proof blockPage 468%
This equation captures one of the core mathematical components of the system. ples average ≈133/134 LOC with ≈4.3 files and ≈4.3 folders, whereas
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Leveraging LLMs for Multi-File DSL Code Generation: An Industrial Case Study explores An industrial pipeline adapting LLMs for multi-file domain-specific language code generation at repository scale.. Commercial viability score: 7/10 in LLM Code Generation.
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Page Freshness
Canonical route: /paper/leveraging-llms-for-multi-file-dsl-code-generation-an-industrial-case-study
Page-specific freshness sourced from this paper's evidence receipt and score bundle.
Agent Handoff
Canonical ID leveraging-llms-for-multi-file-dsl-code-generation-an-industrial-case-study | Route /paper/leveraging-llms-for-multi-file-dsl-code-generation-an-industrial-case-study
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/paper/leveraging-llms-for-multi-file-dsl-code-generation-an-industrial-case-studyMCP example
{
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"arguments": {
"arxiv_id": "2604.24678"
}
}source_context
{
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"mode": "paper",
"query": "Leveraging LLMs for Multi-File DSL Code Generation: An Industrial Case Study",
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"paper_ref": "leveraging-llms-for-multi-file-dsl-code-generation-an-industrial-case-study",
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}Paper proof page receipt window
/buildability/leveraging-llms-for-multi-file-dsl-code-generation-an-industrial-case-study
Subject: Leveraging LLMs for Multi-File DSL Code Generation: An Industrial Case Study
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.
Constellation, claims, and market context stay visible on the paper proof page even when commercialization rails are held back for incomplete proof receipts.
Preparing verified analysis
Dimensions overall score 7.0
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References are not available from the internal index yet.
Receipt path
/buildability/leveraging-llms-for-multi-file-dsl-code-generation-an-industrial-case-study
Paper ref
leveraging-llms-for-multi-file-dsl-code-generation-an-industrial-case-study
arXiv id
2604.24678
Generated at
2026-04-28T15:17:18.302Z
Evidence freshness
fresh
Last verification
2026-04-28T15:17:18.302Z
Sources
3
References
0
Coverage
50%
Lineage hash
433877388b4eef6a9f95c34f3b4176e5c113b7a13a527a59b9be91a2a7a3c54a
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
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This equation captures one of the core mathematical components of the system. ples average ≈133/134 LOC with ≈4.3 files and ≈4.3 folders, whereas
Page and bbox are available; crop image is pending.
This equation captures one of the core mathematical components of the system. 𝑖 𝑒𝑖 , 𝑆raw = 1 −𝐸 , 𝑆line = 𝑆𝛼 raw 𝐸= ∑︁ To compute the overall average change sim
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This equation captures one of the core mathematical components of the system. F1 = structural_fidelity = 2 Precision Recall Precision + Recall Human eva
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