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Paper Citation Record · LEDGER

Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Report

As of 22 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.

pith.paper-citation-record.v1
2508.01059 v1

Coverage vector

measured 94 of 94 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T05:57:29.610113Z

measured 105 of 105 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T14:42:50.833204Z

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

94 of 94 outbound references displayed

  • verified exact1
  • verified fuzzy20
  • unresolved72
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

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

Outbound references

Observation 6d71bb92-94ca-4519-a6c3-5ee0a039dc93 · outbound

This paper cites https://www.first.org/cvss/v3.1/specification-document.

Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Report https://www.first.org/cvss/v3.1/specification-document

Reference 1

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no resolver link, observed 2026-08-06T05:57:29.113886Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:57:29.113886Z digest=sha256:43b08dc662c020b63ef07fba3b393fd735ef4e0c9b1abfcece4d10fc710b5e27

Observation 164685a2-094a-4c0e-9d28-340c3105add2 · outbound

This paper cites Phi-4 Technical Report.

Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Report Phi-4 Technical Report

Reference 2

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no resolver link, observed 2026-08-06T05:57:29.120192Z

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source=pdf_text observed=2026-08-06T05:57:29.120192Z digest=sha256:0117c5d3ba2a871ac6c4e431fed853a007cf85494546a1ba5a5b4af110267d7e

Observation 1fccf4ec-840c-46b0-a0a3-f2083f8d3847 · outbound

This paper cites CTIBench: A benchmark for evaluating LLMs in cyber threat intelligence.

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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no resolver link, observed 2026-08-06T05:57:29.126082Z

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source=pdf_text observed=2026-08-06T05:57:29.126082Z digest=sha256:4882c6bc5ec9f3954e9de5a1b2b9a93abbe72b60814a07dd3ceefb0d272a2879

Observation 7327d8ff-52f3-41e7-954d-16872c996fa4 · outbound

This paper cites Cysecbert: A domain- adapted language model for the cybersecurity domain, 2022.

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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no resolver link, observed 2026-08-06T05:57:29.131216Z

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source=pdf_text observed=2026-08-06T05:57:29.131216Z digest=sha256:6b157675f9dad2c855493e5001d11abb7c248ebd8756666c826829d3f65e0abf

Observation 239ce2a5-1d50-4be4-b825-78d95d9876f4 · outbound

This paper cites Llama-nemotron: Efficient reasoning models.

Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Report Llama-nemotron: Efficient reasoning models

Reference 5

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no resolver link, observed 2026-08-06T05:57:29.136754Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T05:57:29.136754Z digest=sha256:ed574c7db87e0149482da833d8992a63c44cd105421d0fe1a53d9b8c087635bc

Observation d8b0ea9a-ed79-49d7-a65c-620cadc46e55 · outbound

This paper cites Language models are few-shot learners.

Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Report Language models are few-shot learners

Reference 6

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no resolver link, observed 2026-08-06T05:57:29.142484Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:57:29.142484Z digest=sha256:85796c8b50498c1828209e21d7b8e862ffd3b8b4bbb78157faef4805b9939a85

Observation b1c6e441-3429-479c-aaae-e850b88b5667 · outbound

This paper cites Common attack pattern enumerations and classifications (capec).

Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Report Common attack pattern enumerations and classifications (capec)

Reference 7

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no resolver link, observed 2026-08-06T05:57:29.148007Z

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source=pdf_text observed=2026-08-06T05:57:29.148007Z digest=sha256:70cfd44f1a46e4a7fee9bd0f6122e4657d381b2c2b99846311edad48f6339b99

Observation 31519e4a-f247-4d8f-930c-d7a71a89168b · outbound

This paper cites Evaluating Large Language Models Trained on Code.

Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Report Evaluating Large Language Models Trained on Code

Reference 8

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no resolver link, observed 2026-08-06T05:57:29.154291Z

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source=pdf_text observed=2026-08-06T05:57:29.154291Z digest=sha256:e85e939ffb383a78eacbde45bc533d35d9a4d94803ac13ac60357ee8d59ad3b3

Observation fbd3c0ac-789b-464d-bf4b-3dce702147d8 · outbound

This paper cites MEDITRON-70B: Scaling Medical Pretraining for Large Language Models.

Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Report MEDITRON-70B: Scaling Medical Pretraining for Large Language Models

Reference 9

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no resolver link, observed 2026-08-06T05:57:29.160461Z

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source=pdf_text observed=2026-08-06T05:57:29.160461Z digest=sha256:cfb756bd8a0128979b812e032db7921013e9fba8de78758cb2dbd5621d31d6e3

Observation 2ff82b81-6e20-4baf-9268-230bdd40be83 · outbound

This paper cites Kenderdine, J.

Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Report Kenderdine, J

Reference 10

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no resolver link, observed 2026-08-06T05:57:29.166630Z

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source=pdf_text observed=2026-08-06T05:57:29.166630Z digest=sha256:15bf17c00d842dccac9b13721df4741d6abd8e5bcede0e4ad0c0e013d48bf226

Observation cd57f5ed-29a9-4a6a-bade-05f96bf2061e · outbound

This paper cites Scaling instruction-finetuned language models.

Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Report Scaling instruction-finetuned language models

Reference 11

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no resolver link, observed 2026-08-06T05:57:29.171888Z

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source=pdf_text observed=2026-08-06T05:57:29.171888Z digest=sha256:0ba95235ff906effc2b114e3fc8078acc93ff865857a916cd4a4056fe7480b44

Observation 83e01279-173f-47c5-8788-cefa8d48057b · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Report Training Verifiers to Solve Math Word Problems

Reference 12

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no resolver link, observed 2026-08-06T05:57:29.178051Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T05:57:29.178051Z digest=sha256:055b491238bfe4f3ba3bcd506d10461b9dac9582ac16f8e693286d2185cb63a0

Observation b226be3a-9cd0-4c27-afda-91770ef748e7 · outbound

This paper cites Saullm-54b & saullm-141b: Scaling up domain adaptation for the legal domain.

Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Report Saullm-54b & saullm-141b: Scaling up domain adaptation for the legal domain

Reference 13

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no resolver link, observed 2026-08-06T05:57:29.183633Z

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source=pdf_text observed=2026-08-06T05:57:29.183633Z digest=sha256:44504b28a056a7e956ab08bd7b415dee0cbec287d5c9723c3d5ae39e2179c496

Observation fedad265-1970-492f-be16-bdbca22c803d · outbound

This paper cites SaulLM-7B: A pioneering Large Language Model for Law.

Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Report SaulLM-7B: A pioneering Large Language Model for Law

Reference 14

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no resolver link, observed 2026-08-06T05:57:29.188856Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T05:57:29.188856Z digest=sha256:bc69bd3e2dc09b89ae26e10e2b860a1d8ef24a678278bc94db8a399aad82dedd

Observation ee83e362-733c-433e-ae85-0ef3c2ffa803 · outbound

This paper cites AI for DevSecOps, DeepHat.

Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Report AI for DevSecOps, DeepHat

Reference 15

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no resolver link, observed 2026-08-06T05:57:29.194152Z

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source=pdf_text observed=2026-08-06T05:57:29.194152Z digest=sha256:daa33007d1b825aa2e40ab7abc214ad73736ffb2f6882e6a45483be0c931a124

Observation 70783106-1df8-41a5-9109-25201336718b · outbound

This paper cites Attacker: to- wards enhancing cyber-attack attribution with a named entity recognition dataset.

Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Report Attacker: to- wards enhancing cyber-attack attribution with a named entity recognition dataset

Reference 16

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no resolver link, observed 2026-08-06T05:57:29.199443Z

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source=pdf_text observed=2026-08-06T05:57:29.199443Z digest=sha256:e9a4e1901b61b4e1458e12d08c965a697c53095cb2eebfc57a3867d50a83d800

Observation 5bf95539-4270-48b2-a4de-096767f5e61c · outbound

This paper cites Investigating data contamination in modern benchmarks for large language models.

Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Report Investigating data contamination in modern benchmarks for large language models

Reference 17

Resolution
verified exact
doi, observed 2026-08-06T05:57:29.676373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T05:57:29.203880Z digest=sha256:3f5024a8fc13a7d49b687760814455d44bdf78e7d8062cad2a6fcdc840da74b7

Observation 7d65bb07-26ce-4303-95c2-c1163975e96b · outbound

This paper cites Length-Controlled AlpacaEval: A Simple Way to Debias Automatic Evaluators.

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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no resolver link, observed 2026-08-06T05:57:29.210496Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T05:57:29.210496Z digest=sha256:f68bef7f2f9d84690ede839952af5bf4e80753d6c4435989ea57379550e9a8b7

Observation 70d32098-702f-495e-9f47-24ab2b459924 · outbound

This paper cites General Data Protection Regulation (GDPR).

Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Report General Data Protection Regulation (GDPR)

Reference 19

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no resolver link, observed 2026-08-06T05:57:29.215862Z

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source=pdf_text observed=2026-08-06T05:57:29.215862Z digest=sha256:de2ac22cc2d97da58a535c693a45ac0073012282808402d032345429d7fca18c

Observation 1a031aad-b042-4a44-8e06-a23729619ee5 · outbound

This paper cites Does data contamination detection work (well) for LLMs? a survey and evaluation on detection assumptions.

Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Report Does data contamination detection work (well) for LLMs? a survey and evaluation on detection assumptions

Reference 20

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no resolver link, observed 2026-08-06T05:57:29.220860Z

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source=pdf_text observed=2026-08-06T05:57:29.220860Z digest=sha256:fa6db00a880d11a6f38256f9ed14d5e5dea67b16ad409b797c2e7efc37f59ce2

Observation 1d155af6-aae1-48b6-9396-f3180a5213da · outbound

This paper cites Does Fine-Tuning LLMs on New Knowledge Encourage Hallucinations?.

Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Report Does Fine-Tuning LLMs on New Knowledge Encourage Hallucinations?

Reference 21

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no resolver link, observed 2026-08-06T05:57:29.226026Z

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source=pdf_text observed=2026-08-06T05:57:29.226026Z digest=sha256:9508a77f1bdca80c098d4a2b4e92d4cd735d3842afd06c2d10cf62d27c7123f1

Observation 59a0e594-7a2a-497d-99ff-17af86ec0ec7 · outbound

This paper cites The Llama 3 Herd of Models.

Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Report The Llama 3 Herd of Models

Reference 22

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no resolver link, observed 2026-08-06T05:57:29.231054Z

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source=pdf_text observed=2026-08-06T05:57:29.231054Z digest=sha256:f509439f492436c22b57b5600645d1600c54c05faf66cf65b3cd2011140469e3

Observation 552e56c2-64e9-408b-b04b-301bcfcf2e40 · outbound

This paper cites OLMES: A Standard for Language Model Evaluations.

Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Report OLMES: A Standard for Language Model Evaluations

Reference 23

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no resolver link, observed 2026-08-06T05:57:29.236081Z

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source=pdf_text observed=2026-08-06T05:57:29.236081Z digest=sha256:8b900a90158799055c1fbfd1ff247d858c2df425e67a5e46a84a81d5c7f5e233

Observation 5ffd6a8e-0069-445d-bcea-5500b4e0fd03 · outbound

This paper cites Legalbench: A collaboratively built benchmark for measuring legal reasoning in large language models.

Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Report Legalbench: A collaboratively built benchmark for measuring legal reasoning in large language models

Reference 24

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no resolver link, observed 2026-08-06T05:57:29.241038Z

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source=pdf_text observed=2026-08-06T05:57:29.241038Z digest=sha256:7221b404660c53dd071007ba78677e99d20630d928e720c461cad3bd2e7f5703

Observation b0559ffc-24f6-4420-84cf-08a24efc9289 · outbound

This paper cites Generative active adaptation for drifting and imbalanced network intrusion detection.

Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Report Generative active adaptation for drifting and imbalanced network intrusion detection

Reference 25

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no resolver link, observed 2026-08-06T05:57:29.245905Z

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source=pdf_text observed=2026-08-06T05:57:29.245905Z digest=sha256:4b0b00dc833d64999886fb5f7c40b7e1c76425bf9456bdcc615d090c4e59008c

Observation ccc0e538-2fb6-4a43-8eea-31fa208f5f09 · outbound

This paper cites Measuring massive multitask language understanding.

Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Report Measuring massive multitask language understanding

Reference 26

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no resolver link, observed 2026-08-06T05:57:29.250728Z

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source=pdf_text observed=2026-08-06T05:57:29.250728Z digest=sha256:d0c29cb7df09ac753862e5d2278c96bd67cedc96f578e32d92944ecd70f798e0

Observation a8c61335-10cf-4bbd-9d02-0dbbbd2bc1d2 · outbound

This paper cites Measuring Mathematical Problem Solving With the MATH Dataset.

Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Report Measuring Mathematical Problem Solving With the MATH Dataset

Reference 27

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unresolved
no resolver link, observed 2026-08-06T05:57:29.255750Z

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source=pdf_text observed=2026-08-06T05:57:29.255750Z digest=sha256:a7c0931ebc37756f21c66c08d47cfeead30d5c14128184a7d1a5d7d26c0744bb

Observation 37ce261a-2b6b-47b6-838d-3850cf67bf48 · outbound

This paper cites Universal Language Model Fine-tuning for Text Classification.

Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Report Universal Language Model Fine-tuning for Text Classification

Reference 28

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no resolver link, observed 2026-08-06T05:57:29.261529Z

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source=pdf_text observed=2026-08-06T05:57:29.261529Z digest=sha256:57a52594203c9bbc82241cfd0d3ce0a3ed411ed8cf6e3b0f98120dbaecba9d99

Observation 37cd68c2-f425-4b13-9467-5d994f3f5c2e · outbound

This paper cites GPT-4o System Card.

Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Report GPT-4o System Card

Reference 29

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unresolved
no resolver link, observed 2026-08-06T05:57:29.266752Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:57:29.266752Z digest=sha256:020d7a9c5d90d36fe86b0782b629c01289bdf00a37b1a4f92c3cb4326350500a

Observation 0f1e94ae-9858-419d-8101-cc7efc2b17cb · outbound

This paper cites Llama Guard: LLM-based Input-Output Safeguard for Human-AI Conversations.

Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Report Llama Guard: LLM-based Input-Output Safeguard for Human-AI Conversations

Reference 30

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no resolver link, observed 2026-08-06T05:57:29.271933Z

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source=pdf_text observed=2026-08-06T05:57:29.271933Z digest=sha256:2b92559799972f35b26ddf3618672a6b0a7e84dacbccbb604fd69e08ce40a72b

Observation e0981503-d933-44b0-93d0-c4af45570e98 · outbound

This paper cites Smith, Iz Beltagy, and Hannaneh Hajishirzi.

Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Report Smith, Iz Beltagy, and Hannaneh Hajishirzi

Reference 31

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verified fuzzy
raw_fallback, observed 2026-08-06T05:57:31.485856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T05:57:29.277433Z digest=sha256:e8304c15695408b8c6473bc354c5b794c73da866435472fecaf2774f7a8c9d87

Observation 04195146-6dd6-489b-a72b-65bb0b77d16e · outbound

This paper cites Mistral 7B.

Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Report Mistral 7B

Reference 32

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unresolved
no resolver link, observed 2026-08-06T05:57:29.282596Z

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source=pdf_text observed=2026-08-06T05:57:29.282596Z digest=sha256:f5bc21a7fcb5e8c34fa53d1cc42b0663a5d5a19de8fb58124cb93c24a7970b9b

Observation 9be3f8d5-f0cd-44cc-b0d7-fee8b646ddd3 · outbound

This paper cites SecBench: A Comprehensive Multi-Dimensional Benchmarking Dataset for LLMs in Cybersecurity.

Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Report SecBench: A Comprehensive Multi-Dimensional Benchmarking Dataset for LLMs in Cybersecurity

Reference 33

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no resolver link, observed 2026-08-06T05:57:29.288634Z

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source=pdf_text observed=2026-08-06T05:57:29.288634Z digest=sha256:bc899acf18548a97d66e8b20f969b1bc8bca7a1ac8955e1ff4fafb12d93d9a2d

Observation a121a20a-a356-4a00-90c6-dc99091c24da · outbound

This paper cites Guide to cyber threat information sharing.

Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Report Guide to cyber threat information sharing

Reference 34

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verified fuzzy
raw_fallback, observed 2026-08-06T05:57:31.467229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T05:57:29.294273Z digest=sha256:787957716655268adde362aa3b8b0b4f16e135756eb412e517e3a89a648d81a7

Observation c31a8e24-2375-4c8f-90ff-a3cba659464c · outbound

This paper cites Bag of Tricks for Efficient Text Classification.

Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Report Bag of Tricks for Efficient Text Classification

Reference 35

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no resolver link, observed 2026-08-06T05:57:29.300269Z

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source=pdf_text observed=2026-08-06T05:57:29.300269Z digest=sha256:038f3af8ce55f9f44fe71afdc5d145aaa3ef38acb982f26d56989ce9e2db368d

Observation 98a875d2-c69a-4696-a036-f0e13ab8ab2b · outbound

This paper cites Llama-3.1-FoundationAI-SecurityLLM-Base-8B Technical Report.

Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Report Llama-3.1-FoundationAI-SecurityLLM-Base-8B Technical Report

Reference 36

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unresolved
no resolver link, observed 2026-08-06T05:57:29.305859Z

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source=pdf_text observed=2026-08-06T05:57:29.305859Z digest=sha256:aa2da3c9ea95fdd008f4b3aec8bca3cb9ed9dba9d7cea75381bcb33748d8a09e

Observation 55fb5cca-272a-4f08-bc62-eb9e82bffc21 · outbound

This paper cites Tulu 3: Pushing Frontiers in Open Language Model Post-Training.

Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Report Tulu 3: Pushing Frontiers in Open Language Model Post-Training

Reference 37

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source=pdf_text observed=2026-08-06T05:57:29.310777Z digest=sha256:b391aae66dc2cc765087702c12ee895cdd4c5a50d74e709d552051843d43383e

Observation 1c47ac1a-3d19-4119-9c0b-48578003e32f · outbound

This paper cites Platypus: Quick, Cheap, and Powerful Refinement of LLMs.

Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Report Platypus: Quick, Cheap, and Powerful Refinement of LLMs

Reference 38

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source=pdf_text observed=2026-08-06T05:57:29.316420Z digest=sha256:e5e50d0a8e49ecf384be86099df3bc22de80b9d66bc78809fc7e48b25db93595

Observation cb074d78-bb09-4117-b417-4b62ca2337f2 · outbound

This paper cites Seceval: A comprehensive benchmark for evaluating cybersecurity knowledge of foundation models.

Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Report Seceval: A comprehensive benchmark for evaluating cybersecurity knowledge of foundation models

Reference 39

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source=pdf_text observed=2026-08-06T05:57:29.321512Z digest=sha256:8d2c72db29802b6c4a27c774c065383dfaeb0148065a6077a99ee1f120f2ba51

Observation 5faccb47-60d8-4e48-b6ec-f52ca20d486f · outbound

This paper cites Openorca: An open dataset of gpt augmented flan reasoning traces.

Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Report Openorca: An open dataset of gpt augmented flan reasoning traces

Reference 40

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raw_fallback, observed 2026-08-06T05:57:31.436155Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T05:57:29.326709Z digest=sha256:bddcee7e95d4061ea539ce3ed4ba1653349b306d9c34784490b033cf368fd8e9

Observation 5913bd84-b7ff-46dd-aac6-ee4ba7a18f80 · outbound

This paper cites SecQA: A Concise Question-Answering Dataset for Evaluating Large Language Models in Computer Security.

Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Report SecQA: A Concise Question-Answering Dataset for Evaluating Large Language Models in Computer Security

Reference 41

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source=pdf_text observed=2026-08-06T05:57:29.331417Z digest=sha256:9dc10ac581a59119182d8dd6cc6fa3fdbda380de458f9fdde1a4c9097b4c15cb

Observation 16855d17-5381-4e59-bb38-698c151d5baf · outbound

This paper cites HarmBench: A Standardized Evaluation Framework for Automated Red Teaming and Robust Refusal.

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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source=pdf_text observed=2026-08-06T05:57:29.337175Z digest=sha256:8de929a4c71676b3f57fd13d38be9f6c20f41aa33cb9102d1229d24688e4a75b

Observation 270db836-f084-450a-8e8a-74c04066bf31 · outbound

This paper cites an unresolved cited work.

Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Report Unresolved cited work

Reference 43

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T05:57:29.342830Z digest=sha256:2bdb0fc86a7b01f87aa89f42f454b0f200775899e90a5b55d8f44893cbb3ed49

Observation e9b29bff-9d8d-4639-aff4-63b87c4e23ea · outbound

This paper cites Reducing conversational agents’ overconfidence through linguistic calibration.

Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Report Reducing conversational agents’ overconfidence through linguistic calibration

Reference 44

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raw_fallback, observed 2026-08-06T05:57:31.398334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T05:57:29.347754Z digest=sha256:9c6962c9996100da3c9ae15d68000e64c10108980075575e676a517121b7ae72

Observation 5ca4ffda-1001-45bf-8a5c-b7dd191cd13f · outbound

This paper cites Large Language Models in Cybersecurity: State-of-the-Art.

Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Report Large Language Models in Cybersecurity: State-of-the-Art

Reference 45

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source=pdf_text observed=2026-08-06T05:57:29.352613Z digest=sha256:6555a797cf8dd7b27d99bd4ec2d79026511aeb86aa0f64fe69eb80af909c40bc

Observation b8d94cb2-eb7c-40fd-aaa1-a44456d7c991 · outbound

This paper cites Learning word representation for the cyber security vulnerability domain.

Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Report Learning word representation for the cyber security vulnerability domain

Reference 46

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source=pdf_text observed=2026-08-06T05:57:29.357490Z digest=sha256:965975146f96e5fe6ce1cc51dcc85f7742b19a31dc36d3d5e4ef7af4190dde8e

Observation 1da1cdb3-e897-4f61-86aa-4e0e0cbffbef · outbound

This paper cites Cross-domain language modeling: An empirical investigation.

Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Report Cross-domain language modeling: An empirical investigation

Reference 47

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raw_fallback, observed 2026-08-06T05:57:31.379297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T05:57:29.362366Z digest=sha256:2b454804725453d147e5353ad0e164deb3329236c485225bd8cccf5d79fd2f0b

Observation 1d6b766b-b6c1-42e5-9e98-48e0d1d618f7 · outbound

This paper cites 2 OLMo 2 Furious.

Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Report 2 OLMo 2 Furious

Reference 48

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source=pdf_text observed=2026-08-06T05:57:29.368001Z digest=sha256:c5ca5ce0b46476fd2be00d259e439d13516215777dd104027699bd413e57a190

Observation 628ca013-c23b-4f97-b3f9-a64a0c77d18c · outbound

This paper cites ChatGPT [large language model].

Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Report ChatGPT [large language model]

Reference 49

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raw_fallback, observed 2026-08-06T05:57:31.361073Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T05:57:29.373023Z digest=sha256:6dccddef95da8a55308de8d2a87bf118ce84b674108889914464e83eca4fdaea

Observation c7899bb0-f20b-450d-99a1-29543fca5c9e · outbound

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

Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Report Training language models to follow instructions with human feedback

Reference 50

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source=pdf_text observed=2026-08-06T05:57:29.378378Z digest=sha256:1d537cb6a1ddbcc1e218fcb4e9bb78e120f0ec42c832c7a15e35c720c3d869e5

Observation f3439904-14c2-48a7-8565-e4a5bba0cf62 · outbound

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

Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Report Training language models to follow instructions with human feedback

Reference 51

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source=pdf_text observed=2026-08-06T05:57:29.383809Z digest=sha256:68e9769060db851eded226ffb05863eb25e7bc14faa71838462efa5afb817c8c

Observation 69414543-696a-4a8f-af3e-e47bca5b3d40 · outbound

This paper cites Direct preference optimization: Your language model is secretly a reward model.

Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Report Direct preference optimization: Your language model is secretly a reward model

Reference 52

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source=pdf_text observed=2026-08-06T05:57:29.388645Z digest=sha256:3bd220d366405b1be9d276ba7c6df09f36ad0c5bec60a1cec31f86860a499021

Observation 5bf318ad-ccf6-45e5-951d-b03a7fc9c8fe · outbound

This paper cites Code Llama: Open Foundation Models for Code.

Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Report Code Llama: Open Foundation Models for Code

Reference 53

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source=pdf_text observed=2026-08-06T05:57:29.393475Z digest=sha256:02f074c9dc5cc133008766c07070e841543aade627adc4a9634aebd3c42b5da2

Observation 1ace1373-e7ca-47a3-b740-b3bde90ffb06 · outbound

This paper cites PersonaGym: Evaluating Persona Agents and LLMs.

Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Report PersonaGym: Evaluating Persona Agents and LLMs

Reference 54

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source=pdf_text observed=2026-08-06T05:57:29.399558Z digest=sha256:de774fb030a54d6eefa90be0668f20588b2287d4e2a0d97d9284212c3eee9fb2

Observation cb3adb52-f766-4186-9fca-1eba64df3627 · outbound

This paper cites Proximal Policy Optimization Algorithms.

Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Report Proximal Policy Optimization Algorithms

Reference 55

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source=pdf_text observed=2026-08-06T05:57:29.405188Z digest=sha256:1dd915af4fbac45b948324d0b93dcbab95944667d93eccc817bf99cf2b65429b

Observation 9d055963-d16d-46da-8812-ca78c1944b00 · outbound

This paper cites Lily-cybersecurity-7b-v0.2: A cybersecurity assistant.

Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Report Lily-cybersecurity-7b-v0.2: A cybersecurity assistant

Reference 56

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raw_fallback, observed 2026-08-06T05:57:31.321103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T05:57:29.410753Z digest=sha256:8e73e1dece15aa29a1fb2e8ed5f7401a818359c292c36a1f48dc7c1e849c9b29

Observation 7ade8d88-28d7-4fda-a9ce-64d85180d883 · outbound

This paper cites Toward expert-level medical question answering with large language models.

Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Report Toward expert-level medical question answering with large language models

Reference 57

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raw_fallback, observed 2026-08-06T05:57:31.282599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T05:57:29.422973Z digest=sha256:aabb8efe0b4c1b802308a5bae2b874fad09222528ee1e249f0d83884804453f8

Observation d5d576da-86e5-4ff7-837a-cdeb6439cc0d · outbound

This paper cites Beyond the imitation game: Quantifying and extrapolating the capabilities of language models.Transactions on machine learning research, 2023.

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

Reference 58

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source=pdf_text observed=2026-08-06T05:57:29.428455Z digest=sha256:9971fcd42ec22205182d33d62533da3b9f5708de8f3580442b720ec1b285e479

Observation 80e0fbaa-3664-4e0c-a22f-9c2d28597981 · outbound

This paper cites Strom, Andy Applebaum, Doug P.

Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Report Strom, Andy Applebaum, Doug P

Reference 59

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raw_fallback, observed 2026-08-06T05:57:31.245203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T05:57:29.433988Z digest=sha256:7e03d6bd9b9ff42801a323d9fb46eee4a1cf60b6383f8fee2080e11dd193dab6

Observation efee2fd9-4243-4229-a399-8736cd928a69 · outbound

This paper cites Bertscore is unfair: On social bias in language model-based metrics for text generation, 2022.

Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Report Bertscore is unfair: On social bias in language model-based metrics for text generation, 2022

Reference 60

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raw_fallback, observed 2026-08-06T05:57:31.228669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T05:57:29.438838Z digest=sha256:7f7ea0f4b5865496a4610bad2b1bbc739142cf252f40fac77ea70dcb17240b65

Observation 7dad229c-2e55-457a-840b-84c9f90a88d9 · outbound

This paper cites Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them.

Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Report Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them

Reference 61

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source=pdf_text observed=2026-08-06T05:57:29.443862Z digest=sha256:b2cacdc1bc50b1df73921e76728f1678183c6f59cd47b6eac597af527399a6e5

Observation caf99c50-dbcd-44e1-ab5b-ecd10c7cef1e · outbound

This paper cites Hashimoto.

Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Report Hashimoto

Reference 62

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raw_fallback, observed 2026-08-06T05:57:31.212702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T05:57:29.449607Z digest=sha256:f08bb8f7045a7158768a13c7dc909fa99373bd35914768293d34d934cd5ab879

Observation e6ec90fb-884d-4ce3-87ab-8170a09fb0d4 · outbound

This paper cites Gemma 3 Technical Report.

Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Report Gemma 3 Technical Report

Reference 63

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source=pdf_text observed=2026-08-06T05:57:29.454406Z digest=sha256:c83e5ab32478a5ada7508a7c575789fccc4cca8ce74ae995524d47ad17e09358

Observation 9cec94e4-f46e-4b68-a23a-d38e2be36629 · outbound

This paper cites Cve ® – common vulnerabilities and exposures program.

Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Report Cve ® – common vulnerabilities and exposures program

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:57:31.193694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T05:57:29.459666Z digest=sha256:013b186716d4f5e4780a15056653b45609cf95f65bb272b5ca1092a98a1097b4

Observation 659b32d4-f860-4940-ac50-59e70e333e8e · outbound

This paper cites Cybermetric: A benchmark dataset based on retrieval-augmented generation for evaluating llms in cybersecurity knowledge.

