Evidence Receipt. Related Resources.
Evidence Receipt. Related Resources.
Compared to this week’s papers
Verification pending
Use This Via API or MCP
Signal Canvas is the citation-first public layer for turning one paper into a structured commercialization narrative. Use it to hand off into REST, MCP, Build Loop, and launch-pack execution without losing source lineage.
Use This Via API or MCP
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/demystifying-data-organization-for-enhanced-llm-training
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 demystifying-data-organization-for-enhanced-llm-training | Route /signal-canvas/demystifying-data-organization-for-enhanced-llm-training
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/demystifying-data-organization-for-enhanced-llm-trainingMCP example
{
"tool": "search_signal_canvas",
"arguments": {
"mode": "paper",
"paper_ref": "demystifying-data-organization-for-enhanced-llm-training",
"query_text": "Summarize Demystifying Data Organization for Enhanced LLM Training"
}
}source_context
{
"surface": "signal_canvas",
"mode": "paper",
"query": "Demystifying Data Organization for Enhanced LLM Training",
"normalized_query": "2605.30334",
"route": "/signal-canvas/demystifying-data-organization-for-enhanced-llm-training",
"paper_ref": "demystifying-data-organization-for-enhanced-llm-training",
"topic_slug": null,
"benchmark_ref": null,
"dataset_ref": null
}Claims: 1
References: Pending verification
Proof: Verification pending
Freshness state: computing
Source paper: Demystifying Data Organization for Enhanced LLM Training
PDF: https://arxiv.org/pdf/2605.30334v1
Repository: https://github.com/microsoft/data-efficacy
Source count: 4
Coverage: 83%
Last proof check: 2026-05-29T20:34:18.485Z
Signal Canvas receipt window
/buildability/demystifying-data-organization-for-enhanced-llm-training
Subject: Demystifying Data Organization for Enhanced LLM Training
Verdict
Build Now
Verdict is Build Now because viability and implementation proof cleared the Wave 1 scaffold thresholds.
Preparing verified analysis
Dimensions overall score 7.0
{"file name": "input.pdf", "number of pages": 18, "author": "Yalun Dai; Yangyu Huang; Tongshen Yang; Yonghan Wang; Xin Zhang; Wenshan Wu; Qihao Zhao; Hao Li; Yuanyuan Gao; Kim-Hui Yap; Scarlett Li"
Implication not extracted yet.
partial
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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/demystifying-data-organization-for-enhanced-llm-training
Paper ref
demystifying-data-organization-for-enhanced-llm-training
arXiv id
2605.30334
Generated at
2026-05-29T20:34:18.485Z
Evidence freshness
stale
Last verification
2026-05-29T20:34:18.485Z
Sources
4
References
0
Coverage
83%
Lineage hash
93871596b147633c50752b71f7272c906ebfd8c57c3f2f11e379946381b6f934
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 / 4 sources / Verification pending
references