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Trust but Verify: Introducing DAVinCI -- A Framework for Dual Attribution and Verification in Claim Inference for Language Models explores A framework for dual attribution and verification to enhance factual reliability and interpretability of LLM outputs.. Commercial viability score: 7/10 in LLM Reliability.
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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/trust-but-verify-introducing-davinci-a-framework-for-dual-attribution-and-verification-in-claim-inference-for-language-m
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 trust-but-verify-introducing-davinci-a-framework-for-dual-attribution-and-verification-in-claim-inference-for-language-m | Route /paper/trust-but-verify-introducing-davinci-a-framework-for-dual-attribution-and-verification-in-claim-inference-for-language-m
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/paper/trust-but-verify-introducing-davinci-a-framework-for-dual-attribution-and-verification-in-claim-inference-for-language-mMCP example
{
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"arguments": {
"arxiv_id": "2604.21193"
}
}source_context
{
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"mode": "paper",
"query": "Trust but Verify: Introducing DAVinCI -- A Framework for Dual Attribution and Verification in Claim Inference for Language Models",
"normalized_query": "2604.21193",
"route": "/paper/trust-but-verify-introducing-davinci-a-framework-for-dual-attribution-and-verification-in-claim-inference-for-language-m",
"paper_ref": "trust-but-verify-introducing-davinci-a-framework-for-dual-attribution-and-verification-in-claim-inference-for-language-m",
"topic_slug": null,
"benchmark_ref": null,
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}Paper proof page receipt window
/buildability/trust-but-verify-introducing-davinci-a-framework-for-dual-attribution-and-verification-in-claim-inference-for-language-m
Subject: Trust but Verify: Introducing DAVinCI -- A Framework for Dual Attribution and Verification in Claim Inference for Language Models
Verdict
Build Now
Verdict is Build Now because viability and implementation proof cleared the Wave 1 scaffold thresholds.
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/trust-but-verify-introducing-davinci-a-framework-for-dual-attribution-and-verification-in-claim-inference-for-language-m
Paper ref
trust-but-verify-introducing-davinci-a-framework-for-dual-attribution-and-verification-in-claim-inference-for-language-m
arXiv id
2604.21193
Generated at
2026-04-24T20:28:52.271Z
Evidence freshness
stale
Last verification
2026-04-24T20:28:52.271Z
Sources
4
References
0
Coverage
67%
Lineage hash
2996a0de84123bd150de498290cf6531eff00d4e09aa69b31a822fc4ddcd0026
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 / 4 sources / Verification pending
references
proof_status
Constellation, claims, and market context stay visible on the paper proof page even when commercialization rails are held back for incomplete proof receipts.
Research neighborhood
Interactive graph renders after load.
Preparing verified analysis
Dimensions overall score 7.0
Visual citation anchors from the paper document graph.
This equation defines the score or evaluation function that determines model quality.
Page and bbox are available; crop image is pending.
This equation defines the score or evaluation function that determines model quality.
Page and bbox are available; crop image is pending.
This equation captures one of the core mathematical components of the system. microsoft/deberta-large-mnli ( y if s ≥τ Not Enough Info# otherwise y# = FacebookAI/roberta-large-mnli facebook/bart-lar
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