Paper Citation Record · LEDGER

TrafficGPT: Breaking the Token Barrier for Efficient Long Traffic Analysis and Generation

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2403.05822.

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

pith.paper-citation-record.v1
2403.05822 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T17:40:32.647842Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T19:25:00.476360Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
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 ed267ece-ee9a-43eb-b5f8-fe7005e99d44 · inbound

netFound: Principled Design for Network Foundation Models cites this paper.

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 2026-08-19T06:32:44.657259+00:00.

Observation 0f88ff9e-1c86-4722-8c55-cfe2fd589a1e · inbound

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

Harnessing Generative Pre-Trained Transformer for Datacenter Packet Trace Generation TrafficGPT: Breaking the Token Barrier for Efficient Long Traffic Analysis and Generation

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-10T17:40:32.647842Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5fdde5f7-c272-41dc-af2e-459cfcce4760 · 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 TrafficGPT: Breaking the Token Barrier for Efficient Long Traffic Analysis and Generation

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-08T04:38:57.305592Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 788c205b-417f-46b6-b27a-47b2f23a6842 · inbound

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

Application of Tabular Transformer Architectures for Operating System Fingerprinting TrafficGPT: Breaking the Token Barrier for Efficient Long Traffic Analysis and Generation

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-07T22:45:10.775364Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eb01bd8b-98d9-4477-80a7-da3b85e664f7 · 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 TrafficGPT: Breaking the Token Barrier for Efficient Long Traffic Analysis and Generation

Reference 126

Resolution: verified exact; arxiv_id, observed 2026-05-19T07:27:09.059852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 01193bb5-8bfd-471d-bc14-cc4302a65cfd · 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 TrafficGPT: Breaking the Token Barrier for Efficient Long Traffic Analysis and Generation

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T19:44:20.895166Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0af14b72-a77e-443c-83a6-bf306f577e86 · inbound

Packet-Level Traffic Modeling with Heavy-Tailed Payload and Inter-Arrival Distributions for Digital Twins cites this paper.

Packet-Level Traffic Modeling with Heavy-Tailed Payload and Inter-Arrival Distributions for Digital Twins TrafficGPT: Breaking the Token Barrier for Efficient Long Traffic Analysis and Generation

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-03T15:50:19.777788Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1406b848-2277-4358-b8ef-b0b6e3cad422 · inbound

Identifying the Threshold Chain Length for Stress Overshoot in Ring-Linear Polymer Blends under Uniaxial Elongation: The Role of Multiple Threading cites this paper.

Identifying the Threshold Chain Length for Stress Overshoot in Ring-Linear Polymer Blends under Uniaxial Elongation: The Role of Multiple Threading TrafficGPT: Breaking the Token Barrier for Efficient Long Traffic Analysis and Generation

Reference 8

Resolution: unresolved; no resolver link, observed 2026-07-13T18:14:19.481313Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 95546355-87bc-44c5-b1a9-e9044eb79cf2 · inbound

Identifying the Threshold Chain Length for Stress Overshoot in Ring-Linear Polymer Blends under Uniaxial Elongation: The Role of Multiple Threading cites this paper.

Reference 8

Resolution: unresolved; no resolver link, observed 2026-07-14T20:09:08.658041Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a570190-53d8-47c0-8fdb-3fdf9286a5ef · 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 TrafficGPT: Breaking the Token Barrier for Efficient Long Traffic Analysis and Generation

Reference 12

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T19:25:00.478384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.