Paper Citation Record · LEDGER

ChineseWebText 2.0: Large-Scale High-quality Chinese Web Text with Multi-dimensional and fine-grained information

As of 18 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:2411.19668.

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

pith.paper-citation-record.v1
2411.19668 v1

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T06:05:08.031095Z

measured 43 of 43 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

43 of 43 outbound references displayed

verified exact0
verified fuzzy14
unresolved29
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 05e88a92-defd-4538-846f-61afcefb92a4 · outbound

This paper cites Chinesewebtext: Large-scale high-quality chinese web text extracted with effective evaluation model, 2023.

ChineseWebText 2.0: Large-Scale High-quality Chinese Web Text with Multi-dimensional and fine-grained information Chinesewebtext: Large-scale high-quality chinese web text extracted with effective evaluation model, 2023

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-12T06:05:07.893556Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b1a15ec9-7648-4eb8-ba2d-7e74041b7c81 · outbound

This paper cites an unresolved cited work.

ChineseWebText 2.0: Large-Scale High-quality Chinese Web Text with Multi-dimensional and fine-grained information Unresolved cited work

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-12T06:05:07.897627Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 139b9431-1aae-47cb-bed3-d0047c441363 · outbound

This paper cites The Pile: An 800GB Dataset of Diverse Text for Language Modeling.

ChineseWebText 2.0: Large-Scale High-quality Chinese Web Text with Multi-dimensional and fine-grained information The Pile: An 800GB Dataset of Diverse Text for Language Modeling

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-12T06:05:07.901849Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b07256d7-92e0-46a9-a68f-60ceb30f9ed3 · outbound

This paper cites Wanjuan: A comprehensive multimodal dataset for advancing english and chinese large models, 2023.

ChineseWebText 2.0: Large-Scale High-quality Chinese Web Text with Multi-dimensional and fine-grained information Wanjuan: A comprehensive multimodal dataset for advancing english and chinese large models, 2023

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T06:05:08.413252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 8a2e532a-910a-484f-ace5-6ade2d74fb78 · outbound

This paper cites Chinese tiny llm: Pretraining a chinese-centric large language model, 2024.

ChineseWebText 2.0: Large-Scale High-quality Chinese Web Text with Multi-dimensional and fine-grained information Chinese tiny llm: Pretraining a chinese-centric large language model, 2024

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T06:05:08.402548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 56336261-4f0d-4c14-992b-b5c9bc43eaad · outbound

This paper cites BLOOM: A 176B-Parameter Open-Access Multilingual Language Model.

ChineseWebText 2.0: Large-Scale High-quality Chinese Web Text with Multi-dimensional and fine-grained information BLOOM: A 176B-Parameter Open-Access Multilingual Language Model

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-12T06:05:07.912679Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 790eb458-1411-4244-9833-2ce8f27ebf9a · outbound

This paper cites Llama: Open and efficient foundation language models, 2023.

ChineseWebText 2.0: Large-Scale High-quality Chinese Web Text with Multi-dimensional and fine-grained information Llama: Open and efficient foundation language models, 2023

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-12T06:05:07.916718Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e26c9290-b789-4461-bc00-a7f1bf8b227e · outbound

This paper cites The refinedweb dataset for falcon llm: Outperforming curated corpora with web data, and web data only, 2023.

ChineseWebText 2.0: Large-Scale High-quality Chinese Web Text with Multi-dimensional and fine-grained information The refinedweb dataset for falcon llm: Outperforming curated corpora with web data, and web data only, 2023

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-12T06:05:07.923279Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 663fecf8-37e5-4cb0-8dca-4885c27f6d51 · outbound

This paper cites an unresolved cited work.

ChineseWebText 2.0: Large-Scale High-quality Chinese Web Text with Multi-dimensional and fine-grained information Unresolved cited work

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-12T06:05:07.928360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 50b2cacc-e86a-4652-96fd-e697b2878589 · outbound

This paper cites PaLM: Scaling Language Modeling with Pathways.

