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ARXIV:2604.21414 · TEXT-TO-SQL · SUBMITTED 24 APR · 20:27 UTC · FRESHNESS STALE
ARXIV:2604.21414TEXT-TO-SQLSUBMITTED 24 APR · 20:27 UTCFRESHNESS STALEQiang Gao · Zhenping Li · Anqi Zhuo · Yingxiao Zhao · Weibo Geng · Xiaosong Li · arXiv
A semantics-aware framework for text-to-SQL data synthesis that uses specialized modules for analysis, synthesis, and verification to ensure semantic validity.
Opportunity summary
Pain A semantics-aware framework for text-to-SQL data synthesis that uses specialized modules for analysis, synthesis, and verification to ensure semantic validity.
Evidence 0 refs | 4 sources | 67% coverage
Blocker Evidence unverified
A semantics-aware framework for text-to-SQL data synthesis that uses specialized modules for analysis, synthesis, and verification to ensure semantic validity. To address these limitations, we propose SemanticAgent, a semantic-aware synthesis framework.
Existing text-to-SQL synthesis pipelines still conflate executability with semantic validity: syntactic checks and execution-based validation can retain queries that execute successfully while violating database semantics. To address these limitations, we propose SemanticAgent, a semantic-aware…
ScienceToStartup currently rates this 7.0/10 on the public viability pass. Our framework generates synthetic data that consistently outperforms prior synthesis methods under semantic-quality evaluation, leading to stronger downstream fine-tuning performance, especially on semantically demanding…
Text-to-SQL moved forward this cycle; last verified April 2026. Public score 7.0/10. Implementation evidence is present through a linked repository.
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mobile layout uses overflow-hidden min-w-0 break-wordsOpportunity summary
Score7.0Public score shown from the verified overall while the stale axis breakdown refreshesAnalysis summary
A semantics-aware framework for text-to-SQL data synthesis that uses specialized modules for analysis, synthesis, and verification to ensure semantic validity.
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Paper Pack
10.48550/arXiv.2604.21414A semantics-aware framework for text-to-SQL data synthesis that uses specialized modules for analysis, synthesis, and verification to ensure semantic validity.
Abstract
Existing text-to-SQL synthesis pipelines still conflate executability with semantic validity: syntactic checks and execution-based validation can retain queries that execute successfully while violating database semantics. To address these limitations, we propose SemanticAgent, a semantic-aware synthesis framework. SemanticAgent organizes synthesis around three specialized modules: an analyzer, a synthesizer, and a verifier. Through a three-stage protocol of semantic analysis, stepwise synthesis, and diagnostic refinement, SemanticAgent transforms execution-based validation alone into a traceable reasoning process. Our framework generates synthetic data that consistently outperforms prior synthesis methods under semantic-quality evaluation, leading to stronger downstream fine-tuning performance, especially on semantically demanding benchmarks.
Source availability
PDF linkedThe paper record includes a public PDF URL.
Extraction status
Parse run linkedA document parse run is attached to this paper.
Proof status
unverified0 refs; 4 sources; 67% coverage.
What was readable
Derived fallback: Estimated from adjacent evidence; not verified from source.
Viability
Time to MVP
Commercial
Export
Preparing verified analysis
Dimensions overall score 7.0
PROBLEM
A semantics-aware framework for text-to-SQL data synthesis that uses specialized modules for analysis, synthesis, and verification to ensure semantic validity. To address these limitations, we propose SemanticAgent, a semantic-aware synthesis framework.
METHOD
Existing text-to-SQL synthesis pipelines still conflate executability with semantic validity: syntactic checks and execution-based validation can retain queries that execute successfully while violating database semantics. To address these limitations, we propose SemanticAgent,...
RESULT
ScienceToStartup currently rates this 7.0/10 on the public viability pass. Our framework generates synthetic data that consistently outperforms prior synthesis methods under semantic-quality evaluation, leading to stronger downstream fine-tuning performance, especially on semant...
WHY NOW
Text-to-SQL moved forward this cycle; last verified April 2026. Public score 7.0/10. Implementation evidence is present through a linked repository.
{"file name": "input.pdf", "number of pages": 18, "author": "Qiang Gao; Zhenping Li; Anqi Zhuo; Yingxiao Zhao; Weibo Geng; Xiaosong Li"
Implication not extracted yet.
partial
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Concepts
Methods
Materials
Markets
Competitors
A semantics-aware framework for text-to-SQL data synthesis that uses specialized modules for analysis, synthesis, and verification to ensure semantic validity.
Segment
Text-to-SQL
Adoption evidence
Public code linked for build inspection
Commercial read
7.0/10 public viability
Direct
Adjacent
Substitute
Unknown
No indexed public discussion is attached to 2604.21414 yet. That is a visibility signal, not a blank module: the monitor is watching the public channels below.
Hacker News
Not indexed yet
Not indexed yet
Bluesky
Not indexed yet
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Reference metadata is not materialized in the public index yet. The source PDF remains the authority; cache refresh is optional.
