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Emerging Open Research Engine

Research.
Document.
Build.

PORE is Poorvam’s open research engine for living project curricula, canonical classical text corpora, AI research intelligence, and field archival documentation across India’s intellectual, literary, and artistic traditions.

Poorvam Open Research Engine (PORE) Logo
Open Infrastructure Initiative
05 Pillars
Core Research Domains
100% Open
Public Access Architecture
Canonical Corpora
Multilingual Treatises & Metrical Data
Living Curricula
Cross-Disciplinary Inquiry Dossiers
01 — Foundational Vision

Research does not begin and end with a paper.

It begins with essential questions, manuscripts, observations, living traditions, and empirical evidence.

Traditional academic journals typically publish only the final finished paper, keeping the empirical journey, source archives, raw field documentation, and computational foundations hidden or lost.

PORE unites these fragmented threads into an evolving, living research infrastructure dedicated to the deep study of India’s civilisational, artistic, and intellectual legacy.

The Poorvam Distinction
Publishing publishes. PORE researches.

While Poorvam’s publishing verticals (PIJCACE, Ideas, and Ānupūrvī) peer-review, curate, and disseminate scholarly articles, PORE serves as the underlying engine where inquiry is formulated, evidenced, and documented.

Indian Palm-leaf Manuscript Art
Archival Primary Sources

Preserving the Empirical Journey

Connecting historical palm-leaf manuscripts and classical treatises directly with machine-readable computational models and living research curricula.

Digital Epigraphy IAST Transliteration Metrical Schemas
Research Engine Pipeline

From Source to Scholarly Synthesis

How PORE systematically bridges canonical manuscripts, computational intelligence, and modern scholarly publishing.

01 • Ingestion
02 • Apparatus
03 • Synthesis
04 • Intelligence
Manuscript Ingestion
Primary Digitisation
STEP 01 Ingestion

Primary Text Digitisation

Ingesting and structuring canonical Sanskrit treatises, verses, commentary lineages, and philosophical texts with CTS URN locators.

CTS URN Devanāgarī Critical Editions
Metrical & Lexical Layer
Philological Apparatus
STEP 02 Apparatus

Metrical & Lexical Layer

Tagging meter patterns, grammatical morphemes, word-by-word glossaries, and interlinear English & Hindi translations.

Chandas Meters Vyākaraṇa Lemmatization
Inquiry Question Dossiers
Living Curricula
STEP 03 Synthesis

Inquiry Question Dossiers

Curating living research curricula that connect primary verses with peer-reviewed journal papers, essays, and masterclasses.

Multi-Vertical Peer-Reviewed Interdisciplinary
TattviqAI Intelligence
AI Intelligence
STEP 04 Intelligence

TattviqAI Semantic Layer

Providing researchers with deep semantic indexing, cross-textual lineage tracing, and open machine-readable datasets.

Semantic Vectors Zero Hallucination Lineage Tracing
02 — Architecture

The Five Core Pillars

The long-term PORE ecosystem is organized around five interlinked pillars of research, stewardship, and computational inquiry.

2 Active Pillars 3 Upcoming Pillars
PILLAR 03

TattviqAI

Research-oriented artificial intelligence intelligence layer built strictly around PORE’s structured research corpus to facilitate semantic cross-textual lineage tracing.

PILLAR 04

Field Research

Primary empirical research involving fieldwork, oral testimonies, performance traditions, and direct engagements with living practitioners and traditional knowledge keepers.

PILLAR 05

Documentation

Systematic cataloging of manuscripts, cultural materials, temple epigraphy, architectural motifs, and oral archives with permanent identifiers for scholarly longevity.

03 — Research Intelligence

TattviqAI

A domain-informed research intelligence layer built strictly around PORE’s canonical corpus. Designed not to generate hallucinatory summaries, but to assist scholars with verifiable cross-textual lineage tracing.

Architectural Planning Phase • Verified Corpus Grounding

Cross-Textual Lineage Tracing

Mapping how specific philosophical concepts, terms, and sutras evolve across centuries of classical commentaries.

Morphological & Sandhi Resolution

Segmenting compound words (Samāsa) and analysing grammatical morphemes based on traditional Pāṇinian vyākaraṇa rules.

Evidential Source Provenance

Every computational output links directly back to verified manuscript editions and verified citations, ensuring zero hallucination.

04 — Institutional Commitments

Core Principles of Open Research

Openness in PORE is defined by scholarly transparency, evidential integrity, and responsible knowledge preservation rather than mere public distribution.

Documented Research

Comprehensive methodology, audit trails, and archival provenance for all research inquiries and corpus transcriptions.

Transparent Sources

Explicit tracking of manuscripts, critical editions, historical commentaries, and bibliographic lineages.

Structured Knowledge

Organising disparate cultural and textual materials into consistent, machine-readable JSON schemas and CTS URN locators.

Open Corpora & Data

Providing documented text corpora and datasets that external scholars and students can independently inspect and cite.

Accessible Outputs

Ensuring all research findings and primary reading environments reach readers and institutions without commercial paywalls.

Ethical Stewardship

Adhering strictly to informant permissions, cultural sensitivities, copyright laws, and customary traditions.

Explore the Research Infrastructure

Start by browsing our canonical classical Sanskrit library or discover our active multidisciplinary research question dossiers.

Browse Classical Corpus Explore Research Inquiries
PORE PORE • Poorvam Open Research Engine • Dhvani Publication