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Paper Citation Record · LEDGER

Cybersecurity Detection Classification with Reasoning-enabled Language Models

As of 8 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 0 inbound Pith citation observations for arXiv:2607.28460.

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

pith.paper-citation-record.v1
2607.28460 v1

Coverage vector

measured 52 of 52 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-31T06:41:25.173868Z

measured 52 of 52 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

52 of 52 outbound references displayed

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  • unresolved52
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6ea2b2c7-1c08-4437-854f-c23004ae030b · outbound

This paper cites 2017 , eprint =.

Cybersecurity Detection Classification with Reasoning-enabled Language Models 2017 , eprint =

Reference 1

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source=arxiv_source observed=2026-07-31T06:41:19.824743Z digest=sha256:78e5694a2c86801509ef431f8a3eed85bd6ca366dfc8a08f0db19f1968b5db09

Observation 033b29ac-0c7c-4b17-a759-82c8c0d9b50b · outbound

This paper cites STaR: Bootstrapping Reasoning With Reasoning.

Cybersecurity Detection Classification with Reasoning-enabled Language Models STaR: Bootstrapping Reasoning With Reasoning

Reference 2

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source=arxiv_source observed=2026-07-31T06:41:19.974754Z digest=sha256:f7a72879085038a82d478268c78ffea8ce3b5205c096d593d41db3828ac6e40d

Observation 8c4fe9b5-8fbb-4310-939b-9a0c84fecd26 · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

Cybersecurity Detection Classification with Reasoning-enabled Language Models DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 3

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source=arxiv_source observed=2026-07-31T06:41:20.110356Z digest=sha256:644154c1365cad14c5975020533889641ff16a712087aa92a460c09b990d3040

Observation 6b9c5a64-25cd-4dd2-ba62-af0ea4b606ca · outbound

This paper cites and Axon, Louise and Martinovic, Ivan , booktitle =.

Cybersecurity Detection Classification with Reasoning-enabled Language Models and Axon, Louise and Martinovic, Ivan , booktitle =

Reference 4

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source=arxiv_source observed=2026-07-31T06:41:20.213067Z digest=sha256:ada5abfb6ab73d6db99107f78b7c087d8a8729ec10d8d8d9bdf8d20adbfdb235

Observation 3c9d8071-d685-45ce-8462-e51a0321024a · outbound

This paper cites an unresolved cited work.

Cybersecurity Detection Classification with Reasoning-enabled Language Models Unresolved cited work

Reference 5

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source=arxiv_source observed=2026-07-31T06:41:20.426209Z digest=sha256:28b0c7d17ad307d18662ec9ad5e9212795436a1496222630d086670d4e5e099f

Observation 32ad48dd-a34b-401a-8a3b-35d043df3124 · outbound

This paper cites Proceedings of the 13th USENIX Conference on System Administration (LISA '99) , pages =.

Cybersecurity Detection Classification with Reasoning-enabled Language Models Proceedings of the 13th USENIX Conference on System Administration (LISA '99) , pages =

Reference 6

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source=arxiv_source observed=2026-07-31T06:41:20.560413Z digest=sha256:78318c916eb3581a7ea55d87b7e9ecd13ce5f68a415cba2a01cbc7a15c482714

Observation d8708782-7996-4984-abd3-f2a87cf3f14a · outbound

This paper cites 2010 IEEE Symposium on Security and Privacy , pages =.

Cybersecurity Detection Classification with Reasoning-enabled Language Models 2010 IEEE Symposium on Security and Privacy , pages =

Reference 7

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source=arxiv_source observed=2026-07-31T06:41:20.748230Z digest=sha256:bb43945e0ccc3fd1c7b1beb8384f79bdc73f4e1b6e1b13a91036e858e694cce0

Observation 6d3ed34d-8a75-49bb-8b99-2a1704e5108a · outbound

This paper cites 2019 , publisher =.

Cybersecurity Detection Classification with Reasoning-enabled Language Models 2019 , publisher =

Reference 8

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source=arxiv_source observed=2026-07-31T06:41:20.867973Z digest=sha256:57d30eef1cd7b66b7801e7ad1b3f4946e55b3bffeb6ede85f00e36885c42c4c3

Observation ba60c0b5-a099-4ab2-9ee3-b3ad3da342e3 · outbound

This paper cites 2025 , eprint =.

