Paper Citation Record · LEDGER

CCNet: Extracting High Quality Monolingual Datasets from Web Crawl Data

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 29 inbound Pith citation observations for arXiv:1911.00359.

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

pith.paper-citation-record.v1
1911.00359 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 29 of 29 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 29 of 29 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:56:12.519256Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-28T17:02:24.078563Z

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 03788d16-a6c8-4673-98d0-0fb7a9a07835 · inbound

Unsupervised Cross-lingual Representation Learning at Scale cites this paper.

Unsupervised Cross-lingual Representation Learning at Scale CCNet: Extracting High Quality Monolingual Datasets from Web Crawl Data

Reference 11

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T16:23:29.600855Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e3d827c7-880e-4f0b-ba3f-c7f1c1468c77 · inbound

How Much Knowledge Can You Pack Into the Parameters of a Language Model? cites this paper.

How Much Knowledge Can You Pack Into the Parameters of a Language Model? CCNet: Extracting High Quality Monolingual Datasets from Web Crawl Data

Reference 73

Resolution: verified exact; arxiv_id, observed 2026-05-15T02:00:28.169302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5472dbef-3a53-48ca-a44a-1da109dc35b6 · inbound

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

The Pile: An 800GB Dataset of Diverse Text for Language Modeling CCNet: Extracting High Quality Monolingual Datasets from Web Crawl Data

Reference 120

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T21:35:18.906502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 40b2432e-8c0f-4e45-be7d-32348da2309d · inbound

TinyStories: How Small Can Language Models Be and Still Speak Coherent English? cites this paper.

TinyStories: How Small Can Language Models Be and Still Speak Coherent English? CCNet: Extracting High Quality Monolingual Datasets from Web Crawl Data

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-05-25T07:36:55.190800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5dd9c545-4321-49a5-a26c-66e1f6a9193d · inbound

Scaling Data-Constrained Language Models cites this paper.

Scaling Data-Constrained Language Models CCNet: Extracting High Quality Monolingual Datasets from Web Crawl Data

Reference 129

Resolution: verified exact; arxiv_id, observed 2026-05-18T01:35:21.469750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 0fc3d07e-10cb-4433-b4ff-e7a1743f9cea · inbound

Yi: Open Foundation Models by 01.AI cites this paper.

Yi: Open Foundation Models by 01.AI CCNet: Extracting High Quality Monolingual Datasets from Web Crawl Data

Reference 82

Resolution: verified exact; arxiv_id, observed 2026-05-13T05:47:27.920584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a44804af-48ca-4012-862d-891579879888 · inbound

MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training cites this paper.

MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training CCNet: Extracting High Quality Monolingual Datasets from Web Crawl Data

Reference 118

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T04:09:36.325229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 056c7337-fd3a-4750-b319-ba5022c4b0e8 · inbound

LP Data Pipeline: Lightweight, Purpose-driven Data Pipeline for Large Language Models cites this paper.

LP Data Pipeline: Lightweight, Purpose-driven Data Pipeline for Large Language Models CCNet: Extracting High Quality Monolingual Datasets from Web Crawl Data

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-12T18:45:47.445614Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aabb6c2f-1c27-409a-955c-e61118c9d95a · inbound

RedPajama: an Open Dataset for Training Large Language Models cites this paper.

RedPajama: an Open Dataset for Training Large Language Models CCNet: Extracting High Quality Monolingual Datasets from Web Crawl Data

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-12T17:39:47.177040Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f67d7619-3d2f-4805-b073-8a199f4091ee · inbound

Surveying the Effects of Quality, Diversity, and Complexity in Synthetic Data From Large Language Models cites this paper.

Surveying the Effects of Quality, Diversity, and Complexity in Synthetic Data From Large Language Models CCNet: Extracting High Quality Monolingual Datasets from Web Crawl Data

Reference 209

Resolution: unresolved; no resolver link, observed 2026-08-11T22:57:02.079562Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d5af562e-77c8-4ea8-b3c2-534c46e802fc · inbound

Alignment at Pre-training! Towards Native Alignment for Arabic LLMs cites this paper.

Alignment at Pre-training! Towards Native Alignment for Arabic LLMs CCNet: Extracting High Quality Monolingual Datasets from Web Crawl Data

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-11T22:41:17.596836Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 215d78d0-1315-4c92-bf2e-a59e3d8eb360 · inbound

RedStone: Curating General, Code, Math, and QA Data for Large Language Models cites this paper.

RedStone: Curating General, Code, Math, and QA Data for Large Language Models CCNet: Extracting High Quality Monolingual Datasets from Web Crawl Data

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-11T22:31:03.934871Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d74a08a5-22c9-4b86-8325-38d8a0183e85 · inbound

7B Fully Open Source Moxin-LLM/VLM -- From Pretraining to GRPO-based Reinforcement Learning Enhancement cites this paper.

7B Fully Open Source Moxin-LLM/VLM -- From Pretraining to GRPO-based Reinforcement Learning Enhancement CCNet: Extracting High Quality Monolingual Datasets from Web Crawl Data

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-11T20:27:18.161664Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 60c07edc-2d8a-4617-babf-85471b6b2b28 · inbound

BioBridge: Unified Bio-Embedding with Bridging Modality in Code-Switched EMR cites this paper.

