Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
CCNet: Extracting High Quality Monolingual Datasets from Web Crawl Data
As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:1911.00359.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-03T06:30:56.289259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-06-28T16:59:51.969896Z
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 2026-08-03T06:30:56.289259+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 2026-08-03T06:30:56.289259+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 2026-08-03T06:30:56.289259+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 2026-08-03T06:30:56.289259+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 2026-08-03T06:30:56.289259+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 2026-08-03T06:30:56.289259+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 2026-08-03T06:30:56.289259+00:00.
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 2026-08-03T06:30:56.289259+00:00.
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 2026-08-03T06:30:56.289259+00:00.
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 2026-08-03T06:30:56.289259+00:00.