Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-16T05:53:58.611223Z
Paper Citation Record · LEDGER
Llama-3.1-FoundationAI-SecurityLLM-Base-8B Technical Report
As of 19 August 2026, this Paper Citation Record lists 78 of 78 outbound references and 19 inbound Pith citation observations for arXiv:2504.21039.
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 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T17:55:19.850080Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T14:29:53.641715Z
Reference resolution
78 of 78 outbound references displayed
- verified exact1
- verified fuzzy50
- unresolved27
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 23299e5e-89db-44f8-972f-11fa6ba490df · outbound
This paper cites CTIBench: A bench- mark for evaluating LLMs in cyber threat intelligence.
Llama-3.1-FoundationAI-SecurityLLM-Base-8B Technical Report CTIBench: A bench- mark for evaluating LLMs in cyber threat intelligence
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T05:54:00.092445Z
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 b467f791-242f-402e-a3b8-bc6e65d0d699 · outbound
This paper cites Synthetic network traffic data genera- tion: A comparative study.
Llama-3.1-FoundationAI-SecurityLLM-Base-8B Technical Report Synthetic network traffic data genera- tion: A comparative study
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T05:54:00.078451Z
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 b0d0fb8c-f2d9-460f-ae55-dbafc8375f95 · outbound
This paper cites Llemma: An Open Language Model For Mathematics.
Llama-3.1-FoundationAI-SecurityLLM-Base-8B Technical Report Llemma: An Open Language Model For Mathematics
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T05:53:58.277363Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 476fc682-a06d-4461-805f-510c96ace741 · outbound
This paper cites Purple Llama CyberSecEval: A Secure Coding Benchmark for Language Models.
Llama-3.1-FoundationAI-SecurityLLM-Base-8B Technical Report Purple Llama CyberSecEval: A Secure Coding Benchmark for Language Models
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T05:53:58.282951Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 18f9be2f-8df6-4a20-ac3f-a9013cdc667b · outbound
This paper cites Blakely, and Nidhi Ras- togi.
Llama-3.1-FoundationAI-SecurityLLM-Base-8B Technical Report Blakely, and Nidhi Ras- togi
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T05:53:58.294004Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 49e8d926-f6a0-448f-9652-59849d6ca6eb · outbound
This paper cites Does your data spark joy? Performance gains from domain upsampling at the end of training.
Llama-3.1-FoundationAI-SecurityLLM-Base-8B Technical Report Does your data spark joy? Performance gains from domain upsampling at the end of training
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T05:53:58.298711Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 474029e6-f7ec-4bd9-b8cf-f5df3628b15d · outbound
This paper cites Space/time trade-offs in hash coding with allowable errors.
Llama-3.1-FoundationAI-SecurityLLM-Base-8B Technical Report Space/time trade-offs in hash coding with allowable errors
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T05:53:58.303568Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 942dad0e-ca29-4ae9-88ea-08a4c2784efa · outbound
This paper cites Language models are few-shot learn- ers.
Llama-3.1-FoundationAI-SecurityLLM-Base-8B Technical Report Language models are few-shot learn- ers
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T05:54:00.055454Z
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 29bf6854-9fd9-4ec1-bc01-38caabfbc19c · outbound
This paper cites The diamond model of intrusion analysis.
Llama-3.1-FoundationAI-SecurityLLM-Base-8B Technical Report The diamond model of intrusion analysis
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T05:54:00.042249Z
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 e034aaca-6af2-43a6-a4be-32c136cd12e8 · outbound
This paper cites Common attack pattern enumerations and classifications (capec).
Llama-3.1-FoundationAI-SecurityLLM-Base-8B Technical Report Common attack pattern enumerations and classifications (capec)
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T05:54:00.030078Z
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 a5037df0-c68e-4bba-b79e-e44e0575b68d · outbound
This paper cites IMHO fine-tuning improves claim detection.
Llama-3.1-FoundationAI-SecurityLLM-Base-8B Technical Report IMHO fine-tuning improves claim detection
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T05:54:00.017236Z
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 27f7d920-4101-4f8a-8288-9c1c48547b2a · outbound
This paper cites Continual Pre-Training is (not) What You Need in Domain Adaption.
