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Paper Citation Record · LEDGER

Automated Capability Discovery via Foundation Model Self-Exploration

As of 22 August 2026, this Paper Citation Record lists 100 of 193 outbound references and 2 inbound Pith citation observations for arXiv:2502.07577.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2502.07577 v3

Coverage vector

measured 100 of 193 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T12:17:55.524518Z

measured 102 of 102 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:48:21.596458Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T19:09:14.684210Z

Reference resolution

100 of 193 outbound references displayed

  • verified exact1
  • verified fuzzy0
  • unresolved97
  • parse uncertain1
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

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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source=pdf_text observed=2026-08-08T12:17:55.123304Z digest=sha256:dadc8919948a0360687f6994cb8d8c1ccdc2a021bb6f3ee39d03065181afa283

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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source=pdf_text observed=2026-08-08T12:17:55.127987Z digest=sha256:dea370136dd4f0a814f94c38f9ee4e55b38f8e3e8645a4ba3b36da5609d39412

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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no resolver link, observed 2026-08-08T12:17:55.131918Z

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source=pdf_text observed=2026-08-08T12:17:55.131918Z digest=sha256:80eb54d626b25ce2a6975f41a57ab2f9bb861fd95abf715fe215a497af66bb34

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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source=pdf_text observed=2026-08-08T12:17:55.136261Z digest=sha256:8e5b0f7b2d5dc8bcd8948a4f05d1543ca05f35dd1b3969d9f235d60fc7b7e968

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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source=pdf_text observed=2026-08-08T12:17:55.140327Z digest=sha256:00f575bd7feee1450b8a1570e25ab87781f80030192d605537e32bae449fcb19

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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source=pdf_text observed=2026-08-08T12:17:55.144202Z digest=sha256:491ec4048762f3410e2f2a1860aed4e40c90512a2e3fff47ba215d555111d85a

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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source=pdf_text observed=2026-08-08T12:17:55.148717Z digest=sha256:16ac1a7be9a533db24333f75e0d9018166a5b264b5d663a30fd73f96b1c727c1

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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source=pdf_text observed=2026-08-08T12:17:55.152253Z digest=sha256:794500270a5273fb57b61932ce704ab3ef375e5a105b70620fab5bad659eaf21

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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source=pdf_text observed=2026-08-08T12:17:55.156765Z digest=sha256:01bae1c277848ede85fd81ec2f00401eb0d095685ff6eec6140aa7318f9405ce

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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source=pdf_text observed=2026-08-08T12:17:55.160536Z digest=sha256:a01c357d00e53d53158e4bbcf057d53f4058b8abc1140b1459368d743008baef

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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source=pdf_text observed=2026-08-08T12:17:55.164392Z digest=sha256:61f439bc5634d3aebe0c4f41a6a65b0828ad3dc562a490eda77079e0703ee14b

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

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source=pdf_text observed=2026-08-08T12:17:55.169055Z digest=sha256:3afba7ca9c3cee01eadfcecd77877c2f0161423fdaf8dea8d0cdc3940146329f

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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source=pdf_text observed=2026-08-08T12:17:55.173285Z digest=sha256:d12481b7cdec6836aa104fac3c209a48b8265704b9b03cf90f8db65009f9d590

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

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source=pdf_text observed=2026-08-08T12:17:55.176790Z digest=sha256:dabfb7ed42b759444c41c0c3b2081c6c0802249c8611fbd6f487cd6556ca1d9d

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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source=pdf_text observed=2026-08-08T12:17:55.180732Z digest=sha256:30c5946c505681d6123689005d0cd6dd70b6d163e6057fa765561a4e904deeb8

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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source=pdf_text observed=2026-08-08T12:17:55.185609Z digest=sha256:e3ae496ee80b0cff1c341d652da9ed4f7dc9d6e9200b48b75d907b7a80697c6a

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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source=pdf_text observed=2026-08-08T12:17:55.193796Z digest=sha256:44c9ccb2e6f760cd592559f36b95f79fa6f5c8fb5ab5eaf5d913dd076e5f36cf

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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source=pdf_text observed=2026-08-08T12:17:55.198330Z digest=sha256:82239b86c7feaa4419b8fb2c8e0de83155c5bca37600fbfaedafcd34f24b45f0

