Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Anomaly Detection in Bitcoin Network Using Unsupervised Learning Methods
As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1611.03941.
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 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-14T15:05:25.898731Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-04T22:23:26.273927Z
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 492347b9-122b-4c53-9e21-9506cc6bd82f · inbound
Sabrina: Modeling and Visualization of Economy Data with Incremental Domain Knowledge cites this paper.
Sabrina: Modeling and Visualization of Economy Data with Incremental Domain Knowledge Anomaly Detection in Bitcoin Network Using Unsupervised Learning Methods
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T15:05:25.898731Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7df59385-3b41-43ef-80af-60c072e360e1 · inbound
Detecting Fraudulent Accounts on Blockchain: A Supervised Approach cites this paper.
Detecting Fraudulent Accounts on Blockchain: A Supervised Approach Anomaly Detection in Bitcoin Network Using Unsupervised Learning Methods
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T11:58:36.743418Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7e06bdfb-a6e6-494f-9769-96aa93f245a8 · inbound
Hybrid GCN-GRU Model for Anomaly Detection in Cryptocurrency Transactions cites this paper.
Hybrid GCN-GRU Model for Anomaly Detection in Cryptocurrency Transactions Anomaly Detection in Bitcoin Network Using Unsupervised Learning Methods
Reference 5
- Resolution
- verified exact
- local_arxiv, observed 2026-08-04T22:23:26.360430Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.