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Paper Citation Record · LEDGER

When a Verified World Model Still Loses: Play-Adequacy vs Prediction-Accuracy in LLM-Synthesized Code World Models

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.

pith.paper-citation-record.v1
2607.14169 v2

Coverage vector

measured 51 of 51 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T04:49:53.313650Z

measured 51 of 51 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

51 of 51 outbound references displayed

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  • verified fuzzy0
  • unresolved51
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a08c8498-409b-4f6d-801d-90137fd332c2 · outbound

This paper cites Proceedings of the Fifth.

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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source=arxiv_source observed=2026-08-02T04:49:47.430794Z digest=sha256:7d4c608c79226a9ea43a3621d9068bd87c2e003bbc85f951831a292d0369f2bb

Observation b789ba2f-bb8f-4ff9-9317-5e3931024713 · outbound

This paper cites and Powley, Edward J.

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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source=arxiv_source observed=2026-08-02T04:49:47.506146Z digest=sha256:6c61273dc98d9c71a6a6076696395e09fe3c1887ace3cef0b3af19f23e1874bc

Observation c07fe982-4046-4f8a-8592-aecb09ccb3ca · outbound

This paper cites Artificial Intelligence , year =.

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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source=arxiv_source observed=2026-08-02T04:49:47.630876Z digest=sha256:22e67e9afa573d6d70a522bddc7252f5dd74b1663c215b35d06734fcc64f5811

Observation ab37374e-f2b6-49f7-8eae-7d237bd4b61b · outbound

This paper cites Proceedings of the 40th International Conference on Machine Learning (ICML) , series =.

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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source=arxiv_source observed=2026-08-02T04:49:47.821985Z digest=sha256:c15338225dd04be51e394425e1752c513c6a12868cb57b6744ce96472e1c681b

Observation 990d7ae4-586c-4607-90f5-62e3dc438e3a · outbound

This paper cites 2025 , eprint =.

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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source=arxiv_source observed=2026-08-02T04:49:48.034106Z digest=sha256:9e241495dd7154baa4450094b9ccae525b09e319a4c72fbe294329cccd5a0569

Observation 5a24ac42-bbfa-4595-a257-b8614a219f9c · outbound

This paper cites International Conference on Learning Representations (ICLR) , year =.

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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source=arxiv_source observed=2026-08-02T04:49:48.181970Z digest=sha256:1b2f7bb65f6c2143743729f10cdedf970a743aa535eb7a15adc50c3e5235c648

Observation 631ddfaf-24a1-4632-9737-245a9c64681e · outbound

This paper cites Advances in Neural Information Processing Systems (NeurIPS) , year =.

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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source=arxiv_source observed=2026-08-02T04:49:48.354942Z digest=sha256:be7588873ef5b8d8d41f3b9da4169d727a9b75365f53bb272f67435740b3307c

Observation 58822b52-d109-48fe-9bbf-260f122be6b9 · outbound

This paper cites and Wilson, Robert , title =.

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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source=arxiv_source observed=2026-08-02T04:49:48.522556Z digest=sha256:3f9c1770390bf9656dc5d71b97b17d009331b25585cd80615bb7e522eca3bb39

Observation 93404d4c-8d6e-4241-ad6b-7552ece7c8f5 · outbound

This paper cites and Amos, Brandon and Yadan, Omry and Calandra, Roberto , title =.

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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source=arxiv_source observed=2026-08-02T04:49:48.683232Z digest=sha256:fad1309dd1af27394287f57d5589748dd771652bc0400009f093c103e9d082a4

Observation 669606e4-a544-45ff-9601-0a373e768679 · outbound

This paper cites , title =.

When a Verified World Model Still Loses: Play-Adequacy vs Prediction-Accuracy in LLM-Synthesized Code World Models , title =

Reference 10

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source=arxiv_source observed=2026-08-02T04:49:48.843837Z digest=sha256:07c22814475b524cbf73b3a5f85cd5916839b8065e699baba3ea8e49e28bb7a8

Observation 416fd1d1-f4d8-4a83-9750-eca3ccf3865e · outbound

This paper cites an unresolved cited work.

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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source=arxiv_source observed=2026-08-02T04:49:48.980606Z digest=sha256:23c2f30829839ebcaa9753bbb2bd2185e5ff0d497ad3ef7fed9f00dc64cfc4b8

Observation 839ee7ac-448b-4102-b88e-9ef98e5d7b7c · outbound

This paper cites and Buro, Michael and Furtak, Timothy , title =.

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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source=arxiv_source observed=2026-08-02T04:49:49.097232Z digest=sha256:d51ff53076594fee948eead2e162897dc470cd67ccda1d982658dd626cdc9341

Observation 9a2ea178-31cf-4a44-9087-1f6c0538c330 · outbound

This paper cites Bandit Based.

