Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Unleashing the Power of Data Tsunami: A Comprehensive Survey on Data Assessment and Selection for Instruction Tuning of Language Models
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2408.02085.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T04:31:14.360627Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T12:47:45.751718Z
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 0ed18429-cc97-4c8d-8a07-a528985879f7 · inbound
Team QUST at SemEval-2025 Task 10: Evaluating Large Language Models in Multiclass Multi-label Classification of News Entity Framing cites this paper.
Team QUST at SemEval-2025 Task 10: Evaluating Large Language Models in Multiclass Multi-label Classification of News Entity Framing Unleashing the Power of Data Tsunami: A Comprehensive Survey on Data Assessment and Selection for Instruction Tuning of Language Models
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T04:31:14.360627Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dad7c16c-6a39-4ac4-98de-16b4ad4dece7 · inbound
Improving Task Diversity in Label Efficient Supervised Finetuning of LLMs cites this paper.
Improving Task Diversity in Label Efficient Supervised Finetuning of LLMs Unleashing the Power of Data Tsunami: A Comprehensive Survey on Data Assessment and Selection for Instruction Tuning of Language Models
Reference 25
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T12:47:45.791893Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 2e9fd5d5-910f-467f-a801-54427e977b73 · inbound
SFGA: A Statistics-First Gating Architecture with Adjudicative Escalation for Trustworthy SFT Data Procurement cites this paper.
SFGA: A Statistics-First Gating Architecture with Adjudicative Escalation for Trustworthy SFT Data Procurement Unleashing the Power of Data Tsunami: A Comprehensive Survey on Data Assessment and Selection for Instruction Tuning of Language Models
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T13:54:04.220890Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.