Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-12T04:44:26.632495Z
Paper Citation Record · LEDGER
As of 20 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 22 inbound Pith citation observations for arXiv:2412.01152.
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 2026-08-12T04:44:26.632495Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T12:29:48.050061Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T17:40:00.416301Z
38 of 38 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation e16ce2b7-7222-49ed-86b1-bc70a5e10427 · outbound
INTELLECT-1 Technical Report The Falcon Series of Open Language Models
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Observation 6e556908-6440-4c19-acf9-f37d65e53c9e · outbound
INTELLECT-1 Technical Report Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling
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Observation 7f46a8e3-a593-4628-aaf6-1b5da985ea54 · outbound
INTELLECT-1 Technical Report Training transformers together, 2022
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Observation 3640ed7d-7e59-44a9-93de-7265a0694d2b · outbound
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Observation 2a53eb3f-d3df-4508-b00b-d9a165015518 · outbound
INTELLECT-1 Technical Report PaLM: Scaling Language Modeling with Pathways
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INTELLECT-1 Technical Report Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge
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INTELLECT-1 Technical Report Training Verifiers to Solve Math Word Problems
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INTELLECT-1 Technical Report LLM.int8(): 8-bit Matrix Multiplication for Transformers at Scale
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Observation 57b941ce-30be-4889-828a-10a67275ac7e · outbound
INTELLECT-1 Technical Report Distributed deep learning in open collaborations
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Observation 6c4f123b-dbb8-42ad-b82c-6b6ec7752a76 · outbound
INTELLECT-1 Technical Report Measuring Massive Multitask Language Understanding
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Observation 4912248d-357f-4082-a29c-8c9bb19db3b5 · outbound
INTELLECT-1 Technical Report Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations
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Observation 0080cbca-d52b-4fcc-b1bd-87af8c1496f6 · outbound
INTELLECT-1 Technical Report OpenDiLoCo: An Open-Source Framework for Globally Distributed Low-Communication Training
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Observation 3aba1d35-98e6-42a4-859a-3b3a1fd3576a · outbound
INTELLECT-1 Technical Report The Stack: 3 TB of permissively licensed source code
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Observation b3a8c0a0-d286-4f9f-8434-f67e104cb51a · outbound
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Observation 047f1fcc-a374-4e4b-b26c-b1dfcc6b67b7 · outbound
INTELLECT-1 Technical Report DataComp-LM: In search of the next generation of training sets for language models
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Observation 3c80d454-47c7-4bf4-a1fb-f91c26b6cdc1 · outbound
INTELLECT-1 Technical Report TruthfulQA: Measuring How Models Mimic Human Falsehoods
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Observation 095c3d4f-4a40-4ab4-b3e6-ae616f6480ea · outbound
INTELLECT-1 Technical Report LLM360: Towards Fully Transparent Open-Source LLMs
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Observation 7ce7b2cc-9e58-4201-aa15-2476c0577046 · outbound
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Observation a1c72543-e576-4f61-8d01-dad83156d5c1 · outbound
INTELLECT-1 Technical Report Leela chess zero, 2019
Reference 22
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INTELLECT-1 Technical Report OpenWebMath: An Open Dataset of High-Quality Mathematical Web Text
Reference 23
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INTELLECT-1 Technical Report The FineWeb Datasets: Decanting the Web for the Finest Text Data at Scale
Reference 24
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Observation 2af48f03-ed1c-4ae2-9cf7-466733ee94f8 · outbound
INTELLECT-1 Technical Report GPQA: A Graduate-Level Google-Proof Q&A Benchmark
Reference 25
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Observation 3b67e8ed-5c09-4195-8f03-bea6d4699be8 · outbound
INTELLECT-1 Technical Report Towards crowdsourced training of large neural networks using decentralized mixture-of-experts
Reference 26
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Observation 1024b99f-526d-4d9d-a3b8-f852da6cf834 · outbound
INTELLECT-1 Technical Report H ivemind: D ecentralized D eep L earning in P y T orch, April 2020
Reference 27
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Observation d3cd067d-6807-427c-a61e-e5a1da6e1bda · outbound
INTELLECT-1 Technical Report WinoGrande: An Adversarial Winograd Schema Challenge at Scale
Reference 28
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Observation 2ceed525-f7b6-4d11-97b5-280580caa53c · outbound
INTELLECT-1 Technical Report Unresolved cited work
Reference 29
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Observation 4e2ee037-24a5-499c-8b7d-106542d005ee · outbound
INTELLECT-1 Technical Report Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them
Reference 30
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Observation 363d1842-38a9-4004-9647-8c13b55b6c49 · outbound
INTELLECT-1 Technical Report Introducing mpt-7b: A new standard for open-source, commercially usable llms, 2023
Reference 31
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Observation 4ddc1069-3507-4116-972d-6c6c254b6c1f · outbound
INTELLECT-1 Technical Report Optimization of collective communication operations in mpich
Reference 32
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Observation 01a3b866-8dd3-49e0-8375-07000d047a1a · outbound
INTELLECT-1 Technical Report LLaMA: Open and Efficient Foundation Language Models
Reference 33
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Observation 22b20ed6-fada-404d-ad39-1b4fef084754 · outbound
INTELLECT-1 Technical Report Llama 2: Open Foundation and Fine-Tuned Chat Models
Reference 34
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Observation c41807a4-f241-4019-b65a-6495fde08ec4 · outbound
INTELLECT-1 Technical Report Baichuan 2: Open Large-scale Language Models
Reference 35
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Observation cb2fa389-7193-4478-b565-ac6e2432cf12 · outbound
INTELLECT-1 Technical Report HellaSwag: Can a Machine Really Finish Your Sentence?
