RayMamba: Ray-Aligned Serialization for Long-Range 3D Object Detection explores RayMamba enhances 3D object detection by organizing sparse LiDAR data into geometry-aware sequences, significantly improving performance in challenging long-range scenarios.. Commercial viability score: 7/10 in 3D Object Detection.
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Canonical route: /paper/raymamba-ray-aligned-serialization-for-long-range-3d-object-detection
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Canonical ID raymamba-ray-aligned-serialization-for-long-range-3d-object-detection | Route /paper/raymamba-ray-aligned-serialization-for-long-range-3d-object-detection
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/paper/raymamba-ray-aligned-serialization-for-long-range-3d-object-detectionMCP example
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}Paper proof page receipt window
/buildability/raymamba-ray-aligned-serialization-for-long-range-3d-object-detection
Subject: RayMamba: Ray-Aligned Serialization for Long-Range 3D Object Detection
Verdict
Watch
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Insufficient data
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Dimensions overall score 7.0
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Receipt path
/buildability/raymamba-ray-aligned-serialization-for-long-range-3d-object-detection
Paper ref
raymamba-ray-aligned-serialization-for-long-range-3d-object-detection
arXiv id
2604.02903
Generated at
2026-04-06T20:14:01.136Z
Evidence freshness
fresh
Last verification
2026-04-06T20:14:01.136Z
Sources
0
References
0
Coverage
0%
Lineage hash
04afd1dda62de19ed09bce2aebc7ca180a9df65934299f627a1e3a8268779844
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
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Verification pending / evidence receipt incomplete
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