Run 8ed3a02b-2b8c-4e88-8194-497cc21124e9
Articles Found
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Candidates New
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Prefilter Passed
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Primary Bypass Passed
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Events Analyzed
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LLM Calls
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Alerts Sent
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Errors
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Pending Reanalysis
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Evidence Reanalysis
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Analysis Retries
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LLM Call Limit Reached
No
Discarded
No discards recorded.
LLM Usage
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Estimated Cost
Cost estimation not configured
Events Analyzed
34
PHIRL: Aligning Learned Rewards with Task Progress for Inverse Reinforcement Learning
64
Contract monitoring: governing AI via separation of powers
59
Black-Box Auditing of Epistemic Reliability in Multi-Agent Debate Distillation
73
Reward Hacking and Agent Containment Failure: A Monte Carlo Study Based on the 2026 Hugging Face Incident
64
RMB: Reward Model Boosting Mitigates Reward Hacking
54
RewardExplainer: Learning Reward Model Explanations from Counterfactual Preference Feedback
73
Maintaining Benchmarks Against Increasingly Capable Agents: Detection and Remediation of Unearned Passes
39
How we will do better for Australia