Paper Citation Record · LEDGER

A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment

As of 19 August 2026, this Paper Citation Record lists 100 of 297 outbound references and 60 inbound Pith citation observations for arXiv:2504.15585.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2504.15585 v4

Coverage vector

measured 100 of 297 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:24:12.261299Z

measured 160 of 160 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 60 of 60 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:19:52.453336Z

measured 1 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

100 of 297 outbound references displayed

verified exact0
verified fuzzy0
unresolved100
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation cbbc712a-143f-4bc9-9f13-ad04bffe56bb · outbound

This paper cites Training language models to follow instructions with human feedback,.

A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment Training language models to follow instructions with human feedback,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-16T11:24:11.938630Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3b2a342d-7921-43ff-9e38-728adec94f23 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment LLaMA: Open and Efficient Foundation Language Models

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-16T11:24:11.942874Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 47cc74c9-c055-4470-9f8c-8a603cf58a8e · outbound

This paper cites Qwen Technical Report.

A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment Qwen Technical Report

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-16T11:24:11.946474Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e2490463-d212-473d-a296-79a56812d8ec · outbound

This paper cites DeepSeek-V3 Technical Report.

A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment DeepSeek-V3 Technical Report

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-16T11:24:11.950051Z

Source-reported events for the cited work

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Observation 265bfa3f-2fcf-4bcb-b57e-cb50bebe2a32 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-16T11:24:11.953636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 49e342ae-54ec-487e-a661-a33d7e8f2a47 · outbound

This paper cites A Survey of Large Language Models.

A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment A Survey of Large Language Models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-16T11:24:11.956979Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a1830472-afcd-4d10-a8d8-fc457eb39097 · outbound

This paper cites A survey on evaluation of large language models,.

A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment A survey on evaluation of large language models,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-16T11:24:11.960846Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5daeb6c3-442a-414a-b843-b96d816d0363 · outbound

This paper cites A survey on large language models: Applications, challenges, limitations, and practical usage,.

A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment A survey on large language models: Applications, challenges, limitations, and practical usage,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-16T11:24:11.963935Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0bc7dfc7-e414-40a4-8ece-611ae1b819fc · outbound

This paper cites Position: Multimodal Large Language Models Can Significantly Advance Scientific Reasoning.

A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment Position: Multimodal Large Language Models Can Significantly Advance Scientific Reasoning

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-16T11:24:11.967032Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 71045df9-91b9-452a-a982-4d4a36911c30 · outbound

This paper cites A Survey of Mathematical Reasoning in the Era of Multimodal Large Language Model: Benchmark, Method & Challenges.

A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment A Survey of Mathematical Reasoning in the Era of Multimodal Large Language Model: Benchmark, Method & Challenges

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-16T11:24:11.970200Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ce9f81e4-a27f-4194-8b6b-ffa68a1320bb · outbound

This paper cites Deep learning for cross- domain data fusion in urban computing: Taxonomy, advances, and outlook,.

A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment Deep learning for cross- domain data fusion in urban computing: Taxonomy, advances, and outlook,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-16T11:24:11.973443Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 484dc270-e3b6-4374-8496-3c38b43cd7e0 · outbound

This paper cites G-Refer: Graph Retrieval-Augmented Large Language Model for Explainable Recommendation.

A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment G-Refer: Graph Retrieval-Augmented Large Language Model for Explainable Recommendation

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-16T11:24:11.976276Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 382710c0-f2f4-448e-ae0f-bbe7b49ba0dd · outbound

This paper cites A Large Language Model-Driven Reward Design Framework via Dynamic Feedback for Reinforcement Learning.

A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment A Large Language Model-Driven Reward Design Framework via Dynamic Feedback for Reinforcement Learning

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-16T11:24:11.979641Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4829e90d-1a3d-437d-81e3-aebf38f6b7d2 · outbound

This paper cites A critical review towards artifi- cial general intelligence: Challenges, ethical considera- tions, and the path forward,.

A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment A critical review towards artifi- cial general intelligence: Challenges, ethical considera- tions, and the path forward,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-16T11:24:11.982685Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 16ef6a97-1b89-488a-989d-b719e47a12bd · outbound

This paper cites The risks associated with artificial general intelligence: A systematic review,.

