Automated Capability Discovery via Foundation Model Self-Exploration | Paper Citation Record

Observation 34015f80-e947-4378-a33c-811c92ca25d9 · outbound

This paper cites The claude 3 model family: Opus, sonnet, haiku, 2024.

Automated Capability Discovery via Foundation Model Self-Exploration The claude 3 model family: Opus, sonnet, haiku, 2024

Reference 1

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Observation fe00da0d-2e77-49f8-932a-a408ce5cc803 · outbound

This paper cites Managing extreme ai risks amid rapid progress.Science, 384(6698):842–845, 2024.

Automated Capability Discovery via Foundation Model Self-Exploration Managing extreme ai risks amid rapid progress.Science, 384(6698):842–845, 2024

Reference 2

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Observation b7fee393-e949-4ae9-80a9-4ba9ffb954e1 · outbound

This paper cites International Scientific Report on the Safety of Advanced AI (Interim Report).

Automated Capability Discovery via Foundation Model Self-Exploration International Scientific Report on the Safety of Advanced AI (Interim Report)

Reference 3

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Observation 1050337d-2fc9-44f6-993e-0f5b89be5eb3 · outbound

This paper cites Beyond the imitation game: Quantifying and extrapolating the capabilities of language models.Transactions on Machine Learning Research, 2023.

Automated Capability Discovery via Foundation Model Self-Exploration Beyond the imitation game: Quantifying and extrapolating the capabilities of language models.Transactions on Machine Learning Research, 2023

Reference 4

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Observation fbb5f4b1-e50b-4d8c-be4a-6e667ce9fa47 · outbound

This paper cites Hudson, Ehsan Adeli, Russ Altman, Simran Arora, Sydney von Arx, Michael S.

Automated Capability Discovery via Foundation Model Self-Exploration Hudson, Ehsan Adeli, Russ Altman, Simran Arora, Sydney von Arx, Michael S

Reference 5

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Observation da23bdd6-e48f-4ab9-af14-37dbdf74fe4a · outbound

This paper cites Measuring Progress on Scalable Oversight for Large Language Models.

Automated Capability Discovery via Foundation Model Self-Exploration Measuring Progress on Scalable Oversight for Large Language Models

Reference 6

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Observation 3ee69007-7534-4d60-8914-d8e7cdb53e44 · outbound

This paper cites an unresolved cited work.

Automated Capability Discovery via Foundation Model Self-Exploration Unresolved cited work

Reference 7

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Observation cfd82764-140b-4cc0-86e6-007dc3e0bd13 · outbound

This paper cites A survey on evaluation of large language models.ACM Transactions on Intelligent Systems and Technology, 15(3):1–45, 2024.

Automated Capability Discovery via Foundation Model Self-Exploration A survey on evaluation of large language models.ACM Transactions on Intelligent Systems and Technology, 15(3):1–45, 2024

Reference 8

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Observation d79bb949-f070-435d-9b96-297a432a575a · outbound

This paper cites an unresolved cited work.

Automated Capability Discovery via Foundation Model Self-Exploration Unresolved cited work

Reference 9

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Observation b200ae38-e8d9-4ab6-9bf5-e6f5d1dce182 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

Automated Capability Discovery via Foundation Model Self-Exploration Evaluating Large Language Models Trained on Code

Reference 10

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Observation ae13b390-41b2-45a6-8ed8-7dc99210c460 · outbound

This paper cites AI-GAs: AI-generating algorithms, an alternate paradigm for producing general artificial intelligence.

Automated Capability Discovery via Foundation Model Self-Exploration AI-GAs: AI-generating algorithms, an alternate paradigm for producing general artificial intelligence

Reference 11

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Observation 8deac75e-500d-44a5-8470-0a13cbd374f8 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Automated Capability Discovery via Foundation Model Self-Exploration Training Verifiers to Solve Math Word Problems

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-08T12:17:55.169055Z

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Observation 239d6e9e-eea4-4b0f-8b49-2f3b9c2f81e2 · outbound

This paper cites Augmenting autotelic agents with large language models.