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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source=arxiv_source observed=2026-08-02T04:49:49.179467Z digest=sha256:a72f79b24c0dc5ab060cdd82aff1a3c030eb65ac66ae25bc93a892835a566684

Observation f0896862-df1c-443e-8a4d-eca1ec53ee86 · outbound

This paper cites and Kroese, Dirk P.

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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source=arxiv_source observed=2026-08-02T04:49:49.291320Z digest=sha256:d40e1bd2d0fc5ea49e109debf6d6bddcc92b52df6f53eb6a351feb7a8b6f6e85

Observation 88876546-eeb8-4e38-9ff2-9118e4104aa1 · outbound

This paper cites A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning , booktitle =.

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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source=arxiv_source observed=2026-08-02T04:49:49.406053Z digest=sha256:0c041f4b42cc64fea05a1880bd877333b260773d3e65e6ee12d4b3ee79672d3c

Observation 1639b703-a795-4568-8eec-f85ddd769f81 · outbound

This paper cites Games and Economic Behavior , year =.

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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source=arxiv_source observed=2026-08-02T04:49:49.510622Z digest=sha256:e20008875fced8d84a5e83b5d508adc25bff14a344cd824656336dff09f651d8

Observation 559dbf33-d793-4c54-a6ec-60d5814d2f9f · outbound

This paper cites and Cowling, Peter I.

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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source=arxiv_source observed=2026-08-02T04:49:49.606805Z digest=sha256:7d29eb0e0da17d841acb35cf581fa6477c31d37cacf91dd2d737222dd707094b

Observation 5f5d348d-f331-4e3a-b9e5-0e9a5ae309df · outbound

This paper cites Advances in Neural Information Processing Systems (NeurIPS) , year =.

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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no resolver link, observed 2026-08-02T04:49:49.675626Z

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source=arxiv_source observed=2026-08-02T04:49:49.675626Z digest=sha256:8a3b0e9d3e9f4f7559da69e446e6de15616fd2f16b164fea0bf4fc5c5e677202

Observation 59125297-2a13-4420-9e78-e6915e6fddaf · outbound

This paper cites Advances in Neural Information Processing Systems 22 (NeurIPS) , year =.

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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source=arxiv_source observed=2026-08-02T04:49:49.836577Z digest=sha256:9a2737baa648c827c7df8e5bfecfe135469fdb50ade314112479c904d4212400

Observation fb0225ab-5f87-48c9-9389-f3702abce21c · outbound

This paper cites an unresolved cited work.

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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source=arxiv_source observed=2026-08-02T04:49:50.035197Z digest=sha256:dd471201e2891e443f1cd7c1867afbb6c5bb66962806e7b4817d749b0b42ee17

Observation c295ef76-6ff2-400a-aa79-37d24fd38e1c · outbound

This paper cites Proceedings of the 21st Conference on Uncertainty in Artificial Intelligence (UAI) , pages =.

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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source=arxiv_source observed=2026-08-02T04:49:50.127048Z digest=sha256:8928464ca63508b00ab122e2b52b5b62db662ea73c7e0cd518bc65b56805ebee

Observation 52c1bc15-1622-4085-b4b8-0bf78200413a · outbound

This paper cites 2020 , howpublished =.

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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source=arxiv_source observed=2026-08-02T04:49:50.219786Z digest=sha256:0e2e694f440580292b5bfde523b08b88b751e31dab3179ec5f9c01baba8a021a

Observation 6fcbdfb5-143b-47d6-85e8-c57ac4a7a0b5 · outbound

This paper cites , title =.

When a Verified World Model Still Loses: Play-Adequacy vs Prediction-Accuracy in LLM-Synthesized Code World Models , title =

Reference 24

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source=arxiv_source observed=2026-08-02T04:49:50.303415Z digest=sha256:3c3cf907c6895b9144b484f724538788e2ab7cc90a5b96ed892fc62bc0a50a2b

Observation e951c716-eb0f-4f40-9a6a-f4001b8b7d45 · outbound

This paper cites International Journal of Game Theory , volume =.

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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source=arxiv_source observed=2026-08-02T04:49:50.393635Z digest=sha256:5754d5f95e682415a72b8f3e953b6971a6ddeee33e90c5d3e1f4a24c8ed45cf3

Observation 6464f302-0277-4768-9510-7438cfad19aa · outbound

This paper cites Efficient Selectivity and Backup Operators in Monte-Carlo Tree Search , booktitle =.

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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source=arxiv_source observed=2026-08-02T04:49:50.477012Z digest=sha256:95d82db82732157b4b8315d161cd58c57fbe9d80717ad62cc0f1fdc01e77e4e0

Observation b1c25643-d408-4d65-8816-cd52578818f3 · outbound

This paper cites QuickCheck : A lightweight tool for random testing of Haskell programs.

