Proof pending. This topic has not reached the minimum paper threshold yet.
Monte Carlo Tree Search (MCTS) has been widely used for automated reasoning data exploration, but current supervision extraction methods remain inefficient. Standard approaches retain only the single ...
Games offer a compelling paradigm for developing general reasoning capabilities in language models, as they naturally demand strategic planning, probabilistic inference, and adaptive decision-making. ...
Research in AI using Large-Language Models (LLMs) is rapidly evolving, and the comparison of their performance with human reasoning has become a key concern. Prior studies have indicated that LLMs and...
In nonmonotonic reasoning from conditional belief bases, an inference operator satisfying syntax splitting postulates allows for taking only the relevant parts of a belief base into account, provided ...
Freshness
Canonical route: /topics
Agent Handoff
Canonical ID reasoning | Route /topic/reasoning
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/topic/reasoningMCP example
{
"tool": "search_papers",
"arguments": {
"query": "Reasoning",
"cluster": "Reasoning"
}
}source_context
{
"surface": "topic",
"mode": "topic",
"query": "Reasoning",
"normalized_query": "reasoning",
"route": "/topic/reasoning",
"paper_ref": null,
"topic_slug": "reasoning",
"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.