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Paper Citation Record · LEDGER

Craw4LLM: Efficient Web Crawling for LLM Pretraining

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2502.13347.

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

pith.paper-citation-record.v1
2502.13347 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 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:52:04.356379Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T20:21:58.077404Z

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 38c050eb-4bdb-41d2-a502-36bcd8f466a6 · inbound

Neural Prioritisation for Web Crawling cites this paper.

Neural Prioritisation for Web Crawling Craw4LLM: Efficient Web Crawling for LLM Pretraining

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-06T23:52:04.356379Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:52:04.356379Z digest=sha256:95ce7ce57973155a7c91a21e60f2de78053b57697920fd717b0a685cab214288

Observation 591e6031-5101-4b14-9a15-3885759666b3 · inbound

RefineX: Learning to Refine Pre-training Data at Scale from Expert-Guided Programs cites this paper.

RefineX: Learning to Refine Pre-training Data at Scale from Expert-Guided Programs Craw4LLM: Efficient Web Crawling for LLM Pretraining

Reference 54

Resolution
verified exact
local_arxiv, observed 2026-08-06T20:21:58.169963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T20:21:56.432140Z digest=sha256:559899a32569747241e3e8f1b2738f5abf521ad19e7c211dde415aac402aa3d1