Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Guiding and Diversifying LLM-Based Story Generation via Answer Set Programming
As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2406.00554.
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 2026-08-13T06:32:02.005865+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T20:12:47.131861Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T17:31:07.548611Z
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 f1243a51-d17e-4425-8ebf-cff28109aecf · inbound
Drama Llama: An LLM-Powered Storylets Framework for Authorable Responsiveness in Interactive Narrative cites this paper.
Drama Llama: An LLM-Powered Storylets Framework for Authorable Responsiveness in Interactive Narrative Guiding and Diversifying LLM-Based Story Generation via Answer Set Programming
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T20:12:47.131861Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1844f3c2-b6af-4a29-b165-2a4142cb3b51 · inbound
Toyteller: AI-powered Visual Storytelling Through Toy-Playing with Character Symbols cites this paper.
Toyteller: AI-powered Visual Storytelling Through Toy-Playing with Character Symbols Guiding and Diversifying LLM-Based Story Generation via Answer Set Programming
Reference 88
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T16:21:47.359101Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9a898a52-06e2-452b-a3c0-51e513f114e0 · inbound
StoryAlign: Evaluating and Training Reward Models for Story Generation cites this paper.
StoryAlign: Evaluating and Training Reward Models for Story Generation Guiding and Diversifying LLM-Based Story Generation via Answer Set Programming
Reference 27
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T17:31:07.552951Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.