Proof pending. This topic has not reached the minimum paper threshold yet.
Hybrid Transformer architectures, which combine softmax attention blocks and recurrent neural networks (RNNs), have shown a desirable performance-throughput tradeoff for long-context modeling, but the...
This paper concerns the question of how AI systems encode semantic structure into the geometric structure of their representation spaces. The motivating observation of this paper is that the natural g...
The self-attention mechanism, at the heart of the Transformer model, is able to effectively model pairwise interactions between tokens. However, numerous recent works have shown that it is unable to p...
Freshness
Canonical route: /topics
Agent Handoff
Canonical ID ai-models | Route /topic/ai-models
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/topic/ai-modelsMCP example
{
"tool": "search_papers",
"arguments": {
"query": "AI Models",
"cluster": "AI Models"
}
}source_context
{
"surface": "topic",
"mode": "topic",
"query": "AI Models",
"normalized_query": "ai-models",
"route": "/topic/ai-models",
"paper_ref": null,
"topic_slug": "ai-models",
"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.