Volume Two · Six Practice Gates

The Practice of Giving

From Pāli Roots to the Dharmadhātu — thirty-one papers tracing dāna across Pāli, Āgama, Vinaya, early Mahāyāna, Prajñāpāramitā, Śūraṅgama, Lotus, Avataṃsaka, and a contemporary coda

Author釋慧鏡 (Shi Huijing)
LicenseCC BY-NC-SA 4.0

Giving — the first of the six pāramitās. The DĀNA volume locates giving inside the full Mahāyāna architecture rather than reducing it to material generosity: dharma-giving, fearlessness-giving, non-giving, and the non-dual handling of the giver–gift–recipient triad.

Nine Parts trace the trajectory: from the Pāli roots where dāna first crystallizes as a faculty alongside cāga, through the Āgama corpus where the eight bases and the Velāma exemplar arrange the practice, through the Vinaya schools where the saṅgha emerges as a field of merit and abhayadāna takes shape, into the early Mahāyāna turn that reframes dāna as dāna-pāramitā with the threefold purity of giver, gift, and recipient resolving into emptiness, into the Prajñāpāramitā tradition where giving becomes formless under emptiness's protection, through the Śūraṅgama's reverse-giving thesis where not-taking itself is inscribed as the precondition of giving, into the Lotus's gift of body and life, up to the Avataṃsaka's dharmadhātu offering, and closing on a contemporary diagnosis and an AI-age coda.

Thirty-one papers across nine Parts — Volume Two complete. Each paper stands alone as a technical analysis; read in sequence, they trace one continuous argument from cāga as a faculty of stream-entry, through the threefold purity and the Śūraṅgama's reframing of not-stealing as itself a doctrine of dāna, to the dharmadhātu offering and the place to begin.

Table of contents

Part IPāli Roots3 papers
Part IIĀgama View5 papers
Part IIIVinaya Schools2 papers
Part IVEarly Mahāyāna4 papers
Part VNon-Abiding Giving3 papers
Part VIThe Śūraṅgama Reverse3 papers
Part VIIThe Gift of Body and Life3 papers
Part VIIIDharmadhātu Offering5 papers · volume centerpiece
Part IXModern Diagnosis & AI Coda3 papers · volume close