Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment
As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 54 inbound Pith citation observations for arXiv:2504.15585.
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 2026-08-12T06:34:41.77262+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T04:26:55.147561Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation f0b58d28-5e3f-40dc-90c4-c2e05ab0f6a8 · inbound
BadPatch: Diffusion-Based Generation of Physical Adversarial Patches cites this paper.
BadPatch: Diffusion-Based Generation of Physical Adversarial Patches A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment
Reference 55
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T04:26:55.147561Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fd6c90b7-9b6e-4aaf-8fc4-9b34e96372f1 · inbound
Defending LVLMs Against Vision Attacks through Partial-Perception Supervision cites this paper.
Defending LVLMs Against Vision Attacks through Partial-Perception Supervision A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T13:52:06.526634Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3943095f-48b1-4ac5-998b-80969f43dabb · inbound
CAFES: A Collaborative Multi-Agent Framework for Multi-Granular Multimodal Essay Scoring cites this paper.
CAFES: A Collaborative Multi-Agent Framework for Multi-Granular Multimodal Essay Scoring A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment
Reference 62
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:42:36.704050Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6e2583d8-e779-42d7-b879-4e1ab81c1394 · inbound
AUTOLAW: Enhancing Legal Compliance in Large Language Models via Case Law Generation and Jury-Inspired Deliberation cites this paper.
AUTOLAW: Enhancing Legal Compliance in Large Language Models via Case Law Generation and Jury-Inspired Deliberation A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment
Reference 52
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:44:36.085184Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 22f9ca5c-4d14-4a4e-901e-7f2a23842c78 · inbound
Pierce the Mists, Greet the Sky: Decipher Knowledge Overshadowing via Knowledge Circuit Analysis cites this paper.
Pierce the Mists, Greet the Sky: Decipher Knowledge Overshadowing via Knowledge Circuit Analysis A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment
Reference 47
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:39:19.903205Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 617e84f1-45a8-486b-bc09-a595734d39da · inbound
LIFEBench: Evaluating Length Instruction Following in Large Language Models cites this paper.
LIFEBench: Evaluating Length Instruction Following in Large Language Models A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment
Reference 100
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:08:08.453311Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a343fa56-fc0b-4d7a-b500-dfdcc7e4929e · inbound
Three Minds, One Legend: Jailbreak Large Reasoning Model with Adaptive Stacked Ciphers cites this paper.
Three Minds, One Legend: Jailbreak Large Reasoning Model with Adaptive Stacked Ciphers A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment
Reference 29
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:08:12.817031Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8a4eb285-b48c-484c-acb6-a60cdd51e0b2 · inbound
Get Experience from Practice: LLM Agents with Record & Replay cites this paper.
Get Experience from Practice: LLM Agents with Record & Replay A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment
Reference 77
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:44:29.819479Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1bba61fd-e6c0-4919-b723-958c78f657f9 · inbound
The Eye of Sherlock Holmes: Uncovering User Private Attribute Profiling via Vision-Language Model Agentic Framework cites this paper.
The Eye of Sherlock Holmes: Uncovering User Private Attribute Profiling via Vision-Language Model Agentic Framework A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment
Reference 43
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:23:11.298851Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation db2b1394-36e8-4d2d-b652-6185eae5278f · inbound
Vibe Coding vs. Agentic Coding: Fundamentals and Practical Implications of Agentic AI cites this paper.
Vibe Coding vs. Agentic Coding: Fundamentals and Practical Implications of Agentic AI A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment
Reference 136
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:15:45.830684Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 46b3250a-75ae-414a-957b-0abf54ff053d · inbound
KGMark: A Diffusion Watermark for Knowledge Graphs cites this paper.
KGMark: A Diffusion Watermark for Knowledge Graphs A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment
Reference 49
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:51:12.934888Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0a5dd95a-dc79-4ec0-9dd7-44a8c315ce6f · inbound
Beyond the Protocol: Unveiling Attack Vectors in the Model Context Protocol (MCP) Ecosystem cites this paper.
Beyond the Protocol: Unveiling Attack Vectors in the Model Context Protocol (MCP) Ecosystem A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment
Reference 52
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:09:55.935988Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 17b4c414-b8f2-4f89-9b36-58b936c31ebc · inbound
Quality-Diversity Red-Teaming: Automated Generation of High-Quality and Diverse Attackers for Large Language Models cites this paper.
Quality-Diversity Red-Teaming: Automated Generation of High-Quality and Diverse Attackers for Large Language Models A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment
Reference 49
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:47:06.486187Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1cd39cb2-ad4d-4097-9cd9-44ea269ef0ba · inbound
We Should Identify and Mitigate Third-Party Safety Risks in MCP-Powered Agent Systems cites this paper.
