Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T05:57:29.610113Z
Paper Citation Record · LEDGER
As of 19 August 2026, this Paper Citation Record lists 94 of 94 outbound references and 11 inbound Pith citation observations for arXiv:2508.01059.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T05:57:29.610113Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-04T14:42:50.833204Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
94 of 94 outbound references displayed
External citation measurements
0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
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Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Report CTIBench: A benchmark for evaluating LLMs in cyber threat intelligence
Reference 3
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Unavailable: canonical work link unavailable.
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Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Report Cysecbert: A domain- adapted language model for the cybersecurity domain, 2022
Reference 4
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Unavailable: canonical work link unavailable.
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Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Report Llama-nemotron: Efficient reasoning models
Reference 5
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Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Report Language models are few-shot learners
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Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Report Evaluating Large Language Models Trained on Code
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Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Report Kenderdine, J
Reference 10
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Reference 13
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Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Report SaulLM-7B: A pioneering Large Language Model for Law
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Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Report Attacker: to- wards enhancing cyber-attack attribution with a named entity recognition dataset
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Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Report Investigating data contamination in modern benchmarks for large language models
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Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Report Length-Controlled AlpacaEval: A Simple Way to Debias Automatic Evaluators
Reference 18
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Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Report Does data contamination detection work (well) for LLMs? a survey and evaluation on detection assumptions
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Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Report Does Fine-Tuning LLMs on New Knowledge Encourage Hallucinations?
Reference 21
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Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Report OLMES: A Standard for Language Model Evaluations
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Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Report Universal Language Model Fine-tuning for Text Classification
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Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Report Smith, Iz Beltagy, and Hannaneh Hajishirzi
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Reference 37
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Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Report HarmBench: A Standardized Evaluation Framework for Automated Red Teaming and Robust Refusal
Reference 42
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Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Report Reducing conversational agents’ overconfidence through linguistic calibration
Reference 44
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Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Report Large Language Models in Cybersecurity: State-of-the-Art
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Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Report Training language models to follow instructions with human feedback
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Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Report PersonaGym: Evaluating Persona Agents and LLMs
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Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Report Proximal Policy Optimization Algorithms
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Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Report Lily-cybersecurity-7b-v0.2: A cybersecurity assistant
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Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Report Toward expert-level medical question answering with large language models
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Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Report Beyond the imitation game: Quantifying and extrapolating the capabilities of language models.Transactions on machine learning research, 2023
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Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Report Strom, Andy Applebaum, Doug P
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Reference 60
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Reference 62
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Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Report Cybermetric: a benchmark dataset based on retrieval-augmented generation for evaluating llms in cybersecurity knowledge
Reference 66
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Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Report A comprehensive survey of hallucination mitigation techniques in large language models
Reference 67
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Reference 69
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Reference 74
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Reference 76
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Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Report When LLMs Meet Cybersecurity: A Systematic Literature Review
Reference 77
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Reference 78
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Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Report Lima: Less is more for alignment
Reference 79
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Reference 80
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