Cybersecurity Detection Classification with Reasoning-enabled Language Models 2025 , eprint =

Reference 9

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Observation b3f2b95b-a826-420f-87b9-e5d9f5a0a281 · outbound

This paper cites Labeling NIDS Rules with MITRE ATT&CK Techniques: Machine Learning vs. Large Language Models.

Cybersecurity Detection Classification with Reasoning-enabled Language Models Labeling NIDS Rules with MITRE ATT&CK Techniques: Machine Learning vs. Large Language Models

Reference 10

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source=arxiv_source observed=2026-07-31T06:41:21.097683Z digest=sha256:1ee78041b05fad801ea19cf9e1b355f063c3b871fed022b0eed0f2a5948997af

Observation d5c88019-b019-44f6-b739-a9af75c6ffd4 · outbound

This paper cites ACM Transactions on Information and System Security , volume =.

Cybersecurity Detection Classification with Reasoning-enabled Language Models ACM Transactions on Information and System Security , volume =

Reference 11

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source=arxiv_source observed=2026-07-31T06:41:21.222294Z digest=sha256:f125210280c3b9bc3fbbdd32a019285f62bf1e77df55d9c847dd13e82f0f388a

Observation f3a71723-2c12-48ce-a843-b0f32336ca56 · outbound

This paper cites Recent Advances in Intrusion Detection (RAID) , year =.

Cybersecurity Detection Classification with Reasoning-enabled Language Models Recent Advances in Intrusion Detection (RAID) , year =

Reference 12

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Observation 7b603898-5fdf-4e8e-8d5d-4832e6277022 · outbound

This paper cites an unresolved cited work.

Cybersecurity Detection Classification with Reasoning-enabled Language Models Unresolved cited work

Reference 13

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source=arxiv_source observed=2026-07-31T06:41:21.405856Z digest=sha256:edad5c475cf9eb5819f33fdff3b094587f67aac148e54e4372d80c393ef0cb8c

Observation aecedb3d-403b-4f79-bab0-9fdf15f57a05 · outbound

This paper cites an unresolved cited work.

Cybersecurity Detection Classification with Reasoning-enabled Language Models Unresolved cited work

Reference 14

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source=arxiv_source observed=2026-07-31T06:41:21.526207Z digest=sha256:4faa97af66f20f23d35157f891a3b533d62ef568d56eb3311e1088293ea48881

Observation c59ccb3e-b12c-48bc-9ecd-e9b6b060deab · outbound

This paper cites and Gjomemo, Rigel and Eshete, Birhanu and Sekar, R.

Cybersecurity Detection Classification with Reasoning-enabled Language Models and Gjomemo, Rigel and Eshete, Birhanu and Sekar, R

Reference 15

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source=arxiv_source observed=2026-07-31T06:41:21.634742Z digest=sha256:0d367d6c1274389126bcde2de4dd0fbf7f40d6fe50e8e81aad006c2a638863bc

Observation 1d9a8ba7-360f-407b-b759-ef8d82bc7121 · outbound

This paper cites HuntGPT: Integrating Machine Learning-Based Anomaly Detection and Explainable AI with Large Language Models (LLMs).

Cybersecurity Detection Classification with Reasoning-enabled Language Models HuntGPT: Integrating Machine Learning-Based Anomaly Detection and Explainable AI with Large Language Models (LLMs)

Reference 16

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source=arxiv_source observed=2026-07-31T06:41:21.698180Z digest=sha256:c9898432314f24649a5e52639e5985ad6fbc144dd6ad7615741e6a00ad1a8937

Observation e7d41455-d742-4eb6-b217-a8dd8d8ccd02 · outbound

This paper cites LogGPT: Exploring ChatGPT for Log-Based Anomaly Detection.

Cybersecurity Detection Classification with Reasoning-enabled Language Models LogGPT: Exploring ChatGPT for Log-Based Anomaly Detection

Reference 17

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source=arxiv_source observed=2026-07-31T06:41:21.746327Z digest=sha256:23f7c3afaebef7f38e4adb947cb5a66f84fa7dcae43d964e3943900ac5394cec

Observation 8b76a12d-c3f9-4001-a81a-d9dce3bd7229 · outbound

This paper cites Towards AI-Driven Human-Machine Co-Teaming for Adaptive and Agile Cyber Security Operation Centers.