A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment The risks associated with artificial general intelligence: A systematic review,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-16T11:24:11.985966Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 04d34214-fdf5-4c87-a187-334209e2a6f2 · outbound

This paper cites Can 1B LLM Surpass 405B LLM? Rethinking Compute-Optimal Test-Time Scaling.

A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment Can 1B LLM Surpass 405B LLM? Rethinking Compute-Optimal Test-Time Scaling

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-16T11:24:11.989033Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5bafd2ac-5e77-4a14-aefa-4affbdb7ef58 · outbound

This paper cites Tptu: Task planning and tool usage of large language model-based ai agents,.

A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment Tptu: Task planning and tool usage of large language model-based ai agents,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-16T11:24:11.992219Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eb516e6f-8b98-4589-9d1f-fd48e8fbc661 · outbound

This paper cites Large language model (chatgpt) as a support tool for breast tumor board,.

A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment Large language model (chatgpt) as a support tool for breast tumor board,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-16T11:24:11.995253Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 725b0ab1-16ce-4026-aff6-fd80c628cdab · outbound

This paper cites Gpt4tools: Teaching large language model to use tools via self-instruction,.

A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment Gpt4tools: Teaching large language model to use tools via self-instruction,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-16T11:24:11.998344Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 432c7a42-129a-454d-ad1e-af97bcf19e06 · outbound

This paper cites Toolformer: Language models can teach themselves to use tools,.

A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment Toolformer: Language models can teach themselves to use tools,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-16T11:24:12.001630Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2735c93c-7a33-49b7-b48f-0d8ebb245cec · outbound

This paper cites Mem- orybank: Enhancing large language models with long- term memory,.

A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment Mem- orybank: Enhancing large language models with long- term memory,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-16T11:24:12.005047Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2fb16c4d-016a-4c65-b442-e46d7b05387b · outbound

This paper cites Augmenting language models with long- term memory,.

A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment Augmenting language models with long- term memory,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-16T11:24:12.008262Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d80326f6-d86c-4ab8-a580-dbdbce9d7b97 · outbound

This paper cites A Survey on the Memory Mechanism of Large Language Model based Agents.

A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment A Survey on the Memory Mechanism of Large Language Model based Agents

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-16T11:24:12.011554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7fead7fe-31b7-40a8-8812-5092412a1c27 · outbound

This paper cites MMNeuron: Discovering Neuron-Level Domain-Specific Interpretation in Multimodal Large Language Model.

A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment MMNeuron: Discovering Neuron-Level Domain-Specific Interpretation in Multimodal Large Language Model

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-16T11:24:12.015223Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7ff1a14f-3b14-4c9d-a3b8-7967d6eeb329 · outbound

This paper cites ToolACE: Winning the Points of LLM Function Calling.

A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment ToolACE: Winning the Points of LLM Function Calling

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-16T11:24:12.018566Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 625c910b-4163-440a-915e-6a801ce7b062 · outbound

This paper cites ToolAlpaca: Generalized Tool Learning for Language Models with 3000 Simulated Cases.

A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment ToolAlpaca: Generalized Tool Learning for Language Models with 3000 Simulated Cases

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-16T11:24:12.021865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 38ea9a20-ca1a-4bfb-8385-b8e7052fdb0a · outbound

This paper cites Large Language Model based Multi-Agents: A Survey of Progress and Challenges.

A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment Large Language Model based Multi-Agents: A Survey of Progress and Challenges

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-16T11:24:12.025175Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ced0507d-e5c1-412e-9243-7479933d012f · outbound

This paper cites A survey on large language model based autonomous agents,.

A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment A survey on large language model based autonomous agents,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-16T11:24:12.028388Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 85ee0bf8-734f-4058-ab6a-e3dd9fd45753 · outbound

This paper cites The rise and potential of large language model based agents: A survey,.

A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment The rise and potential of large language model based agents: A survey,

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-16T11:24:12.031245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1461eb50-8b7a-436f-9760-3975bd93844b · outbound

This paper cites Georeasoner: Reasoning on geospa- tially grounded context for natural language under- standing,.

A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment Georeasoner: Reasoning on geospa- tially grounded context for natural language under- standing,

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-16T11:24:12.034232Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 710a7ada-0d92-4c32-90f3-7f5de1688356 · outbound

This paper cites Where are we in the search for an artificial visual cortex for embodied intelligence?.