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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source=pdf_text observed=2026-08-08T12:17:55.202899Z digest=sha256:b7e0b35b261b70acfae4c3700b9c360901dbc8bac0c414dcc8a64da3dddfe823

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

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source=pdf_text observed=2026-08-08T12:17:55.206535Z digest=sha256:841236c2c87ed27fafa1f80c13fca18f56ba8dc8c3a06403d352f0e86b73371b

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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source=pdf_text observed=2026-08-08T12:17:55.210079Z digest=sha256:5a9a551155d612b75e1f890d4f4aebf78215e0771d0457028d40acd12a553c42

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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source=pdf_text observed=2026-08-08T12:17:55.213592Z digest=sha256:fe55dec6a7a4bf16bb88de896630159b7021da630b51337b02e65d9e2c73dc2b

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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source=pdf_text observed=2026-08-08T12:17:55.217314Z digest=sha256:d98a2e9f004cb7550ca2406bd3c18fe35170302d29f4f903dc64ce24d5822d20

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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source=pdf_text observed=2026-08-08T12:17:55.221174Z digest=sha256:713b41aac0baa1b26121bb66930f81c0574ae6b76f1e6a5072b0d947ea21bcdb

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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source=pdf_text observed=2026-08-08T12:17:55.225001Z digest=sha256:979346b0eba9682d6b70095c053224144e4481179fd5b807156dbda87a44d560

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

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source=pdf_text observed=2026-08-08T12:17:55.228562Z digest=sha256:369da27c50a8f2d03864ff8cd1dac5df86eada580c2acb60ee21cd504d4a613b

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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source=pdf_text observed=2026-08-08T12:17:55.232411Z digest=sha256:db2ed3e88dc89e186f7b4ecbe0dabd652bd8414c720dd2fd7e6053a286502aa8

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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source=pdf_text observed=2026-08-08T12:17:55.236578Z digest=sha256:209a3a39fd30f753c7cc23ea13b145229466b35cebae9a33de6db6fdd5f66d58

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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source=pdf_text observed=2026-08-08T12:17:55.240180Z digest=sha256:20e78356419affd94e1ea2c9e4df5559307dbd44ba7fdcfbdb886658acf1ba4d

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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source=pdf_text observed=2026-08-08T12:17:55.243943Z digest=sha256:81e9761e284885756ae06fe2cb7fd758fc4de2c93d88af54c3ebb0dfd5b6024b

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

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source=pdf_text observed=2026-08-08T12:17:55.247433Z digest=sha256:463147df873dc39344b3c3d3ab44f4f781ee81477e5af56a850683894c568a2b

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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source=pdf_text observed=2026-08-08T12:17:55.252354Z digest=sha256:1f8f0d0d363ef8150510ce50f6842a3bda4f1f2de701f2d931c10e3a2cec9fb9

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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source=pdf_text observed=2026-08-08T12:17:55.256416Z digest=sha256:2c50929a61be037a4deb837412f4efd9051666484bc6ae7b0f6f2ca2f298c1db

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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source=pdf_text observed=2026-08-08T12:17:55.260097Z digest=sha256:009bf63b4618c797bccc60c55e54c83f60c76b6dbd1f3752b2b4afec726d87aa

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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source=pdf_text observed=2026-08-08T12:17:55.264542Z digest=sha256:1ce13afdae006a4682d70025c158d63439f5fd89f894ac135e46d4e2e7c6f909

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

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source=pdf_text observed=2026-08-08T12:17:55.268572Z digest=sha256:86eb7b975974d8556ea01b93bf19be0fc91036c2a076c258bf15137373dabc3b

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

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source=pdf_text observed=2026-08-08T12:17:55.272259Z digest=sha256:d7b6aefb60e83afb7d00b7b8947e08f919f1c637b52b198392c8401ffe20f54d

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

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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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source=pdf_text observed=2026-08-08T12:17:55.280600Z digest=sha256:3068994642ecce98fab700e13e4907b9fe94959740aae41445763e8fd5165184

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

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source=pdf_text observed=2026-08-08T12:17:55.285113Z digest=sha256:184aaddf471cbf65f069c79a3a206093596c60008dfbd0c176df44b46d60fe12

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

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source=pdf_text observed=2026-08-08T12:17:55.288814Z digest=sha256:8fca863389dc6d024053bf63028298371e5d3d46954f911107c546f5a97888ac

