Pith. sign in

Paper Citation Record · LEDGER

Enhance Reasoning for Large Language Models in the Game Werewolf

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 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 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T17:36:11.768850Z

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 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 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-19T07:27:20.027179Z digest=sha256:ca8bbf783ceaf39483c754afcc2e41617c39945ce7a596767bd4f799c8ec1139

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 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-18T13:25:17.313704Z digest=sha256:52df870d40e32528900e030fb6f48d0dc1800f4e42dc9e1ce4532550c19adc9d

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 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-08T09:35:47.501360Z digest=sha256:4c07ce5b6742c435bd4f7c21023f8013ad47226910084667f82821cd6f23c238

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 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-12T03:16:59.195706Z digest=sha256:fe9b9745cfac8d9bd9a1c41e20e38b92e4fed7138db9d4ed472fdbd05542e1fe

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 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-20T22:36:13.781114Z digest=sha256:2677fb90984a8a0dcfeac8ac5f47c9a6f3a03dd6ec8d6d77f74ec58eecf57536

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 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:19:42.892343Z digest=sha256:1e993ab0b45650d424c7bd53c0b135b89374771d34b44e568eea5a1881e34700

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 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-12T03:25:24.844859Z digest=sha256:d2a75cf7b204800664deff10e3056b1f0041a3b36f5723928c127bbd5e7ab33b

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 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-13T06:44:28.552513Z digest=sha256:f7693bdadbc15b14d72f17e1473170f62caea7699e8ac18636aba52a34e97161

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 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-27T09:46:30.702256Z digest=sha256:6194553b6169c9bb07b30ff986cae2e6cfdb9495499aa0e85c26676901323320

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:dc7fd468a00c07be3d5c42538f12b698bf475e29a7aeb548ba02f9988c98e161