Llama-3.1-FoundationAI-SecurityLLM-Base-8B Technical Report Continual Pre-Training is (not) What You Need in Domain Adaption
Reference 12
- Resolution
- verified exact
- local_arxiv, observed 2026-08-16T05:53:59.044366Z
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 f56b703e-9212-4dbb-b812-f3f6e8cb9945 · outbound
This paper cites MEDITRON-70B: Scaling medical pretraining for large language models.
Llama-3.1-FoundationAI-SecurityLLM-Base-8B Technical Report MEDITRON-70B: Scaling medical pretraining for large language models
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T05:54:00.005179Z
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 beeae788-4cc9-4241-b02a-7edd5e5af180 · outbound
This paper cites Kenderdine, J.
Llama-3.1-FoundationAI-SecurityLLM-Base-8B Technical Report Kenderdine, J
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T05:53:59.991759Z
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 5ae5d38a-2beb-46a9-b1e6-b1043b51dc92 · outbound
This paper cites SaulLM-54B & SaulLM-141B: Scaling up domain adaptation for the legal domain.
Llama-3.1-FoundationAI-SecurityLLM-Base-8B Technical Report SaulLM-54B & SaulLM-141B: Scaling up domain adaptation for the legal domain
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T05:53:59.981744Z
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 24d0018b-7367-42ee-9350-1b083441bdce · outbound
This paper cites SaulLM-7B: A pioneering large language model for law.
Llama-3.1-FoundationAI-SecurityLLM-Base-8B Technical Report SaulLM-7B: A pioneering large language model for law
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T05:53:59.971285Z
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 eca82fbe-b4b4-4cfa-8511-8ac984f9621c · outbound
This paper cites General Data Protection Regulation (GDPR).
Llama-3.1-FoundationAI-SecurityLLM-Base-8B Technical Report General Data Protection Regulation (GDPR)
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T05:53:59.958701Z
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 8f0ec669-cc2a-4de3-92a1-9c14dbebdd2a · outbound
This paper cites Generative ai and large language models for cyber security: All insights you need.
Llama-3.1-FoundationAI-SecurityLLM-Base-8B Technical Report Generative ai and large language models for cyber security: All insights you need
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T05:53:59.944529Z
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 9c7d851b-44bd-4782-b9f7-a5b77e485398 · outbound
This paper cites The Pile: An 800GB Dataset of Diverse Text for Language Modeling.
Llama-3.1-FoundationAI-SecurityLLM-Base-8B Technical Report The Pile: An 800GB Dataset of Diverse Text for Language Modeling
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T05:53:58.354687Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 668b6f6e-c2d2-44d2-9928-55e59d7e8bda · outbound
This paper cites Parameter-efficient fine-tuning of LLaMA for the clinical domain.
Llama-3.1-FoundationAI-SecurityLLM-Base-8B Technical Report Parameter-efficient fine-tuning of LLaMA for the clinical domain
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T05:53:59.930968Z
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 1700f037-ddd0-4d7e-91c0-61b5f0e3b474 · outbound
This paper cites Gemini 2.0 flash-lite.
Llama-3.1-FoundationAI-SecurityLLM-Base-8B Technical Report Gemini 2.0 flash-lite
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T05:53:59.918473Z
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 b8812123-9b48-47a0-8e00-dcff7d6aa9ed · outbound
This paper cites The llama 3 herd of models.
Llama-3.1-FoundationAI-SecurityLLM-Base-8B Technical Report The llama 3 herd of models
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T05:53:59.904663Z
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 a6ea22b3-3522-4d0a-a96f-08a303d2c448 · outbound
This paper cites Domain-specific language model pretraining for biomedical natural language processing.
Llama-3.1-FoundationAI-SecurityLLM-Base-8B Technical Report Domain-specific language model pretraining for biomedical natural language processing
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T05:53:59.889887Z
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 deff302e-3d18-4dc0-9d59-3b7eb471d715 · outbound
This paper cites Generative active adaptation for drifting and imbalanced network intrusion detection.
Llama-3.1-FoundationAI-SecurityLLM-Base-8B Technical Report Generative active adaptation for drifting and imbalanced network intrusion detection
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T05:53:59.877951Z
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 fd72152c-3d1e-41ba-bfae-45fed1adfdb4 · outbound
This paper cites Don’t stop pretraining: Adapt language models to domains and tasks.
