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Paper Citation Record · LEDGER

ServeFlow: A Fast-Slow Model Architecture for Network Traffic Analysis

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2402.03694.

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

pith.paper-citation-record.v1
2402.03694 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T11:37:58.684041Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T13:45:22.122757Z

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 039117e6-0ec9-47d5-aaaf-e719ac728624 · inbound

Cruise Control: Dynamic Model Selection for ML-Based Network Traffic Analysis cites this paper.

Cruise Control: Dynamic Model Selection for ML-Based Network Traffic Analysis ServeFlow: A Fast-Slow Model Architecture for Network Traffic Analysis

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-11T11:37:58.684041Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:37:58.684041Z digest=sha256:85d8c3c8b8e71b56d51885f8a85a0936e48b46edaec5c8803f57e8135d466f78

Observation 664147f6-555a-4613-a885-553dac66eca5 · 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 ServeFlow: A Fast-Slow Model Architecture for Network Traffic Analysis

Reference 50

Resolution
verified exact
local_arxiv, observed 2026-08-05T13:45:22.179777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-05T13:45:18.944491Z digest=sha256:a8852d5c1cd7bdeee6d3942b158227c7671863bbf4fab672c90fa28d5cad0eb9