Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Detecting Unknown Encrypted Malicious Traffic in Real Time via Flow Interaction Graph Analysis
As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2301.13686.
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 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T13:14:23.532023Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-07T13:34:13.513188Z
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 aa148590-db46-47a2-b925-a4f21714537d · inbound
Magnifier: Detecting Network Access via Lightweight Traffic-based Fingerprints cites this paper.
Magnifier: Detecting Network Access via Lightweight Traffic-based Fingerprints Detecting Unknown Encrypted Malicious Traffic in Real Time via Flow Interaction Graph Analysis
Reference 30
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T13:14:23.532023Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d5472846-894c-420b-a038-5bb69bececf7 · inbound
M3S-UPD: Efficient Multi-Stage Self-Supervised Learning for Fine-Grained Encrypted Traffic Classification with Unknown Pattern Discovery cites this paper.
M3S-UPD: Efficient Multi-Stage Self-Supervised Learning for Fine-Grained Encrypted Traffic Classification with Unknown Pattern Discovery Detecting Unknown Encrypted Malicious Traffic in Real Time via Flow Interaction Graph Analysis
Reference 21
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T13:34:13.620069Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.