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/learning-to-route-llms-from-implicit-cost-performance-preferences-via-meta-learning
Page-specific freshness sourced from this paper's evidence receipt and score bundle.
Agent Handoff
Canonical ID learning-to-route-llms-from-implicit-cost-performance-preferences-via-meta-learning | Route /signal-canvas/learning-to-route-llms-from-implicit-cost-performance-preferences-via-meta-learning
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/learning-to-route-llms-from-implicit-cost-performance-preferences-via-meta-learningMCP example
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}
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"query": "Learning to Route LLMs from Implicit Cost-Performance Preferences via Meta-Learning",
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References: Pending verification
Proof: Verification pending
Freshness state: computing
Source paper: Learning to Route LLMs from Implicit Cost-Performance Preferences via Meta-Learning
PDF: https://arxiv.org/pdf/2606.06178v1
Source count: 3
Coverage: 50%
Last proof check: 2026-06-06T03:19:07.417Z
Signal Canvas receipt window
/buildability/learning-to-route-llms-from-implicit-cost-performance-preferences-via-meta-learning
Subject: Learning to Route LLMs from Implicit Cost-Performance Preferences via Meta-Learning
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": 9, "author": "Jiahao Zeng; Ming Tang; Ningning Ding", "title": "Learning to Route LLMs from Implicit Cost-Performance Preferences via Meta-Learning", "creation date": null
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/learning-to-route-llms-from-implicit-cost-performance-preferences-via-meta-learning
Paper ref
learning-to-route-llms-from-implicit-cost-performance-preferences-via-meta-learning
arXiv id
2606.06178
Generated at
2026-06-06T03:19:07.417Z
Evidence freshness
fresh
Last verification
2026-06-06T03:19:07.417Z
Sources
3
References
0
Coverage
50%
Lineage hash
a5ba66d4133b36ad240ccbf60ccf8219a9fafdbecbd756c39c2c3f453d82f8d4
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