TRACE: A Multi-Agent System for Autonomous Physical Reasoning for Seismology
Modern seismic networks resolve earthquake sequences in unprecedented detail, yet explaining how large earthquakes emerge from evolving fault systems remains difficult. We introduce TRACE, a seismology-guided artificial intelligence agent that plans and executes workflows while preserving auditable evidence chains from observations to physical interpretation. We evaluated TRACE through 104 benchmark tasks and two complementary earthquake sequences. For the well-studied 2019 Ridgecrest sequence, TRACE constructed a high-resolution catalog from continuous waveforms and retrospectively recovered delayed cascading activation between the Mw 6.4 and Mw 7.1 earthquakes without a prescribed targe...
| Authors | Feng Liu, Xin Cui, Jian Xu et al. |
|---|---|
| Primary category | physics.geo-ph |
| Published | 22 March 2026 |
| Last updated at source | 30 September 2026 |
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