Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-10T15:50:22.077513Z
Paper Citation Record · LEDGER
As of 11 August 2026, this Paper Citation Record lists 53 of 53 outbound references and 2 inbound Pith citation observations for arXiv:2501.13629.
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 2026-08-10T15:50:22.077513Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T13:32:31.119922Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-19T03:37:00.945663Z
53 of 53 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 5c94ecbd-862a-4fe4-ab6c-55395bb102d1 · outbound
Sigma: Differential Rescaling of Query, Key and Value for Efficient Language Models Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone
Reference 1
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Observation f15bdfe8-a257-4a2b-99f6-332d94dff2e6 · outbound
Sigma: Differential Rescaling of Query, Key and Value for Efficient Language Models Unresolved cited work
Reference 4
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Observation 975c55ac-f182-4b34-9ee7-74e2f95ebfab · outbound
Sigma: Differential Rescaling of Query, Key and Value for Efficient Language Models Stable LM 2 1.6B Technical Report
Reference 5
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Observation 278f5b85-2afd-4c40-b38b-280b2bcc6710 · outbound
Sigma: Differential Rescaling of Query, Key and Value for Efficient Language Models Longformer: The Long-Document Transformer
Reference 6
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Observation def6a48e-8f04-4e46-a548-266286d98b33 · outbound
Sigma: Differential Rescaling of Query, Key and Value for Efficient Language Models Large Language Monkeys: Scaling Inference Compute with Repeated Sampling
Reference 8
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Observation 5fc5cdeb-a7c1-4b39-9625-dbc7b46180be · outbound
Sigma: Differential Rescaling of Query, Key and Value for Efficient Language Models Sparks of Artificial General Intelligence: Early experiments with GPT-4
Reference 9
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Observation 035c2ef5-0855-4056-8ba5-6fac47e83ee7 · outbound
Sigma: Differential Rescaling of Query, Key and Value for Efficient Language Models Evaluating Large Language Models Trained on Code
Reference 10
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Observation 295a5ccb-bbeb-4423-8888-ce02474df9ff · outbound
Sigma: Differential Rescaling of Query, Key and Value for Efficient Language Models BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions
Reference 11
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Observation 062b003f-1df7-44e2-8f13-5c5db5248b25 · outbound
Sigma: Differential Rescaling of Query, Key and Value for Efficient Language Models DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models
Reference 14
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Observation 439cc4b4-6d82-4bad-9ff3-74072317e416 · outbound
Sigma: Differential Rescaling of Query, Key and Value for Efficient Language Models Cerebras-GPT: Open Compute-Optimal Language Models Trained on the Cerebras Wafer-Scale Cluster
Reference 15
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Observation 829f0445-1862-4a57-9094-7be4c354c2ad · outbound
Sigma: Differential Rescaling of Query, Key and Value for Efficient Language Models The Llama 3 Herd of Models
Reference 16
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Observation 24c2ab63-4ef5-482e-a2b8-e449b945103d · outbound
Sigma: Differential Rescaling of Query, Key and Value for Efficient Language Models ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools
Reference 17
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Observation 3ee3c350-8471-4513-b338-7772702138d9 · outbound
Sigma: Differential Rescaling of Query, Key and Value for Efficient Language Models OLMo: Accelerating the Science of Language Models
Reference 18
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Observation 1d893888-6a44-44b9-84fd-15ad4464c20f · outbound
Sigma: Differential Rescaling of Query, Key and Value for Efficient Language Models Textbooks Are All You Need
Reference 19
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Observation 61e915ce-4f28-43bb-8fb5-cc32721a0b38 · outbound
Sigma: Differential Rescaling of Query, Key and Value for Efficient Language Models Memory-efficient Transformers via Top-$k$ Attention
Reference 20
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Observation 5691c93a-99ce-47cf-8d30-535656870aea · outbound
