SPIN Unprocessed July 8, 2026 ai_technology research
Prompt-to-Paper: Agentic AI System for Bioinformatics
View original on arxiv.orgOverview
arXiv:2607.05456v1 Announce Type: new Abstract: While recent advances in large language models have enabled end-to-end automated manuscript generation, existing systems suffer from three critical deficiencies: (i) generated claims are not deterministically grounded in verifiable literature, (ii) experimental results are frequently fabricated rather than executed, and (iii) there exists no standardized, multi-dimensional framework to assess whether AI-generated manuscripts meet the quality and ri
SpinGraph analysis pending — check back after processing.
Ask AI about this story
Opens with the SpinGraph .md URL and structured context — one click, prompt included.
More from arXiv Artificial Intelligence
View all →- SearchEyes: Towards Frontier Multimodal Deep Search Intelligence via Search World Simulation
- PCBWorld: A Benchmark Environment for Engine-Grounded PCB Design Automation
- Uncovering Latent Depression Severity for Binary Depression Detection via Advantage-weighting Ranking
- StateFuse: Deterministic Conflict-Preserving Memory for Multi-Agent Systems
- Onnes: A Physics-Grounded Multi-Agent LLM Simulator for Cryogenic Fault Diagnosis in Quantum Computing Infrastructure
- TurnOPD: Making On-Policy Distillation Turn-Aware for Efficient Long-Horizon Agent Training
Markdown (.md) · JSON-LD schema (.json) · Machine-readable for AI & GEO