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  3. Optimal Brain Decomposition for Accurate LLM Low-Rank Approx
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Optimal Brain Decomposition for Accurate LLM Low-Rank Approximation

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Evidence fresh

Evidence Receipt

Freshness: 2026-04-02T20:55:54.50484+00:00

Claims: 0

References: 0

Proof: unverified

Freshness: fresh

Source paper: Optimal Brain Decomposition for Accurate LLM Low-Rank Approximation

PDF: https://arxiv.org/pdf/2604.00821v1

Source count: 3

Coverage: 17%

Last proof check: 2026-04-02T20:55:54.504Z

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Optimal Brain Decomposition for Accurate LLM Low-Rank Approximation

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Canonical Paper Receipt

Last verification: 2026-04-02T20:55:54.504Z

Freshness: fresh

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References: 0

Sources: 3

Coverage: 17%

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Prior Work
Only relative ranks matter in weight-clustered large language models
Score 3.0stable
Higher Viability
Breaking the Blocks: Continuous Low-Rank Decomposed Scaling for Unified LLM Quantization and Adaptation
Score 8.0up
Higher Viability
Swift-SVD: Theoretical Optimality Meets Practical Efficiency in Low-Rank LLM Compression
Score 7.0up
Higher Viability
When Does Sparsity Mitigate the Curse of Depth in LLMs
Score 8.0up
Higher Viability
Bayesian-LoRA: Probabilistic Low-Rank Adaptation of Large Language Models
Score 4.0up
Higher Viability
Diet Your LLM: Dimension-wise Global Pruning of LLMs via Merging Task-specific Importance Score
Score 7.0up
Higher Viability
Stable-LoRA: Stabilizing Feature Learning of Low-Rank Adaptation
Score 8.0up
Competing Approach
State Rank Dynamics in Linear Attention LLMs
Score 3.0stable

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