Cybersecurity Detection Classification with Reasoning-enabled Language Models Towards AI-Driven Human-Machine Co-Teaming for Adaptive and Agile Cyber Security Operation Centers

Reference 18

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source=arxiv_source observed=2026-07-31T06:41:21.805878Z digest=sha256:dd3f0bc473efffebd18363db64be942c1112daba511149a7433a8847b3134feb

Observation 4acf858f-6e9b-434d-a99c-8da186db13ff · outbound

This paper cites Sifting the Noise: A Comparative Study of LLM Agents in Vulnerability False Positive Filtering.

Cybersecurity Detection Classification with Reasoning-enabled Language Models Sifting the Noise: A Comparative Study of LLM Agents in Vulnerability False Positive Filtering

Reference 19

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source=arxiv_source observed=2026-07-31T06:41:21.870683Z digest=sha256:8aef3cef1e0d6a7a95b3d6683cd8fab4aaa315bb734909c1eca6d3f156411859

Observation e3db9b58-5d5c-466d-bd61-3ffbe9c279ef · outbound

This paper cites Before You Hand Over the Wheel: Evaluating.

Cybersecurity Detection Classification with Reasoning-enabled Language Models Before You Hand Over the Wheel: Evaluating

Reference 20

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source=arxiv_source observed=2026-07-31T06:41:21.941412Z digest=sha256:c712da8a609f7635084f5cacb00eae5edc1b38b4cc9a04817e230022b434a187

Observation ce321709-52ea-416e-9ac1-a0e1af02159f · outbound

This paper cites 2023 , eprint =.

Cybersecurity Detection Classification with Reasoning-enabled Language Models 2023 , eprint =

Reference 21

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source=arxiv_source observed=2026-07-31T06:41:22.012382Z digest=sha256:cb2836a63841706f937d70c7be876afd3cfce7dc6843054f568725697b2ea7d3

Observation 2ef36b6c-225d-4f35-b3ec-3507f58d3260 · outbound

This paper cites PACE-LM: Prompting and Augmentation for Calibrated Confidence Estimation with GPT-4 in Cloud Incident Root Cause Analysis.

Cybersecurity Detection Classification with Reasoning-enabled Language Models PACE-LM: Prompting and Augmentation for Calibrated Confidence Estimation with GPT-4 in Cloud Incident Root Cause Analysis

Reference 22

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source=arxiv_source observed=2026-07-31T06:41:22.083298Z digest=sha256:fd28ab7ab146a293058713767eb5b430bc52394507a12918c0b4ff9c9662dcb9

Observation f535dde2-ba3a-4ae9-9ff7-ca3716948566 · outbound

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

Cybersecurity Detection Classification with Reasoning-enabled Language Models When LLMs Meet Cybersecurity: A Systematic Literature Review

Reference 23

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source=arxiv_source observed=2026-07-31T06:41:22.167266Z digest=sha256:d00a0fd7f1dcfbbd6728f000eb1f635b09c2877af506ed94f5fa5dd2d3e4a2c2

Observation 2d981233-942f-4d17-8b8d-7e12de183505 · outbound

This paper cites Advances in Neural Information Processing Systems (NeurIPS) , year =.

Cybersecurity Detection Classification with Reasoning-enabled Language Models Advances in Neural Information Processing Systems (NeurIPS) , year =

Reference 24

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source=arxiv_source observed=2026-07-31T06:41:22.283581Z digest=sha256:59dfccff8b4235bed1c3d14157e63147ad644dcc43e12c42abce0e1ba011fdcf

Observation 92d7e637-b4b9-4c18-8199-7094ce6544bf · outbound

This paper cites Advances in Neural Information Processing Systems (NeurIPS) , year =.

Cybersecurity Detection Classification with Reasoning-enabled Language Models Advances in Neural Information Processing Systems (NeurIPS) , year =

Reference 25

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source=arxiv_source observed=2026-07-31T06:41:22.399913Z digest=sha256:5ad53d0d978f7608ec8c372b1a04f360644ee335685dbc54a401041f77819583

Observation 533f01c6-0541-4aa5-954a-9f913b51aab6 · outbound

This paper cites International Conference on Learning Representations (ICLR) , year =.

Cybersecurity Detection Classification with Reasoning-enabled Language Models International Conference on Learning Representations (ICLR) , year =

Reference 26

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source=arxiv_source observed=2026-07-31T06:41:22.575899Z digest=sha256:8097f2ea4ff4c2f433f751c0948fea0d558bed1cff2123479f5c83f39ab4c050

Observation 4501d413-7fe2-48ed-9bc7-946933b9fd34 · outbound

This paper cites Challenging.

