Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
DELIFT: Data Efficient Language model Instruction Fine Tuning
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2411.04425.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T11:59:52.147629Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-16T11:55:51.059970Z
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 969106d5-29e1-48b0-b99b-bd2bbdaf0bc9 · inbound
Small Language Models are the Future of Agentic AI cites this paper.
Small Language Models are the Future of Agentic AI DELIFT: Data Efficient Language model Instruction Fine Tuning
Reference 5
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T11:55:51.062240Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 7cccc167-9e29-4ab5-bfb1-bc9ddb9eec1b · inbound
Using Scaling Laws for Data Source Utility Estimation in Domain-Specific Pre-Training cites this paper.
Using Scaling Laws for Data Source Utility Estimation in Domain-Specific Pre-Training DELIFT: Data Efficient Language model Instruction Fine Tuning
Reference 2025
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T11:59:52.147629Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 753f4058-8c3a-495e-a0e4-80371dfd32f8 · inbound
Submodular Ground-Set Pruning: Monotone Tightness and a Non-Monotone Separation cites this paper.
Submodular Ground-Set Pruning: Monotone Tightness and a Non-Monotone Separation DELIFT: Data Efficient Language model Instruction Fine Tuning
Reference 23
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T17:36:04.779342Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.