Evidence Receipt. Related Resources.
Evidence Receipt. Related Resources.
Compared to this week’s papers
Verification pending
Use This Via API or MCP
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Use This Via API or MCP
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/benchmarking-multi-view-bev-object-detection-with-mixed-pinhole-and-fisheye-cameras
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 benchmarking-multi-view-bev-object-detection-with-mixed-pinhole-and-fisheye-cameras | Route /signal-canvas/benchmarking-multi-view-bev-object-detection-with-mixed-pinhole-and-fisheye-cameras
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/benchmarking-multi-view-bev-object-detection-with-mixed-pinhole-and-fisheye-camerasMCP example
{
"tool": "search_signal_canvas",
"arguments": {
"mode": "paper",
"paper_ref": "benchmarking-multi-view-bev-object-detection-with-mixed-pinhole-and-fisheye-cameras",
"query_text": "Summarize Benchmarking Multi-View BEV Object Detection with Mixed Pinhole and Fisheye Cameras"
}
}source_context
{
"surface": "signal_canvas",
"mode": "paper",
"query": "Benchmarking Multi-View BEV Object Detection with Mixed Pinhole and Fisheye Cameras",
"normalized_query": "2603.27818",
"route": "/signal-canvas/benchmarking-multi-view-bev-object-detection-with-mixed-pinhole-and-fisheye-cameras",
"paper_ref": "benchmarking-multi-view-bev-object-detection-with-mixed-pinhole-and-fisheye-cameras",
"topic_slug": null,
"benchmark_ref": null,
"dataset_ref": null
}Claims: 0
References: 29
Proof: Verification pending
Freshness state: computing
Source paper: Benchmarking Multi-View BEV Object Detection with Mixed Pinhole and Fisheye Cameras
PDF: https://arxiv.org/pdf/2603.27818v1
Repository: https://github.com/CesarLiu/FishBEVOD.git
Source count: 4
Coverage: 83%
Last proof check: 2026-03-31T20:30:27.164Z
Signal Canvas receipt window
/buildability/benchmarking-multi-view-bev-object-detection-with-mixed-pinhole-and-fisheye-cameras
Subject: Benchmarking Multi-View BEV Object Detection with Mixed Pinhole and Fisheye Cameras
Verdict
Build Now
Preparing verified analysis
Dimensions overall score 7.0
CLAIM MAP
No public claim map is available for this paper yet.
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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/benchmarking-multi-view-bev-object-detection-with-mixed-pinhole-and-fisheye-cameras
Paper ref
benchmarking-multi-view-bev-object-detection-with-mixed-pinhole-and-fisheye-cameras
arXiv id
2603.27818
Generated at
2026-03-31T20:30:27.164Z
Evidence freshness
stale
Last verification
2026-03-31T20:30:27.164Z
Sources
4
References
29
Coverage
83%
Lineage hash
2e24b6e372e7709edcd00ed1f4c65038056215f36ed0c4b85e0eb15759a10065
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.
29 refs / 4 sources / Verification pending
distribution_readiness_scores
distribution readiness has not been computed yet