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 65

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source=pdf_text observed=2026-08-06T05:57:29.464792Z digest=sha256:73a04b8457496aef617ca133ac2616e9b33f77008f4bea39b6556d6c1ed480c0

Observation 35a3de17-10cd-4cef-8619-7466bc060375 · outbound

This paper cites Cybermetric: a benchmark dataset based on retrieval-augmented generation for evaluating llms in cybersecurity knowledge.

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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verified fuzzy
raw_fallback, observed 2026-08-06T05:57:31.172917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T05:57:29.469874Z digest=sha256:ed71e719777a5ba62e130571839c437026407bfaa1b98bf5361490677d1ac067

Observation 1d2ecf6f-0e40-44ce-90fe-f70a96f66999 · outbound

This paper cites A comprehensive survey of hallucination mitigation techniques in large language models.

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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raw_fallback, observed 2026-08-06T05:57:31.155540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T05:57:29.474795Z digest=sha256:efafdd51d3e2ac9f74d198d121c5f7466476265dc73a2663ee43289b01f258dd

Observation 8bb53247-6f91-4dbe-add6-5244816e25c5 · outbound

This paper cites Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks.

Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Report Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks

Reference 68

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no resolver link, observed 2026-08-06T05:57:29.479428Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T05:57:29.479428Z digest=sha256:ccf7a0ee267155859edd9da966bb54e6b1ca1482a16abff003b98e84b1ec2e05

Observation f3a8a792-db35-4a37-b4b5-5e93ca26b86f · outbound

This paper cites Smarter, better, faster, longer: A modern bidirectional encoder for fast, memory efficient, and long context finetuning and inference.

Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Report Smarter, better, faster, longer: A modern bidirectional encoder for fast, memory efficient, and long context finetuning and inference

Reference 69

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verified fuzzy
raw_fallback, observed 2026-08-06T05:57:31.138382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T05:57:29.484724Z digest=sha256:82211a7db41d4f2c38483116b1f938e2854ab911266bfb3c8fcaff07f9c73207

Observation 7c74a78b-960b-4329-8904-9685cf7830eb · outbound

This paper cites WizardLM: Empowering large pre-trained language models to follow complex instructions.

Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Report WizardLM: Empowering large pre-trained language models to follow complex instructions

Reference 70

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:57:29.489808Z digest=sha256:d4d1b4b9779430ba8303e0bdea27b3ecb013fe0a11c561ee1909d129c5eab713

Observation 0984bda8-970d-414e-a28d-80c0a3f34bdb · outbound

This paper cites Benchmark Data Contamination of Large Language Models: A Survey.

Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Report Benchmark Data Contamination of Large Language Models: A Survey

Reference 71

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unresolved
no resolver link, observed 2026-08-06T05:57:29.494966Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:57:29.494966Z digest=sha256:da9f494e7058ae61f7208382537245731815928bada751acc42703fdff806cd2

Observation ae619409-9dbe-4511-ad77-b8af9e50b500 · outbound

This paper cites Large language models for cyber security: A systematic literature review.

Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Report Large language models for cyber security: A systematic literature review

Reference 72

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no resolver link, observed 2026-08-06T05:57:29.500181Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:57:29.500181Z digest=sha256:9db61c7ad88c24faa036b41b1245c7148cf31caaedb3845898096b488bc2fa1e

Observation 2f8fb4d0-95a0-483b-af0b-48214e9e5759 · outbound

This paper cites Qwen3 Technical Report.

Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Report Qwen3 Technical Report

Reference 73

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no resolver link, observed 2026-08-06T05:57:29.505886Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:57:29.505886Z digest=sha256:82c173bd9809b326b54fbcf0d1fc30739f64a52bad66fb53631e267216807e9b

Observation 8fca8ffb-2cd4-4adf-b168-b5219a677eb7 · outbound

This paper cites Rethinking Benchmark and Contamination for Language Models with Rephrased Samples.

Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Report Rethinking Benchmark and Contamination for Language Models with Rephrased Samples

Reference 74

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source=pdf_text observed=2026-08-06T05:57:29.511258Z digest=sha256:2f10876328652e00693420924054b02aa94f58d463bec18b4bf907cb89b5cb00

Observation fd0c7f05-5ae4-4de5-a7f6-1ca1d35b65bf · outbound

This paper cites Primus: A pioneering collection of open-source datasets for cybersecurity llm training.

Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Report Primus: A pioneering collection of open-source datasets for cybersecurity llm training

Reference 75

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source=pdf_text observed=2026-08-06T05:57:29.516581Z digest=sha256:6bf81918687257d32dd24c0b760a09be331a58c67d63cd88b771090346ed021f

Observation 063639a0-1e72-4497-a8a7-3174e901d29a · outbound

This paper cites Cybench: A Framework for Evaluating Cybersecurity Capabilities and Risks of Language Models.

Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Report Cybench: A Framework for Evaluating Cybersecurity Capabilities and Risks of Language Models

Reference 76

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source=pdf_text observed=2026-08-06T05:57:29.522003Z digest=sha256:b69d19ff13184a812addc627b1178b3de64ff64e277f244efcf2edbd49985102

Observation f46b9864-c8e7-4e90-be99-522aa90ba0de · outbound

This paper cites When LLMs Meet Cybersecurity: A Systematic Literature Review.

Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Report When LLMs Meet Cybersecurity: A Systematic Literature Review

Reference 77

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source=pdf_text observed=2026-08-06T05:57:29.527208Z digest=sha256:64a7ebdc9938865ec2e3284b1f8cdf9a18ab4bc026ed6c9936e5922f0cc9b634

Observation 20ccf4f1-bef3-43c3-826c-365782f12126 · outbound

This paper cites When llms meet cybersecurity: A systematic literature review.Cybersecurity, 8(1):55, 2025.

Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Report When llms meet cybersecurity: A systematic literature review.Cybersecurity, 8(1):55, 2025

Reference 78

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raw_fallback, observed 2026-08-06T05:57:31.121368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T05:57:29.532271Z digest=sha256:a207abfcd1eda3b464f9051c7dd8381071c48d99d6c4f1c11bc7a0220a4de32a

Observation c4e7580b-85ef-4b4e-9335-0d5da183fe7f · outbound

This paper cites Lima: Less is more for alignment.

Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Report Lima: Less is more for alignment

Reference 79

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raw_fallback, observed 2026-08-06T05:57:31.103796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T05:57:29.537198Z digest=sha256:52578c4b4389fdb1edcfcea94e1ddb1042ce904ea640a03cc685008109f1c468

Observation c0f1eef3-32fe-4796-9dc2-04fbe5f1c782 · outbound

This paper cites Instruction-Following Evaluation for Large Language Models.

Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Report Instruction-Following Evaluation for Large Language Models

Reference 80

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no resolver link, observed 2026-08-06T05:57:29.541936Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:57:29.541936Z digest=sha256:57047756666ca4a9dc825db1ed7daf7ea2511ec9d2d8ea81361c3042af11d653

Observation eb227066-776e-4871-9d25-4ebd0fd78fc4 · outbound

This paper cites output as a JSON object.

Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Report output as a JSON object

Reference 81

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no resolver link, observed 2026-08-06T05:57:29.547334Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:57:29.547334Z digest=sha256:0522ecbc857806ceb89452dd0a51e6c928641a79c5afe772924085fda7f43ee1

Observation aeb1f0b4-c72b-4ce7-b97b-55e14c581e7d · outbound

This paper cites an unresolved cited work.

Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Report Unresolved cited work

Reference 83

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unresolved
raw_fallback, observed 2026-08-06T05:57:31.084805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T05:57:29.552875Z digest=sha256:59d5194bfbf06a5d9549e3fac2f0f33f22f3eb292a1884d226d034b2fc5f8c50

Observation 19ad239d-6182-4bfa-be94-638d91ff31b8 · outbound

This paper cites an unresolved cited work.

Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Report Unresolved cited work

Reference 84

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unresolved
raw_fallback, observed 2026-08-06T05:57:31.067370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T05:57:29.558321Z digest=sha256:5640ba996e2dd9bae489f31cae3a85450c107d0e25471ba1cc1423e3e61c3292

Observation 9c3e3fdb-cdcd-474c-943c-88f0fb267594 · outbound

This paper cites an unresolved cited work.

Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Report Unresolved cited work

Reference 85

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raw_fallback, observed 2026-08-06T05:57:31.049565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T05:57:29.563095Z digest=sha256:95f3375d6b765328fa861803445c58a2946e01122f08c4f90cd4133a986b9328

Observation 3878fe27-6810-4ed0-a368-eb7a1bb19072 · outbound

This paper cites an unresolved cited work.

Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Report Unresolved cited work

Reference 86

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unresolved
raw_fallback, observed 2026-08-06T05:57:31.031971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T05:57:29.567900Z digest=sha256:65cb81946e6492c21781ddcfa435ea3ad0c2d904aa6b06a4c6897aadbed27111

Observation 9ce49ac7-9387-4f15-9047-7aad55aa5edc · outbound

This paper cites an unresolved cited work.

Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Report Unresolved cited work

Reference 87

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raw_fallback, observed 2026-08-06T05:57:31.015257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T05:57:29.572958Z digest=sha256:a00bb281d8a42a7644117adbe1e1b788d7628fc4b0ea666e23cebccc432a398e

Observation 09291b93-d015-4b1f-93af-f8a2ac589498 · outbound

This paper cites an unresolved cited work.

Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Report Unresolved cited work

Reference 88

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raw_fallback, observed 2026-08-06T05:57:30.997184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T05:57:29.578046Z digest=sha256:2263d6c7befdff062ef74acdfcca3575e53c825bf980d71c2addbb480e1be4eb

Observation 1e5eacd0-4305-406a-be75-f5edbf049ef4 · outbound

This paper cites an unresolved cited work.

Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Report Unresolved cited work

Reference 89

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raw_fallback, observed 2026-08-06T05:57:30.977059Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T05:57:29.582824Z digest=sha256:710f9c1a4d2f91e0205a0fdafb1b333178323b80151896f8d1a9f768a3d98a83

Observation c1419d84-2733-4cff-966e-1f796e7082dd · outbound

This paper cites an unresolved cited work.

Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Report Unresolved cited work

Reference 90

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raw_fallback, observed 2026-08-06T05:57:30.957066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T05:57:29.588028Z digest=sha256:5984d6e93ea68130ef15585a24373b586304b5e1a65f0584f377f87fa58660fd

Observation 94140887-b28f-483b-ab13-a18ed8c5a1be · outbound

This paper cites an unresolved cited work.

Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Report Unresolved cited work

Reference 91

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raw_fallback, observed 2026-08-06T05:57:30.939220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T05:57:29.592953Z digest=sha256:1b7c24eb53f212f9b7d68e35868aefc9bb492af99ede04725d033dff17333f25

Observation ca2cbe9e-8c36-4fb8-9d39-8189ba580007 · outbound

This paper cites sandbox”, “policy.

Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Report sandbox”, “policy

Reference 92

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verified fuzzy
raw_fallback, observed 2026-08-06T05:57:30.922859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T05:57:29.598148Z digest=sha256:a1d0bd674b1f22c38844de3babe0d9d5cc956e4984c96d5a9d86b1601cbfa06e

Observation 52735b92-f072-4940-891b-c3db88dbdbc8 · outbound

This paper cites content":.

Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Report content":

Reference 93

Resolution
malformed identifier
raw_fallback, observed 2026-08-06T05:57:30.906263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T05:57:29.603954Z digest=sha256:c3e0167e2c71bbc1ebe03b4b791770f0d5cadbf7be81ac9e09e8659164f87bf0

Observation 06f11264-c95d-4c22-8387-082c4bb859ad · outbound

This paper cites Respond to both names and maintain the identity at all times.

Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Report Respond to both names and maintain the identity at all times

Reference 94

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raw_fallback, observed 2026-08-06T05:57:30.888210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T05:57:29.610113Z digest=sha256:ff51c603431c439e5d86ee4407bffba24e62200cfe413d8e2c285dff26e0e4fe

Observation e0a76c7f-8900-41a9-8c77-8c0602acf49c · outbound

This paper cites Fine-tuned on Mistral-7B-Instruct-v0.2 with 22,000 hand-crafted cybersecurity/hacking pairs.

Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Report Fine-tuned on Mistral-7B-Instruct-v0.2 with 22,000 hand-crafted cybersecurity/hacking pairs

Reference 2025

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raw_fallback, observed 2026-08-06T05:57:31.302808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T05:57:29.416089Z digest=sha256:6694bd0f55140af90b5d6b0d818fb90b3437dd62ccce6d44029525243a4db625

Pith citing papers

Observation 5e30a945-e436-4bce-a319-c3ebab8a2648 · inbound

Uncovering Vulnerabilities of LLM-Assisted Cyber Threat Intelligence cites this paper.

Uncovering Vulnerabilities of LLM-Assisted Cyber Threat Intelligence Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Report

Reference 2019

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no resolver link, observed 2026-08-04T14:42:50.833204Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T14:42:50.833204Z digest=sha256:2128945f7bbbb2b738b8254a35c2e437c2b8ef062d49e370b62274e122e2f4ea

Observation e53929c0-5a99-4d47-8bae-de32d42e5d2d · inbound

Toward Cybersecurity-Expert Small Language Models cites this paper.

Toward Cybersecurity-Expert Small Language Models Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Report

Reference 20

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no resolver link, observed 2026-08-04T09:40:27.631283Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T09:40:27.631283Z digest=sha256:915742d088dcf9c380df541e9db6950be904134e014835febe86b0f054d8d2b9

Observation 068f988c-52e5-4efc-9fdc-96c9f8aefab7 · inbound

Test-Time Detoxification without Training or Learning Anything cites this paper.

Test-Time Detoxification without Training or Learning Anything Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Report

Reference 48

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no resolver link, observed 2026-08-03T10:40:47.652225Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T10:40:47.652225Z digest=sha256:b0d9164bf086f22f48a41ff5b0f3c853ea92e58485a79c9a887970dcf7b55a93

Observation 0ee53f36-3144-4772-b3a8-9ad385c8164e · inbound

Trust Me, Import This: Dependency Steering Attacks via Malicious Agent Skills cites this paper.

Trust Me, Import This: Dependency Steering Attacks via Malicious Agent Skills Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Report

Reference 36

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verified exact
arxiv_id, observed 2026-05-12T06:56:27.301526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-12T03:49:49.484361Z digest=sha256:207a46712ba8600845757f86b017a118d961d6cab0041b318ad99ce183bc2d71

Observation 19863e6b-184a-47d1-8acd-aed33766e1de · 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-8B-Instruct Technical Report

Reference 22

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verified exact
arxiv_id, observed 2026-05-12T06:56:25.764269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-12T03:50:46.260450Z digest=sha256:0d7f394f59e4421239c52ae86807e99a1a123a3f202eca6a84cfdd69197ecacf

Observation 955717c9-4b13-4954-a463-a81692fb14f6 · inbound

FAPO: Fully Automated Prompt Optimization of Multi-Step LLM Pipelines cites this paper.

FAPO: Fully Automated Prompt Optimization of Multi-Step LLM Pipelines Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Report

Reference 31

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verified exact
arxiv_id, observed 2026-06-26T21:09:57.826993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-26T19:50:46.691071Z digest=sha256:a9916b48b2622e53ec97d700e4f9b2c97d80b4fb1565eacc2bee6684c76a440d

Observation 8cd630d2-dc92-4cce-9fee-1a14509791a3 · inbound

LLM Evolution as an Industry-Scale Ecosystem: A Lifecycle Perspective on Continual Learning cites this paper.

LLM Evolution as an Industry-Scale Ecosystem: A Lifecycle Perspective on Continual Learning Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Report

Reference 112

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verified exact
arxiv_id, observed 2026-07-03T16:48:39.935601Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-27T05:02:18.347642Z digest=sha256:332f2d50facc9646e7134ed3cbb46315e3524ca4a13aba001df277090ab362f6

Observation 5d9d519b-1b2a-4cd6-9fb1-dea2c8eac49c · 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-8B-Instruct Technical Report

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-07-04T14:29:53.640362Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-26T03:46:22.192212Z digest=sha256:902be99393368270500c6e9dc316abf7f3a6473cd8d2a40489a9999e76003bb3

Observation 91d4f039-5ec3-425b-b5d4-009fe9521240 · inbound

TACTIC-KG: Toward Small Agent Teams for Cyber Threat Intelligence Knowledge Graph Construction cites this paper.

TACTIC-KG: Toward Small Agent Teams for Cyber Threat Intelligence Knowledge Graph Construction Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Report

Reference 34

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unresolved
no resolver link, observed 2026-07-11T10:18:01.537693Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T10:18:01.537693Z digest=sha256:02e215da5f46bef2ca98fa672686f73a8f8e090fe0301693bce5da45e3480ee1

Observation 9d56eae1-b37c-4843-9334-0c77cb4b9876 · inbound

Supervised Fine-Tuning vs. In-Context Learning: An Equilibrium Analysis of LLM Personalization under Congestion cites this paper.

Supervised Fine-Tuning vs. In-Context Learning: An Equilibrium Analysis of LLM Personalization under Congestion Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Report

Reference 105

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unresolved
no resolver link, observed 2026-08-02T02:24:43.663141Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T02:24:43.663141Z digest=sha256:5735e0714923831a33d01b1cfd20e3604fe5fc2a640594664d59dd8bba099856

Observation 3dd60dc4-fa6f-46e7-8c5b-cc25238ae705 · inbound

Antares: Foundation Models for Agentic Vulnerability Localization cites this paper.

Antares: Foundation Models for Agentic Vulnerability Localization Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Report

Reference 59

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unresolved
no resolver link, observed 2026-08-04T07:50:50.742631Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T07:50:50.742631Z digest=sha256:c2f55906cb478fd2aa0f494dade6a4424b137429f7070bf07b9b38337d55abf2