ChineseWebText 2.0: Large-Scale High-quality Chinese Web Text with Multi-dimensional and fine-grained information PaLM: Scaling Language Modeling with Pathways

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-12T06:05:07.931326Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bad9a8e2-aeee-4b88-8155-2cdaf4e94dbc · outbound

This paper cites Qwen Technical Report.

ChineseWebText 2.0: Large-Scale High-quality Chinese Web Text with Multi-dimensional and fine-grained information Qwen Technical Report

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-12T06:05:07.934433Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2b0a0f24-1146-4435-9051-0409bf92f163 · outbound

This paper cites GPT-4 Technical Report.

ChineseWebText 2.0: Large-Scale High-quality Chinese Web Text with Multi-dimensional and fine-grained information GPT-4 Technical Report

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-12T06:05:07.937173Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 64913b34-c84c-4e31-b37f-6a4adee0ec5e · outbound

This paper cites Learning to reason with llms.

ChineseWebText 2.0: Large-Scale High-quality Chinese Web Text with Multi-dimensional and fine-grained information Learning to reason with llms

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T06:05:08.372687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 86fd619b-7d1d-4fd1-b45f-21e31d642cd1 · outbound

This paper cites Wudaocorpora: A super large-scale chinese corpora for pre-training language models.

ChineseWebText 2.0: Large-Scale High-quality Chinese Web Text with Multi-dimensional and fine-grained information Wudaocorpora: A super large-scale chinese corpora for pre-training language models

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T06:05:08.362968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 3138052c-2346-4e0e-a228-6c2359befc13 · outbound

This paper cites Yuan 1.0: Large-scale pre-trained language model in zero-shot and few-shot learning, 2021.

ChineseWebText 2.0: Large-Scale High-quality Chinese Web Text with Multi-dimensional and fine-grained information Yuan 1.0: Large-scale pre-trained language model in zero-shot and few-shot learning, 2021

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T06:05:08.352719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 0431466d-876a-433b-8c90-d06953ce380a · outbound

This paper cites Skywork: A more open bilingual foundation model, 2023.

ChineseWebText 2.0: Large-Scale High-quality Chinese Web Text with Multi-dimensional and fine-grained information Skywork: A more open bilingual foundation model, 2023

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-12T06:05:07.947236Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 24d34e81-292b-4b9b-a2a1-bde4657ca6fe · outbound

This paper cites an unresolved cited work.

ChineseWebText 2.0: Large-Scale High-quality Chinese Web Text with Multi-dimensional and fine-grained information Unresolved cited work

Reference 17

Resolution: unresolved; raw_fallback, observed 2026-08-12T06:05:08.336479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e68923b6-1424-4d9c-8caf-e05c60e9c522 · outbound

This paper cites Deduplicating training data makes language models better, 2022.

ChineseWebText 2.0: Large-Scale High-quality Chinese Web Text with Multi-dimensional and fine-grained information Deduplicating training data makes language models better, 2022

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-12T06:05:07.952697Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c680084-a89c-4fa0-8f8f-53f2e7cb7175 · outbound

This paper cites Language Models are Few-Shot Learners.

ChineseWebText 2.0: Large-Scale High-quality Chinese Web Text with Multi-dimensional and fine-grained information Language Models are Few-Shot Learners

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-12T06:05:07.956000Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ff8519f1-c197-460b-80d4-63215d00cf48 · outbound

This paper cites an unresolved cited work.

ChineseWebText 2.0: Large-Scale High-quality Chinese Web Text with Multi-dimensional and fine-grained information Unresolved cited work

Reference 20

Resolution: unresolved; raw_fallback, observed 2026-08-12T06:05:08.320668Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 3bf16235-6307-44fc-ac2f-b0afde3f4206 · outbound

This paper cites Bag of tricks for efficient text classification, 2016.

ChineseWebText 2.0: Large-Scale High-quality Chinese Web Text with Multi-dimensional and fine-grained information Bag of tricks for efficient text classification, 2016

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-12T06:05:07.962427Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6eb42067-f19b-4c22-81e6-5a2a0dea83e5 · outbound

This paper cites Efficient estimation of word representations in vector space, 2013.

