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Paper Citation Record · LEDGER

Ethical Considerations of Large Language Models in Game Playing

As of 8 August 2026, this Paper Citation Record lists 69 of 69 outbound references and 1 inbound Pith citation observation for arXiv:2508.16065.

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

pith.paper-citation-record.v1
2508.16065 v1

Coverage vector

measured 69 of 69 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T17:36:13.952606Z

measured 70 of 70 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T00:51:15.271879Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

69 of 69 outbound references displayed

  • verified exact2
  • verified fuzzy51
  • unresolved15
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8bed1858-92aa-47e4-b6e4-5ff3a4762f89 · outbound

This paper cites DeepSeek LLM: Scaling Open-Source Language Models with Longtermism.

Ethical Considerations of Large Language Models in Game Playing DeepSeek LLM: Scaling Open-Source Language Models with Longtermism

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 49405d37-4932-4c15-9375-30763f92999a · outbound

This paper cites GPT-4 technical report, 2024.

Ethical Considerations of Large Language Models in Game Playing GPT-4 technical report, 2024

Reference 2

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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 fd12ad50-8d5f-43f2-93c9-837ef8543d75 · outbound

This paper cites ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools.

Ethical Considerations of Large Language Models in Game Playing ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools

Reference 3

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Observation b81b8c8f-683f-4563-91e6-fdd64eceb8e1 · outbound

This paper cites Large language models encode clinical knowledge.

Ethical Considerations of Large Language Models in Game Playing Large language models encode clinical knowledge

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:36:23.079221Z

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=2026-08-05T17:36:08.939603Z digest=sha256:9d03ae0855c3c643d0b7b657207b77e4489c4bf9498acc4b282abab1f3eb5dcc

Observation 989d9c09-b6f9-437e-9e44-89c79540709f · outbound

This paper cites Causal Reasoning and Large Language Models: Opening a New Frontier for Causality.

Ethical Considerations of Large Language Models in Game Playing Causal Reasoning and Large Language Models: Opening a New Frontier for Causality

Reference 5

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no resolver link, observed 2026-08-05T17:36:09.023928Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 8c9bf20b-fbb4-4411-8e6a-1efe7847e598 · outbound

This paper cites Large lan- guage models make sample-efficient recommender systems.

Ethical Considerations of Large Language Models in Game Playing Large lan- guage models make sample-efficient recommender systems

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:36:22.970364Z

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=2026-08-05T17:36:09.101282Z digest=sha256:b79508dc2dd22d6f882772894f9bd1bda5afdab786fb0c26a14031dfa94e32ea

Observation f825533d-4ca4-4db8-88c5-1caf410813ef · outbound

This paper cites Large language models and games: A survey and roadmap.

Ethical Considerations of Large Language Models in Game Playing Large language models and games: A survey and roadmap

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:36:22.899554Z

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=2026-08-05T17:36:09.118351Z digest=sha256:042cd0e635b9ba4d24d53e7bf9061c2781707d02aca3c45efcfa6a76243f1abc

Observation 41164795-054b-403e-87b9-915b9d68b272 · outbound

This paper cites A Survey of Large Language Models.

Ethical Considerations of Large Language Models in Game Playing A Survey of Large Language Models

Reference 8

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no resolver link, observed 2026-08-05T17:36:09.258718Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T17:36:09.258718Z digest=sha256:0e5f74fc037a7c81510b1770d75fa028803fe695cbf0c2895bc0a0f7da64d807

Observation 1431f461-9d7d-4e31-801f-e8750777760f · outbound

This paper cites Science in the age of large language models.

Ethical Considerations of Large Language Models in Game Playing Science in the age of large language models

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:36:22.769598Z

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=2026-08-05T17:36:09.384246Z digest=sha256:2ca612ff9706ba57b1739477fbf6ad974cfae7e915685ce2fd18e7dcf4723d3a

Observation 74fd707a-d388-47bf-9e36-a52e0bf8122a · outbound

This paper cites A Survey on Large Language Model-Based Game Agents.

