Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-24T06:44:08.893838Z
Paper Citation Record · LEDGER
netFound: Principled Design for Network Foundation Models
As of 14 August 2026, this Paper Citation Record lists 73 of 73 outbound references and 10 inbound Pith citation observations for arXiv:2310.17025.
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 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-08T04:38:57.331723Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-01T21:36:15.689323Z
Reference resolution
73 of 73 outbound references displayed
- verified exact17
- verified fuzzy52
- unresolved0
- parse uncertain0
- malformed identifier2
- metadata mismatch2
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 829a4482-d643-4b46-b6ef-e28d7e441647 · outbound
This paper cites On the effectiveness of machine and deep learning for cyber security.
netFound: Principled Design for Network Foundation Models On the effectiveness of machine and deep learning for cyber security
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T06:46:04.152194Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation c900f29a-2ae7-4882-85a2-13ad4c044d96 · outbound
This paper cites A survey on machine learning techniques for cyber security in the last decade.
netFound: Principled Design for Network Foundation Models A survey on machine learning techniques for cyber security in the last decade
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T06:46:04.128517Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 124a5f62-6b88-4e69-832e-28743fe42ef6 · outbound
This paper cites Outside the closed world: On using machine learning for network intrusion detection.
netFound: Principled Design for Network Foundation Models Outside the closed world: On using machine learning for network intrusion detection
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T06:46:04.285930Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 97562648-f251-423b-b6b9-903f7d783148 · outbound
This paper cites Underspecification presents challenges for credibility in modern machine learning.
netFound: Principled Design for Network Foundation Models Underspecification presents challenges for credibility in modern machine learning
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T06:46:04.278191Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation f569f98a-93ea-4731-86ff-a50d36310c07 · outbound
This paper cites In search of netunicorn: A data-collection platform to develop generalizable ml models for network security problems.
netFound: Principled Design for Network Foundation Models In search of netunicorn: A data-collection platform to develop generalizable ml models for network security problems
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T06:46:04.132580Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation e501519e-a30f-4965-9280-ea4d2937547f · outbound
This paper cites A look behind the curtain: Traffic classification in an increasingly encrypted web.
netFound: Principled Design for Network Foundation Models A look behind the curtain: Traffic classification in an increasingly encrypted web
Reference 6
- Resolution
- verified exact
- doi, observed 2026-05-24T06:46:02.913851Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 907e12f7-745b-4c42-9e64-97faea34d5e4 · outbound
This paper cites Ac-dc: Adaptive ensemble classification for network traffic identifi- cation.
netFound: Principled Design for Network Foundation Models Ac-dc: Adaptive ensemble classification for network traffic identifi- cation
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T06:46:04.199217Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 9f8e21b8-c1ff-4a03-af9d-dcfb21875213 · outbound
This paper cites Fine-grained TLS services classification with reject option.
netFound: Principled Design for Network Foundation Models Fine-grained TLS services classification with reject option
Reference 8
- Resolution
- verified exact
- arxiv_id, observed 2026-05-24T06:46:03.082872Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation b3272db4-ef1a-4450-9e43-6747403d375a · outbound
This paper cites Error prevalence in nids datasets: A case study on cic-ids-2017 and cse- cic-ids-2018.
netFound: Principled Design for Network Foundation Models Error prevalence in nids datasets: A case study on cic-ids-2017 and cse- cic-ids-2018
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T06:46:04.100949Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 53a831c4-28e2-41a0-b37c-fd377ffad561 · outbound
This paper cites Ai/ml for network security: The emperor has no clothes.
netFound: Principled Design for Network Foundation Models Ai/ml for network security: The emperor has no clothes
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T06:46:04.306165Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation bd6abbc8-b093-4915-a684-c94e8740c533 · outbound
This paper cites Dos and don’ts of machine learning in computer security.
