Evidence Receipt. Related Resources.
Evidence Receipt. Related Resources.
Compared to this week’s papers
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Page Freshness
Canonical route: /signal-canvas/pyramathbench-evaluating-and-improving-mathematical-capability-in-large-language-models
Page-specific freshness sourced from this paper's evidence receipt and score bundle.
Agent Handoff
Canonical ID pyramathbench-evaluating-and-improving-mathematical-capability-in-large-language-models | Route /signal-canvas/pyramathbench-evaluating-and-improving-mathematical-capability-in-large-language-models
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/pyramathbench-evaluating-and-improving-mathematical-capability-in-large-language-modelsMCP example
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References: Pending verification
Proof: Verification pending
Freshness state: computing
Source paper: PyraMathBench: Evaluating and Improving Mathematical Capability in Large Language Models
PDF: https://arxiv.org/pdf/2606.03858v1
Repository: https://github.com/optifine233-ship-it/PyraMathBench
Source count: 4
Coverage: 83%
Last proof check: 2026-06-03T20:32:57.862Z
Signal Canvas receipt window
/buildability/pyramathbench-evaluating-and-improving-mathematical-capability-in-large-language-models
Subject: PyraMathBench: Evaluating and Improving Mathematical Capability in Large Language Models
Verdict
Preparing verified analysis
Dimensions overall score 5.0
{"file name": "input.pdf", "number of pages": 31, "author": "Zetian Ouyang; Linlin Wang; Gerard de Melo; Liang He", "title": "PyraMathBench: Evaluating and Improving Mathematical Capability in Large Language Models"
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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Watch
Verdict is Watch because viability or proof quality is intermediate and should be re-evaluated before execution.
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/pyramathbench-evaluating-and-improving-mathematical-capability-in-large-language-models
Paper ref
pyramathbench-evaluating-and-improving-mathematical-capability-in-large-language-models
arXiv id
2606.03858
Generated at
2026-06-03T20:32:57.862Z
Evidence freshness
fresh
Last verification
2026-06-03T20:32:57.862Z
Sources
4
References
0
Coverage
83%
Lineage hash
fceb84f02c4a44caf819e2198e2b580780d79bd4307a85270303fdec40c1087b
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