Paper Citation Record · LEDGER

On the Creativity of Large Language Models

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2304.00008.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2304.00008 v5

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T19:48:54.085087Z

measured 0 of 1 external citation measurements

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 2026-08-10T06:31:04.303077+00:00.

Observation dfc58b44-2fcb-419a-b6b2-db99ed8a51ab · inbound

Fine-Tuned LLMs are "Time Capsules" for Tracking Societal Bias Through Books cites this paper.

Fine-Tuned LLMs are "Time Capsules" for Tracking Societal Bias Through Books On the Creativity of Large Language Models

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-08T19:48:54.085087Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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 2026-08-10T06:31:04.303077+00:00.