Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-15T21:25:51.604549Z
Paper Citation Record · LEDGER
On Technique Identification and Threat-Actor Attribution using LLMs and Embedding Models
As of 16 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 1 inbound Pith citation observation for arXiv:2505.11547.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T04:39:46.658530Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-07T04:39:49.620297Z
Reference resolution
40 of 40 outbound references displayed
- verified exact3
- verified fuzzy22
- unresolved10
- parse uncertain0
- malformed identifier2
- metadata mismatch3
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 00699047-89a5-4495-8abb-868cd62037ad · outbound
This paper cites Soesanto, Divided or United in Cyberspace? From EU, NATO, Five Eyes to Japan , https : / / media.
On Technique Identification and Threat-Actor Attribution using LLMs and Embedding Models Soesanto, Divided or United in Cyberspace? From EU, NATO, Five Eyes to Japan , https : / / media
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:25:52.533950Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 6979c878-67a5-402f-9cbe-85d8f6343b79 · outbound
This paper cites Cyber Threat Attri- bution Using Unstructured Reports in Cyber Threat Intelligence,.
On Technique Identification and Threat-Actor Attribution using LLMs and Embedding Models Cyber Threat Attri- bution Using Unstructured Reports in Cyber Threat Intelligence,
Reference 2
- Resolution
- verified exact
- doi, observed 2026-08-15T21:25:51.663255Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 3e5fe37d-4172-4c81-802b-dc1e6e8aefd0 · outbound
This paper cites Explainable APT Attribution for Malware Using NLP Techniques,.
On Technique Identification and Threat-Actor Attribution using LLMs and Embedding Models Explainable APT Attribution for Malware Using NLP Techniques,
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:25:52.517854Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation ce9a98f4-6d15-4811-8340-f150579295a1 · outbound
This paper cites Auto- matically Labeling Cyber Threat Intelligence Reports Using Natural Language Processing,.
On Technique Identification and Threat-Actor Attribution using LLMs and Embedding Models Auto- matically Labeling Cyber Threat Intelligence Reports Using Natural Language Processing,
Reference 4
- Resolution
- metadata mismatch
- raw_fallback, observed 2026-08-15T21:25:52.061788Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation a74692e3-9b97-4bf1-bcfe-750c3ebb5299 · outbound
This paper cites NO-DOUBT: At- tack Attribution Based On Threat Intelligence Reports,.
On Technique Identification and Threat-Actor Attribution using LLMs and Embedding Models NO-DOUBT: At- tack Attribution Based On Threat Intelligence Reports,
Reference 5
- Resolution
- metadata mismatch
- raw_fallback, observed 2026-08-15T21:25:51.994697Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation d54253c6-c3d0-418a-aafa-583527c07883 · outbound
This paper cites Deep Learning for Threat Actor Attribution from Threat Reports,.
On Technique Identification and Threat-Actor Attribution using LLMs and Embedding Models Deep Learning for Threat Actor Attribution from Threat Reports,
Reference 6
- Resolution
- metadata mismatch
- raw_fallback, observed 2026-08-15T21:25:51.924156Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 1772af43-d57a-4de4-a893-913eb528a9ab · outbound
This paper cites Cyber Threat Attri- bution Using Unstructured Reports in Cyber Threat Intelligence,.
On Technique Identification and Threat-Actor Attribution using LLMs and Embedding Models Cyber Threat Attri- bution Using Unstructured Reports in Cyber Threat Intelligence,
Reference 7
- Resolution
- verified exact
- doi, observed 2026-08-15T21:25:51.646144Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 6da49f3d-5a1c-4969-a8a6-1413c9d9464e · outbound
This paper cites At- tribution classification method of apt malware based on multi-feature fusion,.
On Technique Identification and Threat-Actor Attribution using LLMs and Embedding Models At- tribution classification method of apt malware based on multi-feature fusion,
Reference 8
- Resolution
- malformed identifier
- raw_fallback, observed 2026-08-15T21:25:52.500941Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation ceff74f6-5fb6-4920-b34a-4a2fa541d559 · outbound
This paper cites an unresolved cited work.
On Technique Identification and Threat-Actor Attribution using LLMs and Embedding Models Unresolved cited work
Reference 10
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T21:25:52.485026Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 150707ea-4e87-46f1-87a0-c1f739334bc2 · outbound
This paper cites Misleading Au- thorship Attribution of Source Code Using Adversarial Learning,.
On Technique Identification and Threat-Actor Attribution using LLMs and Embedding Models Misleading Au- thorship Attribution of Source Code Using Adversarial Learning,
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:25:52.469239Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 784d0bf3-5eaf-491c-a501-7b8fb2ae1c6a · outbound
This paper cites Nation-State Threat Ac- tor Attribution Using Fuzzy Hashing,.
On Technique Identification and Threat-Actor Attribution using LLMs and Embedding Models Nation-State Threat Ac- tor Attribution Using Fuzzy Hashing,
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:25:52.452754Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 52db6ae0-d0e8-411d-adf6-25e13d265fec · outbound
This paper cites an unresolved cited work.
