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Auditable Climate Risk Intelligence from Fragmented ESG Data: Deterministic Orchestration and Imbalance-Aware Learning for Scope 1-3 Validation
Announce Type: new Abstract: ESG and climate risk data remain fragmented across heterogeneous Scope 1, Scope 2, and Scope 3 reporting environments, while conventional validation pipelines lack provenance aware auditability, hidden drift detection, and reproducibility oriented governance. This paper proposes a deterministic climate risk intelligence framework integrating single source of truth orchestration, temporal anomaly detection, imbalance aware ensemble learning, and explainability...
SCOPE: Selective Conformal Optimized Pairwise LLM Judging
Announce Type: replace Abstract: Large language models (LLMs) are increasingly used as scalable judges in pairwise evaluation, but they remain prone to miscalibration and biases. We propose SCOPE (Selective Conformal Optimized Pairwise Evaluation), a framework that calibrates an acceptance threshold so that, under exchangeability, the error rate among non-abstained judgments is at most a user-specified level $\alpha$. To supply SCOPE with a bias-neutral uncertainty signal, we introduce...
SCOPE: Self-Play via Co-Evolving Policies for Open-Ended Tasks
arXiv:2605.31433v1 Announce Type: new Abstract: Self-play can train language models without external supervision. However, existing methods require rule-checkable answers, leaving open-ended tasks dependent on curated prompts or frontier-model judges. We introduce SCOPE, a data-free self-play framework for open-ended tasks that co-evolves two policies: a Challenger that generates document-grounded tasks, and a Solver that answers them through multi-turn retrieval.
Overlaying Governance: A Compositional Authorization Framework for Delegation and Scope in Agentic AI
Announce Type: new Abstract: As AI systems evolve from passive models into autonomous active agents capable of initiating actions, collaborating, and delegating tasks, the traditional boundaries of software systems blur. Traditional authorization and delegation frameworks, built around fixed principals, explicit requests, and static scopes, are insufficient to govern agentic systems. Agentic AI demands richer authorization semantics: agents must inherit and delegate permissions, act under...
Practical Algebraic Stepping with Scoped Filters
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From Statute to Control Flow: Span-Grounded Deontic Trees for Defeasible Scope Parsing
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An Organization-Scoped LLM Agent Runtime Architecture for Regulated Cybersecurity Operations
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Trump’s UFC arena towers over the White House as new photo shows scope of event
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Starmer has nowhere left to hide as scope of Mandelson documents threatens to engulf Labour
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Hong Kong seeks to define scope of national security cases ‘as soon as possible’
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