Querying Structured Data Through Natural Language Using Language Models explores A fine-tuned LLM that generates executable queries for structured data, overcoming RAG limitations for numerical and complex datasets.. Commercial viability score: 7/10 in LLM Query Generation.
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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/querying-structured-data-through-natural-language-using-language-models
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 querying-structured-data-through-natural-language-using-language-models | Route /paper/querying-structured-data-through-natural-language-using-language-models
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/paper/querying-structured-data-through-natural-language-using-language-modelsMCP example
{
"tool": "get_paper",
"arguments": {
"arxiv_id": "2604.03057"
}
}source_context
{
"surface": "paper",
"mode": "paper",
"query": "Querying Structured Data Through Natural Language Using Language Models",
"normalized_query": "2604.03057",
"route": "/paper/querying-structured-data-through-natural-language-using-language-models",
"paper_ref": "querying-structured-data-through-natural-language-using-language-models",
"topic_slug": null,
"benchmark_ref": null,
"dataset_ref": null
}Paper proof page receipt window
/buildability/querying-structured-data-through-natural-language-using-language-models
Subject: Querying Structured Data Through Natural Language Using Language Models
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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Research neighborhood
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Preparing verified analysis
Dimensions overall score 7.0
No public claim map is available for this paper yet.
No public competitor map is available for this paper yet.
Owned Distribution
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References are not available from the internal index yet.
Receipt path
/buildability/querying-structured-data-through-natural-language-using-language-models
Paper ref
querying-structured-data-through-natural-language-using-language-models
arXiv id
2604.03057
Generated at
2026-04-06T20:12:49.631Z
Evidence freshness
fresh
Last verification
2026-04-06T20:12:49.631Z
Sources
0
References
0
Coverage
0%
Lineage hash
0dd0ef08f4297faab2b8986916089e6c21e22b9c9ecdd53ce9ba2753ebbfbdf0
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
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paper_evidence_receipts.coverage