Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
DONOD: Efficient and Generalizable Instruction Fine-Tuning for LLMs via Model-Intrinsic Dataset Pruning
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2504.14810.
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 2026-08-06T22:45:59.798387Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T16:45:05.316497Z
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 f74a5973-2481-495c-b184-2d85b3b3ed80 · inbound
RL-Selector: Reinforcement Learning-Guided Data Selection via Redundancy Assessment cites this paper.
RL-Selector: Reinforcement Learning-Guided Data Selection via Redundancy Assessment DONOD: Efficient and Generalizable Instruction Fine-Tuning for LLMs via Model-Intrinsic Dataset Pruning
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T22:45:59.798387Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 38e2bee1-51a8-4c3b-b766-40daccb9c408 · inbound
Multimodal-Guided Dynamic Dataset Pruning for Robust and Efficient Data-Centric Learning cites this paper.
Multimodal-Guided Dynamic Dataset Pruning for Robust and Efficient Data-Centric Learning DONOD: Efficient and Generalizable Instruction Fine-Tuning for LLMs via Model-Intrinsic Dataset Pruning
Reference 4
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T16:45:05.504927Z
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.