Paper Citation Record · LEDGER

NetGPT: Generative Pretrained Transformer for Network Traffic

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 16 inbound Pith citation observations for arXiv:2304.09513.

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

pith.paper-citation-record.v1
2304.09513 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 16 of 16 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T17:40:32.642903Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T06:06:41.324990Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
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malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 87a7f48a-759a-44f6-afc6-e38304bb0c54 · inbound

Harnessing Generative Pre-Trained Transformer for Datacenter Packet Trace Generation cites this paper.

Harnessing Generative Pre-Trained Transformer for Datacenter Packet Trace Generation NetGPT: Generative Pretrained Transformer for Network Traffic

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-10T17:40:32.642903Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5077bc82-cbdf-42ce-9df5-2a8a5a629cbe · 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 NetGPT: Generative Pretrained Transformer for Network Traffic

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-08T04:38:57.208624Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 31a38dd6-9660-411f-b11a-1f2348fb634c · inbound

Application of Tabular Transformer Architectures for Operating System Fingerprinting cites this paper.

Application of Tabular Transformer Architectures for Operating System Fingerprinting NetGPT: Generative Pretrained Transformer for Network Traffic

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-07T22:45:10.784054Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6681665d-43d0-4fe3-ba16-c8d2f6952de3 · inbound

TraGe: A Generic Packet Representation for Traffic Classification Based on Header-Payload Differences cites this paper.

TraGe: A Generic Packet Representation for Traffic Classification Based on Header-Payload Differences NetGPT: Generative Pretrained Transformer for Network Traffic

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T00:22:17.176609Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 623ab7e6-072c-40ea-ad1e-d7d734a9d242 · inbound

A Comprehensive Survey on Network Traffic Synthesis: From Statistical Models to Deep Learning cites this paper.

A Comprehensive Survey on Network Traffic Synthesis: From Statistical Models to Deep Learning NetGPT: Generative Pretrained Transformer for Network Traffic

Reference 99

Resolution: verified exact; arxiv_id, observed 2026-05-19T07:27:09.073742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2f26eefb-8fab-4189-a060-8e8debd3f8b6 · inbound

Large Language Models for Network Intrusion Detection Systems: Foundations, Implementations, and Future Directions cites this paper.

Large Language Models for Network Intrusion Detection Systems: Foundations, Implementations, and Future Directions NetGPT: Generative Pretrained Transformer for Network Traffic

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T19:44:20.886074Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d2ad6646-0cf0-4f84-bab7-274c10935b28 · inbound

Versatile yet Efficient Network Traffic Analysis: Offloading Network Foundation Model to SmartNIC cites this paper.

Versatile yet Efficient Network Traffic Analysis: Offloading Network Foundation Model to SmartNIC NetGPT: Generative Pretrained Transformer for Network Traffic

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-19T01:32:55.535518Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7fafe42b-5f3f-49bc-91e3-a92377aedfbd · inbound

Traffic-MoE: A Sparse Foundation Model for Network Traffic Security Analysis cites this paper.

Traffic-MoE: A Sparse Foundation Model for Network Traffic Security Analysis NetGPT: Generative Pretrained Transformer for Network Traffic

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-03T13:09:22.289437Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db29dd6b-a507-486c-91aa-421702930d2d · inbound

Improving DNS Exfiltration Detection via Transformer Pretraining cites this paper.

Improving DNS Exfiltration Detection via Transformer Pretraining NetGPT: Generative Pretrained Transformer for Network Traffic

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-11T06:05:58.985263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b3ac329a-d3a8-470c-b1c0-d9e0a6fedd0f · inbound

MambaNetBurst: Direct Byte-level Network Traffic Classification without Tokenization or Pretraining cites this paper.

MambaNetBurst: Direct Byte-level Network Traffic Classification without Tokenization or Pretraining NetGPT: Generative Pretrained Transformer for Network Traffic

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-13T00:57:00.476942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c8284fa1-55f6-470c-baac-2f6e93b78d1b · inbound

UniAlign: A Model-Agnostic Framework for Robust Network Traffic Classification under Distribution Shifts cites this paper.

UniAlign: A Model-Agnostic Framework for Robust Network Traffic Classification under Distribution Shifts NetGPT: Generative Pretrained Transformer for Network Traffic

Reference 71

Resolution: verified exact; arxiv_id, observed 2026-05-20T13:33:18.948957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 093187ea-0767-4378-abb1-4d1cf803593d · 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 NetGPT: Generative Pretrained Transformer for Network Traffic

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-07-01T21:36:15.684645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 109516d8-8757-4017-98cf-6b61f4558474 · 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 NetGPT: Generative Pretrained Transformer for Network Traffic

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-07-01T08:45:35.389128Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9679a63b-344c-48b4-a4f5-ab0f8659f993 · inbound

Contrastive Learning and Correlation Clustering for Sequences of Network Telescope Data cites this paper.

Contrastive Learning and Correlation Clustering for Sequences of Network Telescope Data NetGPT: Generative Pretrained Transformer for Network Traffic

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-07-02T06:06:41.326458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation fb783d59-082d-41b5-8590-2f93ce737da5 · inbound

Protocol-Aware Tokenization and Architecture Co-Design for Wireless Packet Foundation Models cites this paper.

Protocol-Aware Tokenization and Architecture Co-Design for Wireless Packet Foundation Models NetGPT: Generative Pretrained Transformer for Network Traffic

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-06-30T19:25:00.496386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ce90ecff-fcc4-4bf7-bd97-f964ed14db3a · 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 NetGPT: Generative Pretrained Transformer for Network Traffic

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-04T22:11:25.056946Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.