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  3. Benchmarking Reward Hack Detection in Code Environments via
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Benchmarking Reward Hack Detection in Code Environments via Contrastive Analysis

Fresh1d ago
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Viability
0.0/10

Compared to this week’s papers

Evidence Receipt

Freshness: 2026-04-02T02:30:40.136932+00:00

Claims: 0

References: 46

Proof: pending

Distribution: unknown

Source paper: Benchmarking Reward Hack Detection in Code Environments via Contrastive Analysis

PDF: https://arxiv.org/pdf/2601.20103v1

First buyer signal: unknown

Distribution channel: unknown

Starting…

Dimensions overall score 6.0

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Keep exploring

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When Reward Hacking Rebounds: Understanding and Mitigating It with Representation-Level Signals
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Reward Hacking as Equilibrium under Finite Evaluation
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The Obfuscation Atlas: Mapping Where Honesty Emerges in RLVR with Deception Probes
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Long-form RewardBench: Evaluating Reward Models for Long-form Generation
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Prior Work
RewardHackingAgents: Benchmarking Evaluation Integrity for LLM ML-Engineering Agents
Score 6.0stable
Higher Viability
Countdown-Code: A Testbed for Studying The Emergence and Generalization of Reward Hacking in RLVR
Score 7.0up
Higher Viability
Code-A1: Adversarial Evolving of Code LLM and Test LLM via Reinforcement Learning
Score 7.0up

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