Cybersecurity Detection Classification with Reasoning-enabled Language Models Challenging

Reference 27

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source=arxiv_source observed=2026-07-31T06:41:22.676327Z digest=sha256:853f5c723db813dd79cebe6f062e4657331d33fb2481dd39e9b5b415c114602d

Observation 62f08f12-37af-4e59-9c1d-413ed58696da · outbound

This paper cites Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP) , year =.

Cybersecurity Detection Classification with Reasoning-enabled Language Models Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP) , year =

Reference 28

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source=arxiv_source observed=2026-07-31T06:41:22.781238Z digest=sha256:7126d5098d24787062c71d2753d49954bb31d3c2f7ed914bb7c312152f259eab

Observation 6acb2c19-52de-4976-b742-73e47c0cdfa3 · outbound

This paper cites an unresolved cited work.

Cybersecurity Detection Classification with Reasoning-enabled Language Models Unresolved cited work

Reference 29

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source=arxiv_source observed=2026-07-31T06:41:22.898974Z digest=sha256:e4c7d73f2dae4c847b1cd1dc3975b7246eba167857ad075c75d2cf470726afe3

Observation a811af92-4e2d-4302-a3f8-b066c742c538 · outbound

This paper cites International Conference on Learning Representations (ICLR) , year =.

Cybersecurity Detection Classification with Reasoning-enabled Language Models International Conference on Learning Representations (ICLR) , year =

Reference 30

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source=arxiv_source observed=2026-07-31T06:41:23.034757Z digest=sha256:3c5066e32eb5973a34bfe3d9ecc395b374764b1b7fd96d241515710ec4b2dbd8

Observation af112946-bd48-4f9c-ab9c-aeb4d841d169 · outbound

This paper cites International Conference on Learning Representations (ICLR) , year =.

Cybersecurity Detection Classification with Reasoning-enabled Language Models International Conference on Learning Representations (ICLR) , year =

Reference 31

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no resolver link, observed 2026-07-31T06:41:23.174755Z

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source=arxiv_source observed=2026-07-31T06:41:23.174755Z digest=sha256:5cb54f6442a6907fd9c9d1a87a1e46b836dbbf17ca159583044d850ae078e7c9

Observation 90ea2331-ebb1-4456-8b51-05ff20a4dcd4 · outbound

This paper cites International Conference on Learning Representations (ICLR) , year =.

Cybersecurity Detection Classification with Reasoning-enabled Language Models International Conference on Learning Representations (ICLR) , year =

Reference 32

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source=arxiv_source observed=2026-07-31T06:41:23.294893Z digest=sha256:140d38c074cbf5bb9b0aabcdf0fd8cdf5b417f1350202c2da5e58f1da454fed9

Observation 1d3d3572-4f64-4c42-8fb7-922392f0f7bc · outbound

This paper cites DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines.

Cybersecurity Detection Classification with Reasoning-enabled Language Models DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines

Reference 33

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source=arxiv_source observed=2026-07-31T06:41:23.404752Z digest=sha256:559edffa35f9bf56caf52b41e409077bac636dafc84d1d38a59d56780ea18121

Observation fdeb23a8-b1c9-4bea-9872-ff7982fdef93 · outbound

This paper cites GEPA: Reflective Prompt Evolution Can Outperform Reinforcement Learning.

Cybersecurity Detection Classification with Reasoning-enabled Language Models GEPA: Reflective Prompt Evolution Can Outperform Reinforcement Learning

Reference 34

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source=arxiv_source observed=2026-07-31T06:41:23.534755Z digest=sha256:3c9c9846f533b9d90581231538408f364d98a0c5e137ed182737f6daaed7f561

Observation 3f8adf45-335f-4d55-b31b-3828a14c1a56 · outbound

This paper cites Quiet-STaR: Language Models Can Teach Themselves to Think Before Speaking.

Cybersecurity Detection Classification with Reasoning-enabled Language Models Quiet-STaR: Language Models Can Teach Themselves to Think Before Speaking

Reference 35

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source=arxiv_source observed=2026-07-31T06:41:23.649729Z digest=sha256:9a9e47eb5ba3a6bfa7f28bc54c8af81862b40d8428a396721d777aa8fdbc3257

Observation 0f8d0eb8-ad86-4cc8-9bee-50b6f5099b39 · outbound

This paper cites V-STaR: Training Verifiers for Self-Taught Reasoners.

