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Paper Citation Record · LEDGER

FlexOlmo: Open Language Models for Flexible Data Use

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.

pith.paper-citation-record.v1
2507.07024 v4

Coverage vector

measured 100 of 127 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:57:16.282903Z

measured 106 of 106 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T06:00:20.620762Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-04T07:09:37.876775Z

Reference resolution

100 of 127 outbound references displayed

  • verified exact3
  • verified fuzzy11
  • unresolved86
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c86a462e-1373-4868-acc1-952b09463893 · outbound

This paper cites TOFU: A task of fictitious unlearning for LLMs.

FlexOlmo: Open Language Models for Flexible Data Use TOFU: A task of fictitious unlearning for LLMs

Reference 1

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source=pdf_text observed=2026-08-06T18:57:15.808933Z digest=sha256:b9ca0610fccb4879913f1ca2230f8e37d46e1ad0d10c40bebd37f00e342d40c1

Observation 2cd7d9ee-e5a3-4973-b8a2-4d72d9ec25b7 · outbound

This paper cites MUSE: Machine Unlearning Six-Way Evaluation for Language Models.

FlexOlmo: Open Language Models for Flexible Data Use MUSE: Machine Unlearning Six-Way Evaluation for Language Models

Reference 2

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source=pdf_text observed=2026-08-06T18:57:15.814983Z digest=sha256:0e67c6b913158e2b292b36a045fd866d1ba1c85da00faa4719f67b6c50db3985

Observation af53f8da-baea-4728-8911-c5a62174abaa · outbound

This paper cites Machine unlearning doesn’t do what you think: Lessons for generative ai policy, research, and practice.

FlexOlmo: Open Language Models for Flexible Data Use Machine unlearning doesn’t do what you think: Lessons for generative ai policy, research, and practice

Reference 3

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source=pdf_text observed=2026-08-06T18:57:15.819963Z digest=sha256:06b235fa73154215dd299eceb27fe3204348658e0ada8d3b7eaefa5abb2d7bef

Observation 3df381ad-4df5-48a4-9a13-bb8b75bd7923 · outbound

This paper cites Federated learning: Strategies for improving communication efficiency.

FlexOlmo: Open Language Models for Flexible Data Use Federated learning: Strategies for improving communication efficiency

Reference 4

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source=pdf_text observed=2026-08-06T18:57:15.824763Z digest=sha256:e598bef2e90c39376e881d7d2328e5489a698578643148431b3e357a37d47139

Observation a9e380b4-2c9b-44d4-8912-5be40daf6ec5 · outbound

This paper cites Communication-Efficient Learning of Deep Networks from Decentralized Data.

FlexOlmo: Open Language Models for Flexible Data Use Communication-Efficient Learning of Deep Networks from Decentralized Data

Reference 5

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source=pdf_text observed=2026-08-06T18:57:15.829402Z digest=sha256:52f191fa5b90d2b50853e8816346d86b2138209805788623fee17a3484947a76

Observation 45615158-fa07-407d-9f01-fe4c1e1a2964 · outbound

This paper cites an unresolved cited work.

FlexOlmo: Open Language Models for Flexible Data Use Unresolved cited work

Reference 6

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source=pdf_text observed=2026-08-06T18:57:15.833880Z digest=sha256:6d4688c96fc7dc69d90e630f1d4faa24a4fd289d0457bde462806d42124233e7

Observation 54735525-1e3a-4acb-ad99-36caff9e20d7 · outbound

This paper cites Trading off privacy, utility, and efficiency in federated learning.

FlexOlmo: Open Language Models for Flexible Data Use Trading off privacy, utility, and efficiency in federated learning

Reference 7

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source=pdf_text observed=2026-08-06T18:57:15.839260Z digest=sha256:156490d5e6616c7d63f159ec2b0e02a74bd3a26db55acff39eaab44567510acd

Observation c8ba7b45-edf8-444f-988c-076cbb322624 · outbound

This paper cites Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer.

FlexOlmo: Open Language Models for Flexible Data Use Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer

Reference 8

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source=pdf_text observed=2026-08-06T18:57:15.843953Z digest=sha256:c89abdfa209932aa7a3aa56951b90579f2587741e9247d32e9ea04fa7a889650

Observation 68724a0b-646c-4cc4-a3cc-258b38db13a0 · outbound

This paper cites OLMoE: Open Mixture-of-Experts Language Models.

FlexOlmo: Open Language Models for Flexible Data Use OLMoE: Open Mixture-of-Experts Language Models

Reference 9

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source=pdf_text observed=2026-08-06T18:57:15.848736Z digest=sha256:82cc810948240868ede67cc52976997779077cf3d1c4e62d73df4999fde80857

Observation b8df8886-9c53-4e3a-b1d4-e25b759741a0 · outbound

This paper cites A survey on model moerging: Recycling and routing among specialized experts for collaborative learning.

FlexOlmo: Open Language Models for Flexible Data Use A survey on model moerging: Recycling and routing among specialized experts for collaborative learning

Reference 10

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Observation 4cc8ba64-0900-41e3-b8a6-e96785120c9c · outbound

This paper cites Smith, and Luke Zettlemoyer.

FlexOlmo: Open Language Models for Flexible Data Use Smith, and Luke Zettlemoyer

Reference 11

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Observation 39b48e82-707c-4113-9994-ec16dd9ddd69 · outbound

This paper cites Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time.

FlexOlmo: Open Language Models for Flexible Data Use Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time

Reference 12

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source=pdf_text observed=2026-08-06T18:57:15.862358Z digest=sha256:df983f2648838e29af3bce7df0c073ba9fa000063e45e6b1f05d2636d4d05d47

Observation e9f8e98f-97a9-425d-8982-eb2ecf999108 · outbound

This paper cites Generative representational instruction tuning, 2024.

FlexOlmo: Open Language Models for Flexible Data Use Generative representational instruction tuning, 2024

Reference 13

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source=pdf_text observed=2026-08-06T18:57:15.866407Z digest=sha256:3264eea44ba492b9a68ba357d9d3f5525e0a0c01cb9f65ca55f9519256210a65

Observation c6f7417d-4347-47ac-8395-ccaa5045ec61 · outbound

This paper cites Project aurora: the power of data, technology and collaboration to combat money laundering across institutions and borders.

