Paper Citation Record · LEDGER

QuaDMix: Quality-Diversity Balanced Data Selection for Efficient LLM Pretraining

As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2504.16511.

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

pith.paper-citation-record.v1
2504.16511 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-31T12:45:04.789254Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T16:48:39.391752Z

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 3b319f6d-5ca3-4aa1-897a-89221e9f7c32 · 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 QuaDMix: Quality-Diversity Balanced Data Selection for Efficient LLM Pretraining

Reference 79

Resolution: verified exact; arxiv_id, observed 2026-05-15T00:58:25.666412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 810dd919-b834-4c7b-aa5e-a33660d5f189 · inbound

InfoLaw: Information Scaling Laws for Large Language Models with Quality-Weighted Mixture Data and Repetition cites this paper.

InfoLaw: Information Scaling Laws for Large Language Models with Quality-Weighted Mixture Data and Repetition QuaDMix: Quality-Diversity Balanced Data Selection for Efficient LLM Pretraining

Reference 42

Resolution: metadata mismatch; arxiv_id, observed 2026-05-09T06:15:37.219533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation d5e2a428-68bd-4552-ac55-1b37d70192f8 · inbound

HERMES: A Multi-Granularity Labeling Substrate for Pre-training Data Mixtures cites this paper.

HERMES: A Multi-Granularity Labeling Substrate for Pre-training Data Mixtures QuaDMix: Quality-Diversity Balanced Data Selection for Efficient LLM Pretraining

Reference 50

Resolution: verified exact; arxiv_id, observed 2026-07-03T16:48:39.393155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 85ef347f-29e8-45c7-84c1-9e86482d7926 · inbound

DecoupleMix: Decoupled Ratio Search and Convex Allocation for Scalable VLM Data Recipes cites this paper.

DecoupleMix: Decoupled Ratio Search and Convex Allocation for Scalable VLM Data Recipes QuaDMix: Quality-Diversity Balanced Data Selection for Efficient LLM Pretraining

Reference 11

Resolution: unresolved; no resolver link, observed 2026-07-31T12:45:04.789254Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.