Ethical Considerations of Large Language Models in Game Playing A Survey on Large Language Model-Based Game Agents

Reference 10

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no resolver link, observed 2026-08-05T17:36:09.518087Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T17:36:09.518087Z digest=sha256:6bdb94ed55b5ed5f68a4131f55035063d3cfc7a25e7d55124884b77522a99823

Observation 6ff8d9a4-526c-4953-8afc-ad0f580d8d01 · outbound

This paper cites Exploring Large Language Models for Communication Games: An Empirical Study on Werewolf.

Ethical Considerations of Large Language Models in Game Playing Exploring Large Language Models for Communication Games: An Empirical Study on Werewolf

Reference 11

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no resolver link, observed 2026-08-05T17:36:09.569620Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T17:36:09.569620Z digest=sha256:8ac5881a0e63b29788eeb1c2c7976d4da11f4e2b5d46df16eb4d9817fd0eb8dd

Observation 18518f2a-5e2e-40b3-81a5-03e5a4638494 · outbound

This paper cites Werewolf Among Us: Multimodal resources for modeling persuasion behaviors in social deduction games.

Ethical Considerations of Large Language Models in Game Playing Werewolf Among Us: Multimodal resources for modeling persuasion behaviors in social deduction games

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:36:22.643782Z

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 50cc41e1-7471-4de7-b620-aad9c7d0c33c · outbound

This paper cites Helmsman of the masses? evaluate the opinion lead- ership of large language models in the Werewolf game.

Ethical Considerations of Large Language Models in Game Playing Helmsman of the masses? evaluate the opinion lead- ership of large language models in the Werewolf game

Reference 13

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verified fuzzy
raw_fallback, observed 2026-08-05T17:36:22.479670Z

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=2026-08-05T17:36:09.748896Z digest=sha256:2eb0f533375f3726352c477612a82d0895c887f3eade431918940acd7c2d1b44

Observation 94a243f7-d979-476a-b1b9-61a4734eca98 · outbound

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

Ethical Considerations of Large Language Models in Game Playing LLM-Based Agent Society Investigation: Collaboration and Confrontation in Avalon Gameplay

Reference 14

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 86daf386-65c1-4179-8d1d-5c9c75f4ca84 · outbound

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

Ethical Considerations of Large Language Models in Game Playing How Far Are We on the Decision-Making of LLMs? Evaluating LLMs' Gaming Ability in Multi-Agent Environments

Reference 15

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 07c5e1dc-a961-4f2d-b28b-35216d2b37c9 · outbound

This paper cites A survey on multilingual large language models: Corpora, alignment, and bias.

Ethical Considerations of Large Language Models in Game Playing A survey on multilingual large language models: Corpora, alignment, and bias

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:36:22.330630Z

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 5993dd53-c2a6-4b9a-9700-3338648cd2b4 · outbound

This paper cites TrustLLM: Trustworthiness in Large Language Models.

Ethical Considerations of Large Language Models in Game Playing TrustLLM: Trustworthiness in Large Language Models

Reference 17

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no resolver link, observed 2026-08-05T17:36:10.163708Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 7d5c8095-de27-4fe1-9b49-2f768f747a56 · outbound

This paper cites A survey on large language model (LLM) security and privacy: The good, the bad, and the ugly.

Ethical Considerations of Large Language Models in Game Playing A survey on large language model (LLM) security and privacy: The good, the bad, and the ugly

Reference 19

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verified fuzzy
raw_fallback, observed 2026-08-05T17:36:22.183962Z

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 aa7fc4b3-90b5-49ed-8f04-bf12c01dcba4 · outbound

This paper cites Fairness in large language models: A tax- onomic survey.

Ethical Considerations of Large Language Models in Game Playing Fairness in large language models: A tax- onomic survey

Reference 20

Resolution
verified fuzzy
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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 816eaf79-dbe5-4d72-a408-4a5cc372d33a · outbound

This paper cites An overview of artificial intelli- gence ethics.