Automated Capability Discovery via Foundation Model Self-Exploration Augmenting autotelic agents with large language models

Reference 13

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Observation 55b9c9c6-8342-42ab-b3cc-1739bf337b20 · outbound

This paper cites Deepseek-r1: Incentivizing reasoning capability in llms via reinforcement learning, 2025.

Automated Capability Discovery via Foundation Model Self-Exploration Deepseek-r1: Incentivizing reasoning capability in llms via reinforcement learning, 2025

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-08T12:17:55.176790Z

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Observation 6326dc9e-6c85-48be-9f1c-f5a4f72e2522 · outbound

This paper cites Attacks, Defenses and Evaluations for LLM Conversation Safety: A Survey.

Automated Capability Discovery via Foundation Model Self-Exploration Attacks, Defenses and Evaluations for LLM Conversation Safety: A Survey

Reference 15

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Observation 0f6298d7-9afe-4853-987e-74df49a253d8 · outbound

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

Automated Capability Discovery via Foundation Model Self-Exploration Drop: A reading comprehension benchmark requiring discrete reasoning over paragraphs,

Reference 16

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Observation 5832b0ad-94ef-4cef-851f-2b0fe4dac503 · outbound

This paper cites OMNI-EPIC: Open-endedness via Models of human Notions of Interestingness with Environments Programmed in Code.

Automated Capability Discovery via Foundation Model Self-Exploration OMNI-EPIC: Open-endedness via Models of human Notions of Interestingness with Environments Programmed in Code

Reference 17

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Observation bef26345-7c81-4d09-9e06-25fc1d5f8759 · outbound

This paper cites Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons Learned.

Automated Capability Discovery via Foundation Model Self-Exploration Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons Learned

Reference 18

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Observation 6de2f94f-1c16-4ab9-a525-2e5bfc4b88ba · outbound

This paper cites aider, 2024.

Automated Capability Discovery via Foundation Model Self-Exploration aider, 2024

Reference 19

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Observation 2ab1e6f3-a8f8-4e15-bb08-117b78ffd961 · outbound

This paper cites Gemini: A family of highly capable multimodal models, 2024.

Automated Capability Discovery via Foundation Model Self-Exploration Gemini: A family of highly capable multimodal models, 2024

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-08T12:17:55.206535Z

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Observation e02a4ca6-2e91-41c0-bbe5-6b141de96f30 · outbound

This paper cites Introducing connect by cloudresearch: Advancing online participant recruitment in the digital age, 2023.

Automated Capability Discovery via Foundation Model Self-Exploration Introducing connect by cloudresearch: Advancing online participant recruitment in the digital age, 2023

Reference 21

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Observation 9c843f45-319f-4504-9a8a-c515ad3f99f8 · outbound

This paper cites Measuring massive multitask language understanding.

Automated Capability Discovery via Foundation Model Self-Exploration Measuring massive multitask language understanding

Reference 22

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Observation e3a22e01-a27c-4c26-aa44-dbd644ac2386 · outbound

This paper cites Measuring mathematical problem solving with the math dataset.

Automated Capability Discovery via Foundation Model Self-Exploration Measuring mathematical problem solving with the math dataset

Reference 23

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Observation 17f19048-9611-48da-b9c3-e63a5c199fa0 · outbound

This paper cites Automated Design of Agentic Systems.

Automated Capability Discovery via Foundation Model Self-Exploration Automated Design of Agentic Systems

Reference 24

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Observation 1328ffe4-ec2c-4ff2-a04d-5bf257c17111 · outbound

This paper cites Position: Open-endedness is essential for artificial superhuman intelligence.

Automated Capability Discovery via Foundation Model Self-Exploration Position: Open-endedness is essential for artificial superhuman intelligence

Reference 25

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Observation 9e9e25be-5604-4c3b-8bed-30cc30a6116c · outbound

This paper cites Automated Progressive Red Teaming.

