Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T22:39:28.984950Z
Paper Citation Record · LEDGER
PhishKey: A Novel Centroid-Based Approach for Enhanced Phishing Detection Using Adaptive HTML Component Extraction
As of 21 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:2506.21106.
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 2026-08-21T06:32:19.484+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
43 of 43 outbound references displayed
- verified exact0
- verified fuzzy34
- unresolved9
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 1b35586f-7b42-4cf6-954b-935dcf8b6646 · outbound
This paper cites an unresolved cited work.
PhishKey: A Novel Centroid-Based Approach for Enhanced Phishing Detection Using Adaptive HTML Component Extraction Unresolved cited work
Reference 1
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T22:39:34.949512Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 92617353-ce85-44a0-8705-760b35ab4a10 · outbound
This paper cites An effective detection approach for phishing websites using url and html fea- tures.
PhishKey: A Novel Centroid-Based Approach for Enhanced Phishing Detection Using Adaptive HTML Component Extraction An effective detection approach for phishing websites using url and html fea- tures
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T22:39:34.879230Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 60a3c250-3417-4d41-80ef-50a80da3c98e · outbound
This paper cites Combining long-term recurrent convolutional and graph convolutional networks to detect phishing sites using url and html.
PhishKey: A Novel Centroid-Based Approach for Enhanced Phishing Detection Using Adaptive HTML Component Extraction Combining long-term recurrent convolutional and graph convolutional networks to detect phishing sites using url and html
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T22:39:34.754992Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 5237df86-1da0-42f1-9c25-32c3105bc3c7 · outbound
This paper cites an unresolved cited work.
PhishKey: A Novel Centroid-Based Approach for Enhanced Phishing Detection Using Adaptive HTML Component Extraction Unresolved cited work
Reference 4
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T22:39:34.608489Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 7fc24c3b-580e-40a6-9345-36586aa66cff · outbound
This paper cites A survey of intelligent detection designs of html url phishing attacks.
PhishKey: A Novel Centroid-Based Approach for Enhanced Phishing Detection Using Adaptive HTML Component Extraction A survey of intelligent detection designs of html url phishing attacks
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T22:39:34.461735Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 1b8dc0f5-f935-4ab2-98e1-d4eec055c953 · outbound
This paper cites Classifying phishing urls using recurrent neural networks, in: 2017 APWG sym- posium on electronic crime research (eCrime), IEEE.
PhishKey: A Novel Centroid-Based Approach for Enhanced Phishing Detection Using Adaptive HTML Component Extraction Classifying phishing urls using recurrent neural networks, in: 2017 APWG sym- posium on electronic crime research (eCrime), IEEE
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T22:39:34.298286Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 60bf5e05-146c-4250-b976-fb6235bdc91a · outbound
This paper cites an unresolved cited work.
PhishKey: A Novel Centroid-Based Approach for Enhanced Phishing Detection Using Adaptive HTML Component Extraction Unresolved cited work
Reference 7
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T22:39:34.155918Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation af9d0373-083d-4b90-816b-9d41bfb8ad33 · outbound
This paper cites Text Summarization Using Large Language Models: A Comparative Study of MPT-7b-instruct, Falcon-7b-instruct, and OpenAI Chat-GPT Models.
PhishKey: A Novel Centroid-Based Approach for Enhanced Phishing Detection Using Adaptive HTML Component Extraction Text Summarization Using Large Language Models: A Comparative Study of MPT-7b-instruct, Falcon-7b-instruct, and OpenAI Chat-GPT Models
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T22:39:25.708291Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9010587c-f00d-4285-816e-1ec7ab7991d0 · outbound
This paper cites Text summarization for big data analytics: a comprehensive review of gpt 2 and bert approaches.
PhishKey: A Novel Centroid-Based Approach for Enhanced Phishing Detection Using Adaptive HTML Component Extraction Text summarization for big data analytics: a comprehensive review of gpt 2 and bert approaches
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T22:39:34.013984Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 6160952a-958c-4168-a3f2-61f70a1c0a1c · outbound
This paper cites Grambeddings: a new neural network for url based identification of phishing web pages through n-gram em- beddings.
PhishKey: A Novel Centroid-Based Approach for Enhanced Phishing Detection Using Adaptive HTML Component Extraction Grambeddings: a new neural network for url based identification of phishing web pages through n-gram em- beddings
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T22:39:33.866097Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation feaa4585-00e7-4fc2-8b9d-901fdd890479 · outbound
This paper cites Phikita: Phishing kit attacks dataset for phishing websites identification.