CITED BY
No citing papers are indexed in the public S2S graph yet. This is an explicit zero-signal state, not a hidden lookup.
Foundation
Extension
Commercially relevant
Owned Distribution
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2/3 checks · 67%
Prototype path
partialhttps://sciencetostartup.com/api/v1/paper/2604.21414v1/build-passport
Source: Build Passport tarball route.
Required assets
verifiedDockerfile.minimal, RUN.sh, EXPECTED_OUTPUT.json, sbom.spdx.json
All required asset routes are present.
Dependencies
partialSBOM route attached; dependency contents require artifact review.
https://jdeeoknqehdvwmyoyayl.supabase.co/storage/v1/object/public/build-passports/2604.21414v1/7dfcc6f9a3c71bc87c82ca9f9f60392ec1538f4ac88b5cfe7e0816dd8b77348b/sbom.spdx.json
Regulatory flags
missingNo regulatory classification attached.
Build Passport payload does not include regulatory flags.
Validation plan
partialRun reproduction smoke and attach transcript.
Proof status FAILED; computed 2026-04-26T17:13:02.441594+00:00.
Blockers
partialResolve missing artifact routes, unverified proof, or cost gaps.
Observed cost $0.00.
Build brief generated from Build Passport metadata.
Computed 2026-04-26T17:13:02.441594+00:00.
Experiment plan needs a verified reproduction path.
Proof status FAILED.
Validation checklist missing until assets, cost, and regulatory flags are verified.
No checklist artifact is attached to the Build Passport payload.
Derived signals show verified:false until source-backed receipts exist.
Evidence coverage
OpportunityKernel evidence_receipt
0 refs / 4 sources / 67% coverage
stale
Verify missing sources before using this as buyer proof. verified:false
Build readiness
BuildPassport EvidenceState
passport present; proof FAILED
stale
Run Proof Lab or inspect typed missing state. verified:false
Artifact maturity
GitHub and Hugging Face maturity payloads
No public artifact surface observed
stale
Open source artifacts or mark the gap as missing. verified:false
Technical feasibility
partial
Current read
Runnable path is not fully verified.
Evidence
Build Passport proof status FAILED.
Gaps
Next test
Run minimal reproduction from the Build Passport prototype path.
Market urgency
missing
Current read
Buyer urgency is not verified from source.
Evidence
0 references, 4 sources, 67% evidence coverage.
Gaps
Next test
Collect buyer interview, deployment evidence, or cited demand signal.
Buyer clarity
missing
Current read
No budget owner is verified for this paper.
Evidence
Build tab has no CRM, procurement, or operator source.
Gaps
Next test
Map target operator, economic buyer, and procurement trigger.
Defensibility
missing
Current read
Defensibility signals are missing.
Evidence
No defensibility receipt attached.
Gaps
Next test
Refresh defensibility bars with source receipts.
Integration burden
missing
Current read
No public implementation surface observed.
Evidence
No GitHub or Hugging Face payload attached.
Gaps
Next test
Write integration checklist from prototype path and target workflow.
Capital intensity
partial
Current read
Observed Proof Lab cost $0.00.
Evidence
Source: Build Passport cost passport.
Gaps
No gap recorded.
Next test
Run cost passport or mark the cost field not applicable.
Regulatory load
missing
Current read
No regulatory classification is attached.
Evidence
Build Passport ledger does not include regulatory flags.
Gaps
Next test
Classify regulatory flags before commercialization planning.
No named scientific founder assigned.
Paper authors are not treated as operators without consent.
People
No named person assigned.
Gaps
Next verification path
Prototype owner missing.
Build Passport does not name an implementer.
People
No named person assigned.
Gaps
Next verification path
Operator workflow not sourced.
No buyer or workflow interview attached.
People
No named person assigned.
Gaps
Next verification path
No GTM owner verified.
No CRM or outreach source attached.
People
No named person assigned.
Gaps
Next verification path
Regulatory need unclassified.
No clinical or regulatory source attached.
People
No named person assigned.
Gaps
Next verification path
ARTIFACTS
No public artifacts yet.
DEFENSIBILITY
Defensibility and confidence evidence pending.
WATCHTOWER
No verified watchtower monitor rows yet.
FORESIGHT
No prediction yet — minted on next Foresight batch.
OPPORTUNITYKERNEL CHANGES SINCE LAST VIEW
No verified OpportunityKernel changes since the last view.
COMPETITIVE LANDSCAPE UPDATES
No verified competitive landscape changes yet.
RELATED PAPER UPDATES
No verified related paper changes yet.
SIGNAL CANVAS HISTORY AND DELTAS
No Signal Canvas history deltas yet.
TIMELINE
Save this paper to start tracking momentum - commits, demos, and score changes appear here.
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Score trend will appear after multiple data points.
BUZZ
Buzz trend pending.