Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
A Comparison of Large Language Model and Human Performance on Random Number Generation Tasks
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2408.09656.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-07-14T13:10:47.045131Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T01:56:28.050220Z
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 44144acf-8d58-459a-b4d4-0af86676dac2 · inbound
In Search of the Ingredients of Open-Endedness: Replicating Picbreeder with Large Vision-Language Models cites this paper.
In Search of the Ingredients of Open-Endedness: Replicating Picbreeder with Large Vision-Language Models A Comparison of Large Language Model and Human Performance on Random Number Generation Tasks
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-07-13T15:09:20.426018Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0715f8b3-bb13-49d1-8ebc-0456428e6369 · inbound
FLIPS: Instance-Fingerprinting for LLMs via Pseudo-random Sequences cites this paper.
FLIPS: Instance-Fingerprinting for LLMs via Pseudo-random Sequences A Comparison of Large Language Model and Human Performance on Random Number Generation Tasks
Reference 35
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T01:56:28.052406Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 029349fd-237f-4870-9a9b-497a8689ab5a · inbound
One Token Is Enough: Fingerprinting and Verifying Large Language Models from Single-Token Output Distributions cites this paper.
One Token Is Enough: Fingerprinting and Verifying Large Language Models from Single-Token Output Distributions A Comparison of Large Language Model and Human Performance on Random Number Generation Tasks
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-07-14T13:10:47.045131Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.