Paper Citation Record · LEDGER

Topic Over Source: The Key to Effective Data Mixing for Language Models Pre-training

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2502.16802.

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

pith.paper-citation-record.v1
2502.16802 v3

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 2026-08-18T06:34:40.430872+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:24:32.703946Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T16:19:57.839963Z

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 bb878ec9-056f-435b-960b-7e6e3f4fcc50 · inbound

topicwizard -- a Modern, Model-agnostic Framework for Topic Model Visualization and Interpretation cites this paper.

topicwizard -- a Modern, Model-agnostic Framework for Topic Model Visualization and Interpretation Topic Over Source: The Key to Effective Data Mixing for Language Models Pre-training

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-15T20:24:32.703946Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 513113da-ca73-4b5b-a506-0462607657c3 · 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 Topic Over Source: The Key to Effective Data Mixing for Language Models Pre-training

Reference 61

Resolution: verified exact; arxiv_id, observed 2026-05-15T00:58:25.736038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 23d6ee1a-93c1-45ad-a85c-27da42b11b5c · inbound

Holistic Data Scheduler for LLM Pre-training via Multi-Objective Reinforcement Learning cites this paper.

Holistic Data Scheduler for LLM Pre-training via Multi-Objective Reinforcement Learning Topic Over Source: The Key to Effective Data Mixing for Language Models Pre-training

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-07-04T16:19:57.841414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation cd6a4d94-5e23-48d9-a620-d40481e19f98 · 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 Topic Over Source: The Key to Effective Data Mixing for Language Models Pre-training

Reference 7

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T16:48:39.453307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.