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/test-time-scaling-makes-overtraining-compute-optimal
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 test-time-scaling-makes-overtraining-compute-optimal | Route /signal-canvas/test-time-scaling-makes-overtraining-compute-optimal
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/test-time-scaling-makes-overtraining-compute-optimalMCP example
{
"tool": "search_signal_canvas",
"arguments": {
"mode": "paper",
"paper_ref": "test-time-scaling-makes-overtraining-compute-optimal",
"query_text": "Summarize Test-Time Scaling Makes Overtraining Compute-Optimal"
}
}source_context
{
"surface": "signal_canvas",
"mode": "paper",
"query": "Test-Time Scaling Makes Overtraining Compute-Optimal",
"normalized_query": "2604.01411",
"route": "/signal-canvas/test-time-scaling-makes-overtraining-compute-optimal",
"paper_ref": "test-time-scaling-makes-overtraining-compute-optimal",
"topic_slug": null,
"benchmark_ref": null,
"dataset_ref": null
}Claims: 0
References: Pending verification
Proof: Verification pending
Freshness state: computing
Source paper: Test-Time Scaling Makes Overtraining Compute-Optimal
PDF: https://arxiv.org/pdf/2604.01411v1
Source count: Pending verification
Coverage: 17%
Last proof check: 2026-04-03T20:20:15.372Z
Signal Canvas receipt window
/buildability/test-time-scaling-makes-overtraining-compute-optimal
Subject: Test-Time Scaling Makes Overtraining Compute-Optimal
Verdict
Ignore
Verdict is Ignore because current viability and proof state do not clear the buildability gate.
Time to first demo
Preparing verified analysis
Dimensions overall score 3.0
No public code linked for this paper yet.
CLAIM MAP
No public claim map is available for this paper yet.
Use an AI coding agent to implement this research.
Lightweight coding agent in your terminal.
Agentic coding tool for terminal workflows.
AI agent mindset installer and workflow scaffolder.
AI-first code editor built on VS Code.
Free, open-source editor by Microsoft.
Estimated $10K - $14K over 6-10 weeks.
See exactly what it costs to build this -- with 3 comparable funded startups.
7-day free trial. Cancel anytime.
Discover the researchers behind this paper and find similar experts.
7-day free trial. Cancel anytime.
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/test-time-scaling-makes-overtraining-compute-optimal
Paper ref
test-time-scaling-makes-overtraining-compute-optimal
arXiv id
2604.01411
Generated at
2026-04-03T20:20:15.372Z
Evidence freshness
stale
Last verification
2026-04-03T20:20:15.372Z
Sources
0
References
0
Coverage
17%
Lineage hash
62756c68e35a8ca3fe775e73d959bd19625ef3a9ae736102009ee03bf4d4dbda
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.
Verification pending / evidence receipt incomplete
repo_url
references