Sigma: Differential Rescaling of Query, Key and Value for Efficient Language Models LM-infinite: Zero-shot extreme length generalization for large language models
Reference 21
Source-reported events for the cited work
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Observation 274c669d-aec4-49be-8811-1b201ef457fe · outbound
Sigma: Differential Rescaling of Query, Key and Value for Efficient Language Models FastDecode: High-Throughput GPU-Efficient LLM Serving using Heterogeneous Pipelines
Reference 22
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Observation 635abfae-34d2-4df7-bd5b-1490ff86acbe · outbound
Sigma: Differential Rescaling of Query, Key and Value for Efficient Language Models Measuring Massive Multitask Language Understanding
Reference 23
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Observation b8535ed5-d8a8-4581-8a44-f55c0c1ba4f5 · outbound
Sigma: Differential Rescaling of Query, Key and Value for Efficient Language Models MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training Strategies
Reference 24
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Observation 46a89846-debf-453c-b16b-631f7528a2b8 · outbound
Sigma: Differential Rescaling of Query, Key and Value for Efficient Language Models Scaling Laws for Neural Language Models
Reference 25
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Observation 9594843b-cf1a-45de-9518-f2d03e9cac62 · outbound
Sigma: Differential Rescaling of Query, Key and Value for Efficient Language Models DataComp-LM: In search of the next generation of training sets for language models
Reference 26
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Observation 50ebd4a3-c042-4000-9574-e7d66d5ddbf4 · outbound
Sigma: Differential Rescaling of Query, Key and Value for Efficient Language Models LogiQA: A Challenge Dataset for Machine Reading Comprehension with Logical Reasoning
Reference 27
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Observation cbffae5e-3259-40a6-8775-7bd309d8af21 · outbound
Sigma: Differential Rescaling of Query, Key and Value for Efficient Language Models MobileLLM: Optimizing Sub-billion Parameter Language Models for On-Device Use Cases
Reference 28
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Observation bd1c4c82-473f-4bf9-82d3-8dcd390411cf · outbound
Sigma: Differential Rescaling of Query, Key and Value for Efficient Language Models OpenELM: An Efficient Language Model Family with Open Training and Inference Framework
Reference 29
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Observation 935baa46-b278-4059-94c9-4216709a48d9 · outbound
Sigma: Differential Rescaling of Query, Key and Value for Efficient Language Models Crosslingual Generalization through Multitask Finetuning
Reference 30
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Observation 09ae0fca-2fec-4119-865b-cfcc12c788e2 · outbound
Sigma: Differential Rescaling of Query, Key and Value for Efficient Language Models Fast Transformer Decoding: One Write-Head is All You Need
Reference 32
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Observation 87415344-5f4d-4e26-837e-257f1bcaa594 · outbound
Sigma: Differential Rescaling of Query, Key and Value for Efficient Language Models You Only Cache Once: Decoder-Decoder Architectures for Language Models
Reference 33
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Observation 8fb2f21f-e0ef-42ee-8ea8-e223838bbc8b · outbound
Sigma: Differential Rescaling of Query, Key and Value for Efficient Language Models Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them
Reference 34
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Observation 7adfde4e-8019-41b0-b75e-bfa92e2aef56 · outbound
Sigma: Differential Rescaling of Query, Key and Value for Efficient Language Models Crowdsourcing Multiple Choice Science Questions
Reference 37
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Observation eb0ca9fb-c7d5-43a6-98d7-ad840d762eda · outbound
Sigma: Differential Rescaling of Query, Key and Value for Efficient Language Models DeepSeek-Prover-V1.5: Harnessing Proof Assistant Feedback for Reinforcement Learning and Monte-Carlo Tree Search
Reference 38
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Observation b910b473-1d98-4a38-bb75-b07b9fc2a918 · outbound
Sigma: Differential Rescaling of Query, Key and Value for Efficient Language Models Qwen2 Technical Report
Reference 39
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Observation ea036654-4797-48a1-85ee-43b240bba0bd · outbound
Sigma: Differential Rescaling of Query, Key and Value for Efficient Language Models HellaSwag: Can a Machine Really Finish Your Sentence?
