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Paper Citation Record · LEDGER

Explaining Data Mixing Scaling Laws

As of 8 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 0 inbound Pith citation observations for arXiv:2606.08167.

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

pith.paper-citation-record.v1
2606.08167 v3

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T12:13:47.135221Z

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

17 of 17 outbound references displayed

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  • verified fuzzy0
  • unresolved16
  • parse uncertain0
  • malformed identifier1
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation fcbbb887-5ef7-4809-91a6-a7d7a2c0f8ee · outbound

This paper cites Efficient Online Data Mixing For Language Model Pre-Training.

Explaining Data Mixing Scaling Laws Efficient Online Data Mixing For Language Model Pre-Training

Reference 1

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Unavailable: canonical work link unavailable.

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Observation 09ffce79-d991-44c8-9efb-2990774652f5 · outbound

This paper cites Scaling and renormalization in high-dimensional regression.

Explaining Data Mixing Scaling Laws Scaling and renormalization in high-dimensional regression

Reference 3

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Observation f3263734-1a33-46ca-aba1-54de74b1e831 · outbound

This paper cites resolves.

Explaining Data Mixing Scaling Laws resolves

Reference 4

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malformed identifier
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Unavailable: canonical work link unavailable.

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Observation 49e44722-980b-436e-8a84-43e4dde13cca · outbound

This paper cites The Pile: An 800GB Dataset of Diverse Text for Language Modeling.

Explaining Data Mixing Scaling Laws The Pile: An 800GB Dataset of Diverse Text for Language Modeling

Reference 7

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Observation fdd404a7-b023-48c0-92cd-57ff1606dc5e · outbound

This paper cites 16 Gu, X., Lyu, K., Li, J., and Zhang, J.

Explaining Data Mixing Scaling Laws 16 Gu, X., Lyu, K., Li, J., and Zhang, J

Reference 8

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no resolver link, observed 2026-08-02T12:13:46.325756Z

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Observation c038491c-e9bb-4a92-a804-4ae2da064e40 · outbound

This paper cites Training Compute-Optimal Large Language Models.

Explaining Data Mixing Scaling Laws Training Compute-Optimal Large Language Models

Reference 9

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no resolver link, observed 2026-08-02T12:13:46.430129Z

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Observation 910bea3d-c6df-46a3-ba0b-392768e364a0 · outbound

This paper cites Scaling Laws for Neural Language Models.

Explaining Data Mixing Scaling Laws Scaling Laws for Neural Language Models

Reference 10

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Observation ba1ae0eb-8755-4317-8800-e76e3826fd45 · outbound

This paper cites A Solvable Model of Neural Scaling Laws.

Explaining Data Mixing Scaling Laws A Solvable Model of Neural Scaling Laws

Reference 12

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Observation 47c1c0bc-df2c-4a5b-aa1c-ecf084336fe2 · outbound

This paper cites TinyLlama: An Open-Source Small Language Model.

Explaining Data Mixing Scaling Laws TinyLlama: An Open-Source Small Language Model

Reference 13

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Observation 2d381d7c-3f0d-4913-b690-537dd31dc64c · outbound

This paper cites an unresolved cited work.

Explaining Data Mixing Scaling Laws Unresolved cited work

Reference 14

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Unavailable: canonical work link unavailable.

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Observation a2dea185-f88b-4f4e-8bf9-35324f01e6bb · outbound

This paper cites 19 C Implementation Details For the experiments in Section 5.3, we implement our pretraining pipeline using the Megatron-LM framework in Korthikanti et al.

Explaining Data Mixing Scaling Laws 19 C Implementation Details For the experiments in Section 5.3, we implement our pretraining pipeline using the Megatron-LM framework in Korthikanti et al

Reference 15

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Observation 38b9b370-71a3-49b9-b851-46b994c117e8 · outbound

This paper cites In the following section, λk denotes the eigenvalue associated with the eigenvector uk, i.e.H uk = λkuk (but not the k-th largest eigenvalue).

Explaining Data Mixing Scaling Laws In the following section, λk denotes the eigenvalue associated with the eigenvector uk, i.e.H uk = λkuk (but not the k-th largest eigenvalue)

Reference 17

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Unavailable: canonical work link unavailable.

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Observation a2ee0bdf-1c77-40bb-a1e5-ab59c1fc2c85 · outbound

This paper cites URL https: //opg.optica.org/josaa/abstract.cfm?URI=josaa-4-12-2379.

Explaining Data Mixing Scaling Laws URL https: //opg.optica.org/josaa/abstract.cfm?URI=josaa-4-12-2379

Reference 1987

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unresolved
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Unavailable: canonical work link unavailable.

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Observation 8d91bf9b-23e5-4d5a-98c0-f507144fa1b9 · outbound

This paper cites Reducing Activation Recomputation in Large Transformer Models.

Explaining Data Mixing Scaling Laws Reducing Activation Recomputation in Large Transformer Models

Reference 2022

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Observation 706d1383-1cde-42e0-adce-325d4586ea3b · outbound

This paper cites A Theory for Emergence of Complex Skills in Language Models.

Explaining Data Mixing Scaling Laws A Theory for Emergence of Complex Skills in Language Models

Reference 2023

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Observation ea670dc4-bd2b-448d-bcb1-ebed50e7255b · outbound

This paper cites URL https://www.pnas.org/doi/abs/10.1073/pnas.2311878121.

Explaining Data Mixing Scaling Laws URL https://www.pnas.org/doi/abs/10.1073/pnas.2311878121

Reference 2024

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Observation e35bec1f-4782-469f-b2c8-09b31e5c51e3 · outbound

This paper cites Brown, T., Mann, B., Ryder, N., Subbiah, M., Kaplan, J.

Explaining Data Mixing Scaling Laws Brown, T., Mann, B., Ryder, N., Subbiah, M., Kaplan, J

Reference 2025

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Pith citing papers

No inbound Pith citation observations are available.