Paper Citation Record · LEDGER

SafetyPrompts: a Systematic Review of Open Datasets for Evaluating and Improving Large Language Model Safety

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2404.05399.

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

pith.paper-citation-record.v1
2404.05399 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T15:06:55.258331Z

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

4
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 df429bb7-57ef-4a1d-b322-874352820a3f · inbound

Harmful Fine-tuning Attacks and Defenses for Large Language Models: A Survey cites this paper.

Harmful Fine-tuning Attacks and Defenses for Large Language Models: A Survey SafetyPrompts: a Systematic Review of Open Datasets for Evaluating and Improving Large Language Model Safety

Reference 130

Resolution: verified exact; arxiv_id, observed 2026-05-23T20:58:26.340665Z

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.

Observation b9781829-87d8-42f1-86ca-70eb5debe28d · inbound

Can We Trust AI Benchmarks? An Interdisciplinary Review of Current Issues in AI Evaluation cites this paper.

Can We Trust AI Benchmarks? An Interdisciplinary Review of Current Issues in AI Evaluation SafetyPrompts: a Systematic Review of Open Datasets for Evaluating and Improving Large Language Model Safety

Reference 110

Resolution: unresolved; no resolver link, observed 2026-08-08T15:06:55.258331Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 21b96249-913d-4112-89c4-a794bb68a231 · inbound

Surfacing Semantic Orthogonality Across Model Safety Benchmarks: A Multi-Dimensional Analysis cites this paper.

Surfacing Semantic Orthogonality Across Model Safety Benchmarks: A Multi-Dimensional Analysis SafetyPrompts: a Systematic Review of Open Datasets for Evaluating and Improving Large Language Model Safety

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T14:47:15.353466Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9864cccf-0cc0-4dd0-ae40-dd1ba2cc2953 · inbound

Evaluating Chinese Large Language Models: The Influence of Persona Assignment on Stereotypes and Safeguards cites this paper.

Evaluating Chinese Large Language Models: The Influence of Persona Assignment on Stereotypes and Safeguards SafetyPrompts: a Systematic Review of Open Datasets for Evaluating and Improving Large Language Model Safety

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-07T10:36:38.658571Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fffd0edc-3cf8-41c0-959d-51eee22ef52e · inbound

HuggingGraph: Understanding the Supply Chain of LLM Ecosystem cites this paper.

HuggingGraph: Understanding the Supply Chain of LLM Ecosystem SafetyPrompts: a Systematic Review of Open Datasets for Evaluating and Improving Large Language Model Safety

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-06T16:29:10.437279Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8fbc3005-0f5d-4311-b4d6-a998d370b006 · inbound

Evaluating AI-Generated Images of Cultural Artifacts with Community-Informed Rubrics cites this paper.

Evaluating AI-Generated Images of Cultural Artifacts with Community-Informed Rubrics SafetyPrompts: a Systematic Review of Open Datasets for Evaluating and Improving Large Language Model Safety

Reference 98

Resolution: verified exact; arxiv_id, observed 2026-05-13T21:03:20.065909Z

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.

Observation e12dbdf0-ab72-48e6-a880-dd1cfc49b092 · inbound

Evaluating AI-Generated Images of Cultural Artifacts with Community-Informed Rubrics cites this paper.

Evaluating AI-Generated Images of Cultural Artifacts with Community-Informed Rubrics SafetyPrompts: a Systematic Review of Open Datasets for Evaluating and Improving Large Language Model Safety

Reference 98

Resolution: verified exact; arxiv_id, observed 2026-05-21T10:40:00.752462Z

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.

Observation 24c18688-a8fc-4989-bbbd-8a1edae3b3bb · inbound

Safety is Contextual, LLM-Judges Are Not: Navigating the Rigid Priors of Evaluators cites this paper.

Safety is Contextual, LLM-Judges Are Not: Navigating the Rigid Priors of Evaluators SafetyPrompts: a Systematic Review of Open Datasets for Evaluating and Improving Large Language Model Safety

Reference 38

Resolution: metadata mismatch; arxiv_id, observed 2026-06-27T21:41:18.499826Z

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.