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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=sha256:5f62d96230dc3ca54852a86723e4aaca17b5a4ad7a8e0aced154df4f72b5bd7e

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=sha256:384e305f20c591ba7d37c12aecb147814ec098649449622041f0dd3bafdb7a91

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:fb56452d799f4a9b9486b6372867e87794afd6b57a6e566525690783ac4a5f91

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=sha256:5974e0ceef2f10308260505e661b1ea59ae09b2ced8f5a4c10c389e8990507b8

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=sha256:53caa7f628daaa33f2a8e64dce867f16d7a8cda4e0077f0e2d9e1d401deffdd6

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:f3872d9c3e844da0ca6445393b2724f36556a1304fd6e19e8ef7fede2626a67c

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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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=sha256:817b6849cd319fd7fa7cc4fc7ee4b317b39947661f010ec17064479f181f7798

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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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:bf47006ffcdf4b9112c83bd63d172fd7f9f61248c590c0e4cc7217f001cc3d06

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=sha256:06b5c235d9669bf073eb7a5d0fd9b1b97edb1d9b4adf6abdd23ebb3b5515c1ce

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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source=pdf_text observed=2026-08-06T18:57:15.870593Z digest=sha256:2e6260bb4c6649396babef9d4fc5c1d1d6242b457df7d4e80c8383529084af4b

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=sha256:28cccc956cbf144cfbb159eeee1c7cc9eeb02a5cffb95d74eda38eba415b10ee

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=sha256:472045e234d6fbc8f31f106f8980c2a3dafa2474f42bd955194e858cc1ef9936

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:d34618f5bd45a97ecf2795e61c2772a6c97e9ab9000d7f779fbceb6d2962b5e1

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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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=sha256:84fc661666d0bb2fcdb26a0b166bcb6848d715f375f45dff17cb080d12980c93

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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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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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=sha256:461d523440336b40db1d7cf6ea03e699c877d34d3f4db3ceb6eaa71e38a321b0

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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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=sha256:9c5ebb20eb5d85f1a3fd77ff65273bcb48d0177172dd20c23ccbffc24a4345de

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:d49865a6af2fa024909d899c107fef42b03c7faca7da11e6cbcce76f423faa85

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:b9b6a3a2a0638a8bfbb5edd8ccca2d0f4a96975e64590b1e09a76847db3bbc20

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=sha256:4a8fff0ed0ea3d38c8818cb7baa1389fe2015f2e4c81495e52479409e0ce0264

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=sha256:82d379f99f14b91c0d8ff9afe011519a108ce61f649c79d1c16042ab290337af

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:bad3494e472dd599e8e52be5e39da7fc4335c6ba410c7c658aea86c1885731f8

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=sha256:4246c8b36fb2492af7e0bc00719dfd2acbdc41f82ad95956c57798365bfc4065

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=sha256:223f2155e72668c0e76383234bd0e7fb6e2ecd52576b339c666ad75304ea496e

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=sha256:7ee83348e14b0d2bec3b6d05e4cb01c560b5164aa7fcdfa5e5484469090c6b28

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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source=pdf_text observed=2026-08-06T18:57:16.000509Z digest=sha256:31a5c8a21db927f00704f71ee465da52728792a5d18639d7a6595ceb213b63f6

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=sha256:8cae920abf5c9e5ff5134142f59b5c2502ef14a4df38b80d9188cb60f9d933f7

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:e25e27c56c56a9cdd89a81f2fa688aaf4009ce20a7dea7db6571a87d1c41f3f4

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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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=sha256:8137d0db3d80a4243a9a7b651b4297e6670963d2272862a82b1c5234ff879140

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:a38e61cfc5ded1b4e15ceec0278fec0aaccb194e0d533bde415049a35ddf5319

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:ceefd70b812036e4d15939f4b85ab698a9c9cdbd9a6f079b17acc08c75b24311

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:c143b889cc5277d9d56a20b07ce5c6ae55ffa170cffd010703683c0068404ae2

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=sha256:342b03bd89c901121a8f2532ecbbe834045097b839bf0b03158c333dde5736f5

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:c98bbc820bea1af21aadb80ebdee9f635462a2ed93665f3973f58a509235a7f2

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=sha256:123f7311f8b2679d5c77eb7e451f360606fbc81c19a61ff68754d005039e13cf

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=sha256:594cc36221308576f61a126fa9028cdbc912fbafc404528300f0032a7bad11cd

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=sha256:9366f3ad5aced1782641a4e09aec9f5c24841a8c0f0a7dee284e96c5a0ad0ed3

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:a9b70b034a801398e55399f91cfa81fe30d62ecdab3d74e701b4c25489d965c3

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:a1427acb7103fa8e9754f993564b8cf892dc72e9596621cdc393fc8bb98de72a

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=sha256:83d52714f950437437e33e66108c8599ce5d0b619ef0b98802f9faa9c8397e4b

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:e36929e0455d8456cec0da9ca90f3ce70661d3aeb0cbacfee00b5eba9d6a6ec8

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=sha256:78aaac0292d2f4c2733cf45e0275ecc371e636019c5e61c08dd08de36e43ed54

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=sha256:61c54643dec92584c440656389cac4cfc15ad365aaffa791631057905592ddb4

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=sha256:3439e7336afb871b538d9920cbadaa61bc1db2b05388fc8de16920bcc96dcb90

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:a0d14389fa8f773bf2fb2cd0a6077e84fc178453d51645a13a7e0452f90b72a2

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:d0bf065a57aafb56ae50b41bc7bcec13fe77af038adce9a6e0069261d55191a8

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:e55317b917f26a611de747f7405d5159d6a477ca299703a15bef916fd70ecad8

