Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Robust Conversational Agents against Imperceptible Toxicity Triggers
As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2205.02392.
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 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T15:40:53.173249Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-23T00:15:14.798938Z
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 0f31c866-6799-46dd-adb9-bf023f65313d · inbound
Are Language Models Agnostic to Linguistically Grounded Perturbations? A Case Study of Indic Languages cites this paper.
Are Language Models Agnostic to Linguistically Grounded Perturbations? A Case Study of Indic Languages Robust Conversational Agents against Imperceptible Toxicity Triggers
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T15:40:53.173249Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 42180de9-4d5b-4b7d-bed6-6c96075f55ef · inbound
Diverse and Effective Red Teaming with Auto-generated Rewards and Multi-step Reinforcement Learning cites this paper.
Diverse and Effective Red Teaming with Auto-generated Rewards and Multi-step Reinforcement Learning Robust Conversational Agents against Imperceptible Toxicity Triggers
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T04:38:36.841457Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 32175421-acab-43f9-8c57-2e5a0b8ad977 · inbound
RedDiffuser: Auditing Multimodal Safety Failures in Vision-Language Models via Reinforced Diffusion cites this paper.
RedDiffuser: Auditing Multimodal Safety Failures in Vision-Language Models via Reinforced Diffusion Robust Conversational Agents against Imperceptible Toxicity Triggers
Reference 38
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T00:15:14.801051Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.