Pith. sign in

Paper Citation Record · LEDGER

Explaining Data Mixing Scaling Laws

As of 10 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 2026-08-09T06:31:02.800959+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

  • verified exact0
  • verified fuzzy0
  • unresolved16
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

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

Resolution
unresolved
no resolver link, observed 2026-08-02T12:13:45.639396Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T12:13:45.639396Z digest=sha256:7804be358a97b1b3a4840cbeec513049cc94ad74eddb261139183041798ebb67

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

Resolution
unresolved
no resolver link, observed 2026-08-02T12:13:45.832399Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T12:13:45.832399Z digest=sha256:5b348f557220293ca8fe9ae8d4a24a036016e38bea4f9ab2cdbd2a6b5db13e8f

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

This paper cites resolves.

Explaining Data Mixing Scaling Laws resolves

Reference 4

Resolution
malformed identifier
no resolver link, observed 2026-08-02T12:13:47.054898Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T12:13:47.054898Z digest=sha256:c1a0a92e336f74b12088b0decf8574594ef5eb7e72c641c3c2eff9832c0e194b

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

Resolution
unresolved
no resolver link, observed 2026-08-02T12:13:46.217059Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T12:13:46.217059Z digest=sha256:1b7fd8f949ec15b0cf5d2b34042dfca8cdb9b8cade6a8fdeb85817ace71be3dd

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T12:13:46.325756Z digest=sha256:1d99110f0d31d427f00cc9d8b57040347c0d02a490c865f39c5fcf80c4423716

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T12:13:46.430129Z digest=sha256:2f06a9e38cfa48e213d626dfdec93b42005387929c5c988dc68b09d2c2779bfe

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

Resolution
unresolved
no resolver link, observed 2026-08-02T12:13:46.534086Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T12:13:46.534086Z digest=sha256:cf1adda2a019a9eafcac730455f0bcfb69ecf16db960f28f8879a099d7bf9b68

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

Resolution
unresolved
no resolver link, observed 2026-08-02T12:13:46.679613Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T12:13:46.679613Z digest=sha256:f45a2c249fb360592ee9dd7520b109d1966aa1e368d344c9ee4cc0f1922e92a8

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

Resolution
unresolved
no resolver link, observed 2026-08-02T12:13:46.773603Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T12:13:46.773603Z digest=sha256:5d295bd271d7f9fc794d1fc9bc0312e1f1b34eaa4fd0cbd26d0373eda95d574e

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

This paper cites an unresolved cited work.

Explaining Data Mixing Scaling Laws Unresolved cited work

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-02T12:13:46.844855Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T12:13:46.844855Z digest=sha256:a0cdacd1724bc49f1872c52fdfb84ef50f20b946aa8caea4777b5037021b40d2

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

Resolution
unresolved
no resolver link, observed 2026-08-02T12:13:46.944129Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T12:13:46.944129Z digest=sha256:22e6956b2ada49c9714f4ed279562f44f5e3ed0b7c6510062c1fba1c09a1a94b

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

Resolution
unresolved
no resolver link, observed 2026-08-02T12:13:47.135221Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T12:13:47.135221Z digest=sha256:c139eb45bcf7cd0686104e9a2e4523e73dd1f97f7ed59dba1131ff594efb46a7

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

Resolution
unresolved
no resolver link, observed 2026-08-02T12:13:46.118358Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T12:13:46.118358Z digest=sha256:f880cad98469bf112d69a93c8d8aa3a774c73610a545c94537af916cb56c0be0

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

Resolution
unresolved
no resolver link, observed 2026-08-02T12:13:46.609563Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T12:13:46.609563Z digest=sha256:054c089922cf165834a0c690862323229d9f9530f9f22150fb39a1a1608a1ee6

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

Resolution
unresolved
no resolver link, observed 2026-08-02T12:13:45.730668Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T12:13:45.730668Z digest=sha256:d5b0504122918c3f6b6540746443ca46f446d407a4025177171006557cbd71b1

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

Resolution
unresolved
no resolver link, observed 2026-08-02T12:13:45.966591Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T12:13:45.966591Z digest=sha256:570832776ada22b59d7a388844c383bc314a4eccdb148a59d7151e48078c04b3

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

Resolution
unresolved
no resolver link, observed 2026-08-02T12:13:46.040154Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T12:13:46.040154Z digest=sha256:a42ac41d502246c98e716db1b25e30dc79d383d5397ad387ca36eb3c16789243

Pith citing papers

No inbound Pith citation observations are available.