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=sha256:26902b9cec8a968643e1dcf5fd7d1c23f8ef02b4eaf7fcc4ebfbb99b8b3e6c4e

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=sha256:9a42d028b12a46b986d442078a87bd66fb99b8fe143399be3e3edbbcd85bc5fc

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:f959b129bb0691245ee90cda953a616e13f2a73b7e41250ab7f84ddc7cd8dcf4

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=sha256:9f78ed0aa73ef9dc10c9667ee0e7c8073de197d02ab309438cb9286cdda532af

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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local_arxiv, observed 2026-08-06T18:57:16.555692Z

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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:c173aa7fbe4e3ff7cb248aec3e6424e799c608faee417a2ecfd3af9de5d7dec1

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=sha256:86e3c70e966266c4c50779e3b2d5284bfb5fa5119e949e34c6e75db3622b5986

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=sha256:12a856a9f2f4d5016020fdd2c8f2741399ab14788d6e6458b125fc11016a30f7

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=sha256:6eb453378753e7143fbb9d0058c30bb608dcdc4e009e101fd68ea7103d046048

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=sha256:09db8a63212c104f50806f084d62f0fbb7632baaab2d29e74a1186ba92c361da

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=sha256:196abd4bf028b7ac9c5b87e6d8e72deb7c0711cb5b5ba0e2921d7e1ba5b9f75b

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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source=pdf_text observed=2026-08-06T18:57:16.161428Z digest=sha256:06f23cea7b972c580f018e7211d001f73db71a151455e5aa313524510ec561fe

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

source=pdf_text observed=2026-08-06T18:57:16.166403Z digest=sha256:2616364d8eb7fadff933e45f2495521668f382a1dd4e1e1fe64a1a598c82b7c2

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:f0b123fd1deae2cae893da8e228614e6a4ab3bba76efab84f5285a1ee959b659

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=sha256:11874f72d7778b7b07dbddf76919cabe57429cca886a9f113e429b0c54914b25

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=sha256:367e2995ea80ba448c247414dab1fba7356e7d13dab86466ded6252a7ecd695c

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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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:ce6c524c91d2160eb6210ea2d36dd3c8f55c383e4eda64cb09bc6ba7d9a5c28f

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=sha256:160048acf633694d0dde7813de86c1ac6d9eaa6c6efe5a85df0b4fc7b13aafad

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=sha256:40385754750d05a4b9d5bac871fed854db8fa71f747e22fab407fc08c114b9e0

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=sha256:0cb2e456b50a12629798bd15173fd693d20ffd74b9a89feb33186c282d327afb

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=sha256:39392b550a39f6d227d2760b4b180c683ae88ab82c9ab5baff078cdf0fef0a87

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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Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T18:57:16.209524Z digest=sha256:e69666aab9d3c0251cd3ad7ae6e13af0499cd3d77217a7a6579ce8c27a1fab22

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=sha256:830413fa7a69b60246000645d8e4af18329bfb40c7bc318d5af0df1d5c5475a7

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=sha256:3396bcec3c08602436a55f804712d1e1352e2d7f07b188f4c651b8d0ee590853

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=sha256:14d1522a4893bf30db19855240b5fed8c285d64e224dfe05abcf0826665aac49

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

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source=pdf_text observed=2026-08-06T18:57:16.228472Z digest=sha256:58918d8e09f0175897872444030e45ac4bddd1c6f70d56e69cd6d1b4e654c785

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

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source=pdf_text observed=2026-08-06T18:57:16.232642Z digest=sha256:bd7f2ee4501cfe7f27f3268f52eb4b2411f2c5e7e750eb3dff9a3f9fc2b5759b

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

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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:d5b7c62483b3c2cadb64acc34eb0410d78dd94f90762f051915f7510cc35b6c9

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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source=pdf_text observed=2026-08-06T18:57:16.242265Z digest=sha256:a3149a62ba635d4de08abd1e52743957676f272de8403e4cdb2888e55f9a2b4a

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=sha256:2aba1baad74bc0e2c31c3d10813443404e0f4384c404210b889243e8ac975897

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=sha256:30b19747f485ca81a7183ea051fb196a06c2dad87bf575feb9473fd98167e57a

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=sha256:101a89fa9e7499c120ec1d3a766e676f79ad813629f2add18771f522869cabc2

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=sha256:38edb270031fb2b4166889f60b4132049100e0c06b806238afcf013783f60d32

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:aac31eec6025898844bdad0055f454817cab60c0d1ad45e9e5578d0f37c303b1

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:f902524a53bd5f53a1af6754855f8816660121210b604883dbe5a51cf553482f

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:eeb933d2e778aa48d3647c79049bdce733ff5fbf14c8f94cbd66bceeaad17df5

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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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=sha256:92f7ea503e9451f0ddffef3056e45b1556390a682c14cd45ba3422e33f7ef77c

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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Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T18:57:16.282903Z digest=sha256:b0ad9ec7585cc6581053f1fbeb4366c4c737bc61019898e9ae94c5ed971f64c7

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=sha256:41cffe86cd07e42b1f7f8d60b10d4b80984eb2763d2e2e30a79fc69ec8011257

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=sha256:967e5cd319ce7a8d22b4d67bb1311b58125abbbecc30a6e17a7f68b777d53c56

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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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:e44451ad38c2eccc9d27b2b35c3dca6d19e16ad5fe853c712f554746fc601073

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:cbee1586a5c0acc81708a8746dee77b978c71a0bb16f9023b2928862b796ff31

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:d486f72e4621b6aa3d519a3cf1b2b2f88be8fb42b6624f953af5b6801ca73730

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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verified exact
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:c50cd0c51b540bd49d911fa571f6f96554b4c2e693274b04dbbc03c29e5c5c88