Ethical Considerations of Large Language Models in Game Playing An overview of artificial intelli- gence ethics

Reference 21

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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 e09192ee-c803-4367-9f3e-03dba89011f4 · outbound

This paper cites Per- turbation augmentation for fairer NLP.

Ethical Considerations of Large Language Models in Game Playing Per- turbation augmentation for fairer NLP

Reference 22

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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 8245a0be-e43a-4524-ace0-2d43c23ae43a · outbound

This paper cites Ethical and social risks of harm from Language Models.

Ethical Considerations of Large Language Models in Game Playing Ethical and social risks of harm from Language Models

Reference 23

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 04cd75af-b6ac-40be-b619-25d8b0487fc7 · outbound

This paper cites Improving LLM group fairness on tabular data via in-context learning.

Ethical Considerations of Large Language Models in Game Playing Improving LLM group fairness on tabular data via in-context learning

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:36:21.651766Z

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 4f20fa2b-c8be-47cf-a8a8-beb480b5c8bd · outbound

This paper cites Fairer machine learn- ing through multi-objective evolutionary learning.

Ethical Considerations of Large Language Models in Game Playing Fairer machine learn- ing through multi-objective evolutionary learning

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:36:21.528518Z

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 975f4366-d764-4c1c-a0d2-44f6da33245c · outbound

This paper cites Mitigating unfairness via evolutionary multiobjective ensemble learning.

Ethical Considerations of Large Language Models in Game Playing Mitigating unfairness via evolutionary multiobjective ensemble learning

Reference 26

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verified fuzzy
raw_fallback, observed 2026-08-05T17:36:21.410677Z

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 5c162faa-e77a-42d2-bfe9-a447ffe6f674 · outbound

This paper cites Fairness is essential for robustness: fair adversarial training by identifying and augmenting hard examples.

Ethical Considerations of Large Language Models in Game Playing Fairness is essential for robustness: fair adversarial training by identifying and augmenting hard examples

Reference 27

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verified fuzzy
raw_fallback, observed 2026-08-05T17:36:21.260561Z

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 c3bfc30d-64bb-4098-a249-512cd1aa955b · outbound

This paper cites Fairer machine learning through the hybrid of multi-objective evolutionary learning and adversarial learn- ing.

Ethical Considerations of Large Language Models in Game Playing Fairer machine learning through the hybrid of multi-objective evolutionary learning and adversarial learn- ing

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:36:21.035178Z

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 57526714-c995-4b38-a1de-f8c4e1c09d8d · outbound

This paper cites Ethical considerations and potential risks in the deployment of large language models in diverse societal contexts.

Ethical Considerations of Large Language Models in Game Playing Ethical considerations and potential risks in the deployment of large language models in diverse societal contexts

Reference 29

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verified fuzzy
raw_fallback, observed 2026-08-05T17:36:20.723512Z

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=2026-08-05T17:36:10.896945Z digest=sha256:0a1be6cbb84adfae61b269a8a58510a747c5cd632504359e27dbbd46fc553bd3

Observation db65ec45-df42-4663-8312-f637c1cdaec4 · outbound

This paper cites Consent-GPT: is it eth- ical to delegate procedural consent to conversational AI? Journal of Medical Ethics, 2024, 50(2): 77–83.

Ethical Considerations of Large Language Models in Game Playing Consent-GPT: is it eth- ical to delegate procedural consent to conversational AI? Journal of Medical Ethics, 2024, 50(2): 77–83

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:36:20.435316Z

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=2026-08-05T17:36:10.944068Z digest=sha256:906beaf84b81a410550e60743bd25468e02f3bd4b05f6c31c289ffaaa49e81c8

Observation cecc5f18-0c7a-4067-a514-790bf0a9fa5c · outbound

This paper cites Determinants of LLM-assisted Decision-Making.

Ethical Considerations of Large Language Models in Game Playing Determinants of LLM-assisted Decision-Making

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-05T17:36:10.971925Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation acdc83f8-0c98-4516-ad33-86154eb1358d · outbound

This paper cites RLupus: Cooperation through emer- gent communication in the Werewolf social deduction game.

