Evidence Receipt. Related Resources.
Evidence Receipt. Related Resources.
Compared to this week’s papers
Verification pending
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Page Freshness
Canonical route: /signal-canvas/active-testing-of-large-language-models-via-approximate-neyman-allocation
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 active-testing-of-large-language-models-via-approximate-neyman-allocation | Route /signal-canvas/active-testing-of-large-language-models-via-approximate-neyman-allocation
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/active-testing-of-large-language-models-via-approximate-neyman-allocationMCP example
{
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"query_text": "Summarize Active Testing of Large Language Models via Approximate Neyman Allocation"
}
}source_context
{
"surface": "signal_canvas",
"mode": "paper",
"query": "Active Testing of Large Language Models via Approximate Neyman Allocation",
"normalized_query": "2605.10075",
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"paper_ref": "active-testing-of-large-language-models-via-approximate-neyman-allocation",
"topic_slug": null,
"benchmark_ref": null,
"dataset_ref": null
}Claims: 0
References: Pending verification
Proof: Verification pending
Freshness state: computing
Source paper: Active Testing of Large Language Models via Approximate Neyman Allocation
PDF: https://arxiv.org/pdf/2605.10075v1
Source count: 3
Coverage: 50%
Last proof check: 2026-06-06T20:07:57.735Z
Signal Canvas receipt window
/buildability/active-testing-of-large-language-models-via-approximate-neyman-allocation
Subject: Active Testing of Large Language Models via Approximate Neyman Allocation
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 5.0
No public code linked for this paper yet.
CLAIM MAP
No public claim map is available for this paper yet.
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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/active-testing-of-large-language-models-via-approximate-neyman-allocation
Paper ref
active-testing-of-large-language-models-via-approximate-neyman-allocation
arXiv id
2605.10075
Generated at
2026-06-06T20:07:57.735Z
Evidence freshness
fresh
Last verification
2026-06-06T20:07:57.735Z
Sources
3
References
0
Coverage
50%
Lineage hash
b7959cb69793d63aa8e1c4d5be31e557e6a512039f244447a127efe03b8240f1
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