Automated Capability Discovery via Foundation Model Self-Exploration Automated Progressive Red Teaming

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-08T12:17:55.228562Z

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Observation 6e9c4824-c45a-4ea5-b1ec-22ccde0979a5 · outbound

This paper cites SWE-bench: Can language models resolve real-world github issues? InThe Twelfth International Conference on Learning Representations, 2024.

Automated Capability Discovery via Foundation Model Self-Exploration SWE-bench: Can language models resolve real-world github issues? InThe Twelfth International Conference on Learning Representations, 2024

Reference 27

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Observation d90fb67d-cf55-4603-b683-38b05c735294 · outbound

This paper cites Novelty search and the problem with objectives.Genetic programming theory and practice IX, pages 37–56, 2011.

Automated Capability Discovery via Foundation Model Self-Exploration Novelty search and the problem with objectives.Genetic programming theory and practice IX, pages 37–56, 2011

Reference 28

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Observation c440a9be-a455-4de1-80be-c79a067bcde2 · outbound

This paper cites Evolution through Large Models.

Automated Capability Discovery via Foundation Model Self-Exploration Evolution through Large Models

Reference 29

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Observation d1a7b261-84e8-4f44-98f2-9bb7d3d6d8fa · outbound

This paper cites The llama 3 herd of models, 2024.

Automated Capability Discovery via Foundation Model Self-Exploration The llama 3 herd of models, 2024

Reference 30

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Observation 83b5c0fd-d920-46b8-977a-349c829d2924 · outbound

This paper cites Discovering Preference Optimization Algorithms with and for Large Language Models.

Automated Capability Discovery via Foundation Model Self-Exploration Discovering Preference Optimization Algorithms with and for Large Language Models

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-08T12:17:55.247433Z

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Observation c5daca04-0093-4ef0-8db2-3fd9f121d2cb · outbound

This paper cites The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery.

Automated Capability Discovery via Foundation Model Self-Exploration The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery

Reference 32

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Observation 0a3ecfc1-4365-4e65-8af7-99e5795781a1 · outbound

This paper cites Intelligent Go-Explore: Standing on the Shoulders of Giant Foundation Models.

Automated Capability Discovery via Foundation Model Self-Exploration Intelligent Go-Explore: Standing on the Shoulders of Giant Foundation Models

Reference 33

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Observation 9bbd0236-5e0d-4e77-9466-a2c223a80c5e · outbound

This paper cites LLM Critics Help Catch LLM Bugs.

Automated Capability Discovery via Foundation Model Self-Exploration LLM Critics Help Catch LLM Bugs

Reference 34

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Observation fe60b3e0-c4e4-4943-8f14-1577f12f989e · outbound

This paper cites hdbscan: Hierarchical density based clustering.

Automated Capability Discovery via Foundation Model Self-Exploration hdbscan: Hierarchical density based clustering

Reference 35

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Observation 27f472fc-fda7-431c-83cb-c14380ed4e89 · outbound

This paper cites Metr task standard, 2024.

Automated Capability Discovery via Foundation Model Self-Exploration Metr task standard, 2024

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-08T12:17:55.268572Z

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Observation 55307947-2f37-4c34-9a1f-9c8e04250227 · outbound

This paper cites Illuminating search spaces by mapping elites.

Automated Capability Discovery via Foundation Model Self-Exploration Illuminating search spaces by mapping elites

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-08T12:17:55.272259Z

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Observation dcabfc6c-a139-4fd2-9bd8-2c434a3011be · outbound

This paper cites OpenAI o1 System Card.

Automated Capability Discovery via Foundation Model Self-Exploration OpenAI o1 System Card

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-08T12:17:55.276330Z

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Observation 780d88e8-8865-4330-a1ed-650b51b788bd · outbound

This paper cites GPT-4o System Card.

Automated Capability Discovery via Foundation Model Self-Exploration GPT-4o System Card

Reference 39

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Observation 37f41098-e6b2-4c43-b6b8-5b8f02f31b7f · outbound

This paper cites New embedding models and api updates, 2024.

Automated Capability Discovery via Foundation Model Self-Exploration New embedding models and api updates, 2024

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-08T12:17:55.285113Z

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Observation e7db99d5-84a0-4f66-a344-c1811f4b285e · outbound

This paper cites Automated Red Teaming with GOAT: the Generative Offensive Agent Tester.

