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Paper Citation Record · LEDGER

Downstream Datasets Make Surprisingly Good Pretraining Corpora

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2209.14389.

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

pith.paper-citation-record.v1
2209.14389 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T11:59:52.201021Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

7
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation a6de482b-e074-467a-9a48-eb626d3fd90c · inbound

Galactica: A Large Language Model for Science cites this paper.

Galactica: A Large Language Model for Science Downstream Datasets Make Surprisingly Good Pretraining Corpora

Reference 79

Resolution
verified exact
arxiv_id, observed 2026-05-13T05:53:22.068963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-13T05:53:21.810346Z digest=sha256:4117776c5a2925471c1d8be5fce73bfc82f429f96a5cf8aeb1cb6c6bb41c9341

Observation 5ddd77f2-d528-43cb-b4dc-f5824a7ed1da · inbound

Using Scaling Laws for Data Source Utility Estimation in Domain-Specific Pre-Training cites this paper.

Using Scaling Laws for Data Source Utility Estimation in Domain-Specific Pre-Training Downstream Datasets Make Surprisingly Good Pretraining Corpora

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-06T11:59:52.201021Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T11:59:52.201021Z digest=sha256:775f1ba68e975d4d15d8980e4c333a3af94a03d0845910780db2ff4da660442a