Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
CharacterBox: Evaluating the Role-Playing Capabilities of LLMs in Text-Based Virtual Worlds
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2412.05631.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T14:55:24.540809Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T09:21:01.025950Z
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 4f9de5c7-5ecb-4db8-9d8d-6dbf0a1f2ed0 · inbound
Cracking Aegis: An Adversarial LLM-based Game for Raising Awareness of Vulnerabilities in Privacy Protection cites this paper.
Cracking Aegis: An Adversarial LLM-based Game for Raising Awareness of Vulnerabilities in Privacy Protection CharacterBox: Evaluating the Role-Playing Capabilities of LLMs in Text-Based Virtual Worlds
Reference 137
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:55:24.540809Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 94eb37f2-eb95-45c3-8f59-4447eba7b438 · inbound
OmniCharacter: Towards Immersive Role-Playing Agents with Seamless Speech-Language Personality Interaction cites this paper.
OmniCharacter: Towards Immersive Role-Playing Agents with Seamless Speech-Language Personality Interaction CharacterBox: Evaluating the Role-Playing Capabilities of LLMs in Text-Based Virtual Worlds
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:01:32.664983Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4b7e65ff-07f6-43d4-a2a1-44c7bcf10c9a · inbound
Too Nice to Tell the Truth: Quantifying Agreeableness-Driven Sycophancy in Role-Playing Language Models cites this paper.
Too Nice to Tell the Truth: Quantifying Agreeableness-Driven Sycophancy in Role-Playing Language Models CharacterBox: Evaluating the Role-Playing Capabilities of LLMs in Text-Based Virtual Worlds
Reference 49
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T09:21:01.028021Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.