Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Advancing Content Moderation: Evaluating Large Language Models for Detecting Sensitive Content Across Text, Images, and Videos
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2411.17123.
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 2026-08-07T12:50:43.712973Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T01:47:31.656964Z
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 3ba0aa58-0252-486b-ac7a-61fcc672906a · inbound
VModA: An Effective Framework for Adaptive NSFW Image Moderation cites this paper.
VModA: An Effective Framework for Adaptive NSFW Image Moderation Advancing Content Moderation: Evaluating Large Language Models for Detecting Sensitive Content Across Text, Images, and Videos
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:50:43.712973Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 82e7eab4-9dbf-4d42-a2bd-f574b9083d1c · inbound
Beyond Binary Moderation: Identifying Fine-Grained Sexist and Misogynistic Behavior on GitHub with Large Language Models cites this paper.
Beyond Binary Moderation: Identifying Fine-Grained Sexist and Misogynistic Behavior on GitHub with Large Language Models Advancing Content Moderation: Evaluating Large Language Models for Detecting Sensitive Content Across Text, Images, and Videos
Reference 39
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T13:39:34.449212Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 579e59b2-eb27-4252-9363-87d0b8f9620d · inbound
Benchmarking the Legal Reasoning of LLMs in Arabic Islamic Inheritance Cases cites this paper.
Benchmarking the Legal Reasoning of LLMs in Arabic Islamic Inheritance Cases Advancing Content Moderation: Evaluating Large Language Models for Detecting Sensitive Content Across Text, Images, and Videos
Reference 2025
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T20:56:16.175755Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fe37ee3c-d14f-4134-9ce9-42faa69e4868 · inbound
Dynamic Content Moderation in Livestreams: Combining Supervised Classification with MLLM-Boosted Similarity Matching cites this paper.
Dynamic Content Moderation in Livestreams: Combining Supervised Classification with MLLM-Boosted Similarity Matching Advancing Content Moderation: Evaluating Large Language Models for Detecting Sensitive Content Across Text, Images, and Videos
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T18:48:52.712658Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation aa964fd3-05e7-4338-b0e0-6d494f2834fd · inbound
Why Do Large Language Models Generate Harmful Content? cites this paper.
Why Do Large Language Models Generate Harmful Content? Advancing Content Moderation: Evaluating Large Language Models for Detecting Sensitive Content Across Text, Images, and Videos
Reference 1
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T10:21:04.854884Z
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 358b40a3-4536-4fe0-adf4-6484fa51d52a · inbound
RuleSafe-VL: Evaluating Rule-Conditioned Decision Reasoning in Vision-Language Content Moderation cites this paper.
RuleSafe-VL: Evaluating Rule-Conditioned Decision Reasoning in Vision-Language Content Moderation Advancing Content Moderation: Evaluating Large Language Models for Detecting Sensitive Content Across Text, Images, and Videos
Reference 14
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T03:15:54.775338Z
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 9083e65b-d586-4e51-98f7-21179eac9641 · inbound
What the Eyes See, the LLMs Miss: Exploiting Human Perception for Adversarial Text Attacks cites this paper.
What the Eyes See, the LLMs Miss: Exploiting Human Perception for Adversarial Text Attacks Advancing Content Moderation: Evaluating Large Language Models for Detecting Sensitive Content Across Text, Images, and Videos
Reference 3
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T01:47:31.658925Z
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 e5410e1b-f5a5-413f-b41f-5ca4a83d1b58 · inbound
From Failure Taxonomy to Intervention: A Diagnostic Methodology for Industry-Scale AVLM in Video and Live-Streaming Platform Moderation cites this paper.
From Failure Taxonomy to Intervention: A Diagnostic Methodology for Industry-Scale AVLM in Video and Live-Streaming Platform Moderation Advancing Content Moderation: Evaluating Large Language Models for Detecting Sensitive Content Across Text, Images, and Videos
Reference 1
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-06-30T07:24:21.907023Z
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.