Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Efficient Representations for High-Cardinality Categorical Variables in Machine Learning
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2501.05646.
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 2026-08-04T15:25:34.793120Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-09T06:05:34.639907Z
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 9f6cd03b-125b-4c55-bf4e-1294f9916571 · inbound
What's on My Network? Using Large Language Models to Identify Real-World IoT Devices at Scale cites this paper.
What's on My Network? Using Large Language Models to Identify Real-World IoT Devices at Scale Efficient Representations for High-Cardinality Categorical Variables in Machine Learning
Reference 42
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T15:25:34.793120Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 854c5ac2-ce29-4768-93b3-b86cf1854560 · inbound
Evaluating Tabular Representation Learning for Network Intrusion Detection cites this paper.
Evaluating Tabular Representation Learning for Network Intrusion Detection Efficient Representations for High-Cardinality Categorical Variables in Machine Learning
Reference 6
- Resolution
- verified exact
- arxiv_id, observed 2026-05-09T06:05:34.641556Z
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.