Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Trojan Activation Attack: Red-Teaming Large Language Models using Activation Steering for Safety-Alignment
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:2311.09433.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T14:27:03.694102Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T00:27:29.192379Z
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 3a09ebe2-8c9d-406f-af79-8900035ef1a4 · inbound
Refusal in Language Models Is Mediated by a Single Direction cites this paper.
Refusal in Language Models Is Mediated by a Single Direction Trojan Activation Attack: Red-Teaming Large Language Models using Activation Steering for Safety-Alignment
Reference 194
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T10:47:56.141141Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 42c003f5-cb69-47c0-9099-d328c904716e · inbound
AgentReview: Exploring Peer Review Dynamics with LLM Agents cites this paper.
AgentReview: Exploring Peer Review Dynamics with LLM Agents Trojan Activation Attack: Red-Teaming Large Language Models using Activation Steering for Safety-Alignment
Reference 51
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T23:38:37.121335Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation ebb851fd-c435-49bb-a464-ee806890944b · inbound
Harmful Fine-tuning Attacks and Defenses for Large Language Models: A Survey cites this paper.
Harmful Fine-tuning Attacks and Defenses for Large Language Models: A Survey Trojan Activation Attack: Red-Teaming Large Language Models using Activation Steering for Safety-Alignment
Reference 155
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T20:58:26.320120Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 15125eaa-6240-4c15-bf31-a7767070f8d6 · inbound
Security Concerns for Large Language Models: A Survey cites this paper.
Security Concerns for Large Language Models: A Survey Trojan Activation Attack: Red-Teaming Large Language Models using Activation Steering for Safety-Alignment
Reference 67
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:27:03.694102Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7b6adedc-a47d-4cdd-96cd-7504bbb58849 · 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 Trojan Activation Attack: Red-Teaming Large Language Models using Activation Steering for Safety-Alignment
Reference 38
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T23:49:17.484246Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 180e7a9a-bfa9-40af-a697-a47145e9befa · inbound
Layer-Wise Perturbations via Sparse Autoencoders for Adversarial Text Generation cites this paper.
Layer-Wise Perturbations via Sparse Autoencoders for Adversarial Text Generation Trojan Activation Attack: Red-Teaming Large Language Models using Activation Steering for Safety-Alignment
Reference 48
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T20:31:37.044270Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fdcaea98-406f-4a1e-8a4a-c9766de5394c · inbound
Turning the Spell Around: Lightweight Alignment Amplification via Rank-One Safety Injection cites this paper.
Turning the Spell Around: Lightweight Alignment Amplification via Rank-One Safety Injection Trojan Activation Attack: Red-Teaming Large Language Models using Activation Steering for Safety-Alignment
Reference 48
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T14:57:12.929314Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4166b559-ecfe-405c-863f-59b3cf19d032 · inbound
Breaking to Build: A Threat Model of Prompt-Based Attacks for Securing LLMs cites this paper.
Breaking to Build: A Threat Model of Prompt-Based Attacks for Securing LLMs Trojan Activation Attack: Red-Teaming Large Language Models using Activation Steering for Safety-Alignment
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T05:59:28.669109Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c70146f0-2fba-4554-9a18-c148d61dcb7e · inbound
Breaking to Build: A Threat Model of Prompt-Based Attacks for Securing LLMs cites this paper.
Breaking to Build: A Threat Model of Prompt-Based Attacks for Securing LLMs Trojan Activation Attack: Red-Teaming Large Language Models using Activation Steering for Safety-Alignment
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T05:59:28.741450Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 392ef71b-f54a-460c-9979-0a6a0328f509 · inbound
Paladin: Defending LLM-enabled Phishing Emails with a New Trigger-Tag Paradigm cites this paper.
Paladin: Defending LLM-enabled Phishing Emails with a New Trigger-Tag Paradigm Trojan Activation Attack: Red-Teaming Large Language Models using Activation Steering for Safety-Alignment
Reference 33
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T22:33:23.762799Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 669b354d-6352-46b5-ae79-5dd23e4f80a3 · inbound
Steering Protein Language Models cites this paper.
Steering Protein Language Models Trojan Activation Attack: Red-Teaming Large Language Models using Activation Steering for Safety-Alignment
Reference 41
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T21:10:12.120075Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation df99dcde-4a01-4892-a680-119eedabcf21 · inbound
On the Privacy of LLMs: An Ablation Study cites this paper.
On the Privacy of LLMs: An Ablation Study Trojan Activation Attack: Red-Teaming Large Language Models using Activation Steering for Safety-Alignment
Reference 30
- Resolution
- verified exact
- arxiv_id, observed 2026-05-09T06:25:48.822645Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 78740697-7847-4edf-8364-1f2f8a477cf4 · inbound
Distilling Safe LLM Systems via Soft Prompts for On Device Settings cites this paper.
Distilling Safe LLM Systems via Soft Prompts for On Device Settings Trojan Activation Attack: Red-Teaming Large Language Models using Activation Steering for Safety-Alignment
Reference 70
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-03T00:27:29.194109Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.