Evidence Receipt. Related Resources.
Evidence Receipt. Related Resources.
Compared to this week’s papers
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Page Freshness
Canonical route: /signal-canvas/policy-gradient-methods-for-non-markovian-reinforcement-learning
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 policy-gradient-methods-for-non-markovian-reinforcement-learning | Route /signal-canvas/policy-gradient-methods-for-non-markovian-reinforcement-learning
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/policy-gradient-methods-for-non-markovian-reinforcement-learningMCP example
{
"tool": "search_signal_canvas",
"arguments": {
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"paper_ref": "policy-gradient-methods-for-non-markovian-reinforcement-learning",
"query_text": "Summarize Policy Gradient Methods for Non-Markovian Reinforcement Learning"
}
}source_context
{
"surface": "signal_canvas",
"mode": "paper",
"query": "Policy Gradient Methods for Non-Markovian Reinforcement Learning",
"normalized_query": "2605.10816",
"route": "/signal-canvas/policy-gradient-methods-for-non-markovian-reinforcement-learning",
"paper_ref": "policy-gradient-methods-for-non-markovian-reinforcement-learning",
"topic_slug": null,
"benchmark_ref": null,
"dataset_ref": null
}Claims: 0
References: Pending verification
Proof: Verification pending
Freshness state: computing
Source paper: Policy Gradient Methods for Non-Markovian Reinforcement Learning
PDF: https://arxiv.org/pdf/2605.10816v1
Source count: Pending verification
Coverage: 0%
Last proof check: 2026-05-12T20:16:06.822Z
Signal Canvas receipt window
/buildability/policy-gradient-methods-for-non-markovian-reinforcement-learning
Subject: Policy Gradient Methods for Non-Markovian Reinforcement Learning
Verdict
Watch
Verdict is Watch because viability or proof quality is intermediate and should be re-evaluated before execution.
Preparing verified analysis
Dimensions overall score 5.0
No public code linked for this paper yet.
CLAIM MAP
No public claim map is available for this paper yet.
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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/policy-gradient-methods-for-non-markovian-reinforcement-learning
Paper ref
policy-gradient-methods-for-non-markovian-reinforcement-learning
arXiv id
2605.10816
Generated at
2026-05-12T20:16:06.822Z
Evidence freshness
fresh
Last verification
2026-05-12T20:16:06.822Z
Sources
0
References
0
Coverage
0%
Lineage hash
26b21bbc370f167f838e5822813b6bb9263a8e81657a0e897bb290f76c64f27d
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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paper_evidence_receipts.coverage