Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Know Your Audience: Do LLMs Adapt to Different Age and Education Levels?
As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2312.02065.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T00:07:41.426673Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-10T06:56:47.661284Z
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 0670f45c-1b8e-44af-ac69-d28a8da7ddae · inbound
Position: Theory of Mind Benchmarks are Broken for Large Language Models cites this paper.
Position: Theory of Mind Benchmarks are Broken for Large Language Models Know Your Audience: Do LLMs Adapt to Different Age and Education Levels?
Reference 92
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T00:07:41.426673Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 25c02a5a-db91-45fa-8248-7f6caede91e4 · inbound
BIASEDTALES-ML: A Multilingual Dataset for Analyzing Narrative Attribute Distributions in LLM-Generated Stories cites this paper.
BIASEDTALES-ML: A Multilingual Dataset for Analyzing Narrative Attribute Distributions in LLM-Generated Stories Know Your Audience: Do LLMs Adapt to Different Age and Education Levels?
Reference 21
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T06:56:47.662550Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 6490a8b8-bf8a-452d-b7cb-338e5b6b3d5c · inbound
Can LLM Code Explanations Adapt to Diverse Problem-Solvers' Needs? cites this paper.
Can LLM Code Explanations Adapt to Diverse Problem-Solvers' Needs? Know Your Audience: Do LLMs Adapt to Different Age and Education Levels?
Reference 70
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T19:20:30.949274Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.