A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment Where are we in the search for an artificial visual cortex for embodied intelligence?

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-16T11:24:12.037847Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ef691982-7e4a-4b73-a0c5-e6aea9111b0e · outbound

This paper cites Embodied intelligence-based percep- tion, decision-making, and control for autonomous operations of rail transportation,.

A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment Embodied intelligence-based percep- tion, decision-making, and control for autonomous operations of rail transportation,

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-16T11:24:12.040756Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 27265f31-f3e6-4b59-bcc4-d133df1d7a60 · outbound

This paper cites LLM Post-Training: A Deep Dive into Reasoning Large Language Models.

A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment LLM Post-Training: A Deep Dive into Reasoning Large Language Models

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-16T11:24:12.046664Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c01c42f6-8a8c-4ee2-ab7a-bb261b57f93c · outbound

This paper cites From System 1 to System 2: A Survey of Reasoning Large Language Models.

A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment From System 1 to System 2: A Survey of Reasoning Large Language Models

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-16T11:24:12.049924Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d7f9682e-be2c-4fa2-98b5-f61a437e4dd6 · outbound

This paper cites Security of language models for code: A systematic literature review,.

A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment Security of language models for code: A systematic literature review,

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-16T11:24:12.053097Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation afa2eed2-6ce0-4baa-8bcc-2e3fae705f56 · outbound

This paper cites Prompt inversion attack against collabora- tive inference of large language models,.

A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment Prompt inversion attack against collabora- tive inference of large language models,

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-16T11:24:12.056072Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 74b62f9d-8a07-4c5f-85f7-41f05cbde662 · outbound

This paper cites A survey on llm-generated text detection: Ne- cessity, methods, and future directions,.

A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment A survey on llm-generated text detection: Ne- cessity, methods, and future directions,

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-16T11:24:12.059098Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1f552901-2260-4bba-9885-644f90e4cf9c · outbound

This paper cites Pre- trained language models and their applications,.

A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment Pre- trained language models and their applications,

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-16T11:24:12.062477Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f5a5d603-aed8-489a-81cf-a04d1ec27cc6 · outbound

This paper cites A comprehensive survey on pretrained foundation models: A history from bert to chatgpt,.

A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment A comprehensive survey on pretrained foundation models: A history from bert to chatgpt,

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-16T11:24:12.065386Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation adc9105a-39f1-46e1-8f42-626c5e8cd8eb · outbound

This paper cites Online data poi- soning attacks,.

A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment Online data poi- soning attacks,

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-16T11:24:12.068211Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9e6a4f6d-4076-4344-bae3-53070d99462d · outbound

This paper cites Dataset security for machine learn- ing: Data poisoning, backdoor attacks, and defenses,.

A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment Dataset security for machine learn- ing: Data poisoning, backdoor attacks, and defenses,

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-16T11:24:12.071074Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f784f684-f7c5-49f9-88fa-068c3444fe02 · outbound

This paper cites Analyzing leakage of personally identifiable information in language models,.

A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment Analyzing leakage of personally identifiable information in language models,

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-16T11:24:12.073920Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 97c9007b-3eba-4d39-8705-df26534ed58b · outbound

This paper cites Eliminating backdoors in neural code models for secure code understanding,.

A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment Eliminating backdoors in neural code models for secure code understanding,

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-16T11:24:12.076929Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 867eb9ae-3a12-45a0-8305-785c32533314 · outbound

This paper cites The benefits, risks and bounds of personalizing the alignment of large language models to individuals,.

A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment The benefits, risks and bounds of personalizing the alignment of large language models to individuals,

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-16T11:24:12.079760Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8b0d176e-7613-4e9e-881b-f2cfa82aebdc · outbound

This paper cites How alignment and jailbreak work: Explain llm safety through intermediate hidden states,.

A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment How alignment and jailbreak work: Explain llm safety through intermediate hidden states,

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-16T11:24:12.082764Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3acc63a7-2f9f-4a88-9c74-dc1236ab49bc · outbound

This paper cites Fine-tuning aligned language models compromises safety, even when users do not intend to!.

A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment Fine-tuning aligned language models compromises safety, even when users do not intend to!