On Technique Identification and Threat-Actor Attribution using LLMs and Embedding Models Unresolved cited work
Reference 13
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T21:25:52.436943Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 8bfdc58e-2899-45cf-a1a3-95aaf0e4f494 · outbound
This paper cites A Comprehensive Survey of Advanced Persistent Threat Attribution: Taxonomy, Methods, Challenges and Open Research Problems.
On Technique Identification and Threat-Actor Attribution using LLMs and Embedding Models A Comprehensive Survey of Advanced Persistent Threat Attribution: Taxonomy, Methods, Challenges and Open Research Problems
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T21:25:51.473758Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e3c624e0-73bf-4011-a317-2fccf0816620 · outbound
This paper cites Vulcan: Automatic ex- traction and analysis of cyber threat intelligence from unstructured text,.
On Technique Identification and Threat-Actor Attribution using LLMs and Embedding Models Vulcan: Automatic ex- traction and analysis of cyber threat intelligence from unstructured text,
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:25:52.421439Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 68483cc3-b4a3-44c8-a845-bfce4d70d8ed · outbound
This paper cites Automated discovery and mapping att&ck tactics and techniques for unstruc- tured cyber threat intelligence,.
On Technique Identification and Threat-Actor Attribution using LLMs and Embedding Models Automated discovery and mapping att&ck tactics and techniques for unstruc- tured cyber threat intelligence,
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:25:52.405828Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation be2332c6-7a24-480e-9046-68da29497c2d · outbound
This paper cites CTI: Attributing Cyberattacks,.
On Technique Identification and Threat-Actor Attribution using LLMs and Embedding Models CTI: Attributing Cyberattacks,
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:25:52.390137Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 2c9e34b7-b6fd-40fa-a55e-2c9088f5281e · outbound
This paper cites A Machine Learning based Empirical Evaluation of Cyber Threat Actors High Level Attack Patterns over Low level Attack Patterns in Attributing Attacks.
On Technique Identification and Threat-Actor Attribution using LLMs and Embedding Models A Machine Learning based Empirical Evaluation of Cyber Threat Actors High Level Attack Patterns over Low level Attack Patterns in Attributing Attacks
Reference 18
- Resolution
- verified exact
- local_arxiv, observed 2026-08-15T21:25:51.720932Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 7ff28f2c-4c73-42cc-ab73-51ab2c49e5a7 · outbound
This paper cites On the Feasibility of Malware Authorship Attribution,.
On Technique Identification and Threat-Actor Attribution using LLMs and Embedding Models On the Feasibility of Malware Authorship Attribution,
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:25:52.374766Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 11ad76a2-e328-4f8c-8517-c22fb60282f3 · outbound
This paper cites Identifying Authorship Style in Malicious Binaries: Techniques, Challenges & Datasets.
On Technique Identification and Threat-Actor Attribution using LLMs and Embedding Models Identifying Authorship Style in Malicious Binaries: Techniques, Challenges & Datasets
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T21:25:51.502858Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f07dfa8b-b2f2-4017-b9ad-d71a5c5fe20d · outbound
This paper cites Bianco, The Pyramid of Pain , http://detect-respond.
On Technique Identification and Threat-Actor Attribution using LLMs and Embedding Models Bianco, The Pyramid of Pain , http://detect-respond
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:25:52.340657Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation d717599a-aabc-4cad-bc24-58f993c85e72 · outbound
This paper cites DeepSign: Deep Learning for Automatic Malware Signature Generation and Classification,.
On Technique Identification and Threat-Actor Attribution using LLMs and Embedding Models DeepSign: Deep Learning for Automatic Malware Signature Generation and Classification,
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:25:52.324516Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 0388de08-a617-4279-9474-bf8bc908c2f6 · outbound
This paper cites Available: https://arxiv.org/abs/2101.
On Technique Identification and Threat-Actor Attribution using LLMs and Embedding Models Available: https://arxiv.org/abs/2101
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:25:52.357428Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation cd3ad2a7-dcec-4f38-87a9-a12e5229ecd8 · outbound
This paper cites Automated Behavioral Analysis of Malware: A Case Study of WannaCry Ransomware,.
On Technique Identification and Threat-Actor Attribution using LLMs and Embedding Models Automated Behavioral Analysis of Malware: A Case Study of WannaCry Ransomware,
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:25:52.291441Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 26d9f7b9-343f-4821-b91b-cbda5e30d765 · outbound
This paper cites DeepAPT: Nation-State Apt Attribution Using End-to-End Deep Neural Networks,.
On Technique Identification and Threat-Actor Attribution using LLMs and Embedding Models DeepAPT: Nation-State Apt Attribution Using End-to-End Deep Neural Networks,
Reference 25
- Resolution
- malformed identifier
- raw_fallback, observed 2026-08-15T21:25:52.274507Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation b471dc9f-c240-4201-8c35-9d7fc511cf14 · outbound
This paper cites Dynamic Malware Analysis Using Cuckoo Sandbox,.
On Technique Identification and Threat-Actor Attribution using LLMs and Embedding Models Dynamic Malware Analysis Using Cuckoo Sandbox,
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:25:52.307840Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 3c4d007c-465f-40eb-9e02-a6f45de199b4 · outbound
This paper cites an unresolved cited work.
