Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 63 inbound Pith citation observations for arXiv:2308.06463.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T22:41:27.842458Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-09T10:26:11.073540Z
0 of 0 outbound references displayed
External citation measurements
No source-named external measurement is stored.
No outbound reference observations are available for this paper version.
Observation f61039f2-9233-45ab-8844-f48251c0a235 · inbound
Low-Resource Languages Jailbreak GPT-4 GPT-4 Is Too Smart To Be Safe: Stealthy Chat with LLMs via Cipher
Reference 55
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 1e0f96ee-9d05-49d1-922f-9f53fb1f0d00 · inbound
AutoDAN: Generating Stealthy Jailbreak Prompts on Aligned Large Language Models GPT-4 Is Too Smart To Be Safe: Stealthy Chat with LLMs via Cipher
Reference 18
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 322b7129-6590-4282-a446-b73f7eaf3844 · inbound
Learning to Ask: When LLM Agents Meet Unclear Instruction GPT-4 Is Too Smart To Be Safe: Stealthy Chat with LLMs via Cipher
Reference 34
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 2a7ab1d8-fdaa-4c0b-8829-a7f4a30c3e39 · inbound
Does Safety Training of LLMs Generalize to Semantically Related Natural Prompts? GPT-4 Is Too Smart To Be Safe: Stealthy Chat with LLMs via Cipher
Reference 43
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 50a81d2a-a775-4586-a196-c270c647630c · inbound
LIAR: Leveraging Inference Time Alignment (Best-of-N) to Jailbreak LLMs in Seconds GPT-4 Is Too Smart To Be Safe: Stealthy Chat with LLMs via Cipher
Reference 77
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b7d80fef-5017-4c91-aaa1-1129a49dcf14 · inbound
Look Before You Leap: Enhancing Attention and Vigilance Regarding Harmful Content with GuidelineLLM GPT-4 Is Too Smart To Be Safe: Stealthy Chat with LLMs via Cipher
Reference 29
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 137eadbd-56b4-4846-a67d-8e4022145685 · inbound
JailPO: A Novel Black-box Jailbreak Framework via Preference Optimization against Aligned LLMs GPT-4 Is Too Smart To Be Safe: Stealthy Chat with LLMs via Cipher
Reference 38
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 51edbe05-782d-44f1-9cf5-0b0c48e7f1b8 · inbound
DiffusionAttacker: Diffusion-Driven Prompt Manipulation for LLM Jailbreak GPT-4 Is Too Smart To Be Safe: Stealthy Chat with LLMs via Cipher
Reference 39
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b821d2a3-1ac4-4adc-a409-77e24fda3655 · inbound
LLM360 K2: Building a 65B 360-Open-Source Large Language Model from Scratch GPT-4 Is Too Smart To Be Safe: Stealthy Chat with LLMs via Cipher
Reference 155
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 095ec9a2-ea40-4352-a2c7-27ea35e465f3 · inbound
Self-Instruct Few-Shot Jailbreaking: Decompose the Attack into Pattern and Behavior Learning GPT-4 Is Too Smart To Be Safe: Stealthy Chat with LLMs via Cipher
Reference 48
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d1729677-0533-44d4-922b-4874f4d38f52 · inbound
LLMs are Vulnerable to Malicious Prompts Disguised as Scientific Language GPT-4 Is Too Smart To Be Safe: Stealthy Chat with LLMs via Cipher
Reference 51
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 24215a34-9598-4fcd-a458-a9cae85f5bea · inbound
xJailbreak: Representation Space Guided Reinforcement Learning for Interpretable LLM Jailbreaking GPT-4 Is Too Smart To Be Safe: Stealthy Chat with LLMs via Cipher
Reference 7
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c561d7ab-4da3-4796-bef4-5b3ed7ffc3bd · inbound
Jailbreaking LLMs' Safeguard with Universal Magic Words for Text Embedding Models GPT-4 Is Too Smart To Be Safe: Stealthy Chat with LLMs via Cipher
Reference 44
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ed493799-d566-405d-aa80-3f587e1ba4f4 · inbound
Large Language Model Adversarial Landscape Through the Lens of Attack Objectives GPT-4 Is Too Smart To Be Safe: Stealthy Chat with LLMs via Cipher
Reference 2024
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 42c9a326-b592-4675-b531-0c2f61ac1e75 · inbound
