proof blockPage 482%
This equation captures one of the core mathematical components of the system. Vft(ft+1) =Qs(I) + Qft+1(I) + · · · + QfN (I)
Page and bbox are available; crop image is pending.
BEAM: Bi-level Memory-adaptive Algorithmic Evolution for LLM-Powered Heuristic Design explores BEAM is a bi-level evolutionary algorithm that designs high-level algorithmic structures for LLM-powered heuristic design, significantly outperforming existing methods in complex optimization problems.. Commercial viability score: 7/10 in LLM Optimization.
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Page Freshness
Canonical route: /paper/beam-bi-level-memory-adaptive-algorithmic-evolution-for-llm-powered-heuristic-design
This page is showing the last landed evidence receipt and score bundle because the latest proof data is outside the freshness window.
Agent Handoff
Canonical ID beam-bi-level-memory-adaptive-algorithmic-evolution-for-llm-powered-heuristic-design | Route /paper/beam-bi-level-memory-adaptive-algorithmic-evolution-for-llm-powered-heuristic-design
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/paper/beam-bi-level-memory-adaptive-algorithmic-evolution-for-llm-powered-heuristic-designMCP example
{
"tool": "get_paper",
"arguments": {
"arxiv_id": "2604.12898"
}
}source_context
{
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"query": "BEAM: Bi-level Memory-adaptive Algorithmic Evolution for LLM-Powered Heuristic Design",
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}Paper proof page receipt window
/buildability/beam-bi-level-memory-adaptive-algorithmic-evolution-for-llm-powered-heuristic-design
Subject: BEAM: Bi-level Memory-adaptive Algorithmic Evolution for LLM-Powered Heuristic Design
Verdict
Watch
Verdict is Watch because viability or proof quality is intermediate and should be re-evaluated before execution.
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.
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Dimensions overall score 7.0
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Visual citation anchors from the paper document graph.
This equation captures one of the core mathematical components of the system. Vft(ft+1) =Qs(I) + Qft+1(I) + · · · + QfN (I)
Page and bbox are available; crop image is pending.
Owned Distribution
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References are not available from the internal index yet.
Receipt path
/buildability/beam-bi-level-memory-adaptive-algorithmic-evolution-for-llm-powered-heuristic-design
Paper ref
beam-bi-level-memory-adaptive-algorithmic-evolution-for-llm-powered-heuristic-design
arXiv id
2604.12898
Generated at
2026-04-15T16:58:41.866Z
Evidence freshness
stale
Last verification
2026-04-15T16:58:41.866Z
Sources
3
References
0
Coverage
50%
Lineage hash
de6e92775441e166edb14cefb9c60cfbf4fea39208bce3b29731bbbefb042de2
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 / 3 sources / Verification pending
repo_url
references
This equation captures one of the core mathematical components of the system. For each candidate function f ∈C, we compute a composite
Page and bbox are available; crop image is pending.
This equation captures one of the core mathematical components of the system. with novelty measured by Fnov = 1 −maxg∈AM sim(f, g). If
Page and bbox are available; crop image is pending.
No public competitor map is available for this paper yet.