Llama-3.1-FoundationAI-SecurityLLM-Base-8B Technical Report Don’t stop pretraining: Adapt language models to domains and tasks
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T05:53:59.866834Z
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 252d64a2-9458-492a-90bf-7ecf569e644f · outbound
This paper cites Measuring massive multitask language understanding.
Llama-3.1-FoundationAI-SecurityLLM-Base-8B Technical Report Measuring massive multitask language understanding
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T05:53:59.854353Z
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 65500628-fbad-40c5-9976-5fdcd979b713 · outbound
This paper cites Efficient adaptation of pretrained transformers for abstractive summarization.
Llama-3.1-FoundationAI-SecurityLLM-Base-8B Technical Report Efficient adaptation of pretrained transformers for abstractive summarization
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T05:53:59.840053Z
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 d3478f5f-835c-4c51-921b-d004e6e9b9a2 · outbound
This paper cites Simple and scalable strategies to continually pre- train large language models.
Llama-3.1-FoundationAI-SecurityLLM-Base-8B Technical Report Simple and scalable strategies to continually pre- train large language models
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T05:53:59.826421Z
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 d977f559-1ddf-4593-a9bc-2bdde564f4e8 · outbound
This paper cites Towards miti- gating LLM hallucination via self reflection.
Llama-3.1-FoundationAI-SecurityLLM-Base-8B Technical Report Towards miti- gating LLM hallucination via self reflection
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T05:53:59.813601Z
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 0d73b8e1-0cc4-4d25-96f6-2fb3b9f330fc · outbound
This paper cites Mistral 7B.
Llama-3.1-FoundationAI-SecurityLLM-Base-8B Technical Report Mistral 7B
Reference 30
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T05:53:58.398630Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c41105ea-3d4f-4629-b1c4-08be13eae9ce · outbound
This paper cites SecBench: A Comprehensive Multi-Dimensional Benchmarking Dataset for LLMs in Cybersecurity.
Llama-3.1-FoundationAI-SecurityLLM-Base-8B Technical Report SecBench: A Comprehensive Multi-Dimensional Benchmarking Dataset for LLMs in Cybersecurity
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T05:53:58.402396Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a0f8fc9e-dace-4826-ac03-7574d2f7f5e5 · outbound
This paper cites Guide to cyber threat information sharing.
Llama-3.1-FoundationAI-SecurityLLM-Base-8B Technical Report Guide to cyber threat information sharing
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T05:53:59.800733Z
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 85e5e715-aa25-4a8e-ae7b-6c53011a20f0 · outbound
This paper cites Bag of Tricks for Efficient Text Classification.
Llama-3.1-FoundationAI-SecurityLLM-Base-8B Technical Report Bag of Tricks for Efficient Text Classification
Reference 33
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T05:53:58.410080Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5dc9595e-9a29-4ebd-a40c-ecf58db9fa84 · outbound
This paper cites Gonzalez, Hao Zhang, and Ion Stoica.
Llama-3.1-FoundationAI-SecurityLLM-Base-8B Technical Report Gonzalez, Hao Zhang, and Ion Stoica
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T05:53:59.787753Z
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 afc680b0-2f77-4fe8-823b-6fccdc39f463 · outbound
This paper cites BioBERT: a pre-trained biomedical language representation model for biomedical text mining.
Llama-3.1-FoundationAI-SecurityLLM-Base-8B Technical Report BioBERT: a pre-trained biomedical language representation model for biomedical text mining
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T05:53:59.776418Z
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 96f983c0-cd2c-45fb-bad7-0e417e7f97c3 · outbound
This paper cites Seceval: A comprehensive benchmark for evaluating cybersecurity knowledge of foundation models.
Llama-3.1-FoundationAI-SecurityLLM-Base-8B Technical Report Seceval: A comprehensive benchmark for evaluating cybersecurity knowledge of foundation models
Reference 36
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T05:53:58.421846Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 986754e9-82a7-4aa1-81d0-590e9d680372 · outbound
This paper cites StarCoder: may the source be with you! arXiv [cs.CL], May 2023.
Llama-3.1-FoundationAI-SecurityLLM-Base-8B Technical Report StarCoder: may the source be with you! arXiv [cs.CL], May 2023
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T05:53:59.755324Z
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 4aa974e8-0069-441e-8fa3-30d34cd0bcab · outbound
This paper cites Decoupled Weight Decay Regularization.