On Technique Identification and Threat-Actor Attribution using LLMs and Embedding Models Unresolved cited work
Reference 27
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T21:25:52.242519Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation b20ab464-2b57-4466-8720-05255ce1c805 · outbound
This paper cites MTEB: Massive text embedding benchmark,.
On Technique Identification and Threat-Actor Attribution using LLMs and Embedding Models MTEB: Massive text embedding benchmark,
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:25:52.226886Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 09522dfe-b455-481b-9cd1-db4c00aa46ee · outbound
This paper cites Win- dows Malware Detection Based on Cuckoo Sandbox Generated Report Using Machine Learning Algorithm,.
On Technique Identification and Threat-Actor Attribution using LLMs and Embedding Models Win- dows Malware Detection Based on Cuckoo Sandbox Generated Report Using Machine Learning Algorithm,
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:25:52.259098Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation e734652b-0f09-4450-bef9-b45d11496e78 · outbound
This paper cites Precise Zero-Shot Dense Retrieval without Relevance Labels.
On Technique Identification and Threat-Actor Attribution using LLMs and Embedding Models Precise Zero-Shot Dense Retrieval without Relevance Labels
Reference 30
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T21:25:51.561172Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 95e1ebc8-9e04-4288-89a7-273e36d1cb59 · outbound
This paper cites an unresolved cited work.
On Technique Identification and Threat-Actor Attribution using LLMs and Embedding Models Unresolved cited work
Reference 31
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T21:25:52.194615Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation c9e78da0-460f-4446-a51e-496ed2d1e001 · outbound
This paper cites org/techniques/enterprise/, Accessed: 2023-12-10.
On Technique Identification and Threat-Actor Attribution using LLMs and Embedding Models org/techniques/enterprise/, Accessed: 2023-12-10
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:25:52.211034Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation aea00040-35df-4006-a484-5f39ea18dea6 · outbound
This paper cites etda.or.th/cgi-bin/aptgroups.cgi, 2024.
On Technique Identification and Threat-Actor Attribution using LLMs and Embedding Models etda.or.th/cgi-bin/aptgroups.cgi, 2024
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:25:52.163017Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 2b9ffcbd-4fe9-49c5-9fa8-86e8b9566ffe · outbound
This paper cites Mazuz, Attack Attribution Dataset , https : / / github.
On Technique Identification and Threat-Actor Attribution using LLMs and Embedding Models Mazuz, Attack Attribution Dataset , https : / / github
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:25:52.146972Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 6ff536ec-f10e-4fbd-9e8b-3963de08662e · outbound
This paper cites [Online].
On Technique Identification and Threat-Actor Attribution using LLMs and Embedding Models [Online]
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:25:52.178616Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation bdcba1e8-ee93-4671-a745-403d43b7e9c2 · outbound
This paper cites an unresolved cited work.
On Technique Identification and Threat-Actor Attribution using LLMs and Embedding Models Unresolved cited work
Reference 36
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T21:25:52.114220Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 54c74649-a43d-4bbf-9d4c-1333d2a6ed26 · outbound
This paper cites [Online].
On Technique Identification and Threat-Actor Attribution using LLMs and Embedding Models [Online]
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:25:52.081127Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation c5c852d4-5d11-4112-88ab-2b7c8d0f445e · outbound
This paper cites Brownlee, K-Fold Cross-Validation , https : / / machinelearningmastery.com/k- fold- cross- validation/, 2024.
On Technique Identification and Threat-Actor Attribution using LLMs and Embedding Models Brownlee, K-Fold Cross-Validation , https : / / machinelearningmastery.com/k- fold- cross- validation/, 2024
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:25:52.130685Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 55d447d1-bd75-4d93-9c8d-a04716f89f42 · outbound
This paper cites Available: https : / / attack.
On Technique Identification and Threat-Actor Attribution using LLMs and Embedding Models Available: https : / / attack
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:25:52.097664Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 47d4c71e-4f65-46f3-81d5-d94ae44c262b · outbound
This paper cites Available: https : / / doi.
On Technique Identification and Threat-Actor Attribution using LLMs and Embedding Models Available: https : / / doi
Reference 2023
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T21:25:51.463561Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 32dd1c4f-85d2-44e0-ae4e-7ea67ea030c9 · outbound
This paper cites A Survey on Large Language Models with some Insights on their Capabilities and Limitations.
On Technique Identification and Threat-Actor Attribution using LLMs and Embedding Models A Survey on Large Language Models with some Insights on their Capabilities and Limitations
Reference 2025
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T21:25:51.443878Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
Observation d9636862-36a8-47f6-aae5-0e691fc54cc5 · inbound
AURA: A Multi-Agent Intelligence Framework for Knowledge-Enhanced Cyber Threat Attribution cites this paper.
AURA: A Multi-Agent Intelligence Framework for Knowledge-Enhanced Cyber Threat Attribution On Technique Identification and Threat-Actor Attribution using LLMs and Embedding Models
Reference 14
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-07T04:39:49.739177Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.