Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Root Defence Strategies: Ensuring Safety of LLM at the Decoding Level
As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2410.06809.
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 2026-08-11T06:34:44.6726+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-09T16:18:40.714261Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T10:39:08.501889Z
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 4c174fe1-5db0-4db6-bd00-cded87ecad8d · inbound
On Almost Surely Safe Alignment of Large Language Models at Inference-Time cites this paper.
On Almost Surely Safe Alignment of Large Language Models at Inference-Time Root Defence Strategies: Ensuring Safety of LLM at the Decoding Level
Reference 50
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T16:18:40.714261Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8bf99afd-e3bd-40b5-a05c-3b19fdda406d · inbound
Beyond Surface-Level Detection: Towards Cognitive-Driven Defense Against Jailbreak Attacks via Meta-Operations Reasoning cites this paper.
Beyond Surface-Level Detection: Towards Cognitive-Driven Defense Against Jailbreak Attacks via Meta-Operations Reasoning Root Defence Strategies: Ensuring Safety of LLM at the Decoding Level
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T04:47:24.139384Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 39147968-2e08-4d24-a65c-d5434be749fb · inbound
A Survey on Training-free Alignment of Large Language Models cites this paper.
A Survey on Training-free Alignment of Large Language Models Root Defence Strategies: Ensuring Safety of LLM at the Decoding Level
Reference 98
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T21:18:49.843031Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6eb57aa1-a29f-43d4-abae-a9e23073b365 · inbound
A Comprehensive Survey on Trustworthiness in Reasoning with Large Language Models cites this paper.
A Comprehensive Survey on Trustworthiness in Reasoning with Large Language Models Root Defence Strategies: Ensuring Safety of LLM at the Decoding Level
Reference 266
- Resolution
- verified exact
- local_arxiv, observed 2026-08-05T10:39:08.507360Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation d8fcfa26-6ad1-49b9-bcbb-a9498d0eda06 · inbound
SoK: Systematizing LLM Prompt Security: Taxonomies, Datasets, and Unified Evaluation of Attacks and Defenses cites this paper.
SoK: Systematizing LLM Prompt Security: Taxonomies, Datasets, and Unified Evaluation of Attacks and Defenses Root Defence Strategies: Ensuring Safety of LLM at the Decoding Level
Reference 225
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T09:25:58.204145Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.