Automated Capability Discovery via Foundation Model Self-Exploration Automated Red Teaming with GOAT: the Generative Offensive Agent Tester

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-08T12:17:55.288814Z

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Observation 4bcda9fe-580c-4161-9d70-78e2a783bd2d · outbound

This paper cites Pedregosa, G.

Automated Capability Discovery via Foundation Model Self-Exploration Pedregosa, G

Reference 42

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Observation e20967f0-7756-491a-b4eb-57706abd1bf7 · outbound

This paper cites Red Teaming Language Models with Language Models.

Automated Capability Discovery via Foundation Model Self-Exploration Red Teaming Language Models with Language Models

Reference 43

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Observation 28b73b6e-28ab-428e-ba29-7c6f7b32248f · outbound

This paper cites Ignore Previous Prompt: Attack Techniques For Language Models.

Automated Capability Discovery via Foundation Model Self-Exploration Ignore Previous Prompt: Attack Techniques For Language Models

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-08T12:17:55.301280Z

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Observation 29ebd830-2202-4f57-b83b-ca0fa0317428 · outbound

This paper cites an unresolved cited work.

Automated Capability Discovery via Foundation Model Self-Exploration Unresolved cited work

Reference 45

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Observation 3b6dc954-98be-4e1a-8c33-bd21c85c0de0 · outbound

This paper cites Aces: generating diverse programming puzzles with autotelic language models and semantic descriptors.Neurips, 2024.

Automated Capability Discovery via Foundation Model Self-Exploration Aces: generating diverse programming puzzles with autotelic language models and semantic descriptors.Neurips, 2024

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-08T12:17:55.309279Z

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Observation cc511dfc-bd1f-4b7f-b5eb-fd619d4896dc · outbound

This paper cites Aces: Generating diverse programming puzzles with with autotelic generative models, 2024.

Automated Capability Discovery via Foundation Model Self-Exploration Aces: Generating diverse programming puzzles with with autotelic generative models, 2024

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-08T12:17:55.312824Z

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Observation e5b3f1e3-5481-49bc-a6e1-37376fc20754 · outbound

This paper cites Quality diversity: A new frontier for evolutionary computation.Frontiers in Robotics and AI, 3:202845, 2016.

Automated Capability Discovery via Foundation Model Self-Exploration Quality diversity: A new frontier for evolutionary computation.Frontiers in Robotics and AI, 3:202845, 2016

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-08T12:17:55.316577Z

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Observation 62f4e77f-d201-4cd3-9eb9-1594efd0a420 · outbound

This paper cites Markosyan, Manish Bhatt, Yuning Mao, Minqi Jiang, Jack Parker-Holder, Jakob Nicolaus Foerster, Tim Rocktäschel, and Roberta Raileanu.

Automated Capability Discovery via Foundation Model Self-Exploration Markosyan, Manish Bhatt, Yuning Mao, Minqi Jiang, Jack Parker-Holder, Jakob Nicolaus Foerster, Tim Rocktäschel, and Roberta Raileanu

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-08T12:17:55.320232Z

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Observation 09ca688c-106d-488d-a08b-ba7ff8639d07 · outbound

This paper cites Boundless Socratic Learning with Language Games.

Automated Capability Discovery via Foundation Model Self-Exploration Boundless Socratic Learning with Language Games

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-08T12:17:55.323581Z

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Observation 75875ad5-7c83-4db5-910a-094285742c4f · outbound

This paper cites Ai-assisted generation of difficult math questions,.

Automated Capability Discovery via Foundation Model Self-Exploration Ai-assisted generation of difficult math questions,

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-08T12:17:55.327124Z

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Observation f40ecc08-d9b2-4de1-9432-aea3ac958b87 · outbound

This paper cites AI-Assisted Generation of Difficult Math Questions.