Ethical Considerations of Large Language Models in Game Playing RLupus: Cooperation through emer- gent communication in the Werewolf social deduction game

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:36:20.176834Z

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=2026-08-05T17:36:11.053071Z digest=sha256:3fbbbedd41d24a7758e6f81d0971c412617f74981946d7272e6adaf07d60f431

Observation 893fc8e3-d9ac-4f91-840e-dad5893ffd38 · outbound

This paper cites The ethics of AI in games.

Ethical Considerations of Large Language Models in Game Playing The ethics of AI in games

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:36:19.936705Z

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=2026-08-05T17:36:11.097993Z digest=sha256:c0abd21c60f62ce1e54a4e5560b7085bf7e20ab6322433ad99a68d7e46066791

Observation 04d83175-6165-42fd-8e38-b2a66b66bf04 · outbound

This paper cites Exploring Accuracy-Fairness Trade-off in Large Language Models.

Ethical Considerations of Large Language Models in Game Playing Exploring Accuracy-Fairness Trade-off in Large Language Models

Reference 34

Resolution
verified exact
local_arxiv, observed 2026-08-05T17:36:14.529894Z

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=2026-08-05T17:36:11.145843Z digest=sha256:d3f8c3723430840de3333fb201d0da38c9b8a974bd08846db6bd691c8ad88f9a

Observation f12c5be3-7f0a-4a6f-94ab-286480f61ea7 · outbound

This paper cites Fair- erML: An extensible platform for analysing, visualising, and mitigat- ing biases in machine learning [application notes].

Ethical Considerations of Large Language Models in Game Playing Fair- erML: An extensible platform for analysing, visualising, and mitigat- ing biases in machine learning [application notes]

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:36:19.740775Z

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=2026-08-05T17:36:11.231299Z digest=sha256:c226a0447d255b832fc363ee433593ef04f53f4b7f25c06d6bce48f09e1435cb

Observation 0f8f18c4-ed69-4de0-830d-d0daa35199fa · outbound

This paper cites The risks of us- ing ChatGPT to obtain common safety-related information and advice.

Ethical Considerations of Large Language Models in Game Playing The risks of us- ing ChatGPT to obtain common safety-related information and advice

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:36:19.542625Z

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=2026-08-05T17:36:11.284597Z digest=sha256:9c9aa7ebd9c887cf5abf06e3e101b3b1336e52a2f4a9857fde39733877d99e1c

Observation 33703529-4ef5-4668-b4b6-9951f5676941 · outbound

This paper cites Artificial intelligence and games.

Ethical Considerations of Large Language Models in Game Playing Artificial intelligence and games

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:36:19.215211Z

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=2026-08-05T17:36:11.352728Z digest=sha256:b4c2d5fd3fef190c534bc01447df867b869260abd4e04c61c201b1e9538c7a88

Observation f3eeb44e-2b2a-4d70-b611-a3c85a318c4e · outbound

This paper cites Deep reinforcement learning for general video game AI.

Ethical Considerations of Large Language Models in Game Playing Deep reinforcement learning for general video game AI

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:36:18.884494Z

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=2026-08-05T17:36:11.381172Z digest=sha256:32625ea9fe375f43f2136f72ed957b3e5eb67e8511b12e582468a6db150ae424

Observation 29987d09-4bf5-4494-8505-c044ebe8de7b · outbound

This paper cites Why do women pretend to be men? female gender swapping in online games.

Ethical Considerations of Large Language Models in Game Playing Why do women pretend to be men? female gender swapping in online games

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:36:18.612794Z

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=2026-08-05T17:36:11.459747Z digest=sha256:47f2e0debe1c0d18bdcf0428fb5d0e8b60b1d995b941b493fa11bf157b37d737

Observation c53dced8-6d77-4390-a4ed-1bac2634765e · outbound

This paper cites Gender bias in video game dialogue.

