Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Do large language models resemble humans in language use?
As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2303.08014.
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 2026-08-12T06:34:41.77262+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T11:15:32.618166Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-10T20:38:53.096945Z
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 0003e1c7-7232-4aca-a185-e3fb5264bfd4 · inbound
Politicians vs ChatGPT. A study of presuppositions in French and Italian political communication cites this paper.
Politicians vs ChatGPT. A study of presuppositions in French and Italian political communication Do large language models resemble humans in language use?
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T11:15:32.618166Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 956ec1a8-0d68-42e9-bbab-17d210dd4661 · inbound
Syntactic Evolution in Language Usage cites this paper.
Syntactic Evolution in Language Usage Do large language models resemble humans in language use?
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T22:16:51.923522Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation efa759ee-2609-4733-aa08-daf6ecc0ef3c · inbound
Agent-Centric Projection of Prompting Techniques and Implications for Synthetic Training Data for Large Language Models cites this paper.
Agent-Centric Projection of Prompting Techniques and Implications for Synthetic Training Data for Large Language Models Do large language models resemble humans in language use?
Reference 2
- Resolution
- verified exact
- local_arxiv, observed 2026-08-10T20:38:53.102984Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.