Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Information-Theoretic Generalization Bounds for Transductive Learning and its Applications
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2311.04561.
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 2026-08-09T15:23:15.262157Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-04T23:03:54.092108Z
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 f903187d-3eb8-4909-be01-b06bc32723ec · inbound
The Capabilities and Limitations of Weak-to-Strong Generalization: Generalization and Calibration cites this paper.
The Capabilities and Limitations of Weak-to-Strong Generalization: Generalization and Calibration Information-Theoretic Generalization Bounds for Transductive Learning and its Applications
Reference 70
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T15:23:15.262157Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 24e2cd5b-9915-48b9-ab26-e626798f3b18 · inbound
Learning from one graph: transductive learning guarantees via the geometry of small random worlds cites this paper.
Learning from one graph: transductive learning guarantees via the geometry of small random worlds Information-Theoretic Generalization Bounds for Transductive Learning and its Applications
Reference 57
- Resolution
- verified exact
- local_arxiv, observed 2026-08-04T23:03:54.173785Z
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.