Ethical Considerations of Large Language Models in Game Playing Gender bias in video game dialogue

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:36:18.394094Z

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=2026-08-05T17:36:11.493321Z digest=sha256:d613405d8b50143590c111b2c4ee0682b92f607e9f4c319fd2434a475621c493

Observation 6a3a775f-a6b5-4163-9b7a-fa43adf0793b · outbound

This paper cites Language agents with reinforce- ment learning for strategic play in the werewolf game.

Ethical Considerations of Large Language Models in Game Playing Language agents with reinforce- ment learning for strategic play in the werewolf game

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:36:18.087975Z

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=2026-08-05T17:36:11.572495Z digest=sha256:a132c825b32ea0ca0bccc57aa6854632dcb8e35530bf0310b0d6c6cadc474efb

Observation fa0556d2-a3e8-4dc1-90b6-0ab166eb9c1c · outbound

This paper cites Overview of AIWolfDial 2019 shared task: Contest of automatic dialog agents to play the Werewolf game through conversations.

Ethical Considerations of Large Language Models in Game Playing Overview of AIWolfDial 2019 shared task: Contest of automatic dialog agents to play the Werewolf game through conversations

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:36:17.843411Z

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=2026-08-05T17:36:11.655068Z digest=sha256:033ab83019d2e5f9e17f98894f07b9d4c07498d498856e4c00892701f2494dfa

Observation fb81514f-f0cf-4d14-a739-f9edcb056b70 · outbound

This paper cites Enhance Reasoning for Large Language Models in the Game Werewolf.

Ethical Considerations of Large Language Models in Game Playing Enhance Reasoning for Large Language Models in the Game Werewolf

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-05T17:36:11.768850Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T17:36:11.768850Z digest=sha256:4e5365196b3f8b0e6e926ab61a682058e1f1aa0a864e819acef7ade52f45c1d6

Observation 3d2f626c-4f62-4998-8a2c-b9bea19be06e · outbound

This paper cites Enhancing dialogue generation in Werewolf game through situation analysis and persuasion strategies.

Ethical Considerations of Large Language Models in Game Playing Enhancing dialogue generation in Werewolf game through situation analysis and persuasion strategies

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:36:17.486507Z

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=2026-08-05T17:36:11.832934Z digest=sha256:da0ec9af23e31a20b1da1c8f45827d5a05aac26c43b9727824444614b6705a48

Observation d54b8b08-691f-40a5-9a2d-6bd4ec5b9620 · outbound

This paper cites Enhancing consistency of Werewolf AI through dialogue summarization and persona information.

Ethical Considerations of Large Language Models in Game Playing Enhancing consistency of Werewolf AI through dialogue summarization and persona information

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:36:17.336905Z

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=2026-08-05T17:36:11.891515Z digest=sha256:a2758082d32b859f0814794aa872fc48c761b8c3731705e61f85dcc237b3282e

Observation 7ce8f62e-70e5-4bb8-97eb-ccb50bc5e068 · outbound

This paper cites A theory of social comparison processes.

Ethical Considerations of Large Language Models in Game Playing A theory of social comparison processes

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:36:17.157601Z

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=2026-08-05T17:36:11.965876Z digest=sha256:71beffbc35baed5b4672f3b52f431098e65a320490f00a65ea23b95035ef0434

Observation b8873221-efd1-4fdc-abf1-0d061e793e18 · outbound

This paper cites Counterfactual fairness.

Ethical Considerations of Large Language Models in Game Playing Counterfactual fairness

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:36:17.062686Z

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=2026-08-05T17:36:12.024934Z digest=sha256:dddfc00bae0ddc62cbbb0268d7f8a77f4fb623ba0e537f0e5439c09657785d75

Observation 4d189793-7c0d-4e3c-9494-26e74b2432f4 · outbound

This paper cites A roadmap of explainable artificial intelli- gence: Explain to whom, when, what and how? ACM Trans.

