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/hypereyes-dual-grained-efficiency-aware-reinforcement-learning-for-parallel-multimodal-search-agents
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 hypereyes-dual-grained-efficiency-aware-reinforcement-learning-for-parallel-multimodal-search-agents | Route /signal-canvas/hypereyes-dual-grained-efficiency-aware-reinforcement-learning-for-parallel-multimodal-search-agents
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/hypereyes-dual-grained-efficiency-aware-reinforcement-learning-for-parallel-multimodal-search-agentsMCP example
{
"tool": "search_signal_canvas",
"arguments": {
"mode": "paper",
"paper_ref": "hypereyes-dual-grained-efficiency-aware-reinforcement-learning-for-parallel-multimodal-search-agents",
"query_text": "Summarize HyperEyes: Dual-Grained Efficiency-Aware Reinforcement Learning for Parallel Multimodal Search Agents"
}
}source_context
{
"surface": "signal_canvas",
"mode": "paper",
"query": "HyperEyes: Dual-Grained Efficiency-Aware Reinforcement Learning for Parallel Multimodal Search Agents",
"normalized_query": "2605.07177",
"route": "/signal-canvas/hypereyes-dual-grained-efficiency-aware-reinforcement-learning-for-parallel-multimodal-search-agents",
"paper_ref": "hypereyes-dual-grained-efficiency-aware-reinforcement-learning-for-parallel-multimodal-search-agents",
"topic_slug": null,
"benchmark_ref": null,
"dataset_ref": null
}Claims: 0
References: Pending verification
Proof: Verification pending
Freshness state: computing
Source paper: HyperEyes: Dual-Grained Efficiency-Aware Reinforcement Learning for Parallel Multimodal Search Agents
PDF: https://arxiv.org/pdf/2605.07177v1
Repository: https://github.com/Guankai-Li/HyperEyes
Source count: 4
Coverage: 83%
Last proof check: 2026-05-11T20:36:06.125Z
Signal Canvas receipt window
/buildability/hypereyes-dual-grained-efficiency-aware-reinforcement-learning-for-parallel-multimodal-search-agents
Subject: HyperEyes: Dual-Grained Efficiency-Aware Reinforcement Learning for Parallel Multimodal Search Agents
Verdict
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.
Related resources will appear here when this paper maps cleanly to topic, benchmark, or dataset surfaces.
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Build Now
Verdict is Build Now because viability and implementation proof cleared the Wave 1 scaffold thresholds.
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/hypereyes-dual-grained-efficiency-aware-reinforcement-learning-for-parallel-multimodal-search-agents
Paper ref
hypereyes-dual-grained-efficiency-aware-reinforcement-learning-for-parallel-multimodal-search-agents
arXiv id
2605.07177
Generated at
2026-05-11T20:36:06.125Z
Evidence freshness
stale
Last verification
2026-05-11T20:36:06.125Z
Sources
4
References
0
Coverage
83%
Lineage hash
47f9257af9568979d7db2749d47cf8ecbc6dce5eeb01b1aa8dc6cf30c11ee695
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