Safety Reasoning with Guidelines GPT-4 Is Too Smart To Be Safe: Stealthy Chat with LLMs via Cipher
Reference 70
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f6012ba0-abe9-46d9-86b0-fa47570d8577 · inbound
Safety at Scale: A Comprehensive Survey of Large Model and Agent Safety GPT-4 Is Too Smart To Be Safe: Stealthy Chat with LLMs via Cipher
Reference 72
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation d770caef-559f-473c-ad9e-b1bdc2ad2504 · inbound
Jailbreaking to Jailbreak GPT-4 Is Too Smart To Be Safe: Stealthy Chat with LLMs via Cipher
Reference 51
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 25844ae7-1cff-4366-a129-75d7593c59d1 · inbound
Three Minds, One Legend: Jailbreak Large Reasoning Model with Adaptive Stacked Ciphers GPT-4 Is Too Smart To Be Safe: Stealthy Chat with LLMs via Cipher
Reference 38
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 00eaeda2-fadc-4cff-8b0c-0c3331b6c350 · inbound
Lifelong Safety Alignment for Language Models GPT-4 Is Too Smart To Be Safe: Stealthy Chat with LLMs via Cipher
Reference 59
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5c8b3860-2fa6-4cd5-a27d-726d7a764bc8 · inbound
Benign-to-Toxic Jailbreaking: Inducing Harmful Responses from Harmless Prompts GPT-4 Is Too Smart To Be Safe: Stealthy Chat with LLMs via Cipher
Reference 61
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 25ce4ff6-5ffe-4b86-864f-aa98df872c3b · inbound
From Hallucinations to Jailbreaks: Rethinking the Vulnerability of Large Foundation Models GPT-4 Is Too Smart To Be Safe: Stealthy Chat with LLMs via Cipher
Reference 24
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9be9595b-16d4-4dec-87c0-bc76a894d4a5 · inbound
Adversarial Preference Learning for Robust LLM Alignment GPT-4 Is Too Smart To Be Safe: Stealthy Chat with LLMs via Cipher
Reference 42
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5cffd341-abfa-4495-a903-16bbe2c8b757 · inbound
SafeTy Reasoning Elicitation Alignment for Multi-Turn Dialogues GPT-4 Is Too Smart To Be Safe: Stealthy Chat with LLMs via Cipher
Reference 24
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 85f15e9a-2344-4c10-ad7f-c18cdf49a089 · inbound
Align is not Enough: Multimodal Universal Jailbreak Attack against Multimodal Large Language Models GPT-4 Is Too Smart To Be Safe: Stealthy Chat with LLMs via Cipher
Reference 9
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 30ef75e3-d5d3-4d24-9092-8d1f164173d8 · inbound
The Scales of Justitia: A Comprehensive Survey on Safety Evaluation of LLMs GPT-4 Is Too Smart To Be Safe: Stealthy Chat with LLMs via Cipher
Reference 134
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 94e37423-7f20-4f0d-a15e-2c7c1724b829 · inbound
InfoFlood: Jailbreaking Large Language Models with Information Overload GPT-4 Is Too Smart To Be Safe: Stealthy Chat with LLMs via Cipher
Reference 42
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation df86a486-20dc-4ec7-a603-7be884eef3dc · inbound
Exploring the Secondary Risks of Large Language Models GPT-4 Is Too Smart To Be Safe: Stealthy Chat with LLMs via Cipher
Reference 52
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 1524d6e6-286a-43ba-93ef-3b2fef453951 · inbound
We Should Identify and Mitigate Third-Party Safety Risks in MCP-Powered Agent Systems GPT-4 Is Too Smart To Be Safe: Stealthy Chat with LLMs via Cipher
Reference 93
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 820d8f86-6714-42f3-8fd9-c2763326728f · inbound
Cross-Modal Obfuscation for Jailbreak Attacks on Large Vision-Language Models GPT-4 Is Too Smart To Be Safe: Stealthy Chat with LLMs via Cipher
Reference 35
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7d626332-ac7c-4139-a90b-8b60aa8ecab5 · inbound
SEALGuard: Safeguarding the Multilingual Conversations in Southeast Asian Languages for LLM Software Systems GPT-4 Is Too Smart To Be Safe: Stealthy Chat with LLMs via Cipher
Reference 56
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a938959c-9abd-4204-8835-ff1968fc4e5d · inbound
Paper Summary Attack: Jailbreaking LLMs through LLM Safety Papers GPT-4 Is Too Smart To Be Safe: Stealthy Chat with LLMs via Cipher
Reference 39
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation af484381-9d39-4ae6-8e77-2f660dd1f53c · inbound