Ethical Considerations of Large Language Models in Game Playing A roadmap of explainable artificial intelli- gence: Explain to whom, when, what and how? ACM Trans

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:36:16.970598Z

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=2026-08-05T17:36:12.131453Z digest=sha256:f268d03df021706c604d0fe07405e3fea9564e4962c3698d67393bc97ce129b2

Observation e4ff97ce-a210-4991-80f8-c56809f9be2b · outbound

This paper cites War and Peace (WarAgent): Large Language Model-based Multi-Agent Simulation of World Wars.

Ethical Considerations of Large Language Models in Game Playing War and Peace (WarAgent): Large Language Model-based Multi-Agent Simulation of World Wars

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-05T17:36:12.233931Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T17:36:12.233931Z digest=sha256:d8c8698c068da7c3e699057e68c0a269362955b17c9b8bf2c7d681ef6a59af1a

Observation 6693ce67-65d3-48f1-ba41-bf440b89c2b6 · outbound

This paper cites It’s all in the name: Mitigating gender bias with name-based counterfactual data substitu- tion.

Ethical Considerations of Large Language Models in Game Playing It’s all in the name: Mitigating gender bias with name-based counterfactual data substitu- tion

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:36:16.891052Z

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=2026-08-05T17:36:12.332297Z digest=sha256:1d0fc32eb444b28719f168b1ea5735e994f60fa3385fbe891264a9cb63475cde

Observation cc0b2ae4-b8c5-4069-9e67-c816144ad24b · outbound

This paper cites What’s in a name?–gender classification of names with character based machine learning models.

Ethical Considerations of Large Language Models in Game Playing What’s in a name?–gender classification of names with character based machine learning models

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:36:16.777673Z

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=2026-08-05T17:36:12.375598Z digest=sha256:b527f1a13901b900b4d4be1007031242d93bb35242e67f13bcc117105046ecf0

Observation 1cfbe481-93d4-4588-a52e-87726c7a9cfc · outbound

This paper cites Beyond binary gender labels: Revealing gender bias in llms through gender- neutral name predictions.

Ethical Considerations of Large Language Models in Game Playing Beyond binary gender labels: Revealing gender bias in llms through gender- neutral name predictions

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:36:16.685870Z

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=2026-08-05T17:36:12.397469Z digest=sha256:973234c95083dd8eecbe4faff8b99e43b58c45749974657140a060283984ae3f

Observation f021cfdc-1f5c-418e-a2af-7b858e260e0b · outbound

This paper cites First-person fair- ness in chatbots.

Ethical Considerations of Large Language Models in Game Playing First-person fair- ness in chatbots

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:36:16.559626Z

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=2026-08-05T17:36:12.443569Z digest=sha256:0082f91af3de3acce69f97aded5374adb5df64a8622b7f54440430e77790f4b9

Observation 856911d3-4b06-46ac-8754-3e2e59df20c7 · outbound

This paper cites National data on the relative frequency of given names in the population of u.s.

Ethical Considerations of Large Language Models in Game Playing National data on the relative frequency of given names in the population of u.s

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:36:16.478550Z

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=2026-08-05T17:36:12.503834Z digest=sha256:e2c09e31ff6745334b6f7e7d82d68b0cc58d84db54f919e44cfd63a50d9c8475

Observation 52f73d20-c9c8-432e-b099-221daa1ab3e7 · outbound

This paper cites AI Gender Bias, Disparities, and Fairness: Does Training Data Matter?.

Ethical Considerations of Large Language Models in Game Playing AI Gender Bias, Disparities, and Fairness: Does Training Data Matter?

Reference 55

Resolution
verified exact
local_arxiv, observed 2026-08-05T17:36:14.410804Z

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=2026-08-05T17:36:12.626464Z digest=sha256:a7ba8323bc97a6f1ac37079c3c7a3b5d7cc896168e7e963a64c05b82bc709c02

Observation 2c0f1279-086e-42fd-82ea-b4093908ee8d · outbound

This paper cites The e ffect of gender stereotypes on artificial intelligence recommendations.

