Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
"Understanding AI": Semantic Grounding in Large Language Models
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2402.10992.
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 2026-08-04T21:29:55.543010Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T08:59:42.253550Z
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 40536265-2e05-4fbe-b41f-71f84ce98013 · inbound
Probing the Preferences of a Language Model: Integrating Verbal and Behavioral Tests of AI Welfare cites this paper.
Probing the Preferences of a Language Model: Integrating Verbal and Behavioral Tests of AI Welfare "Understanding AI": Semantic Grounding in Large Language Models
Reference 10
- Resolution
- malformed identifier
- no resolver link, observed 2026-08-04T21:29:55.543010Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 27d73883-6081-4051-82d1-4bdc070be565 · inbound
Neuroscience-Inspired Analyses of Visual Interestingness in Multimodal Transformers cites this paper.
Neuroscience-Inspired Analyses of Visual Interestingness in Multimodal Transformers "Understanding AI": Semantic Grounding in Large Language Models
Reference 59
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T07:51:48.077343Z
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 24a27afe-16cc-44c0-8082-c57770b09ee7 · inbound
Words as Difference Makers: How Large Language Models Determine Causal Structure in Text cites this paper.
Words as Difference Makers: How Large Language Models Determine Causal Structure in Text "Understanding AI": Semantic Grounding in Large Language Models
Reference 10
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T08:59:42.254973Z
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.