TADI: Tool-Augmented Drilling Intelligence via Agentic LLM Orchestration over Heterogeneous Wellsite Data
2026-05-05T08:52:10Z•276db49ff5632add07e1cec95cd4675ae65e3ccef5eefb3c4fe703878841e409
LLM safetyRLHF/DPOagentic AIbenchmarksdata fusiondecentralized systemsevaluation metricsexplainabilityjailbreak analysismechanistic interpretabilitymilitary applicationspreference optimizationreputation systemssynthetic datasetstool-augmented agents
What happened
Collection of recent arXiv papers (May 5, 2026) on agentic LLM systems, tool-augmented reasoning, safety, evaluation benchmarks, and decentralized agent marketplaces. Highlights: TADI — a reproducible tool-augmented system that fuses heterogeneous wellsite data (DuckDB + ChromaDB) for evidence-grounded drilling analytics and proposes an Evidence Grounding Score; AgentReputation — a three-layer decentralized reputation framework with verification regimes and context-conditioned reputation cards for agentic AI marketplaces; LOCA — a method for producing local, causal explanations of jailbreaks (
Why it matters
A reviewed impact interpretation has not been published for this record.
Evidence and limitations
- Source ID
- arxiv_cs_ai
- Record identifier
- 276db49ff5632add07e1cec95cd4675ae65e3ccef5eefb3c4fe703878841e409
- Enrichment time
- 2026-05-05T08:52:10Z
- AI-assisted enrichment
- Yes
This record may overlap with other records. Its enrichment can be incomplete or wrong, and machine assistance was used. Validate consequential decisions against the linked source and your own environment.