Paper Citation Record · LEDGER

Understanding Generative AI Risks for Youth: A Taxonomy Based on Empirical Data

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2502.16383.

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

pith.paper-citation-record.v1
2502.16383 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T19:55:56.600400Z

measured 1 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

1
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation fa75ef03-97f1-45ba-89fb-3dbcf4daeaf7 · inbound

YouthSafe: A Youth-Centric Safety Benchmark and Safeguard Model for Large Language Models cites this paper.

YouthSafe: A Youth-Centric Safety Benchmark and Safeguard Model for Large Language Models Understanding Generative AI Risks for Youth: A Taxonomy Based on Empirical Data

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-04T19:55:56.600400Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5a679acf-c098-4cfa-9c29-896ac1b4d41e · inbound

Culturally Aware GenAI Risks for Youth: Perspectives from Youth, Parents, and Teachers in a Non-Western Context cites this paper.

Culturally Aware GenAI Risks for Youth: Perspectives from Youth, Parents, and Teachers in a Non-Western Context Understanding Generative AI Risks for Youth: A Taxonomy Based on Empirical Data

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-12T09:11:27.746092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 86f0d54d-a495-4bbb-8cec-2329f7b6907e · inbound

RiskNet: A large-scale dataset of AI risk incidents from news with alignment and multi-dimensional annotations cites this paper.

RiskNet: A large-scale dataset of AI risk incidents from news with alignment and multi-dimensional annotations Understanding Generative AI Risks for Youth: A Taxonomy Based on Empirical Data

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-06-27T18:41:07.927719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 59ec2630-3b41-4e7f-8c34-1cef97f33c13 · inbound

CAREBench: A Child-Safety Risk Benchmark for Language Models cites this paper.

CAREBench: A Child-Safety Risk Benchmark for Language Models Understanding Generative AI Risks for Youth: A Taxonomy Based on Empirical Data

Reference 57

Resolution: verified exact; arxiv_id, observed 2026-06-30T07:04:21.872451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 36ffc700-3366-44a6-a9d5-182f74b3bce7 · inbound

Child Safety in Generative AI: An Expert-Guided and Incident-Grounded Evaluation Framework cites this paper.

Child Safety in Generative AI: An Expert-Guided and Incident-Grounded Evaluation Framework Understanding Generative AI Risks for Youth: A Taxonomy Based on Empirical Data

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-07-02T07:06:43.556959Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4ed6ee83-859c-4764-999e-b9fd1e59cda7 · inbound

Position: Preventing AI-Generated CSAM Necessitates New Approaches to AI Safety cites this paper.

Position: Preventing AI-Generated CSAM Necessitates New Approaches to AI Safety Understanding Generative AI Risks for Youth: A Taxonomy Based on Empirical Data

Reference 161

Resolution: unresolved; no resolver link, observed 2026-07-12T14:28:50.627444Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.