Paper Citation Record · LEDGER

Less Data, More Security: Advancing Cybersecurity LLMs Specialization via Resource-Efficient Domain-Adaptive Continuous Pre-training with Minimal Tokens

As of 8 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 1 inbound Pith citation observation for arXiv:2507.02964.

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

pith.paper-citation-record.v1
2507.02964 v2

Coverage vector

measured 52 of 52 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:36:10.135691Z

measured 53 of 53 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-29T12:07:49.656453Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T12:13:26.880569Z

Reference resolution

52 of 52 outbound references displayed

verified exact1
verified fuzzy16
unresolved25
parse uncertain0
malformed identifier10
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 84a32ea2-3d48-4b69-9464-789b82704b30 · outbound

This paper cites an unresolved cited work.

Less Data, More Security: Advancing Cybersecurity LLMs Specialization via Resource-Efficient Domain-Adaptive Continuous Pre-training with Minimal Tokens Unresolved cited work

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T21:36:06.266517Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bbf54206-7114-47db-b375-4b172f51fd50 · outbound

This paper cites Data Analysis in the Era of Generative AI.

Less Data, More Security: Advancing Cybersecurity LLMs Specialization via Resource-Efficient Domain-Adaptive Continuous Pre-training with Minimal Tokens Data Analysis in the Era of Generative AI

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T21:36:06.339173Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2746f1fe-a429-4cd0-b219-beb63242d6a7 · outbound

This paper cites Mitra, M.

Less Data, More Security: Advancing Cybersecurity LLMs Specialization via Resource-Efficient Domain-Adaptive Continuous Pre-training with Minimal Tokens Mitra, M

Reference 3

Resolution: malformed identifier; no resolver link, observed 2026-08-06T21:36:06.387820Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 98825b3e-0277-4f81-bfa7-4dd96bc109f5 · outbound

This paper cites Lewis, E.

Less Data, More Security: Advancing Cybersecurity LLMs Specialization via Resource-Efficient Domain-Adaptive Continuous Pre-training with Minimal Tokens Lewis, E

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:36:16.450516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 08e29431-2902-4230-a40b-83ffe1f04b6d · outbound

This paper cites Yu, T.-H.

Less Data, More Security: Advancing Cybersecurity LLMs Specialization via Resource-Efficient Domain-Adaptive Continuous Pre-training with Minimal Tokens Yu, T.-H

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T21:36:06.529941Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 334cf821-bb61-412a-b3c4-e7bb0aaa6881 · outbound

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

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 3ed52eb6-7118-4166-9707-da9be8f57454 · outbound

This paper cites Yun-tao, G.

Less Data, More Security: Advancing Cybersecurity LLMs Specialization via Resource-Efficient Domain-Adaptive Continuous Pre-training with Minimal Tokens Yun-tao, G

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:36:16.436027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 0618063d-55ef-423e-81cf-2dc9ee9ec333 · outbound

This paper cites Ramos, et al., Using tf-idf to determine word relevance in document queries, in: Proceedings of the first instruc- tional conference on machine learning, V ol.

Less Data, More Security: Advancing Cybersecurity LLMs Specialization via Resource-Efficient Domain-Adaptive Continuous Pre-training with Minimal Tokens Ramos, et al., Using tf-idf to determine word relevance in document queries, in: Proceedings of the first instruc- tional conference on machine learning, V ol

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 36ffe2e0-9a86-47c3-a1f8-071c294d41bd · outbound

This paper cites an unresolved cited work.

Less Data, More Security: Advancing Cybersecurity LLMs Specialization via Resource-Efficient Domain-Adaptive Continuous Pre-training with Minimal Tokens Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-08-06T21:36:16.405925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 5b2f5659-8017-4940-94f3-664a14896575 · outbound

This paper cites an unresolved cited work.

Less Data, More Security: Advancing Cybersecurity LLMs Specialization via Resource-Efficient Domain-Adaptive Continuous Pre-training with Minimal Tokens Unresolved cited work

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d57e4494-1c42-4f4a-98a8-32e7e350443f · outbound

This paper cites Hochreiter, J.

Less Data, More Security: Advancing Cybersecurity LLMs Specialization via Resource-Efficient Domain-Adaptive Continuous Pre-training with Minimal Tokens Hochreiter, J

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation bc7ee69b-1ede-4563-aaf3-1f46b01b961a · outbound

This paper cites Graves, A.

Less Data, More Security: Advancing Cybersecurity LLMs Specialization via Resource-Efficient Domain-Adaptive Continuous Pre-training with Minimal Tokens Graves, A

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation bca3c533-97bf-4e03-960c-c8ace717819e · outbound

This paper cites Sutskever, O.

