Paper Citation Record · LEDGER

BiMix: A Bivariate Data Mixing Law for Language Model Pretraining

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2405.14908.

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

pith.paper-citation-record.v1
2405.14908 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 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 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T16:20:38.210654Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T04:02:30.466228Z

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 2d42d28c-4785-47af-a29f-5f51d6d22bde · inbound

DataComp-LM: In search of the next generation of training sets for language models cites this paper.

DataComp-LM: In search of the next generation of training sets for language models BiMix: A Bivariate Data Mixing Law for Language Model Pretraining

Reference 70

Resolution: verified exact; arxiv_id, observed 2026-05-17T22:58:16.981251Z

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.

Observation d4484cf8-6ce7-4d7e-b868-f07fa3ef30dc · inbound

DUET: Optimizing Training Data Mixtures via Feedback from Unseen Evaluation Tasks cites this paper.

DUET: Optimizing Training Data Mixtures via Feedback from Unseen Evaluation Tasks BiMix: A Bivariate Data Mixing Law for Language Model Pretraining

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-23T04:02:30.469727Z

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.

Observation e1e18744-1e5a-4135-a13b-a28118e13e12 · inbound

PiKE: Adaptive Data Mixing for Large-Scale Multi-Task Learning Under Low Gradient Conflicts cites this paper.

PiKE: Adaptive Data Mixing for Large-Scale Multi-Task Learning Under Low Gradient Conflicts BiMix: A Bivariate Data Mixing Law for Language Model Pretraining

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-08T16:20:38.210654Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 66437165-7de4-4550-accc-8ec38fb8c18a · inbound

Rethinking Data Mixture for Large Language Models: A Comprehensive Survey and New Perspectives cites this paper.

Rethinking Data Mixture for Large Language Models: A Comprehensive Survey and New Perspectives BiMix: A Bivariate Data Mixing Law for Language Model Pretraining

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T13:33:50.604941Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee14808c-4cd9-46ba-ba7e-91720ffc2156 · inbound

Domain2Vec: Vectorizing Datasets to Find the Optimal Data Mixture without Training cites this paper.

Domain2Vec: Vectorizing Datasets to Find the Optimal Data Mixture without Training BiMix: A Bivariate Data Mixing Law for Language Model Pretraining

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T04:19:06.110067Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a941bc58-7c88-43d1-874d-95bff74503a1 · inbound

Capacity-Aware Mixture Law Enables Efficient LLM Data Optimization cites this paper.

Capacity-Aware Mixture Law Enables Efficient LLM Data Optimization BiMix: A Bivariate Data Mixing Law for Language Model Pretraining

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-15T14:25:55.355588Z

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.

Observation 198ea434-7471-4751-b571-75edde642277 · 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 BiMix: A Bivariate Data Mixing Law for Language Model Pretraining

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-15T00:58:25.748636Z

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.

Observation e9c13eb0-af55-4a2d-85e7-cab69e42dcee · inbound

Knowledge Transfer Scaling Laws for 3D Medical Imaging cites this paper.

Knowledge Transfer Scaling Laws for 3D Medical Imaging BiMix: A Bivariate Data Mixing Law for Language Model Pretraining

Reference 11

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T01:45:51.563373Z

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.