PhishKey: A Novel Centroid-Based Approach for Enhanced Phishing Detection Using Adaptive HTML Component Extraction Phikita: Phishing kit attacks dataset for phishing websites identification
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T22:39:33.739094Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 6a8701d4-22fa-4e8f-bc9e-8863ca25fc20 · outbound
This paper cites Single document automatic text summarization using term frequency-inverse document frequency (tf-idf).
PhishKey: A Novel Centroid-Based Approach for Enhanced Phishing Detection Using Adaptive HTML Component Extraction Single document automatic text summarization using term frequency-inverse document frequency (tf-idf)
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T22:39:33.576473Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 66b1ae36-54bf-41d7-b5c0-5de0cc537d7c · outbound
This paper cites Tracking phishing attacks over time, in: Proceedings of the 26th International Conference on World Wide Web, pp.
PhishKey: A Novel Centroid-Based Approach for Enhanced Phishing Detection Using Adaptive HTML Component Extraction Tracking phishing attacks over time, in: Proceedings of the 26th International Conference on World Wide Web, pp
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T22:39:33.399841Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 673cb731-58bf-45c4-b832-ec02a7de1dcd · outbound
This paper cites A multi-layered security model to counter social engineering attacks: a learning-based approach.
PhishKey: A Novel Centroid-Based Approach for Enhanced Phishing Detection Using Adaptive HTML Component Extraction A multi-layered security model to counter social engineering attacks: a learning-based approach
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T22:39:33.197970Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 37f5bfba-d35c-4c6e-b318-66ddd5a6302a · outbound
This paper cites Internet organised crime threat assessment (iocta) 2024.
PhishKey: A Novel Centroid-Based Approach for Enhanced Phishing Detection Using Adaptive HTML Component Extraction Internet organised crime threat assessment (iocta) 2024
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T22:39:33.043917Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation cdffe046-0042-4517-8d77-f7ce27c42d54 · outbound
This paper cites Decoding the Threat Landscape : ChatGPT, FraudGPT, and WormGPT in Social Engineering Attacks.
PhishKey: A Novel Centroid-Based Approach for Enhanced Phishing Detection Using Adaptive HTML Component Extraction Decoding the Threat Landscape : ChatGPT, FraudGPT, and WormGPT in Social Engineering Attacks
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T22:39:26.411905Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3161b405-444f-499f-8e06-eeadbe86b899 · outbound
This paper cites Phishing url detection using url ranking, in: 2015 ieee international congress on big data, IEEE.
PhishKey: A Novel Centroid-Based Approach for Enhanced Phishing Detection Using Adaptive HTML Component Extraction Phishing url detection using url ranking, in: 2015 ieee international congress on big data, IEEE
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T22:39:32.869813Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 90990ddb-529b-452a-8fcd-047b3947fa42 · outbound
This paper cites Phishing activity trends report 3 quarter.
PhishKey: A Novel Centroid-Based Approach for Enhanced Phishing Detection Using Adaptive HTML Component Extraction Phishing activity trends report 3 quarter
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T22:39:32.766454Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 858d7a47-e86a-426a-baa9-e69ad3d83045 · outbound
This paper cites Cutting through the confusion: A measurement study of homograph attacks., in: USENIX Annual Technical Conference, General Track, pp.
PhishKey: A Novel Centroid-Based Approach for Enhanced Phishing Detection Using Adaptive HTML Component Extraction Cutting through the confusion: A measurement study of homograph attacks., in: USENIX Annual Technical Conference, General Track, pp
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T22:39:32.615876Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 462d23c2-5acd-4e69-a8ef-8eb903308e84 · outbound
This paper cites The state of phishing attacks.
PhishKey: A Novel Centroid-Based Approach for Enhanced Phishing Detection Using Adaptive HTML Component Extraction The state of phishing attacks
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T22:39:32.439552Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 724b69ba-95f8-4702-a851-afb388ad875e · outbound
This paper cites Phishing detection system through hybrid machine learning based on url.
PhishKey: A Novel Centroid-Based Approach for Enhanced Phishing Detection Using Adaptive HTML Component Extraction Phishing detection system through hybrid machine learning based on url
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T22:39:32.312048Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 9eed2c9d-2357-4a3c-8838-632f434a1030 · outbound
This paper cites Extractive based text summarization using k-means and tf-idf.
