Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
AMLB: an AutoML Benchmark
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2207.12560.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T20:02:22.715909Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-20T20:03:43.690605Z
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 3b74c694-9d70-4a54-aabc-1fdda53cc4f6 · inbound
Real-TabPFN: Improving Tabular Foundation Models via Continued Pre-training With Real-World Data cites this paper.
Real-TabPFN: Improving Tabular Foundation Models via Continued Pre-training With Real-World Data AMLB: an AutoML Benchmark
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T20:02:22.715909Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fd806105-fa00-42c0-8498-182df74f00b6 · inbound
Towards Benchmarking Foundation Models for Tabular Data With Text cites this paper.
Towards Benchmarking Foundation Models for Tabular Data With Text AMLB: an AutoML Benchmark
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:36:47.491670Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d804d3ba-5ce6-4287-8a5a-51fc6a3d7f73 · inbound
AGOP-IxG: A Gradient Covariance Filter for Local Feature Attribution on Tabular Data, with a Controlled Benchmark cites this paper.
AGOP-IxG: A Gradient Covariance Filter for Local Feature Attribution on Tabular Data, with a Controlled Benchmark AMLB: an AutoML Benchmark
Reference 3
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T20:03:43.693581Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.