Reference 36
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Observation 2cdc0a44-7b20-4474-9359-82c23df7e8c8 · outbound
INTELLECT-1 Technical Report PyTorch FSDP: Experiences on Scaling Fully Sharded Data Parallel
Reference 37
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Observation b05237ab-3d5e-4f48-a5c1-23885805df73 · outbound
INTELLECT-1 Technical Report Instruction-Following Evaluation for Large Language Models
Reference 38
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Observation e17e634f-83da-4f55-89f2-c76d3ae07215 · inbound
From Efficiency Gains to Rebound Effects: The Problem of Jevons' Paradox in AI's Polarized Environmental Debate INTELLECT-1 Technical Report
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Observation 5b58efab-50a0-4ed4-9dda-6b0bbddb1c07 · inbound
Streaming DiLoCo with overlapping communication: Towards a Distributed Free Lunch INTELLECT-1 Technical Report
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Observation faaed0ed-f10b-403d-8154-f9f5530ced33 · inbound
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Prime Collective Communications Library -- Technical Report INTELLECT-1 Technical Report
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Reference 19
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Observation 3374d221-5816-47ef-83dd-ecb16684645c · inbound
NoLoCo: No-all-reduce Low Communication Training Method for Large Models INTELLECT-1 Technical Report
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Observation 195eaabb-d4b2-442c-b067-97413a77223e · inbound
On the Surprising Effectiveness of a Single Global Merging in Decentralized Learning INTELLECT-1 Technical Report
Reference 39
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Observation 07a44ee0-e93c-4d4c-9d71-4a30b70a4ca8 · inbound
DICE: Data Influence Cascade in Decentralized Learning INTELLECT-1 Technical Report
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Distributed and Decentralised Training: Technical Governance Challenges in a Shifting AI Landscape INTELLECT-1 Technical Report
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Observation 6fd544a5-b38c-48c9-acec-fb8161a9432c · inbound
Compute Requirements for Algorithmic Innovation in Frontier AI Models INTELLECT-1 Technical Report
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Observation 63df926d-8e53-4189-88e7-22d9e4ffa8e5 · inbound
Overcoming the Communication-Performance Tradeoff in LLM Pretraining INTELLECT-1 Technical Report
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Observation e163af05-5ad3-4b11-9034-c2322da03950 · inbound
Overcoming the Communication-Performance Tradeoff in LLM Pretraining INTELLECT-1 Technical Report
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Observation 647c8c9a-07b9-4908-a2a5-e37755e586de · inbound
Revolutionizing Reinforcement Learning Framework for Diffusion Large Language Models INTELLECT-1 Technical Report
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Observation 34e76acd-4b2f-4c0b-a9d1-b1c781910ed1 · inbound
Local MixVR: Breaking the Communication-Sample Dependence in Distributed Learning INTELLECT-1 Technical Report
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Observation 985c4fc3-02a0-44e9-997a-8e30db86c681 · inbound
Beyond Fully Random Masking: Attention-Guided Denoising and Optimization for Diffusion Language Models INTELLECT-1 Technical Report
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Observation ab925268-e317-4233-a56e-ee827934545f · inbound
Decentralised AI Training and Inference with BlockTrain INTELLECT-1 Technical Report
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Observation 2d469e1d-4c0b-4743-8b6e-15df9c522b53 · inbound
Decentralised AI Training and Inference with BlockTrain INTELLECT-1 Technical Report
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Observation 037c166a-20dd-4130-a804-44adab04a24a · inbound
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Observation bf4ff253-9c99-413e-92ae-c7b20e10f294 · inbound
Can Model Merging Improve Aggregation in DiLoCo? INTELLECT-1 Technical Report
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Observation b32fbf9f-afa9-4c10-916d-278015236b0d · inbound
Layer-Parallel Inference Reduces Encrypted Nonlinear Depth in Transformers INTELLECT-1 Technical Report
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