Llama-3.1-FoundationAI-SecurityLLM-Base-8B Technical Report Decoupled Weight Decay Regularization
Reference 38
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T05:53:58.430380Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1748338f-15f0-4b57-9989-54fc9d317741 · outbound
This paper cites SGDR: Stochastic Gradient Descent with Warm Restarts.
Llama-3.1-FoundationAI-SecurityLLM-Base-8B Technical Report SGDR: Stochastic Gradient Descent with Warm Restarts
Reference 39
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T05:53:58.434873Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cd077b67-53fe-4d9c-a7c9-85bba631da2d · outbound
This paper cites an unresolved cited work.
Llama-3.1-FoundationAI-SecurityLLM-Base-8B Technical Report Unresolved cited work
Reference 40
- Resolution
- unresolved
- raw_fallback, observed 2026-08-16T05:53:59.741401Z
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 298da510-fe41-4221-9758-277008ee7a1f · outbound
This paper cites Threat intelligence standards.
Llama-3.1-FoundationAI-SecurityLLM-Base-8B Technical Report Threat intelligence standards
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T05:53:59.728188Z
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 9989e8ba-f7fc-435a-9478-a7f0e2844df2 · outbound
This paper cites Openai o1 system card, December 2024.
Llama-3.1-FoundationAI-SecurityLLM-Base-8B Technical Report Openai o1 system card, December 2024
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T05:53:59.714854Z
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 53dc346b-d546-466c-9353-f974cf53075e · outbound
This paper cites GPT-4 Technical Report.
Llama-3.1-FoundationAI-SecurityLLM-Base-8B Technical Report GPT-4 Technical Report
Reference 43
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T05:53:58.451566Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 25051fcc-fc6c-48f4-baa0-a192d64a44f0 · outbound
This paper cites Reuse, don’t retrain: A recipe for continued pretraining of language models.
Llama-3.1-FoundationAI-SecurityLLM-Base-8B Technical Report Reuse, don’t retrain: A recipe for continued pretraining of language models
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T05:53:59.701261Z
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 79d3caa8-34ca-4f10-9be3-b4bc93d32d80 · outbound
This paper cites Examining zero-shot vulnerability repair with large language models.
Llama-3.1-FoundationAI-SecurityLLM-Base-8B Technical Report Examining zero-shot vulnerability repair with large language models
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T05:53:59.687145Z
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 e57cba71-5727-4bf9-be7a-3f4bacedf45e · outbound
This paper cites The FineWeb Datasets: Decanting the Web for the Finest Text Data at Scale.
Llama-3.1-FoundationAI-SecurityLLM-Base-8B Technical Report The FineWeb Datasets: Decanting the Web for the Finest Text Data at Scale
Reference 46
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T05:53:58.464431Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4bf20a4d-7da3-4e35-96fa-bbf6f80a7fde · outbound
This paper cites Exploring the limits of transfer learning with a unified text-to-text transformer.
Llama-3.1-FoundationAI-SecurityLLM-Base-8B Technical Report Exploring the limits of transfer learning with a unified text-to-text transformer
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T05:53:59.673165Z
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 695c6ceb-4571-469d-bb09-13c1bb6a3e4c · outbound
This paper cites DeepSpeed: System optimizations enable training deep learning models with over 100 billion parameters.
Llama-3.1-FoundationAI-SecurityLLM-Base-8B Technical Report DeepSpeed: System optimizations enable training deep learning models with over 100 billion parameters
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T05:53:59.541283Z
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 bf3924ea-29ee-4005-b402-9ec3f368cd2b · outbound
This paper cites Code Llama: Open Foundation Models for Code.
Llama-3.1-FoundationAI-SecurityLLM-Base-8B Technical Report Code Llama: Open Foundation Models for Code
Reference 49
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T05:53:58.479160Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation eae7a8b7-868f-427c-a551-c978ed41b1fb · outbound
This paper cites Toolformer: Language models can teach themselves to use tools.
Llama-3.1-FoundationAI-SecurityLLM-Base-8B Technical Report Toolformer: Language models can teach themselves to use tools
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T05:53:59.476988Z
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 ad846b99-c98b-4591-8ac9-1a12f1279db5 · outbound
This paper cites Google announces sec-gemini v1, a new experimental cybersecurity model.
