Paper Citation Record · LEDGER

Multi-LLM Consensus Framework for Evaluating Banking-Sector NIDS Dataset Coverage of MITRE ATT&CK Techniques

As of 20 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:2608.00895.

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

pith.paper-citation-record.v1
2608.00895 v1

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T15:20:17.128627Z

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+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

26 of 26 outbound references displayed

verified exact4
verified fuzzy9
unresolved9
parse uncertain0
malformed identifier3
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a0455273-a8c9-40e6-92a0-9f278307f462 · outbound

This paper cites Journal of Computer Virology and Hacking Techniques 20, 421– 432 (2024), https://doi.org/10.1007/s11416-024-00522-8.

Multi-LLM Consensus Framework for Evaluating Banking-Sector NIDS Dataset Coverage of MITRE ATT&CK Techniques Journal of Computer Virology and Hacking Techniques 20, 421– 432 (2024), https://doi.org/10.1007/s11416-024-00522-8

Reference 1

Resolution: verified exact; doi, observed 2026-08-15T15:20:17.258321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 636c1f2a-e681-4348-a143-3266460e47ed · outbound

This paper cites claude documentation (2024), https://docs.anthropic.com/en/docs/use -xml-tags.

Multi-LLM Consensus Framework for Evaluating Banking-Sector NIDS Dataset Coverage of MITRE ATT&CK Techniques claude documentation (2024), https://docs.anthropic.com/en/docs/use -xml-tags

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:20:17.755512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f8b1b53c-595a-49ef-9d6b-49f4cc77bec8 · outbound

This paper cites Data 8 (1), 18 (2023), https://www.mdpi.com/ 2306-5729/8/1/18.

Multi-LLM Consensus Framework for Evaluating Banking-Sector NIDS Dataset Coverage of MITRE ATT&CK Techniques Data 8 (1), 18 (2023), https://www.mdpi.com/ 2306-5729/8/1/18

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:20:17.743307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 5c79be50-bd16-41c2-a868-cf890da3f9c2 · outbound

This paper cites an unresolved cited work.

Multi-LLM Consensus Framework for Evaluating Banking-Sector NIDS Dataset Coverage of MITRE ATT&CK Techniques Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-15T15:20:17.731359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 587d8369-9f5b-4a0b-aeb1-f442ddbb3917 · outbound

This paper cites Principled Instructions Are All You Need for Questioning LLaMA-1/2, GPT-3.5/4.

Multi-LLM Consensus Framework for Evaluating Banking-Sector NIDS Dataset Coverage of MITRE ATT&CK Techniques Principled Instructions Are All You Need for Questioning LLaMA-1/2, GPT-3.5/4

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-15T15:20:17.050104Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bbf3b027-6272-4d09-b60c-ab3cde5a4d0a · outbound

This paper cites an unresolved cited work.

Multi-LLM Consensus Framework for Evaluating Banking-Sector NIDS Dataset Coverage of MITRE ATT&CK Techniques Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-08-15T15:20:17.718866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation bbfef533-f40c-403a-97ac-8365b739b7d6 · outbound

This paper cites an unresolved cited work.

Multi-LLM Consensus Framework for Evaluating Banking-Sector NIDS Dataset Coverage of MITRE ATT&CK Techniques Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-08-15T15:20:17.706133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f4b87154-9dcc-4447-abd8-c54ed9e233e1 · outbound

This paper cites large language models.

Multi-LLM Consensus Framework for Evaluating Banking-Sector NIDS Dataset Coverage of MITRE ATT&CK Techniques large language models

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:20:17.693977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 67ff136c-0517-4feb-b5f6-32e3718647dd · outbound

This paper cites Computers & Security 45, 100–123 (2014).

Multi-LLM Consensus Framework for Evaluating Banking-Sector NIDS Dataset Coverage of MITRE ATT&CK Techniques Computers & Security 45, 100–123 (2014)

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:20:17.681940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d6b0f7d3-1f1f-429e-8b14-a1130cac5ad5 · outbound

This paper cites Dhaka University Journal of Engineering and Technology 1(2), 121– 124 (2011).

Multi-LLM Consensus Framework for Evaluating Banking-Sector NIDS Dataset Coverage of MITRE ATT&CK Techniques Dhaka University Journal of Engineering and Technology 1(2), 121– 124 (2011)

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:20:17.669728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 48353c07-c50f-4ea8-9517-e08aaae4c5a2 · outbound

This paper cites In: Pro- ceedings of the 49th Annual Precise Time and Time Interval Systems and Appli- cations Meeting.

Multi-LLM Consensus Framework for Evaluating Banking-Sector NIDS Dataset Coverage of MITRE ATT&CK Techniques In: Pro- ceedings of the 49th Annual Precise Time and Time Interval Systems and Appli- cations Meeting

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:20:17.656992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 3bcf6fd1-e587-4a9f-aca3-2e58afc7dd77 · outbound

This paper cites IEEE Access 13, 217316– 217348 (2025).

Multi-LLM Consensus Framework for Evaluating Banking-Sector NIDS Dataset Coverage of MITRE ATT&CK Techniques IEEE Access 13, 217316– 217348 (2025)

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:20:17.643703Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 1a68f3c4-38af-46e4-87da-faeb45f1e15d · outbound

This paper cites Cybersecurity 2(1), 1–22 (2019), https://link.springer.com/article/10.1186/s42400- 019- 0038- 7.

Multi-LLM Consensus Framework for Evaluating Banking-Sector NIDS Dataset Coverage of MITRE ATT&CK Techniques Cybersecurity 2(1), 1–22 (2019), https://link.springer.com/article/10.1186/s42400- 019- 0038- 7

Reference 13

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 04c4c843-ecc1-4aa9-86c5-61eb6e1365bf · outbound

This paper cites an unresolved cited work.

