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Paper Citation Record · LEDGER

MiChao-HuaFen 1.0: A Specialized Pre-trained Corpus Dataset for Domain-specific Large Models

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2309.13079.

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

pith.paper-citation-record.v1
2309.13079 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 2026-08-21T06:32:19.484+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:10:21.873194Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T20:33:20.897741Z

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 c3485399-cb3c-4c62-8265-829878092397 · inbound

OpenCSG Chinese Corpus: A Series of High-quality Chinese Datasets for LLM Training cites this paper.

OpenCSG Chinese Corpus: A Series of High-quality Chinese Datasets for LLM Training MiChao-HuaFen 1.0: A Specialized Pre-trained Corpus Dataset for Domain-specific Large Models

Reference 26

Resolution
verified exact
local_arxiv, observed 2026-08-10T20:33:20.904151Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-10T20:33:20.604501Z digest=sha256:c258ba25f02f7a95bcf9bf8e79fc823c7fbd60f100a02c4140059dc2eb353812

Observation 35fdbb6c-4c20-46e3-a3c2-4edb453c42fc · inbound

Ultra-FineWeb: Efficient Data Filtering and Verification for High-Quality LLM Training Data cites this paper.

Ultra-FineWeb: Efficient Data Filtering and Verification for High-Quality LLM Training Data MiChao-HuaFen 1.0: A Specialized Pre-trained Corpus Dataset for Domain-specific Large Models

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-15T23:10:21.873194Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:10:21.873194Z digest=sha256:f5785b6668f32c99ddc3ae74920199a5459083a81668ebe60a5359f8b3c980b5