{"paper":{"title":"Pretrain-to-alignment learning paradigm to improve geophysical AI applicability under scarce field labels and synthetic-to-field gaps: A case study of relative geologic time estimation in global shelf-edge clinothems","license":"http://creativecommons.org/licenses/by/4.0/","headline":"A pretrain-to-alignment paradigm enables accurate geophysical AI despite scarce labels and synthetic-to-field gaps.","cross_cats":[],"primary_cat":"physics.geo-ph","authors_text":"Hui Gao, Jiarun Yang, Xinming Wu, Yimin Dou, Zhixiang Gao","submitted_at":"2026-05-16T03:34:51Z","abstract_excerpt":"Artificial intelligence (AI) has been increasingly applied to various geophysical scenarios, yet its practical deployment remains limited by scarce field labels, pronounced synthetic-to-field domain gaps, and insufficient physical consistency under complex and variable field conditions. To address these challenges, we propose a pretrain-to-alignment learning paradigm that systematically integrates self-supervised pretraining, synthetic supervision, prior-driven refinement, and domain-adaptation fine-tuning into a unified progressive learning workflow. In this paradigm, geophysical AI models ar"},"claims":{"count":4,"items":[{"kind":"strongest_claim","text":"Results from 3,000 field datasets spanning multiple sedimentary basins demonstrate that the proposed paradigm achieves accurate, robust, and well-generalized performance across diverse field surveys, while significantly improving fine-scale stratigraphic and structural details.","source":"verdict.strongest_claim","status":"machine_extracted","claim_id":"C1","attestation":"unclaimed"},{"kind":"weakest_assumption","text":"That sequential integration of self-supervised pretraining, synthetic supervision, prior-driven refinement, and domain-adaptation fine-tuning will progressively build field-relevant representations and task-specific mapping without introducing inconsistencies or overfitting to the synthetic domain.","source":"verdict.weakest_assumption","status":"machine_extracted","claim_id":"C2","attestation":"unclaimed"},{"kind":"one_line_summary","text":"Introduces a staged 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