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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source=pdf_text observed=2026-08-08T12:17:55.293246Z digest=sha256:a7c58296b327b121817266f87c4a3f281b439422b0416c2d1a3e307a1031c973

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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source=pdf_text observed=2026-08-08T12:17:55.297446Z digest=sha256:5180acecfef368df50d12fcdf9080aa52a988f033c9f9be91d053b64f1cf0e24

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

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source=pdf_text observed=2026-08-08T12:17:55.301280Z digest=sha256:226720a252ce8d50999bb2b0ac8506ea95d60e420cdaa2ef06652317271c2d90

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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source=pdf_text observed=2026-08-08T12:17:55.305076Z digest=sha256:9f126446addec076ab773e43118c29e90a63448164bde6ca83c3ca85b367a1a0

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

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source=pdf_text observed=2026-08-08T12:17:55.309279Z digest=sha256:de1dce6362e658a6bdd40984bd2131942d9b2d84a6475e0a7c7e2563cc00796e

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

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source=pdf_text observed=2026-08-08T12:17:55.312824Z digest=sha256:cda9cf521c360336e76718a8624bddb5beed9630406a51a89cd1195d76dc1ab7

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

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source=pdf_text observed=2026-08-08T12:17:55.316577Z digest=sha256:8a48eb03a8373d09295d3069ec7203c98622e88dbc4da9010a5f7477b944ec2e

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

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source=pdf_text observed=2026-08-08T12:17:55.320232Z digest=sha256:80974a8850b3709da51ff860a4bf1dfe6b3ec92c5a076fc7ca856320adc5e922

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

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source=pdf_text observed=2026-08-08T12:17:55.323581Z digest=sha256:d9bba5bb8de312e5bc077d65d4d070dec3d12aa738220b2c276375e3c056545e

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

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source=pdf_text observed=2026-08-08T12:17:55.327124Z digest=sha256:d8d6c2632199fc0018b8f5f204fed5a2beb1f77e4b33b2c2723268da836a337e

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

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source=pdf_text observed=2026-08-08T12:17:55.334815Z digest=sha256:ce44d9a748dc85499bd09bbbf5c7ba4ecc2a20b18a575d628a941b6a86c8f8ab

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

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source=pdf_text observed=2026-08-08T12:17:55.338401Z digest=sha256:756b6c95cb7762182075bc9ae22682acf36c3530517dec689c94fab514dee5e3

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

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source=pdf_text observed=2026-08-08T12:17:55.342057Z digest=sha256:50a041b5027f70e21a921b25402311fc389ac682afaa3f3e8254d3e0637bc777

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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source=pdf_text observed=2026-08-08T12:17:55.345559Z digest=sha256:31bb0dbca50bbb3eeadc7b8811cf1b601b016849d7fd68332150dd03e4b2c645

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

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source=pdf_text observed=2026-08-08T12:17:55.349355Z digest=sha256:e94b8bfe7a019f34e03e7125b7ba11e31a8d39b34cece32a0cea81a82dd87766

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

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source=pdf_text observed=2026-08-08T12:17:55.352846Z digest=sha256:de3da6e7b68f646732ad801042b2ebbd3aaaa66641a352068e7b0bbaacd3c4f7

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

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-08T12:17:55.356427Z digest=sha256:212fa31ceff4431c5bec6114940ff4859fbfa687f0bbc2d779f1d5b1a885b247

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

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source=pdf_text observed=2026-08-08T12:17:55.360667Z digest=sha256:7dd07d5e2f244e3a8a07cff7c44bb8ff689e596c34d524cecdf04da8172eef38

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

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source=pdf_text observed=2026-08-08T12:17:55.364449Z digest=sha256:eaee5a18668092f0420c91ba980796126bcb600d6cdab713e5c183b0c3cfc125

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

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source=pdf_text observed=2026-08-08T12:17:55.368773Z digest=sha256:c6928a1912907f04e575bd2e5dfd77d8aaeee0ba97bff20ec0f6ca040c11d6b4

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

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source=pdf_text observed=2026-08-08T12:17:55.372688Z digest=sha256:ee86f5bd0038449427fefeac137882521942d5c304de5b59b81ba261efad2302