PhishKey: A Novel Centroid-Based Approach for Enhanced Phishing Detection Using Adaptive HTML Component Extraction Extractive based text summarization using k-means and tf-idf
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T22:39:32.176477Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 76a5b8ec-1876-47c7-b0d1-351cc10b089d · outbound
This paper cites A hybrid phishing detection system using deep learning-based url and content analysis.
PhishKey: A Novel Centroid-Based Approach for Enhanced Phishing Detection Using Adaptive HTML Component Extraction A hybrid phishing detection system using deep learning-based url and content analysis
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T22:39:32.035600Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation cbc42ee0-2932-4ca2-9470-f98c6d0f595a · outbound
This paper cites Deep neural net- work based phishing classification on a high-risk url dataset, in: International conference on soft computing and pattern recognition, Springer.
PhishKey: A Novel Centroid-Based Approach for Enhanced Phishing Detection Using Adaptive HTML Component Extraction Deep neural net- work based phishing classification on a high-risk url dataset, in: International conference on soft computing and pattern recognition, Springer
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T22:39:31.878220Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 21c1d228-8945-48fd-9d23-b58e30b2cb73 · outbound
This paper cites A stacking model using url and html features for phishing webpage detection.
PhishKey: A Novel Centroid-Based Approach for Enhanced Phishing Detection Using Adaptive HTML Component Extraction A stacking model using url and html features for phishing webpage detection
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T22:39:31.762485Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 774580f5-a1c9-4383-ae69-54d220cfd518 · outbound
This paper cites Phishstorm: Detecting phishing with streaming analytics.
PhishKey: A Novel Centroid-Based Approach for Enhanced Phishing Detection Using Adaptive HTML Component Extraction Phishstorm: Detecting phishing with streaming analytics
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T22:39:31.644369Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation da60f813-bc32-4bfd-a403-11167071644c · outbound
This paper cites an unresolved cited work.
PhishKey: A Novel Centroid-Based Approach for Enhanced Phishing Detection Using Adaptive HTML Component Extraction Unresolved cited work
Reference 27
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T22:39:31.520428Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation e2e9dab3-9da4-4906-8694-8c5f47db7449 · outbound
This paper cites Efficient Estimation of Word Representations in Vector Space.
PhishKey: A Novel Centroid-Based Approach for Enhanced Phishing Detection Using Adaptive HTML Component Extraction Efficient Estimation of Word Representations in Vector Space
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T22:39:27.420434Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 76812fe3-0316-49ba-a448-86ec668b66b9 · outbound
This paper cites Phishmon: A machine learn- ing framework for detecting phishing webpages, in: 2018 IEEE International Conference on Intelligence and Security Informatics (ISI), IEEE.
PhishKey: A Novel Centroid-Based Approach for Enhanced Phishing Detection Using Adaptive HTML Component Extraction Phishmon: A machine learn- ing framework for detecting phishing webpages, in: 2018 IEEE International Conference on Intelligence and Security Informatics (ISI), IEEE
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T22:39:31.337394Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation bdf950b4-848d-44ec-b145-3c7a8454ff5e · outbound
This paper cites Look before you leap: Detecting phishing web pages by exploiting raw url and html characteristics.
PhishKey: A Novel Centroid-Based Approach for Enhanced Phishing Detection Using Adaptive HTML Component Extraction Look before you leap: Detecting phishing web pages by exploiting raw url and html characteristics
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T22:39:31.192165Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 247cf131-654d-4345-b528-9e0756a8ea4f · outbound
This paper cites Htmlphish: Enabling phishing web page detection by applying deep learning techniques on html analysis, in: 2020 In- ternational Joint Conference on Neural Networks (IJCNN), IEEE.
PhishKey: A Novel Centroid-Based Approach for Enhanced Phishing Detection Using Adaptive HTML Component Extraction Htmlphish: Enabling phishing web page detection by applying deep learning techniques on html analysis, in: 2020 In- ternational Joint Conference on Neural Networks (IJCNN), IEEE
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T22:39:31.032864Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 29fe0f0b-3cf1-4dbc-aafd-b77752c1b88c · outbound
This paper cites Phiusiil: A diverse security profile empowered phishing url detection framework based on similarity index and incremental learning.
