Evidence Receipt. Related Resources.
Evidence Receipt. Related Resources.
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Page Freshness
Canonical route: /signal-canvas/sharp-asymptotic-theory-for-q-learning-with-ldtz-learning-rate-and-its-generalization
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Agent Handoff
Canonical ID sharp-asymptotic-theory-for-q-learning-with-ldtz-learning-rate-and-its-generalization | Route /signal-canvas/sharp-asymptotic-theory-for-q-learning-with-ldtz-learning-rate-and-its-generalization
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/sharp-asymptotic-theory-for-q-learning-with-ldtz-learning-rate-and-its-generalizationMCP example
{
"tool": "search_signal_canvas",
"arguments": {
"mode": "paper",
"paper_ref": "sharp-asymptotic-theory-for-q-learning-with-ldtz-learning-rate-and-its-generalization",
"query_text": "Summarize Sharp asymptotic theory for Q-learning with LDTZ learning rate and its generalization"
}
}source_context
{
"surface": "signal_canvas",
"mode": "paper",
"query": "Sharp asymptotic theory for Q-learning with LDTZ learning rate and its generalization",
"normalized_query": "2604.04218",
"route": "/signal-canvas/sharp-asymptotic-theory-for-q-learning-with-ldtz-learning-rate-and-its-generalization",
"paper_ref": "sharp-asymptotic-theory-for-q-learning-with-ldtz-learning-rate-and-its-generalization",
"topic_slug": null,
"benchmark_ref": null,
"dataset_ref": null
}Claims: 0
References: Pending verification
Proof: Verification pending
Freshness state: computing
Source paper: Sharp asymptotic theory for Q-learning with LDTZ learning rate and its generalization
PDF: https://arxiv.org/pdf/2604.04218v1
Source count: Pending verification
Coverage: 0%
Last proof check: 2026-04-07T20:14:30.615Z
Signal Canvas receipt window
/buildability/sharp-asymptotic-theory-for-q-learning-with-ldtz-learning-rate-and-its-generalization
Subject: Sharp asymptotic theory for Q-learning with LDTZ learning rate and its generalization
Verdict
Ignore
Verdict is Ignore because current viability and proof state do not clear the buildability gate.
Preparing verified analysis
Dimensions overall score 3.0
No public code linked for this paper yet.
CLAIM MAP
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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
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Structured compute envelope
Insufficient data
No data, compute, hardware, memory, latency, dependency, or serving requirement receipt is attached.
Receipt path
/buildability/sharp-asymptotic-theory-for-q-learning-with-ldtz-learning-rate-and-its-generalization
Paper ref
sharp-asymptotic-theory-for-q-learning-with-ldtz-learning-rate-and-its-generalization
arXiv id
2604.04218
Generated at
2026-04-07T20:14:30.615Z
Evidence freshness
unknown
Last verification
2026-04-07T20:14:30.615Z
Sources
0
References
0
Coverage
0%
Lineage hash
c446c589f9115ac2c7c5ddaf5f9bce41cd46d02007ddcb5dbf537dac489d1387
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
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