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

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source=pdf_text observed=2026-08-08T12:17:55.376763Z digest=sha256:83317ad935ec475c2f359c18f8c09179ea8a0ee3941874db685621d4220a5ac7

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

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source=pdf_text observed=2026-08-08T12:17:55.380271Z digest=sha256:22058e1b594ac78b979e51fc502444ecf6ee7a679858fb65f33580ecd4a78c27

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

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source=pdf_text observed=2026-08-08T12:17:55.384289Z digest=sha256:3ccd2fb978f12db7a6ecf32030abdeee2dbae33ebbd512edbbe82252ab2c8d51

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

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source=pdf_text observed=2026-08-08T12:17:55.388384Z digest=sha256:19a99fb04e165586222b2cbabca374fe6d088fc48122ed59149e6c0d5a5f513a

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

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source=pdf_text observed=2026-08-08T12:17:55.393001Z digest=sha256:6cdef3e46fa3b66eb5efcb3dedc795994b325956ccc358c18f55e4a4dea9ce22

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

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source=pdf_text observed=2026-08-08T12:17:55.396678Z digest=sha256:f6eb8fc88814ee3cb5f6fdd917d28d28f64c62318c19259a437d47402874c52c

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

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source=pdf_text observed=2026-08-08T12:17:55.400212Z digest=sha256:4767a6c8a618571219b3d442450bf9d87ccfcba0ea251b1f8cc6a202c41c4caa

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

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source=pdf_text observed=2026-08-08T12:17:55.404739Z digest=sha256:1bcfe6b614bd94c007a4d5df2a016dd8e790657102928fd304ffdc214a47ad9e

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

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source=pdf_text observed=2026-08-08T12:17:55.408540Z digest=sha256:3e38f9fb1046c822ffdb8d70967bb149f9188b037e8ddd6ac5def0b754569687

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

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source=pdf_text observed=2026-08-08T12:17:55.412479Z digest=sha256:7e220668d6cbd6184788026ebd4d71c9263004b5b3d9ccfe685e888da75cf554

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

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source=pdf_text observed=2026-08-08T12:17:55.416784Z digest=sha256:79c4d110ad273dccae83be50c7f08966c43b01bd6dfb40e782a9c9bf7df4e76b

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

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source=pdf_text observed=2026-08-08T12:17:55.420540Z digest=sha256:d0b7387ff665ec5040a6d438983b26d8b9128027212225e5b771f9788db66b32

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

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source=pdf_text observed=2026-08-08T12:17:55.425559Z digest=sha256:7c67b71e3bcd2804a9955aec00f4c16be3a5f5f1b453f9cc2cf182ffc901d778

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

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source=pdf_text observed=2026-08-08T12:17:55.429465Z digest=sha256:7d264b083b52ff6a35a9cb6d3689cbfaaf0a69afe34903cadbf0a7c2f01dff24

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

This paper cites surprising.

Automated Capability Discovery via Foundation Model Self-Exploration surprising

Reference 79

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source=pdf_text observed=2026-08-08T12:17:55.433219Z digest=sha256:8b285860d72018e3f4ee1bc78495b21a1a9ec97a4b16a91bb4b15c9d53aa91e0

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

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T12:17:55.437132Z digest=sha256:ee42537e204b6e04f26dbcaa52b5201132fcdcbaa8f2f949f4929dad8f8fc331

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

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T12:17:55.441047Z digest=sha256:ca9a20b5c7ed00146ceb74fed1253b5b2542cc6452b57c0c92b9dd32c463ce1a

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T12:17:55.444723Z digest=sha256:cb030f623ccad57cde863513811d3d8d75162e93a7bf2ba1e0fd9e38f33780df

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.

source=pdf_text observed=2026-08-08T12:17:55.448461Z digest=sha256:fdf18919f0c93988e8ad96d45beb6f68600819e71036dd3abaa399327d06f242

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

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T12:17:55.451969Z digest=sha256:5bab53bb640f0307f575cb35927c216616e8d044c9d11ad41b5e8d81c7eff867

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

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T12:17:55.455935Z digest=sha256:0141c46458414f1e726540c64a16797617f57404ab5fc77d90b98b4f90e6abd0

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

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T12:17:55.459664Z digest=sha256:e164fc2c57d6400025e3fd93c45b4c4b477f585a04bd6971ce61e63eaa5b22fa

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.

