Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
DEFT: Data Efficient Fine-Tuning for Pre-Trained Language Models via Unsupervised Core-Set Selection
As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2310.16776.
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 2026-08-15T22:08:53.231025Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-10T17:34:53.044975Z
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 70616070-eb42-4e8d-a74b-a2651c579779 · inbound
Improving Influence-based Instruction Tuning Data Selection for Balanced Learning of Diverse Capabilities cites this paper.
Improving Influence-based Instruction Tuning Data Selection for Balanced Learning of Diverse Capabilities DEFT: Data Efficient Fine-Tuning for Pre-Trained Language Models via Unsupervised Core-Set Selection
Reference 8
- Resolution
- verified exact
- local_arxiv, observed 2026-08-10T17:34:53.050600Z
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.
Observation ad83fe49-6eaf-4f55-a92e-1b650d63fe17 · inbound
Generalizing Large Language Model Usability Across Resource-Constrained cites this paper.
Generalizing Large Language Model Usability Across Resource-Constrained DEFT: Data Efficient Fine-Tuning for Pre-Trained Language Models via Unsupervised Core-Set Selection
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T22:08:53.231025Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.