Llama-3.1-FoundationAI-SecurityLLM-Base-8B Technical Report Google announces sec-gemini v1, a new experimental cybersecurity model
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T05:53:59.464043Z
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 94c2f82f-4c58-4859-94e4-e1dcf2a14dd3 · outbound
This paper cites Thwarting cybersecurity attacks with explainable concept drift.
Llama-3.1-FoundationAI-SecurityLLM-Base-8B Technical Report Thwarting cybersecurity attacks with explainable concept drift
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T05:53:59.451137Z
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 bb9bd540-4291-4a5f-a517-b2d19df45584 · outbound
This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.
Llama-3.1-FoundationAI-SecurityLLM-Base-8B Technical Report DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
Reference 53
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T05:53:58.500076Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b248db59-b0d5-4715-a42d-8baa1fb4f897 · outbound
This paper cites RepairLLaMA: Efficient Representations and Fine-Tuned Adapters for Program Repair.
Llama-3.1-FoundationAI-SecurityLLM-Base-8B Technical Report RepairLLaMA: Efficient Representations and Fine-Tuned Adapters for Program Repair
Reference 54
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T05:53:58.504432Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0c18ddb6-bc89-4099-a987-4e7357f8fbc0 · outbound
This paper cites Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters.
Llama-3.1-FoundationAI-SecurityLLM-Base-8B Technical Report Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters
Reference 55
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T05:53:58.509336Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d3499993-03d4-4b39-9635-ac62e2588c55 · outbound
This paper cites Strom, Andy Applebaum, Doug P.
Llama-3.1-FoundationAI-SecurityLLM-Base-8B Technical Report Strom, Andy Applebaum, Doug P
Reference 56
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T05:53:59.437354Z
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 9a39fc21-4569-4c3e-8936-7d2b97b1b35c · outbound
This paper cites Dial-insight: Fine-tuning Large Language Models with High-Quality Domain-Specific Data Preventing Capability Collapse.
Llama-3.1-FoundationAI-SecurityLLM-Base-8B Technical Report Dial-insight: Fine-tuning Large Language Models with High-Quality Domain-Specific Data Preventing Capability Collapse
Reference 57
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T05:53:58.517019Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 49a0f013-712d-44d2-afbc-68c5423339a2 · outbound
This paper cites Cve® – common vulnerabilities and exposures program.
Llama-3.1-FoundationAI-SecurityLLM-Base-8B Technical Report Cve® – common vulnerabilities and exposures program
Reference 58
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T05:53:59.391018Z
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 4e0166ad-729d-4ab9-b5b6-a336baaf6fcb · outbound
This paper cites Cybermetric: A benchmark dataset based on retrieval-augmented generation for evaluating llms in cybersecurity knowledge.
Llama-3.1-FoundationAI-SecurityLLM-Base-8B Technical Report Cybermetric: A benchmark dataset based on retrieval-augmented generation for evaluating llms in cybersecurity knowledge
Reference 59
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T05:53:58.525464Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c84a0cd7-a090-444b-b61e-302ae53c4576 · outbound
This paper cites Computer Systems Security: Planning for Success.
Llama-3.1-FoundationAI-SecurityLLM-Base-8B Technical Report Computer Systems Security: Planning for Success
Reference 60
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T05:53:59.372086Z
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 d8311bd8-b6b8-495a-9bf2-d7529ecd3519 · outbound
This paper cites A comprehensive survey of hallucination mitigation tech- niques in large language models.
Llama-3.1-FoundationAI-SecurityLLM-Base-8B Technical Report A comprehensive survey of hallucination mitigation tech- niques in large language models
Reference 61
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T05:53:59.357376Z
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 3967796b-d2dd-4459-adc0-f96c755ce19c · outbound
This paper cites Llama 2: Open foundation and fine-tuned chat models.
Llama-3.1-FoundationAI-SecurityLLM-Base-8B Technical Report Llama 2: Open foundation and fine-tuned chat models
Reference 62
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T05:53:59.343262Z
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 a28d9f04-6dcf-46da-a5f0-525374d8b08a · outbound
This paper cites Rush, and Thomas Wolf.