We Should Identify and Mitigate Third-Party Safety Risks in MCP-Powered Agent Systems A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment
Reference 78
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:32:36.685699Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b438ebc6-52ae-409a-a544-a4776270ec1a · inbound
SafeMobile: Chain-level Jailbreak Detection and Automated Evaluation for Multimodal Mobile Agents cites this paper.
SafeMobile: Chain-level Jailbreak Detection and Automated Evaluation for Multimodal Mobile Agents A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T21:11:18.191017Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0562f6cf-ecf1-410b-972a-4bcbb3489d07 · inbound
Introducing the Swiss Food Knowledge Graph: AI for Context-Aware Nutrition Recommendation cites this paper.
Introducing the Swiss Food Knowledge Graph: AI for Context-Aware Nutrition Recommendation A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment
Reference 71
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T17:43:16.320326Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fa829d15-d2e1-4545-80f0-6e13031e4a64 · inbound
Collaborative Inference and Learning between Edge SLMs and Cloud LLMs: A Survey of Algorithms, Execution, and Open Challenges cites this paper.
Collaborative Inference and Learning between Edge SLMs and Cloud LLMs: A Survey of Algorithms, Execution, and Open Challenges A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment
Reference 283
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T15:06:48.912765Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f9a1bb5b-5315-4926-bd23-7882987630c2 · inbound
Graph-Augmented Large Language Model Agents: Current Progress and Future Prospects cites this paper.
Graph-Augmented Large Language Model Agents: Current Progress and Future Prospects A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment
Reference 53
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T12:52:01.469405Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f81e63ee-310a-4b40-a780-cc2cec28daae · inbound
Adaptive Backtracking for Privacy Protection in Large Language Models cites this paper.
Adaptive Backtracking for Privacy Protection in Large Language Models A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T23:04:08.645670Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8360dd42-bfa8-4b80-8ac4-5808aa6baa3c · 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 A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T10:38:58.402887Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6dcbcab6-57cf-46f6-b4f6-c7ef91578aa5 · inbound
KubeGuard: LLM-Assisted Kubernetes Hardening via Configuration Files and Runtime Logs Analysis cites this paper.
KubeGuard: LLM-Assisted Kubernetes Hardening via Configuration Files and Runtime Logs Analysis A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment
Reference 95
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T10:21:47.149354Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 627e0278-77d1-45ca-b4ff-497df50cc0d9 · inbound
Large Language Models for Next-Generation Wireless Network Management: A Survey and Tutorial cites this paper.
Large Language Models for Next-Generation Wireless Network Management: A Survey and Tutorial A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment
Reference 175
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T04:50:32.170105Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5687e63f-1cfc-491f-8ddc-4cba96ebfa15 · inbound
Uncovering Vulnerabilities of LLM-Assisted Cyber Threat Intelligence cites this paper.
Uncovering Vulnerabilities of LLM-Assisted Cyber Threat Intelligence A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T14:42:50.674982Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3004583b-014b-4f1f-a1fb-04940e398556 · inbound
Agentic Services Computing cites this paper.
Agentic Services Computing A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment
Reference 178
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T14:41:50.921051Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2fa5d3d6-f2b3-4950-8354-f4c2c0d9357f · inbound
AgenticEval: Toward Agentic and Self-Evolving Safety Evaluation of Large Language Models cites this paper.
AgenticEval: Toward Agentic and Self-Evolving Safety Evaluation of Large Language Models A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment
Reference 12
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T12:36:22.463634Z
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 0ccd089e-dbac-49e9-896e-a4b7c58c5b3e · inbound
Check Yourself Before You Wreck Yourself: Selectively Quitting Improves LLM Agent Safety cites this paper.
Check Yourself Before You Wreck Yourself: Selectively Quitting Improves LLM Agent Safety A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T09:15:21.818144Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1f81fcd7-473e-4ead-8dca-e4c2f59e4af5 · inbound
Securing Multi-Agent Systems Against Corruptions via Node Contribution Backpropagation cites this paper.
Securing Multi-Agent Systems Against Corruptions via Node Contribution Backpropagation A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T08:44:56.504049Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8990c204-c015-4c3a-bd3e-0608db533c45 · inbound
Evolve the Method, Not the Prompts: Evolutionary Synthesis of Jailbreak Attacks on LLMs cites this paper.
Evolve the Method, Not the Prompts: Evolutionary Synthesis of Jailbreak Attacks on LLMs A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment
Reference 47
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T19:00:30.397180Z
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 432e8ebe-e187-4091-93ad-ae6b1c7facf7 · inbound
The Alignment Curse: Modality Alignment Supercharges Audio Attacks via Text Transfer cites this paper.
