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/class-specific-diffusion-models-improve-military-object-detection-in-a-low-data-domain
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 class-specific-diffusion-models-improve-military-object-detection-in-a-low-data-domain | Route /signal-canvas/class-specific-diffusion-models-improve-military-object-detection-in-a-low-data-domain
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/class-specific-diffusion-models-improve-military-object-detection-in-a-low-data-domainMCP example
{
"tool": "search_signal_canvas",
"arguments": {
"mode": "paper",
"paper_ref": "class-specific-diffusion-models-improve-military-object-detection-in-a-low-data-domain",
"query_text": "Summarize Class-specific diffusion models improve military object detection in a low-data domain"
}
}source_context
{
"surface": "signal_canvas",
"mode": "paper",
"query": "Class-specific diffusion models improve military object detection in a low-data domain",
"normalized_query": "2604.18076",
"route": "/signal-canvas/class-specific-diffusion-models-improve-military-object-detection-in-a-low-data-domain",
"paper_ref": "class-specific-diffusion-models-improve-military-object-detection-in-a-low-data-domain",
"topic_slug": null,
"benchmark_ref": null,
"dataset_ref": null
}Claims: 1
References: 38
Proof: Verification pending
Freshness state: computing
Source paper: Class-specific diffusion models improve military object detection in a low-data domain
PDF: https://arxiv.org/pdf/2604.18076v1
Source count: 3
Coverage: 67%
Last proof check: 2026-04-21T04:16:47.653Z
Signal Canvas receipt window
/buildability/class-specific-diffusion-models-improve-military-object-detection-in-a-low-data-domain
Subject: Class-specific diffusion models improve military object detection in a low-data domain
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 7.0
No public code linked for this paper yet.
{"file name": "input.pdf", "number of pages": 15, "author": "Ella P. Fokkinga; Jan Erik van Woerden; Thijs A. Eker; Sebastiaan P. Snel; Elfi I. S. Hofmeijer; Klamer Schutte; Friso G. Heslinga"
Implication not extracted yet.
partial
Related resources will appear here when this paper maps cleanly to topic, benchmark, or dataset surfaces.
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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/class-specific-diffusion-models-improve-military-object-detection-in-a-low-data-domain
Paper ref
class-specific-diffusion-models-improve-military-object-detection-in-a-low-data-domain
arXiv id
2604.18076
Generated at
2026-04-21T04:16:47.653Z
Evidence freshness
stale
Last verification
2026-04-21T04:16:47.653Z
Sources
3
References
38
Coverage
67%
Lineage hash
b6aacc872135632dcda39554cd8092d52fafe9c9d1d33752552d7ef15fbde00d
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.
38 refs / 3 sources / Verification pending
repo_url
proof_status