netFound: Principled Design for Network Foundation Models Dos and don’ts of machine learning in computer security
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T06:46:04.310281Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation f4cc008b-28af-4091-af99-f4675cbe2b20 · outbound
This paper cites A comprehensive survey on pretrained foundation models: A history from bert to chatgpt.
netFound: Principled Design for Network Foundation Models A comprehensive survey on pretrained foundation models: A history from bert to chatgpt
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T06:46:04.257419Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation c9a5524e-541c-4bba-80c6-b49972a053ef · outbound
This paper cites Gpt-4 technical report.
netFound: Principled Design for Network Foundation Models Gpt-4 technical report
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T06:46:04.245652Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 9d911c13-8386-4a24-9524-f3b778117300 · outbound
This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.
netFound: Principled Design for Network Foundation Models BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Reference 14
- Resolution
- verified exact
- local_arxiv, observed 2026-05-24T06:46:03.053040Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 808d9ca8-322a-4132-b6f1-44b1c8fe3885 · outbound
This paper cites ViTAS: Vision Transformer Architecture Search.
netFound: Principled Design for Network Foundation Models ViTAS: Vision Transformer Architecture Search
Reference 15
- Resolution
- verified exact
- arxiv_id, observed 2026-05-24T06:46:03.029229Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 0d22f148-65b7-4d74-873f-5f316c655b43 · outbound
This paper cites Pinot: Programmable infrastructure for networking.
netFound: Principled Design for Network Foundation Models Pinot: Programmable infrastructure for networking
Reference 16
- Resolution
- verified exact
- arxiv_id, observed 2026-05-24T06:46:02.957016Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 274a2faf-6d2b-442f-8d26-c771365ed39f · outbound
This paper cites Experience-driven research on programmable networks.
netFound: Principled Design for Network Foundation Models Experience-driven research on programmable networks
Reference 17
- Resolution
- verified exact
- arxiv_id, observed 2026-05-24T06:46:02.942795Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 91293270-3cac-47df-8f31-f38ba4ef794c · outbound
This paper cites Et-bert: A contextualized datagram representation with pre-training transformers for encrypted traffic classification.
netFound: Principled Design for Network Foundation Models Et-bert: A contextualized datagram representation with pre-training transformers for encrypted traffic classification
Reference 18
- Resolution
- verified exact
- arxiv_id, observed 2026-05-24T06:46:02.901051Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation b07e8445-ca64-4df7-826b-45f4b4ea8a7c · outbound
This paper cites Yet another traffic classifier: A masked autoencoder based traffic transformer with multi-level flow representation.
netFound: Principled Design for Network Foundation Models Yet another traffic classifier: A masked autoencoder based traffic transformer with multi-level flow representation
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T06:46:04.249463Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation b2ba428e-6d7b-490a-8838-0b535bdbac30 · outbound
This paper cites Multi- classification approaches for classifying mobile app traffic.
netFound: Principled Design for Network Foundation Models Multi- classification approaches for classifying mobile app traffic
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T06:46:04.234777Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 07068dda-a71a-435b-8a67-85267a38bfc5 · outbound
This paper cites FlowPrint: Semi-Supervised Mobile-App Fingerprinting on Encrypted Network Traffic.
netFound: Principled Design for Network Foundation Models FlowPrint: Semi-Supervised Mobile-App Fingerprinting on Encrypted Network Traffic
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T06:46:04.238329Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation c1f50039-72c7-4732-929b-21f6d9f7a61a · outbound
This paper cites A survey on encrypted network traffic analysis applications, techniques, and countermeasures.
netFound: Principled Design for Network Foundation Models A survey on encrypted network traffic analysis applications, techniques, and countermeasures
Reference 22
- Resolution
- verified exact
- doi, observed 2026-05-24T06:46:02.922846Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 0e874e3e-549e-4ba1-a55f-28fb2c52be61 · outbound
This paper cites End-to-end en- crypted traffic classification with one-dimensional convolution neural networks.
