Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Risk Taxonomy, Mitigation, and Assessment Benchmarks of Large Language Model Systems
As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2401.05778.
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 2026-08-04T06:34:03.388597+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-03T18:19:13.286477Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-10T06:15:00.866473Z
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 6168502d-703b-4eb4-8156-806726f466de · inbound
AI Safety Landscape for Large Language Models: Taxonomy, State-of-the-art, and Future Directions cites this paper.
AI Safety Landscape for Large Language Models: Taxonomy, State-of-the-art, and Future Directions Risk Taxonomy, Mitigation, and Assessment Benchmarks of Large Language Model Systems
Reference 154
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T21:55:50.258241Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 4cf148f4-51e3-42b0-b3f8-7a3bad67018b · inbound
LLM Harms: A Taxonomy and Discussion cites this paper.
LLM Harms: A Taxonomy and Discussion Risk Taxonomy, Mitigation, and Assessment Benchmarks of Large Language Model Systems
Reference 39
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T00:31:24.522746Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation f7d56a63-44af-43cc-80d3-ddc959003148 · inbound
LLM Harms: A Taxonomy and Discussion cites this paper.
LLM Harms: A Taxonomy and Discussion Risk Taxonomy, Mitigation, and Assessment Benchmarks of Large Language Model Systems
Reference 38
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T18:19:13.286477Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9c0c8d93-c5f2-4c03-935f-ce44e1ab8c0c · inbound
PERSA: Reinforcement Learning for Professor-Style Personalized Feedback with LLMs cites this paper.
PERSA: Reinforcement Learning for Professor-Style Personalized Feedback with LLMs Risk Taxonomy, Mitigation, and Assessment Benchmarks of Large Language Model Systems
Reference 23
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T15:51:42.778809Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 819939ce-e29d-41f4-91ea-b3c4318f3f83 · inbound
SafeCtrl-RL: Inference-Time Adaptive Behaviour Control for LLM Dialogue via RL-Driven Prompt Optimisation cites this paper.
SafeCtrl-RL: Inference-Time Adaptive Behaviour Control for LLM Dialogue via RL-Driven Prompt Optimisation Risk Taxonomy, Mitigation, and Assessment Benchmarks of Large Language Model Systems
Reference 1
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-06-29T21:43:59.720008Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 3683ed4f-99cf-4f49-aa66-0cdd8dfcce82 · inbound
Adversarial Diffusion Across Modalities: A Fusion Survey of Attacks, Defenses, and Evaluation for Text, Vision, and Vision-Language Models cites this paper.
Adversarial Diffusion Across Modalities: A Fusion Survey of Attacks, Defenses, and Evaluation for Text, Vision, and Vision-Language Models Risk Taxonomy, Mitigation, and Assessment Benchmarks of Large Language Model Systems
Reference 10
- Resolution
- verified exact
- arxiv_id, observed 2026-06-26T04:38:59.234634Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.