Scholarly Indexing Pipeline
We will ingest metadata, abstracts, identifiers, and citation edges from trusted scholarly sources, then serve low-latency retrieval from a unified scholarly index.
Build Plan
LLM-Assisted Search
Search will use an LLM to rewrite ambiguous queries, expand domain terminology, and rerank results with citation-aware reasoning.
Source-Linked Reading Context
Every result will keep source provenance explicit and provide concise context panels, so users can inspect evidence before jumping to the canonical destination.
Search Teaser
Mock search output for the planned index + LLM experience. Content below is illustrative and shows the intended interaction style.
arXiv + Crossref
Calibrated Long-Context Retrieval for Evidence-Grounded Generation
Introduces a retrieval calibration layer that reduces unsupported claims by ranking context windows with citation overlap and contradiction checks across benchmark suites.
PubMed + Scopus
Clinical Evidence Mapping for Transformer-Based Decision Support
Maps evidence certainty to model recommendations in hospital workflows, with source-level confidence weighting and retraction-aware reference tracking.
Web of Science + OpenAlex
Graph-Aware Literature Indexing for Multi-Repository Scholarly Search
Proposes schema alignment for heterogeneous publication catalogs and demonstrates precision gains through graph-constrained reranking over merged citation networks.
LLM on Search
Intent and Query Expansion
LLM search understands researcher intent, expands synonyms and methods, and transforms short prompts into high-recall, academically grounded queries.
- Disambiguates mixed-domain terms automatically
- Suggests adjacent subtopics for broader recall
- Keeps query edits transparent to the user
Evidence-Aware Explanations
LLM responses will explain ranking decisions with cited snippets, helping users quickly evaluate whether a result is methodologically relevant.
- Natural-language relevance summaries
- Claim-to-source traceability for trust
- Fast compare mode across top candidates
Teaser
Not another paper repository. An index with LLM-native search.
This teaser shows where we are headed: source-linked paper discovery, intelligent retrieval, and explainable search workflows for faster literature review.