Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-02T04:49:53.313650Z
Paper Citation Record · LEDGER
As of 12 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 0 inbound Pith citation observations for arXiv:2607.14169.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-02T04:49:53.313650Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
51 of 51 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation a08c8498-409b-4f6d-801d-90137fd332c2 · outbound
When a Verified World Model Still Loses: Play-Adequacy vs Prediction-Accuracy in LLM-Synthesized Code World Models Proceedings of the Fifth
Reference 1
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Observation b789ba2f-bb8f-4ff9-9317-5e3931024713 · outbound
When a Verified World Model Still Loses: Play-Adequacy vs Prediction-Accuracy in LLM-Synthesized Code World Models and Powley, Edward J
Reference 2
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Observation c07fe982-4046-4f8a-8592-aecb09ccb3ca · outbound
When a Verified World Model Still Loses: Play-Adequacy vs Prediction-Accuracy in LLM-Synthesized Code World Models Artificial Intelligence , year =
Reference 3
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Observation ab37374e-f2b6-49f7-8eae-7d237bd4b61b · outbound
When a Verified World Model Still Loses: Play-Adequacy vs Prediction-Accuracy in LLM-Synthesized Code World Models Proceedings of the 40th International Conference on Machine Learning (ICML) , series =
Reference 4
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Observation 990d7ae4-586c-4607-90f5-62e3dc438e3a · outbound
When a Verified World Model Still Loses: Play-Adequacy vs Prediction-Accuracy in LLM-Synthesized Code World Models 2025 , eprint =
Reference 5
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Observation 5a24ac42-bbfa-4595-a257-b8614a219f9c · outbound
When a Verified World Model Still Loses: Play-Adequacy vs Prediction-Accuracy in LLM-Synthesized Code World Models International Conference on Learning Representations (ICLR) , year =
Reference 6
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Observation 631ddfaf-24a1-4632-9737-245a9c64681e · outbound
When a Verified World Model Still Loses: Play-Adequacy vs Prediction-Accuracy in LLM-Synthesized Code World Models Advances in Neural Information Processing Systems (NeurIPS) , year =
Reference 7
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Observation 58822b52-d109-48fe-9bbf-260f122be6b9 · outbound
When a Verified World Model Still Loses: Play-Adequacy vs Prediction-Accuracy in LLM-Synthesized Code World Models and Wilson, Robert , title =
Reference 8
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Observation 93404d4c-8d6e-4241-ad6b-7552ece7c8f5 · outbound
When a Verified World Model Still Loses: Play-Adequacy vs Prediction-Accuracy in LLM-Synthesized Code World Models and Amos, Brandon and Yadan, Omry and Calandra, Roberto , title =
Reference 9
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Observation 669606e4-a544-45ff-9601-0a373e768679 · outbound
Reference 10
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Observation 416fd1d1-f4d8-4a83-9750-eca3ccf3865e · outbound
When a Verified World Model Still Loses: Play-Adequacy vs Prediction-Accuracy in LLM-Synthesized Code World Models Unresolved cited work
Reference 11
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Observation 839ee7ac-448b-4102-b88e-9ef98e5d7b7c · outbound
When a Verified World Model Still Loses: Play-Adequacy vs Prediction-Accuracy in LLM-Synthesized Code World Models and Buro, Michael and Furtak, Timothy , title =
Reference 12
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Observation 9a2ea178-31cf-4a44-9087-1f6c0538c330 · outbound
When a Verified World Model Still Loses: Play-Adequacy vs Prediction-Accuracy in LLM-Synthesized Code World Models Bandit Based
Reference 13
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Observation f0896862-df1c-443e-8a4d-eca1ec53ee86 · outbound
When a Verified World Model Still Loses: Play-Adequacy vs Prediction-Accuracy in LLM-Synthesized Code World Models and Kroese, Dirk P
Reference 14
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Observation 88876546-eeb8-4e38-9ff2-9118e4104aa1 · outbound
When a Verified World Model Still Loses: Play-Adequacy vs Prediction-Accuracy in LLM-Synthesized Code World Models A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning , booktitle =
Reference 15
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Observation 1639b703-a795-4568-8eec-f85ddd769f81 · outbound
When a Verified World Model Still Loses: Play-Adequacy vs Prediction-Accuracy in LLM-Synthesized Code World Models Games and Economic Behavior , year =
Reference 16
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Observation 559dbf33-d793-4c54-a6ec-60d5814d2f9f · outbound
When a Verified World Model Still Loses: Play-Adequacy vs Prediction-Accuracy in LLM-Synthesized Code World Models and Cowling, Peter I
