Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T18:57:16.282903Z
Paper Citation Record · LEDGER
As of 7 August 2026, this Paper Citation Record lists 100 of 127 outbound references and 6 inbound Pith citation observations for arXiv:2507.07024.
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 2026-08-06T18:57:16.282903Z
One-hop event checks from named stored sources.
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Pith citing papers itemized under the disclosed page cap.
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A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T07:09:37.876775Z
100 of 127 outbound references displayed
External citation measurements
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FlexOlmo: Open Language Models for Flexible Data Use TOFU: A task of fictitious unlearning for LLMs
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FlexOlmo: Open Language Models for Flexible Data Use MUSE: Machine Unlearning Six-Way Evaluation for Language Models
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FlexOlmo: Open Language Models for Flexible Data Use Machine unlearning doesn’t do what you think: Lessons for generative ai policy, research, and practice
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FlexOlmo: Open Language Models for Flexible Data Use Federated learning: Strategies for improving communication efficiency
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FlexOlmo: Open Language Models for Flexible Data Use Communication-Efficient Learning of Deep Networks from Decentralized Data
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FlexOlmo: Open Language Models for Flexible Data Use Unresolved cited work
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FlexOlmo: Open Language Models for Flexible Data Use Trading off privacy, utility, and efficiency in federated learning
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FlexOlmo: Open Language Models for Flexible Data Use Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer
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FlexOlmo: Open Language Models for Flexible Data Use OLMoE: Open Mixture-of-Experts Language Models
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FlexOlmo: Open Language Models for Flexible Data Use A survey on model moerging: Recycling and routing among specialized experts for collaborative learning
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FlexOlmo: Open Language Models for Flexible Data Use Smith, and Luke Zettlemoyer
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FlexOlmo: Open Language Models for Flexible Data Use Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time
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Observation e9f8e98f-97a9-425d-8982-eb2ecf999108 · outbound
FlexOlmo: Open Language Models for Flexible Data Use Generative representational instruction tuning, 2024
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FlexOlmo: Open Language Models for Flexible Data Use Project aurora: the power of data, technology and collaboration to combat money laundering across institutions and borders
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FlexOlmo: Open Language Models for Flexible Data Use A survey on federated learning
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Observation f38b8335-4992-47a7-b7a2-f92600279eef · outbound
FlexOlmo: Open Language Models for Flexible Data Use Data sovereignty: A review
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Observation b74c13cd-f8e7-4941-aa45-26b919e7217e · outbound
FlexOlmo: Open Language Models for Flexible Data Use Databricks lakeguard: Supporting fine-grained access control and multi-user capabilities for apache spark workloads
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Observation f9183697-613d-46d7-8e8b-3cdee4fa806d · outbound
FlexOlmo: Open Language Models for Flexible Data Use Productivity assessment of neural code completion
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Observation 46559fda-6039-46ac-aa0d-5dac71d5a0e8 · outbound
FlexOlmo: Open Language Models for Flexible Data Use Foundation models and fair use
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Observation fe44346f-bd9f-4934-b6f2-78f9fab5360c · outbound
FlexOlmo: Open Language Models for Flexible Data Use Consent in crisis: The rapid decline of the ai data commons
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Observation ec1b4c4d-0a60-4992-84da-59841abfbc43 · outbound
FlexOlmo: Open Language Models for Flexible Data Use Art and the science of generative ai
Reference 21
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Observation 9c3e483c-8d41-4cfe-9a8c-2f7eed543c48 · outbound
FlexOlmo: Open Language Models for Flexible Data Use The Foundation Model Transparency Index
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Observation 68987597-79f1-4f7a-9522-8dc627eb6de0 · outbound
FlexOlmo: Open Language Models for Flexible Data Use Foundation models and copyright questions, 2023
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Observation b693ae60-5a76-42db-b593-b98f71e9999e · outbound
FlexOlmo: Open Language Models for Flexible Data Use Bollacker, Tongshuang Wu, Luis Villa, Sandy Pentland, and Sara Hooker
Reference 24
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FlexOlmo: Open Language Models for Flexible Data Use On the Opportunities and Risks of Foundation Models
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Observation 3784dd4a-7149-464b-b05b-c27380ae4555 · outbound
