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/step-adaptive-multimodal-fusion-network-with-multi-scale-cloud-feature-learning-for-ultra-short-term-solar-irradiance-fo
Page-specific freshness sourced from this paper's evidence receipt and score bundle.
Agent Handoff
Canonical ID step-adaptive-multimodal-fusion-network-with-multi-scale-cloud-feature-learning-for-ultra-short-term-solar-irradiance-fo | Route /signal-canvas/step-adaptive-multimodal-fusion-network-with-multi-scale-cloud-feature-learning-for-ultra-short-term-solar-irradiance-fo
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/step-adaptive-multimodal-fusion-network-with-multi-scale-cloud-feature-learning-for-ultra-short-term-solar-irradiance-foMCP example
{
"tool": "search_signal_canvas",
"arguments": {
"mode": "paper",
"paper_ref": "step-adaptive-multimodal-fusion-network-with-multi-scale-cloud-feature-learning-for-ultra-short-term-solar-irradiance-fo",
"query_text": "Summarize Step-adaptive multimodal fusion network with multi-scale cloud feature learning for ultra-short-term solar irradiance forecasting"
}
}source_context
{
"surface": "signal_canvas",
"mode": "paper",
"query": "Step-adaptive multimodal fusion network with multi-scale cloud feature learning for ultra-short-term solar irradiance forecasting",
"normalized_query": "2606.06102",
"route": "/signal-canvas/step-adaptive-multimodal-fusion-network-with-multi-scale-cloud-feature-learning-for-ultra-short-term-solar-irradiance-fo",
"paper_ref": "step-adaptive-multimodal-fusion-network-with-multi-scale-cloud-feature-learning-for-ultra-short-term-solar-irradiance-fo",
"topic_slug": null,
"benchmark_ref": null,
"dataset_ref": null
}Claims: 1
References: Pending verification
Proof: Verification pending
Freshness state: computing
PDF: https://arxiv.org/pdf/2606.06102v1
Source count: 3
Coverage: 50%
Last proof check: 2026-06-06T03:19:24.261Z
Signal Canvas receipt window
/buildability/step-adaptive-multimodal-fusion-network-with-multi-scale-cloud-feature-learning-for-ultra-short-term-solar-irradiance-fo
Subject: Step-adaptive multimodal fusion network with multi-scale cloud feature learning for ultra-short-term solar irradiance forecasting
Verdict
Preparing verified analysis
Dimensions overall score 0.0
No public code linked for this paper yet.
{"file name": "input.pdf", "number of pages": 12, "author": "Jingxin Zhang Xiaoqin Wang"
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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Ignore
Verdict is Ignore because current viability and proof state do not clear the buildability gate.
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/step-adaptive-multimodal-fusion-network-with-multi-scale-cloud-feature-learning-for-ultra-short-term-solar-irradiance-fo
Paper ref
step-adaptive-multimodal-fusion-network-with-multi-scale-cloud-feature-learning-for-ultra-short-term-solar-irradiance-fo
arXiv id
2606.06102
Generated at
2026-06-06T03:19:24.261Z
Evidence freshness
fresh
Last verification
2026-06-06T03:19:24.261Z
Sources
3
References
0
Coverage
50%
Lineage hash
71a20dd14fb5ad1400e15e9fd89c632287719b7329cd4653253d5a8d4e34e72c
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