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

Reference 14

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Observation ab75434f-7890-4757-ad76-4cfce3703c1d · outbound

This paper cites A survey on federated learning.

FlexOlmo: Open Language Models for Flexible Data Use A survey on federated learning

Reference 15

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source=pdf_text observed=2026-08-06T18:57:15.875546Z digest=sha256:36060d7a5c01c8b4421fd7798347156d1e4ad48b87f2affa8c88d91ca602f5b1

Observation f38b8335-4992-47a7-b7a2-f92600279eef · outbound

This paper cites Data sovereignty: A review.

FlexOlmo: Open Language Models for Flexible Data Use Data sovereignty: A review

Reference 16

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source=pdf_text observed=2026-08-06T18:57:15.880323Z digest=sha256:75d9ac0976d234e538b15d7b470c0bcb81da30621239ec8e13f2549d39e918ae

Observation b74c13cd-f8e7-4941-aa45-26b919e7217e · outbound

This paper cites Databricks lakeguard: Supporting fine-grained access control and multi-user capabilities for apache spark workloads.

FlexOlmo: Open Language Models for Flexible Data Use Databricks lakeguard: Supporting fine-grained access control and multi-user capabilities for apache spark workloads

Reference 17

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source=pdf_text observed=2026-08-06T18:57:15.885422Z digest=sha256:efadbf8fa84f7ee8e382370dc4c38a043c8eb540b670071d874fd2e331d4ce6a

Observation f9183697-613d-46d7-8e8b-3cdee4fa806d · outbound

This paper cites Productivity assessment of neural code completion.

FlexOlmo: Open Language Models for Flexible Data Use Productivity assessment of neural code completion

Reference 18

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source=pdf_text observed=2026-08-06T18:57:15.889810Z digest=sha256:418f15ca4954e401b4822b454381dddea0f291aa3e702a686a499f67a474dd06

Observation 46559fda-6039-46ac-aa0d-5dac71d5a0e8 · outbound

This paper cites Foundation models and fair use.

FlexOlmo: Open Language Models for Flexible Data Use Foundation models and fair use

Reference 19

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Observation fe44346f-bd9f-4934-b6f2-78f9fab5360c · outbound

This paper cites Consent in crisis: The rapid decline of the ai data commons.

FlexOlmo: Open Language Models for Flexible Data Use Consent in crisis: The rapid decline of the ai data commons

Reference 20

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Observation ec1b4c4d-0a60-4992-84da-59841abfbc43 · outbound

This paper cites Art and the science of generative ai.

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

This paper cites The Foundation Model Transparency Index.

FlexOlmo: Open Language Models for Flexible Data Use The Foundation Model Transparency Index

Reference 22

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source=pdf_text observed=2026-08-06T18:57:15.908918Z digest=sha256:cd25a208ac02423a1e468d042f9535a50aff658e0664f05113643d0e80402b07

Observation 68987597-79f1-4f7a-9522-8dc627eb6de0 · outbound

This paper cites Foundation models and copyright questions, 2023.

FlexOlmo: Open Language Models for Flexible Data Use Foundation models and copyright questions, 2023

Reference 23

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source=pdf_text observed=2026-08-06T18:57:15.913864Z digest=sha256:a461a4dc06402d87330f1ace4341fcb699ab3fa9e8d2dd14b0e93ee284693d58

Observation b693ae60-5a76-42db-b593-b98f71e9999e · outbound

This paper cites Bollacker, Tongshuang Wu, Luis Villa, Sandy Pentland, and Sara Hooker.

FlexOlmo: Open Language Models for Flexible Data Use Bollacker, Tongshuang Wu, Luis Villa, Sandy Pentland, and Sara Hooker

Reference 24

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source=pdf_text observed=2026-08-06T18:57:15.918325Z digest=sha256:eb185d96c153057b175532f00b9c31eed2f9b6ac218d5028e4729f01695b7645

Observation c2236e59-18b8-4e45-bb00-9c781e78991c · outbound

This paper cites On the Opportunities and Risks of Foundation Models.

FlexOlmo: Open Language Models for Flexible Data Use On the Opportunities and Risks of Foundation Models

Reference 25

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Observation 3784dd4a-7149-464b-b05b-c27380ae4555 · outbound

This paper cites The Data Provenance Initiative: A Large Scale Audit of Dataset Licensing & Attribution in AI.

FlexOlmo: Open Language Models for Flexible Data Use The Data Provenance Initiative: A Large Scale Audit of Dataset Licensing & Attribution in AI

Reference 26

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Observation ca6d4a25-f4a5-4460-bc39-68961a683b8c · outbound

This paper cites Into the laion’s den: Investigating hate in multimodal datasets.

FlexOlmo: Open Language Models for Flexible Data Use Into the laion’s den: Investigating hate in multimodal datasets

Reference 27

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source=pdf_text observed=2026-08-06T18:57:15.933502Z digest=sha256:6c51dea6f5cdb86c3e43c0bf2cdb6c169b6fbe93ecfae0b577a7eadf63348563

Observation 710423fa-84bb-4f32-9117-c6fedb0a018c · outbound

This paper cites Documenting large webtext corpora: A case study on the colossal clean crawled corpus.

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

This paper cites Detecting pretraining data from large language models.

FlexOlmo: Open Language Models for Flexible Data Use Detecting pretraining data from large language models

Reference 29

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source=pdf_text observed=2026-08-06T18:57:15.943049Z digest=sha256:326b4f0393c42c03a114beb913cb2c23d6be1d7a42f9874fb15b3883669a10af

Observation 27119090-553e-4f85-86bd-8d358a1721fa · outbound

This paper cites Advances and open problems in federated learning.

FlexOlmo: Open Language Models for Flexible Data Use Advances and open problems in federated learning

Reference 30

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source=pdf_text observed=2026-08-06T18:57:15.947561Z digest=sha256:d7fcbbd6fd64d95e937e586cd7707c72a0e527052f93a0e166fa5dbfd2e6b462

Observation 75cee398-dda2-4ad8-b734-50a4b12da0e4 · outbound

This paper cites Federated optimization in heterogeneous networks.