netFound: Principled Design for Network Foundation Models End-to-end en- crypted traffic classification with one-dimensional convolution neural networks
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T06:46:04.226648Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 7e0b7ac0-818b-4d04-abf9-ce769f744f21 · outbound
This paper cites Characterization of tor traffic using time based features.
netFound: Principled Design for Network Foundation Models Characterization of tor traffic using time based features
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T06:46:04.222375Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation c4c3e8cd-19ad-4ec6-b184-7061edfce1bb · outbound
This paper cites Flag: Flow representation generator based on self-supervised learning for encrypted traffic classification.
netFound: Principled Design for Network Foundation Models Flag: Flow representation generator based on self-supervised learning for encrypted traffic classification
Reference 25
- Resolution
- verified exact
- arxiv_id, observed 2026-05-24T06:46:02.950448Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 6a0d4f2d-645a-450f-a82d-0cfc34fc6dc2 · outbound
This paper cites Feature Extraction for Novelty Detection in Network Traffic.
netFound: Principled Design for Network Foundation Models Feature Extraction for Novelty Detection in Network Traffic
Reference 26
- Resolution
- verified exact
- arxiv_id, observed 2026-05-24T06:46:03.088421Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 7e04bb7a-21c0-4fe7-8cfc-dd3dea2c1c69 · outbound
This paper cites New directions in automated traffic analysis.
netFound: Principled Design for Network Foundation Models New directions in automated traffic analysis
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T06:46:04.241854Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation e2f9e5ac-d49e-4d95-9438-3fbf2f8a7f30 · outbound
This paper cites Deep-full-range: A deep learning based network encrypted traffic classification and intrusion detection framework.
netFound: Principled Design for Network Foundation Models Deep-full-range: A deep learning based network encrypted traffic classification and intrusion detection framework
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T06:46:04.265108Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 0dc212a3-dca7-4ab3-87df-662547a47a10 · outbound
This paper cites Kitsune: An ensemble of autoencoders for online network intrusion detection.
netFound: Principled Design for Network Foundation Models Kitsune: An ensemble of autoencoders for online network intrusion detection
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T06:46:04.293407Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 9451b50e-3cc2-49e3-ae44-e6a542c041fb · outbound
This paper cites Machine learning for botnet detection: An optimized feature selection approach.
netFound: Principled Design for Network Foundation Models Machine learning for botnet detection: An optimized feature selection approach
Reference 30
- Resolution
- verified exact
- arxiv_id, observed 2026-05-24T06:46:02.909585Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 88a5e5e8-7b1f-4ced-9fb0-ef4901dab6d9 · outbound
This paper cites A survey on data-driven software vulnerability assessment and prioritization.
netFound: Principled Design for Network Foundation Models A survey on data-driven software vulnerability assessment and prioritization
Reference 31
- Resolution
- verified exact
- doi, observed 2026-05-24T06:46:02.918118Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 38cf42fd-c0c6-4323-a6ac-2bcdce7e5dde · outbound
This paper cites Network traffic classifier with convolutional and recurrent neural networks for internet of things.
netFound: Principled Design for Network Foundation Models Network traffic classifier with convolutional and recurrent neural networks for internet of things
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T06:46:04.208274Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation d90d61e7-84eb-47d5-bc7d-5f413765ff00 · outbound
This paper cites Flowpic: Encrypted internet traffic classifi- cation is as easy as image recognition.
netFound: Principled Design for Network Foundation Models Flowpic: Encrypted internet traffic classifi- cation is as easy as image recognition
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T06:46:04.212143Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation bb04e35e-3e76-44e9-b844-3c7381175144 · outbound
This paper cites A neural attention model for real-time network intrusion detection.
netFound: Principled Design for Network Foundation Models A neural attention model for real-time network intrusion detection
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T06:46:04.216728Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 5beb3b66-2901-4754-952d-65cdd788eed0 · outbound
This paper cites Deep packet: A novel approach for encrypted traffic classification using deep learning.
