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Paper Citation Record · LEDGER

ICM Out! Better Tournament Strategy from Computed Continuations, vs. Solvers and LLMs

As of 15 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 0 inbound Pith citation observations for arXiv:2608.09586.

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

pith.paper-citation-record.v1
2608.09586 v1

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T14:42:08.814379Z

measured 41 of 41 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+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

41 of 41 outbound references displayed

  • verified exact1
  • verified fuzzy22
  • unresolved18
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 92451f94-8720-4047-b76c-4dac168aeb94 · outbound

This paper cites Using counterfactual regret minimization to create competitive multiplayer poker agents.

ICM Out! Better Tournament Strategy from Computed Continuations, vs. Solvers and LLMs Using counterfactual regret minimization to create competitive multiplayer poker agents

Reference 1

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raw_fallback, observed 2026-08-11T14:42:09.457055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:42:08.641861Z digest=sha256:b3bd7b27f275ba3a9dce4c477188d920d80eb89838ff6646eff4225a559183fc

Observation ebbc12f4-477f-46b5-995b-7af06df0385b · outbound

This paper cites Qwen Technical Report.

ICM Out! Better Tournament Strategy from Computed Continuations, vs. Solvers and LLMs Qwen Technical Report

Reference 2

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:42:08.646733Z digest=sha256:231debe81d42b6dd097d8474a3e9cce4c15f8fffa0a370ce094d9394ac1aeaeb

Observation 8104436c-df10-4d73-b7a3-7071526909c4 · outbound

This paper cites Opponent modeling in poker.Aaai/iaai, 493(499):105, 1998.

ICM Out! Better Tournament Strategy from Computed Continuations, vs. Solvers and LLMs Opponent modeling in poker.Aaai/iaai, 493(499):105, 1998

Reference 3

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raw_fallback, observed 2026-08-11T14:42:09.434272Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:42:08.651893Z digest=sha256:e5d4b080fe86886e3edce900d3dc8588a5a7ff0d0fdc2cf06bc9d7b867b3270f

Observation db8fa8fc-518c-4c31-b169-ecec9cd05be3 · outbound

This paper cites Heads-up limit hold’em poker is solved.Science, 347(6218):145–149, 2015.

ICM Out! Better Tournament Strategy from Computed Continuations, vs. Solvers and LLMs Heads-up limit hold’em poker is solved.Science, 347(6218):145–149, 2015

Reference 4

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raw_fallback, observed 2026-08-11T14:42:09.413296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:42:08.656226Z digest=sha256:8ba13e35a11bb716e2d51a5a0b449323c3ba8fcb96ca59568c15413eed618fdc

Observation 555b44e2-ffb1-4a09-bdea-7213e88d0c0b · outbound

This paper cites an unresolved cited work.

ICM Out! Better Tournament Strategy from Computed Continuations, vs. Solvers and LLMs Unresolved cited work

Reference 5

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:42:08.660936Z digest=sha256:08a7ee701f219e6f9d3760a7b74a1572430ff6ac65b1c3378dd8d5e315e3fa39

Observation da256e99-6ba0-432b-86dd-b916bff978b6 · outbound

This paper cites Superhuman ai for heads-up no-limit poker: Libratus beats top professionals.Science, 359(6374):418–424, 2018.

ICM Out! Better Tournament Strategy from Computed Continuations, vs. Solvers and LLMs Superhuman ai for heads-up no-limit poker: Libratus beats top professionals.Science, 359(6374):418–424, 2018

Reference 6

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-11T14:42:08.665642Z digest=sha256:7c6efbc40bf85b4c8af4e66b586deac75db4dad4cdf76c5a28376ba99543e862

Observation b5aea766-2fea-497c-82c2-1b31a2325f2a · outbound

This paper cites Superhuman ai for multiplayer poker.Science, 365(6456): 885–890, 2019.

ICM Out! Better Tournament Strategy from Computed Continuations, vs. Solvers and LLMs Superhuman ai for multiplayer poker.Science, 365(6456): 885–890, 2019

Reference 7

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source=pdf_text observed=2026-08-11T14:42:08.670169Z digest=sha256:4e7bdd5623fd2ffc74f923afd13068fcf32d51c938d0dfac2ec0f1b8cb81ea8c

Observation 445b8e4c-f1e7-4583-85b1-7a58b6e9852d · outbound

This paper cites An investigation into tournament poker strategy using evolutionary algorithms.