Llama-3.1-FoundationAI-SecurityLLM-Base-8B Technical Report Rush, and Thomas Wolf
Reference 63
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T05:53:59.326814Z
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 10cb685b-eae8-4849-868e-f29fe335dbaa · outbound
This paper cites Attention is all you need.Advances in neural information processing systems, 30, 2017.
Llama-3.1-FoundationAI-SecurityLLM-Base-8B Technical Report Attention is all you need.Advances in neural information processing systems, 30, 2017
Reference 64
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T05:53:58.549558Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ed94eb11-3d25-414d-a593-ee9117d83482 · outbound
This paper cites CYBERSECEVAL 3: Advancing the Evaluation of Cybersecurity Risks and Capabilities in Large Language Models.
Llama-3.1-FoundationAI-SecurityLLM-Base-8B Technical Report CYBERSECEVAL 3: Advancing the Evaluation of Cybersecurity Risks and Capabilities in Large Language Models
Reference 65
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T05:53:58.554588Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b5e1a1d2-e727-444e-950c-367083be62a3 · outbound
This paper cites Chain-of-Thought Prompting Elicits Reasoning in Large Language Models.
Llama-3.1-FoundationAI-SecurityLLM-Base-8B Technical Report Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Reference 66
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T05:53:58.558442Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 43333eec-9166-4ce4-a57d-3f59bfe611a9 · outbound
This paper cites AI for DevSecOps, WhiteRabbitNeo.
Llama-3.1-FoundationAI-SecurityLLM-Base-8B Technical Report AI for DevSecOps, WhiteRabbitNeo
Reference 67
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T05:53:59.304302Z
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 37c1958c-e7f4-45cf-ae61-6986891d368d · outbound
This paper cites Continued pretraining for better zero- and few-shot promptability.arXiv [cs.CL], October 2022.
Llama-3.1-FoundationAI-SecurityLLM-Base-8B Technical Report Continued pretraining for better zero- and few-shot promptability.arXiv [cs.CL], October 2022
Reference 68
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T05:53:59.288751Z
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 87a4c50c-b4ef-40d9-bfdd-733faae84e3e · outbound
This paper cites Doremi: Optimizing data mixtures speeds up language model pretraining.
Llama-3.1-FoundationAI-SecurityLLM-Base-8B Technical Report Doremi: Optimizing data mixtures speeds up language model pretraining
Reference 69
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T05:53:59.271245Z
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 76c6fe1a-6c3c-4bbf-9775-2d454ce73c2b · outbound
This paper cites Large language models for cyber security: A systematic literature review.
Llama-3.1-FoundationAI-SecurityLLM-Base-8B Technical Report Large language models for cyber security: A systematic literature review
Reference 70
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T05:53:58.574307Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3a0abcef-47ec-432e-9dba-f2f570ba5454 · outbound
This paper cites Synthetic continued pretraining.
Llama-3.1-FoundationAI-SecurityLLM-Base-8B Technical Report Synthetic continued pretraining
Reference 71
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T05:53:58.578844Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a6fa85b2-054f-4b91-b002-5694a6d1b53f · outbound
This paper cites Primus: A pioneering collection of open-source datasets for cybersecurity LLM training.
Llama-3.1-FoundationAI-SecurityLLM-Base-8B Technical Report Primus: A pioneering collection of open-source datasets for cybersecurity LLM training
Reference 72
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T05:53:59.256330Z
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 7e74cbec-79a9-45a2-b914-e3c19d33f93e · outbound
This paper cites A Continued Pretrained LLM Approach for Automatic Medical Note Generation.
Llama-3.1-FoundationAI-SecurityLLM-Base-8B Technical Report A Continued Pretrained LLM Approach for Automatic Medical Note Generation
Reference 73
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T05:53:58.589369Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c0c1c6eb-2423-4a16-aa25-52d549761c37 · outbound
This paper cites HackMentor: Fine-tuning large language models for cybersecurity.
Llama-3.1-FoundationAI-SecurityLLM-Base-8B Technical Report HackMentor: Fine-tuning large language models for cybersecurity
Reference 74
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T05:53:59.240825Z
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 5ca437e6-dff5-449a-a90c-cf7588f24962 · outbound
This paper cites The following are multiple choice questions about computer security.