netFound: Principled Design for Network Foundation Models Deep packet: A novel approach for encrypted traffic classification using deep learning
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T06:46:04.230549Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation d6c2cf2a-8bc6-4344-9c21-9a0b8475f409 · outbound
This paper cites Large-scale mobile app iden- tification using deep learning.
netFound: Principled Design for Network Foundation Models Large-scale mobile app iden- tification using deep learning
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T06:46:04.194765Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation bf2dd5a8-f506-419a-9a9c-1787563c991e · outbound
This paper cites Encrypted network traffic classification using deep and parallel network-in- network models.
netFound: Principled Design for Network Foundation Models Encrypted network traffic classification using deep and parallel network-in- network models
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T06:46:04.253657Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation f4d1e9af-123b-4da3-8c2d-c1109f4d6e59 · outbound
This paper cites Byte segment neural network for network traffic classification.
netFound: Principled Design for Network Foundation Models Byte segment neural network for network traffic classification
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T06:46:04.170493Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 05aeaebd-1596-42a5-8bfa-f48874ae2994 · outbound
This paper cites Mt-flowformer: A semi-supervised flow transformer for encrypted traffic classification.
netFound: Principled Design for Network Foundation Models Mt-flowformer: A semi-supervised flow transformer for encrypted traffic classification
Reference 39
- Resolution
- malformed identifier
- arxiv_id, observed 2026-05-24T06:46:03.035922Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation f651c172-9407-4d15-be37-228e7a5f5a8c · outbound
This paper cites Inferring streaming video quality from encrypted traffic: Practical models and deployment experience.
netFound: Principled Design for Network Foundation Models Inferring streaming video quality from encrypted traffic: Practical models and deployment experience
Reference 40
- Resolution
- verified exact
- doi, observed 2026-05-24T06:46:02.934711Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation c8c765bf-b8fe-4988-8951-13348d67fb9f · outbound
This paper cites Privateeye: Scalable and privacy-preserving compro- mise detection in the cloud.
netFound: Principled Design for Network Foundation Models Privateeye: Scalable and privacy-preserving compro- mise detection in the cloud
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T06:46:04.163179Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation fec19500-8628-4c52-a163-2532ff313a9f · outbound
This paper cites Pert: Payload encoding representation from transformer for encrypted traffic classification.
netFound: Principled Design for Network Foundation Models Pert: Payload encoding representation from transformer for encrypted traffic classification
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T06:46:04.203044Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 43eacef3-4c1f-41a2-be4b-1660b4c719ad · outbound
This paper cites Flow-mae: Leveraging masked autoencoder for accurate, efficient and robust malicious traffic classification.
netFound: Principled Design for Network Foundation Models Flow-mae: Leveraging masked autoencoder for accurate, efficient and robust malicious traffic classification
Reference 43
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-24T06:46:03.068351Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 347ea076-037d-4ac6-b425-734dcf9a7fc8 · outbound
This paper cites Mtsecurity: Privacy-preserving malicious traffic classification using graph neural network and transformer.
netFound: Principled Design for Network Foundation Models Mtsecurity: Privacy-preserving malicious traffic classification using graph neural network and transformer
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T06:46:04.148053Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation ed267ece-ee9a-43eb-b5f8-fe7005e99d44 · outbound
This paper cites TrafficGPT: Breaking the Token Barrier for Efficient Long Traffic Analysis and Generation.
netFound: Principled Design for Network Foundation Models TrafficGPT: Breaking the Token Barrier for Efficient Long Traffic Analysis and Generation
Reference 45
- Resolution
- verified exact
- arxiv_id, observed 2026-05-24T06:46:03.059060Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation f2e0b519-0228-40b4-87ec-7547f1ba6100 · outbound
This paper cites Lens: A foundation model for network traffic in cyberse- curity.