Multi-LLM Consensus Framework for Evaluating Banking-Sector NIDS Dataset Coverage of MITRE ATT&CK Techniques Unresolved cited work

Reference 14

Resolution: unresolved; raw_fallback, observed 2026-08-15T15:20:17.631221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 086cad13-9f79-4387-92e6-3fece5d02059 · outbound

This paper cites an unresolved cited work.

Multi-LLM Consensus Framework for Evaluating Banking-Sector NIDS Dataset Coverage of MITRE ATT&CK Techniques Unresolved cited work

Reference 15

Resolution: unresolved; raw_fallback, observed 2026-08-15T15:20:17.618659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 3bbb92d6-60cb-4cb4-9abe-3e209950e338 · outbound

This paper cites South African Journal of Information Management 27(1), 2019 (2025), https: //journals.co.za/doi/full/10.4102/sajim.v27i1.2019.

Multi-LLM Consensus Framework for Evaluating Banking-Sector NIDS Dataset Coverage of MITRE ATT&CK Techniques South African Journal of Information Management 27(1), 2019 (2025), https: //journals.co.za/doi/full/10.4102/sajim.v27i1.2019

Reference 16

Resolution: verified exact; doi, observed 2026-08-15T15:20:17.237081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f3642c1f-1aab-4ba8-b7df-fee0f013070e · outbound

This paper cites In: 2015 military communications and information systems conference (MilCIS).

Multi-LLM Consensus Framework for Evaluating Banking-Sector NIDS Dataset Coverage of MITRE ATT&CK Techniques In: 2015 military communications and information systems conference (MilCIS)

Reference 17

Resolution: verified exact; raw_fallback, observed 2026-08-15T15:20:17.565029Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 0b46bdb6-2ed1-42ae-8c2d-1003d0472b85 · outbound

This paper cites Probabilistic Consensus through Ensemble Validation: A Framework for LLM Reliability.

Multi-LLM Consensus Framework for Evaluating Banking-Sector NIDS Dataset Coverage of MITRE ATT&CK Techniques Probabilistic Consensus through Ensemble Validation: A Framework for LLM Reliability

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-15T15:20:17.100355Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5169a9ac-a428-4657-b642-1fd936560968 · outbound

This paper cites Computers & Security 153, 104777 (2025), https://doi.org/10.1016/j.cose.2025.104777.

Multi-LLM Consensus Framework for Evaluating Banking-Sector NIDS Dataset Coverage of MITRE ATT&CK Techniques Computers & Security 153, 104777 (2025), https://doi.org/10.1016/j.cose.2025.104777

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 15a12855-bd5e-43c9-878d-175300d42c04 · outbound

This paper cites Jour- nal of Big Data 12(1), 264 (2025), https://link.springer.com/article/10.

Multi-LLM Consensus Framework for Evaluating Banking-Sector NIDS Dataset Coverage of MITRE ATT&CK Techniques Jour- nal of Big Data 12(1), 264 (2025), https://link.springer.com/article/10

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:20:17.605957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation fd694495-1409-42fe-a582-f7788478a29c · outbound

This paper cites an unresolved cited work.

Multi-LLM Consensus Framework for Evaluating Banking-Sector NIDS Dataset Coverage of MITRE ATT&CK Techniques Unresolved cited work

Reference 21

Resolution: malformed identifier; no resolver link, observed 2026-08-15T15:20:17.111111Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bd533eae-3c85-4397-9ef2-5121a5af2158 · outbound

This paper cites In: 2019 Inter - national Carnahan Conference on Security Technology (ICCST).

Multi-LLM Consensus Framework for Evaluating Banking-Sector NIDS Dataset Coverage of MITRE ATT&CK Techniques In: 2019 Inter - national Carnahan Conference on Security Technology (ICCST)

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:20:17.593179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 15fa662e-8497-4e8f-a868-6a08d503228e · outbound

This paper cites In: 2009 IEEE Symposium on Computational Intelligence for Security and Defense Applications.

Multi-LLM Consensus Framework for Evaluating Banking-Sector NIDS Dataset Coverage of MITRE ATT&CK Techniques In: 2009 IEEE Symposium on Computational Intelligence for Security and Defense Applications

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-15T15:20:17.118110Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7c98fcda-ffb5-404f-ae86-d9491f531f6d · outbound

This paper cites arXiv preprint arXiv:2511.00360 (2025), https://doi.org/10.48550/arXiv.2511.00360.

Multi-LLM Consensus Framework for Evaluating Banking-Sector NIDS Dataset Coverage of MITRE ATT&CK Techniques arXiv preprint arXiv:2511.00360 (2025), https://doi.org/10.48550/arXiv.2511.00360

Reference 24

Resolution: verified exact; doi, observed 2026-08-15T15:20:17.215622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c5b89db3-bbb3-467e-b640-020f859f0153 · outbound

This paper cites In: Proceedings of the Fifteenth ACM Conference on Data and Application Secu - rity and Privacy.

Multi-LLM Consensus Framework for Evaluating Banking-Sector NIDS Dataset Coverage of MITRE ATT&CK Techniques In: Proceedings of the Fifteenth ACM Conference on Data and Application Secu - rity and Privacy

Reference 25

Resolution: malformed identifier; raw_fallback, observed 2026-08-15T15:20:17.331573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 2c83c85b-cc4e-477e-9bf2-1be7b53dfc9f · outbound

This paper cites ThreatModeling-LLM: Automating Threat Modeling using Large Language Models for Banking System.

Multi-LLM Consensus Framework for Evaluating Banking-Sector NIDS Dataset Coverage of MITRE ATT&CK Techniques ThreatModeling-LLM: Automating Threat Modeling using Large Language Models for Banking System

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-15T15:20:17.128627Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.