source=pdf_text observed=2026-08-08T12:17:55.463332Z digest=sha256:64113835f68774e0ac0ac6b2d5d45c41d10a25f7d296749f3cd920bab66c374c

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.

source=pdf_text observed=2026-08-08T12:17:55.468105Z digest=sha256:9b8fe15c22af9f78f4b34441ce32f3a07b0d2ae5f4735af5d2050fe2c9dc77c1

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.

source=pdf_text observed=2026-08-08T12:17:55.473077Z digest=sha256:653851b9aee642a9a53043099e60d9449563682e51482369de222ede849b0959

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.

source=pdf_text observed=2026-08-08T12:17:55.477681Z digest=sha256:bcc1b1e07f04c6309285aba96117ea3f567e4825022060bbf3099fbfe91fa02c

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.

source=pdf_text observed=2026-08-08T12:17:55.481598Z digest=sha256:cfcdfd6d1ecc88d609320ea9e96b7959772724cc1689f939ce6eca46b9a87c3e

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.

source=pdf_text observed=2026-08-08T12:17:55.486562Z digest=sha256:3ec32fcfc26c5efa9bb5ac883fa3fbe09a1731371afb1a3ddfbbd84b285352fd

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.

source=pdf_text observed=2026-08-08T12:17:55.490755Z digest=sha256:113b3b22e500663a100f50c76de8e495df25ee2881d970096ed53065eb0fc64d

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.

source=pdf_text observed=2026-08-08T12:17:55.495621Z digest=sha256:a14ced94c5c94bef229b9cb1bd3557358acda8cd3c9614efffdf81197e16721f

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

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T12:17:55.499218Z digest=sha256:96bb223c735f2471d9ba4f0f91eac0dc8eb9c14305cd4bc5969d578d005b44d3

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.

source=pdf_text observed=2026-08-08T12:17:55.502982Z digest=sha256:37a617146c1528f856422c30c93695cc832efb1087ee7baac9cddee08de01aee

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.

source=pdf_text observed=2026-08-08T12:17:55.506847Z digest=sha256:6ed9aea714a6b8bccfcba7cc5e67e9dc181f68c6a39fd8386217020c327365ed

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.

source=pdf_text observed=2026-08-08T12:17:55.510377Z digest=sha256:626646a3060cba92e386fded0ebfa0c41ff8c117e3cd56f33d17439a285b4dd6

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.

source=pdf_text observed=2026-08-08T12:17:55.513733Z digest=sha256:f16aff81e837dace506562fa51bdf305b5fefb2ef37f77d6e9a208c028307187

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.

source=pdf_text observed=2026-08-08T12:17:55.517167Z digest=sha256:6739bfdf67036f7138617f7d068888b80971c330793154bb478a1640c0930a03

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.

source=pdf_text observed=2026-08-08T12:17:55.521197Z digest=sha256:e2193c7b09fdd3736058032a265bf51446dddc024c43509e3af6402d6c83fd6a

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T12:17:55.524518Z digest=sha256:ad93837036ab2e253183477f0f7e7c18ebc65fad20e418d8f9102f68b1bdc180

Pith citing papers

Observation fcbf88b4-1c32-488f-aadd-e8cffc696712 · inbound

A Comprehensive Survey of Deep Research: Systems, Methodologies, and Applications cites this paper.

A Comprehensive Survey of Deep Research: Systems, Methodologies, and Applications Automated Capability Discovery via Foundation Model Self-Exploration

Reference 158

Resolution
unresolved
no resolver link, observed 2026-08-07T00:48:21.596458Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:48:21.596458Z digest=sha256:71e7c64c6cd128223365975e373b585ca6e79fa217b839094dfdbd4a9fc54909

Observation 590c72a9-9c88-4531-801e-7e8d20b6c179 · inbound

Foundation Model Self-Play: Open-Ended Strategy Innovation via Foundation Models cites this paper.

Foundation Model Self-Play: Open-Ended Strategy Innovation via Foundation Models Automated Capability Discovery via Foundation Model Self-Exploration

Reference 2025

Resolution
metadata mismatch
local_arxiv, observed 2026-08-06T19:09:14.779812Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T19:09:10.554126Z digest=sha256:f091e692e5a38d0a80a2d4da7422486b88f07a75e1993f781d64860d875b7811