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Paper Citation Record · LEDGER

Efficient Pretraining Data Selection for Language Models via Multi-Actor Collaboration

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2410.08102.

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

pith.paper-citation-record.v1
2410.08102 v3

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 2026-08-06T15:21:57.057372Z

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

1
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 e1d6dee8-17da-4930-953e-732455697afd · inbound

LLM Data Selection and Utilization via Dynamic Bi-level Optimization cites this paper.

LLM Data Selection and Utilization via Dynamic Bi-level Optimization Efficient Pretraining Data Selection for Language Models via Multi-Actor Collaboration

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-06T15:21:57.057372Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:21:57.057372Z digest=sha256:d30a792db632e560974bfaef0d2db0220ae612b791f67538bdb7d81f3d431d7a

Observation 7c6ce2d7-46fa-46cc-bfc1-475d004aa85a · inbound

GRACE: A Dynamic Coreset Selection Framework for Large Language Model Optimization cites this paper.

GRACE: A Dynamic Coreset Selection Framework for Large Language Model Optimization Efficient Pretraining Data Selection for Language Models via Multi-Actor Collaboration

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-10T20:30:48.968601Z

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=pdf_text observed=2026-05-10T18:06:46.131725Z digest=sha256:c67748da322135d7021384b97890bd553d85ba37022c907cb897b6844ba26e63