Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
How Well Do Large Language Models Understand Syntax? An Evaluation by Asking Natural Language Questions
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2311.08287.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-03T11:32:00.119326Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-21T05:04:37.189574Z
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 e285b8ed-5c48-4c74-a978-dcfc071f46c2 · inbound
The Grammar of Transformers: A Systematic Review of Interpretability Research on Syntactic Knowledge in Language Models cites this paper.
The Grammar of Transformers: A Systematic Review of Interpretability Research on Syntactic Knowledge in Language Models How Well Do Large Language Models Understand Syntax? An Evaluation by Asking Natural Language Questions
Reference 38
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T11:32:00.119326Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7d636e38-b975-4726-bb80-a5c101bca9e4 · inbound
Tracing the ongoing emergence of human-like reasoning in Large Language Models cites this paper.
Tracing the ongoing emergence of human-like reasoning in Large Language Models How Well Do Large Language Models Understand Syntax? An Evaluation by Asking Natural Language Questions
Reference 21
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T05:04:37.191396Z
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.