ICM Out! Better Tournament Strategy from Computed Continuations, vs. Solvers and LLMs An investigation into tournament poker strategy using evolutionary algorithms

Reference 8

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raw_fallback, observed 2026-08-11T14:42:09.362546Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:42:08.674131Z digest=sha256:7db0972aacbb597d83ac9b6319ce9eb1acca4749395f0a5e1e7409a1b115a74a

Observation 93a48a4f-787f-46eb-aa80-7f606b763fb4 · outbound

This paper cites Gambler’s ruin and the icm.Statistical Science, 37(3): 289–305, 2022.

ICM Out! Better Tournament Strategy from Computed Continuations, vs. Solvers and LLMs Gambler’s ruin and the icm.Statistical Science, 37(3): 289–305, 2022

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:42:08.678320Z digest=sha256:3e35bb7546b966bd84b2230fff44da348b5c1cfcb9c36f3dfd4aedf509be7fef

Observation 61c0df4a-5cfc-4fc7-90ec-02cefcd715a3 · outbound

This paper cites Computing an approximate jam/fold equilibrium for 3-player no-limit texas hold’em tournaments.

ICM Out! Better Tournament Strategy from Computed Continuations, vs. Solvers and LLMs Computing an approximate jam/fold equilibrium for 3-player no-limit texas hold’em tournaments

Reference 10

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raw_fallback, observed 2026-08-11T14:42:09.333186Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:42:08.682301Z digest=sha256:61638935dc218aa50c058dc9ae328f03e221ce74fc09262640764adcb9463f77

Observation aeaca768-c12e-47d2-89d2-619b89c68ea4 · outbound

This paper cites Computing equilibria in multiplayer stochastic games of imperfect information.

ICM Out! Better Tournament Strategy from Computed Continuations, vs. Solvers and LLMs Computing equilibria in multiplayer stochastic games of imperfect information

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:42:08.686463Z digest=sha256:2582c3a9dc73a114d548d0da1cd57b11b36f5c750abc2e493467d6f2b000d4ed

Observation 9e60d6af-63cc-466a-821e-f0909279577c · outbound

This paper cites Successful nash equilibrium agent for a three-player imperfect-information game.Games, 9(2):33, 2018.

ICM Out! Better Tournament Strategy from Computed Continuations, vs. Solvers and LLMs Successful nash equilibrium agent for a three-player imperfect-information game.Games, 9(2):33, 2018

Reference 12

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raw_fallback, observed 2026-08-11T14:42:09.307322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:42:08.690529Z digest=sha256:06aa23cc07f509053359a8b304334db2848f23b2391ae6ddc8d05a3865d9b312

Observation 9de64015-0e0d-4ea4-a833-6221ec7aba8e · outbound

This paper cites Regret minimization in multiplayer extensive games.

ICM Out! Better Tournament Strategy from Computed Continuations, vs. Solvers and LLMs Regret minimization in multiplayer extensive games

Reference 13

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verified fuzzy
raw_fallback, observed 2026-08-11T14:42:09.293060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:42:08.694843Z digest=sha256:026a2d18cbfeb519ba1c2c0a77e3cfd08c11560add503bab8136393162e50182

Observation b0ecbb25-86f3-4e8e-940d-51c0fe8f59a7 · outbound

This paper cites On strategy stitching in large extensive form multiplayer games.Advances in Neural Information Processing Systems, 24, 2011.

ICM Out! Better Tournament Strategy from Computed Continuations, vs. Solvers and LLMs On strategy stitching in large extensive form multiplayer games.Advances in Neural Information Processing Systems, 24, 2011

Reference 14

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raw_fallback, observed 2026-08-11T14:42:09.279332Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:42:08.698909Z digest=sha256:47a4cc15990b1d92ca4fbc17a8602d6f60bf8547d4956642562b0da6da100025

Observation 8685ec5a-8c0d-4767-aa7a-219954e41e98 · outbound

This paper cites Lossless abstraction of imperfect information games.

ICM Out! Better Tournament Strategy from Computed Continuations, vs. Solvers and LLMs Lossless abstraction of imperfect information games

Reference 15

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raw_fallback, observed 2026-08-11T14:42:09.265811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:42:08.702833Z digest=sha256:95230aa20bb227b8a447419175104cd5a5b7ee8413ff040394e0d4cb97af83c2

Observation 2a7f78b1-fb7d-49e3-81aa-df599c66c61a · outbound

This paper cites The Llama 3 Herd of Models.

ICM Out! Better Tournament Strategy from Computed Continuations, vs. Solvers and LLMs The Llama 3 Herd of Models

Reference 16

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source=pdf_text observed=2026-08-11T14:42:08.706867Z digest=sha256:280cde4374edf5997483f4dd30a2a38366c6abc5670a4bdcd55e6f424047dd18

Observation 645798f7-707f-4981-b613-2984ad42c77f · outbound

This paper cites Suspicion-Agent: Playing Imperfect Information Games with Theory of Mind Aware GPT-4.

