Unverified50% confidenceDecision RuleExact time
The uploader suggests hiding the grader outside the sandbox and always testing inputs the Agent does not know, in order to prevent reward hacking.
1
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50%
Confidence
Long-term
Relevance
10/14/2026
First Seen
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Related Claims
UnverifiedTo prevent agent objective function gaming, the scoring script should not be placed inside the workspace during automated evaluation; the scorer should be hidden outside the sandbox, and testing should always be conducted with inputs the agent does not know.78% similarUnverifiedError cascading refers to a downstream agent treating the erroneous output of one agent as trusted input for further processing; one prevention method is to allow downstream agents to proactively refuse uncertain conclusions (e.g., triggering a human fallback when returned data is insufficient).70% similarUnverifiedElicitation-based capability auditing has fundamental limitations, and relying solely on behavioral black-box or white-box elicitation testing cannot provide reliable guarantees of model safety.68% similarUnverifiedThe general approach to guarding against reward hacking is to place validation logic in a sandbox outside the agent's reach and to introduce rationality checks on the solution path during reward computation.67% similar
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