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/robots-that-know-what-to-ask-recovering-misaligned-rewards-through-targeted-explanations
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 robots-that-know-what-to-ask-recovering-misaligned-rewards-through-targeted-explanations | Route /signal-canvas/robots-that-know-what-to-ask-recovering-misaligned-rewards-through-targeted-explanations
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/robots-that-know-what-to-ask-recovering-misaligned-rewards-through-targeted-explanationsMCP example
{
"tool": "search_signal_canvas",
"arguments": {
"mode": "paper",
"paper_ref": "robots-that-know-what-to-ask-recovering-misaligned-rewards-through-targeted-explanations",
"query_text": "Summarize Robots That Know What to Ask: Recovering Misaligned Rewards through Targeted Explanations"
}
}source_context
{
"surface": "signal_canvas",
"mode": "paper",
"query": "Robots That Know What to Ask: Recovering Misaligned Rewards through Targeted Explanations",
"normalized_query": "2605.22986",
"route": "/signal-canvas/robots-that-know-what-to-ask-recovering-misaligned-rewards-through-targeted-explanations",
"paper_ref": "robots-that-know-what-to-ask-recovering-misaligned-rewards-through-targeted-explanations",
"topic_slug": null,
"benchmark_ref": null,
"dataset_ref": null
}Claims: 0
References: Pending verification
Proof: Verification pending
Freshness state: computing
Source paper: Robots That Know What to Ask: Recovering Misaligned Rewards through Targeted Explanations
PDF: https://arxiv.org/pdf/2605.22986v1
Source count: 3
Coverage: 50%
Last proof check: 2026-05-25T20:35:55.778Z
Signal Canvas receipt window
/buildability/robots-that-know-what-to-ask-recovering-misaligned-rewards-through-targeted-explanations
Subject: Robots That Know What to Ask: Recovering Misaligned Rewards through Targeted Explanations
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 7.0
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/robots-that-know-what-to-ask-recovering-misaligned-rewards-through-targeted-explanations
Paper ref
robots-that-know-what-to-ask-recovering-misaligned-rewards-through-targeted-explanations
arXiv id
2605.22986
Generated at
2026-05-25T20:35:55.778Z
Evidence freshness
stale
Last verification
2026-05-25T20:35:55.778Z
Sources
3
References
0
Coverage
50%
Lineage hash
94940c88e37c409c77426a66e9927ef4f4534cd0b5e8020a3162f74b541f6eaf
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