Evidence Receipt. Related Resources.
Evidence Receipt. Related Resources.
Compared to this week’s papers
Verification pending
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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/transition-based-digital-twin-modelling-for-alzheimer-s-disease-under-sparse-longitudinal-data
Page-specific freshness sourced from this paper's evidence receipt and score bundle.
Agent Handoff
Canonical ID transition-based-digital-twin-modelling-for-alzheimer-s-disease-under-sparse-longitudinal-data | Route /signal-canvas/transition-based-digital-twin-modelling-for-alzheimer-s-disease-under-sparse-longitudinal-data
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/transition-based-digital-twin-modelling-for-alzheimer-s-disease-under-sparse-longitudinal-dataMCP example
{
"tool": "search_signal_canvas",
"arguments": {
"mode": "paper",
"paper_ref": "transition-based-digital-twin-modelling-for-alzheimer-s-disease-under-sparse-longitudinal-data",
"query_text": "Summarize Transition-Based Digital Twin Modelling for Alzheimer's Disease under Sparse Longitudinal Data"
}
}source_context
{
"surface": "signal_canvas",
"mode": "paper",
"query": "Transition-Based Digital Twin Modelling for Alzheimer's Disease under Sparse Longitudinal Data",
"normalized_query": "2606.09671",
"route": "/signal-canvas/transition-based-digital-twin-modelling-for-alzheimer-s-disease-under-sparse-longitudinal-data",
"paper_ref": "transition-based-digital-twin-modelling-for-alzheimer-s-disease-under-sparse-longitudinal-data",
"topic_slug": null,
"benchmark_ref": null,
"dataset_ref": null
}Claims: 1
References: Pending verification
Proof: Verification pending
Freshness state: computing
Source paper: Transition-Based Digital Twin Modelling for Alzheimer's Disease under Sparse Longitudinal Data
PDF: https://arxiv.org/pdf/2606.09671v1
Source count: 3
Coverage: 50%
Last proof check: 2026-06-09T03:24:08.148Z
Signal Canvas receipt window
/buildability/transition-based-digital-twin-modelling-for-alzheimer-s-disease-under-sparse-longitudinal-data
Subject: Transition-Based Digital Twin Modelling for Alzheimer's Disease under Sparse Longitudinal Data
Verdict
Ignore
Verdict is Ignore because current viability and proof state do not clear the buildability gate.
Preparing verified analysis
Dimensions overall score 0.0
No public code linked for this paper yet.
{"file name": "input.pdf", "number of pages": 13, "author": "Yinyu Huang; Yilin Zhang; Sofia Michopoulou; Christopher Kipps; Rahman Attar"
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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Yinyu Huang
University of Southampton
Yilin Zhang
University of Southampton
Sofia Michopoulou
University of Southampton
Christopher Kipps
University Hospital Southampton NHS Foundation Trust
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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/transition-based-digital-twin-modelling-for-alzheimer-s-disease-under-sparse-longitudinal-data
Paper ref
transition-based-digital-twin-modelling-for-alzheimer-s-disease-under-sparse-longitudinal-data
arXiv id
2606.09671
Generated at
2026-06-09T03:24:08.148Z
Evidence freshness
fresh
Last verification
2026-06-09T03:24:08.148Z
Sources
3
References
0
Coverage
50%
Lineage hash
5be92fe2953a3724767f92f104a54d4e2eeb3c9537825b256ad234df2a9fc81e
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