Ethical Considerations of Large Language Models in Game Playing The e ffect of gender stereotypes on artificial intelligence recommendations

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:36:16.384317Z

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=2026-08-05T17:36:12.708147Z digest=sha256:bd7632a5873b7d3ffc68fbe83e75982d3bd83fd70ff3118ccf3ef98f99c3a75d

Observation d6738824-6aa0-4e4a-a693-ae53c65573ac · outbound

This paper cites Improving gender fairness of pre- trained language models without catastrophic forgetting.

Ethical Considerations of Large Language Models in Game Playing Improving gender fairness of pre- trained language models without catastrophic forgetting

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:36:16.286781Z

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=2026-08-05T17:36:12.809200Z digest=sha256:ec74434e5bd5b9bf875d795c6417999d7b04e4a5fe06019b7c1cf0a1508f461a

Observation 8f880d00-e806-4876-85f3-235809eeb9bd · outbound

This paper cites Mixup-based unified framework to over- come gender bias resurgence.

Ethical Considerations of Large Language Models in Game Playing Mixup-based unified framework to over- come gender bias resurgence

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:36:16.146869Z

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=2026-08-05T17:36:12.953372Z digest=sha256:24bbdae7f0fac597300baa8694c400947edb89d8a5b805b819c2f755988400ee

Observation ec6a3cff-5449-4464-ae22-782115de82a7 · outbound

This paper cites Auto-debias: Debiasing masked language models with automated biased prompts.

Ethical Considerations of Large Language Models in Game Playing Auto-debias: Debiasing masked language models with automated biased prompts

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:36:16.068727Z

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=2026-08-05T17:36:13.044808Z digest=sha256:0c6a1fdcc4de8c2e052d042dd32e255966e5f541cf49ba47c810de9f664987ba

Observation befa452b-510c-4e93-ad8e-62679309fb28 · outbound

This paper cites Learnware: on the future of machine learning.

Ethical Considerations of Large Language Models in Game Playing Learnware: on the future of machine learning

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:36:15.976406Z

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=2026-08-05T17:36:13.160480Z digest=sha256:11b9f30ae8ac162a8da3ba2221fa20fc9fb205cc289f21fb3f8094f0fde0257b

Observation c3c7d4dc-19dc-474a-8fde-067a38bbd4d3 · outbound

This paper cites Explicitly unbiased large language models still form biased associations.

Ethical Considerations of Large Language Models in Game Playing Explicitly unbiased large language models still form biased associations

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:36:15.806425Z

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=2026-08-05T17:36:13.243976Z digest=sha256:eabb0c266aab21ea396cf2f4995e836b7e85cbc16df28e40219da5446e740376

Observation 21b62820-0e8b-4388-8328-ee2fe4aa77b6 · outbound

This paper cites The global landscape of AI ethics guide- lines.

Ethical Considerations of Large Language Models in Game Playing The global landscape of AI ethics guide- lines

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:36:15.697584Z

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=2026-08-05T17:36:13.347099Z digest=sha256:8124c06e77e96db4861d564ad9b47dffb047e3beb2fa61baecec28da973d9732

Observation 04c5c715-266a-42b6-adfa-d9621d9d47de · outbound

This paper cites The ethics of AI ethics: An evaluation of guidelines.

Ethical Considerations of Large Language Models in Game Playing The ethics of AI ethics: An evaluation of guidelines

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:36:15.548060Z

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=2026-08-05T17:36:13.396985Z digest=sha256:6f470af0a8c49cf30ece2dd86f8610fb34d0c1a93a7c42d9db116b7becd2c186

Observation 52591b5a-0b2c-4c3d-8d70-293677c6c861 · outbound

This paper cites Semantics derived automati- cally from language corpora contain human-like biases.

