Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Evaluating Character Understanding of Large Language Models via Character Profiling from Fictional Works
As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2404.12726.
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 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T11:50:02.347056Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T15:02:27.219818Z
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 dcd726a5-8cbb-46c8-9111-2392bfe536e0 · inbound
CharacterBox: Evaluating the Role-Playing Capabilities of LLMs in Text-Based Virtual Worlds cites this paper.
CharacterBox: Evaluating the Role-Playing Capabilities of LLMs in Text-Based Virtual Worlds Evaluating Character Understanding of Large Language Models via Character Profiling from Fictional Works
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T20:34:34.157945Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 11af323f-5e7a-4a50-87c0-3d3fa966bdbf · inbound
BookWorld: From Novels to Interactive Agent Societies for Creative Story Generation cites this paper.
BookWorld: From Novels to Interactive Agent Societies for Creative Story Generation Evaluating Character Understanding of Large Language Models via Character Profiling from Fictional Works
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T11:50:02.347056Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e5b23e0c-4134-49fd-acbd-d751861cbbbe · inbound
CogDual: Enhancing Dual Cognition of LLMs via Reinforcement Learning with Implicit Rule-Based Rewards cites this paper.
CogDual: Enhancing Dual Cognition of LLMs via Reinforcement Learning with Implicit Rule-Based Rewards Evaluating Character Understanding of Large Language Models via Character Profiling from Fictional Works
Reference 45
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T15:02:27.228027Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.