Evidence Receipt. Related Resources.
Evidence Receipt. Related Resources.
Compared to this week’s papers
Verification pending
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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/arms-automatic-reward-shaping-for-sparse-reward-multi-agent-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 arms-automatic-reward-shaping-for-sparse-reward-multi-agent-reinforcement-learning | Route /signal-canvas/arms-automatic-reward-shaping-for-sparse-reward-multi-agent-reinforcement-learning
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/arms-automatic-reward-shaping-for-sparse-reward-multi-agent-reinforcement-learningMCP example
{
"tool": "search_signal_canvas",
"arguments": {
"mode": "paper",
"paper_ref": "arms-automatic-reward-shaping-for-sparse-reward-multi-agent-reinforcement-learning",
"query_text": "Summarize ARMS: Automatic Reward Shaping for Sparse-Reward Multi-Agent Reinforcement Learning"
}
}source_context
{
"surface": "signal_canvas",
"mode": "paper",
"query": "ARMS: Automatic Reward Shaping for Sparse-Reward Multi-Agent Reinforcement Learning",
"normalized_query": "2605.23562",
"route": "/signal-canvas/arms-automatic-reward-shaping-for-sparse-reward-multi-agent-reinforcement-learning",
"paper_ref": "arms-automatic-reward-shaping-for-sparse-reward-multi-agent-reinforcement-learning",
"topic_slug": null,
"benchmark_ref": null,
"dataset_ref": null
}Claims: 0
References: Pending verification
Proof: Verification pending
Freshness state: computing
Source paper: ARMS: Automatic Reward Shaping for Sparse-Reward Multi-Agent Reinforcement Learning
PDF: https://arxiv.org/pdf/2605.23562v1
Repository: https://github.com/goodfeli/dlbook_notation
Source count: 4
Coverage: 67%
Last proof check: 2026-05-25T20:34:35.891Z
Signal Canvas receipt window
/buildability/arms-automatic-reward-shaping-for-sparse-reward-multi-agent-reinforcement-learning
Subject: ARMS: Automatic Reward Shaping for Sparse-Reward Multi-Agent Reinforcement Learning
Verdict
Ignore
Preparing verified analysis
Dimensions overall score 2.0
CLAIM MAP
No public claim map is available for this paper yet.
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Verdict is Ignore because current viability and proof state do not clear the buildability gate.
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/arms-automatic-reward-shaping-for-sparse-reward-multi-agent-reinforcement-learning
Paper ref
arms-automatic-reward-shaping-for-sparse-reward-multi-agent-reinforcement-learning
arXiv id
2605.23562
Generated at
2026-05-25T20:34:35.891Z
Evidence freshness
stale
Last verification
2026-05-25T20:34:35.891Z
Sources
4
References
0
Coverage
67%
Lineage hash
625a1565de8a226fa328cb558014453bb6dfff960d519166e2e58729292791d2
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
paper_extraction_scorecards