citations
5 stories filed under citations on Beyond Market Intelligence. The newest of them: “Why Google Scholar citations lag behind your published research”, “Production RAG's Missing Piece: Confident Answers, Honest Refusals”, and “Streamline Your PhD: Four AI-Powered Research Tasks”. Seeing your citations on arXiv but missing from Google Scholar is a familiar frustration for early-career researchers. Moving a RAG prototype to production means confronting the gap between demos and dependable answers. Acme AI is the next-generation, AI-powered spreadsheet platform built to replace Excel and redefine how analysts, data scientists, and enterprise teams work… The list below is every citations story on Beyond Market Intelligence, newest first.
Why Google Scholar citations lag behind your published research
Seeing your citations on arXiv but missing from Google Scholar is a familiar frustration for early-career researchers. That lag isn't a one-time glitch, it's a known delay in how Google Scholar indexes new citations. You're not alone in waiting months for updates to appear. Instead of checking Scholar obsessively, consider exploring how smarter resource management, like batching in AI, can transform your research workflow and keep your focus on the work that earns those citations.
Production RAG's Missing Piece: Confident Answers, Honest Refusals
Moving a RAG prototype to production means confronting the gap between demos and dependable answers. The checklist we needed focuses on citations for every response, the confidence to refuse when context is insufficient, and access control that resists clever workarounds. Ingestion should never block a user. This is about building trust through honesty. For a deeper look at how systems handle uncertain inputs, our guide on multi-armed bandit simulations offers a useful parallel. Watch the full breakdown here.
Streamline Your PhD: Four AI-Powered Research Tasks
A PhD thesis is a marathon of small, tedious tasks that drain your energy before the big finish. This guide cuts through the noise, showing how AI can handle the grunt work: tracking down citations, cleaning up code, double-checking facts, and prepping for the defence. It's a practical toolkit for reclaiming your time, not a magic bullet. The focus on verification over blind trust is smart.
Navigate citation rules with confidence, not guesswork.
Formatting rules exist for a reason, but they shouldn't feel like a trap. If ICLR asks for Author Year, numbered citations might raise an editor's eyebrow, yet a desk rejection feels harsh unless the guidelines explicitly forbid it. Some reviewers care more about clarity than style. You could risk it, but why gamble? A quick tweak to the required format takes minutes.
Choose the Right Architecture for Your Multi-Tenant Data Platform
Choosing between fine-tuning and a shared RAG layer isn't about sophistication; it's about where truth lives. Your instinct on Option 1 is sound. Fine-tuning is costly and slow to update, while a curated global knowledge base gives you control over accuracy and citations. For Sri Lankan context, pair a global RAG with your user-specific stores. This scales cleanly and keeps sensitive data isolated. For deeper architectural trade-offs, our piece on "Exploring Paragraph Structure" offers useful context on how LLMs navigate token spaces.