Recursive Multi-Agent Systems explores A recursive multi-agent framework that enhances reasoning and efficiency in complex tasks through iterative collaboration and latent state transfer.. Commercial viability score: 8/10 in Multi-Agent Systems.
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Canonical route: /paper/recursive-multi-agent-systems
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Canonical ID recursive-multi-agent-systems | Route /paper/recursive-multi-agent-systems
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/buildability/recursive-multi-agent-systems
Subject: Recursive Multi-Agent Systems
Verdict
Watch
Verdict is Watch because viability or proof quality is intermediate and should be re-evaluated before execution.
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Insufficient data
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Receipt path
/buildability/recursive-multi-agent-systems
Paper ref
recursive-multi-agent-systems
arXiv id
2604.25917
Generated at
2026-04-29T03:16:23.119Z
Evidence freshness
fresh
Last verification
2026-04-29T03:16:23.119Z
Sources
3
References
0
Coverage
50%
Lineage hash
46b29bce6762ea639acb15290f3b5e1e2075968f2819618b51b4880e908e8c98
Canonical opportunity-kernel lineage hash.
External signature
unsigned_external
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Verification
not_verified
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Pending verification refs / 3 sources / Verification pending
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references
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Dimensions overall score 8.0
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This equation captures one of the core mathematical components of the system. 𝐸= [𝑒1, . . . , 𝑒𝑡] ∈ℝ𝑡×𝑑ℎ, the model computes the last-layer hidden state ℎ𝑡through the forward pass.
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This equation captures one of the core mathematical components of the system. 𝐴𝑖∈A with parameters 𝜃𝑖and the training example (𝑥, 𝑦) ∈Dtrain, we construct the target latent
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