Reference 40
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Observation bb604531-9f86-4a95-a722-a19aae6b7d90 · outbound
Sigma: Differential Rescaling of Query, Key and Value for Efficient Language Models TinyLlama: An Open-Source Small Language Model
Reference 41
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Observation 8e693bb6-c968-4365-b2b1-5fe037c91411 · outbound
Sigma: Differential Rescaling of Query, Key and Value for Efficient Language Models A Survey on Efficient Inference for Large Language Models
Reference 42
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Observation 4ad9a14d-aa44-4051-baf3-e91343b9ea33 · outbound
Sigma: Differential Rescaling of Query, Key and Value for Efficient Language Models Unresolved cited work
Reference 43
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Observation 57436a0e-d8d3-464e-9265-fec22c8ab6b7 · outbound
Sigma: Differential Rescaling of Query, Key and Value for Efficient Language Models Unresolved cited work
Reference 44
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Observation 11b3c6bb-3722-444c-825b-b1afd5d9021d · outbound
Sigma: Differential Rescaling of Query, Key and Value for Efficient Language Models MQA is a variant of the standard Multi-Head Attention (MHA) mechanism, where all query heads share a single key head and value head
Reference 45
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Observation 5f356d01-08c5-4785-8ea8-fdd48ee032cb · outbound
Sigma: Differential Rescaling of Query, Key and Value for Efficient Language Models This operation significantly enhances inference efficiency by reducing memory usage
Reference 47
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Observation c40c6226-cc4a-4d8c-b9e4-8d0d8c9105b2 · outbound
Sigma: Differential Rescaling of Query, Key and Value for Efficient Language Models Sel.V-top100
Reference 48
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Observation 76baeb35-e653-4ecf-b9e0-af6f355cfb82 · outbound
Sigma: Differential Rescaling of Query, Key and Value for Efficient Language Models We utilize the same vocabulary as Llama3 (Dubey et al., 2024), with a vocabulary size of 128k
Reference 49
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Observation df503ac4-0015-466c-965c-7ff532b32281 · outbound
Sigma: Differential Rescaling of Query, Key and Value for Efficient Language Models Unresolved cited work
Reference 51
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Observation 06476e3c-9832-40d5-81aa-3028b31efde2 · outbound
Sigma: Differential Rescaling of Query, Key and Value for Efficient Language Models Unresolved cited work
Reference 52
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Observation 4cbb45b9-6355-44b6-819d-8a3c5b23bdbe · outbound
Sigma: Differential Rescaling of Query, Key and Value for Efficient Language Models The evaluation results on various general, coding and math problem-solving benchmarks are shown in Table
Reference 53
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Observation f6103bd0-c76c-49ba-a690-9e296062065f · outbound
Sigma: Differential Rescaling of Query, Key and Value for Efficient Language Models The FineWeb Datasets: Decanting the Web for the Finest Text Data at Scale
Reference 2016
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Observation 7cc7a532-dd2d-43f2-973c-29bb34010358 · outbound
Sigma: Differential Rescaling of Query, Key and Value for Efficient Language Models MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark
Reference 2017
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Observation fc2e5ab9-fa6a-48df-824a-4ae84726c406 · outbound
Sigma: Differential Rescaling of Query, Key and Value for Efficient Language Models Training Verifiers to Solve Math Word Problems
Reference 2018
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Observation 4bb69983-4524-4a16-aaa7-9f5efa17537a · outbound
Sigma: Differential Rescaling of Query, Key and Value for Efficient Language Models Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge
Reference 2019
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Unavailable: canonical work link unavailable.
Observation 2a8512ca-d088-4f2a-b192-7d6577b5871b · outbound
Sigma: Differential Rescaling of Query, Key and Value for Efficient Language Models Reducing Transformer Key-Value Cache Size with Cross-Layer Attention
Reference 2020
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Observation be63b3b5-8dd8-49ae-979b-8de0f1878524 · outbound
Sigma: Differential Rescaling of Query, Key and Value for Efficient Language Models Llemma: An Open Language Model For Mathematics
Reference 2021
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Observation 9f848709-c9fe-4e2b-a873-8d53b114eaff · outbound
Sigma: Differential Rescaling of Query, Key and Value for Efficient Language Models Gemma: Open Models Based on Gemini Research and Technology
Reference 2022
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Observation 6253936d-fde1-4d71-91ac-ec2a0ebd7546 · outbound
Sigma: Differential Rescaling of Query, Key and Value for Efficient Language Models GQA: Training general- ized multi-query transformer models from multi-head checkpoints
Reference 2023
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Observation 4912977d-a85e-4533-baaf-f934a7d80f5a · outbound
Sigma: Differential Rescaling of Query, Key and Value for Efficient Language Models Program Synthesis with Large Language Models
Reference 2024
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Observation a4a29beb-0ceb-4799-893c-080363cfe96f · outbound
Sigma: Differential Rescaling of Query, Key and Value for Efficient Language Models Unresolved cited work
Reference 2048
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Observation 8e4c7db0-b686-4cbb-8373-b9af37adc193 · inbound
Hardware-Efficient Attention for Fast Decoding Sigma: Differential Rescaling of Query, Key and Value for Efficient Language Models
Reference 39
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Observation 52228e1e-b7f4-4c6d-8b9c-bc7f199c4f61 · inbound
Data Mixing Agent: Learning to Re-weight Domains for Continual Pre-training Sigma: Differential Rescaling of Query, Key and Value for Efficient Language Models
Reference 19
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