ChineseWebText 2.0: Large-Scale High-quality Chinese Web Text with Multi-dimensional and fine-grained information Efficient estimation of word representations in vector space, 2013

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-12T06:05:07.966571Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cf61abb5-0a9f-4877-8834-8d4976c4fcf1 · outbound

This paper cites A review on offensive language detection.

ChineseWebText 2.0: Large-Scale High-quality Chinese Web Text with Multi-dimensional and fine-grained information A review on offensive language detection

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T06:05:08.300166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation bf8d9ee8-b334-4633-a7d2-d368f79e427e · outbound

This paper cites Chinese Offensive Language Detection:Current Status and Future Directions.

ChineseWebText 2.0: Large-Scale High-quality Chinese Web Text with Multi-dimensional and fine-grained information Chinese Offensive Language Detection:Current Status and Future Directions

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-12T06:05:07.973075Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 78e968bb-356d-4165-8923-8aa374b1450c · outbound

This paper cites HateBERT: Retraining BERT for Abusive Language Detection in English.

ChineseWebText 2.0: Large-Scale High-quality Chinese Web Text with Multi-dimensional and fine-grained information HateBERT: Retraining BERT for Abusive Language Detection in English

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-12T06:05:07.976446Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation efd35854-948f-4b97-b266-6e79287aacfe · outbound

This paper cites ToxiGen: A Large-Scale Machine-Generated Dataset for Adversarial and Implicit Hate Speech Detection.

ChineseWebText 2.0: Large-Scale High-quality Chinese Web Text with Multi-dimensional and fine-grained information ToxiGen: A Large-Scale Machine-Generated Dataset for Adversarial and Implicit Hate Speech Detection

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-12T06:05:07.979712Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6c97ff2e-5d90-49a3-92ff-e0e2210ead4b · outbound

This paper cites COLD: A Benchmark for Chinese Offensive Language Detection.

ChineseWebText 2.0: Large-Scale High-quality Chinese Web Text with Multi-dimensional and fine-grained information COLD: A Benchmark for Chinese Offensive Language Detection

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-12T06:05:07.983285Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 57475f31-d657-4df3-9c7a-b8cce2a6c0a3 · outbound

This paper cites an unresolved cited work.

ChineseWebText 2.0: Large-Scale High-quality Chinese Web Text with Multi-dimensional and fine-grained information Unresolved cited work

Reference 28

Resolution: unresolved; raw_fallback, observed 2026-08-12T06:05:08.291069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 4db47989-be99-411f-8b1a-55d34a541e74 · outbound

This paper cites an unresolved cited work.

ChineseWebText 2.0: Large-Scale High-quality Chinese Web Text with Multi-dimensional and fine-grained information Unresolved cited work

Reference 29

Resolution: unresolved; raw_fallback, observed 2026-08-12T06:05:08.282117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation efc6a8c7-bee2-4be0-ad24-62a025357f79 · outbound

This paper cites On the Use of BERT for Automated Essay Scoring: Joint Learning of Multi-Scale Essay Representation.

ChineseWebText 2.0: Large-Scale High-quality Chinese Web Text with Multi-dimensional and fine-grained information On the Use of BERT for Automated Essay Scoring: Joint Learning of Multi-Scale Essay Representation

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-12T06:05:07.992754Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 53f4457d-46c3-4951-88d4-d68409d5c484 · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

ChineseWebText 2.0: Large-Scale High-quality Chinese Web Text with Multi-dimensional and fine-grained information BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-12T06:05:07.995961Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 64d48f70-c8c2-4b33-ba8b-7bc2691c48b9 · outbound

This paper cites A neural local coherence model for text quality assessment.

ChineseWebText 2.0: Large-Scale High-quality Chinese Web Text with Multi-dimensional and fine-grained information A neural local coherence model for text quality assessment

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T06:05:08.272891Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d4d7dcc7-d431-401b-ad81-883807d14450 · outbound

This paper cites Temp: taxonomy expansion with dynamic margin loss through taxonomy-paths.

