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Paper Citation Record · LEDGER

Importance Weighting Can Help Large Language Models Self-Improve

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2408.09849.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2408.09849 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T14:36:36.452596Z

measured 0 of 1 external citation measurements

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 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.

source=arxiv_source observed=2026-08-08T14:36:36.452596Z digest=sha256:55480fddaef10ede8d079efd8a33c233d6a7e9e887d040a5fcc9b97879c4b4cb

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T07:09:21.652035Z digest=sha256:688892c055a61c0c997d61f8d422f0a55867779d0e0965144bcf8e85efe408c3