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Paper Citation Record · LEDGER

Maximize Your Data's Potential: Enhancing LLM Accuracy with Two-Phase Pretraining

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2412.15285.

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

pith.paper-citation-record.v1
2412.15285 v1

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 2026-08-09T06:31:02.800959+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:33:13.070132Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T00:39:17.554218Z

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 c31f056f-2a0c-4681-b01e-6864e54ecebd · inbound

A Survey of LLM $\times$ DATA cites this paper.

A Survey of LLM $\times$ DATA Maximize Your Data's Potential: Enhancing LLM Accuracy with Two-Phase Pretraining

Reference 139

Resolution
unresolved
no resolver link, observed 2026-08-07T14:33:13.070132Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:33:13.070132Z digest=sha256:14f20b73729f54a95dfd17d14d343158d8d74f38cf3cc37d0357b11bbf799117

Observation ed9a85c7-fce3-48df-8edd-4c624c12522a · inbound

Chameleon: A Flexible Data-mixing Framework for Language Model Pretraining and Finetuning cites this paper.

Chameleon: A Flexible Data-mixing Framework for Language Model Pretraining and Finetuning Maximize Your Data's Potential: Enhancing LLM Accuracy with Two-Phase Pretraining

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-07T12:35:40.495825Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:35:40.495825Z digest=sha256:36603b083e5cd38263434d9f64d4f7a1af45e6a49ef613de671daa03dd7e784e

Observation 6fcec0c5-eb1c-4333-bbce-3febb00a897e · inbound

NVIDIA Nemotron 3: Efficient and Open Intelligence cites this paper.

NVIDIA Nemotron 3: Efficient and Open Intelligence Maximize Your Data's Potential: Enhancing LLM Accuracy with Two-Phase Pretraining

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-05-18T01:40:42.357220Z

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=arxiv_source observed=2026-05-18T01:40:42.190369Z digest=sha256:89291261621a28aa06ae7dd7fb3674215e6c016d98556bfbbf5b64a7007e10d6

Observation 0e1ab5ef-6b86-46ed-a171-5be072b032b1 · inbound

RegMix-D: Dynamic Data Mixing via Proxy Training Trajectories cites this paper.

RegMix-D: Dynamic Data Mixing via Proxy Training Trajectories Maximize Your Data's Potential: Enhancing LLM Accuracy with Two-Phase Pretraining

Reference 2

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T00:39:17.556230Z

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=2026-06-26T21:01:52.850037Z digest=sha256:2db4fbf8adbe17ceb2846eaa3e3bc06483821b9d7cac249c3f33b838c45a7dc5