Evidence Receipt. Related Resources.
Evidence Receipt. Related Resources.
Compared to this week’s papers
Verification pending
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Canonical route: /signal-canvas/menvagent-scalable-polyglot-environment-construction-for-verifiable-software-engineering
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Agent Handoff
Canonical ID menvagent-scalable-polyglot-environment-construction-for-verifiable-software-engineering | Route /signal-canvas/menvagent-scalable-polyglot-environment-construction-for-verifiable-software-engineering
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/menvagent-scalable-polyglot-environment-construction-for-verifiable-software-engineeringMCP example
{
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}
}source_context
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}Claims: 8
References: Pending verification
Proof: Verification pending
Freshness state: computing
Source paper: MEnvAgent: Scalable Polyglot Environment Construction for Verifiable Software Engineering
PDF: https://arxiv.org/pdf/2601.22859v1
Source count: Pending verification
Coverage: 33%
Last proof check: 2026-03-17T21:43:58.792Z
Signal Canvas receipt window
/buildability/menvagent-scalable-polyglot-environment-construction-for-verifiable-software-engineering
Subject: MEnvAgent: Scalable Polyglot Environment Construction for Verifiable Software Engineering
Verdict
Watch
Verdict is Watch because viability or proof quality is intermediate and should be re-evaluated before execution.
Preparing verified analysis
Dimensions overall score 8.0
No public code linked for this paper yet.
MEnvAgent outperforms baselines, improving Fail-to-Pass (F2P) rates by 8.6%
Directly stated in abstract with clear numeric evidence
partial
reducing time costs by 43%
Directly stated in abstract with clear numeric evidence
partial
MEnvAgent employs a multi-agent Planning-Execution-Verification architecture to autonomously resolve construction failures
Directly stated in abstract describing the method
partial
integrates a novel Environment Reuse Mechanism that reduces computational overhead by incrementally patching historical environments
Directly stated in abstract describing a technical innovation
partial
MEnvBench, a new benchmark comprising 1,000 tasks across 10 languages
Directly stated in abstract with clear numeric evidence
partial
MEnvData-SWE, the largest open-source polyglot dataset of realistic verifiable Docker environments to date
Directly stated in abstract with a superlative claim
partial
The evolution of Large Language Model (LLM) agents for software engineering (SWE) is constrained by the scarcity of verifiable datasets
Directly stated in abstract as a problem statement
partial
facilitates scalable generation of verifiable task instances
Directly stated in abstract describing the framework's purpose
partial
Related resources will appear here when this paper maps cleanly to topic, benchmark, or dataset surfaces.
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Time to first demo
Insufficient data
No first-demo timestamp, owner estimate, or elapsed demo receipt is attached to this surface.
Structured compute envelope
Insufficient data
No data, compute, hardware, memory, latency, dependency, or serving requirement receipt is attached.
Receipt path
/buildability/menvagent-scalable-polyglot-environment-construction-for-verifiable-software-engineering
Paper ref
menvagent-scalable-polyglot-environment-construction-for-verifiable-software-engineering
arXiv id
2601.22859
Generated at
2026-03-17T21:43:58.792Z
Evidence freshness
stale
Last verification
2026-03-17T21:43:58.792Z
Sources
0
References
0
Coverage
33%
Lineage hash
9fe251af6987dd4aea3b4d2d119d806b3dcdb4bff885cb99e3ea7d2178fe86d2
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.
Verification pending / evidence receipt incomplete
repo_url
references