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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source=arxiv_source observed=2026-08-02T04:49:50.617464Z digest=sha256:0715e86910c9245ef39afcee9e81f47cf363e7d5f1d9eb6ca9e15ebce83b772b

Observation 451d433b-8029-4b4c-82e9-e06904f8baa3 · outbound

This paper cites Efficient selectivity and backup operators in monte-carlo tree search.

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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source=arxiv_source observed=2026-08-02T04:49:50.734010Z digest=sha256:42456642de00068fa0216ef8a00fe3c48f71c896b7b3d85df4b78525f4048145

Observation 34eb9347-8d41-4256-aaad-963a311fb89f · outbound

This paper cites Cowling, Edward J.

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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source=arxiv_source observed=2026-08-02T04:49:50.907339Z digest=sha256:4e9e8bf5764515f1b24fbd0c529de5bfafd6b00fffcb4073999dc85d7d17de0c

Observation 2debac21-781f-4b34-a02f-a0df8ddd319a · outbound

This paper cites an unresolved cited work.

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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no resolver link, observed 2026-08-02T04:49:51.031464Z

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source=arxiv_source observed=2026-08-02T04:49:51.031464Z digest=sha256:0cc6b5e2d681adc993b4e39c5bed947275c4d3a9694bd38a62aae8745deef32d

Observation 5e96df13-185a-43bc-bd90-54835154a0ed · outbound

This paper cites Search in games with incomplete information: A case study using Bridge card play.

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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source=arxiv_source observed=2026-08-02T04:49:51.070472Z digest=sha256:734af4abfd54bd7f3f595452b14c29572729e8287c8f841b5098a9b2c8c5c728

Observation adcbeb28-ed16-449b-8b47-35d2d98564db · outbound

This paper cites PAL : Program-aided language models.

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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source=arxiv_source observed=2026-08-02T04:49:51.135604Z digest=sha256:003d66de17bd43ff7c051aa5a40835c7ef2e5f78fcccf783b41c55eb4005d325

Observation 67d44391-cc50-4654-bbe0-24eba5012690 · outbound

This paper cites Dream to control: Learning behaviors by latent imagination.

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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source=arxiv_source observed=2026-08-02T04:49:51.213089Z digest=sha256:efd8495caa36382eefa69dcfa4f0b922fa5e7c66e16cec8b89847bc13c5c5c86

Observation d656ac6f-3a2c-43e3-a7cb-b8e526a41838 · outbound

This paper cites When to trust your model: Model-based policy optimization.

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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source=arxiv_source observed=2026-08-02T04:49:51.292820Z digest=sha256:f1885a67cc42341170abd1caaf46ab5714d1f05e438ece9f719cc2beada6b7b9

Observation a36d94ca-5e4b-43b9-b76b-dc3bb109f69c · outbound

This paper cites Bandit based Monte - Carlo planning.

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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source=arxiv_source observed=2026-08-02T04:49:51.407327Z digest=sha256:6fe737ed81a0438f7cefc3f75aee2cd82fa89d95283c13e3e964da85133b8879

Observation e955f46f-c4e2-4df0-b37b-6cae61302546 · outbound

This paper cites Kreps and Robert Wilson.

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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source=arxiv_source observed=2026-08-02T04:49:51.481916Z digest=sha256:2018fcb7eae4f9c07da268c8f6318b344d16224166ab5f14135395dcc0c1f426

Observation 50a502b3-9df9-4818-9d0c-b6ca32f37d61 · outbound

This paper cites an unresolved cited work.

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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source=arxiv_source observed=2026-08-02T04:49:51.590327Z digest=sha256:afeac9f67b5d4e984db43a71c171d6f26a461c268190e8f8e6f9cc736f0219e9

Observation 8dfa4569-5f99-4803-818f-ae431aab7089 · outbound

This paper cites Objective Mismatch in Model-based Reinforcement Learning.

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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no resolver link, observed 2026-08-02T04:49:51.783589Z

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source=arxiv_source observed=2026-08-02T04:49:51.783589Z digest=sha256:9acd9a1eb573b895fd670206b153a7a9d74d15fa51f15d20db907429eadbf97d

Observation 318fb0a1-9800-4189-bfac-da69c9135031 · outbound

This paper cites Monte C arlo sampling for regret minimization in extensive games.

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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no resolver link, observed 2026-08-02T04:49:51.910609Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-02T04:49:51.910609Z digest=sha256:ae38dffef62ba5cb7f0dfe3c2e9dff09e03866e568fe3c0ae1710229b9bbcc49

Observation ddfd0668-18a5-4cbc-b197-30f3d2629cfa · outbound

This paper cites an unresolved cited work.

