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Paper Citation Record · LEDGER

Can LLMs Play \^O \u{A}n Quan Game? A Study of Multi-Step Planning and Decision Making

As of 8 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 0 inbound Pith citation observations for arXiv:2507.03711.

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

pith.paper-citation-record.v1
2507.03711 v3

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:08:13.455606Z

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

21 of 21 outbound references displayed

  • verified exact1
  • verified fuzzy3
  • unresolved17
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 85e67c0e-4d90-40a2-8c00-2a3524da3044 · outbound

This paper cites Language mod- els are few-shot learners,.

Can LLMs Play \^O \u{A}n Quan Game? A Study of Multi-Step Planning and Decision Making Language mod- els are few-shot learners,

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation d2710108-ae97-4ee3-a910-eb7026104805 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Can LLMs Play \^O \u{A}n Quan Game? A Study of Multi-Step Planning and Decision Making LLaMA: Open and Efficient Foundation Language Models

Reference 2

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source=pdf_text observed=2026-08-06T20:08:13.391048Z digest=sha256:4a7ebcfe9c0ffc45a8e12b8f6e80d30e9bd7a630baa273ffadf93357312bdebd

Observation 28cae03e-e5a1-437a-b4ab-5cd838d0f9dc · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

Can LLMs Play \^O \u{A}n Quan Game? A Study of Multi-Step Planning and Decision Making Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 3

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source=pdf_text observed=2026-08-06T20:08:13.395033Z digest=sha256:875b0ae610df437d718e1933dddf0542e31dd47540c18fef3b69dacbe62b47be

Observation 0a64a1ee-c3dc-4a5d-a29c-a4b2e5dbff89 · outbound

This paper cites The Llama 3 Herd of Models.

Can LLMs Play \^O \u{A}n Quan Game? A Study of Multi-Step Planning and Decision Making The Llama 3 Herd of Models

Reference 4

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:08:13.398427Z digest=sha256:d5ffde11fe65c0fa8c31837d26fedafa5f8d26f178f3e7428d129c5bdf9a1632

Observation ccfd284d-aa31-43b5-b3e0-439d432a7dc7 · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

Can LLMs Play \^O \u{A}n Quan Game? A Study of Multi-Step Planning and Decision Making Gemini: A Family of Highly Capable Multimodal Models

Reference 5

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:08:13.402646Z digest=sha256:8b3039e0964d37b666fbe048bb40fa296de86e68e9fae4b48fdc534402422b72

Observation 53150508-b6c0-4c5d-b914-002693dce2ae · outbound

This paper cites Prompting large language model for machine translation: A case study,.

Can LLMs Play \^O \u{A}n Quan Game? A Study of Multi-Step Planning and Decision Making Prompting large language model for machine translation: A case study,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:08:13.900951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 6aee3340-d6f4-44c6-a4a2-9e7f5d2e152f · outbound

This paper cites Large Language Models Are State-of-the-Art Evaluators of Translation Quality.

Can LLMs Play \^O \u{A}n Quan Game? A Study of Multi-Step Planning and Decision Making Large Language Models Are State-of-the-Art Evaluators of Translation Quality

Reference 7

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:08:13.409660Z digest=sha256:1d91055b6d775ad8535410d947748064fe043051c34df1b218763dd503eb6d88

Observation e79642ac-de80-4a10-b637-e0fee4ed360d · outbound

This paper cites A comprehensive sur- vey on process-oriented automatic text summarization with exploration of llm-based methods,.

Can LLMs Play \^O \u{A}n Quan Game? A Study of Multi-Step Planning and Decision Making A comprehensive sur- vey on process-oriented automatic text summarization with exploration of llm-based methods,

Reference 8

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:08:13.413143Z digest=sha256:06151f48e369fdb50f42379ec6b2973b2f084d4fdaeed72d06e4d91ba9d4c6db

Observation d75cf273-eb5d-4c7d-aea5-cfb7b0b3646c · outbound

This paper cites Retrieval- augmented generation for knowledge-intensive nlp tasks,.

Can LLMs Play \^O \u{A}n Quan Game? A Study of Multi-Step Planning and Decision Making Retrieval- augmented generation for knowledge-intensive nlp tasks,

Reference 9

Resolution
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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:08:13.416128Z digest=sha256:29f0f7b2102ff24610b862f224c2370a2bfd3d3423d32f31758ea14e50e600df

Observation 31b361ed-14a7-459d-b21c-e4466e761a1a · outbound

This paper cites How Far Are We on the Decision-Making of LLMs? Evaluating LLMs' Gaming Ability in Multi-Agent Environments.

Can LLMs Play \^O \u{A}n Quan Game? A Study of Multi-Step Planning and Decision Making How Far Are We on the Decision-Making of LLMs? Evaluating LLMs' Gaming Ability in Multi-Agent Environments

Reference 10

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source=pdf_text observed=2026-08-06T20:08:13.419194Z digest=sha256:b66236162e72c22add7e406d3bbce6338c1042dfc1b4b4af2f80e2fa688fb9e6

Observation 44a8ddbe-89ce-4fc8-abf9-11da31d571b8 · outbound

This paper cites An Implementation of Werewolf Agent That does not Truly Trust LLMs.

