Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-10T21:46:30.985904Z
Paper Citation Record · LEDGER
As of 23 August 2026, this Paper Citation Record lists 61 of 61 outbound references and 1 inbound Pith citation observation for arXiv:2501.04211.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-10T21:46:30.985904Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T11:35:19.550406Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-10T05:30:23.456663Z
61 of 61 outbound references displayed
External citation measurements
1
pith, observed 2026-08-10T05:30:23.456663Z
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Reference 1
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CURing Large Models: Compression via CUR Decomposition GPT-4 Technical Report
Reference 2
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CURing Large Models: Compression via CUR Decomposition SliceGPT: Compress Large Language Models by Deleting Rows and Columns
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CURing Large Models: Compression via CUR Decomposition C., and Patera, A
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CURing Large Models: Compression via CUR Decomposition E., Hume, T., Carter, S., Henighan, T., and Olah, C
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CURing Large Models: Compression via CUR Decomposition W., and Muthukrishnan, S
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CURing Large Models: Compression via CUR Decomposition The Llama 3 Herd of Models
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CURing Large Models: Compression via CUR Decomposition and Young, G
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CURing Large Models: Compression via CUR Decomposition CURLoRA: Stable LLM Continual Fine-Tuning and Catastrophic Forgetting Mitigation
Reference 18
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CURing Large Models: Compression via CUR Decomposition STAT: Shrinking Transformers After Training
Reference 19
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CURing Large Models: Compression via CUR Decomposition Persistent Topological Features in Large Language Models
Reference 20
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CURing Large Models: Compression via CUR Decomposition Better & Faster Large Language Models via Multi-token Prediction
Reference 21
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CURing Large Models: Compression via CUR Decomposition The Unreasonable Ineffectiveness of the Deeper Layers
Reference 22
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CURing Large Models: Compression via CUR Decomposition M., and Liu, Y
Reference 23
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CURing Large Models: Compression via CUR Decomposition Stability of Sampling for CUR Decompositions
Reference 24
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CURing Large Models: Compression via CUR Decomposition and Huang, L
Reference 25
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CURing Large Models: Compression via CUR Decomposition Distilling the Knowledge in a Neural Network
Reference 26
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CURing Large Models: Compression via CUR Decomposition Approximation capabilities of multilayer feedforward networks
Reference 27
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CURing Large Models: Compression via CUR Decomposition LoRA: Low-Rank Adaptation of Large Language Models
Reference 28
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CURing Large Models: Compression via CUR Decomposition Sparse is enough in scaling transformers
Reference 29
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CURing Large Models: Compression via CUR Decomposition Just CHOP: Embarrassingly Simple LLM Compression
Reference 30
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CURing Large Models: Compression via CUR Decomposition MoRA: High-Rank Updating for Parameter-Efficient Fine-Tuning
Reference 31
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CURing Large Models: Compression via CUR Decomposition DeepSeek-V3 Technical Report
Reference 32
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CURing Large Models: Compression via CUR Decomposition Decoupled Weight Decay Regularization
Reference 33
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CURing Large Models: Compression via CUR Decomposition SGDR: Stochastic Gradient Descent with Warm Restarts
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CURing Large Models: Compression via CUR Decomposition Are sixteen heads really better than one? Advances in neural information processing systems, 32, 2019
Reference 37
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CURing Large Models: Compression via CUR Decomposition and Zdeborov \'a , L
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CURing Large Models: Compression via CUR Decomposition The Truth is in There: Improving Reasoning in Language Models with Layer-Selective Rank Reduction
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CURing Large Models: Compression via CUR Decomposition BitStack: Any-Size Compression of Large Language Models in Variable Memory Environments
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