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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no resolver link, observed 2026-08-02T04:49:52.029922Z

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source=arxiv_source observed=2026-08-02T04:49:52.029922Z digest=sha256:a68477bbf7bdd4f22e73bf8ca4b888e811471989b9b359f8d98d7d260c815044

Observation b622a031-fb5f-42ad-abb0-357837896b46 · outbound

This paper cites Code as policies: Language model programs for embodied control.

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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no resolver link, observed 2026-08-02T04:49:52.165595Z

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source=arxiv_source observed=2026-08-02T04:49:52.165595Z digest=sha256:aeef9ddb02559ff1e6c46072c80a46f7dde4950cf00afb65ee2ad83d29da59f5

Observation 7222e103-ff31-44fd-984a-26fa58ca7f70 · outbound

This paper cites Sturtevant, Michael Buro, and Timothy Furtak.

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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no resolver link, observed 2026-08-02T04:49:52.355075Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-02T04:49:52.355075Z digest=sha256:a8beb84e347cc8875aec1897c29d6e2b90ae2ad69a876af49f0ffb5fbdf046e4

Observation 9f944f8b-f741-4bd0-912e-6364878de602 · outbound

This paper cites Gordon, and J.

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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no resolver link, observed 2026-08-02T04:49:52.509532Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-02T04:49:52.509532Z digest=sha256:a50c77664889258a5752c2a0f88ca727e284b9cdd6cbf01a655c2788f0c37cb7

Observation 6980bfc1-d8ef-4679-985f-ec8fbb42d6ea · outbound

This paper cites Rubinstein and Dirk P.

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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no resolver link, observed 2026-08-02T04:49:52.657623Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-02T04:49:52.657623Z digest=sha256:71d318a27c65cb62e3df737a87e79470539480ab7f6a8c4e6876175da0dacd91

Observation 763a0896-22df-4d0b-8792-0887149068a2 · outbound

This paper cites Reexamination of the perfectness concept for equilibrium points in extensive games.

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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unresolved
no resolver link, observed 2026-08-02T04:49:52.814930Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T04:49:52.814930Z digest=sha256:4759e062c63a694f49cb11d49e5f4168ff8f11684f93cd45f930fcab9cddef70

Observation 26e4f685-982f-4039-8309-520940f0ff0f · outbound

This paper cites Bayes' bluff: Opponent modelling in poker.

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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unresolved
no resolver link, observed 2026-08-02T04:49:52.941588Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T04:49:52.941588Z digest=sha256:f9b970aef3a0dbd68e7762ab5502a5e0befddb9ab7bc765b614dfbf4fc83f612

Observation 952e3f0e-f6b8-4717-b477-ca4c8df9a231 · outbound

This paper cites Solving Large Imperfect Information Games Using CFR+.

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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no resolver link, observed 2026-08-02T04:49:53.043833Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-02T04:49:53.043833Z digest=sha256:b6942eeb66e25fd222907fb9dca84dccefa68a35fe57226b0f5cec2a4849c11e

Observation ce30cbe6-cec3-4f4d-927a-9af17869426e · outbound

This paper cites Measuring general intelligence with generated games, 2025.

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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no resolver link, observed 2026-08-02T04:49:53.097230Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-02T04:49:53.097230Z digest=sha256:58e39c298c2343dce5eac7b7db31fb5a7f42a32bf377b0ab0f6d3b6a04d7812c

Observation 3885c6af-94fa-4392-9424-c1eb4f62ac12 · outbound

This paper cites Efficient computation of behavior strategies.

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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no resolver link, observed 2026-08-02T04:49:53.158888Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T04:49:53.158888Z digest=sha256:f526eb5752ec5c9786ff0e8fc04f505a17f521c658ee4a2c23f13b08e2a66612

Observation d0da33a4-1976-4b23-a7e3-bdb0c66a5fba · outbound

This paper cites Powley, and Peter I.

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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no resolver link, observed 2026-08-02T04:49:53.221891Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-02T04:49:53.221891Z digest=sha256:e89e7a0ed91c29c389c439007d1f5a3fe0738961e729f0ce00bc66f395785001

Observation b550cd60-edf2-4dbc-9b37-9346a5ee1d23 · outbound

This paper cites an unresolved cited work.

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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unresolved
no resolver link, observed 2026-08-02T04:49:53.258769Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T04:49:53.258769Z digest=sha256:1a15420354f4722370a1931069eb035129c85ace2124844b84b775096369ecf9

Observation 48866295-09fd-4395-8c05-8619465af171 · outbound

This paper cites Regret minimization in games with incomplete information.

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 resolver link, observed 2026-08-02T04:49:53.313650Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T04:49:53.313650Z digest=sha256:d66699694bd84e4ad9ffb55fd91f534481caff6069b4893bd7dcc8d32a687abc

Pith citing papers

No inbound Pith citation observations are available.