Llama-3.1-FoundationAI-SecurityLLM-Base-8B Technical Report The following are multiple choice questions about computer security
Reference 75
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T05:53:59.223546Z
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 f4bd38d8-8f11-421b-848f-c7d79407efc1 · outbound
This paper cites answer is.
Llama-3.1-FoundationAI-SecurityLLM-Base-8B Technical Report answer is
Reference 76
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T05:53:59.207315Z
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 50a0960f-846f-4cba-9d85-f8a4c9b3c1e0 · outbound
This paper cites C” or “(B).
Llama-3.1-FoundationAI-SecurityLLM-Base-8B Technical Report C” or “(B)
Reference 77
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T05:53:59.191927Z
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 c640a4e4-f651-4a03-9f30-7ea37176719c · outbound
This paper cites option” instead of “ answer.
Llama-3.1-FoundationAI-SecurityLLM-Base-8B Technical Report option” instead of “ answer
Reference 78
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T05:53:59.173741Z
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.
Pith citing papers
Observation d77d099b-cca0-4cbd-933b-fcfe8bfa595b · inbound
DrSR: LLM based Scientific Equation Discovery with Dual Reasoning from Data and Experience cites this paper.
DrSR: LLM based Scientific Equation Discovery with Dual Reasoning from Data and Experience Llama-3.1-FoundationAI-SecurityLLM-Base-8B Technical Report
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:05:45.454831Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dc365024-fb1e-4075-af81-bffb556a7b67 · inbound
EraRAG: Efficient and Incremental Retrieval Augmented Generation for Growing Corpora cites this paper.
EraRAG: Efficient and Incremental Retrieval Augmented Generation for Growing Corpora Llama-3.1-FoundationAI-SecurityLLM-Base-8B Technical Report
Reference 54
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T22:44:04.596340Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 334cf821-bb61-412a-b3c4-e7bb0aaa6881 · inbound
Less Data, More Security: Advancing Cybersecurity LLMs Specialization via Resource-Efficient Domain-Adaptive Continuous Pre-training with Minimal Tokens cites this paper.
Less Data, More Security: Advancing Cybersecurity LLMs Specialization via Resource-Efficient Domain-Adaptive Continuous Pre-training with Minimal Tokens Llama-3.1-FoundationAI-SecurityLLM-Base-8B Technical Report
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T21:36:06.621588Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 98a875d2-c69a-4696-a036-f0e13ab8ab2b · inbound
Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Report cites this paper.
Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Report Llama-3.1-FoundationAI-SecurityLLM-Base-8B Technical Report
Reference 36
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T05:57:29.305859Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d09a16ea-af3a-4f96-934a-e5eb43871913 · inbound
LLM-Based Scientific Equation Discovery via Physics-Informed Token-Regularized Policy Optimization cites this paper.
LLM-Based Scientific Equation Discovery via Physics-Informed Token-Regularized Policy Optimization Llama-3.1-FoundationAI-SecurityLLM-Base-8B Technical Report
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T01:09:51.981628Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 80033fc3-cc5d-45f3-a32f-17e001563af9 · inbound
DriveCode: Domain Specific Numerical Encoding for LLM-Based Autonomous Driving cites this paper.
DriveCode: Domain Specific Numerical Encoding for LLM-Based Autonomous Driving Llama-3.1-FoundationAI-SecurityLLM-Base-8B Technical Report
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T06:00:14.473178Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9898de83-904a-47bd-b2e7-6363f59d12f5 · inbound
XekRung Technical Report cites this paper.
XekRung Technical Report Llama-3.1-FoundationAI-SecurityLLM-Base-8B Technical Report
Reference 160
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T14:51:14.731635Z
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 9b92d415-08b5-4bd5-83bc-96101a54b91c · inbound
LLMs Uncertainty Quantification via Adaptive Conformal Semantic Entropy cites this paper.
LLMs Uncertainty Quantification via Adaptive Conformal Semantic Entropy Llama-3.1-FoundationAI-SecurityLLM-Base-8B Technical Report
Reference 19
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T13:15:45.997606Z
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 f589ce3a-e9bd-470e-b0df-ef1ccc34d52f · inbound
Threat Modelling using Domain-Adapted Language Models: Empirical Evaluation and Insights cites this paper.
