Towards Automating Scientific Review with Google's Paper Assistant Tool
Artificial intelligence is driving a revolution in scientific discovery, accelerating everything from hypothesis generation to mathematical theorem proving. However, this rapid acceleration is creating a systemic challenge: traditional human peer review cannot scale to match the influx of AI-assisted science. Ultimately, to resolve this tension, we must also deploy AI to accelerate the verification and review process itself. To frame the discussion around this transition, we propose a taxonomy consisting of four progressive levels of AI-human collaboration in scientific evaluation, and discuss
Lineage graph
Paper → model → repo connections mined from source citations (Tier-1 exact match).
Why these links exist
Every edge carries a method, confidence, and the source snippet that justified it — so bad links are debuggable.
- LinkedLinked via unknownCo-Scientist: A multi-agent AI partner to accelerate research →
- LinkedLinked via unknownGemini for Science: AI experiments and tools for a new era of discovery →
- LinkedLinked via unknownSolutions, challenges and rising tensions in AI and mathematics →
- LinkedLinked via unknownAI researchers continue to leave Google for its rivals →
- LinkedLinked via unknownFabiojvv/ai-cortex-hub →
- LinkedLinked via unknownRuichen0424/ai-paper-explorer →
- LinkedLinked via unknownAnthropic’s Claude Science bets on workflow, not a new model, to win over scientists →
