Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-08T15:37:37.564248Z
Paper Citation Record · LEDGER
As of 8 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 7 inbound Pith citation observations for arXiv:2502.06415.
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 2026-08-08T15:37:37.564248Z
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, observed 2026-08-07T15:41:05.394285Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-10T02:26:42.777951Z
38 of 38 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 977cd189-8922-48ed-ab68-51538d021031 · outbound
Systematic Outliers in Large Language Models GPT-4 Technical Report
Reference 1
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Observation 8dee28f5-d110-4ab7-9a72-dec936a0d72b · outbound
Systematic Outliers in Large Language Models The Falcon Series of Open Language Models
Reference 2
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0575314d-d7c4-4971-9357-f904ad994828 · outbound
Systematic Outliers in Large Language Models Language Models are Few-Shot Learners
Reference 3
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3c8aac69-483b-4907-bf51-444c22599a1e · outbound
Systematic Outliers in Large Language Models Redpajama: an open dataset for training large language models, 2023
Reference 4
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 046a9018-cc19-4d79-902d-2b540df1687c · outbound
Systematic Outliers in Large Language Models Unresolved cited work
Reference 5
Source-reported events for the cited work
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Observation 2c6323da-2f88-42b5-af4d-24139eebbb88 · outbound
Systematic Outliers in Large Language Models The Llama 3 Herd of Models
Reference 6
Source-reported events for the cited work
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Observation ca1d7415-ea50-4a64-a6b2-0bc349907e73 · outbound
Systematic Outliers in Large Language Models Sigmoid-weighted linear units for neural network function approximation in reinforcement learning
Reference 7
Source-reported events for the cited work
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Observation 9fe47305-c1fb-4cdd-a013-2f6bdd13060f · outbound
Systematic Outliers in Large Language Models KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization
Reference 8
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Observation 35ed6f44-adb8-435b-855d-44cb71991107 · outbound
Systematic Outliers in Large Language Models Phi-2: The surprising power of small language models, 2023
Reference 9
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Observation a6b527a2-1a53-43bb-bd41-c4d07b736148 · outbound
Reference 10
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Observation 0a4e7dea-4561-4d7f-a890-4ab7fad82bdd · outbound
Systematic Outliers in Large Language Models Unresolved cited work
Reference 11
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Observation 2edf1106-6bd1-437e-b9d2-9bf0b707814f · outbound
Systematic Outliers in Large Language Models A github link forked from jzhang38/tinyllama
Reference 12
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Observation ed53685a-a624-4e28-a71e-3075d0139adb · outbound
Systematic Outliers in Large Language Models BERT Busters: Outlier Dimensions that Disrupt Transformers
Reference 13
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Observation 6eecf4b6-8be3-4404-a18f-cf9af539391b · outbound
Systematic Outliers in Large Language Models Is It a Free Lunch for Removing Outliers during Pretraining?
Reference 14
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Observation a004b574-971a-4575-ac1e-857b6769ef79 · outbound
Systematic Outliers in Large Language Models DuQuant: Distributing Outliers via Dual Transformation Makes Stronger Quantized LLMs
Reference 15
Source-reported events for the cited work
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Observation 31b39ea6-caa1-4484-b291-37bddbb1028a · outbound
Systematic Outliers in Large Language Models Introducing mpt-7b: A new standard for open-source, commercially usable llms, 2023
Reference 16
Source-reported events for the cited work
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Observation af7eab10-dba9-414d-b441-8c4cdfbe98f2 · outbound
Systematic Outliers in Large Language Models Mitigating the Impact of Outlier Channels for Language Model Quantization with Activation Regularization
Reference 17
Source-reported events for the cited work
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Observation 835cd84d-ba6c-4dbd-90a8-06be18dc6b38 · outbound
Systematic Outliers in Large Language Models Training language models to follow instructions with human feedback
Reference 18
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Observation ecab0da4-1727-4c02-bcbc-b058837cb5fe · outbound
Systematic Outliers in Large Language Models Outliers and Calibration Sets have Diminishing Effect on Quantization of Modern LLMs
Reference 19
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Observation 8fd5e80a-707b-4288-996a-1201173f823d · outbound
Systematic Outliers in Large Language Models Unresolved cited work
Reference 20
Source-reported events for the cited work
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Observation c6723273-19a9-4644-b6dd-501f232f704f · outbound
Systematic Outliers in Large Language Models Language models are unsupervised multitask learners
Reference 21
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Observation 1fbe8f8a-bc61-4074-905e-185e3b70a6d6 · outbound