netFound: Principled Design for Network Foundation Models Lens: A foundation model for network traffic in cyberse- curity
Reference 46
- Resolution
- verified exact
- arxiv_id, observed 2026-05-24T06:46:03.076565Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 31fee4be-f293-4c50-9d1c-3bbdd5869b58 · outbound
This paper cites An image is worth 16x16 words: Transformers for image recognition at scale.
netFound: Principled Design for Network Foundation Models An image is worth 16x16 words: Transformers for image recognition at scale
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T06:46:04.261393Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation e34c49f7-aa85-499c-92ed-c23a97a4de6d · outbound
This paper cites Masked autoencoders are scalable vision learners.
netFound: Principled Design for Network Foundation Models Masked autoencoders are scalable vision learners
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T06:46:04.269168Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation f832b0cd-1693-4b21-8d7c-41d141f7caad · outbound
This paper cites Auto-encoding variational bayes.
netFound: Principled Design for Network Foundation Models Auto-encoding variational bayes
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T06:46:04.144168Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 564df316-852e-419e-9d76-71182e3d389a · outbound
This paper cites Generative adversarial networks.
netFound: Principled Design for Network Foundation Models Generative adversarial networks
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T06:46:04.155777Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 8783d23e-013b-4e1c-8097-603f308b8db3 · outbound
This paper cites Long-short transformer: Efficient transformers for language and vision.
netFound: Principled Design for Network Foundation Models Long-short transformer: Efficient transformers for language and vision
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T06:46:04.274330Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 3ccc080a-632f-4184-9756-9d89e6425993 · outbound
This paper cites Hier- archical attention networks for document classification.
netFound: Principled Design for Network Foundation Models Hier- archical attention networks for document classification
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T06:46:04.124968Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 5fa1542d-7cd5-4f3d-beb2-1cf8b61f62d4 · outbound
This paper cites Deepvsa: Facili- tating value-set analysis with deep learning for postmortem program analysis.
netFound: Principled Design for Network Foundation Models Deepvsa: Facili- tating value-set analysis with deep learning for postmortem program analysis
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T06:46:04.136840Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation c4b118cf-22b6-4d6e-871c-e0faed60baf7 · outbound
This paper cites Hierarchical transformers are more efficient language models.
netFound: Principled Design for Network Foundation Models Hierarchical transformers are more efficient language models
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T06:46:04.116073Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation ffe5f9f5-39b3-4c09-9119-5fd029f0eff5 · outbound
This paper cites Word embeddings: A survey.
netFound: Principled Design for Network Foundation Models Word embeddings: A survey
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T06:46:04.281945Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 76b67c9c-1aff-44d3-8277-3fc64a744454 · outbound
This paper cites Attention is all you need.
netFound: Principled Design for Network Foundation Models Attention is all you need
Reference 56
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T06:46:04.112192Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 51a517b5-8a30-49e2-a8d4-5410898bc2b8 · outbound
This paper cites Should you mask 15% in masked language modeling?.
netFound: Principled Design for Network Foundation Models Should you mask 15% in masked language modeling?
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T06:46:04.121271Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 2db93168-e75c-4310-bef8-f727a356ae9b · outbound
This paper cites Adam: A Method for Stochastic Optimization.
netFound: Principled Design for Network Foundation Models Adam: A Method for Stochastic Optimization
Reference 58
- Resolution
- verified exact
- local_arxiv, observed 2026-05-24T06:46:03.046487Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 7608eb25-8842-4088-aa25-1d590092a2e7 · outbound
This paper cites Flowprint: Semi-supervised mobile-app fingerprinting on encrypted network traffic.
netFound: Principled Design for Network Foundation Models Flowprint: Semi-supervised mobile-app fingerprinting on encrypted network traffic
Reference 59
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T06:46:04.140738Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 3fa2058b-9324-45f4-8d9a-de1f1855aba6 · outbound
This paper cites Characterization of encrypted and vpn traffic using time-related fea- tures.