FlexOlmo: Open Language Models for Flexible Data Use Federated optimization in heterogeneous networks

Reference 31

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source=pdf_text observed=2026-08-06T18:57:15.952496Z digest=sha256:252be888ce8a71a378f9bb2d4ce862277c0ec09db7b25039d29e27700eaf86dc

Observation 8e041c9d-a8c5-4ea5-b4b9-1bad507dc947 · outbound

This paper cites Fedlora: When personalized federated learning meets low-rank adaptation.

FlexOlmo: Open Language Models for Flexible Data Use Fedlora: When personalized federated learning meets low-rank adaptation

Reference 32

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source=pdf_text observed=2026-08-06T18:57:15.956850Z digest=sha256:3338411aa9ff47e92882959473272bfb464922daca15b1a75aadccd8fb84d538

Observation 60bcd6bf-4ce2-4a82-984f-42304fd6a0ea · outbound

This paper cites Fedprompt: Communication-efficient and privacy-preserving prompt tuning in federated learning.

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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source=pdf_text observed=2026-08-06T18:57:15.962094Z digest=sha256:8fbe76cb12bb577695cd831fd80bced1b498c8eabf1a5592dc36f8e2efb85be4

Observation 06c2223c-c500-4a90-97b3-d6caf9d3a629 · outbound

This paper cites Federated LoRA with Sparse Communication.

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

This paper cites Public-key cryptosystems based on composite degree residuosity classes.

FlexOlmo: Open Language Models for Flexible Data Use Public-key cryptosystems based on composite degree residuosity classes

Reference 35

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source=pdf_text observed=2026-08-06T18:57:15.971856Z digest=sha256:6e892e48a1244cfa0874c1204fe8a8f9399c247fbba1df4da41af959b13f77eb

Observation 0fbc3551-f31e-4c61-a730-f3d0a2bec8e5 · outbound

This paper cites The algorithmic foundations of differential privacy.

FlexOlmo: Open Language Models for Flexible Data Use The algorithmic foundations of differential privacy

Reference 36

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source=pdf_text observed=2026-08-06T18:57:15.976541Z digest=sha256:6840e4a282fd368ee12d20beffd43868268565f2f81330e3f2523d53eb83d8fe

Observation 734e21f2-5f07-4256-8e66-65b3bf9ccb2b · outbound

This paper cites Attack of the tails: Yes, you really can backdoor federated learning.

FlexOlmo: Open Language Models for Flexible Data Use Attack of the tails: Yes, you really can backdoor federated learning

Reference 37

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source=pdf_text observed=2026-08-06T18:57:15.981294Z digest=sha256:aa1af58f0d836e9f07ad4524078173d13fd7e236eec0e2623bc787cb4f908c8d

Observation 8b5e43f1-9dd6-425d-8be4-37e57aaade74 · outbound

This paper cites Exploring adversarial attacks in federated learning for medical imaging.

FlexOlmo: Open Language Models for Flexible Data Use Exploring adversarial attacks in federated learning for medical imaging

Reference 38

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source=pdf_text observed=2026-08-06T18:57:15.985714Z digest=sha256:2bdf1e27e5fdf86987c453a886010931cb5397ebc469187283a9cc44bda733dc

Observation 2ae5cae0-fa08-43ce-95ef-32640f3f8917 · outbound

This paper cites Federated learning with buffered asynchronous aggregation.

FlexOlmo: Open Language Models for Flexible Data Use Federated learning with buffered asynchronous aggregation

Reference 39

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Observation 1bd94728-e085-4105-a8ab-32d06ec9a516 · outbound

This paper cites Building machine learning models like open source software.

FlexOlmo: Open Language Models for Flexible Data Use Building machine learning models like open source software

Reference 40

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source=pdf_text observed=2026-08-06T18:57:15.995248Z digest=sha256:4fda5cd0393a6ac945ee902f9c83e1ee0b63df23444b2df6ab02613141cf3690

Observation ed67f2d3-8b7d-432d-a889-b4c6927a2669 · outbound

This paper cites Heterogeneous swarms: Jointly optimizing model roles and weights for multi-llm systems, 2025.

FlexOlmo: Open Language Models for Flexible Data Use Heterogeneous swarms: Jointly optimizing model roles and weights for multi-llm systems, 2025

Reference 41

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Observation c6f511af-e303-474e-abc6-8ae8dbe74248 · outbound

This paper cites AdapterSoup: Weight Averaging to Improve Generalization of Pretrained Language Models.

FlexOlmo: Open Language Models for Flexible Data Use AdapterSoup: Weight Averaging to Improve Generalization of Pretrained Language Models

Reference 42

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source=pdf_text observed=2026-08-06T18:57:16.005446Z digest=sha256:7bc5b5f7057ff3ed8c2783ecf5dcbe7655f4cae131ab488c44a5308f3592dfdd

Observation dd715069-4a87-48d2-bcbe-bc21db614e23 · outbound

This paper cites Collective Model Intelligence Requires Compatible Specialization.

FlexOlmo: Open Language Models for Flexible Data Use Collective Model Intelligence Requires Compatible Specialization

Reference 43

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source=pdf_text observed=2026-08-06T18:57:16.010441Z digest=sha256:4aed2636137f15062c87a389f1ec057abf1807b613cc5342c33debb716b28639

Observation a41a6eac-3be4-47bb-91cd-6021097ad929 · outbound

This paper cites Model swarms: Collaborative search to adapt llm experts via swarm intelligence.

FlexOlmo: Open Language Models for Flexible Data Use Model swarms: Collaborative search to adapt llm experts via swarm intelligence

Reference 44

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source=pdf_text observed=2026-08-06T18:57:16.015342Z digest=sha256:a7f41abe72dacd70530d18e8c6db19ca273288fdd07c2a51ece0f22c0e5e8f64

Observation cfd0656a-9c1c-41a6-bc22-677ad3d2079d · outbound

This paper cites Ties- merging: Resolving interference when merging models.

FlexOlmo: Open Language Models for Flexible Data Use Ties- merging: Resolving interference when merging models

Reference 45

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source=pdf_text observed=2026-08-06T18:57:16.019611Z digest=sha256:14946bd810858a796b205ba3e45dcd1002185b3fe9af646bcde516b12c23cd12

Observation a6432dfd-569b-4d2a-8596-79538f3846ff · outbound

This paper cites Merging models with fisher-weighted averaging.