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-16T11:24:12.085786Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b53f8cc3-b807-4498-b197-07bb8263a459 · outbound

This paper cites Safety alignment should be made more than just a few tokens deep,.

A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment Safety alignment should be made more than just a few tokens deep,

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-16T11:24:12.088690Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 38c9ab5a-6b03-4f74-930c-47c8c821c7d1 · outbound

This paper cites Covert malicious finetuning: Challenges in safeguarding LLM adaptation,.

A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment Covert malicious finetuning: Challenges in safeguarding LLM adaptation,

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-16T11:24:12.091484Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d773743c-5d08-46c4-b6ee-a8b9e4c5592c · outbound

This paper cites The effect of fine-tuning on language model toxicity,.

A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment The effect of fine-tuning on language model toxicity,

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-16T11:24:12.094251Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3bd41662-074e-4ff0-ac5a-ffa8f1d94484 · outbound

This paper cites A Survey on Evaluation of Multimodal Large Language Models.

A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment A Survey on Evaluation of Multimodal Large Language Models

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-16T11:24:12.097192Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 18b81871-0d91-4f6b-a17e-46b7c5a9c097 · outbound

This paper cites SafetyPrompts: a Systematic Review of Open Datasets for Evaluating and Improving Large Language Model Safety.

A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment SafetyPrompts: a Systematic Review of Open Datasets for Evaluating and Improving Large Language Model Safety

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-16T11:24:12.100649Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b5100ce-d1a3-468b-a8c3-d0c10efc8503 · outbound

This paper cites Safeguarding Large Language Models: A Survey.

A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment Safeguarding Large Language Models: A Survey

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-16T11:24:12.103750Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6169c982-66d4-4e62-9d95-a96a6df80c0a · outbound

This paper cites Large Model Based Agents: State-of-the-Art, Cooperation Paradigms, Security and Privacy, and Future Trends.

A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment Large Model Based Agents: State-of-the-Art, Cooperation Paradigms, Security and Privacy, and Future Trends

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-16T11:24:12.106988Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f2ccbaa7-2307-4bb9-9064-cb9dd52a5ee3 · outbound

This paper cites EvoFlow: Evolving Diverse Agentic Workflows On The Fly.

A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment EvoFlow: Evolving Diverse Agentic Workflows On The Fly

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-16T11:24:12.110431Z

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A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment Multi-agent Architecture Search via Agentic Supernet

Reference 56

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A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment Cut the Crap: An Economical Communication Pipeline for LLM-based Multi-Agent Systems

Reference 57

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A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment MasRouter: Learning to Route LLMs for Multi-Agent Systems

Reference 58

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A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment A survey of multimodel large language mod- els,

Reference 59

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A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment Instruction tuning for large language models: A survey,

Reference 60

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Reference 61

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Reference 62

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A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment A review on large language models: Architectures, applications, taxonomies, open issues and challenges,

Reference 63

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A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment A survey of gpt-3 family large lan- guage models including chatgpt and gpt-4,

Reference 64

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A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment Survey of Vulnerabilities in Large Language Models Revealed by Adversarial Attacks

Reference 65

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A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment A survey on large language model (llm) security and privacy: The good, the bad, and the ugly,

Reference 66

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A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment Multilingual Large Language Model: A Survey of Resources, Taxonomy and Frontiers

Reference 67

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A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment Large language models: a comprehensive survey of its applications, challenges, limitations, and future prospects,

Reference 68

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A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment TrustLLM: Trustworthiness in Large Language Models

Reference 69

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A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment Security and pri- vacy challenges of large language models: A survey,

Reference 70

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A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment The emerged security and privacy of llm agent: A survey with case studies,

Reference 71

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Reference 72

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A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment On the Trustworthiness of Generative Foundation Models: Guideline, Assessment, and Perspective

Reference 73

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A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment A Survey on Trustworthy LLM Agents: Threats and Countermeasures

Reference 74

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A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment Safety at Scale: A Comprehensive Survey of Large Model and Agent Safety

Reference 75

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A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment Position: Trustllm: Trustworthiness in large language models,

Reference 76

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A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment Attacks, Defenses and Evaluations for LLM Conversation Safety: A Survey

Reference 77

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A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment The RefinedWeb Dataset for Falcon LLM: Outperforming Curated Corpora with Web Data, and Web Data Only

