Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T13:30:42.197839Z
Paper Citation Record · LEDGER
As of 8 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 0 inbound Pith citation observations for arXiv:2505.21670.
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 2026-08-07T13:30:42.197839Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
48 of 48 outbound references displayed
External citation measurements
No source-named external measurement is stored.
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Rethinking the Outlier Distribution in Large Language Models: An In-depth Study GPT-4 Technical Report
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Rethinking the Outlier Distribution in Large Language Models: An In-depth Study SliceGPT: Compress Large Language Models by Deleting Rows and Columns
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Reference 12
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Rethinking the Outlier Distribution in Large Language Models: An In-depth Study GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers
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Rethinking the Outlier Distribution in Large Language Models: An In-depth Study Gaussian Error Linear Units (GELUs)
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Reference 16
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Reference 17
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Reference 18
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Reference 21
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Reference 23
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Rethinking the Outlier Distribution in Large Language Models: An In-depth Study SpinQuant: LLM quantization with learned rotations
Reference 24
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Reference 26
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Reference 27
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Rethinking the Outlier Distribution in Large Language Models: An In-depth Study Unresolved cited work
Reference 28
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Rethinking the Outlier Distribution in Large Language Models: An In-depth Study Unresolved cited work
Reference 29
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Rethinking the Outlier Distribution in Large Language Models: An In-depth Study OmniQuant: Omnidirectionally Calibrated Quantization for Large Language Models
Reference 30
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Rethinking the Outlier Distribution in Large Language Models: An In-depth Study Massive Activations in Large Language Models
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Rethinking the Outlier Distribution in Large Language Models: An In-depth Study Unresolved cited work
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Reference 38
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Reference 40
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Rethinking the Outlier Distribution in Large Language Models: An In-depth Study Unresolved cited work
Reference 42
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