netFound: Principled Design for Network Foundation Models Characterization of encrypted and vpn traffic using time-related fea- tures
Reference 60
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T06:46:04.159565Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 19e5e24b-4d38-4444-9bea-dcd55ec2845f · outbound
This paper cites Toward gen- erating a new intrusion detection dataset and intrusion traffic char- acterization.
netFound: Principled Design for Network Foundation Models Toward gen- erating a new intrusion detection dataset and intrusion traffic char- acterization
Reference 61
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T06:46:04.108253Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 631658d1-2e7f-49aa-890f-4a7dc51f406d · outbound
This paper cites Patator.
netFound: Principled Design for Network Foundation Models Patator
Reference 62
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T06:46:04.289426Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 4f48b54e-41d9-41a0-bf5d-ceaf4d7a779b · outbound
This paper cites Random decision forests.
netFound: Principled Design for Network Foundation Models Random decision forests
Reference 63
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T06:46:04.097191Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 95dc56ae-234c-4755-87a6-a143a72b76ef · outbound
This paper cites Support-vector networks.
netFound: Principled Design for Network Foundation Models Support-vector networks
Reference 64
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T06:46:04.298687Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation dc14b8b1-5c90-4c5d-920d-d79ca03c1c1a · outbound
This paper cites The probable error of a mean.
netFound: Principled Design for Network Foundation Models The probable error of a mean
Reference 65
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T06:46:04.089888Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 1701dc50-809a-449f-8059-0d6e1614686e · outbound
This paper cites From grim reality to practical solution: Malware classification in real-world noise.
netFound: Principled Design for Network Foundation Models From grim reality to practical solution: Malware classification in real-world noise
Reference 66
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T06:46:04.093871Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 09788a74-7a0a-400d-9f5f-7cca8db39e96 · outbound
This paper cites Longformer: The long- document transformer.
netFound: Principled Design for Network Foundation Models Longformer: The long- document transformer
Reference 67
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T06:46:04.104442Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 109e9481-4406-49b6-87c7-5d131f39957d · outbound
This paper cites A survey on advanced persistent threats: Techniques, solutions, challenges, and research opportunities.
netFound: Principled Design for Network Foundation Models A survey on advanced persistent threats: Techniques, solutions, challenges, and research opportunities
Reference 68
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T06:46:04.082884Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation a4bb0c86-d6e5-4b6f-9aa4-467afec51052 · outbound
This paper cites Deep metric learning: A survey.
netFound: Principled Design for Network Foundation Models Deep metric learning: A survey
Reference 69
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T06:46:04.086386Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation f85af1b0-632c-49d2-9425-622eb803c768 · outbound
This paper cites LoRA: Low-Rank Adaptation of Large Language Models.
netFound: Principled Design for Network Foundation Models LoRA: Low-Rank Adaptation of Large Language Models
Reference 70
- Resolution
- verified exact
- local_arxiv, observed 2026-05-24T06:46:03.041223Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 4714199c-12f0-4b06-af48-e043823682b0 · outbound
This paper cites A new hope for network model generalization.
netFound: Principled Design for Network Foundation Models A new hope for network model generalization
Reference 71
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-24T06:46:02.929701Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 3b35d155-502d-4998-bb35-52b667e09fa0 · outbound
This paper cites Towards transferable adversarial attacks on vision transformers.
netFound: Principled Design for Network Foundation Models Towards transferable adversarial attacks on vision transformers
Reference 72
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T06:46:04.302381Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 0199b29d-6602-4a1e-b345-c0f2aaf57aca · outbound
This paper cites Adversarial attack and defense technologies in natural language processing: A survey.
netFound: Principled Design for Network Foundation Models Adversarial attack and defense technologies in natural language processing: A survey
Reference 73
- Resolution
- malformed identifier
- raw_fallback, observed 2026-05-24T06:46:04.314311Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Pith citing papers
Observation f9ac2cc3-6c00-4737-b700-867024c83408 · inbound
Mapping the Landscape of Generative AI in Network Monitoring and Management cites this paper.