Less Data, More Security: Advancing Cybersecurity LLMs Specialization via Resource-Efficient Domain-Adaptive Continuous Pre-training with Minimal Tokens Sutskever, O

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:36:15.605728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 438a3c19-65e7-4d29-89d5-6839df60b225 · outbound

This paper cites Vaswani, N.

Less Data, More Security: Advancing Cybersecurity LLMs Specialization via Resource-Efficient Domain-Adaptive Continuous Pre-training with Minimal Tokens Vaswani, N

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:36:15.385373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 3ac88fd0-59d5-4517-91ad-8e52f46945f5 · outbound

This paper cites an unresolved cited work.

Less Data, More Security: Advancing Cybersecurity LLMs Specialization via Resource-Efficient Domain-Adaptive Continuous Pre-training with Minimal Tokens Unresolved cited work

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 69d82cca-a136-4695-ba4d-1c5fb6ac9500 · outbound

This paper cites an unresolved cited work.

Less Data, More Security: Advancing Cybersecurity LLMs Specialization via Resource-Efficient Domain-Adaptive Continuous Pre-training with Minimal Tokens Unresolved cited work

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T21:36:07.428204Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation af48b906-2b47-484c-9be9-d3d4b9c5b846 · outbound

This paper cites Raffel, N.

Less Data, More Security: Advancing Cybersecurity LLMs Specialization via Resource-Efficient Domain-Adaptive Continuous Pre-training with Minimal Tokens Raffel, N

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f7783b74-7c14-4166-b1fa-53472250393a · outbound

This paper cites BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension.

Less Data, More Security: Advancing Cybersecurity LLMs Specialization via Resource-Efficient Domain-Adaptive Continuous Pre-training with Minimal Tokens BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension

Reference 19

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2d49c6c1-a32b-4b30-910d-c4e346b51df8 · outbound

This paper cites Devlin, M.-W.

Less Data, More Security: Advancing Cybersecurity LLMs Specialization via Resource-Efficient Domain-Adaptive Continuous Pre-training with Minimal Tokens Devlin, M.-W

Reference 20

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Source-reported events for the cited work

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Observation d3371b64-877d-4033-8acd-0ca27749edd7 · outbound

This paper cites RoBERTa: A Robustly Optimized BERT Pretraining Approach.

Less Data, More Security: Advancing Cybersecurity LLMs Specialization via Resource-Efficient Domain-Adaptive Continuous Pre-training with Minimal Tokens RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 21

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1bc911b6-76b5-46ee-9754-11fa476479dd · outbound

This paper cites an unresolved cited work.

Less Data, More Security: Advancing Cybersecurity LLMs Specialization via Resource-Efficient Domain-Adaptive Continuous Pre-training with Minimal Tokens Unresolved cited work

Reference 22

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Source-reported events for the cited work

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Observation 97d9ebfd-4e7d-45f2-b9b1-6e8d941b7d65 · outbound

This paper cites an unresolved cited work.

Less Data, More Security: Advancing Cybersecurity LLMs Specialization via Resource-Efficient Domain-Adaptive Continuous Pre-training with Minimal Tokens Unresolved cited work

Reference 23

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 9b982b3a-217f-4950-a93a-e96f3bc7b77e · outbound

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

Less Data, More Security: Advancing Cybersecurity LLMs Specialization via Resource-Efficient Domain-Adaptive Continuous Pre-training with Minimal Tokens LLaMA: Open and Efficient Foundation Language Models

Reference 24

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Source-reported events for the cited work

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Observation 0b0c9d02-ae4d-4437-a14a-56286022fa5e · outbound

This paper cites GPT-4 Technical Report.

Less Data, More Security: Advancing Cybersecurity LLMs Specialization via Resource-Efficient Domain-Adaptive Continuous Pre-training with Minimal Tokens GPT-4 Technical Report

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T21:36:08.017788Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f30284d5-45b6-4772-87b2-2e7355d2ebcf · outbound

This paper cites an unresolved cited work.

Less Data, More Security: Advancing Cybersecurity LLMs Specialization via Resource-Efficient Domain-Adaptive Continuous Pre-training with Minimal Tokens Unresolved cited work

Reference 26

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Source-reported events for the cited work

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This paper cites Houlsby, A.

Less Data, More Security: Advancing Cybersecurity LLMs Specialization via Resource-Efficient Domain-Adaptive Continuous Pre-training with Minimal Tokens Houlsby, A

Reference 27

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f0c789e8-9efd-4707-80dc-968c27883505 · outbound

This paper cites an unresolved cited work.

