interactive Reasoning System for Mineral Prospectivity
arxiv
PublishedSeptember 3, 2026 at 4:00 AM

MineTRACE: An Evidence-Grounded Interactive Reasoning System for Mineral Prospectivity

Source
arxiv.orgfull article ↗
Read on arxiv→
Publisher summary· verbatim

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 ex

Stay posted· Newsletter

A 5-min weekly brief — top movers, price watch, story of the week.

// no spam · unsubscribe one-click · free forever

Discussion
Source
↗
arxiv
Read original ↗All from arxiv →

No replies yet. Be first.

Source
↗
arxiv
Read original ↗All from arxiv →

Related coverage

More from ARXIV
arxivMeta-ethics and AI: exploring the novel meta-ethical questions in the era of AI1harxivSSAKG 2.0: An Open-Source Package for Structural Associative Sequence Memory and Context-Based Retrieval1harxivEpistemic Sybil Resistance: Multiplying AI Agents Without Multiplying Evidence1harxivDocHop: Benchmarking Out-of-domain Multi-hop Reasoning in Information-Dense Documents1h
The Bubble Brief
WEEKLY

Read AI insights every Tuesday — top movers, new releases, story of the week.

// no spam · unsubscribe one-click · free forever

Originally published on arxiv ↗
HomeModelsNews