Mapping the Landscape of Generative AI in Network Monitoring and Management netFound: Principled Design for Network Foundation Models
Reference 85
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T04:38:57.331723Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9918374d-f091-452b-b6b2-e5e934910553 · inbound
Application of Tabular Transformer Architectures for Operating System Fingerprinting cites this paper.
Application of Tabular Transformer Architectures for Operating System Fingerprinting netFound: Principled Design for Network Foundation Models
Reference 57
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T22:45:10.768048Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3a6130c1-3c0c-49c9-814b-d3426c9cc8c7 · inbound
Zero-Trust Foundation Models: A New Paradigm for Secure and Collaborative Artificial Intelligence for Internet of Things cites this paper.
Zero-Trust Foundation Models: A New Paradigm for Secure and Collaborative Artificial Intelligence for Internet of Things netFound: Principled Design for Network Foundation Models
Reference 45
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:14:55.018899Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6386d368-1701-4e82-a095-dba2edfee3de · inbound
One task to rule them all: A closer look at traffic classification generalizability cites this paper.
One task to rule them all: A closer look at traffic classification generalizability netFound: Principled Design for Network Foundation Models
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:08:50.096673Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c4689f56-5015-47fe-a1ab-3c2ba5f0a54a · inbound
The Sweet Danger of Sugar: Debunking Representation Learning for Encrypted Traffic Classification cites this paper.
The Sweet Danger of Sugar: Debunking Representation Learning for Encrypted Traffic Classification netFound: Principled Design for Network Foundation Models
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T15:15:12.778603Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 27f123ae-f313-4594-99e7-18a3075eacae · inbound
SpliDT: Partitioned Decision Trees for Scalable Stateful Inference at Line Rate cites this paper.
SpliDT: Partitioned Decision Trees for Scalable Stateful Inference at Line Rate netFound: Principled Design for Network Foundation Models
Reference 35
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T13:45:17.761178Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 500e0336-97fd-4877-8917-2395c713c6bd · inbound
TraceCodec: A Compiler-Backed Neural Codec for Stateful Multi-Flow Network Traffic Traces cites this paper.
TraceCodec: A Compiler-Backed Neural Codec for Stateful Multi-Flow Network Traffic Traces netFound: Principled Design for Network Foundation Models
Reference 10
- Resolution
- verified exact
- local_arxiv, observed 2026-07-01T19:06:03.379501Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation b6b63d6d-c96c-485b-9368-a457f28d2447 · inbound
NetVAD: Foundation-Model Representation Learning for Identifier-Free Unsupervised Intrusion Detection cites this paper.
NetVAD: Foundation-Model Representation Learning for Identifier-Free Unsupervised Intrusion Detection netFound: Principled Design for Network Foundation Models
Reference 1
- Resolution
- verified exact
- local_arxiv, observed 2026-07-01T21:36:15.690720Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation b7e9cbf0-6d64-490a-b9b8-af1f7b046aeb · inbound
NetVAD: Foundation-Model Representation Learning for Identifier-Free Unsupervised Intrusion Detection cites this paper.
NetVAD: Foundation-Model Representation Learning for Identifier-Free Unsupervised Intrusion Detection netFound: Principled Design for Network Foundation Models
Reference 1
- Resolution
- verified exact
- local_arxiv, observed 2026-07-01T08:45:35.397949Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 8e622496-6573-4e7a-8b47-7aeda4bc4452 · inbound
CENTILE: A Telemetry Foundation Model Evaluated by the Decisions It Drives cites this paper.
CENTILE: A Telemetry Foundation Model Evaluated by the Decisions It Drives netFound: Principled Design for Network Foundation Models
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T22:11:24.970681Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.