Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Improved Few-Shot Jailbreaking Can Circumvent Aligned Language Models and Their Defenses
As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2406.01288.
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 2026-08-10T20:35:52.898323Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T19:50:11.193751Z
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 173496f5-42e2-412e-8760-c37a1c4e3b2a · inbound
JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models cites this paper.
JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models Improved Few-Shot Jailbreaking Can Circumvent Aligned Language Models and Their Defenses
Reference 60
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T06:08:05.552383Z
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.
Observation 0c0fc490-c1c6-4a4e-a3e5-b88db1df9cb5 · inbound
Jailbreak Attacks and Defenses Against Large Language Models: A Survey cites this paper.
Jailbreak Attacks and Defenses Against Large Language Models: A Survey Improved Few-Shot Jailbreaking Can Circumvent Aligned Language Models and Their Defenses
Reference 120
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T02:20:44.513821Z
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.
Observation 1f9f5f83-9ceb-4d85-b6b7-63b0cdaa32b1 · inbound
Self-Instruct Few-Shot Jailbreaking: Decompose the Attack into Pattern and Behavior Learning cites this paper.
Self-Instruct Few-Shot Jailbreaking: Decompose the Attack into Pattern and Behavior Learning Improved Few-Shot Jailbreaking Can Circumvent Aligned Language Models and Their Defenses
Reference 52
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T20:35:52.898323Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 23119037-8784-4bda-8a5d-ad01d32a4e2b · inbound
Safety at Scale: A Comprehensive Survey of Large Model and Agent Safety cites this paper.
Safety at Scale: A Comprehensive Survey of Large Model and Agent Safety Improved Few-Shot Jailbreaking Can Circumvent Aligned Language Models and Their Defenses
Reference 96
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T04:42:34.262850Z
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.
Observation 21da2a50-cc45-46b1-bf0a-ac8480d8d34d · inbound
Layer-Wise Perturbations via Sparse Autoencoders for Adversarial Text Generation cites this paper.
Layer-Wise Perturbations via Sparse Autoencoders for Adversarial Text Generation Improved Few-Shot Jailbreaking Can Circumvent Aligned Language Models and Their Defenses
Reference 77
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T20:31:40.174290Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 03eb55cc-4cac-4976-91ed-f36dcd46cb38 · inbound
A Red Teaming Framework for Large Language Models: A Case Study on Faithfulness Evaluation cites this paper.
A Red Teaming Framework for Large Language Models: A Case Study on Faithfulness Evaluation Improved Few-Shot Jailbreaking Can Circumvent Aligned Language Models and Their Defenses
Reference 55
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-04T19:50:11.195703Z
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.
Observation 58f94bc2-8b51-4cdc-8426-73154f8d126b · inbound
A Red Teaming Framework for Large Language Models: A Case Study on Faithfulness Evaluation cites this paper.
A Red Teaming Framework for Large Language Models: A Case Study on Faithfulness Evaluation Improved Few-Shot Jailbreaking Can Circumvent Aligned Language Models and Their Defenses
Reference 55
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T10:16:41.977777Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.