FlexOlmo: Open Language Models for Flexible Data Use Merging models with fisher-weighted averaging

Reference 46

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source=pdf_text observed=2026-08-06T18:57:16.023668Z digest=sha256:a99349c1a7ba133c32c570469afebcd9b691af55beb1364ada9c525470a75e43

Observation 5cc0ec0a-330c-42d0-89c9-80267c2bad14 · outbound

This paper cites Editing models with task arithmetic.

FlexOlmo: Open Language Models for Flexible Data Use Editing models with task arithmetic

Reference 47

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source=pdf_text observed=2026-08-06T18:57:16.028101Z digest=sha256:69aab57fa6b59d9998db194139dd3d4ced65487811c7744c9917d40958b687a4

Observation a990592b-822f-452a-a2ef-97ebe0364fc1 · outbound

This paper cites Evolutionary Optimization of Model Merging Recipes.

FlexOlmo: Open Language Models for Flexible Data Use Evolutionary Optimization of Model Merging Recipes

Reference 48

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source=pdf_text observed=2026-08-06T18:57:16.032761Z digest=sha256:804227ae016827398f9a669974c56d805dd1cf8f8461d1a27d5576ebc274b09b

Observation eb4f42b2-042d-4e04-8155-f04dca38e62d · outbound

This paper cites Adamerging: Adaptive model merging for multi-task learning.

FlexOlmo: Open Language Models for Flexible Data Use Adamerging: Adaptive model merging for multi-task learning

Reference 49

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source=pdf_text observed=2026-08-06T18:57:16.037218Z digest=sha256:5e2b3ff3d43e754ed7c0f1d72f4b5ace04f9ca92bfebebdd53900eabfa9022c6

Observation 855afa9b-2c1e-4acd-a09c-fec4e0f67188 · outbound

This paper cites Smith, Hannaneh Hajishirzi, Pang Wei Koh, Jesse Dodge, and Pradeep Dasigi.

FlexOlmo: Open Language Models for Flexible Data Use Smith, Hannaneh Hajishirzi, Pang Wei Koh, Jesse Dodge, and Pradeep Dasigi

Reference 50

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source=pdf_text observed=2026-08-06T18:57:16.042218Z digest=sha256:c9280bbbbd27095b21ef83fcb33eb610949e147da35ffab2425458e167bc2d16

Observation 6326add7-380b-4201-9f15-3fd0bd6036f7 · outbound

This paper cites When one llm drools, multi-llm collaboration rules, 2025.

FlexOlmo: Open Language Models for Flexible Data Use When one llm drools, multi-llm collaboration rules, 2025

Reference 51

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source=pdf_text observed=2026-08-06T18:57:16.046565Z digest=sha256:ad7031c99e7da93bef68b2ab0493d085bdd516dcaac141b2af50bd30c0c39d76

Observation c829d2a0-d80c-476b-b417-ce674ea619e4 · outbound

This paper cites Branch-Train-Merge: Embarrassingly Parallel Training of Expert Language Models.

FlexOlmo: Open Language Models for Flexible Data Use Branch-Train-Merge: Embarrassingly Parallel Training of Expert Language Models

Reference 52

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source=pdf_text observed=2026-08-06T18:57:16.051548Z digest=sha256:22e1e8016b61adc338dd75a2c4bd4883504e481eb2314da692384be22351a6b0

Observation 4ae30110-bb3e-4e18-a4d6-5bbae9eb14ae · outbound

This paper cites Scaling Expert Language Models with Unsupervised Domain Discovery.

FlexOlmo: Open Language Models for Flexible Data Use Scaling Expert Language Models with Unsupervised Domain Discovery

Reference 53

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source=pdf_text observed=2026-08-06T18:57:16.056141Z digest=sha256:3d54092d61737f8385a01a8f3e64b61d3763023d5da6d7534f17b2861a2c09d2

Observation 325ccc11-d008-4652-99e6-d9b1800bcd8b · outbound

This paper cites Demix layers: Disentangling domains for modular language modeling.

FlexOlmo: Open Language Models for Flexible Data Use Demix layers: Disentangling domains for modular language modeling

Reference 54

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source=pdf_text observed=2026-08-06T18:57:16.060808Z digest=sha256:98980893f92f024fa64d68e814e494334995ec31c0a1b2b6ed2d8e0f8a8c56a9

Observation 1f72bf8c-0502-4caa-8812-6b914dc793e9 · outbound

This paper cites Branch-Train-MiX: Mixing Expert LLMs into a Mixture-of-Experts LLM.

FlexOlmo: Open Language Models for Flexible Data Use Branch-Train-MiX: Mixing Expert LLMs into a Mixture-of-Experts LLM

Reference 55

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source=pdf_text observed=2026-08-06T18:57:16.065386Z digest=sha256:ff38906c535876f9d8c6b281243dd3996b60dd126ca96f8641297b463932b5f3

Observation 934d928c-705e-4958-ace5-9dcb40230833 · outbound

This paper cites Scalable Multi-Domain Adaptation of Language Models using Modular Experts.

FlexOlmo: Open Language Models for Flexible Data Use Scalable Multi-Domain Adaptation of Language Models using Modular Experts

Reference 56

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source=pdf_text observed=2026-08-06T18:57:16.070168Z digest=sha256:957555aed7b7d30f89bd367cb9f1b524fbc0cebc03f6dc8c3ff09408d9b317b7

Observation 5dab02fd-d9b4-4086-bc34-cd3ea123042b · outbound

This paper cites BTS: Harmonizing Specialized Experts into a Generalist LLM.

FlexOlmo: Open Language Models for Flexible Data Use BTS: Harmonizing Specialized Experts into a Generalist LLM

Reference 57

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source=pdf_text observed=2026-08-06T18:57:16.074667Z digest=sha256:b09bc2dc034aa4248be28dd1bfc74468a5273c186adce49a25cb3b0586af6014

Observation 88b8dcd4-a095-4c14-b691-db7a1d140f49 · outbound

This paper cites BAM! Just Like That: Simple and Efficient Parameter Upcycling for Mixture of Experts.

