Bibliographic record
Abstract
This article examines a newly discovered and recently published Sanskrit manuscript of the Jayamatiparipṛcchāsūtra (“Inquiry of Jayamati”) and documents its relationship, previously unrecognized, as part of the Śūraṃgamasamādhisūtra (“The Concentration of Heroic Progress”). While both texts are classified as Mahāyāna sūtras, the Jayamatiparipṛcchā depicts its content as spoken by the Buddha while the Śūraṃgamasamādhi represents exactly the same content, spoken by Jayamati, as a “lower” view of the Buddha’s teachings. As the modern study of Mahāyāna sūtra literature has produced only a handful of confirmed cases of shared textual material between sūtras, the identification documented here provides important evidence for how authorial communities compiled and redacted “Mahāyāna” Buddhist texts.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.011 | 0.019 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".