Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Pre-trained Language Models and Few-shot Learning for Medical Entity Extraction
As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2504.04385.
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 2026-08-17T06:30:58.91139+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T11:26:30.695991Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T20:54:29.954380Z
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 0581ddae-9bf6-433c-9798-e3caae979a61 · inbound
State-Aware IoT Scheduling Using Deep Q-Networks and Edge-Based Coordination cites this paper.
State-Aware IoT Scheduling Using Deep Q-Networks and Edge-Based Coordination Pre-trained Language Models and Few-shot Learning for Medical Entity Extraction
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T11:26:30.695991Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 05dd7722-f4d6-4b7a-9f98-68e61b42c4ea · inbound
Intelligent Task Scheduling for Microservices via A3C-Based Reinforcement Learning cites this paper.
Intelligent Task Scheduling for Microservices via A3C-Based Reinforcement Learning Pre-trained Language Models and Few-shot Learning for Medical Entity Extraction
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T04:49:08.704039Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cf49eefc-09c1-449a-ac80-e2a976fbca83 · inbound
Clinical NLP with Attention-Based Deep Learning for Multi-Disease Prediction cites this paper.
Clinical NLP with Attention-Based Deep Learning for Multi-Disease Prediction Pre-trained Language Models and Few-shot Learning for Medical Entity Extraction
Reference 7
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T20:54:30.021739Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.