How Should LLMs Consume High-Quality Data? Optimal Data Scheduling via Quality-Aware Functional Scaling Laws

How Should LLMs Consume High-Quality Data? Optimal Data Scheduling via Quality-Aware Functional Scaling Laws | Signal Canvas | ScienceToStartup

Page Freshness

Signal Canvas proof surface

Canonical route: /signal-canvas/how-should-llms-consume-high-quality-data-optimal-data-scheduling-via-quality-aware-functional-scaling-laws

stale

Proof freshness: stale
Proof status: unverified
Display score: 0/10
Last proof check: 2026-05-27
Score updated: 2026-05-26
Score fresh until: 2026-06-25
References: 0
Source count: 3
Coverage: 50%

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 how-should-llms-consume-high-quality-data-optimal-data-scheduling-via-quality-aware-functional-scaling-laws | Route /signal-canvas/how-should-llms-consume-high-quality-data-optimal-data-scheduling-via-quality-aware-functional-scaling-laws

REST example

curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/how-should-llms-consume-high-quality-data-optimal-data-scheduling-via-quality-aware-functional-scaling-laws

MCP example

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source_context

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Evidence Receipt

Route status: building

Claims: 1

References: Pending verification

Proof: Verification pending

Freshness state: computing

Source paper: How Should LLMs Consume High-Quality Data? Optimal Data Scheduling via Quality-Aware Functional Scaling Laws

PDF: https://arxiv.org/pdf/2605.25698v1

Source count: 3

Coverage: 50%

Last proof check: 2026-05-27T00:05:47.125Z

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Not build-ready: How Should LLMs Consume High-Quality Data? Optimal Data Scheduling via Quality-Aware Functional Scaling Laws

/buildability/how-should-llms-consume-high-quality-data-optimal-data-scheduling-via-quality-aware-functional-scaling-laws

Ignoreblocked

Subject: How Should LLMs Consume High-Quality Data? Optimal Data Scheduling via Quality-Aware Functional Scaling Laws

Verdict

Ignore

Verdict is Ignore because current viability and proof state do not clear the buildability gate.

How Should LLMs Consume High-Quality Data? Optimal Data Scheduling via Quality-Aware Functional Scaling Laws

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