Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
On the Creativity of Large Language Models
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2304.00008.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T11:09:40.786048Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-21T20:40:36.358554Z
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 9954bddc-d1be-47ca-9d56-5b30669c9c8c · inbound
The Rise and Potential of Large Language Model Based Agents: A Survey cites this paper.
The Rise and Potential of Large Language Model Based Agents: A Survey On the Creativity of Large Language Models
Reference 118
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T10:47:46.718115Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation e776fec7-ad82-463c-85e2-572f1376bcb0 · inbound
Intentionally Unintentional: GenAI Exceptionalism and the First Amendment cites this paper.
Intentionally Unintentional: GenAI Exceptionalism and the First Amendment On the Creativity of Large Language Models
Reference 2023
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:28:16.040833Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 325c8369-0e4f-4aad-bf73-92786af8dd56 · inbound
Are Large Language Models Good Temporal Graph Learners? cites this paper.
Are Large Language Models Good Temporal Graph Learners? On the Creativity of Large Language Models
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:09:40.786048Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 00299127-97f4-4c53-83ed-5cdc786b0780 · inbound
If You Had to Pitch Your Ideal Software -- Evaluating Large Language Models to Support User Scenario Writing for User Experience Experts and Laypersons cites this paper.
If You Had to Pitch Your Ideal Software -- Evaluating Large Language Models to Support User Scenario Writing for User Experience Experts and Laypersons On the Creativity of Large Language Models
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T21:37:55.792650Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6d2f328c-a42a-4724-9ef2-4de89c59bd88 · inbound
Deep sequence models tend to memorize geometrically; it is unclear why cites this paper.
Deep sequence models tend to memorize geometrically; it is unclear why On the Creativity of Large Language Models
Reference 46
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T20:40:36.361143Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.