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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 2026-08-09T06:31:02.800959+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.

source=pdf_text observed=2026-08-08T21:58:39.497237Z digest=sha256:2e5334cef0c32e848b21ac6f52f39f87839b269daa52403aa581bb70a09d1fd0

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.

source=pdf_text observed=2026-08-07T10:41:38.968905Z digest=sha256:d88a289ce961b4b698d148bd08ae2db1d305b3ad3993a082c9704cd371b90aae

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-19T07:27:20.027179Z digest=sha256:3194007d34dc653cd7b42ab15de7b45445ee3e3e643f778ced01580330c0209c

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.

source=arxiv_source observed=2026-08-06T16:42:43.290167Z digest=sha256:79684579ebc71f473dbd1cc8b055111c9496a15718c8f93a8cae9913397cfca9

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.

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

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-18T13:25:17.313704Z digest=sha256:a774d757f5fadc4f72a151881c71403d68d724c7dce4d73bdea13834ac7eed3c

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-08T09:35:47.501360Z digest=sha256:3544da83ed14f845677337073bd7f505457844ae8bce25bbef18c89e09045ec5

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-12T03:16:59.195706Z digest=sha256:ee061ba0ab7e6ef6e0bda2cb929a29bdc00e3f27676f09130ee3e1eb11fe1ae9

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-20T22:36:13.781114Z digest=sha256:c00a482d009ae6d6fb8c4b7c55cae671d35aafb74661c7328fd67ea601cd6d4d

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-11T01:19:42.892343Z digest=sha256:384bbff7976ffc9e32fddab7e041432905a2d360123d61907f4c64865afbe073

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-12T03:25:24.844859Z digest=sha256:41b6a9e5af86203561381490f31d69077a1ea00ef97e4abcffd36bafa21e2d05

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-13T06:44:28.552513Z digest=sha256:21d91786b59cd6cede5f5f4439dcf7a8fff565a5e9e60a0c22a03ce8d34f79da

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-27T09:46:30.702256Z digest=sha256:2c088b5bde19000144be28a6b06fca13967aecc6f06e0a25aa33f350bf3bfb60

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.

source=pdf_text observed=2026-08-01T16:54:49.539048Z digest=sha256:bc84727f21f49ba939df4faee15c396fe5a229f629895822f50401f2259bc81b