Less Data, More Security: Advancing Cybersecurity LLMs Specialization via Resource-Efficient Domain-Adaptive Continuous Pre-training with Minimal Tokens Unresolved cited work

Reference 28

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation edb7d1a6-221b-4f10-8c18-ee6f0b1d477a · outbound

This paper cites an unresolved cited work.

Less Data, More Security: Advancing Cybersecurity LLMs Specialization via Resource-Efficient Domain-Adaptive Continuous Pre-training with Minimal Tokens Unresolved cited work

Reference 29

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Source-reported events for the cited work

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Observation 6b2fe33a-1e99-44f1-bd74-c55517c9a465 · outbound

This paper cites an unresolved cited work.

Less Data, More Security: Advancing Cybersecurity LLMs Specialization via Resource-Efficient Domain-Adaptive Continuous Pre-training with Minimal Tokens Unresolved cited work

Reference 30

Resolution: unresolved; raw_fallback, observed 2026-08-06T21:36:14.543277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 3c45a8a8-fc4b-459c-bf2a-aa6fbbf52d27 · outbound

This paper cites Aghaei, X.

Less Data, More Security: Advancing Cybersecurity LLMs Specialization via Resource-Efficient Domain-Adaptive Continuous Pre-training with Minimal Tokens Aghaei, X

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:36:14.390394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 34672e9b-663e-43f4-a9d4-56b55c5d7567 · outbound

This paper cites Huang, Y.

Less Data, More Security: Advancing Cybersecurity LLMs Specialization via Resource-Efficient Domain-Adaptive Continuous Pre-training with Minimal Tokens Huang, Y

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:36:14.238878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 67217a18-f88e-4c93-8cde-9488baff17d8 · outbound

This paper cites Aghaei, S.

Less Data, More Security: Advancing Cybersecurity LLMs Specialization via Resource-Efficient Domain-Adaptive Continuous Pre-training with Minimal Tokens Aghaei, S

Reference 33

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Source-reported events for the cited work

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This paper cites Bayer, P.

Less Data, More Security: Advancing Cybersecurity LLMs Specialization via Resource-Efficient Domain-Adaptive Continuous Pre-training with Minimal Tokens Bayer, P

Reference 34

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c8b76ed6-084d-453a-b6ba-98835a027809 · outbound

This paper cites Ranade, A.

Less Data, More Security: Advancing Cybersecurity LLMs Specialization via Resource-Efficient Domain-Adaptive Continuous Pre-training with Minimal Tokens Ranade, A

Reference 35

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This paper cites an unresolved cited work.

Less Data, More Security: Advancing Cybersecurity LLMs Specialization via Resource-Efficient Domain-Adaptive Continuous Pre-training with Minimal Tokens Unresolved cited work

Reference 36

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a4e5f7b4-22d0-4a42-87cc-19510011b834 · outbound

This paper cites Finetuning Large Language Models for Vulnerability Detection.

Less Data, More Security: Advancing Cybersecurity LLMs Specialization via Resource-Efficient Domain-Adaptive Continuous Pre-training with Minimal Tokens Finetuning Large Language Models for Vulnerability Detection

Reference 37

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Observation c963e013-5a86-46a7-a081-dab92ca0127b · outbound

This paper cites an unresolved cited work.

Less Data, More Security: Advancing Cybersecurity LLMs Specialization via Resource-Efficient Domain-Adaptive Continuous Pre-training with Minimal Tokens Unresolved cited work

Reference 38

Resolution: unresolved; raw_fallback, observed 2026-08-06T21:36:13.755778Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 936da581-11f8-44f1-92ff-b074790b92e8 · outbound

This paper cites Fayyazi, R.

Less Data, More Security: Advancing Cybersecurity LLMs Specialization via Resource-Efficient Domain-Adaptive Continuous Pre-training with Minimal Tokens Fayyazi, R

Reference 39

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This paper cites an unresolved cited work.

Less Data, More Security: Advancing Cybersecurity LLMs Specialization via Resource-Efficient Domain-Adaptive Continuous Pre-training with Minimal Tokens Unresolved cited work

Reference 40

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Source-reported events for the cited work

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This paper cites Tihanyi, M.

Less Data, More Security: Advancing Cybersecurity LLMs Specialization via Resource-Efficient Domain-Adaptive Continuous Pre-training with Minimal Tokens Tihanyi, M

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:36:13.548802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation fb775c30-fa7e-4e38-82ba-f68aeaf243a8 · outbound

This paper cites URLhttps://aws.amazon.com/sagemaker/.

Less Data, More Security: Advancing Cybersecurity LLMs Specialization via Resource-Efficient Domain-Adaptive Continuous Pre-training with Minimal Tokens URLhttps://aws.amazon.com/sagemaker/

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:36:13.295171Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 813754c0-ae94-43f5-a42a-11b1d6641625 · outbound

This paper cites URLhttps://www.anthropic.com/news/claude-3- 7-sonnet.

