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/nutrimllm-multimodal-large-language-models-for-dietary-micronutrient-analysis
Page-specific freshness sourced from this paper's evidence receipt and score bundle.
Agent Handoff
Canonical ID nutrimllm-multimodal-large-language-models-for-dietary-micronutrient-analysis | Route /signal-canvas/nutrimllm-multimodal-large-language-models-for-dietary-micronutrient-analysis
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/nutrimllm-multimodal-large-language-models-for-dietary-micronutrient-analysisMCP example
{
"tool": "search_signal_canvas",
"arguments": {
"mode": "paper",
"paper_ref": "nutrimllm-multimodal-large-language-models-for-dietary-micronutrient-analysis",
"query_text": "Summarize NutriMLLM: Multimodal Large Language Models for Dietary Micronutrient Analysis"
}
}source_context
{
"surface": "signal_canvas",
"mode": "paper",
"query": "NutriMLLM: Multimodal Large Language Models for Dietary Micronutrient Analysis",
"normalized_query": "2606.08948",
"route": "/signal-canvas/nutrimllm-multimodal-large-language-models-for-dietary-micronutrient-analysis",
"paper_ref": "nutrimllm-multimodal-large-language-models-for-dietary-micronutrient-analysis",
"topic_slug": null,
"benchmark_ref": null,
"dataset_ref": null
}Claims: 1
References: Pending verification
Proof: Verification pending
Freshness state: computing
Source paper: NutriMLLM: Multimodal Large Language Models for Dietary Micronutrient Analysis
PDF: https://arxiv.org/pdf/2606.08948v1
Source count: 3
Coverage: 50%
Last proof check: 2026-06-09T03:27:02.170Z
Signal Canvas receipt window
/buildability/nutrimllm-multimodal-large-language-models-for-dietary-micronutrient-analysis
Subject: NutriMLLM: Multimodal Large Language Models for Dietary Micronutrient Analysis
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": 35, "author": "Runze Yan; Minxiao Wang; Jiaying Lu; Darren Liu; Xiao Hu; Hanqi Luo"
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/nutrimllm-multimodal-large-language-models-for-dietary-micronutrient-analysis
Paper ref
nutrimllm-multimodal-large-language-models-for-dietary-micronutrient-analysis
arXiv id
2606.08948
Generated at
2026-06-09T03:27:02.170Z
Evidence freshness
fresh
Last verification
2026-06-09T03:27:02.170Z
Sources
3
References
0
Coverage
50%
Lineage hash
5bed99e97c9d3f2c983dd81a6012ad3974cb5699c394ac6278dd90ba4bd708c4
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