ICM Out! Better Tournament Strategy from Computed Continuations, vs. Solvers and LLMs Suspicion-Agent: Playing Imperfect Information Games with Theory of Mind Aware GPT-4

Reference 17

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source=pdf_text observed=2026-08-11T14:42:08.711588Z digest=sha256:94e7970e49be44b1a25b3949ab2764b9ac3426bdd1c82a8abba13bd23f7b5466

Observation 06b9a56b-1884-45a3-acc9-bf8b3b424d47 · outbound

This paper cites Are ChatGPT and GPT-4 Good Poker Players? -- A Pre-Flop Analysis.

ICM Out! Better Tournament Strategy from Computed Continuations, vs. Solvers and LLMs Are ChatGPT and GPT-4 Good Poker Players? -- A Pre-Flop Analysis

Reference 18

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source=pdf_text observed=2026-08-11T14:42:08.716128Z digest=sha256:4e5a66b310b3f31696721180b24d6da11704ae9f2abfa5b3751608dd54e2d083

Observation dd72abd1-5894-4dfd-a494-2f1a40e995db · outbound

This paper cites Harville.

ICM Out! Better Tournament Strategy from Computed Continuations, vs. Solvers and LLMs Harville

Reference 19

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source=pdf_text observed=2026-08-11T14:42:08.720615Z digest=sha256:2b6a790ed38bcbb91448b8f225a9434e33f37a5be1e9c4ea54c5fa8bcaa792b1

Observation c1a5dbff-1cab-4848-8ea4-6644c88d9e17 · outbound

This paper cites Effective short-term opponent exploitation in simplified poker.

ICM Out! Better Tournament Strategy from Computed Continuations, vs. Solvers and LLMs Effective short-term opponent exploitation in simplified poker

Reference 20

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raw_fallback, observed 2026-08-11T14:42:09.252297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:42:08.725316Z digest=sha256:23ac10d15c101564e2f0215303a76d009a9e71215048a4baf99d970ccf13becf

Observation f6659a7c-65de-4e93-9fe7-f73860e5310c · outbound

This paper cites PokerGPT: An End-to-End Lightweight Solver for Multi-Player Texas Hold'em via Large Language Model.

ICM Out! Better Tournament Strategy from Computed Continuations, vs. Solvers and LLMs PokerGPT: An End-to-End Lightweight Solver for Multi-Player Texas Hold'em via Large Language Model

Reference 21

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source=pdf_text observed=2026-08-11T14:42:08.729768Z digest=sha256:d1ff383b8cbf79aa56ab20954e4181d4a3c2297d1663451360e3487cc5d8ee7e

Observation 3afad752-d7f1-4608-bb94-00396b161d44 · outbound

This paper cites Empirical validation of the independent chip model.

ICM Out! Better Tournament Strategy from Computed Continuations, vs. Solvers and LLMs Empirical validation of the independent chip model

Reference 22

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:42:08.734067Z digest=sha256:0f08df37b0cf6379ae34039825bd5763e5108d086cbef8d718c0aa686f6bde15

Observation cdd4baf0-9e4f-4dee-af24-0ccb26412840 · outbound

This paper cites Leslie and Edmund J.

ICM Out! Better Tournament Strategy from Computed Continuations, vs. Solvers and LLMs Leslie and Edmund J

Reference 23

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doi, observed 2026-08-11T14:42:08.854511Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:42:08.738622Z digest=sha256:190511e62937ce237b240607b22e661999104f9dbbea9924fee6ddcf58c82432

Observation e10bde8c-8ad5-43b3-b7fa-c454248f4ea8 · outbound

This paper cites Efficient online pruning and abstraction for imperfect information extensive-form games.

ICM Out! Better Tournament Strategy from Computed Continuations, vs. Solvers and LLMs Efficient online pruning and abstraction for imperfect information extensive-form games

Reference 24

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source=pdf_text observed=2026-08-11T14:42:08.742791Z digest=sha256:9000380c22d56ed34c69095c6d116847f2f2297323797ad9b529d553c111abbc

Observation 4542a7ca-1ac6-48c5-ab56-9017b9700303 · outbound

This paper cites Agents that certify their own exploits: Confidence-scheduled restricted responses for safe opponent exploitation, 2026.