Automated Capability Discovery via Foundation Model Self-Exploration AI-Assisted Generation of Difficult Math Questions

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-08T12:17:55.334815Z

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Observation f4c291cb-b2a3-4034-9ffd-e04fa1774c20 · outbound

This paper cites Reflexion: Language agents with verbal reinforcement learning, 2023.

Automated Capability Discovery via Foundation Model Self-Exploration Reflexion: Language agents with verbal reinforcement learning, 2023

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-08T12:17:55.338401Z

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Observation 40153777-dcc5-4a3d-ade4-5801f631056b · outbound

This paper cites Why open-endedness matters.Artificial life, 25(3):232–235, 2019.

Automated Capability Discovery via Foundation Model Self-Exploration Why open-endedness matters.Artificial life, 25(3):232–235, 2019

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-08T12:17:55.342057Z

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Observation 2c568245-a199-46c8-af25-05688e4b9fb3 · outbound

This paper cites Springer, 2015.

Automated Capability Discovery via Foundation Model Self-Exploration Springer, 2015

Reference 55

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Observation aa88ecb4-bd82-4d62-b05a-a626cde78429 · outbound

This paper cites Open-endedness: The last grand challenge you’ve never heard of.While open-endedness could be a force for discovering intelligence, it could also be a component of AI itself, 2017.

Automated Capability Discovery via Foundation Model Self-Exploration Open-endedness: The last grand challenge you’ve never heard of.While open-endedness could be a force for discovering intelligence, it could also be a component of AI itself, 2017

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-08T12:17:55.349355Z

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Observation c8ce6bbc-1900-491f-b242-65e1e801f949 · outbound

This paper cites Stanley, Jeff Clune, Joel Lehman, and Risto Miikkulainen.

Automated Capability Discovery via Foundation Model Self-Exploration Stanley, Jeff Clune, Joel Lehman, and Risto Miikkulainen

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-08T12:17:55.352846Z

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Observation cc42ebe0-6d51-4709-bdc5-ba36c30c2435 · outbound

This paper cites Springer International Publishing, Cham, 2019.

Automated Capability Discovery via Foundation Model Self-Exploration Springer International Publishing, Cham, 2019

Reference 58

Resolution: verified exact; doi, observed 2026-08-08T12:17:56.031915Z

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Observation ded470b6-7164-4911-8629-25ec31f1d085 · outbound

This paper cites CommonsenseQA: A question answering challenge targeting commonsense knowledge.

Automated Capability Discovery via Foundation Model Self-Exploration CommonsenseQA: A question answering challenge targeting commonsense knowledge

Reference 59

Resolution: malformed identifier; no resolver link, observed 2026-08-08T12:17:55.360667Z

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Observation 18443864-6920-4b5a-b45e-454f613b2d06 · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

Automated Capability Discovery via Foundation Model Self-Exploration Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-08T12:17:55.364449Z

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Observation f67f103f-5ff3-4590-9a61-b9ee49702400 · outbound

This paper cites Visualizing data using t-sne.Journal of machine learning research, 9(11), 2008.

Automated Capability Discovery via Foundation Model Self-Exploration Visualizing data using t-sne.Journal of machine learning research, 9(11), 2008

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-08T12:17:55.368773Z

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Observation 47dd3c53-d31f-45be-8696-67d934a33e29 · outbound

This paper cites Paired Open-Ended Trailblazer (POET): Endlessly Generating Increasingly Complex and Diverse Learning Environments and Their Solutions.

Automated Capability Discovery via Foundation Model Self-Exploration Paired Open-Ended Trailblazer (POET): Endlessly Generating Increasingly Complex and Diverse Learning Environments and Their Solutions

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-08T12:17:55.372688Z

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Observation 2e416445-cfbf-424a-b245-ff2d70857c5d · outbound

This paper cites Enhanced poet: Open-ended reinforcement learning through unbounded invention of learning challenges and their solutions.

Automated Capability Discovery via Foundation Model Self-Exploration Enhanced poet: Open-ended reinforcement learning through unbounded invention of learning challenges and their solutions

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-08T12:17:55.376763Z

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Observation bd6cf409-b727-4a20-ab82-01ab4ab4c00b · outbound

This paper cites AutoSurvey: Large Language Models Can Automatically Write Surveys.