Reference 17
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Observation 5f5d348d-f331-4e3a-b9e5-0e9a5ae309df · outbound
When a Verified World Model Still Loses: Play-Adequacy vs Prediction-Accuracy in LLM-Synthesized Code World Models Advances in Neural Information Processing Systems (NeurIPS) , year =
Reference 18
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Observation 59125297-2a13-4420-9e78-e6915e6fddaf · outbound
When a Verified World Model Still Loses: Play-Adequacy vs Prediction-Accuracy in LLM-Synthesized Code World Models Advances in Neural Information Processing Systems 22 (NeurIPS) , year =
Reference 19
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Observation fb0225ab-5f87-48c9-9389-f3702abce21c · outbound
When a Verified World Model Still Loses: Play-Adequacy vs Prediction-Accuracy in LLM-Synthesized Code World Models Unresolved cited work
Reference 21
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Observation c295ef76-6ff2-400a-aa79-37d24fd38e1c · outbound
When a Verified World Model Still Loses: Play-Adequacy vs Prediction-Accuracy in LLM-Synthesized Code World Models Proceedings of the 21st Conference on Uncertainty in Artificial Intelligence (UAI) , pages =
Reference 22
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Observation 52c1bc15-1622-4085-b4b8-0bf78200413a · outbound
When a Verified World Model Still Loses: Play-Adequacy vs Prediction-Accuracy in LLM-Synthesized Code World Models 2020 , howpublished =
Reference 23
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Observation 6fcbdfb5-143b-47d6-85e8-c57ac4a7a0b5 · outbound
Reference 24
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Observation e951c716-eb0f-4f40-9a6a-f4001b8b7d45 · outbound
When a Verified World Model Still Loses: Play-Adequacy vs Prediction-Accuracy in LLM-Synthesized Code World Models International Journal of Game Theory , volume =
Reference 25
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Observation 6464f302-0277-4768-9510-7438cfad19aa · outbound
When a Verified World Model Still Loses: Play-Adequacy vs Prediction-Accuracy in LLM-Synthesized Code World Models Efficient Selectivity and Backup Operators in Monte-Carlo Tree Search , booktitle =
Reference 26
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Observation b1c25643-d408-4d65-8816-cd52578818f3 · outbound
When a Verified World Model Still Loses: Play-Adequacy vs Prediction-Accuracy in LLM-Synthesized Code World Models QuickCheck : A lightweight tool for random testing of Haskell programs
Reference 27
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Observation 451d433b-8029-4b4c-82e9-e06904f8baa3 · outbound
When a Verified World Model Still Loses: Play-Adequacy vs Prediction-Accuracy in LLM-Synthesized Code World Models Efficient selectivity and backup operators in monte-carlo tree search
Reference 28
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Observation 34eb9347-8d41-4256-aaad-963a311fb89f · outbound
When a Verified World Model Still Loses: Play-Adequacy vs Prediction-Accuracy in LLM-Synthesized Code World Models Cowling, Edward J
Reference 29
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Observation 2debac21-781f-4b34-a02f-a0df8ddd319a · outbound
When a Verified World Model Still Loses: Play-Adequacy vs Prediction-Accuracy in LLM-Synthesized Code World Models Unresolved cited work
Reference 30
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Observation 5e96df13-185a-43bc-bd90-54835154a0ed · outbound
When a Verified World Model Still Loses: Play-Adequacy vs Prediction-Accuracy in LLM-Synthesized Code World Models Search in games with incomplete information: A case study using Bridge card play
Reference 31
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Observation adcbeb28-ed16-449b-8b47-35d2d98564db · outbound
When a Verified World Model Still Loses: Play-Adequacy vs Prediction-Accuracy in LLM-Synthesized Code World Models PAL : Program-aided language models
Reference 32
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Observation 67d44391-cc50-4654-bbe0-24eba5012690 · outbound
When a Verified World Model Still Loses: Play-Adequacy vs Prediction-Accuracy in LLM-Synthesized Code World Models Dream to control: Learning behaviors by latent imagination
Reference 33
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Observation d656ac6f-3a2c-43e3-a7cb-b8e526a41838 · outbound
When a Verified World Model Still Loses: Play-Adequacy vs Prediction-Accuracy in LLM-Synthesized Code World Models When to trust your model: Model-based policy optimization
Reference 34
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Observation a36d94ca-5e4b-43b9-b76b-dc3bb109f69c · outbound
When a Verified World Model Still Loses: Play-Adequacy vs Prediction-Accuracy in LLM-Synthesized Code World Models Bandit based Monte - Carlo planning
Reference 35
