Paper Citation Record · LEDGER

WanJuanSiLu: A High-Quality Open-Source Webtext Dataset for Low-Resource Languages

As of 22 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 1 inbound Pith citation observation for arXiv:2501.14506.

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

pith.paper-citation-record.v1
2501.14506 v1

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T15:08:07.738729Z

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-17T23:44:57.222772Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-17T23:45:30.651091Z

Reference resolution

14 of 14 outbound references displayed

verified exact0
verified fuzzy7
unresolved7
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0149180a-3dc2-4e23-a8aa-0a91d1698aa9 · outbound

This paper cites Internlm: A multilingual language model with progressively enhanced capabilities, 2023.

WanJuanSiLu: A High-Quality Open-Source Webtext Dataset for Low-Resource Languages Internlm: A multilingual language model with progressively enhanced capabilities, 2023

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-10T15:08:07.680478Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 721c45b8-bc74-434e-b114-f233afb69c24 · outbound

This paper cites Ccnet: Extracting high quality monolingual datasets from web crawl data, 2019.

WanJuanSiLu: A High-Quality Open-Source Webtext Dataset for Low-Resource Languages Ccnet: Extracting high quality monolingual datasets from web crawl data, 2019

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:08:07.930027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e10e8ec0-60b5-4fa6-85bd-39e2ea101f78 · outbound

This paper cites GPT-4 Technical Report.

WanJuanSiLu: A High-Quality Open-Source Webtext Dataset for Low-Resource Languages GPT-4 Technical Report

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-10T15:08:07.690126Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e93e8ff8-aa85-4433-a229-5c5c4f46a7b1 · outbound

This paper cites Choquette-Choo, Katherine Lee, Derrick Xin, Aditya Kusupati, Romi Stella, Ankur Bapna, and Orhan Firat.

WanJuanSiLu: A High-Quality Open-Source Webtext Dataset for Low-Resource Languages Choquette-Choo, Katherine Lee, Derrick Xin, Aditya Kusupati, Romi Stella, Ankur Bapna, and Orhan Firat

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:08:07.916078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 514070a6-0e20-415d-be51-10e71ffde3f2 · outbound

This paper cites mt5: A massively multilingual pre-trained text-to-text trans- former, 2021.

WanJuanSiLu: A High-Quality Open-Source Webtext Dataset for Low-Resource Languages mt5: A massively multilingual pre-trained text-to-text trans- former, 2021

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:08:07.902831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e528d8e3-e732-4f19-b0a7-f653008fb975 · outbound

This paper cites Bag of Tricks for Efficient Text Classification.

WanJuanSiLu: A High-Quality Open-Source Webtext Dataset for Low-Resource Languages Bag of Tricks for Efficient Text Classification

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-10T15:08:07.704266Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 01a3bc6a-8cfb-4b84-909b-1b01c1a129fd · outbound

This paper cites Fasttext.zip: Compressing text classification models, 2016.

WanJuanSiLu: A High-Quality Open-Source Webtext Dataset for Low-Resource Languages Fasttext.zip: Compressing text classification models, 2016

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:08:07.889486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 4cf1e75e-b205-4d4d-bdbd-fe0bc48ffd86 · outbound

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

WanJuanSiLu: A High-Quality Open-Source Webtext Dataset for Low-Resource Languages Deduplicating training data makes language models better, 2022

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-10T15:08:07.713491Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1d223ae8-33dc-4701-9315-20d42d192dbf · outbound

This paper cites Scaling Laws and Interpretability of Learning from Repeated Data.

WanJuanSiLu: A High-Quality Open-Source Webtext Dataset for Low-Resource Languages Scaling Laws and Interpretability of Learning from Repeated Data

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-10T15:08:07.717723Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f0a8b481-4f0f-409c-b5e7-d732d19823fc · outbound

This paper cites On the resemblance and containment of documents.

WanJuanSiLu: A High-Quality Open-Source Webtext Dataset for Low-Resource Languages On the resemblance and containment of documents

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:08:07.868159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 9bfd8bba-a2ac-4e4f-afba-7ec1ab2e8f41 · outbound

This paper cites Kenlm: Faster and smaller language model queries.

WanJuanSiLu: A High-Quality Open-Source Webtext Dataset for Low-Resource Languages Kenlm: Faster and smaller language model queries

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:08:07.854282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 02b69b7b-ec91-45bd-abda-a21b77b1dade · outbound

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

WanJuanSiLu: A High-Quality Open-Source Webtext Dataset for Low-Resource Languages BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-10T15:08:07.729845Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6550433f-077c-4613-a6c0-aec1ab197aea · outbound

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

WanJuanSiLu: A High-Quality Open-Source Webtext Dataset for Low-Resource Languages Unsupervised Cross-lingual Representation Learning at Scale

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-10T15:08:07.734340Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 97a047a4-2f55-4828-b9a8-602c9b55d66d · outbound

This paper cites Enriching word vectors with subword information, 2017.

WanJuanSiLu: A High-Quality Open-Source Webtext Dataset for Low-Resource Languages Enriching word vectors with subword information, 2017

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:08:07.840137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Pith citing papers

Observation a374fd8b-b441-4453-b49e-e3931dd95fd7 · inbound

NiuTrans.LMT: Toward Inclusive and Scalable Multilingual Machine Translation with LLMs cites this paper.

NiuTrans.LMT: Toward Inclusive and Scalable Multilingual Machine Translation with LLMs WanJuanSiLu: A High-Quality Open-Source Webtext Dataset for Low-Resource Languages

Reference 5

Resolution: malformed identifier; arxiv_id, observed 2026-05-17T23:45:30.653953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.