BioBridge: Unified Bio-Embedding with Bridging Modality in Code-Switched EMR CCNet: Extracting High Quality Monolingual Datasets from Web Crawl Data

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-11T14:46:50.594428Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db617fec-61af-448a-b437-7bd0e86d5623 · inbound

Baichuan4-Finance Technical Report cites this paper.

Baichuan4-Finance Technical Report CCNet: Extracting High Quality Monolingual Datasets from Web Crawl Data

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-11T13:55:19.086184Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b69a555e-e2e4-405d-b7aa-3ea78ad2ec26 · inbound

A Review of the Marathi Natural Language Processing cites this paper.

A Review of the Marathi Natural Language Processing CCNet: Extracting High Quality Monolingual Datasets from Web Crawl Data

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-11T11:26:22.457823Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7c29f0db-116d-4910-8d7d-8ec88424c42e · inbound

LLMic: Romanian Foundation Language Model cites this paper.

LLMic: Romanian Foundation Language Model CCNet: Extracting High Quality Monolingual Datasets from Web Crawl Data

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-10T20:41:57.860574Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0b6dea10-5fa3-4ed9-8f74-42e7b1419e38 · inbound

Principled Data Selection for Alignment: The Hidden Risks of Difficult Examples cites this paper.

Principled Data Selection for Alignment: The Hidden Risks of Difficult Examples CCNet: Extracting High Quality Monolingual Datasets from Web Crawl Data

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-08T11:57:12.006202Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c6ceac81-6d16-4aeb-98e0-477ea8bbe813 · inbound

Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model cites this paper.

Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model CCNet: Extracting High Quality Monolingual Datasets from Web Crawl Data

Reference 80

Resolution: metadata mismatch; arxiv_id, observed 2026-05-19T08:02:23.384376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 8689d0ac-8edc-494b-adee-41fff118bed5 · inbound

Data Augmentation With Back translation for Low Resource languages: A case of English and Luganda cites this paper.

Data Augmentation With Back translation for Low Resource languages: A case of English and Luganda CCNet: Extracting High Quality Monolingual Datasets from Web Crawl Data

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-16T00:56:12.519256Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 75633494-30bf-4201-8a08-f125e9f27c40 · 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 CCNet: Extracting High Quality Monolingual Datasets from Web Crawl Data

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-15T23:10:21.955434Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 253f9be1-f33b-44e4-8048-6bebdc1a3247 · inbound

FisherSFT: Data-Efficient Supervised Fine-Tuning of Language Models Using Information Gain cites this paper.

FisherSFT: Data-Efficient Supervised Fine-Tuning of Language Models Using Information Gain CCNet: Extracting High Quality Monolingual Datasets from Web Crawl Data

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-07T15:33:55.441839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a2a851bd-e006-4495-871c-b13c6e4a11ce · inbound

Compute Requirements for Algorithmic Innovation in Frontier AI Models cites this paper.

Compute Requirements for Algorithmic Innovation in Frontier AI Models CCNet: Extracting High Quality Monolingual Datasets from Web Crawl Data

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-06T17:52:50.757421Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 137788bf-f801-4910-8e92-490cd5ecc825 · inbound

Language Models Improve When Pretraining Data Matches Target Tasks cites this paper.

Language Models Improve When Pretraining Data Matches Target Tasks CCNet: Extracting High Quality Monolingual Datasets from Web Crawl Data

Reference 107

Resolution: unresolved; no resolver link, observed 2026-08-06T16:53:15.031829Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 06259a0d-4dd2-4298-a957-7f7bc7057306 · inbound

Video Generators are Robot Policies cites this paper.

Video Generators are Robot Policies CCNet: Extracting High Quality Monolingual Datasets from Web Crawl Data

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-15T21:43:37.312838Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e31f17c5-f02a-4005-8b4d-9c7ae6b0fe08 · inbound

BLISS: A Lightweight Bilevel Influence Scoring Method for Data Selection in Language Model Pretraining cites this paper.

BLISS: A Lightweight Bilevel Influence Scoring Method for Data Selection in Language Model Pretraining CCNet: Extracting High Quality Monolingual Datasets from Web Crawl Data

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-04T11:16:14.514772Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c2f873c2-2cd4-4d8d-9414-99f5d0a039c9 · inbound

Low-Resource Safety Failures Are Action Failures, Not Representation Failures cites this paper.

Low-Resource Safety Failures Are Action Failures, Not Representation Failures CCNet: Extracting High Quality Monolingual Datasets from Web Crawl Data

Reference 12

Resolution: metadata mismatch; arxiv_id, observed 2026-06-28T17:02:24.079935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 029975e0-6f6f-401b-aedf-afed6ac63fae · inbound

Token-Native Storage: Read and Write in your Agent's Language cites this paper.

Token-Native Storage: Read and Write in your Agent's Language CCNet: Extracting High Quality Monolingual Datasets from Web Crawl Data

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-04T08:28:17.704940Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6a3654bb-915b-476a-a125-591c2aa20ab2 · inbound

Token-Native Storage: Read and Write in your Agent's Language cites this paper.

Token-Native Storage: Read and Write in your Agent's Language CCNet: Extracting High Quality Monolingual Datasets from Web Crawl Data

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T01:05:13.475406Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.