Proof pending. Core topic summary fields are still materializing.
Topic-specific paper and score movement from the daily diff ledger.
Few-Shot Industrial Visual Anomaly Detection (FS-IVAD) comprises a critical task in modern manufacturing settings, where automated product inspection systems need to identify rare defects using only a...
Purifying sour water is essential for reducing emissions, minimizing corrosion risks, enabling the reuse of treated water in industrial or domestic applications, and ultimately lowering operational co...
A growing number of publications address the best practices to use Large Language Models (LLMs) for software engineering in recent years. However, most of this work focuses on widely-used general purp...
Foundation models, particularly large language models, are increasingly integrated into agent architectures for industrial tasks such as decision support, process monitoring, and engineering automatio...
Industrial troubleshooting guides encode diagnostic procedures in flowchart-like diagrams where spatial layout and technical language jointly convey meaning. To integrate this knowledge into operator ...
Freshness
Canonical route: /topics
Agent Handoff
Canonical ID industrial-automation | Route /topic/industrial-automation
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/topic/industrial-automationMCP example
{
"tool": "search_papers",
"arguments": {
"query": "Industrial Automation",
"cluster": "Industrial Automation"
}
}source_context
{
"surface": "topic",
"mode": "topic",
"query": "Industrial Automation",
"normalized_query": "industrial-automation",
"route": "/topic/industrial-automation",
"paper_ref": null,
"topic_slug": "industrial-automation",
"benchmark_ref": null,
"dataset_ref": null
}Use This Via API or MCP
Topic pages bundle paper counts, viability trends, author concentration, and top questions into one canonical surface your agents can reference before they open Signal Canvas or create a workspace.