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Paper Citation Record · LEDGER

An Expanded Massive Multilingual Dataset for High-Performance Language Technologies (HPLT)

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2503.10267.

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

pith.paper-citation-record.v1
2503.10267 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:19:29.222980Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-17T23:45:30.638964Z

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 7e8416a2-7eea-4132-a3cf-4db13627ab55 · inbound

Judging Quality Across Languages: A Multilingual Approach to Pretraining Data Filtering with Language Models cites this paper.

Judging Quality Across Languages: A Multilingual Approach to Pretraining Data Filtering with Language Models An Expanded Massive Multilingual Dataset for High-Performance Language Technologies (HPLT)

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-07T13:19:29.222980Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:19:29.222980Z digest=sha256:c818370c47961d62a60e76f3696d3ce63d415f55aeec282a158ec8a936660138

Observation 6f6c3cb5-c38d-4cce-b6f4-f6f4b634ed5a · inbound

FineWeb2: One Pipeline to Scale Them All -- Adapting Pre-Training Data Processing to Every Language cites this paper.

FineWeb2: One Pipeline to Scale Them All -- Adapting Pre-Training Data Processing to Every Language An Expanded Massive Multilingual Dataset for High-Performance Language Technologies (HPLT)

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-06T22:46:34.583082Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:46:34.583082Z digest=sha256:af03dbdbae774ffcb86c4ced0995ffd45ba6f0811ad63595f5464cf886c76978

Observation f7083402-fcd2-47a3-9155-743e1a3de6f0 · inbound

Mangosteen: An Open Thai Corpus for Language Model Pretraining cites this paper.

Mangosteen: An Open Thai Corpus for Language Model Pretraining An Expanded Massive Multilingual Dataset for High-Performance Language Technologies (HPLT)

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-06T15:56:22.742311Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:56:22.742311Z digest=sha256:c352c47843d95781e5786df9468b08a29c53cfb179050f0d8e57df7e0ac1690e

Observation d424e25e-aed7-4bad-9020-3d4f9d239ff8 · 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 An Expanded Massive Multilingual Dataset for High-Performance Language Technologies (HPLT)

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-17T23:45:30.642384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-17T23:44:57.222772Z digest=sha256:9eb37359089e27452e669679609bb0a94fcfbe3be2237cb5c06a4a0feaaf47da

Observation 7bf50d1b-36e7-4898-8a40-a0a1fdb16540 · inbound

Disentangling Language Modeling and Boundaries cites this paper.

Disentangling Language Modeling and Boundaries An Expanded Massive Multilingual Dataset for High-Performance Language Technologies (HPLT)

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-05T16:21:01.210440Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T16:21:01.210440Z digest=sha256:3e78434aa4171cbcf02aa050cb923cf2776e55de49404844ccd35185e6d5ab39