Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Data Diversity Matters for Robust Instruction Tuning
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2311.14736.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T13:20:17.701679Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-10T07:11:53.338683Z
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 beaf2814-5ee0-414b-8c97-7e754138cabd · inbound
ArgInstruct: Specialized Instruction Fine-Tuning for Computational Argumentation cites this paper.
ArgInstruct: Specialized Instruction Fine-Tuning for Computational Argumentation Data Diversity Matters for Robust Instruction Tuning
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:20:17.701679Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ca627d7f-b4dc-44e0-b650-d68c428947e6 · inbound
Towards Efficient and Effective Alignment of Large Language Models cites this paper.
Towards Efficient and Effective Alignment of Large Language Models Data Diversity Matters for Robust Instruction Tuning
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T04:55:34.979788Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fe34589c-4d83-417e-9a21-9bf05682d640 · inbound
A Penalty Goes a Long Way: Measuring Lexical Diversity in Synthetic Texts Under Prompt-Influenced Length Variations cites this paper.
A Penalty Goes a Long Way: Measuring Lexical Diversity in Synthetic Texts Under Prompt-Influenced Length Variations Data Diversity Matters for Robust Instruction Tuning
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T15:46:27.713592Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 11e70aca-921c-4cd2-a5e6-a2252efd57f9 · inbound
Improving Task Diversity in Label Efficient Supervised Finetuning of LLMs cites this paper.
Improving Task Diversity in Label Efficient Supervised Finetuning of LLMs Data Diversity Matters for Robust Instruction Tuning
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T12:47:43.099798Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1d68d954-624f-4960-8384-3c3d3bb82044 · inbound
Rethinking Data Curation in LLM Training: Online Reweighting Offers Better Generalization than Offline Methods cites this paper.
Rethinking Data Curation in LLM Training: Online Reweighting Offers Better Generalization than Offline Methods Data Diversity Matters for Robust Instruction Tuning
Reference 6
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T07:11:53.340014Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.