Evidence Receipt. Related Resources.
Evidence Receipt. Related Resources.
Compared to this week’s papers
Verification pending
Use This Via API or MCP
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Route this paper proof surface into REST, MCP, or developer workflows while preserving the same evidence receipt and related-resource context.
Page Freshness
Canonical route: /signal-canvas/enhancing-deep-neural-network-reliability-with-refinement-and-calibration
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 enhancing-deep-neural-network-reliability-with-refinement-and-calibration | Route /signal-canvas/enhancing-deep-neural-network-reliability-with-refinement-and-calibration
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/enhancing-deep-neural-network-reliability-with-refinement-and-calibrationMCP example
{
"tool": "search_signal_canvas",
"arguments": {
"mode": "paper",
"paper_ref": "enhancing-deep-neural-network-reliability-with-refinement-and-calibration",
"query_text": "Summarize Enhancing Deep Neural Network Reliability with Refinement and Calibration"
}
}source_context
{
"surface": "signal_canvas",
"mode": "paper",
"query": "Enhancing Deep Neural Network Reliability with Refinement and Calibration",
"normalized_query": "2605.23249",
"route": "/signal-canvas/enhancing-deep-neural-network-reliability-with-refinement-and-calibration",
"paper_ref": "enhancing-deep-neural-network-reliability-with-refinement-and-calibration",
"topic_slug": null,
"benchmark_ref": null,
"dataset_ref": null
}Claims: 0
References: Pending verification
Proof: Verification pending
Freshness state: computing
Source paper: Enhancing Deep Neural Network Reliability with Refinement and Calibration
PDF: https://arxiv.org/pdf/2605.23249v1
Source count: 3
Coverage: 50%
Last proof check: 2026-05-25T20:37:54.728Z
Signal Canvas receipt window
/buildability/enhancing-deep-neural-network-reliability-with-refinement-and-calibration
Subject: Enhancing Deep Neural Network Reliability with Refinement and Calibration
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/enhancing-deep-neural-network-reliability-with-refinement-and-calibration
Paper ref
enhancing-deep-neural-network-reliability-with-refinement-and-calibration
arXiv id
2605.23249
Generated at
2026-05-25T20:37:54.728Z
Evidence freshness
stale
Last verification
2026-05-25T20:37:54.728Z
Sources
3
References
0
Coverage
50%
Lineage hash
d0c1c0c2abd02369f9a52e2e757cef9066ddc032e4ba5337d3b071e67cd0b676
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