Cybersecurity Detection Classification with Reasoning-enabled Language Models V-STaR: Training Verifiers for Self-Taught Reasoners

Reference 36

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source=arxiv_source observed=2026-07-31T06:41:23.777439Z digest=sha256:c8fad3e76d9be4d4280d93dd6c21b5037bd01a611749fcabf0186e5e464f943e

Observation 9bb5af60-9364-4f92-9420-029f601e13d2 · outbound

This paper cites Reinforced Self-Training (ReST) for Language Modeling.

Cybersecurity Detection Classification with Reasoning-enabled Language Models Reinforced Self-Training (ReST) for Language Modeling

Reference 37

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source=arxiv_source observed=2026-07-31T06:41:23.881864Z digest=sha256:9b7274a393cc0daf4a5537ef823aafbeb1c09f968a79c03e813ba9c4cc31ff8e

Observation fce1610e-1d17-40f6-80ed-8735689ad5c6 · outbound

This paper cites Transactions on Machine Learning Research , year =.

Cybersecurity Detection Classification with Reasoning-enabled Language Models Transactions on Machine Learning Research , year =

Reference 38

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source=arxiv_source observed=2026-07-31T06:41:24.045531Z digest=sha256:ec32df326ecd4e8b0874de12235743f98b9f462fa4e7807f4c40acec06e1dc03

Observation 9706df14-7845-4965-869b-10702ab3738c · outbound

This paper cites 2023 , eprint =.

Cybersecurity Detection Classification with Reasoning-enabled Language Models 2023 , eprint =

Reference 39

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no resolver link, observed 2026-07-31T06:41:24.208951Z

Source-reported events for the cited work

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Observation 3648f808-8d41-4f97-80f6-4f003286c468 · outbound

This paper cites Advances in Neural Information Processing Systems (NeurIPS) , year =.

Cybersecurity Detection Classification with Reasoning-enabled Language Models Advances in Neural Information Processing Systems (NeurIPS) , year =

Reference 40

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no resolver link, observed 2026-07-31T06:41:24.353718Z

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source=arxiv_source observed=2026-07-31T06:41:24.353718Z digest=sha256:908a6daed441b28cf45e082b7ec3a940a6b9d263c2da3454900cd90f9f10e31e

Observation 360795d9-649e-47af-8c49-ad968e90f87c · outbound

This paper cites an unresolved cited work.

Cybersecurity Detection Classification with Reasoning-enabled Language Models Unresolved cited work

Reference 41

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no resolver link, observed 2026-07-31T06:41:24.437589Z

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source=arxiv_source observed=2026-07-31T06:41:24.437589Z digest=sha256:e58462c1bd56dfe9b3170c183d5a6b8ce54230297b5961719f45a2692cc739e4

Observation 156d28c1-7141-438a-88cb-665031c382a5 · outbound

This paper cites Advances in Neural Information Processing Systems (NeurIPS) , year =.

Cybersecurity Detection Classification with Reasoning-enabled Language Models Advances in Neural Information Processing Systems (NeurIPS) , year =

Reference 42

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no resolver link, observed 2026-07-31T06:41:24.512510Z

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source=arxiv_source observed=2026-07-31T06:41:24.512510Z digest=sha256:aa5bb0f7057f0f69a8293da29371682cbd1f73e19742a41999808c3a0655fec4

Observation ee8fd916-865c-498b-b339-cafb0275e07a · outbound

This paper cites 2017 , eprint =.

Cybersecurity Detection Classification with Reasoning-enabled Language Models 2017 , eprint =

Reference 43

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no resolver link, observed 2026-07-31T06:41:24.593944Z

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source=arxiv_source observed=2026-07-31T06:41:24.593944Z digest=sha256:944760dcfa1037f23966db2d6cbdb9e57272e8683c55e511815856632c1363d1

Observation 2de603e7-7dc7-4f95-a786-a158f5508dda · outbound

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

Cybersecurity Detection Classification with Reasoning-enabled Language Models Tulu 3: Pushing Frontiers in Open Language Model Post-Training

Reference 44

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no resolver link, observed 2026-07-31T06:41:24.643513Z

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source=arxiv_source observed=2026-07-31T06:41:24.643513Z digest=sha256:742400e23af57b84d8404ee3f85622da8fe949457107704074a16d02a5781556

Observation 24605543-6345-481b-9e06-42d11aabf71d · outbound

This paper cites Back to Basics: Revisiting.

