Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Multi-Label Continual Learning for the Medical Domain: A Novel Benchmark
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2404.06859.
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 2026-08-06T21:19:30.091952Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T21:19:32.465372Z
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 8269bba3-5eef-4fc9-be6b-ef4eab4484f7 · inbound
NIRANTAR: Continual Learning with New Languages and Domains on Real-world Speech Data cites this paper.
NIRANTAR: Continual Learning with New Languages and Domains on Real-world Speech Data Multi-Label Continual Learning for the Medical Domain: A Novel Benchmark
Reference 30
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T21:19:32.513122Z
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.