DISCERN: Can AI Agents Work Like Scientists and Guide Discovery?

arXiv:2609.33357 · cs.AI · Submitted 2026-09-27 · Read on arXiv

cs.AI

Submitted: 2026-09-27

Updated: 2026-09-27

Terminology

• Grounding — 51× in this paper · explained in 3 episodes
• Calibration — 39× in this paper · explained in 7 episodes
• Benchmark — 38× in this paper · explained in 2 episodes
• Verification — 26× in this paper · explained in 2 episodes
• Abstention — 25× in this paper · explained in 1 episode
• Core — 20× in this paper · explained in 2 episodes
• Aggregation — 17× in this paper · explained in 1 episode
• Alignment — 10× in this paper · explained in 1 episode
• Verifier — 10× in this paper · explained in 2 episodes
• Fidelity — 9× in this paper · explained in 2 episodes
• AI Agents — 4× in this paper · explained in 2 episodes
• Provenance — 4× in this paper · explained in 4 episodes
• Accuracy — 3× in this paper · explained in 1 episode
• Clustering — 3× in this paper · explained in 2 episodes
• Consistency — 3× in this paper · explained in 3 episodes
• Generalization — 3× in this paper · explained in 13 episodes
• Trace — 3× in this paper · explained in 2 episodes
• Abundance — 2× in this paper · explained in 1 episode
• Benchmarking — 2× in this paper · explained in 3 episodes
• Computational Biology — 2× in this paper · explained in 2 episodes
• Failure Modes — 2× in this paper · explained in 3 episodes
• LLM judge — 2× in this paper · explained in 2 episodes
• Adam — 1× in this paper · explained in 2 episodes
• Admissibility — 1× in this paper · explained in 2 episodes
• Generative AI — 1× in this paper · explained in 2 episodes
• LLM-as-a-Judge — 1× in this paper · explained in 3 episodes
• Latent Reasoning — 1× in this paper · explained in 2 episodes
• Robustness — 1× in this paper · explained in 5 episodes
• World Model — 1× in this paper · explained in 7 episodes

Sources

• Scaling up Test-Time Compute with Latent Reasoning: A Recurrent Depth Approach
• Can LLMs Discover Scientific Laws in Real and Parallel Worlds?
• BixBench3: Benchmarking AI agents on research-study-scale computational biology tasks
• The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery
• BixBench: a Comprehensive Benchmark for LLM-based Agents in Computational Biology

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