FlexOlmo: Open Language Models for Flexible Data Use BAM! Just Like That: Simple and Efficient Parameter Upcycling for Mixture of Experts

Reference 58

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source=pdf_text observed=2026-08-06T18:57:16.080743Z digest=sha256:f3d7d38af2bb29c6e27300fef63b497e9d73a03f9032e6d2174d22f8b5d1c353

Observation ba79a9c0-a4f3-48f9-b810-b855d0c6da80 · outbound

This paper cites ModuleFormer: Modularity Emerges from Mixture-of-Experts.

FlexOlmo: Open Language Models for Flexible Data Use ModuleFormer: Modularity Emerges from Mixture-of-Experts

Reference 59

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source=pdf_text observed=2026-08-06T18:57:16.086356Z digest=sha256:00a985f07609bca6cc7e5627e296d8c1407740496dc62e209fcacb1054cd1826

Observation 4b8a0bf2-5a07-4d1e-85ee-a0d3dafc1bd1 · outbound

This paper cites Pushing Mixture of Experts to the Limit: Extremely Parameter Efficient MoE for Instruction Tuning.

FlexOlmo: Open Language Models for Flexible Data Use Pushing Mixture of Experts to the Limit: Extremely Parameter Efficient MoE for Instruction Tuning

Reference 60

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source=pdf_text observed=2026-08-06T18:57:16.092024Z digest=sha256:912a98aa89b1063dc794a20cc7adce461cebbe2e01bf08e880318b36a63ca7bc

Observation 47a54a46-4fa1-4a6e-af03-1c0b7f20cdbe · outbound

This paper cites Sira: Sparse mixture of low rank adaptation, 2023.

FlexOlmo: Open Language Models for Flexible Data Use Sira: Sparse mixture of low rank adaptation, 2023

Reference 61

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source=pdf_text observed=2026-08-06T18:57:16.096679Z digest=sha256:79f73bf99e00df4117d6854efe819808c14629b4aa4e5790d2abd4a598bbb8b2

Observation fbc764ae-a28a-4834-a3dc-8d4da77998c3 · outbound

This paper cites LoRAMoE: Alleviating world knowledge forgetting in large language models via MoE-style plugin.

FlexOlmo: Open Language Models for Flexible Data Use LoRAMoE: Alleviating world knowledge forgetting in large language models via MoE-style plugin

Reference 62

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source=pdf_text observed=2026-08-06T18:57:16.101950Z digest=sha256:31d8fad95a8fb167314f8e04c82af793fc9a7990a975c7bb8ab2abce9b5b4b77

Observation d7f80228-70e5-48c7-bdbc-682ccc256818 · outbound

This paper cites AdapterFusion: Non-Destructive Task Composition for Transfer Learning.

FlexOlmo: Open Language Models for Flexible Data Use AdapterFusion: Non-Destructive Task Composition for Transfer Learning

Reference 63

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source=pdf_text observed=2026-08-06T18:57:16.106369Z digest=sha256:9829bb68e3ab1d6f8c48d4b5463cfa84217864c53821483c0154bb6c5471d2bd

Observation c19ed60f-6a64-41f6-b776-9059814a93b3 · outbound

This paper cites Adapterswap: Continuous training of llms with data removal and access-control guarantees.

FlexOlmo: Open Language Models for Flexible Data Use Adapterswap: Continuous training of llms with data removal and access-control guarantees

Reference 64

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source=pdf_text observed=2026-08-06T18:57:16.111207Z digest=sha256:d977a3e9d922d5a7ccd1f0dc879e728026ffa1f3431ea71f7cfeabfa23f1eeaf

Observation 2e176983-d68d-49af-9236-f19fa08698fe · outbound

This paper cites Exact Unlearning of Finetuning Data via Model Merging at Scale.

FlexOlmo: Open Language Models for Flexible Data Use Exact Unlearning of Finetuning Data via Model Merging at Scale

Reference 65

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source=pdf_text observed=2026-08-06T18:57:16.116107Z digest=sha256:72be24a887fd43c84d49a2318ff83df1ce86ed1f1af7fd280afd75962e592587

Observation 82ab8a13-95b5-489c-b99e-d59cb3adf5bf · outbound

This paper cites DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models.

FlexOlmo: Open Language Models for Flexible Data Use DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models

Reference 66

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source=pdf_text observed=2026-08-06T18:57:16.121537Z digest=sha256:4d3d8d3d7f0b925548e9f11891f30b2cfd9a9fd67e72cd43208a974bcb1b6a7c

Observation 5863548e-a1f7-4c8f-a0aa-47c586ac4919 · outbound

This paper cites Generative representational instruction tuning.

FlexOlmo: Open Language Models for Flexible Data Use Generative representational instruction tuning

Reference 67

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source=pdf_text observed=2026-08-06T18:57:16.127092Z digest=sha256:e04bf0eade114ce72dc5323ad5082a3dd15c4ac904e3d8dd91dfea523f4351e8

Observation 9e66209c-d765-416d-a835-2ff375dbfc7d · outbound

This paper cites Nexus: Specialization meets Adaptability for Efficiently Training Mixture of Experts.

FlexOlmo: Open Language Models for Flexible Data Use Nexus: Specialization meets Adaptability for Efficiently Training Mixture of Experts

Reference 68

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:57:16.131812Z digest=sha256:066ebf44e433f3574c3e03b25d85b31de0a8aadfe1c7fd9123276a396bb97247

Observation 7845fb16-0f89-4506-9bd8-c91903fa7481 · outbound

This paper cites LoraRetriever: Input-Aware LoRA Retrieval and Composition for Mixed Tasks in the Wild.

FlexOlmo: Open Language Models for Flexible Data Use LoraRetriever: Input-Aware LoRA Retrieval and Composition for Mixed Tasks in the Wild

Reference 69

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source=pdf_text observed=2026-08-06T18:57:16.136724Z digest=sha256:3d60482526bb07917ae5ad201a780e65e1088a9d182dc19e732184fe77cc7c1a

Observation 8badbb95-6c66-4fdd-9237-02f60556346d · outbound

This paper cites Exploring the benefits of training expert language models over instruction tuning.