ChineseWebText 2.0: Large-Scale High-quality Chinese Web Text with Multi-dimensional and fine-grained information Temp: taxonomy expansion with dynamic margin loss through taxonomy-paths

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T06:05:08.263142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 4f97475e-3b6f-4c17-99ee-0e4086794bf8 · outbound

This paper cites Probability of error of some adaptive pattern-recognition machines.

ChineseWebText 2.0: Large-Scale High-quality Chinese Web Text with Multi-dimensional and fine-grained information Probability of error of some adaptive pattern-recognition machines

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T06:05:08.253499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 447abf01-44b3-48ec-93db-6b6f5bb4bdf3 · outbound

This paper cites Uncertainty-aware self-training for few-shot text classification.

ChineseWebText 2.0: Large-Scale High-quality Chinese Web Text with Multi-dimensional and fine-grained information Uncertainty-aware self-training for few-shot text classification

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-12T06:05:08.008042Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b493f098-6b22-4079-aa93-f6b0e5736f5e · outbound

This paper cites Facilitating Fine-grained Detection of Chinese Toxic Language: Hierarchical Taxonomy, Resources, and Benchmarks.

ChineseWebText 2.0: Large-Scale High-quality Chinese Web Text with Multi-dimensional and fine-grained information Facilitating Fine-grained Detection of Chinese Toxic Language: Hierarchical Taxonomy, Resources, and Benchmarks

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-12T06:05:08.010954Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 21e47696-be73-4028-9227-4682ff38c4d3 · outbound

This paper cites Swsr: A chinese dataset and lexicon for online sexism detection.

ChineseWebText 2.0: Large-Scale High-quality Chinese Web Text with Multi-dimensional and fine-grained information Swsr: A chinese dataset and lexicon for online sexism detection

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T06:05:08.237502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e4bd2f25-a6dd-434f-affa-d36b9431ebd1 · outbound

This paper cites Towards identifying social bias in dialog systems: Framework, dataset, and benchmark.

ChineseWebText 2.0: Large-Scale High-quality Chinese Web Text with Multi-dimensional and fine-grained information Towards identifying social bias in dialog systems: Framework, dataset, and benchmark

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T06:05:08.227830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 71a726c7-efcd-4d6f-a5cf-0afe880dc253 · outbound

This paper cites Qwen2.5: A party of foundation models, September 2024.

ChineseWebText 2.0: Large-Scale High-quality Chinese Web Text with Multi-dimensional and fine-grained information Qwen2.5: A party of foundation models, September 2024

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-12T06:05:08.018665Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5639c668-5e6b-4466-b17d-9230b79d1943 · outbound

This paper cites The bigscience roots corpus: A 1.6 tb composite multilingual dataset.

ChineseWebText 2.0: Large-Scale High-quality Chinese Web Text with Multi-dimensional and fine-grained information The bigscience roots corpus: A 1.6 tb composite multilingual dataset

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T06:05:08.211890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 421018ca-bccf-4e0d-95a0-db603ab0b81b · outbound

This paper cites SemEval-2019 Task 6: Identifying and Categorizing Offensive Language in Social Media (OffensEval).

ChineseWebText 2.0: Large-Scale High-quality Chinese Web Text with Multi-dimensional and fine-grained information SemEval-2019 Task 6: Identifying and Categorizing Offensive Language in Social Media (OffensEval)

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-12T06:05:08.024914Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e03a2642-539f-4b86-8c51-2270588cf96f · outbound

This paper cites I feel offended, don’t be abusive! implicit/explicit messages in offensive and abusive language.

ChineseWebText 2.0: Large-Scale High-quality Chinese Web Text with Multi-dimensional and fine-grained information I feel offended, don’t be abusive! implicit/explicit messages in offensive and abusive language

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T06:05:08.201853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ce6d4474-b071-4df9-a5d2-e11d8d453027 · outbound

This paper cites True" or.

ChineseWebText 2.0: Large-Scale High-quality Chinese Web Text with Multi-dimensional and fine-grained information True" or

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T06:05:08.190526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Pith citing papers

No inbound Pith citation observations are available.