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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.

source=pdf_text observed=2026-08-06T20:08:13.387179Z digest=sha256:bfafbc59691d5177c5aba928776d89ed9f404727df7dc0fedbbfab6c77b931d1

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-reported events for the cited work

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source=pdf_text observed=2026-08-06T20:08:13.391048Z digest=sha256:19c74417fa8e16dd26e9edb3a4071d99ab0cb252b78a60a81ab99b5cbde334e8

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:08:13.395033Z digest=sha256:f45bd678ac0bcddeae8919e51f984ed45454d2f60af7c5f97d46c0992368aa01

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:08:13.398427Z digest=sha256:722cf2ef07023415eb31d7056d15c753ffaa3bf7051629d430cc1a0531d1e89e

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:08:13.402646Z digest=sha256:09dc620b1a8147e9dae64338cd1f2850f06465e56f0124056787faec4a088490

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:08:13.409660Z digest=sha256:16c09283b3756a930d601d42406ef129254b1e8b0d30b6996d4b6dc84bce2de5

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:08:13.413143Z digest=sha256:ace583f26765b116d07979addefd7e83007e08583ccf1bfa3e1254b9292500cc

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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no resolver link, observed 2026-08-06T20:08:13.416128Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:08:13.416128Z digest=sha256:9d956e92a645daf6685a7434bb759dc24582f77a49bcb38f0dcce7e2b34a68c9

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-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:08:13.419194Z digest=sha256:4486b59206b1ccfcac601275d6daa83c2d5b276e3c4f73d6154aca8b3b7df8f5

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

Resolution
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:c2b40ebc295410c31d48ff962432fccd3da863eb14418826a034620b87d6e595

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:08:13.427543Z digest=sha256:2613683cb14353770820d12667cb23c7dbe07ae21e5f9b589ec0febd9ef8b35c

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=sha256:7670db869f03295bd825f0b68e22a9641631e84cab1e0c3455e8bed2484c64d0

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:08:13.434449Z digest=sha256:56073a2fc16bcc7e15d693a38586daba6d1a0fa73a08d124aa9d457063fe1e61

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

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:08:13.437645Z digest=sha256:7e75bcfd0799cbc529c6e07f4f97c98f8495a8dbaa8e8dd913e6bcb1a8f201fc

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:08:13.440697Z digest=sha256:b251f4ac052c10d26711e6fb1f4ecff2e3921e7db9d55556cbeecc21f3bb7a39

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:08:13.443668Z digest=sha256:11c47c27715b6e3091fac83d3e69c5e238621573d06c300f2386cdf5bc59f298

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:d9ce9a2148fccdbede1070ca1518f44b207fc4225a6c30547fbd9aea33bac535

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

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:08:13.449655Z digest=sha256:bf3261f9b9c17f20fd491a0cdd6bdc670b5a0964f08c10af182bc7ebeac45e5d

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:08:13.452705Z digest=sha256:c7532ae18f82ab6aa91dabfe0680226dcd8e503d8fde8b02329164f80ad59a23

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:af64cd922b9948ad92a19dfe3ec195b2dd62a8111ec7633892bbfd7a9f0f125f

Pith citing papers

No inbound Pith citation observations are available.