The Alignment Curse: Modality Alignment Supercharges Audio Attacks via Text Transfer A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T06:23:43.757957Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 746a367d-6d75-4b97-850f-e419c3b57eb1 · inbound
ProbeLLM: Automating Principled Diagnosis of LLM Failures cites this paper.
ProbeLLM: Automating Principled Diagnosis of LLM Failures A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment
Reference 2019
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T23:43:07.687190Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4125b05d-325a-465f-9376-34ee1f85469b · inbound
The Salami Slicing Threat: Exploiting Cumulative Risks in LLM Systems cites this paper.
The Salami Slicing Threat: Exploiting Cumulative Risks in LLM Systems A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment
Reference 1
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T09:16:04.234442Z
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 e74ea2e4-43ec-46d2-ac23-36da4267756b · inbound
BiasIG: Benchmarking Multi-dimensional Social Biases in Text-to-Image Models cites this paper.
BiasIG: Benchmarking Multi-dimensional Social Biases in Text-to-Image Models A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment
Reference 17
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T10:21:00.645817Z
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 1e41d869-3c91-4f07-b6bc-d6471d446470 · inbound
LLM-Based Multi-Agent Systems for Code Generation: A Multi-Vocal Literature Review cites this paper.
LLM-Based Multi-Agent Systems for Code Generation: A Multi-Vocal Literature Review A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment
Reference 63
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T19:56:33.814418Z
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 93e9fd91-8f12-4b4d-acc2-50be6e16a428 · inbound
ProjLens: Unveiling the Role of Projectors in Multimodal Model Safety cites this paper.
ProjLens: Unveiling the Role of Projectors in Multimodal Model Safety A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment
Reference 178
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T12:46:05.697693Z
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 9297d37a-a513-4dcd-8b8d-0d9f71da619c · inbound
TwinGate: Stateful Defense against Decompositional Jailbreaks in Untraceable Traffic via Asymmetric Contrastive Learning cites this paper.
TwinGate: Stateful Defense against Decompositional Jailbreaks in Untraceable Traffic via Asymmetric Contrastive Learning A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment
Reference 27
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-12T10:26:29.219146Z
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 5b14aa25-c446-4733-8b09-f9ad1b3e762e · inbound
Disentangling Intent from Role: Adversarial Self-Play for Persona-Invariant Safety Alignment cites this paper.
Disentangling Intent from Role: Adversarial Self-Play for Persona-Invariant Safety Alignment A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment
Reference 10
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T16:21:07.319493Z
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 0536dfdb-3e49-4208-97fc-b63d716f6d09 · inbound
Explaining and Breaking the Safety-Helpfulness Ceiling via Preference Dimensional Expansion cites this paper.
Explaining and Breaking the Safety-Helpfulness Ceiling via Preference Dimensional Expansion A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment
Reference 7
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T01:07:00.563071Z
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 0eb13ae8-32e2-4dc7-8a0b-27627098488d · inbound
Explaining and Breaking the Safety-Helpfulness Ceiling via Preference Dimensional Expansion cites this paper.
Explaining and Breaking the Safety-Helpfulness Ceiling via Preference Dimensional Expansion A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment
Reference 7
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T21:12:58.976961Z
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 a6dfaaca-478c-4429-bd9a-077cbb8d879f · inbound
BackFlush: Knowledge-Free Backdoor Detection and Elimination with Watermark Preservation in Large Language Models cites this paper.
BackFlush: Knowledge-Free Backdoor Detection and Elimination with Watermark Preservation in Large Language Models A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment
Reference 9
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T21:02:58.891963Z
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 9a3344e2-5e67-4e03-bc5a-0669f6456152 · inbound
Taxonomy and Consistency Analysis of Safety Benchmarks for AI Agents cites this paper.
Taxonomy and Consistency Analysis of Safety Benchmarks for AI Agents A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment
Reference 52
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T01:43:56.850450Z
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 1ebf339c-e46d-4d65-addf-a2d9d2dc71a7 · inbound
A Survey of Large Audio Language Models: Generalization, Trustworthiness, and Outlook cites this paper.
A Survey of Large Audio Language Models: Generalization, Trustworthiness, and Outlook A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment
Reference 21
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T07:39:49.124688Z
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 49e329d1-315d-45f4-a7b7-b335c0985d17 · inbound
Trusted Weights, Treacherous Optimizations? Optimization-Triggered Backdoor Attacks on LLMs cites this paper.
