Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Shaping the Safety Boundaries: Understanding and Defending Against Jailbreaks in Large Language Models
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2412.17034.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T15:23:01.399521Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T17:37:14.918785Z
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 b83560eb-6c72-4f8f-bc06-60b13f5dd309 · inbound
Audio Jailbreak: An Open Comprehensive Benchmark for Jailbreaking Large Audio-Language Models cites this paper.
Audio Jailbreak: An Open Comprehensive Benchmark for Jailbreaking Large Audio-Language Models Shaping the Safety Boundaries: Understanding and Defending Against Jailbreaks in Large Language Models
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:23:01.399521Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 03bc869b-8a66-43da-83aa-dfba094f8186 · inbound
VSCBench: Bridging the Gap in Vision-Language Model Safety Calibration cites this paper.
VSCBench: Bridging the Gap in Vision-Language Model Safety Calibration Shaping the Safety Boundaries: Understanding and Defending Against Jailbreaks in Large Language Models
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:13:10.866739Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 954456f8-4bf4-48d7-8406-c4d614839bae · inbound
Con Instruction: Universal Jailbreaking of Multimodal Large Language Models via Non-Textual Modalities cites this paper.
Con Instruction: Universal Jailbreaking of Multimodal Large Language Models via Non-Textual Modalities Shaping the Safety Boundaries: Understanding and Defending Against Jailbreaks in Large Language Models
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:07:58.929188Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0dac8ef6-6477-455b-bf29-81049e1406ef · inbound
Probing the Robustness of Large Language Models Safety to Latent Perturbations cites this paper.
Probing the Robustness of Large Language Models Safety to Latent Perturbations Shaping the Safety Boundaries: Understanding and Defending Against Jailbreaks in Large Language Models
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T23:49:14.203220Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5eb63a85-64b7-46f4-a4b7-18449173e532 · inbound
LLM in the Middle: A Systematic Review of Threats and Mitigations to Real-World LLM-based Systems cites this paper.
LLM in the Middle: A Systematic Review of Threats and Mitigations to Real-World LLM-based Systems Shaping the Safety Boundaries: Understanding and Defending Against Jailbreaks in Large Language Models
Reference 100
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T17:46:18.543469Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 46a53fd7-b283-434a-8f45-3a266a9a2acb · inbound
SAID: Safety-Aware Intent Defense via Prefix Probing for Large Language Models cites this paper.
SAID: Safety-Aware Intent Defense via Prefix Probing for Large Language Models Shaping the Safety Boundaries: Understanding and Defending Against Jailbreaks in Large Language Models
Reference 9
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T05:25:54.605699Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 29227c06-44cc-4f2c-b5c1-03417af72ae0 · inbound
Defending Jailbreak Attacks on Large Language Models via Manifold Trajectory Kinetics cites this paper.
Defending Jailbreak Attacks on Large Language Models via Manifold Trajectory Kinetics Shaping the Safety Boundaries: Understanding and Defending Against Jailbreaks in Large Language Models
Reference 29
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T17:37:14.920303Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 6aff0174-89f8-4400-9339-e03518ed1ffd · inbound
Addressing Over-Refusal in LLMs with Competing Rewards cites this paper.
Addressing Over-Refusal in LLMs with Competing Rewards Shaping the Safety Boundaries: Understanding and Defending Against Jailbreaks in Large Language Models
Reference 70
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T08:55:35.539005Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation edfb52eb-3352-40f1-a6cf-383f38025d43 · inbound
GhostPrompt: Cross-Image Adversarial Prompt for Vision-Language Models cites this paper.
GhostPrompt: Cross-Image Adversarial Prompt for Vision-Language Models Shaping the Safety Boundaries: Understanding and Defending Against Jailbreaks in Large Language Models
Reference 2024
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T12:04:22.904927Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.