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Paper Citation Record · LEDGER

Do large language models resemble humans in language use?

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2303.08014.

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

pith.paper-citation-record.v1
2303.08014 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:16:51.923522Z

measured 0 of 1 external citation measurements

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 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.

source=pdf_text observed=2026-08-10T22:16:51.923522Z digest=sha256:87ef9c53ed0db8aa0351684c4861bdbadea14a38682c343527b490fda130f800

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T20:38:52.584737Z digest=sha256:3bda388cf08cf1e711b21aa0259a0be114bb83a8a3110eb7906cbd0190f19c5e