Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Game-Theoretic and Machine Learning-based Approaches for Defensive Deception: A Survey
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2101.10121.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-06-28T21:39:23.262130Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-01T20:06:11.923238Z
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 3b7de68a-8bab-4018-b5a8-ae966943a24d · inbound
Passive Reconnaissance of Routing-Layer Defenses in OLSR-Based MANETs using ML cites this paper.
Passive Reconnaissance of Routing-Layer Defenses in OLSR-Based MANETs using ML Game-Theoretic and Machine Learning-based Approaches for Defensive Deception: A Survey
Reference 23
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T20:06:11.924653Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.