Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-11T20:38:23.762580Z
Paper Citation Record · LEDGER
As of 22 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 1 inbound Pith citation observation for arXiv:2412.05644.
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 2026-08-11T20:38:23.762580Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T05:55:56.498566Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-07T05:55:57.211220Z
48 of 48 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 83395ac3-5424-4702-b68b-4f7a130ce83a · outbound
Mixture of Hidden-Dimensions Transformer write newline
Reference 1
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Observation 0f94a630-6bbb-421f-aaf1-0c5ef7562a01 · outbound
Mixture of Hidden-Dimensions Transformer LLM in a flash: Efficient Large Language Model Inference with Limited Memory
Reference 2
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Observation 8f8b5925-9250-40e9-a66e-2a7ff1573aa9 · outbound
Mixture of Hidden-Dimensions Transformer Anthropic: Introducing claude 2.1, 2023
Reference 3
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Observation e8a30ba0-0fba-41e0-8832-aa881778c5e2 · outbound
Mixture of Hidden-Dimensions Transformer Piqa: Reasoning about physical commonsense in natural language
Reference 4
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Mixture of Hidden-Dimensions Transformer Flextron: Many-in-One Flexible Large Language Model
Reference 5
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Observation f15ff33b-c536-4ea6-82f9-8afc2ae39bc5 · outbound
Mixture of Hidden-Dimensions Transformer A Survey on Mixture of Experts in Large Language Models
Reference 6
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Mixture of Hidden-Dimensions Transformer LoRAShear: Efficient Large Language Model Structured Pruning and Knowledge Recovery
Reference 7
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Mixture of Hidden-Dimensions Transformer LEMON : Reviving stronger and smaller LM s from larger LM s with linear parameter fusion
Reference 8
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Reference 9
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Mixture of Hidden-Dimensions Transformer Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge
Reference 11
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Mixture of Hidden-Dimensions Transformer DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models
Reference 12
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Observation 36cc006f-df35-424a-bbe6-073d28722ee4 · outbound
Mixture of Hidden-Dimensions Transformer Monarch: Expressive Structured Matrices for Efficient and Accurate Training
Reference 13
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Observation 251f4a72-c186-4a83-a231-be02c949b287 · outbound
Mixture of Hidden-Dimensions Transformer Introducing pathways: A next-generation ai architecture
Reference 14
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Observation 134d4614-fcdb-4d9e-8495-105c5b566cac · outbound
Mixture of Hidden-Dimensions Transformer Switch transformers: Scaling to trillion parameter models with simple and efficient sparsity
Reference 15
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Observation a7c83a93-222a-4d18-9a22-83496f7fc5a8 · outbound
Mixture of Hidden-Dimensions Transformer A framework for few-shot language model evaluation
Reference 16
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Observation 2e15dfd2-0f4f-43be-9971-1778a7965906 · outbound
Mixture of Hidden-Dimensions Transformer Mixture of A Million Experts
Reference 17
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Observation 8b7687f0-0192-48a2-a4b4-0ab6c2483d55 · outbound
Mixture of Hidden-Dimensions Transformer Mixture of Nested Experts: Adaptive Processing of Visual Tokens
Reference 18
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Observation a4fd6eab-201d-4aed-9c98-c7c4935e0d0d · outbound
Reference 20
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Observation fa8d3155-7b72-47c2-bec2-d53ff50e70a0 · outbound
Mixture of Hidden-Dimensions Transformer Scaling Laws for Neural Language Models
Reference 21
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Observation 813f5a5b-7772-49da-be1f-3f3e0697d419 · outbound
Mixture of Hidden-Dimensions Transformer Distributionally Robust Receive Combining
Reference 22
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Observation d6160df5-f70d-4b0a-ae11-44e9c8b9f3db · outbound
Mixture of Hidden-Dimensions Transformer Branch-Train-Merge: Embarrassingly Parallel Training of Expert Language Models
Reference 23
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Observation 0026c00e-54a2-4099-baa1-eeb290ce74ce · outbound
Mixture of Hidden-Dimensions Transformer LogiQA: A Challenge Dataset for Machine Reading Comprehension with Logical Reasoning
Reference 25
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Observation c9d39f9a-2862-4fbb-bb56-cb5a9878fac3 · outbound
Mixture of Hidden-Dimensions Transformer Training-Free Activation Sparsity in Large Language Models
Reference 26
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Observation acd7c951-1ff5-4c8d-bab9-564b570a548b · outbound
Mixture of Hidden-Dimensions Transformer Deja vu: Contextual sparsity for efficient LLM s at inference time
