Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Recent Advances in Hierarchical Multi-label Text Classification: A Survey
As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2307.16265.
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 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T20:54:13.677191Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-07T11:51:06.151604Z
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 8a45591e-37d1-4aea-8dfa-81976465ca29 · inbound
Can Large Language Models Serve as Effective Classifiers for Hierarchical Multi-Label Classification of Scientific Documents at Industrial Scale? cites this paper.
Can Large Language Models Serve as Effective Classifiers for Hierarchical Multi-Label Classification of Scientific Documents at Industrial Scale? Recent Advances in Hierarchical Multi-label Text Classification: A Survey
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T20:54:13.677191Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3fccc5d1-314a-4bdb-8776-5e5008191f95 · inbound
Your Next State-of-the-Art Could Come from Another Domain: A Cross-Domain Analysis of Hierarchical Text Classification cites this paper.
Your Next State-of-the-Art Could Come from Another Domain: A Cross-Domain Analysis of Hierarchical Text Classification Recent Advances in Hierarchical Multi-label Text Classification: A Survey
Reference 30
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T13:50:04.751291Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3b916b64-8d9a-43a0-8d01-b7cb90652792 · inbound
A Platform for Investigating Public Health Content with Efficient Concern Classification cites this paper.
A Platform for Investigating Public Health Content with Efficient Concern Classification Recent Advances in Hierarchical Multi-label Text Classification: A Survey
Reference 5
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T11:51:06.236053Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.