Reference 78

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A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment Dolma: an Open Corpus of Three Trillion Tokens for Language Model Pretraining Research

Reference 79

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A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment Challenges and Applications of Large Language Models

Reference 80

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Reference 81

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A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment Show me your code! kill code poisoning: A lightweight method based on code naturalness,

Reference 82

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A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment Poisoning web-scale train- ing datasets is practical,

Reference 83

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A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment Persistent Pre-Training Poisoning of LLMs

Reference 84

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A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment Concealed Data Poisoning Attacks on NLP Models

Reference 85

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A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment On Protecting the Data Privacy of Large Language Models (LLMs): A Survey

Reference 86

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A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment Deduplicating training data mitigates privacy risks in language mod- els,

Reference 87

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A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment Quantifying memorization across neural language models,

Reference 88

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A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment Toxicity of the Commons: Curating Open-Source Pre-Training Data

Reference 89

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A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment Deduplicating Training Data Makes Language Models Better

Reference 90

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A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment Backdoor learning: A survey

Reference 91

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A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment How to Sift Out a Clean Data Subset in the Presence of Data Poisoning?

Reference 92

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A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment {ASSET}: Robust backdoor data detection across a multiplicity of deep learning paradigms,

Reference 93

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A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment How to inject backdoors with better consistency: Logit an- choring on clean data,

Reference 94

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A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment Fine-mixing: Mitigating Backdoors in Fine-tuned Language Models

Reference 95

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A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment Defending against backdoor attacks in nat- ural language generation,

Reference 96

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A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment A pretrainer’s guide to training data: Measuring the effects of data age, domain coverage, quality, & toxic- ity,

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A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment Privacy Issues in Large Language Models: A Survey

Reference 98

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Reference 99

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A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment Preserving Privacy in Large Language Models: A Survey on Current Threats and Solutions

Reference 101

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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 fb68545c-eb6c-4bf5-9633-422dc915a233 · inbound

From LLMs to MLLMs to Agents: A Survey of Emerging Paradigms in Jailbreak Attacks and Defenses within LLM Ecosystem cites this paper.

From LLMs to MLLMs to Agents: A Survey of Emerging Paradigms in Jailbreak Attacks and Defenses within LLM Ecosystem A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment

Reference 155

Resolution: unresolved; no resolver link, observed 2026-08-15T19:45:10.237784Z

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 1edfaab6-6b89-41cf-932c-6cadf0feabdc · inbound

Jailbreaking Large Language Diffusion Models: Revealing Hidden Safety Flaws in Diffusion-Based Text Generation cites this paper.

Jailbreaking Large Language Diffusion Models: Revealing Hidden Safety Flaws in Diffusion-Based Text Generation A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-15T18:00:26.704638Z

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 e3c9579d-b42e-410d-a830-2ba1a0e5ae22 · inbound

LLM-based Agentic Reasoning Frameworks: A Survey from Methods to Scenarios cites this paper.

LLM-based Agentic Reasoning Frameworks: A Survey from Methods to Scenarios A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment

Reference 264

Resolution: unresolved; no resolver link, observed 2026-08-15T17:04:47.814367Z

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 2026-08-19T06:32:44.657259+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 2026-08-19T06:32:44.657259+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 2026-08-19T06:32:44.657259+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 2026-08-19T06:32:44.657259+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 2026-08-19T06:32:44.657259+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 2026-08-19T06:32:44.657259+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 2026-08-19T06:32:44.657259+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 2026-08-19T06:32:44.657259+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 2026-08-19T06:32:44.657259+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 2026-08-19T06:32:44.657259+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 2026-08-19T06:32:44.657259+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 2026-08-19T06:32:44.657259+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 2026-08-19T06:32:44.657259+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 2026-08-19T06:32:44.657259+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 2026-08-19T06:32:44.657259+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 2026-08-19T06:32:44.657259+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 2026-08-19T06:32:44.657259+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 2026-08-19T06:32:44.657259+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 2026-08-19T06:32:44.657259+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 2026-08-19T06:32:44.657259+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 2026-08-19T06:32:44.657259+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 2026-08-19T06:32:44.657259+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 2026-08-19T06:32:44.657259+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.