Less Data, More Security: Advancing Cybersecurity LLMs Specialization via Resource-Efficient Domain-Adaptive Continuous Pre-training with Minimal Tokens URLhttps://www.anthropic.com/news/claude-3- 7-sonnet

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:36:13.092192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 7a616b24-d69f-4f13-9cac-24e63c5f67ea · outbound

This paper cites URLhttps://medium.com/@furkangozukara/what- is-the-dif...d75ac7ec30fa.

Less Data, More Security: Advancing Cybersecurity LLMs Specialization via Resource-Efficient Domain-Adaptive Continuous Pre-training with Minimal Tokens URLhttps://medium.com/@furkangozukara/what- is-the-dif...d75ac7ec30fa

Reference 44

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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This paper cites Loshchilov, F.

Less Data, More Security: Advancing Cybersecurity LLMs Specialization via Resource-Efficient Domain-Adaptive Continuous Pre-training with Minimal Tokens Loshchilov, F

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:36:12.522133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d47c18cf-7496-4ba7-bbd2-2a124d314e69 · outbound

This paper cites an unresolved cited work.

Less Data, More Security: Advancing Cybersecurity LLMs Specialization via Resource-Efficient Domain-Adaptive Continuous Pre-training with Minimal Tokens Unresolved cited work

Reference 46

Resolution: unresolved; raw_fallback, observed 2026-08-06T21:36:12.189652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 67e2ac83-b140-4257-b6e1-0f579e7143d9 · outbound

This paper cites an unresolved cited work.

Less Data, More Security: Advancing Cybersecurity LLMs Specialization via Resource-Efficient Domain-Adaptive Continuous Pre-training with Minimal Tokens Unresolved cited work

Reference 47

Resolution: unresolved; raw_fallback, observed 2026-08-06T21:36:11.841156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f91985f7-42f7-46bc-8733-cf712cdb0e05 · outbound

This paper cites URLhttps://xuanwuai.github.io/SecEval/.

Less Data, More Security: Advancing Cybersecurity LLMs Specialization via Resource-Efficient Domain-Adaptive Continuous Pre-training with Minimal Tokens URLhttps://xuanwuai.github.io/SecEval/

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:36:11.644841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c59426e5-9803-4fff-ac41-f8bde836081d · outbound

This paper cites an unresolved cited work.

Less Data, More Security: Advancing Cybersecurity LLMs Specialization via Resource-Efficient Domain-Adaptive Continuous Pre-training with Minimal Tokens Unresolved cited work

Reference 49

Resolution: unresolved; raw_fallback, observed 2026-08-06T21:36:11.524757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation ab4b095e-3e08-400b-a707-153488346a84 · outbound

This paper cites Carbon Emissions and Large Neural Network Training.

Less Data, More Security: Advancing Cybersecurity LLMs Specialization via Resource-Efficient Domain-Adaptive Continuous Pre-training with Minimal Tokens Carbon Emissions and Large Neural Network Training

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-06T21:36:09.911689Z

Source-reported events for the cited work

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Observation b43a2fae-d34b-43a6-a9d7-f4b042407876 · outbound

This paper cites an unresolved cited work.

Less Data, More Security: Advancing Cybersecurity LLMs Specialization via Resource-Efficient Domain-Adaptive Continuous Pre-training with Minimal Tokens Unresolved cited work

Reference 51

Resolution: unresolved; raw_fallback, observed 2026-08-06T21:36:11.371594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 0dc41831-107a-4374-b64a-d0b74ce79d52 · outbound

This paper cites an unresolved cited work.

Less Data, More Security: Advancing Cybersecurity LLMs Specialization via Resource-Efficient Domain-Adaptive Continuous Pre-training with Minimal Tokens Unresolved cited work

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-06T21:36:10.072973Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 134ea8e9-e8eb-49c8-a2b0-996a23acfa97 · outbound

This paper cites Zellers, A.

Less Data, More Security: Advancing Cybersecurity LLMs Specialization via Resource-Efficient Domain-Adaptive Continuous Pre-training with Minimal Tokens Zellers, A

Reference 53

Resolution: malformed identifier; raw_fallback, observed 2026-08-06T21:36:11.249500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Pith citing papers

Observation 1f3808fa-b381-4324-87fc-03c4df9ff32c · inbound

Cybersecurity AI (CAI) Dataset cites this paper.

Cybersecurity AI (CAI) Dataset Less Data, More Security: Advancing Cybersecurity LLMs Specialization via Resource-Efficient Domain-Adaptive Continuous Pre-training with Minimal Tokens

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-07-03T01:16:48.910061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.