Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Why Linguistics Will Thrive in the 21st Century: A Reply to Piantadosi (2023)
As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2308.03228.
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 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T19:40:05.178137Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-23T21:55:50.868128Z
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 88be9181-18ac-4250-acff-773ecb9ba49e · inbound
A systematic framework for generating novel experimental hypotheses from language models cites this paper.
A systematic framework for generating novel experimental hypotheses from language models Why Linguistics Will Thrive in the 21st Century: A Reply to Piantadosi (2023)
Reference 68
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T21:55:50.870751Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 02341c8b-4684-43f1-b9f2-961982b42c42 · inbound
On the Compatibility of Generative AI and Generative Linguistics cites this paper.
On the Compatibility of Generative AI and Generative Linguistics Why Linguistics Will Thrive in the 21st Century: A Reply to Piantadosi (2023)
Reference 58
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T19:40:05.178137Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e05ad0f9-0b43-4f47-ae5f-9a18e7a1671b · inbound
Linear representations of grammaticality in neural language models cites this paper.
Linear representations of grammaticality in neural language models Why Linguistics Will Thrive in the 21st Century: A Reply to Piantadosi (2023)
Reference 114
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T23:59:44.564435Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.