ICM Out! Better Tournament Strategy from Computed Continuations, vs. Solvers and LLMs Agents that certify their own exploits: Confidence-scheduled restricted responses for safe opponent exploitation, 2026

Reference 25

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source=pdf_text observed=2026-08-11T14:42:08.746950Z digest=sha256:9e551a759a2c546ea9ccff92bc243737598e48ee28374b5dafd8060055afa7e9

Observation 57c47e4f-f770-4f69-ba25-2880d6b85310 · outbound

This paper cites Effective, Efficient, and General Information Abstraction for Imperfect-Information Extensive-Form Games.

ICM Out! Better Tournament Strategy from Computed Continuations, vs. Solvers and LLMs Effective, Efficient, and General Information Abstraction for Imperfect-Information Extensive-Form Games

Reference 26

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source=pdf_text observed=2026-08-11T14:42:08.751270Z digest=sha256:b68aab927eb123bca25a5f6d212373fcb9bfb6f0f2d38fe65cda3a8a904a115d

Observation c42c7e8c-aded-4e39-bf01-c6e6d243c804 · outbound

This paper cites Real-Time Parallel Counterfactual Regret Minimization.

ICM Out! Better Tournament Strategy from Computed Continuations, vs. Solvers and LLMs Real-Time Parallel Counterfactual Regret Minimization

Reference 27

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no resolver link, observed 2026-08-11T14:42:08.756158Z

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source=pdf_text observed=2026-08-11T14:42:08.756158Z digest=sha256:0f7a6198b39d7139befc643c3c20bfb573e716103ba7462b18f8201520e44c57

Observation 70f2bcfd-f940-443a-a8a6-76e93aaa7d42 · outbound

This paper cites Rl-cfr: improving action abstraction for imperfect information extensive-form games with reinforcement learning.

ICM Out! Better Tournament Strategy from Computed Continuations, vs. Solvers and LLMs Rl-cfr: improving action abstraction for imperfect information extensive-form games with reinforcement learning

Reference 28

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no resolver link, observed 2026-08-11T14:42:08.760622Z

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source=pdf_text observed=2026-08-11T14:42:08.760622Z digest=sha256:44047a65b9c713a3196402f2eb2481d83a490ff928e8815c667d458f03d3bbb0

Observation aba6dcf3-39c9-4c9c-9fd4-aff9c475dc31 · outbound

This paper cites Av-aivat: 74x cheaper agent evaluation with certified anytime-valid stopping in imperfect-information games, 2026.

ICM Out! Better Tournament Strategy from Computed Continuations, vs. Solvers and LLMs Av-aivat: 74x cheaper agent evaluation with certified anytime-valid stopping in imperfect-information games, 2026

Reference 29

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raw_fallback, observed 2026-08-11T14:42:09.200315Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:42:08.764740Z digest=sha256:dc0bcffa180eea2b1214278c7ccc515b13557051483348cebb922e24870d71df

Observation 7cdb1697-16a4-4ed5-92fd-fa8fa0b16af2 · outbound

This paper cites Correlated Chance Sampling for Monte Carlo Counterfactual Regret Minimization.

ICM Out! Better Tournament Strategy from Computed Continuations, vs. Solvers and LLMs Correlated Chance Sampling for Monte Carlo Counterfactual Regret Minimization

Reference 30

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:42:08.768689Z digest=sha256:809d581b0b1d9a49a2073e804daf0a502de0c917e86a71b933de30ef4c404d77

Observation fd10e974-c237-4300-9ee8-3136a9e0382d · outbound

This paper cites PokerSkill: LLMs Can Play Expert-Level Poker without Training or Solvers.

ICM Out! Better Tournament Strategy from Computed Continuations, vs. Solvers and LLMs PokerSkill: LLMs Can Play Expert-Level Poker without Training or Solvers

Reference 31

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no resolver link, observed 2026-08-11T14:42:08.773037Z

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source=pdf_text observed=2026-08-11T14:42:08.773037Z digest=sha256:1a1dca31632dde6213895d7dd11792f849892314a07a5df6ddd26bbced72adee

Observation f2e5f1f2-6afb-476e-b2a5-973b4d98c88a · outbound

This paper cites Two Plus Two Publishing LLC, 1999.

ICM Out! Better Tournament Strategy from Computed Continuations, vs. Solvers and LLMs Two Plus Two Publishing LLC, 1999

Reference 32

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raw_fallback, observed 2026-08-11T14:42:09.184537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:42:08.777417Z digest=sha256:21e044057d7bcd9716c061369a93e019ac465c60581f462bad9a8e9de03a0236

Observation d68f1aba-f4bc-4f22-a7f8-9142b1ca8054 · outbound

This paper cites A near-optimal strategy for a heads-up no-limit texas hold’em poker tournament.

