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Paper Citation Record · LEDGER

LLM-Based Agent Society Investigation: Collaboration and Confrontation in Avalon Gameplay

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2310.14985.

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

pith.paper-citation-record.v1
2310.14985 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:00:53.671610Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T07:32:09.390093Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 059a56e7-689e-425e-8ad6-5155c14d84e8 · inbound

AI Agent Behavioral Science cites this paper.

AI Agent Behavioral Science LLM-Based Agent Society Investigation: Collaboration and Confrontation in Avalon Gameplay

Reference 82

Resolution
unresolved
no resolver link, observed 2026-08-07T11:00:53.671610Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:00:53.671610Z digest=sha256:00cf1aab5468b184b3e834301d861414193371d7547e4dca6a391a15b334743c

Observation 16f9109f-f07e-4de6-b740-4cb429bd316d · inbound

The Effect of State Representation on LLM Agent Behavior in Dynamic Routing Games cites this paper.

The Effect of State Representation on LLM Agent Behavior in Dynamic Routing Games LLM-Based Agent Society Investigation: Collaboration and Confrontation in Avalon Gameplay

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-07T00:00:12.585965Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:00:12.585965Z digest=sha256:00bf812306d9bd2f2f93869ab74b60cc4ac9d572df9c23136bd4e4a48e85e728

Observation 0c512188-08aa-4197-9a4c-6ec0bae2ef01 · inbound

Bayesian Social Deduction with Graph-Informed Language Models cites this paper.

Bayesian Social Deduction with Graph-Informed Language Models LLM-Based Agent Society Investigation: Collaboration and Confrontation in Avalon Gameplay

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-05-19T07:32:09.391690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-19T07:27:20.027179Z digest=sha256:02ca4d99e366a8bba54313d55422a44ef8d2a28ddeee67abba355cdd63bfdd75

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

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

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

Resolution
unresolved
no resolver link, observed 2026-08-06T20:08:13.427543Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Observation a7e134fc-fc35-4bac-a656-719b82f7c550 · inbound

SE-VLN: A Self-Evolving Vision-Language Navigation Framework Based on Multimodal Large Language Models cites this paper.

SE-VLN: A Self-Evolving Vision-Language Navigation Framework Based on Multimodal Large Language Models LLM-Based Agent Society Investigation: Collaboration and Confrontation in Avalon Gameplay

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-06T16:33:47.458300Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:33:47.458300Z digest=sha256:aee483b0652fcee044b12302e3d3768936c1e0fb619590bf86cc02148437ef86

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

Ethical Considerations of Large Language Models in Game Playing cites this paper.

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

Reference 14

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T17:36:09.852365Z digest=sha256:ede2b39d86d1e641df8cf0725dfbe069ed5472775540a8300ab964e05400b5e5