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Observation e955f46f-c4e2-4df0-b37b-6cae61302546 · outbound
When a Verified World Model Still Loses: Play-Adequacy vs Prediction-Accuracy in LLM-Synthesized Code World Models Kreps and Robert Wilson
Reference 36
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Observation 50a502b3-9df9-4818-9d0c-b6ca32f37d61 · outbound
When a Verified World Model Still Loses: Play-Adequacy vs Prediction-Accuracy in LLM-Synthesized Code World Models Unresolved cited work
Reference 37
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Observation 8dfa4569-5f99-4803-818f-ae431aab7089 · outbound
When a Verified World Model Still Loses: Play-Adequacy vs Prediction-Accuracy in LLM-Synthesized Code World Models Objective Mismatch in Model-based Reinforcement Learning
Reference 38
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Observation 318fb0a1-9800-4189-bfac-da69c9135031 · outbound
When a Verified World Model Still Loses: Play-Adequacy vs Prediction-Accuracy in LLM-Synthesized Code World Models Monte C arlo sampling for regret minimization in extensive games
Reference 39
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Observation ddfd0668-18a5-4cbc-b197-30f3d2629cfa · outbound
When a Verified World Model Still Loses: Play-Adequacy vs Prediction-Accuracy in LLM-Synthesized Code World Models Unresolved cited work
Reference 40
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Observation b622a031-fb5f-42ad-abb0-357837896b46 · outbound
When a Verified World Model Still Loses: Play-Adequacy vs Prediction-Accuracy in LLM-Synthesized Code World Models Code as policies: Language model programs for embodied control
Reference 41
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Observation 7222e103-ff31-44fd-984a-26fa58ca7f70 · outbound
When a Verified World Model Still Loses: Play-Adequacy vs Prediction-Accuracy in LLM-Synthesized Code World Models Sturtevant, Michael Buro, and Timothy Furtak
Reference 42
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Observation 9f944f8b-f741-4bd0-912e-6364878de602 · outbound
When a Verified World Model Still Loses: Play-Adequacy vs Prediction-Accuracy in LLM-Synthesized Code World Models Gordon, and J
Reference 43
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Observation 6980bfc1-d8ef-4679-985f-ec8fbb42d6ea · outbound
When a Verified World Model Still Loses: Play-Adequacy vs Prediction-Accuracy in LLM-Synthesized Code World Models Rubinstein and Dirk P
Reference 44
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Observation 763a0896-22df-4d0b-8792-0887149068a2 · outbound
When a Verified World Model Still Loses: Play-Adequacy vs Prediction-Accuracy in LLM-Synthesized Code World Models Reexamination of the perfectness concept for equilibrium points in extensive games
Reference 45
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Observation 26e4f685-982f-4039-8309-520940f0ff0f · outbound
When a Verified World Model Still Loses: Play-Adequacy vs Prediction-Accuracy in LLM-Synthesized Code World Models Bayes' bluff: Opponent modelling in poker
Reference 46
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Observation 952e3f0e-f6b8-4717-b477-ca4c8df9a231 · outbound
When a Verified World Model Still Loses: Play-Adequacy vs Prediction-Accuracy in LLM-Synthesized Code World Models Solving Large Imperfect Information Games Using CFR+
Reference 47
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Observation ce30cbe6-cec3-4f4d-927a-9af17869426e · outbound
When a Verified World Model Still Loses: Play-Adequacy vs Prediction-Accuracy in LLM-Synthesized Code World Models Measuring general intelligence with generated games, 2025
Reference 48
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Observation 3885c6af-94fa-4392-9424-c1eb4f62ac12 · outbound
When a Verified World Model Still Loses: Play-Adequacy vs Prediction-Accuracy in LLM-Synthesized Code World Models Efficient computation of behavior strategies
Reference 49
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Observation d0da33a4-1976-4b23-a7e3-bdb0c66a5fba · outbound
When a Verified World Model Still Loses: Play-Adequacy vs Prediction-Accuracy in LLM-Synthesized Code World Models Powley, and Peter I
Reference 50
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Observation b550cd60-edf2-4dbc-9b37-9346a5ee1d23 · outbound
When a Verified World Model Still Loses: Play-Adequacy vs Prediction-Accuracy in LLM-Synthesized Code World Models Unresolved cited work
Reference 51
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Observation 48866295-09fd-4395-8c05-8619465af171 · outbound
When a Verified World Model Still Loses: Play-Adequacy vs Prediction-Accuracy in LLM-Synthesized Code World Models Regret minimization in games with incomplete information
Reference 52
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No inbound Pith citation observations are available.