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Paper Citation Record · LEDGER

Characterising the Creative Process in Humans and Large Language Models

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2405.00899.

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

pith.paper-citation-record.v1
2405.00899 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T17:14:45.623794Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-20T11:28:14.432532Z

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 817bca97-dc4e-4595-846f-1def25f7d7fa · inbound

Pencils to Pixels: A Systematic Study of Creative Drawings across Children, Adults and AI cites this paper.

Pencils to Pixels: A Systematic Study of Creative Drawings across Children, Adults and AI Characterising the Creative Process in Humans and Large Language Models

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-08T17:14:45.623794Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T17:14:45.623794Z digest=sha256:913b9c905e0a4acb08e6e21f496cbdfb9eb56a643ff594dc0b05f3c8b96ad297

Observation 0d1bdc33-c100-4c6d-9621-38acb2cb02f0 · inbound

Dynamic Reinforcement Learning for Actors cites this paper.

Dynamic Reinforcement Learning for Actors Characterising the Creative Process in Humans and Large Language Models

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-07T19:07:25.319587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T19:07:25.319587Z digest=sha256:32d35ab3a8a233c2fd60a4674df4f117faa486893028f771fdb62a71636ba2d5

Observation 9889d7f4-9eaa-4aa2-a150-1644ab2e6b75 · inbound

Next Token Prediction Is a Dead End for Creativity cites this paper.

Next Token Prediction Is a Dead End for Creativity Characterising the Creative Process in Humans and Large Language Models

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-07T14:20:38.382953Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:20:38.382953Z digest=sha256:1e5f72946db862cb1fbfe212e32f9e098ef0511679521144067006f4c3441329

Observation e534fa98-27a7-45db-bfca-874fa07d3aae · inbound

Multi-agent AI systems outperform human teams in creativity cites this paper.

Multi-agent AI systems outperform human teams in creativity Characterising the Creative Process in Humans and Large Language Models

Reference 34

Resolution
malformed identifier
arxiv_id, observed 2026-05-20T11:28:14.433882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-20T11:26:03.120288Z digest=sha256:c351ac52be5c77ccc82b83ebdc819f820743edda8876b3bf5f1da12057073f55