Can LLMs Play \^O \u{A}n Quan Game? A Study of Multi-Step Planning and Decision Making An Implementation of Werewolf Agent That does not Truly Trust LLMs

Reference 11

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verified exact
local_arxiv, observed 2026-08-06T20:08:13.508759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T20:08:13.423262Z digest=sha256:0e34ff0f03043f2239ee1730609f6fdc6e43efe178af4831f2101fcd6d5648c0

Observation 5bdae3e1-c2b2-4d78-a084-937d495acbcd · outbound

This paper cites LLM-Based Agent Society Investigation: Collaboration and Confrontation in Avalon Gameplay.

Can LLMs Play \^O \u{A}n Quan Game? A Study of Multi-Step Planning and Decision Making LLM-Based Agent Society Investigation: Collaboration and Confrontation in Avalon Gameplay

Reference 12

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source=pdf_text observed=2026-08-06T20:08:13.427543Z digest=sha256:c7311e9f4f19afae48f089af5bb69488c3fcda436b8bf72ba1e1b006426fe0d9

Observation e1ca7281-e48e-41d3-af96-e8f2066547b4 · outbound

This paper cites Exploring Large Language Models for Word Games:Who is the Spy?.

Can LLMs Play \^O \u{A}n Quan Game? A Study of Multi-Step Planning and Decision Making Exploring Large Language Models for Word Games:Who is the Spy?

Reference 13

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source=pdf_text observed=2026-08-06T20:08:13.431051Z digest=sha256:f1864d2ed611af22e01fbcdca7d405427a95ba4eb39c3cac760d50578787c317

Observation d60d9ffa-8bb0-40ae-b742-8ae22dc5e4bd · outbound

This paper cites Theory of games and economic behavior: 60th anniversary commemorative edition,.

Can LLMs Play \^O \u{A}n Quan Game? A Study of Multi-Step Planning and Decision Making Theory of games and economic behavior: 60th anniversary commemorative edition,

Reference 14

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source=pdf_text observed=2026-08-06T20:08:13.434449Z digest=sha256:323f8d051ddeff4cc46ec14ea047221abfda99c8b20633ba90ca253109613615

Observation 0a6a7052-9252-4fbc-89df-ca67f7f88218 · outbound

This paper cites Mastering the game of go with deep neural networks and tree search,.

Can LLMs Play \^O \u{A}n Quan Game? A Study of Multi-Step Planning and Decision Making Mastering the game of go with deep neural networks and tree search,

Reference 15

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:08:13.437645Z digest=sha256:ce1ef350e69f22d0f67ff39194397f321972423b6fadfe6ab24f92dffe671da8

Observation eed82a2d-80af-4704-962c-9277c10c7633 · outbound

This paper cites A general reinforcement learning algorithm that masters chess, shogi, and go through self-play,.

Can LLMs Play \^O \u{A}n Quan Game? A Study of Multi-Step Planning and Decision Making A general reinforcement learning algorithm that masters chess, shogi, and go through self-play,

Reference 16

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no resolver link, observed 2026-08-06T20:08:13.440697Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:08:13.440697Z digest=sha256:c860a494e449640898805fdeddb4cb380c900a1b5d60f38c84b8af4d78930387

Observation 03b1234a-7f24-4318-9543-636808086017 · outbound

This paper cites Mastering the game of go without human knowledge,.

Can LLMs Play \^O \u{A}n Quan Game? A Study of Multi-Step Planning and Decision Making Mastering the game of go without human knowledge,

Reference 17

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source=pdf_text observed=2026-08-06T20:08:13.443668Z digest=sha256:f51e0ff51715d2d4f5d57b89092b4429bc49026c7e87f436d22a0d6bed11ee09

Observation c700f068-1ea5-4581-81e0-c23bcfa40027 · outbound

This paper cites Machine theory of mind,.

Can LLMs Play \^O \u{A}n Quan Game? A Study of Multi-Step Planning and Decision Making Machine theory of mind,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:08:13.860692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T20:08:13.446754Z digest=sha256:96cf1df63e16858ebae63c8a6d43c5f8809fab1306643e9c5a0af9a0d0d61877

Observation c85c4268-3f56-46cf-ab0e-d8923e2bb392 · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models,.

Can LLMs Play \^O \u{A}n Quan Game? A Study of Multi-Step Planning and Decision Making Chain-of-thought prompting elicits reasoning in large language models,

Reference 19

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:08:13.449655Z digest=sha256:575778c53e82471a99c76406214e33db782d0d5fae30d7c0424a635e0f05c64d

Observation 0e2d0e31-1711-4dc9-97b5-585e902a8835 · outbound

This paper cites React: Synergizing reasoning and acting in language models,.

Can LLMs Play \^O \u{A}n Quan Game? A Study of Multi-Step Planning and Decision Making React: Synergizing reasoning and acting in language models,

Reference 20

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source=pdf_text observed=2026-08-06T20:08:13.452705Z digest=sha256:ff517a5f1ebe8618b29f1bb5acc6e383db2fc98ba97b7dd2504421c98b67cff6

Observation e90eb7b0-d5f5-4520-8af3-a12ed6c07d8d · outbound

This paper cites Generative agents: Interactive simulacra of human behavior,.

Can LLMs Play \^O \u{A}n Quan Game? A Study of Multi-Step Planning and Decision Making Generative agents: Interactive simulacra of human behavior,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:08:13.838127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T20:08:13.455606Z digest=sha256:1e85baa9e40eb04740adcd0016e732cce405f915199c1dbfd443897c6332fa1f

Pith citing papers

No inbound Pith citation observations are available.