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/enhancing-multi-robot-exploration-using-probabilistic-frontier-prioritization-with-dirichlet-process-gaussian-mixtures
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 enhancing-multi-robot-exploration-using-probabilistic-frontier-prioritization-with-dirichlet-process-gaussian-mixtures | Route /signal-canvas/enhancing-multi-robot-exploration-using-probabilistic-frontier-prioritization-with-dirichlet-process-gaussian-mixtures
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/enhancing-multi-robot-exploration-using-probabilistic-frontier-prioritization-with-dirichlet-process-gaussian-mixturesMCP example
{
"tool": "search_signal_canvas",
"arguments": {
"mode": "paper",
"paper_ref": "enhancing-multi-robot-exploration-using-probabilistic-frontier-prioritization-with-dirichlet-process-gaussian-mixtures",
"query_text": "Summarize Enhancing Multi-Robot Exploration Using Probabilistic Frontier Prioritization with Dirichlet Process Gaussian Mixtures"
}
}source_context
{
"surface": "signal_canvas",
"mode": "paper",
"query": "Enhancing Multi-Robot Exploration Using Probabilistic Frontier Prioritization with Dirichlet Process Gaussian Mixtures",
"normalized_query": "2604.03042",
"route": "/signal-canvas/enhancing-multi-robot-exploration-using-probabilistic-frontier-prioritization-with-dirichlet-process-gaussian-mixtures",
"paper_ref": "enhancing-multi-robot-exploration-using-probabilistic-frontier-prioritization-with-dirichlet-process-gaussian-mixtures",
"topic_slug": null,
"benchmark_ref": null,
"dataset_ref": null
}Claims: 0
References: Pending verification
Proof: Verification pending
Freshness state: computing
Source paper: Enhancing Multi-Robot Exploration Using Probabilistic Frontier Prioritization with Dirichlet Process Gaussian Mixtures
PDF: https://arxiv.org/pdf/2604.03042v1
Source count: Pending verification
Coverage: 0%
Last proof check: 2026-04-06T20:16:10.654Z
Signal Canvas receipt window
/buildability/enhancing-multi-robot-exploration-using-probabilistic-frontier-prioritization-with-dirichlet-process-gaussian-mixtures
Subject: Enhancing Multi-Robot Exploration Using Probabilistic Frontier Prioritization with Dirichlet Process Gaussian Mixtures
Verdict
Watch
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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Verdict is Watch because viability or proof quality is intermediate and should be re-evaluated before execution.
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/enhancing-multi-robot-exploration-using-probabilistic-frontier-prioritization-with-dirichlet-process-gaussian-mixtures
Paper ref
enhancing-multi-robot-exploration-using-probabilistic-frontier-prioritization-with-dirichlet-process-gaussian-mixtures
arXiv id
2604.03042
Generated at
2026-04-06T20:16:10.654Z
Evidence freshness
unknown
Last verification
2026-04-06T20:16:10.654Z
Sources
0
References
0
Coverage
0%
Lineage hash
dce0aa1341636e3498b0f5d5fe38bb5f74d2bb6e97bac0d6da613d54a52fee63
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