LSRM: High-Fidelity Object-Centric Reconstruction via Scaled Context Windows explores A novel 3D reconstruction model that significantly improves fine-grained texture and appearance recovery by scaling transformer context windows, outperforming state-of-the-art.. Commercial viability score: 7/10 in 3D Reconstruction.
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Canonical route: /paper/lsrm-high-fidelity-object-centric-reconstruction-via-scaled-context-windows
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Canonical ID lsrm-high-fidelity-object-centric-reconstruction-via-scaled-context-windows | Route /paper/lsrm-high-fidelity-object-centric-reconstruction-via-scaled-context-windows
REST example
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/buildability/lsrm-high-fidelity-object-centric-reconstruction-via-scaled-context-windows
Subject: LSRM: High-Fidelity Object-Centric Reconstruction via Scaled Context Windows
Verdict
Watch
Verdict is Watch because viability or proof quality is intermediate and should be re-evaluated before execution.
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Structured compute envelope
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Preparing verified analysis
Dimensions overall score 7.0
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This equation captures one of the core mathematical components of the system. w}_i^{\text {cmp}}, \mb {w}_i^{\text {sel}}, \mb {w}_i^{\text {win}} &= \text {Sigmoid}(\text {Linear}_{\text {gate}}(\m
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Receipt path
/buildability/lsrm-high-fidelity-object-centric-reconstruction-via-scaled-context-windows
Paper ref
lsrm-high-fidelity-object-centric-reconstruction-via-scaled-context-windows
arXiv id
2604.05182
Generated at
2026-04-08T05:53:56.614Z
Evidence freshness
fresh
Last verification
2026-04-08T05:53:56.614Z
Sources
0
References
0
Coverage
0%
Lineage hash
a0d1ef8037c940cbceb0733737069c872dafef6b4e6126fdf4675de797ea3338
Canonical opportunity-kernel lineage hash.
External signature
unsigned_external
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Verification
not_verified
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paper_evidence_receipts.coverage
This equation captures one of the core mathematical components of the system. for each query qi ∈Rhq×dh using specific strategies based on original q, k, and
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This equation captures one of the core mathematical components of the system. y ∈RNy×d, respectively. Note that in self-attention, x and y are the same ten-
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Research neighborhood
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