Systematic Outliers in Large Language Models Theory, Analysis, and Best Practices for Sigmoid Self-Attention
Reference 22
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Observation 672375f2-6ff0-4510-afa8-ad7dedc2b92a · outbound
Systematic Outliers in Large Language Models GLU Variants Improve Transformer
Reference 23
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Observation 2dc9d5cb-4384-47f8-bc37-f1a763fc8e60 · outbound
Systematic Outliers in Large Language Models A Simple and Effective Pruning Approach for Large Language Models
Reference 24
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Observation 2ac3d208-f294-4d75-aeee-520b786000be · outbound
Systematic Outliers in Large Language Models Massive Activations in Large Language Models
Reference 25
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Observation c1a225f8-e085-419b-86f4-f5bba29b61aa · outbound
Systematic Outliers in Large Language Models LLaMA: Open and Efficient Foundation Language Models
Reference 26
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Observation 67f432f0-4e32-4d47-a93d-cdac0be07864 · outbound
Systematic Outliers in Large Language Models Llama 2: Open Foundation and Fine-Tuned Chat Models
Reference 27
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Observation 0293f130-d7e9-4e7b-a15f-27ab168209d4 · outbound
Systematic Outliers in Large Language Models Attention is all you need
Reference 28
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Observation cf17b31b-217c-4bdc-92e0-69c914c09aa9 · outbound
Systematic Outliers in Large Language Models Outlier suppression: Pushing the limit of low-bit transformer language models
Reference 29
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Observation 60878c4f-a91b-4e1c-88d6-9e0a032a1d68 · outbound
Systematic Outliers in Large Language Models Smoothquant: Accurate and efficient post-training quantization for large language models
Reference 30
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Observation ec6b186a-ad2c-4bed-a4d3-59a0df020972 · outbound
Systematic Outliers in Large Language Models Efficient Streaming Language Models with Attention Sinks
Reference 31
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Observation d13183e9-b65c-4b3f-bdb4-2e5a59b3ff48 · outbound
Systematic Outliers in Large Language Models Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity
Reference 32
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Observation 1eca9cde-ce5a-49b6-8d67-e972152c81b2 · outbound
Systematic Outliers in Large Language Models OPT: Open Pre-trained Transformer Language Models
Reference 33
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Observation f2cb38a1-3ad3-42ae-9e50-21b3d8ca0648 · outbound
Systematic Outliers in Large Language Models Unveiling Linguistic Regions in Large Language Models
Reference 34
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Observation ef70c818-0913-429e-bc25-9b03c148b8a3 · outbound
Systematic Outliers in Large Language Models write newline
Reference 35
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Observation da0761d7-04c5-4914-9e28-b611371f5947 · outbound
Reference 36
Source-reported events for the cited work
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Observation e0d55b37-3cf4-4a38-9a16-df4594bdaa6b · outbound
Systematic Outliers in Large Language Models Unresolved cited work
Reference 37
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Observation e41e3628-8899-4232-a75d-09690d220116 · outbound
Systematic Outliers in Large Language Models Unresolved cited work
Reference 38
Source-reported events for the cited work
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Observation 18f7cfff-5082-4f97-b094-e30305d06dd1 · inbound
Scaling Law for Quantization-Aware Training Systematic Outliers in Large Language Models
Reference 2
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Observation b7fed80a-da5e-45d1-8316-1cb6f5785a61 · inbound
Four Over Six: More Accurate NVFP4 Quantization with Adaptive Block Scaling Systematic Outliers in Large Language Models
Reference 31
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Observation 04572805-1ac4-4057-b47d-53c2646ac69b · inbound
Locate, Steer, and Improve: A Practical Survey of Actionable Mechanistic Interpretability in Large Language Models Systematic Outliers in Large Language Models
Reference 6
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Observation cacc7e82-bb33-4d6c-be06-62efc0d8d853 · inbound
AgenTEE: Confidential LLM Agent Execution on Edge Devices Systematic Outliers in Large Language Models
Reference 5
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Observation c7908c12-71b6-41d9-a7fb-caabaaaaeb57 · inbound
Registers Matter for Pixel-Space Diffusion Transformers Systematic Outliers in Large Language Models
Reference 57
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Observation dc9d6ca1-9a3a-4a0b-8368-cba5d646fb61 · inbound
OScaR: The Occam's Razor for Extreme KV Cache Quantization in LLMs and Beyond Systematic Outliers in Large Language Models
Reference 3
Source-reported events for the cited work
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Observation a3f4058f-d427-4686-a6f3-52ab0e7e9cbe · inbound
Super Weights in LLMs and the Failure of Selective Training Systematic Outliers in Large Language Models
Reference 2
Source-reported events for the cited work
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