FlexOlmo: Open Language Models for Flexible Data Use Exploring the benefits of training expert language models over instruction tuning

Reference 70

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source=pdf_text observed=2026-08-06T18:57:16.141537Z digest=sha256:baa4a36aedabf99e7d045805afb3dc3d979e501f273f167e741b7ae02fe8d8a6

Observation a539e8ff-e8a5-436f-9939-07d4befc2e52 · outbound

This paper cites Dam: Dynamic adapter merging for continual video qa learning.

FlexOlmo: Open Language Models for Flexible Data Use Dam: Dynamic adapter merging for continual video qa learning

Reference 71

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source=pdf_text observed=2026-08-06T18:57:16.146824Z digest=sha256:3ae82b11a12a475d14d477cfe78be5269bb98010ca8715e562b7eca5985078e6

Observation dbb4897e-9550-4b0e-a42c-bdb087fec11e · outbound

This paper cites RouterRetriever: Routing over a Mixture of Expert Embedding Models.

FlexOlmo: Open Language Models for Flexible Data Use RouterRetriever: Routing over a Mixture of Expert Embedding Models

Reference 72

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source=pdf_text observed=2026-08-06T18:57:16.151721Z digest=sha256:9e58e586ee870ddfe4e1f5d974a709b77a7a9572b9e7b26bc6deb7b0a4fa90b8

Observation 36dd8a40-9b87-4763-82bd-5bc7f38d7b90 · outbound

This paper cites Token-level adaptation of lora adapters for downstream task generalization.

FlexOlmo: Open Language Models for Flexible Data Use Token-level adaptation of lora adapters for downstream task generalization

Reference 73

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:57:16.156601Z digest=sha256:a4301dc1cb75754eb6e3d6659b5f59e08d6befbb0fed77ee5668d058cb21708b

Observation ecead613-571f-4c05-bd8b-9f505b81a8b2 · outbound

This paper cites Dimakis, Yair Carmon, Achal Dave, Ludwig Schmidt, and Vaishaal Shankar.

FlexOlmo: Open Language Models for Flexible Data Use Dimakis, Yair Carmon, Achal Dave, Ludwig Schmidt, and Vaishaal Shankar

Reference 74

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raw_fallback, observed 2026-08-06T18:57:17.602284Z

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source=pdf_text observed=2026-08-06T18:57:16.161428Z digest=sha256:5d18e6647e0f4718cd26224c6f31522f206d14d82bef6e86cb8e5a9c03ece9fe

Observation f1ba7c65-b25f-4e46-aa32-72fcd7d405e3 · outbound

This paper cites Organize the web: Constructing domains enhances pre-training data curation, 2025.

FlexOlmo: Open Language Models for Flexible Data Use Organize the web: Constructing domains enhances pre-training data curation, 2025

Reference 75

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source=pdf_text observed=2026-08-06T18:57:16.166403Z digest=sha256:430ceb774334d1ca84ff6b14404bd3c6e609ede89cf69ed2594ed34b2da58cb8

Observation b93b96d2-2c79-4cfd-9afa-0e8303e27559 · outbound

This paper cites Starcoder: may the source be with you!, 2023.

FlexOlmo: Open Language Models for Flexible Data Use Starcoder: may the source be with you!, 2023

Reference 76

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source=pdf_text observed=2026-08-06T18:57:16.170963Z digest=sha256:5e7bf10e30e669226c148596e78d57d1c33815cab0ce4ee4abd70382f89f9d25

Observation 0ecf642d-7b6e-4635-ac9a-ff5d6fb13039 · outbound

This paper cites The stack: 3 tb of permissively licensed source code, 2022.

FlexOlmo: Open Language Models for Flexible Data Use The stack: 3 tb of permissively licensed source code, 2022

Reference 77

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source=pdf_text observed=2026-08-06T18:57:16.176462Z digest=sha256:70b63257ffacad51bff47f28ea62f70726a61a70062a2bea1e58674b5a32fc31

Observation 6077f766-9dd3-474f-817b-8c66dbb842eb · outbound

This paper cites an unresolved cited work.

FlexOlmo: Open Language Models for Flexible Data Use Unresolved cited work

Reference 78

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:57:16.180955Z digest=sha256:69b8635fb5e233ca3953677c6c3d616e39f467fdb19ef475c9d79106ed518a73

Observation ed698fcd-84eb-43e6-85c7-c66dbb3c764d · outbound

This paper cites olmocr: Unlocking trillions of tokens in pdfs with vision language models, 2025.

FlexOlmo: Open Language Models for Flexible Data Use olmocr: Unlocking trillions of tokens in pdfs with vision language models, 2025

Reference 79

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verified fuzzy
raw_fallback, observed 2026-08-06T18:57:17.538832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:57:16.186515Z digest=sha256:b509c2a92078a0587c248808d3b88aabc699eb0bc277e0f3b77c0f3d8df6b81c

Observation d4cdada1-6fc4-4408-93d5-29308965f9a7 · outbound

This paper cites peS2o (Pretraining Efficiently on S2ORC) Dataset.

FlexOlmo: Open Language Models for Flexible Data Use peS2o (Pretraining Efficiently on S2ORC) Dataset

Reference 80

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raw_fallback, observed 2026-08-06T18:57:17.522321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:57:16.190853Z digest=sha256:f6cc2fecb1521bab87923e6cb60178a4be1e4f209e115ea1ca57fd25af2f0e51

Observation c27fe7f5-a26f-4d91-ae01-7487cc87cda8 · outbound

This paper cites S2ORC: The semantic scholar open research corpus.

FlexOlmo: Open Language Models for Flexible Data Use S2ORC: The semantic scholar open research corpus

Reference 81

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raw_fallback, observed 2026-08-06T18:57:17.505834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:57:16.195649Z digest=sha256:1710ad2c6afe46d54c93a860982ba196e6114933d55e335d597ae5e5458cd844

Observation f5d799e9-fda0-4af9-a49f-808cf11c6e2e · outbound

This paper cites Smollm2: When smol goes big – data-centric training of a small language model, 2025.

FlexOlmo: Open Language Models for Flexible Data Use Smollm2: When smol goes big – data-centric training of a small language model, 2025

Reference 82

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no resolver link, observed 2026-08-06T18:57:16.200172Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T18:57:16.200172Z digest=sha256:c46c60121b858d00119a4234a9fec72c2a88f7ee738e1c14901dad03b314e966

Observation 4aa6ef92-ebda-48f1-b4b3-63d55b534fdc · outbound

This paper cites Peters, Abhilasha Ravichander, Kyle Richardson, Zejiang Shen, Emma Strubell, Nishant Subramani, Oyvind Tafjord, Pete Walsh, Luke Zettlemoyer, Noah A.

