Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Scaling Data Diversity for Fine-Tuning Language Models in Human Alignment
As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2403.11124.
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 2026-08-12T19:14:37.048328Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-08T04:54:51.240972Z
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 086b6d6e-edb9-4462-88db-ce08ad0f4fec · inbound
BPO: Towards Balanced Preference Optimization between Knowledge Breadth and Depth in Alignment cites this paper.
BPO: Towards Balanced Preference Optimization between Knowledge Breadth and Depth in Alignment Scaling Data Diversity for Fine-Tuning Language Models in Human Alignment
Reference 36
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T19:14:37.048328Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0848e8dd-8f83-402b-b1aa-ab75de6a1eea · inbound
AIDE: Attribute-Guided MultI-Hop Data Expansion for Data Scarcity in Task-Specific Fine-tuning cites this paper.
AIDE: Attribute-Guided MultI-Hop Data Expansion for Data Scarcity in Task-Specific Fine-tuning Scaling Data Diversity for Fine-Tuning Language Models in Human Alignment
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T20:03:20.629971Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c19e820d-7ad4-4522-96b7-789df23b3d95 · inbound
Measuring Diversity in Synthetic Datasets cites this paper.
Measuring Diversity in Synthetic Datasets Scaling Data Diversity for Fine-Tuning Language Models in Human Alignment
Reference 70
- Resolution
- verified exact
- local_arxiv, observed 2026-08-08T04:54:51.246391Z
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.