Grigorios Alexandrou | Search arXiv

arXiv2026

A Multi-Agent Orchestration Framework for Venture Capital Due Diligence

We present a fully automated multi-agent framework for corporate due diligence and market analysis in venture capital. The system runs on an event-driven orchestration architecture, combining Large Language Models (LLMs) with real-time web retrieval to synthesize unstructured data into structured investment intelligence. A central technical contribution is a programmatic extraction pipeline that reverse-engineers the frontend-to-backend communication of the Greek Business Registry ($Γ$.E.MH.), querying dynamic endpoints to retrieve official financial filings that are then parsed using a layout-aware OCR extractor. A structural fallback mechanism explicitly flags data absence rather than generating unverified figures, directly targeting hallucination in financial contexts. All workflow artifacts are publicly available to support replication.

cs.MA↗

arXiv2026

Citation Cliques in Low Impact Journals

This exploratory study examines how low-impact journals, defined through subject-normalized Eigenfactor percentiles, are associated with denser and more reciprocating patterns of author-to-author citations. Using Crossref records, we assign journals to broad subject areas, compute subject-specific Eigenfactor scores, propagate venue quality to works and authors, match authors in low- (Case) versus high-influence (Control) venues by subject and h5, and analyze citation edges for cohesion and anomalies. Across a 10% sample of 9,431 matched pairs, authors in low-impact venues exhibit significantly higher cohesion: 6.7x higher co-author citation rates and 4.7x higher reciprocity in the aggregate Case-Control comparison. A subject-aware hybrid detection pipeline flags 277 outliers with 93.5% Case purity; these outliers display an 11x clique-strength lift relative to non-outliers, revealing a stark "Two Worlds" segregation (r = 0.71) where low-impact venues operate as closed citation economies. The largest detected component (n = 23) displays a hub-and-spoke topology in which peripheral "Sycophants" funnel citations to central "Beneficiaries" through coordinated bursts, confirming a directed flow imbalance rather than reciprocal exchange among equals. Overall, cohesion, rather than broad asymmetry, accounts for the main Case-Control differences, suggesting that low-impact venues foster segregated, inward-looking citation economies that distort bibliometric indicators.

cs.DL↗