Paper Citation Record · LEDGER

Enhance Reasoning for Large Language Models in the Game Werewolf

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 inbound Pith citation observations for arXiv:2402.02330.

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

pith.paper-citation-record.v1
2402.02330 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 14 of 14 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 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T21:58:39.497237Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T10:58:02.939794Z

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 f878cafe-6e06-4824-9ebd-5034407ec670 · inbound

Learning Strategic Language Agents in the Werewolf Game with Iterative Latent Space Policy Optimization cites this paper.

Learning Strategic Language Agents in the Werewolf Game with Iterative Latent Space Policy Optimization Enhance Reasoning for Large Language Models in the Game Werewolf

Reference 1995

Resolution: unresolved; no resolver link, observed 2026-08-08T21:58:39.497237Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d7ad8002-7747-415f-8f2d-2930e839e823 · inbound

Empowering Economic Simulation for Massively Multiplayer Online Games through Generative Agent-Based Modeling cites this paper.

Empowering Economic Simulation for Massively Multiplayer Online Games through Generative Agent-Based Modeling Enhance Reasoning for Large Language Models in the Game Werewolf

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-07T10:41:38.968905Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b81b8ed7-7b95-4e5b-8889-c3f4b55e45b6 · inbound

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

Bayesian Social Deduction with Graph-Informed Language Models Enhance Reasoning for Large Language Models in the Game Werewolf

Reference 65

Resolution: verified exact; arxiv_id, observed 2026-05-19T07:32:09.369837Z

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.

Observation 46ac0016-8101-4329-a15d-114650bba8dc · inbound

Strategy Adaptation in Large Language Model Werewolf Agents cites this paper.

Strategy Adaptation in Large Language Model Werewolf Agents Enhance Reasoning for Large Language Models in the Game Werewolf

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T16:42:43.290167Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

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

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.

Observation 738636c3-cb7b-4241-a8db-b18f07984e00 · inbound

Deceive, Detect, and Disclose: Large Language Models Play Mini-Mafia cites this paper.

Deceive, Detect, and Disclose: Large Language Models Play Mini-Mafia Enhance Reasoning for Large Language Models in the Game Werewolf

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-18T13:26:24.889577Z

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.

Observation a659f96b-2a1f-4959-b85b-34131058c753 · inbound

Can RL Teach Long-Horizon Reasoning to LLMs? Expressiveness Is Key cites this paper.

Can RL Teach Long-Horizon Reasoning to LLMs? Expressiveness Is Key Enhance Reasoning for Large Language Models in the Game Werewolf

Reference 100

Resolution: verified exact; arxiv_id, observed 2026-05-11T20:16:11.473802Z

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.

Observation a7801e84-2982-4a25-b6a0-d9e783f9b90c · inbound

Can RL Teach Long-Horizon Reasoning to LLMs? Expressiveness Is Key cites this paper.

Can RL Teach Long-Horizon Reasoning to LLMs? Expressiveness Is Key Enhance Reasoning for Large Language Models in the Game Werewolf

Reference 105

Resolution: verified exact; arxiv_id, observed 2026-05-12T03:21:19.210629Z

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.

Observation 4ee4e516-1db2-4b95-af97-925f5944830d · inbound

Can RL Teach Long-Horizon Reasoning to LLMs? Expressiveness Is Key cites this paper.

Can RL Teach Long-Horizon Reasoning to LLMs? Expressiveness Is Key Enhance Reasoning for Large Language Models in the Game Werewolf

Reference 105

Resolution: verified exact; arxiv_id, observed 2026-05-20T22:39:10.325490Z

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.

Observation 878ccb26-4c8c-4e4c-9478-6b42be094f59 · inbound

SOM: Structured Opponent Modeling for LLM-based Agents via Structural Causal Model cites this paper.

SOM: Structured Opponent Modeling for LLM-based Agents via Structural Causal Model Enhance Reasoning for Large Language Models in the Game Werewolf

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-05-11T04:30:55.826834Z

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.

Observation 5f11dc13-fdcc-4936-b0d2-1cb3caed1e1e · inbound

Towards Generalist Game Players: An Investigation of Foundation Models in the Game Multiverse cites this paper.

Towards Generalist Game Players: An Investigation of Foundation Models in the Game Multiverse Enhance Reasoning for Large Language Models in the Game Werewolf

Reference 186

Resolution: verified exact; arxiv_id, observed 2026-05-12T03:26:19.169781Z

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.

Observation 92393ed4-f986-41b9-89a4-14923c63bfb1 · inbound

Towards Generalist Game Players: An Investigation of Foundation Models in the Game Multiverse cites this paper.

Towards Generalist Game Players: An Investigation of Foundation Models in the Game Multiverse Enhance Reasoning for Large Language Models in the Game Werewolf

Reference 186

Resolution: verified exact; arxiv_id, observed 2026-05-13T06:47:27.243194Z

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.

Observation 5838f1b0-8bfd-4cc2-8b36-c588655cf875 · inbound

Agentic Environment Engineering for Large Language Models: A Survey of Environment Modeling, Synthesis, Evaluation, and Application cites this paper.

Agentic Environment Engineering for Large Language Models: A Survey of Environment Modeling, Synthesis, Evaluation, and Application Enhance Reasoning for Large Language Models in the Game Werewolf

Reference 109

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T10:58:02.941156Z

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.

Observation f706b3f1-aefd-4491-b508-928c76dc3591 · inbound

CaM-Wolf: Causal-Aware Multimodal Agents for Social Deduction Games cites this paper.

CaM-Wolf: Causal-Aware Multimodal Agents for Social Deduction Games Enhance Reasoning for Large Language Models in the Game Werewolf

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-01T16:54:49.539048Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.