Paper Citation Record · LEDGER

CCI3.0-HQ: a large-scale Chinese dataset of high quality designed for pre-training large language models

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2410.18505.

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

pith.paper-citation-record.v1
2410.18505 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:10:21.947143Z

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

0
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 622af388-ca6b-4f89-8b35-c2534e68f253 · 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 CCI3.0-HQ: a large-scale Chinese dataset of high quality designed for pre-training large language models

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-10T20:33:20.656765Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 76594633-18f9-418d-8725-a96bce7f948f · 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 CCI3.0-HQ: a large-scale Chinese dataset of high quality designed for pre-training large language models

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-15T23:10:21.947143Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d1b4a90b-7513-416a-8aa0-e83149fe20fa · inbound

SeedBench: A Multi-task Benchmark for Evaluating Large Language Models in Seed Science cites this paper.

SeedBench: A Multi-task Benchmark for Evaluating Large Language Models in Seed Science CCI3.0-HQ: a large-scale Chinese dataset of high quality designed for pre-training large language models

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-15T20:21:14.749939Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation edd32e32-ab94-458e-8851-249b94bef12e · inbound

MiniCPM4: Ultra-Efficient LLMs on End Devices cites this paper.

MiniCPM4: Ultra-Efficient LLMs on End Devices CCI3.0-HQ: a large-scale Chinese dataset of high quality designed for pre-training large language models

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T05:31:21.709208Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ad7a8d4d-4e1e-4226-9a4e-a9043b095146 · inbound

CORTEX: High-Quality Cross-Domain Organization of Web-Scale Corpora through Ontological Corpus Graph cites this paper.

CORTEX: High-Quality Cross-Domain Organization of Web-Scale Corpora through Ontological Corpus Graph CCI3.0-HQ: a large-scale Chinese dataset of high quality designed for pre-training large language models

Reference 103

Resolution: verified exact; arxiv_id, observed 2026-06-30T06:14:18.494710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 95563692-4e35-4766-bb37-117e227deb47 · inbound

Auditing Chinese Web-scale Corpora via Sampled BPE Token Statistics cites this paper.

Auditing Chinese Web-scale Corpora via Sampled BPE Token Statistics CCI3.0-HQ: a large-scale Chinese dataset of high quality designed for pre-training large language models

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-12T19:39:56.205258Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.