Ethical Considerations of Large Language Models in Game Playing Semantics derived automati- cally from language corpora contain human-like biases

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:36:15.331301Z

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=2026-08-05T17:36:13.503037Z digest=sha256:bbb5e9ae59b35dd13f9f1f6b1cde77f6713503c8355538a52f092cf9e478c06b

Observation 342ac3f5-0be8-4ab9-8e59-17cb4b09549d · outbound

This paper cites Bias in data-driven artificial intelligence systems—an introductory survey.

Ethical Considerations of Large Language Models in Game Playing Bias in data-driven artificial intelligence systems—an introductory survey

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:36:15.135191Z

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=2026-08-05T17:36:13.589192Z digest=sha256:2de87d83e0590a458d3d1919510c0cacc2b0e48ac3036e318eceba6a2decccfb

Observation 7958595d-588c-4f29-8fdc-6267af54fb58 · outbound

This paper cites How Well Do LLMs Represent Values Across Cultures? Empirical Analysis of LLM Responses Based on Hofstede Cultural Dimensions.

Ethical Considerations of Large Language Models in Game Playing How Well Do LLMs Represent Values Across Cultures? Empirical Analysis of LLM Responses Based on Hofstede Cultural Dimensions

Reference 66

Resolution
unresolved
no resolver link, observed 2026-08-05T17:36:13.700527Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T17:36:13.700527Z digest=sha256:8f3a4278c7436b8942bbe91a387a39d74e096ca92f4d2cb695e56946b7f0caf6

Observation 4dfac379-b46c-4fe6-95ad-0f8f1fb59645 · outbound

This paper cites AI pitfalls and what not to do: mitigating bias in AI.

Ethical Considerations of Large Language Models in Game Playing AI pitfalls and what not to do: mitigating bias in AI

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:36:14.921981Z

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=2026-08-05T17:36:13.819868Z digest=sha256:ab98ada61c0bce18f6092875ef165db4d78f51f1684de5781c68246764a6a35a

Observation a32e7809-8fe0-4bb4-ad68-f1304c6536d3 · outbound

This paper cites Embracing LLM feedback: the role of feed- back providers and provider information for feedback effectiveness.

Ethical Considerations of Large Language Models in Game Playing Embracing LLM feedback: the role of feed- back providers and provider information for feedback effectiveness

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:36:14.769767Z

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=2026-08-05T17:36:13.867821Z digest=sha256:7eab57de249b19b1f6895c54ed4f6e5bc0c2ea8b5f1b20cfa3daed22fdc056c1

Observation e7c0116b-1b76-4118-b38b-db69c56a9c85 · outbound

This paper cites Prompt Injection attack against LLM-integrated Applications.

Ethical Considerations of Large Language Models in Game Playing Prompt Injection attack against LLM-integrated Applications

Reference 69

Resolution
unresolved
no resolver link, observed 2026-08-05T17:36:13.899987Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T17:36:13.899987Z digest=sha256:c98af7707840ca5e6aa4347f3145af5a9a1d2f690278d0a147c0284f5db5bd1d

Observation 21d95b3d-3d54-401b-9db2-87db9fffd5f9 · outbound

This paper cites Fairness-aware multiobjective evolution- ary learning.

Ethical Considerations of Large Language Models in Game Playing Fairness-aware multiobjective evolution- ary learning

Reference 70

Resolution
metadata mismatch
raw_fallback, observed 2026-08-05T17:36:14.146106Z

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=2026-08-05T17:36:13.952606Z digest=sha256:6c9c7dac314a4d73b33f6aa1782d5e34672c0fb3faf8db25431baac9aff94c9f

Pith citing papers

Observation 265c3f38-112f-4031-9892-a0db2140d62d · inbound

Even More Deception: Objective Misalignment in Mixed-Motive LLM Multi-Agent Systems cites this paper.

Even More Deception: Objective Misalignment in Mixed-Motive LLM Multi-Agent Systems Ethical Considerations of Large Language Models in Game Playing

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-01T00:51:15.271879Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T00:51:15.271879Z digest=sha256:264f374c62b544caa9ac2d3bb52536f77112d417e4f4a8e069a9e8fc7d4a5c66