proof blockPage 468%
This equation captures one of the core mathematical components of the system. Z1:Nj = A(j) θ Z1:Nj−1; x, pj . The full trajectory is Z1:NK = (A(K) θ ◦· · · ◦A(1) θ )(Z1:0).
Learning to Communicate: Toward End-to-End Optimization of Multi-Agent Language Systems explores A parameter-efficient training framework for multi-agent systems that jointly optimizes latent communication with reasoning, improving performance on complex tasks.. Commercial viability score: 8/10 in Multi-Agent Systems.
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Canonical route: /paper/learning-to-communicate-toward-end-to-end-optimization-of-multi-agent-language-systems
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Canonical ID learning-to-communicate-toward-end-to-end-optimization-of-multi-agent-language-systems | Route /paper/learning-to-communicate-toward-end-to-end-optimization-of-multi-agent-language-systems
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curl https://sciencetostartup.com/api/v1/agent-handoff/paper/learning-to-communicate-toward-end-to-end-optimization-of-multi-agent-language-systemsMCP example
{
"tool": "get_paper",
"arguments": {
"arxiv_id": "2604.21794"
}
}source_context
{
"surface": "paper",
"mode": "paper",
"query": "Learning to Communicate: Toward End-to-End Optimization of Multi-Agent Language Systems",
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"route": "/paper/learning-to-communicate-toward-end-to-end-optimization-of-multi-agent-language-systems",
"paper_ref": "learning-to-communicate-toward-end-to-end-optimization-of-multi-agent-language-systems",
"topic_slug": null,
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"dataset_ref": null
}Paper proof page receipt window
/buildability/learning-to-communicate-toward-end-to-end-optimization-of-multi-agent-language-systems
Subject: Learning to Communicate: Toward End-to-End Optimization of Multi-Agent Language Systems
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This equation captures one of the core mathematical components of the system. Z1:Nj = A(j) θ Z1:Nj−1; x, pj . The full trajectory is Z1:NK = (A(K) θ ◦· · · ◦A(1) θ )(Z1:0).
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Receipt path
/buildability/learning-to-communicate-toward-end-to-end-optimization-of-multi-agent-language-systems
Paper ref
learning-to-communicate-toward-end-to-end-optimization-of-multi-agent-language-systems
arXiv id
2604.21794
Generated at
2026-04-24T20:25:28.148Z
Evidence freshness
stale
Last verification
2026-04-24T20:25:28.148Z
Sources
3
References
0
Coverage
50%
Lineage hash
75d15ebec63616ab6a71562ec14c08a6c41f7278e7987955c4e70bb4506cfcd4
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unsigned_external
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not_verified
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Pending verification refs / 3 sources / Verification pending
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references
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This equation captures one of the core mathematical components of the system. stage-j trace space is Tj = Z Nj, and T0 ≜{Z1:0}. We write the accumulated latent trace as
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This equation captures one of the core mathematical components of the system. differentiable stage operator, where x ∈X is the input and pj is the stage-specific prompt
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