Cybersecurity Detection Classification with Reasoning-enabled Language Models Back to Basics: Revisiting

Reference 45

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no resolver link, observed 2026-07-31T06:41:24.685893Z

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source=arxiv_source observed=2026-07-31T06:41:24.685893Z digest=sha256:dd20b1f9d4f257cac1e47bd570725b7671ffcc6f3f9470b7dafe77c6d28e8006

Observation 9a7689fd-0935-481a-a7b9-971f86dcf435 · outbound

This paper cites Advances in Large Margin Classifiers , pages =.

Cybersecurity Detection Classification with Reasoning-enabled Language Models Advances in Large Margin Classifiers , pages =

Reference 46

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no resolver link, observed 2026-07-31T06:41:24.724627Z

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source=arxiv_source observed=2026-07-31T06:41:24.724627Z digest=sha256:fefa8723c4ca2f6c882abfd16d5142d96c6e47dabbd9b096679025cbe27ae846

Observation 293b3185-0f8f-4efd-9a03-4369034b87d5 · outbound

This paper cites International Conference on Machine Learning (ICML) , year =.

Cybersecurity Detection Classification with Reasoning-enabled Language Models International Conference on Machine Learning (ICML) , year =

Reference 47

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no resolver link, observed 2026-07-31T06:41:24.753155Z

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source=arxiv_source observed=2026-07-31T06:41:24.753155Z digest=sha256:354f07a780448a8b14f9da72825b581812dbe4f2812d59685132ed9dab808074

Observation 342c6f5e-25ab-4a86-9094-6f5bfb0fff95 · outbound

This paper cites 2022 , eprint =.

Cybersecurity Detection Classification with Reasoning-enabled Language Models 2022 , eprint =

Reference 48

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no resolver link, observed 2026-07-31T06:41:24.782970Z

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source=arxiv_source observed=2026-07-31T06:41:24.782970Z digest=sha256:4183acf76d6c1258345a31f544da9468aa754bef9f498839d8c08804103d028e

Observation 7cf50fb1-bd36-40e5-bd04-c6ddc86a7a09 · outbound

This paper cites Transactions on Machine Learning Research , year =.

Cybersecurity Detection Classification with Reasoning-enabled Language Models Transactions on Machine Learning Research , year =

Reference 49

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source=arxiv_source observed=2026-07-31T06:41:24.991899Z digest=sha256:13ddd2fd959158f1d932d61b6ba96c3b74ca871eea61e2653d6ca5389aa61e84

Observation 54daafbe-73b9-4628-bcfe-b6984fbee4c7 · outbound

This paper cites International Conference on Learning Representations (ICLR) , year =.

Cybersecurity Detection Classification with Reasoning-enabled Language Models International Conference on Learning Representations (ICLR) , year =

Reference 50

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no resolver link, observed 2026-07-31T06:41:25.067505Z

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source=arxiv_source observed=2026-07-31T06:41:25.067505Z digest=sha256:896d49489e028533b1714550623fef1b56299ad87f6b073cf42fd6b4303f8111

Observation 5a097160-28ea-4bdd-9587-c5bea007901c · outbound

This paper cites 2021 , eprint =.

Cybersecurity Detection Classification with Reasoning-enabled Language Models 2021 , eprint =

Reference 51

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no resolver link, observed 2026-07-31T06:41:25.116710Z

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source=arxiv_source observed=2026-07-31T06:41:25.116710Z digest=sha256:4528b39120d8d49409a3f4359d0709be5782660a99ad709ffa0e299531eff7bf

Observation a4278300-bbaf-469c-9e6e-4e4d47392575 · outbound

This paper cites and Shen, Yelong and Wallis, Phillip and Allen-Zhu, Zeyuan and Li, Yuanzhi and Wang, Shean and Wang, Lu and Chen, Weizhu , booktitle =.

Cybersecurity Detection Classification with Reasoning-enabled Language Models and Shen, Yelong and Wallis, Phillip and Allen-Zhu, Zeyuan and Li, Yuanzhi and Wang, Shean and Wang, Lu and Chen, Weizhu , booktitle =

Reference 52

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source=arxiv_source observed=2026-07-31T06:41:25.173868Z digest=sha256:5a88485e49acafd8d240667fec046c213fb0361bea116cdbde6a2f648d54322a

Pith citing papers

No inbound Pith citation observations are available.