Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Importance Weighting Can Help Large Language Models Self-Improve
As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2408.09849.
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 2026-08-22T06:32:14.747728+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T20:10:34.822944Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-10T07:11:53.297206Z
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 a54acb15-dc7d-41fe-9340-54c6ff277afd · inbound
Aligning Instruction Tuning with Pre-training cites this paper.
Aligning Instruction Tuning with Pre-training Importance Weighting Can Help Large Language Models Self-Improve
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T20:10:34.822944Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6c359732-9b22-4939-a8e4-d99ef841ffa8 · inbound
Dynamic Loss-Based Sample Reweighting for Improved Large Language Model Pretraining cites this paper.
Dynamic Loss-Based Sample Reweighting for Improved Large Language Model Pretraining Importance Weighting Can Help Large Language Models Self-Improve
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T14:36:36.452596Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1677e397-2b4b-4349-8cf2-88274b6876d1 · 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 Importance Weighting Can Help Large Language Models Self-Improve
Reference 17
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T07:11:53.298635Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.