ICM Out! Better Tournament Strategy from Computed Continuations, vs. Solvers and LLMs A near-optimal strategy for a heads-up no-limit texas hold’em poker tournament

Reference 33

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raw_fallback, observed 2026-08-11T14:42:09.171777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:42:08.781251Z digest=sha256:ddcc15dee7cfb8300e1a6e6b627ff85ff0751bac9ecb68d9b6d488ba987d5be1

Observation 81cac631-bea6-4076-bca3-3af04909b1b8 · outbound

This paper cites Deepstack: Expert-level artificial intelligence in heads-up no-limit poker.Science, 356(6337):508–513, 2017.

ICM Out! Better Tournament Strategy from Computed Continuations, vs. Solvers and LLMs Deepstack: Expert-level artificial intelligence in heads-up no-limit poker.Science, 356(6337):508–513, 2017

Reference 34

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:42:08.785054Z digest=sha256:c69ae51927650ba9f5c9e86c4d7fbb42714dcfd8cb0eeff62b84c7cdaaead625

Observation b1fc7824-d886-4c6e-8150-769417c45d5c · outbound

This paper cites The state of solving large incomplete-information games, and application to poker.Ai Magazine, 31(4):13–32, 2010.

ICM Out! Better Tournament Strategy from Computed Continuations, vs. Solvers and LLMs The state of solving large incomplete-information games, and application to poker.Ai Magazine, 31(4):13–32, 2010

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:42:09.152299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:42:08.789057Z digest=sha256:cd29f9b7702ac280e01dda74262802173690b8aeb26d0a90223a1b472b60eb56

Observation 531aebf8-e7f0-491d-b50b-9c39ea2e2db7 · outbound

This paper cites an unresolved cited work.

ICM Out! Better Tournament Strategy from Computed Continuations, vs. Solvers and LLMs Unresolved cited work

Reference 36

Resolution
unresolved
raw_fallback, observed 2026-08-11T14:42:09.139908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:42:08.792983Z digest=sha256:9a7802ca83a1132184dad7a5018a2153cd53a6c7e8e725d36703950319e12065

Observation 0edc583e-2236-426e-86c1-e36c3253d764 · outbound

This paper cites Two Plus Two Publishing LLC, 2007.

ICM Out! Better Tournament Strategy from Computed Continuations, vs. Solvers and LLMs Two Plus Two Publishing LLC, 2007

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:42:09.126188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:42:08.797344Z digest=sha256:4cab75777d7c6cd172bc567a247805fbe8d9bdb78d8baa70e0cd0d658122625e

Observation d3c8c3aa-3d8e-463e-ac21-8eff0a7a6dba · outbound

This paper cites Two Plus Two Publishing, 1994.

ICM Out! Better Tournament Strategy from Computed Continuations, vs. Solvers and LLMs Two Plus Two Publishing, 1994

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:42:09.109300Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:42:08.801295Z digest=sha256:9bef8da068a071d51d0470935e81df4f47449fff99c8977ed57cec0dcadb0432

Observation 24b5d762-86ed-44a1-a2e8-5c81d334a12e · outbound

This paper cites Bayes’ bluff: opponent modelling in poker.

ICM Out! Better Tournament Strategy from Computed Continuations, vs. Solvers and LLMs Bayes’ bluff: opponent modelling in poker

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:42:09.095944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:42:08.805362Z digest=sha256:2ed43e4aa00c3abc59927a3b0f3c4a7b52ca9ec687cabcddc53975dada887431

Observation aa73b4b3-76ff-4e1e-9ceb-775f6449f4b5 · outbound

This paper cites A parameterized family of equilibrium profiles for three-player kuhn poker.

ICM Out! Better Tournament Strategy from Computed Continuations, vs. Solvers and LLMs A parameterized family of equilibrium profiles for three-player kuhn poker

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:42:09.082832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:42:08.809304Z digest=sha256:556a181b3b5f77f5994a94fcc38b0270b1642206e802f1a6430ce1cd9b9fd092

Observation a684ce09-e746-4da9-b4d5-c5973ba33fa7 · outbound

This paper cites Regret mini- mization in games with incomplete information.Advances in neural information processing systems, 20, 2007.

ICM Out! Better Tournament Strategy from Computed Continuations, vs. Solvers and LLMs Regret mini- mization in games with incomplete information.Advances in neural information processing systems, 20, 2007

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:42:09.070349Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T14:42:08.814379Z digest=sha256:349fe49c34e7907338dc45150bc9d3d3c2e9206fec4f91094a3fcb3f05ec2a6f

Pith citing papers

No inbound Pith citation observations are available.