Automated Capability Discovery via Foundation Model Self-Exploration AutoSurvey: Large Language Models Can Automatically Write Surveys

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-08T12:17:55.380271Z

Source-reported events for the cited work

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Observation 142fc403-d782-41c9-9e2e-d8add7b69253 · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models.

Automated Capability Discovery via Foundation Model Self-Exploration Chain-of-thought prompting elicits reasoning in large language models

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-08T12:17:55.384289Z

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Observation 64364af4-8a17-4553-92c8-76bcf0ebdf13 · outbound

This paper cites LiveBench: A Challenging, Contamination-Limited LLM Benchmark.

Automated Capability Discovery via Foundation Model Self-Exploration LiveBench: A Challenging, Contamination-Limited LLM Benchmark

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-08T12:17:55.388384Z

Source-reported events for the cited work

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Observation 301fbe1e-69e8-4598-901c-0151acfb6b4b · outbound

This paper cites Hellaswag: Can a machine really finish your sentence? InProceedings of the 57th Annual Meeting of the Association for Computational Linguistics, 2019.

Automated Capability Discovery via Foundation Model Self-Exploration Hellaswag: Can a machine really finish your sentence? InProceedings of the 57th Annual Meeting of the Association for Computational Linguistics, 2019

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-08T12:17:55.393001Z

Source-reported events for the cited work

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Observation d84d3679-c7ed-4267-b010-62f5caaf7179 · outbound

This paper cites OMNI: Open-endedness via models of human notions of interestingness.

Automated Capability Discovery via Foundation Model Self-Exploration OMNI: Open-endedness via models of human notions of interestingness

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-08T12:17:55.396678Z

Source-reported events for the cited work

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Observation 581416d0-8fde-4b87-b306-f3f688081ee3 · outbound

This paper cites Task Me Anything.

Automated Capability Discovery via Foundation Model Self-Exploration Task Me Anything

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-08T12:17:55.400212Z

Source-reported events for the cited work

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Observation eb4eab0b-f3c0-481f-8fae-dd7fa27e7778 · outbound

This paper cites Auto arena of llms: Automating llm evaluations with agent peer-battles and committee discussions, 2024.

Automated Capability Discovery via Foundation Model Self-Exploration Auto arena of llms: Automating llm evaluations with agent peer-battles and committee discussions, 2024

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-08T12:17:55.404739Z

Source-reported events for the cited work

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Observation 3e1e07a1-fe67-4809-a705-9de12d4c84af · outbound

This paper cites ALI-Agent: Assessing LLMs' Alignment with Human Values via Agent-based Evaluation.

Automated Capability Discovery via Foundation Model Self-Exploration ALI-Agent: Assessing LLMs' Alignment with Human Values via Agent-based Evaluation

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-08T12:17:55.408540Z

Source-reported events for the cited work

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Observation 2bf03b91-2e82-4960-8961-65541588651e · outbound

This paper cites Xing, Hao Zhang, Joseph E.

Automated Capability Discovery via Foundation Model Self-Exploration Xing, Hao Zhang, Joseph E

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-08T12:17:55.412479Z

Source-reported events for the cited work

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Observation 98ceddcf-4721-4f45-a2c9-a4139ad2d918 · outbound

This paper cites Autoredteamer: An autonomous red teaming agent against language models, 2024.

Automated Capability Discovery via Foundation Model Self-Exploration Autoredteamer: An autonomous red teaming agent against language models, 2024

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-08T12:17:55.416784Z

Source-reported events for the cited work

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Observation ffb450d2-df90-4b18-9933-f04b013d0295 · outbound

This paper cites DyVal: Dynamic Evaluation of Large Language Models for Reasoning Tasks.

Automated Capability Discovery via Foundation Model Self-Exploration DyVal: Dynamic Evaluation of Large Language Models for Reasoning Tasks

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-08T12:17:55.420540Z

Source-reported events for the cited work

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Observation 8e33750d-6b68-44b2-9609-41f82f9c33da · outbound

This paper cites an unresolved cited work.

