Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-05T23:23:45.744529Z
Paper Citation Record · LEDGER
Categorising SME Bank Transactions with Machine Learning and Synthetic Data Generation
As of 6 August 2026, this Paper Citation Record lists 2 of 2 outbound references and 1 inbound Pith citation observation for arXiv:2508.05425.
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 2026-08-06T06:34:29.942622+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-05T23:23:45.744529Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T23:23:45.828236Z
Reference resolution
2 of 2 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier2
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 17a2d2a4-70f9-4a59-880b-4c4de2d37e2a · outbound
This paper cites Cash flow lending has emerged as a promising alternative, but its effectiveness depends on accurate modelling of transaction-level data.
Categorising SME Bank Transactions with Machine Learning and Synthetic Data Generation Cash flow lending has emerged as a promising alternative, but its effectiveness depends on accurate modelling of transaction-level data
Reference 1
- Resolution
- malformed identifier
- no resolver link, observed 2026-08-05T23:23:45.645547Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c27b1731-d0c4-4885-a8cf-b5ecd97bec3e · outbound
This paper cites Categorising SME Bank Transactions with Machine Learning and Synthetic Data Generation.
Categorising SME Bank Transactions with Machine Learning and Synthetic Data Generation Categorising SME Bank Transactions with Machine Learning and Synthetic Data Generation
Reference 2025
- Resolution
- malformed identifier
- local_arxiv, observed 2026-08-05T23:23:45.891084Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Pith citing papers
Observation c27b1731-d0c4-4885-a8cf-b5ecd97bec3e · inbound
Categorising SME Bank Transactions with Machine Learning and Synthetic Data Generation cites this paper.
Categorising SME Bank Transactions with Machine Learning and Synthetic Data Generation Categorising SME Bank Transactions with Machine Learning and Synthetic Data Generation
Reference 2025
- Resolution
- malformed identifier
- local_arxiv, observed 2026-08-05T23:23:45.891084Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.