FlexOlmo: Open Language Models for Flexible Data Use The Data Provenance Initiative: A Large Scale Audit of Dataset Licensing & Attribution in AI
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Observation ca6d4a25-f4a5-4460-bc39-68961a683b8c · outbound
FlexOlmo: Open Language Models for Flexible Data Use Into the laion’s den: Investigating hate in multimodal datasets
Reference 27
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Observation 710423fa-84bb-4f32-9117-c6fedb0a018c · outbound
FlexOlmo: Open Language Models for Flexible Data Use Documenting large webtext corpora: A case study on the colossal clean crawled corpus
Reference 28
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Observation 3d1a70f1-756a-4855-bec0-47eaf0b907ff · outbound
FlexOlmo: Open Language Models for Flexible Data Use Detecting pretraining data from large language models
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Observation 27119090-553e-4f85-86bd-8d358a1721fa · outbound
FlexOlmo: Open Language Models for Flexible Data Use Advances and open problems in federated learning
Reference 30
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Observation 75cee398-dda2-4ad8-b734-50a4b12da0e4 · outbound
FlexOlmo: Open Language Models for Flexible Data Use Federated optimization in heterogeneous networks
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Observation 8e041c9d-a8c5-4ea5-b4b9-1bad507dc947 · outbound
FlexOlmo: Open Language Models for Flexible Data Use Fedlora: When personalized federated learning meets low-rank adaptation
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Observation 60bcd6bf-4ce2-4a82-984f-42304fd6a0ea · outbound
FlexOlmo: Open Language Models for Flexible Data Use Fedprompt: Communication-efficient and privacy-preserving prompt tuning in federated learning
Reference 33
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Observation 06c2223c-c500-4a90-97b3-d6caf9d3a629 · outbound
FlexOlmo: Open Language Models for Flexible Data Use Federated LoRA with Sparse Communication
Reference 34
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Observation 9ed0f6ec-2c48-40fd-85f3-f25b48db3183 · outbound
FlexOlmo: Open Language Models for Flexible Data Use Public-key cryptosystems based on composite degree residuosity classes
Reference 35
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Observation 0fbc3551-f31e-4c61-a730-f3d0a2bec8e5 · outbound
FlexOlmo: Open Language Models for Flexible Data Use The algorithmic foundations of differential privacy
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Observation 734e21f2-5f07-4256-8e66-65b3bf9ccb2b · outbound
FlexOlmo: Open Language Models for Flexible Data Use Attack of the tails: Yes, you really can backdoor federated learning
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Observation 8b5e43f1-9dd6-425d-8be4-37e57aaade74 · outbound
FlexOlmo: Open Language Models for Flexible Data Use Exploring adversarial attacks in federated learning for medical imaging
Reference 38
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Observation 2ae5cae0-fa08-43ce-95ef-32640f3f8917 · outbound
FlexOlmo: Open Language Models for Flexible Data Use Federated learning with buffered asynchronous aggregation
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FlexOlmo: Open Language Models for Flexible Data Use Building machine learning models like open source software
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Observation ed67f2d3-8b7d-432d-a889-b4c6927a2669 · outbound
FlexOlmo: Open Language Models for Flexible Data Use Heterogeneous swarms: Jointly optimizing model roles and weights for multi-llm systems, 2025
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FlexOlmo: Open Language Models for Flexible Data Use AdapterSoup: Weight Averaging to Improve Generalization of Pretrained Language Models
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FlexOlmo: Open Language Models for Flexible Data Use Collective Model Intelligence Requires Compatible Specialization
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FlexOlmo: Open Language Models for Flexible Data Use Model swarms: Collaborative search to adapt llm experts via swarm intelligence
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FlexOlmo: Open Language Models for Flexible Data Use Ties- merging: Resolving interference when merging models
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FlexOlmo: Open Language Models for Flexible Data Use Merging models with fisher-weighted averaging
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FlexOlmo: Open Language Models for Flexible Data Use Editing models with task arithmetic
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FlexOlmo: Open Language Models for Flexible Data Use Evolutionary Optimization of Model Merging Recipes
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FlexOlmo: Open Language Models for Flexible Data Use Adamerging: Adaptive model merging for multi-task learning
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FlexOlmo: Open Language Models for Flexible Data Use Smith, Hannaneh Hajishirzi, Pang Wei Koh, Jesse Dodge, and Pradeep Dasigi
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FlexOlmo: Open Language Models for Flexible Data Use When one llm drools, multi-llm collaboration rules, 2025
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FlexOlmo: Open Language Models for Flexible Data Use Branch-Train-Merge: Embarrassingly Parallel Training of Expert Language Models
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FlexOlmo: Open Language Models for Flexible Data Use Scaling Expert Language Models with Unsupervised Domain Discovery