PUZZLED: Jailbreaking LLMs through Word-Based Puzzles GPT-4 Is Too Smart To Be Safe: Stealthy Chat with LLMs via Cipher
Reference 22
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7a546f1b-868d-443b-9131-adc1338483e6 · inbound
Layer-Wise Perturbations via Sparse Autoencoders for Adversarial Text Generation GPT-4 Is Too Smart To Be Safe: Stealthy Chat with LLMs via Cipher
Reference 72
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 81dec6fa-9497-4c47-b32e-c685f32f3f44 · inbound
On Surjectivity of Neural Networks: Can you elicit any behavior from your model? GPT-4 Is Too Smart To Be Safe: Stealthy Chat with LLMs via Cipher
Reference 110
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9f740cc8-976e-4e1b-bdac-fa4eb26f8472 · inbound
GUARD: Guideline Upholding Test through Adaptive Role-play and Jailbreak Diagnostics for LLMs GPT-4 Is Too Smart To Be Safe: Stealthy Chat with LLMs via Cipher
Reference 33
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation f96a562b-0d45-4976-86b5-95dfd84493ac · inbound
The Resurgence of GCG Adversarial Attacks on Large Language Models GPT-4 Is Too Smart To Be Safe: Stealthy Chat with LLMs via Cipher
Reference 36
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e0e95381-fe18-4746-a919-30ebdb36348b · inbound
Harmful Prompt Laundering: Jailbreaking LLMs with Abductive Styles and Symbolic Encoding GPT-4 Is Too Smart To Be Safe: Stealthy Chat with LLMs via Cipher
Reference 6
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 14e021f4-b94e-4ddc-addd-d14cec6975ed · inbound
When Smiley Turns Hostile: Interpreting How Emojis Trigger LLMs' Toxicity GPT-4 Is Too Smart To Be Safe: Stealthy Chat with LLMs via Cipher
Reference 54
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 43b20aaf-a445-4c4a-8f84-a697768cd714 · inbound
Red-Bandit: Test-Time Adaptation for LLM Red-Teaming via Bandit-Guided LoRA Experts GPT-4 Is Too Smart To Be Safe: Stealthy Chat with LLMs via Cipher
Reference 47
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation c59c361b-10ba-4e26-8941-72637653d8ee · inbound
SecureWebArena: A Holistic Security Evaluation Benchmark for LVLM-based Web Agents GPT-4 Is Too Smart To Be Safe: Stealthy Chat with LLMs via Cipher
Reference 62
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 9baeea80-9417-4dea-bfe7-8ccb1a57a5d6 · inbound
Guardian-as-an-Advisor: Advancing Next-Generation Guardian Models for Trustworthy LLMs GPT-4 Is Too Smart To Be Safe: Stealthy Chat with LLMs via Cipher
Reference 87
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 5140e315-47f6-4d25-9f5a-b37147cfd572 · inbound
TrajGuard: Streaming Hidden-state Trajectory Detection for Decoding-time Jailbreak Defense GPT-4 Is Too Smart To Be Safe: Stealthy Chat with LLMs via Cipher
Reference 44
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 14a35fdd-318c-4514-9c66-5ac8d4e0bb2d · inbound
Modeling LLM Unlearning as an Asymmetric Two-Task Learning Problem GPT-4 Is Too Smart To Be Safe: Stealthy Chat with LLMs via Cipher
Reference 3
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 159dede1-ceaf-4d62-8314-a2c29bc928c4 · inbound
Ethics Testing: Proactive Identification of Generative AI System Harms GPT-4 Is Too Smart To Be Safe: Stealthy Chat with LLMs via Cipher
Reference 81
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation e937ce11-2df3-4700-ab24-536993c41fb5 · inbound
Attention Is Where You Attack GPT-4 Is Too Smart To Be Safe: Stealthy Chat with LLMs via Cipher
Reference 16
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 0e6f93ff-4ae1-4c0d-83d4-582bcf692458 · inbound
Jailbroken Frontier Models Retain Their Capabilities GPT-4 Is Too Smart To Be Safe: Stealthy Chat with LLMs via Cipher
Reference 3
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 45fd79a9-dde3-49b0-b5d6-d309292020fb · inbound
Exposing LLM Safety Gaps Through Mathematical Encoding:New Attacks and Systematic Analysis GPT-4 Is Too Smart To Be Safe: Stealthy Chat with LLMs via Cipher
Reference 12
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 08daedea-83f2-4830-9833-275470a56b54 · inbound