PhishKey: A Novel Centroid-Based Approach for Enhanced Phishing Detection Using Adaptive HTML Component Extraction Phiusiil: A diverse security profile empowered phishing url detection framework based on similarity index and incremental learning
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T22:39:30.875070Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation ebd35478-d213-42d4-8c63-e59db4e7dab3 · outbound
This paper cites Comparative assessment of extractive summariza- tion: textrank tf-idf and lda.
PhishKey: A Novel Centroid-Based Approach for Enhanced Phishing Detection Using Adaptive HTML Component Extraction Comparative assessment of extractive summariza- tion: textrank tf-idf and lda
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T22:39:30.731984Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 9cb97110-7909-404f-b5da-4c0e243985e9 · outbound
This paper cites Catchphish: detection of phishing websites by inspecting urls.
PhishKey: A Novel Centroid-Based Approach for Enhanced Phishing Detection Using Adaptive HTML Component Extraction Catchphish: detection of phishing websites by inspecting urls
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T22:39:30.587189Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 863482dd-6e9c-49db-8662-50a2fa7346df · outbound
This paper cites Centroid-based text summarization through compositionality of word embeddings.
PhishKey: A Novel Centroid-Based Approach for Enhanced Phishing Detection Using Adaptive HTML Component Extraction Centroid-based text summarization through compositionality of word embeddings
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T22:39:30.414546Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 497f9313-84be-4bf9-a5e8-05a634853ac5 · outbound
This paper cites Machine learning based phishing detection from urls.
PhishKey: A Novel Centroid-Based Approach for Enhanced Phishing Detection Using Adaptive HTML Component Extraction Machine learning based phishing detection from urls
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T22:39:30.264427Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation cb1921e2-d1ab-457b-a6e6-1d41917fe7c6 · outbound
This paper cites Dephides: Deep learning based phishing detection system.
PhishKey: A Novel Centroid-Based Approach for Enhanced Phishing Detection Using Adaptive HTML Component Extraction Dephides: Deep learning based phishing detection system
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T22:39:30.099196Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation a435d01f-5737-4bc0-ac14-00b26cc6da5d · outbound
This paper cites Phishing websites detection using a novel multipurpose dataset and web tech- nologies features.
PhishKey: A Novel Centroid-Based Approach for Enhanced Phishing Detection Using Adaptive HTML Component Extraction Phishing websites detection using a novel multipurpose dataset and web tech- nologies features
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T22:39:29.942274Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 8cf10d4d-48b4-4c57-b632-8c303dd511c1 · outbound
This paper cites an unresolved cited work.
PhishKey: A Novel Centroid-Based Approach for Enhanced Phishing Detection Using Adaptive HTML Component Extraction Unresolved cited work
Reference 39
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T22:39:29.778722Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation a9973c31-8c80-4f36-bf21-e9b0763cb354 · outbound
This paper cites Get To The Point: Summarization with Pointer-Generator Networks.
PhishKey: A Novel Centroid-Based Approach for Enhanced Phishing Detection Using Adaptive HTML Component Extraction Get To The Point: Summarization with Pointer-Generator Networks
Reference 40
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T22:39:28.689251Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6c80f41b-8fe6-4dab-aad9-b8830880e1a8 · outbound
This paper cites Http header based phishing attack detection using machine learning.
PhishKey: A Novel Centroid-Based Approach for Enhanced Phishing Detection Using Adaptive HTML Component Extraction Http header based phishing attack detection using machine learning
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T22:39:29.605531Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 52dcec4c-2366-4fa4-bcb7-a96de0a3cdbd · outbound
This paper cites Sequence level contrastive learning for text summarization, in: Proceedings of the AAAI conference on artificial intelligence, pp.
PhishKey: A Novel Centroid-Based Approach for Enhanced Phishing Detection Using Adaptive HTML Component Extraction Sequence level contrastive learning for text summarization, in: Proceedings of the AAAI conference on artificial intelligence, pp
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T22:39:29.449451Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation ed88fe27-3da2-49a7-bdd7-1dce95c4032a · outbound
This paper cites A survey on large language model (llm) security and privacy: The good, the bad, and the ugly.
PhishKey: A Novel Centroid-Based Approach for Enhanced Phishing Detection Using Adaptive HTML Component Extraction A survey on large language model (llm) security and privacy: The good, the bad, and the ugly
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T22:39:29.256881Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Pith citing papers
No inbound Pith citation observations are available.