Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Mitigating Data Sparsity for Short Text Topic Modeling by Topic-Semantic Contrastive Learning
As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2211.12878.
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 2026-08-16T12:18:20.445695Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-11T05:38:21.968534Z
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 dd1acca9-ffba-481f-9baf-00c81507c9d3 · inbound
Enhancing Topic Interpretability for Neural Topic Modeling through Topic-wise Contrastive Learning cites this paper.
Enhancing Topic Interpretability for Neural Topic Modeling through Topic-wise Contrastive Learning Mitigating Data Sparsity for Short Text Topic Modeling by Topic-Semantic Contrastive Learning
Reference 35
- Resolution
- verified exact
- local_arxiv, observed 2026-08-11T05:38:21.973371Z
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.
Observation 2c0d03cd-4c11-4167-a622-d4f73df96518 · inbound
Aspect-Based Summarization with Self-Aspect Retrieval Enhanced Generation cites this paper.
Aspect-Based Summarization with Self-Aspect Retrieval Enhanced Generation Mitigating Data Sparsity for Short Text Topic Modeling by Topic-Semantic Contrastive Learning
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T12:18:20.445695Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.