Automated Capability Discovery via Foundation Model Self-Exploration Unresolved cited work

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-08T12:17:55.425559Z

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Observation 82e051df-2a97-45e3-9ad8-bea97ce78142 · outbound

This paper cites an unresolved cited work.

Automated Capability Discovery via Foundation Model Self-Exploration Unresolved cited work

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-08T12:17:55.429465Z

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Observation 8600d390-2370-465a-b7b9-91b4fa589aa4 · outbound

This paper cites surprising.

Automated Capability Discovery via Foundation Model Self-Exploration surprising

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-08T12:17:55.433219Z

Source-reported events for the cited work

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Observation 7d18d4fe-e219-4600-a86f-5fbf29fee68b · outbound

This paper cites an unresolved cited work.

Automated Capability Discovery via Foundation Model Self-Exploration Unresolved cited work

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-08T12:17:55.437132Z

Source-reported events for the cited work

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Observation 4b78bdae-7292-4251-a570-72700856bc5d · outbound

This paper cites surprisingness.

Automated Capability Discovery via Foundation Model Self-Exploration surprisingness

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-08T12:17:55.441047Z

Source-reported events for the cited work

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Observation 12c5a12c-331a-46ed-bd95-f62d7dfab404 · outbound

This paper cites an unresolved cited work.

Automated Capability Discovery via Foundation Model Self-Exploration Unresolved cited work

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-08T12:17:55.444723Z

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Observation a6602017-392f-4045-8266-89eefb31899f · outbound

This paper cites an unresolved cited work.

Automated Capability Discovery via Foundation Model Self-Exploration Unresolved cited work

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-08T12:17:55.448461Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 70694968-ceb9-4865-8ff6-9a3cc470aaeb · outbound

This paper cites Provide your response in the following format: Transformed Text: [Your transformed text] GPT-4o’s Response: Transformed Text: Dog.

Automated Capability Discovery via Foundation Model Self-Exploration Provide your response in the following format: Transformed Text: [Your transformed text] GPT-4o’s Response: Transformed Text: Dog

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-08T12:17:55.451969Z

Source-reported events for the cited work

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Observation 93b37064-8b36-40ae-b614-e3602271c549 · outbound

This paper cites an unresolved cited work.

Automated Capability Discovery via Foundation Model Self-Exploration Unresolved cited work

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-08T12:17:55.455935Z

Source-reported events for the cited work

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Observation c79a7841-72eb-4033-8d79-d0ab529f2c85 · outbound

This paper cites an unresolved cited work.

Automated Capability Discovery via Foundation Model Self-Exploration Unresolved cited work

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-08T12:17:55.459664Z

Source-reported events for the cited work

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Observation aba0208b-2ced-4e82-ad38-a29049fa8113 · outbound

This paper cites From the tallest mountain to the deepest sea, I keep you grounded, who am I to thee?.

Automated Capability Discovery via Foundation Model Self-Exploration From the tallest mountain to the deepest sea, I keep you grounded, who am I to thee?

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-08T12:17:55.463332Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7fd390be-d632-47e4-a85f-70d4acffb457 · outbound

This paper cites Provide a clear and logical solution that adheres to the constraints specified in the description.

Automated Capability Discovery via Foundation Model Self-Exploration Provide a clear and logical solution that adheres to the constraints specified in the description

Reference 88

Resolution: unresolved; no resolver link, observed 2026-08-08T12:17:55.468105Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d1f40f89-801f-43e9-b026-da20ca809ea1 · outbound

This paper cites • Each player is dealt 5 cards.

Automated Capability Discovery via Foundation Model Self-Exploration • Each player is dealt 5 cards

Reference 89

Resolution: unresolved; no resolver link, observed 2026-08-08T12:17:55.473077Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 32d848db-2b8c-473f-89a9-520e917c24f2 · outbound

This paper cites an unresolved cited work.

