Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Harmful YouTube Video Detection: A Taxonomy of Online Harm and MLLMs as Alternative Annotators
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2411.05854.
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 2026-08-10T16:25:33.019515Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-25T04:25:19.800294Z
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 479b0ad4-65ab-425b-957f-9f670da029ed · inbound
Re-ranking Using Large Language Models for Mitigating Exposure to Harmful Content on Social Media Platforms cites this paper.
Re-ranking Using Large Language Models for Mitigating Exposure to Harmful Content on Social Media Platforms Harmful YouTube Video Detection: A Taxonomy of Online Harm and MLLMs as Alternative Annotators
Reference 33
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T16:25:33.019515Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bd99ed6b-6a6e-4187-8725-57b26c834610 · inbound
Evaluating AI capabilities in detecting conspiracy theories on YouTube cites this paper.
Evaluating AI capabilities in detecting conspiracy theories on YouTube Harmful YouTube Video Detection: A Taxonomy of Online Harm and MLLMs as Alternative Annotators
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:46:43.328263Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 87caf8c5-d8e0-482c-ac26-a61e146618be · inbound
When Youth Enter the Algorithmic Wild: Discovering and Understanding Potentially Harmful Teen Videos on Douyin and Kwai cites this paper.
When Youth Enter the Algorithmic Wild: Discovering and Understanding Potentially Harmful Teen Videos on Douyin and Kwai Harmful YouTube Video Detection: A Taxonomy of Online Harm and MLLMs as Alternative Annotators
Reference 24
- Resolution
- verified exact
- arxiv_id, observed 2026-05-25T04:25:19.802814Z
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 d457b03c-1264-4f39-8b0f-2622dd8f855b · inbound
Child-Oriented AIGC Video Risk Reviewing: A Benchmark and Knowledge-Supported Iterative Reasoning Framework cites this paper.
Child-Oriented AIGC Video Risk Reviewing: A Benchmark and Knowledge-Supported Iterative Reasoning Framework Harmful YouTube Video Detection: A Taxonomy of Online Harm and MLLMs as Alternative Annotators
Reference 33
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T13:13:53.925015Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.