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

Reference 83

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raw_fallback, observed 2026-08-06T18:57:17.480718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:57:16.204775Z digest=sha256:94caf53b9966acd053230c5c22033c9dc4f5e6833e728ab57ba6a469ee1bda94

Observation aef7fa59-bf9a-425f-bcc7-fa3fbd3a3d17 · outbound

This paper cites Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge.

FlexOlmo: Open Language Models for Flexible Data Use Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Reference 84

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no resolver link, observed 2026-08-06T18:57:16.209524Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T18:57:16.209524Z digest=sha256:cb37a855cef87f7c304a04f602322e039d2e8bbb41f5491fd1e5164c6ef38146

Observation dd5cb444-ff6a-4519-aefc-a57fde76d56f · outbound

This paper cites Boolq: Exploring the surprising difficulty of natural yes/no questions, 2019.

FlexOlmo: Open Language Models for Flexible Data Use Boolq: Exploring the surprising difficulty of natural yes/no questions, 2019

Reference 85

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no resolver link, observed 2026-08-06T18:57:16.214931Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T18:57:16.214931Z digest=sha256:f4e45450374ea1b990b9c96c10dabc71267879add00dd323feb3b44ace7fb462

Observation 0f9cd561-81c0-4f3a-bf1c-e48c2ec37eeb · outbound

This paper cites Khapra, Karthik Sankaranarayanan, and Sarath Chandar.

FlexOlmo: Open Language Models for Flexible Data Use Khapra, Karthik Sankaranarayanan, and Sarath Chandar

Reference 86

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raw_fallback, observed 2026-08-06T18:57:17.454610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:57:16.219694Z digest=sha256:a626c63260b7d10a9763f0ff138fe5f1240a2626b4501486009b779629b0d7d8

Observation 87a9ef40-9a70-470d-9c8b-4c379e3929c2 · outbound

This paper cites Hellaswag: Can a machine really finish your sentence?, 2019.

FlexOlmo: Open Language Models for Flexible Data Use Hellaswag: Can a machine really finish your sentence?, 2019

Reference 87

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no resolver link, observed 2026-08-06T18:57:16.223981Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T18:57:16.223981Z digest=sha256:f2c972d058c0bd272b888856edf0d4e246cfd0f50a34c0b8184a94ee63be3aca

Observation f3c3b0ad-7751-441f-a8d8-0d4ed1fb0748 · outbound

This paper cites Can a suit of armor conduct electricity? a new dataset for open book question answering.

FlexOlmo: Open Language Models for Flexible Data Use Can a suit of armor conduct electricity? a new dataset for open book question answering

Reference 88

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no resolver link, observed 2026-08-06T18:57:16.228472Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T18:57:16.228472Z digest=sha256:92e01df7d985c5a0dcec62aa4ed96dfa5ccfa5c9ec860cfbe8ce35174dc1fa45

Observation 94901941-0dce-4b55-b6bf-118515cf153f · outbound

This paper cites Piqa: Reasoning about physical commonsense in natural language, 2019.

FlexOlmo: Open Language Models for Flexible Data Use Piqa: Reasoning about physical commonsense in natural language, 2019

Reference 89

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no resolver link, observed 2026-08-06T18:57:16.232642Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T18:57:16.232642Z digest=sha256:2656e77995d1f883de622c6cd123038ae923b7c50964c0f775bc2cc79a3ef851

Observation 1b09d00a-73ec-4e23-8f8f-873682840f9a · outbound

This paper cites Socialiqa: Commonsense reasoning about social interactions, 2019.

FlexOlmo: Open Language Models for Flexible Data Use Socialiqa: Commonsense reasoning about social interactions, 2019

Reference 90

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:57:17.411211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:57:16.237696Z digest=sha256:d2c189e33168885a19aba1c928f31069daba67b974836fd1c2e2cb7cd74a900d

Observation 6e9219c5-74ab-4dfa-893f-5943efbbe3d8 · outbound

This paper cites WinoGrande: An Adversarial Winograd Schema Challenge at Scale.

FlexOlmo: Open Language Models for Flexible Data Use WinoGrande: An Adversarial Winograd Schema Challenge at Scale

Reference 91

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no resolver link, observed 2026-08-06T18:57:16.242265Z

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source=pdf_text observed=2026-08-06T18:57:16.242265Z digest=sha256:8cdae0e3ce2d0711a5409e0daeba19410877d38dc44c2777edcb9b66c23ffddd

Observation dc579018-bef2-4aec-b2f1-dd2e98f01e77 · outbound

This paper cites an unresolved cited work.

FlexOlmo: Open Language Models for Flexible Data Use Unresolved cited work

Reference 92

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raw_fallback, observed 2026-08-06T18:57:17.396318Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:57:16.246975Z digest=sha256:0df2d51fb55a4ceeec8db6073026f5753b0fd9dc73ab782ab72d51f558abf019

Observation 6cd4a841-807c-49fc-b491-a34ca289290d · outbound

This paper cites Squad: 100,000+ questions for machine comprehension of text, 2016.

FlexOlmo: Open Language Models for Flexible Data Use Squad: 100,000+ questions for machine comprehension of text, 2016

Reference 93

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source=pdf_text observed=2026-08-06T18:57:16.251494Z digest=sha256:bde17fbc9059ff5f94da3b990c8a9588fcde7bf51e92c77e30c39eb849d24ae0

Observation dcb5b019-8582-46a0-bfec-5e6d6006c70b · outbound

This paper cites Dai, Jakob Uszkoreit, Quoc Le, and Slav Petrov.

FlexOlmo: Open Language Models for Flexible Data Use Dai, Jakob Uszkoreit, Quoc Le, and Slav Petrov

Reference 94

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source=pdf_text observed=2026-08-06T18:57:16.255713Z digest=sha256:e1362426bb09f806f478e2023b8dfa15fc297a1656aaa047fe64b4c65d77334b

Observation f44ec807-78ae-434c-8b19-f88beb269089 · outbound

This paper cites Weld, and Luke Zettlemoyer.

