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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 2026-08-15T06:32:42.880941+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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T14:42:08.641861Z digest=sha256:07a3cf5528abee050b56fe88836621379af192abf6a01c8230d03a9be0cc43c4

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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no resolver link, observed 2026-08-11T14:42:08.646733Z

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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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T14:42:08.651893Z digest=sha256:70c12747b1dc8d09ac931f3ad4fa177faf3cc184d1d0cab973b50e1777dfc516

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T14:42:08.656226Z digest=sha256:f9d48a5d412e7a893acbc0b910306eac30f80e4fafdcdfe28488b76cb1293382

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T14:42:08.660936Z digest=sha256:fa4ef0f1647f19d409b389e90eb4a96b67126fbf134a6eddd792da6b2569ef4b

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

Unavailable: canonical work link unavailable.

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T14:42:08.674131Z digest=sha256:1f4e606593b447adb60813b16f064beb1b0cab44abc53457ec81c6c515016bbf

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T14:42:08.678320Z digest=sha256:2ae37c922195dacfc9072d3500509cb0dcc9d2a3ce98a73c7e758e8860ed5a8d

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T14:42:08.682301Z digest=sha256:89ad2ed6a93f2f6ebbee5e113be6e4386c66e58b403a524ee9e3b82aa0063b41

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T14:42:08.686463Z digest=sha256:448ebc27c1948e83192e7e2570f013657c633858c5383d74d89fb04a1baa6ca7

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T14:42:08.690529Z digest=sha256:3780a92555ab4d3e1d35a40b5f28b23c3cf62741ef3d1b4916e14f68b93dbfc1

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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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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T14:42:08.694843Z digest=sha256:2f8eb8a60f99a923e0a9cae9e24ee48d70b03309e15bcbacd7f394e34b175a30

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T14:42:08.698909Z digest=sha256:abc876c2bf9f67bcc9ca26a3a49ad86f878d690501a1848b909f190111868d79

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T14:42:08.702833Z digest=sha256:6b4b48ea884ad3a4acadca49173b1024765964571bf7fc5259e3da52811c972b

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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no resolver link, observed 2026-08-11T14:42:08.720615Z

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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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T14:42:08.725316Z digest=sha256:da8a50879471a0e176331cc9e80443ab33bc477f440191408bb2422c6e044807

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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raw_fallback, observed 2026-08-11T14:42:09.239519Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T14:42:08.734067Z digest=sha256:23b566bd8638e98768118a5a391b1abcb28dfd2970dab9e53296bd6de48c8ab0

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T14:42:08.738622Z digest=sha256:2b63db6a4d8d22d0767b73f1b5f51b47c8641a741f9661e34a2904a1518d6f57

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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no resolver link, observed 2026-08-11T14:42:08.751270Z

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source=pdf_text observed=2026-08-11T14:42:08.751270Z digest=sha256:5343d411987cc18c4e5d1b6a2bb281924f1386acde02eebe29d8c9d35cad5170

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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Unavailable: canonical work link unavailable.

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T14:42:08.764740Z digest=sha256:3e4c310cf6f02c4e1a72744e013c5ca452a73d85c1a18046c6ff3b752ec39983

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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Unavailable: canonical work link unavailable.

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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verified fuzzy
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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T14:42:08.777417Z digest=sha256:c2ac71de60d32dd5c64b52ac4cb9cfdc333730c50e94f57e18206020c707d3b6

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T14:42:08.781251Z digest=sha256:cd8098df89544bcc62d9d323139fa98f54bff8e62d2c7a0d95f76a546362b894

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T14:42:08.789057Z digest=sha256:2e3bdb382fbb3ef4d440b5ea90672128f7095c3c5eda30de917e7cc146a9177c

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T14:42:08.792983Z digest=sha256:91bd50e5aa2d0b1015ce35f236a04b6017d0be85ceea75c04f68ae9beb5ebb56

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T14:42:08.797344Z digest=sha256:e7fe568a4ca7887c3b4d585d9ff29d8dff07cf2bb593fc49cb4d82da0a70a5aa

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T14:42:08.801295Z digest=sha256:d8f3fad894f7098d69789c533f9808fee84551b3f4498d7cf82fd465250782aa

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T14:42:08.805362Z digest=sha256:734c7b609f6322c783c65ac0089312d3d1d6e9478b84f7ffbe8525cc00bd6af1

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T14:42:08.809304Z digest=sha256:e2c55425765ab3a85ebd02232001e4256652adca85eb4f3f060b5831bc893b07

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T14:42:08.814379Z digest=sha256:8b5c398d03d16f510b31a3936bf57637f6e308c4741666d9cdbcd0bfa1fdd812

Pith citing papers

No inbound Pith citation observations are available.