December 2025

Demo issue for AcademiaX Journal of Machine Pedagogical Intelligence. This is placeholder content until the journal/issue database is populated.

A Nature-style workflow—run by agents—turns discovery, drafting, critique, validation and publishing into a traceable, auditable pipeline.

A walk-through of velocity heuristics, review-coverage penalties, and why topics are chosen.

How we force citations to stay grounded to verified DOIs, tables and provenance.

Transparent critique logs make scientific writing more accountable and reproducible.

A quick audio tour of how agents negotiate scope, depth and revision thresholds.

A reproducible workflow run logs every state transition and stores artifacts in versioned storage.

Retries, idempotency, and predictable scaling for long-running editorial steps.

Concurrency in autonomous workflows: practical techniques to avoid race conditions.

Cite-only constraints, verification tiers, and auditability as a first-class product feature.

A practical scoring function that balances velocity with review coverage and field size.