FlexOlmo: Open Language Models for Flexible Data Use Weld, and Luke Zettlemoyer

Reference 95

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no resolver link, observed 2026-08-06T18:57:16.260292Z

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source=pdf_text observed=2026-08-06T18:57:16.260292Z digest=sha256:789cc5e066e986f0c78c22cb510b7f21c218f87b9bf47dd1a0f7f6ad9998b762

Observation 468c03c1-ddde-4900-8882-28a6834b2169 · outbound

This paper cites Drop: A reading comprehension benchmark requiring discrete reasoning over paragraphs, 2019.

FlexOlmo: Open Language Models for Flexible Data Use Drop: A reading comprehension benchmark requiring discrete reasoning over paragraphs, 2019

Reference 96

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verified fuzzy
raw_fallback, observed 2026-08-06T18:57:17.351815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:57:16.265158Z digest=sha256:1472065b9105219ab4ef00b3c091ba4d1acf65c251bb03d1ac841b39dddce89a

Observation 8d7e3605-e288-45c4-98be-543edef79a67 · outbound

This paper cites Measuring massive multitask language understanding.

FlexOlmo: Open Language Models for Flexible Data Use Measuring massive multitask language understanding

Reference 97

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no resolver link, observed 2026-08-06T18:57:16.269319Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T18:57:16.269319Z digest=sha256:a36e81705c67f7c9070d3c4d4b5df3d210234bbac6b3c71262a6f1bcb065a117

Observation 8242bd67-2f77-456a-85c5-030b8914547f · outbound

This paper cites Mmlu-pro: A more robust and challenging multi-task language understanding benchmark, 2024.

FlexOlmo: Open Language Models for Flexible Data Use Mmlu-pro: A more robust and challenging multi-task language understanding benchmark, 2024

Reference 98

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source=pdf_text observed=2026-08-06T18:57:16.273808Z digest=sha256:6df34cb97b5062fa56ee3ab8740ff0d600bb3452b03cbe1f125a587604e49208

Observation b21f03af-ee90-441d-83be-2ebe0fe67715 · outbound

This paper cites Agieval: A human-centric benchmark for evaluating foundation models, 2023.

FlexOlmo: Open Language Models for Flexible Data Use Agieval: A human-centric benchmark for evaluating foundation models, 2023

Reference 99

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verified fuzzy
raw_fallback, observed 2026-08-06T18:57:17.316651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:57:16.278441Z digest=sha256:06d2d12b75e10d1d8bdfeb85ef3c4554702d1d6b7e2cc071dfe203c67313cf34

Observation 3e544def-4689-46f1-a673-2dffaec5e608 · outbound

This paper cites Le, Ed H.

FlexOlmo: Open Language Models for Flexible Data Use Le, Ed H

Reference 100

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no resolver link, observed 2026-08-06T18:57:16.282903Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T18:57:16.282903Z digest=sha256:276575f624bda44b5515739fbf04635c51a5396491384400b1157882a701caf7

Pith citing papers

Observation 31f8367d-32b3-42ba-b7be-0cad5df8f07c · inbound

User Privacy and Large Language Models: An Analysis of Frontier Developers' Privacy Policies cites this paper.

User Privacy and Large Language Models: An Analysis of Frontier Developers' Privacy Policies FlexOlmo: Open Language Models for Flexible Data Use

Reference 77

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no resolver link, observed 2026-08-05T06:00:20.620762Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T06:00:20.620762Z digest=sha256:7b9925e52ff536f0babbd1f2d96b5707689c9a6745756d8072371e5f8bad8f31

Observation 3c7cbced-c308-48a7-8334-080a1e4303f8 · inbound

A Human-Centric Framework for Data Attribution in Large Language Models cites this paper.

A Human-Centric Framework for Data Attribution in Large Language Models FlexOlmo: Open Language Models for Flexible Data Use

Reference 169

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arxiv_id, observed 2026-05-16T02:37:10.604433Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-16T02:33:56.023070Z digest=sha256:5d90519354776f12fc4b7a8fcafc90734e90eae09af126e3e3c1e29e471a0a2b

Observation 3807499f-d513-405a-8343-7e6d560ad2df · inbound

PubSwap: Public-Data Off-Policy Coordination for Federated RLVR cites this paper.

PubSwap: Public-Data Off-Policy Coordination for Federated RLVR FlexOlmo: Open Language Models for Flexible Data Use

Reference 19

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metadata mismatch
arxiv_id, observed 2026-05-11T09:21:00.178520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T16:05:27.319466Z digest=sha256:6eedd666a6de1bb1ff62d863a1fb254f23c443b8676056ae1b2c5102d983e9f3

Observation de7ab114-5522-4b42-b5e6-eb2e45821c64 · inbound

Train Separately, Merge Together: Modular Post-Training with Mixture-of-Experts cites this paper.

Train Separately, Merge Together: Modular Post-Training with Mixture-of-Experts FlexOlmo: Open Language Models for Flexible Data Use

Reference 38

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arxiv_id, observed 2026-05-10T05:56:11.391939Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-10T05:52:28.822723Z digest=sha256:2887663dae5cb6420e429f3f2b543f609f31dce463aea512d674385a904f335f

Observation 44cfb1d2-e0df-446b-a857-ac52f282c6b9 · inbound

Toward Open Weight Models Without Risks: Separating Public and Private Capabilities in LLMs cites this paper.

Toward Open Weight Models Without Risks: Separating Public and Private Capabilities in LLMs FlexOlmo: Open Language Models for Flexible Data Use

Reference 5

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arxiv_id, observed 2026-07-04T07:09:37.879100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-26T13:45:37.011281Z digest=sha256:7acbbf324d00950b5fbde7eec98851e1992cc636bd12cb1b54e4410d6a13a3f6

Observation cf84c287-153b-416d-b7d7-968b12ed0f92 · inbound

Prototype Language Models cites this paper.

Prototype Language Models FlexOlmo: Open Language Models for Flexible Data Use

Reference 203

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arxiv_id, observed 2026-07-02T16:17:08.353685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-07-02T16:13:43.039645Z digest=sha256:b8fbf953daf0e4753488d71caa450fcec573fdd38b3c154be5aebf6c72e62a9b