Trusted Weights, Treacherous Optimizations? Optimization-Triggered Backdoor Attacks on LLMs A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment
Reference 26
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T04:49:35.654769Z
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 063b7fbf-a09c-4ef6-82f4-5e3ceab79311 · inbound
Detecting Unfaithful Chain-of-Thought via Circuit-Guided Internal-External Discrepancy cites this paper.
Detecting Unfaithful Chain-of-Thought via Circuit-Guided Internal-External Discrepancy A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment
Reference 43
- Resolution
- verified exact
- arxiv_id, observed 2026-06-29T21:53:59.521103Z
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 a1cdd3b8-337d-4c90-95a3-6dd4ab19b69b · inbound
Aligned but Fragile: Enhancing LLM Safety Robustness via Zeroth-Order Optimization cites this paper.
Aligned but Fragile: Enhancing LLM Safety Robustness via Zeroth-Order Optimization A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment
Reference 27
- Resolution
- verified exact
- arxiv_id, observed 2026-06-29T07:43:13.502152Z
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 df30c543-00b4-46cf-9de7-8d4e668bdb15 · inbound
POIROT: Interrogating Agents for Failure Detection in Multi-Agent Systems cites this paper.
POIROT: Interrogating Agents for Failure Detection in Multi-Agent Systems A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment
Reference 13
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-01T23:06:19.985654Z
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 aaa70230-6616-4e55-ad12-b59207d03a12 · inbound
Safe Embodied AI for Long-horizon Tasks: A Cross-layer Analysis of Robotic Manipulation cites this paper.
Safe Embodied AI for Long-horizon Tasks: A Cross-layer Analysis of Robotic Manipulation A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment
Reference 11
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-02T12:56:56.715862Z
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 090f64dc-976d-4b53-b52f-a84b53fc51b1 · inbound
Toward Secure LLM Agents: Threat Surfaces, Attacks, Defenses, and Evaluation cites this paper.
Toward Secure LLM Agents: Threat Surfaces, Attacks, Defenses, and Evaluation A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment
Reference 182
- Resolution
- verified exact
- arxiv_id, observed 2026-06-27T13:20:56.866720Z
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 7b03d879-f0ea-47f2-8cf2-a175c1c308fc · inbound
SAIGuard: Communication-State Simulation for Proactive Defense of LLM Multi-Agent Systems cites this paper.
SAIGuard: Communication-State Simulation for Proactive Defense of LLM Multi-Agent Systems A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment
Reference 3
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-03T13:28:18.834488Z
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 ef2b4891-04f4-4c96-a460-7e69a64d9593 · inbound
PolicyAlign: Direct Policy-Based Safety Alignment for Large Language Models cites this paper.
PolicyAlign: Direct Policy-Based Safety Alignment for Large Language Models A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment
Reference 1
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-04T19:40:06.706686Z
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 b1fc6796-572d-4c6b-b90d-f88057d94645 · inbound
Reducing Conversational Escalation in Large Language Model Dialogue with Nonviolent Communication Constraints cites this paper.
Reducing Conversational Escalation in Large Language Model Dialogue with Nonviolent Communication Constraints A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment
Reference 9
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-01T08:05:31.326711Z
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 44eabc72-7363-4262-a7ca-ec27128cfdb2 · inbound
Breaking the Rounding Trap: Securing LLMs against Quantization-Conditioned Backdoors cites this paper.
Breaking the Rounding Trap: Securing LLMs against Quantization-Conditioned Backdoors A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment
Reference 58
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T08:04:28.739091Z
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 baf5f170-7c2e-4782-985c-c1ae06ee600f · inbound
Breaking the Rounding Trap: Securing LLMs against Quantization-Conditioned Backdoors cites this paper.
Breaking the Rounding Trap: Securing LLMs against Quantization-Conditioned Backdoors A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment
Reference 57
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T04:39:06.922277Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6fc0892e-e9c5-4435-a09e-b5039a8bd066 · inbound
Temporary Authority, Permanent Effects: Commit-Time Authorization for LLM Agents cites this paper.
Temporary Authority, Permanent Effects: Commit-Time Authorization for LLM Agents A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment
Reference 59
- Resolution
- unresolved
- no resolver link, observed 2026-07-14T11:21:48.935912Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9f185a3e-dd8e-4ffa-9144-a44a7613bf20 · inbound
Persistent Sparse Autoencoders: Learning Feature Timescales in Language Models cites this paper.
Persistent Sparse Autoencoders: Learning Feature Timescales in Language Models A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment
Reference 185
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T19:02:48.799933Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.