Reference 27
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Observation deb19e93-f95b-456c-ad2a-2e0a1970e471 · outbound
Mixture of Hidden-Dimensions Transformer Deja Vu: Contextual Sparsity for Efficient LLMs at Inference Time
Reference 28
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Observation fab095ce-f06a-476b-bf6d-35a2bc12ecd0 · outbound
Mixture of Hidden-Dimensions Transformer LLM-Pruner: On the Structural Pruning of Large Language Models
Reference 29
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Observation efe7dd8d-2724-4841-bcb7-89752714703c · outbound
Mixture of Hidden-Dimensions Transformer ReLU Strikes Back: Exploiting Activation Sparsity in Large Language Models
Reference 30
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Observation 63bedd7a-4c85-4f41-b5b4-fb48275abb05 · outbound
Mixture of Hidden-Dimensions Transformer Openai: Gpt-4, 2023
Reference 31
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Mixture of Hidden-Dimensions Transformer The LAMBADA dataset: Word prediction requiring a broad discourse context
Reference 32
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Observation 900cd83a-d1e2-4b7c-a866-5afdd78232d1 · outbound
Mixture of Hidden-Dimensions Transformer Unlocking emergent modularity in large language models
Reference 33
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Observation 7e99c9f0-680f-4d21-9f80-eb79e66ec93d · outbound
Mixture of Hidden-Dimensions Transformer Scaling vision with sparse mixture of experts
Reference 34
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Observation 79213a82-fe64-45f9-b6ef-86747e80cee7 · outbound
Mixture of Hidden-Dimensions Transformer L., Bhagavatula, C., and Choi, Y
Reference 35
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Observation 4c9521c7-44c7-4ce4-9a29-0817068b233b · outbound
Mixture of Hidden-Dimensions Transformer Unresolved cited work
Reference 36
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Observation e18e27b0-5b0e-4473-8279-26e4045212f3 · outbound
Mixture of Hidden-Dimensions Transformer ProSparse: Introducing and Enhancing Intrinsic Activation Sparsity within Large Language Models
Reference 37
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Observation 5e44806e-2abe-484e-a7ca-7cfb77db5dcc · outbound
Mixture of Hidden-Dimensions Transformer PowerInfer: Fast Large Language Model Serving with a Consumer-grade GPU
Reference 39
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Observation 6e121a36-00bb-4b59-b0c4-2d3a319431c3 · outbound
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Reference 40
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Observation 43d8b85a-5d62-4c95-8e16-da0010f231b7 · outbound
Mixture of Hidden-Dimensions Transformer Redpajama: An open source recipe to reproduce llama training dataset, 2023
Reference 41
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Mixture of Hidden-Dimensions Transformer Llama 2: Open Foundation and Fine-Tuned Chat Models
Reference 43
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Mixture of Hidden-Dimensions Transformer Attention Is All You Need
Reference 44
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Observation 67aaca1c-7019-4060-9e12-9535dd2ec51d · outbound
Mixture of Hidden-Dimensions Transformer Ladder: Enabling efficient low-precision deep learning computing through hardware-aware tensor transformation
Reference 45
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Observation f408b0e1-b86c-4963-ab88-ffa3c3b63ba3 · outbound
Mixture of Hidden-Dimensions Transformer Crowdsourcing Multiple Choice Science Questions
Reference 46
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Mixture of Hidden-Dimensions Transformer Multi-Head Mixture-of-Experts
Reference 47
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Mixture of Hidden-Dimensions Transformer Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning
Reference 48
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Mixture of Hidden-Dimensions Transformer OpenMoE: An Early Effort on Open Mixture-of-Experts Language Models
Reference 50
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Observation 1f73b69a-b2e1-49d4-bc5a-c7312741f42e · outbound
Mixture of Hidden-Dimensions Transformer The Lazy Neuron Phenomenon: On Emergence of Activation Sparsity in Transformers
Reference 51
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Observation a3372cce-7bf2-47dd-bf62-0e08fccbba74 · outbound
Mixture of Hidden-Dimensions Transformer Hellaswag: Can a machine really finish your sentence? In Korhonen, A., Traum, D
Reference 52
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Observation e4b8fc5f-2351-4276-a861-d726c0ea1ede · outbound
Mixture of Hidden-Dimensions Transformer ReLU$^2$ Wins: Discovering Efficient Activation Functions for Sparse LLMs
Reference 53
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Observation 900fa513-18e7-4f17-9125-4cbef946aa94 · outbound
Mixture of Hidden-Dimensions Transformer M., Le, Q
Reference 54
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Observation b8508283-0f69-4d8c-bc68-e18a0f13dc5f · inbound
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Reference 7
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