Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Fine-Tuning Pre-trained Language Model with Weak Supervision: A Contrastive-Regularized Self-Training Approach
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2010.07835.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-09T22:45:50.587342Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-07T12:50:36.490291Z
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 d767dd46-3d3b-4572-9b37-204b97f954dd · inbound
Fine-tuning LLaMA 2 interference: a comparative study of language implementations for optimal efficiency cites this paper.
Fine-tuning LLaMA 2 interference: a comparative study of language implementations for optimal efficiency Fine-Tuning Pre-trained Language Model with Weak Supervision: A Contrastive-Regularized Self-Training Approach
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T22:45:50.587342Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a2033f3a-b7d5-446a-bc82-09b16f5cc0bd · inbound
Calibrating Pre-trained Language Classifiers on LLM-generated Noisy Labels via Iterative Refinement cites this paper.
Calibrating Pre-trained Language Classifiers on LLM-generated Noisy Labels via Iterative Refinement Fine-Tuning Pre-trained Language Model with Weak Supervision: A Contrastive-Regularized Self-Training Approach
Reference 67
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:14:25.005972Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 07cc6510-2e6d-4b9f-a543-cf889612019a · inbound
Refining Labeling Functions with Limited Labeled Data cites this paper.
Refining Labeling Functions with Limited Labeled Data Fine-Tuning Pre-trained Language Model with Weak Supervision: A Contrastive-Regularized Self-Training Approach
Reference 32
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T12:50:36.534854Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.