From Soliloquy to Agora: Memory-Enhanced LLM Agents with Decentralized Debate for Optimization Modeling explores Optimize operations research problems with AI via decentralized debate and memory-enhanced agents.. Commercial viability score: 3/10 in Optimization Modeling.
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This route is the stable paper-level surface for citations, viability, references, and downstream handoffs. Use it as the proof layer behind Signal Canvas, workspace creation, and launch-pack generation.
Page Freshness
Canonical route: /paper/from-soliloquy-to-agora-memory-enhanced-llm-agents-with-decentralized-debate-for-optimization-modeling
Page-specific freshness sourced from this paper's evidence receipt and score bundle.
Agent Handoff
Canonical ID from-soliloquy-to-agora-memory-enhanced-llm-agents-with-decentralized-debate-for-optimization-modeling | Route /paper/from-soliloquy-to-agora-memory-enhanced-llm-agents-with-decentralized-debate-for-optimization-modeling
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/paper/from-soliloquy-to-agora-memory-enhanced-llm-agents-with-decentralized-debate-for-optimization-modelingMCP example
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/buildability/from-soliloquy-to-agora-memory-enhanced-llm-agents-with-decentralized-debate-for-optimization-modeling
Subject: From Soliloquy to Agora: Memory-Enhanced LLM Agents with Decentralized Debate for Optimization Modeling
Verdict
Ignore
Verdict is Ignore because current viability and proof state do not clear the buildability gate.
Time to first demo
Insufficient data
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Structured compute envelope
Insufficient data
No data, compute, hardware, memory, latency, dependency, or serving requirement receipt is attached.
Receipt path
/buildability/from-soliloquy-to-agora-memory-enhanced-llm-agents-with-decentralized-debate-for-optimization-modeling
Paper ref
from-soliloquy-to-agora-memory-enhanced-llm-agents-with-decentralized-debate-for-optimization-modeling
arXiv id
2604.25847
Generated at
2026-04-29T03:16:05.594Z
Evidence freshness
fresh
Last verification
2026-04-29T03:16:05.594Z
Sources
4
References
0
Coverage
67%
Lineage hash
4d9577e31e361d5dae48f6d3aed9400ba0b41e280a009081c0c15481ae67bfd6
Canonical opportunity-kernel lineage hash.
External signature
unsigned_external
No founder, registry, pilot, or production-adoption signature is attached to this receipt.
Verification
not_verified
Verification is blocked until an external signature is provided.
Pending verification refs / 4 sources / Verification pending
references
proof_status
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Research neighborhood
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Preparing verified analysis
Dimensions overall score 3.0
Visual citation anchors from the paper document graph.
This equation captures one of the core mathematical components of the system. For a given problem x, the agent team generates a candidate solution s ∈S as a tuple s = (f, c, v, L)
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This equation captures one of the core mathematical components of the system. (v, L) ←E(c). If the solver terminates successfully (v ̸= ⊥), the agent team accepts the run and extracts a candidate so
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This equation captures one of the core mathematical components of the system. solution s = (f, c, v, L). However, if execution fails (v = ⊥), then the agent team enters a debugging
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