The digitization of the Chinese Buddhist Canon represents a transformative shift in Buddhist textual scholarship, enabling unprecedented access to and analysis of one of East Asia’s most extensive scriptural collections. This review examines the evolution of digital platforms, with a focus on the Chinese Buddhist Electronic Text Association (CBETA) and the SAT Daizōkyō Text Database, which have become foundational resources in the field. It evaluates their respective methodological paradigms—CBETA’s critical edition model and SAT’s interoperable, ecosystem-based approach—while highlighting their shared reliance on the Taishō Tripiṭaka as a base text. The study identifies a persistent “Taishō bottleneck,” wherein the dominance of a single edition obscures the rich textual diversity inherent in the canon’s three major lineages: Central, Southern, and Northern. By surveying newly accessible image databases of key editions such as the Zhaocheng Jin Canon 趙城金藏, Sixi Canon 思溪藏, and Qidan Canon 契丹藏, the paper argues for a paradigm shift toward a multi-lineage collation framework. The integration of artificial intelligence—particularly in OCR, text–image alignment, and semantic analysis—is presented as essential for realizing a “Hybrid Digital Canon.” This model would harmonize genealogical, media, and methodological pluralism, fostering a more nuanced and historically grounded digital philology.
Xu Zhang (Sat,) studied this question.