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FlexOlmo: Open Language Models for Flexible Data Use Demix layers: Disentangling domains for modular language modeling
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FlexOlmo: Open Language Models for Flexible Data Use Branch-Train-MiX: Mixing Expert LLMs into a Mixture-of-Experts LLM
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FlexOlmo: Open Language Models for Flexible Data Use Scalable Multi-Domain Adaptation of Language Models using Modular Experts
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FlexOlmo: Open Language Models for Flexible Data Use BTS: Harmonizing Specialized Experts into a Generalist LLM
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FlexOlmo: Open Language Models for Flexible Data Use BAM! Just Like That: Simple and Efficient Parameter Upcycling for Mixture of Experts
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FlexOlmo: Open Language Models for Flexible Data Use ModuleFormer: Modularity Emerges from Mixture-of-Experts
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FlexOlmo: Open Language Models for Flexible Data Use Pushing Mixture of Experts to the Limit: Extremely Parameter Efficient MoE for Instruction Tuning
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FlexOlmo: Open Language Models for Flexible Data Use Sira: Sparse mixture of low rank adaptation, 2023
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FlexOlmo: Open Language Models for Flexible Data Use LoRAMoE: Alleviating world knowledge forgetting in large language models via MoE-style plugin
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FlexOlmo: Open Language Models for Flexible Data Use AdapterFusion: Non-Destructive Task Composition for Transfer Learning
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FlexOlmo: Open Language Models for Flexible Data Use Adapterswap: Continuous training of llms with data removal and access-control guarantees
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FlexOlmo: Open Language Models for Flexible Data Use Exact Unlearning of Finetuning Data via Model Merging at Scale
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FlexOlmo: Open Language Models for Flexible Data Use DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models
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FlexOlmo: Open Language Models for Flexible Data Use Generative representational instruction tuning
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FlexOlmo: Open Language Models for Flexible Data Use Nexus: Specialization meets Adaptability for Efficiently Training Mixture of Experts
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FlexOlmo: Open Language Models for Flexible Data Use LoraRetriever: Input-Aware LoRA Retrieval and Composition for Mixed Tasks in the Wild
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FlexOlmo: Open Language Models for Flexible Data Use Exploring the benefits of training expert language models over instruction tuning
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FlexOlmo: Open Language Models for Flexible Data Use Dam: Dynamic adapter merging for continual video qa learning
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FlexOlmo: Open Language Models for Flexible Data Use RouterRetriever: Routing over a Mixture of Expert Embedding Models
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FlexOlmo: Open Language Models for Flexible Data Use Token-level adaptation of lora adapters for downstream task generalization
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FlexOlmo: Open Language Models for Flexible Data Use Dimakis, Yair Carmon, Achal Dave, Ludwig Schmidt, and Vaishaal Shankar
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FlexOlmo: Open Language Models for Flexible Data Use Organize the web: Constructing domains enhances pre-training data curation, 2025
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FlexOlmo: Open Language Models for Flexible Data Use peS2o (Pretraining Efficiently on S2ORC) Dataset
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FlexOlmo: Open Language Models for Flexible Data Use S2ORC: The semantic scholar open research corpus
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FlexOlmo: Open Language Models for Flexible Data Use Peters, Abhilasha Ravichander, Kyle Richardson, Zejiang Shen, Emma Strubell, Nishant Subramani, Oyvind Tafjord, Pete Walsh, Luke Zettlemoyer, Noah A
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FlexOlmo: Open Language Models for Flexible Data Use Boolq: Exploring the surprising difficulty of natural yes/no questions, 2019
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FlexOlmo: Open Language Models for Flexible Data Use Khapra, Karthik Sankaranarayanan, and Sarath Chandar
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FlexOlmo: Open Language Models for Flexible Data Use Hellaswag: Can a machine really finish your sentence?, 2019
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FlexOlmo: Open Language Models for Flexible Data Use Can a suit of armor conduct electricity? a new dataset for open book question answering
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FlexOlmo: Open Language Models for Flexible Data Use Piqa: Reasoning about physical commonsense in natural language, 2019
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FlexOlmo: Open Language Models for Flexible Data Use Socialiqa: Commonsense reasoning about social interactions, 2019
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