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Paper Citation Record · LEDGER

Ethical Considerations of Large Language Models in Game Playing

As of 18 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 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+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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Unavailable: canonical work link unavailable.

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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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T17:36:08.939603Z digest=sha256:617ae52e6cf3037a9d3ed89d8878a4a5b16f502c6df9568ef76c56aaa73653b0

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T17:36:09.023928Z digest=sha256:26ce49e069c92ade049fe8c7bb6d2d2e46e2077be75c1459373ed2caa76c6c23

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 2026-08-18T06:34:40.430872+00:00.

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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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T17:36:09.118351Z digest=sha256:ef93ce4dae43f34eac87c6f11fb2f06bb34aae593008ee21ddce0e7ab32ab957

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:d8c9893ce62444627ad0765dfeccb892357c82d4d248f966d088bde9addd0946

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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T17:36:09.384246Z digest=sha256:d781bcee00d6d4346e0f5db1e541a0086b56e63e2505faa3757a3b9065d801cb

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=sha256:7493b764b01b30081c7fef93e1a14d28c72e588e02f0f7c03d4ea09d14ce0c44

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=sha256:053692789bf4f7c04cec29f3841ed82982de60d3effba5b7bc634a5e709e04f2

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 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T17:36:09.748896Z digest=sha256:63a526aeb260e803badc673616ee2179cc438ad3d027760242634ed10f9fdafd

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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no resolver link, observed 2026-08-05T17:36:09.852365Z

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 2026-08-18T06:34:40.430872+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

Resolution
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 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+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

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+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

Resolution
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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 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+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

Resolution
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 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+00:00.

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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 2026-08-18T06:34:40.430872+00:00.

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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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T17:36:11.053071Z digest=sha256:bc198adf9efc37d5242239924c470af6f0421ffcb293b13811f28c2bb42b6cea

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T17:36:11.097993Z digest=sha256:56ccdf0aa2c579f8d69b3d472bdfdfe89827ed871e6dafc7ef00781b13fcacce

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T17:36:11.145843Z digest=sha256:c176fc8419f4637b55f041f95440af3350cd247e587953afe008a517b25bc0c6

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T17:36:11.231299Z digest=sha256:52fa9c08da284ddc0f421ab0be9edd58ad8184105f8ab87275464ad21a39b7db

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T17:36:11.284597Z digest=sha256:23c35a6008cc13579111d4e961f6259666399925f3dae479dae9444310808cc9

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T17:36:11.352728Z digest=sha256:a534ccfa33dcb8bf9fec62be0fe5a48717fdfc95ae7f0e7056ccbc18c74fbc00

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T17:36:11.381172Z digest=sha256:5248a42fda9be212302262665785106c271a12d0d2b574f6e9f3a6ac13607cbb

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T17:36:11.459747Z digest=sha256:27041c340c0e35366c2b3258230dffdb4cd65e83a1f7080c321ddc11c09836ad

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T17:36:11.493321Z digest=sha256:3f4ceec7b5d9c4122cc66b87fa09320ee59b076767990aa46b9caab21962ec86

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T17:36:11.572495Z digest=sha256:14554f1a6a4793335821a50aefe927cafbf4ce622de2fbbb73f847d07aa96c2e

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T17:36:11.655068Z digest=sha256:25c815879cf58262d178afc91f41caca5c6cde8a4cde7561589e48bc77cadd73

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=sha256:170b8d111654b81dd2f4b547a09ed208ea4facd4271bffcca2bef30e029c1459

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T17:36:11.832934Z digest=sha256:1e49347f9e558b4f9c20f38f4fe8f9c4d5759506feb5c0377b3a2d67f46b0322

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T17:36:11.891515Z digest=sha256:986ab85982eb239423f7b53c7079e38b55c8c4e2286703b99b591798381dd821

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T17:36:11.965876Z digest=sha256:fe2a593dad4b2cfa8dd72adc3f32f721c8c90978579dac7535c694a6e974551c

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T17:36:12.024934Z digest=sha256:8ef26d45d8125ecc6dbf8bef9886a0a58cdd2074587bbbfdb094cd50fa70f4f8

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T17:36:12.131453Z digest=sha256:8a8e8a21075df052f1c5c780ecf815b309464bed8a5615cf5149eaa1d10c5ce5

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:eb1a83c957e6ea53219ed4c3ef02ec0cbc5be79c57b938ac35a8594f03219aec

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T17:36:12.332297Z digest=sha256:0fdb5cd24131892343c9bd28781c6489e95811e53ece1cbe81ab264272b0c1c2

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T17:36:12.375598Z digest=sha256:507aceb60dd27bb5bcb16d7cf225731322de34dbd8109322626a6383e6f39e47

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T17:36:12.397469Z digest=sha256:eb593da949166d8dc347e3ad43a4b07d42e1d2fa309d282e8e359a710cf4d947

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T17:36:12.443569Z digest=sha256:343a39226fce0d408f9c1ae33ec7fa052745c19f7ec18cd549713be6fdc88cb3

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T17:36:12.503834Z digest=sha256:20e768cd2971479e04b09040ad89de53e8d60909e415c0728305e78d91684aea

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T17:36:12.626464Z digest=sha256:1f4a84fe6ecd76bd66c646c47eb2b343b024e7d9251ea480f47afc815f79086b

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T17:36:12.708147Z digest=sha256:15dcb8920a8e3465d41d144875505f6ce314ff67ed873cf31699a38edfffa14e

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T17:36:12.809200Z digest=sha256:f7d66c93b42afaee7eff5a5d093189bb1c73014df281df34d794c5083f70bd4d

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T17:36:12.953372Z digest=sha256:ff9075b1e06146d1cff697b44bf8670fc59c781c54293f6a9e20f84398941582

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T17:36:13.044808Z digest=sha256:af0f03db7243c4eb3d0943a988da7461c32d7e26ed829a51f6fa9db4499f9fce

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T17:36:13.160480Z digest=sha256:436e1d9626a5e4ef655cfc97ef50cb3be30ab97573dff1b3488699b026e1f7dc

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T17:36:13.243976Z digest=sha256:46772ae67098ebabb4adb4b0ab92be45d1d9fe251bc8ed6dc969a61e77ea5aa5

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T17:36:13.347099Z digest=sha256:3adae35cae2fdbfa09907076e1154fbf449fef05ccbf72ba12468cfee438edda

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T17:36:13.396985Z digest=sha256:480a2eeeb7de766b8549029b73c17896a19bdaa626ffa5279669bab805d4818d

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T17:36:13.503037Z digest=sha256:227d8031ca3bcd99ac6a5afec7d893dedeeadfee443ee266a32c4f7dcf671c5a

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T17:36:13.589192Z digest=sha256:d9dc619614a380ce11879ed7171a78791a548b2589351125041d33bb306889e1

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=sha256:152a967f68f2d13870abf894e13451a3d5c31a352efbe563f2231ec5b51927f8

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T17:36:13.819868Z digest=sha256:15b8dc7bc12e1dce5f957d7ad10974558cf2acae274f9f440953f51faed3d7f3

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T17:36:13.867821Z digest=sha256:5b749e81dec4f6b397bfd6ae8033e2a25a30f701925ef8be1eb18ff1956327fb

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:afb6690b7860955be10e47abd47b4b4eb75b96e8b5137af8c4e8c7575cd19d39

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T17:36:13.952606Z digest=sha256:ecee1f027f34efb8f545c1c42cc5d060f0d09c75f205fb2d36ba4332bb757c8d

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=sha256:364a95b6309e2d680c46cfab48dcfa9b5fa5fbdb88cb8372c7ae0bcb790c2f1b