Automated Capability Discovery via Foundation Model Self-Exploration Unresolved cited work

Reference 90

Resolution: unresolved; no resolver link, observed 2026-08-08T12:17:55.477681Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2cbb5424-4fc5-41ea-9bab-76b0eb9267db · outbound

This paper cites • On your turn, play a card matching the rank or suit of the top discard.

Automated Capability Discovery via Foundation Model Self-Exploration • On your turn, play a card matching the rank or suit of the top discard

Reference 91

Resolution: unresolved; no resolver link, observed 2026-08-08T12:17:55.481598Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f36a4906-1a9e-44d3-809a-336f66f55ec0 · outbound

This paper cites • Kings (K): Skip the next player’s turn.

Automated Capability Discovery via Foundation Model Self-Exploration • Kings (K): Skip the next player’s turn

Reference 92

Resolution: unresolved; no resolver link, observed 2026-08-08T12:17:55.486562Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0d086bdb-158f-487e-a080-8777122cbada · outbound

This paper cites • If the draw pile is exhausted, reshuffle the discard pile to continue.

Automated Capability Discovery via Foundation Model Self-Exploration • If the draw pile is exhausted, reshuffle the discard pile to continue

Reference 93

Resolution: unresolved; no resolver link, observed 2026-08-08T12:17:55.490755Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fd39aad3-0031-42fb-ac85-413acc6c17e3 · outbound

This paper cites an unresolved cited work.

Automated Capability Discovery via Foundation Model Self-Exploration Unresolved cited work

Reference 94

Resolution: unresolved; no resolver link, observed 2026-08-08T12:17:55.495621Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f31c0201-5c07-4ff8-b112-9059e51ac0c3 · outbound

This paper cites an unresolved cited work.

Automated Capability Discovery via Foundation Model Self-Exploration Unresolved cited work

Reference 95

Resolution: unresolved; no resolver link, observed 2026-08-08T12:17:55.499218Z

Source-reported events for the cited work

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Observation 2efb8ae5-840d-4b85-9055-9828c12a0cbe · outbound

This paper cites an unresolved cited work.

Automated Capability Discovery via Foundation Model Self-Exploration Unresolved cited work

Reference 96

Resolution: unresolved; no resolver link, observed 2026-08-08T12:17:55.502982Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eedb35d8-68f8-4217-acf9-330c593c6b33 · outbound

This paper cites an unresolved cited work.

Automated Capability Discovery via Foundation Model Self-Exploration Unresolved cited work

Reference 97

Resolution: unresolved; no resolver link, observed 2026-08-08T12:17:55.506847Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 80da8744-e389-4955-84c9-a71d259827c8 · outbound

This paper cites an unresolved cited work.

Automated Capability Discovery via Foundation Model Self-Exploration Unresolved cited work

Reference 98

Resolution: parse uncertain; no resolver link, observed 2026-08-08T12:17:55.510377Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de2695f0-8875-4fe8-bb91-14face433160 · outbound

This paper cites an unresolved cited work.

Automated Capability Discovery via Foundation Model Self-Exploration Unresolved cited work

Reference 99

Resolution: unresolved; no resolver link, observed 2026-08-08T12:17:55.513733Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fb4d818c-5ae3-4ed1-b1b9-705d54bf8380 · outbound

This paper cites an unresolved cited work.

Automated Capability Discovery via Foundation Model Self-Exploration Unresolved cited work

Reference 100

Resolution: unresolved; no resolver link, observed 2026-08-08T12:17:55.517167Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e2c2fab9-d2b0-4913-ac83-137496aa22b3 · outbound

This paper cites an unresolved cited work.

Automated Capability Discovery via Foundation Model Self-Exploration Unresolved cited work

Reference 101

Resolution: unresolved; no resolver link, observed 2026-08-08T12:17:55.521197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fca090aa-bba8-4ea6-aba8-4911331fb490 · outbound

This paper cites an unresolved cited work.

Automated Capability Discovery via Foundation Model Self-Exploration Unresolved cited work

Reference 102

Resolution: unresolved; no resolver link, observed 2026-08-08T12:17:55.524518Z

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Coverage vector

Reference resolution

Outbound references

Pith citing papers