Threat Modelling using Domain-Adapted Language Models: Empirical Evaluation and Insights Llama-3.1-FoundationAI-SecurityLLM-Base-8B Technical Report
Reference 12
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T06:56:25.777806Z
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 80087fdf-e8d3-4520-a74e-edcaef8d11a3 · inbound
A Red Teaming Framework for Evaluating Robustness of AI-enabled Security Orchestration, Automation, and Response Systems cites this paper.
A Red Teaming Framework for Evaluating Robustness of AI-enabled Security Orchestration, Automation, and Response Systems Llama-3.1-FoundationAI-SecurityLLM-Base-8B Technical Report
Reference 6
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T15:28:25.616508Z
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 0278fedb-b828-4b79-a3c4-6a3780d54944 · inbound
Cybersecurity AI (CAI) Dataset cites this paper.
Cybersecurity AI (CAI) Dataset Llama-3.1-FoundationAI-SecurityLLM-Base-8B Technical Report
Reference 27
- Resolution
- verified exact
- arxiv_id, observed 2026-06-29T12:13:26.811256Z
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 01f5391e-2520-4ec6-b0a7-92e96e88c828 · inbound
Multilingual Long-Form Speech Instruction Following: KIT's Submission to IWSLT 2026 cites this paper.
Multilingual Long-Form Speech Instruction Following: KIT's Submission to IWSLT 2026 Llama-3.1-FoundationAI-SecurityLLM-Base-8B Technical Report
Reference 9
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-02T08:06:48.144137Z
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 9eb36339-c7fb-4dfc-b5f5-500ea5f71825 · inbound
Closing the Sim-to-Real Gap: An Evaluation Framework for Autonomous Cyber Defense Configuration of Commercial EDR cites this paper.
Closing the Sim-to-Real Gap: An Evaluation Framework for Autonomous Cyber Defense Configuration of Commercial EDR Llama-3.1-FoundationAI-SecurityLLM-Base-8B Technical Report
Reference 40
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T21:57:25.781215Z
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 63774179-407c-47bd-9c12-8b4e8ee4810c · inbound
ShellGames: Speculative LLM-Driven SSH Deception cites this paper.
ShellGames: Speculative LLM-Driven SSH Deception Llama-3.1-FoundationAI-SecurityLLM-Base-8B Technical Report
Reference 7
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T21:48:59.226012Z
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 9e5d9850-88c4-4358-a83f-09654147cf19 · inbound
Less is More: Lightweight Prompt Compression for Question Answering Applications on Edge Devices cites this paper.
Less is More: Lightweight Prompt Compression for Question Answering Applications on Edge Devices Llama-3.1-FoundationAI-SecurityLLM-Base-8B Technical Report
Reference 34
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T08:55:34.905157Z
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 b08d44cc-6354-4c88-87df-1a7c75e3bbcd · inbound
Inherited Circuits, Learned Semantics: How Fine-Tuning Creates Evasion Vulnerabilities Invisible to Standard Evaluation cites this paper.
Inherited Circuits, Learned Semantics: How Fine-Tuning Creates Evasion Vulnerabilities Invisible to Standard Evaluation Llama-3.1-FoundationAI-SecurityLLM-Base-8B Technical Report
Reference 11
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T14:29:53.643831Z
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 0f2451a1-f7bb-4848-a8b0-f6ef12bf15db · inbound
MOT-SR: Multi-Objective Tool-Augmented Scientific Equation Discovery with Large Language Models cites this paper.
MOT-SR: Multi-Objective Tool-Augmented Scientific Equation Discovery with Large Language Models Llama-3.1-FoundationAI-SecurityLLM-Base-8B Technical Report
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T04:39:26.027029Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4e9ef4b4-22af-40d3-b758-29e49076fb20 · inbound
Antares: Foundation Models for Agentic Vulnerability Localization cites this paper.
Antares: Foundation Models for Agentic Vulnerability Localization Llama-3.1-FoundationAI-SecurityLLM-Base-8B Technical Report
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T07:50:50.630291Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a6f200db-a1a6-4c1c-ab91-929adb2e5645 · inbound
Operationalizing Cyber Threat Intelligence with GraphRAG cites this paper.
Operationalizing Cyber Threat Intelligence with GraphRAG Llama-3.1-FoundationAI-SecurityLLM-Base-8B Technical Report
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T17:55:19.850080Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.