A Systematic Investigation of RL-Jailbreaking in LLMs GPT-4 Is Too Smart To Be Safe: Stealthy Chat with LLMs via Cipher
Reference 18
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 920ca7fe-d442-40cd-8bd1-6f12fb1373c8 · inbound
A Systematic Investigation of RL-Jailbreaking in LLMs GPT-4 Is Too Smart To Be Safe: Stealthy Chat with LLMs via Cipher
Reference 18
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation f3c9c04b-a4f8-45eb-aa48-d3ad2a6e10f4 · inbound
A Systematic Investigation of RL-Jailbreaking in LLMs GPT-4 Is Too Smart To Be Safe: Stealthy Chat with LLMs via Cipher
Reference 18
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 78ba9926-cbda-44ab-b93d-dd356a0f8857 · inbound
From AI-Generated Content to Agentic Action: Security and Safety Threats in Generative AI GPT-4 Is Too Smart To Be Safe: Stealthy Chat with LLMs via Cipher
Reference 151
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 00feaf7b-eb0f-48c4-afd2-5ae4f0ea2e8c · inbound
LASH: Adaptive Semantic Hybridization for Black-Box Jailbreaking of Large Language Models GPT-4 Is Too Smart To Be Safe: Stealthy Chat with LLMs via Cipher
Reference 38
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 47ee0339-5dd1-488d-a45e-0832c8ee7588 · inbound
Adversarial Reframing: A Framework for Targeted Generation in Language Models GPT-4 Is Too Smart To Be Safe: Stealthy Chat with LLMs via Cipher
Reference 59
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 41c38ef4-9f73-41ee-be10-84ed9c64bd34 · inbound
LCO: LLM-based Constraint Optimization for Safer Agentic LLMs in Real-world Tasks GPT-4 Is Too Smart To Be Safe: Stealthy Chat with LLMs via Cipher
Reference 3
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 141d8132-5853-478d-a121-92d13b184982 · inbound
SPARD: Defending Harmful Fine-Tuning Attack via Safety Projection with Relevance-Diversity Data Selection GPT-4 Is Too Smart To Be Safe: Stealthy Chat with LLMs via Cipher
Reference 19
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 55b51ddd-e3b9-44f3-9062-e9740a64b972 · inbound
Beyond English and Evasion: A Human-Annotated Multi-Domain Benchmark for High-Stakes LLM Safety Evaluation in Chinese GPT-4 Is Too Smart To Be Safe: Stealthy Chat with LLMs via Cipher
Reference 14
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation c5a5d93a-df35-44b3-85c6-8f4a8edbbbe0 · inbound
SlotGCG: Exploiting the Positional Vulnerability in LLMs for Jailbreak Attacks GPT-4 Is Too Smart To Be Safe: Stealthy Chat with LLMs via Cipher
Reference 29
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 769321d3-7363-4023-a416-b65a0668cf49 · inbound
Safety Paradox: How Enhanced Safety Awareness Leaves LLMs Vulnerable to Posterior Attack GPT-4 Is Too Smart To Be Safe: Stealthy Chat with LLMs via Cipher
Reference 5
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation ba6e8dbd-d2da-40dc-9db7-14d0e308fd29 · inbound
FinRED: An Expert-Guided Benchmark Generation and Evaluation Framework for Financial LLM Red-Teaming GPT-4 Is Too Smart To Be Safe: Stealthy Chat with LLMs via Cipher
Reference 45
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 57a91a59-846d-452b-86ec-c4b997c455f6 · inbound
An Empirical Evaluation of Prompt Injection Vulnerabilities in Large Language Models Across Multilingual and Obfuscated Attack Scenarios GPT-4 Is Too Smart To Be Safe: Stealthy Chat with LLMs via Cipher
Reference 24
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 962a42cb-4562-4ad7-841a-b05e624492e8 · inbound
Mitigating Taint-Style Vulnerabilities in MCP Servers via Security-Aware Tool Descriptions GPT-4 Is Too Smart To Be Safe: Stealthy Chat with LLMs via Cipher
Reference 67
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 62146656-85ba-4c8c-84a4-d3c713cab06b · inbound
MJ: Multi-turn LLM Jailbreaking via Decomposed Credit Assignment GPT-4 Is Too Smart To Be Safe: Stealthy Chat with LLMs via Cipher
Reference 12
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4fe603d7-2991-42d2-8292-8dd403e39b73 · inbound
Reason Before You Retrieve: Agentic Planning for Multi-modal RAG GPT-4 Is Too Smart To Be Safe: Stealthy Chat with LLMs via Cipher
Reference 110
Source-reported events for the cited work
Unavailable: canonical work link unavailable.