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Paper Citation Record · LEDGER

Optimizing Pretraining Data Mixtures with LLM-Estimated Utility

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2501.11747.

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

pith.paper-citation-record.v1
2501.11747 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 2026-08-07T12:19:28.566337Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-15T00:58:25.685256Z

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 37c2ea2a-7d24-4ba1-9296-5a561771ff43 · inbound

MoDoMoDo: Multi-Domain Data Mixtures for Multimodal LLM Reinforcement Learning cites this paper.

MoDoMoDo: Multi-Domain Data Mixtures for Multimodal LLM Reinforcement Learning Optimizing Pretraining Data Mixtures with LLM-Estimated Utility

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-07T12:19:28.566337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:19:28.566337Z digest=sha256:de57853d5229d7ded13def983cd03ba860866efb547ee74a578d01f6a9e76b16

Observation f76c496f-295d-4454-b69f-54f83e03bea8 · inbound

Data Mixing for Large Language Models Pretraining: A Survey and Outlook cites this paper.

Data Mixing for Large Language Models Pretraining: A Survey and Outlook Optimizing Pretraining Data Mixtures with LLM-Estimated Utility

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-15T00:58:25.686856Z

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=2026-05-15T00:56:04.958757Z digest=sha256:cf32b77257418230aa18a289d229e0abc3bed644006ea2aa22bf8dd871739cf1