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Paper Citation Record · LEDGER

MultiSynt/MT: Trillion-Token Multi-Parallel Pre-Training Data Translated Across 36 Languages

As of 12 August 2026, this Paper Citation Record lists 100 of 123 outbound references and 0 inbound Pith citation observations for arXiv:2607.00890.

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

pith.paper-citation-record.v1
2607.00890 v1

Coverage vector

measured 100 of 123 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-02T13:14:15.684960Z

measured 100 of 100 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+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

100 of 123 outbound references displayed

  • verified exact23
  • verified fuzzy57
  • unresolved7
  • parse uncertain1
  • malformed identifier0
  • metadata mismatch12

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ce467f72-2fc1-4e7b-9325-f16ef738084e · outbound

This paper cites multilingual.

MultiSynt/MT: Trillion-Token Multi-Parallel Pre-Training Data Translated Across 36 Languages multilingual

Reference 1

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation c64eb1bd-dee6-494a-b2c1-29fbde6c8191 · outbound

This paper cites Translation studies in Scandinavia , volume=.

MultiSynt/MT: Trillion-Token Multi-Parallel Pre-Training Data Translated Across 36 Languages Translation studies in Scandinavia , volume=

Reference 2

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation d66af31f-7981-4a7f-b304-24cc1680d9f6 · outbound

This paper cites CoRR , volume =.

MultiSynt/MT: Trillion-Token Multi-Parallel Pre-Training Data Translated Across 36 Languages CoRR , volume =

Reference 3

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 618586f0-1f59-4c26-84e7-c1980f5861f2 · outbound

This paper cites and Pombal, Jos.

MultiSynt/MT: Trillion-Token Multi-Parallel Pre-Training Data Translated Across 36 Languages and Pombal, Jos

Reference 4

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-07-02T13:14:15.684960Z digest=sha256:ec0affb45ac65735fb96bc1c4cf6c4e1ba0b8013bf14fe57b49cfda38a72507a

Observation e98317c6-ea37-465b-a3d4-e5def37e38fd · outbound

This paper cites First Conference on Language Modeling , year =.

MultiSynt/MT: Trillion-Token Multi-Parallel Pre-Training Data Translated Across 36 Languages First Conference on Language Modeling , year =

Reference 5

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-07-02T13:14:15.684960Z digest=sha256:2dd8c9fae3162f341daf3b994ac4559ba7e9af3c55804dffe755f92ad7413d0f

Observation ba725acf-870a-4f27-ad9d-7bef1b656c05 · outbound

This paper cites 2025 , doi =.

MultiSynt/MT: Trillion-Token Multi-Parallel Pre-Training Data Translated Across 36 Languages 2025 , doi =

Reference 6

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-07-02T13:14:15.684960Z digest=sha256:25b41366074592deeffe4d32cf45d84c4a0c168adc099f0acb532e22e41d0107

Observation 13af0a35-fa39-4331-a4ab-77c0f39b6add · outbound

This paper cites 2025 , doi =.

MultiSynt/MT: Trillion-Token Multi-Parallel Pre-Training Data Translated Across 36 Languages 2025 , doi =

Reference 7

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-07-02T13:14:15.684960Z digest=sha256:34c53e8fde0eb64f5488f4d6d1a8e7693a4870dda1221eb0963100445dd50584

Observation bc01218f-4a33-4378-9f13-6394a768b49f · outbound

This paper cites LightEval: A lightweight framework for LLM evaluation , year =.

MultiSynt/MT: Trillion-Token Multi-Parallel Pre-Training Data Translated Across 36 Languages LightEval: A lightweight framework for LLM evaluation , year =

Reference 8

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-07-02T13:14:15.684960Z digest=sha256:6260ababf3d9edf00996b6d98abdf924c5129057f2075fa7ed02c686891ca4a3

Observation cb925d21-5e93-4920-bff0-e9a32343301c · outbound

This paper cites doi:10.5281/zenodo.12608602 , url =.

MultiSynt/MT: Trillion-Token Multi-Parallel Pre-Training Data Translated Across 36 Languages doi:10.5281/zenodo.12608602 , url =

Reference 9

Resolution
verified exact
doi, observed 2026-07-02T13:16:57.925228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 7a4a52ed-33b8-4844-84a8-65a700083fbd · outbound

This paper cites N or E val: A N orwegian Language Understanding and Generation Evaluation Benchmark.

MultiSynt/MT: Trillion-Token Multi-Parallel Pre-Training Data Translated Across 36 Languages N or E val: A N orwegian Language Understanding and Generation Evaluation Benchmark

Reference 10

Resolution
verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 89d70643-a248-4a2a-80b1-2fac89af2a6d · outbound

This paper cites The Fourteenth International Conference on Learning Representations , year =.

MultiSynt/MT: Trillion-Token Multi-Parallel Pre-Training Data Translated Across 36 Languages The Fourteenth International Conference on Learning Representations , year =

Reference 11

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-07-02T13:14:15.684960Z digest=sha256:81d7f2840c812616b88a5b5d32007f91f41804d80745785b18f218e4eabc2ad7

Observation 1d85b444-93c2-4bdf-901e-c2b88dd12412 · outbound

This paper cites Anderson and Yarin Gal , title =.

MultiSynt/MT: Trillion-Token Multi-Parallel Pre-Training Data Translated Across 36 Languages Anderson and Yarin Gal , title =

Reference 12

Resolution
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Source-reported events for the cited work

correction dated 2025-03-21. Source: crossref record 10.1038/s41586-025-08905-3->10.1038/s41586-024-07566-y:correction, observed 2026-07-11T02:58:09.060211+00:00. This notice travels one citation hop only.

source=arxiv_source observed=2026-07-02T13:14:15.684960Z digest=sha256:5c3b3ff8f10b0cafecb1b3da64b7107a869e242e098259b68cddb0b5ccf22626

Observation d9aa513b-1e11-49ed-b5b2-370045a82752 · outbound

This paper cites The Tatoeba Translation Challenge -- Realistic Data Sets for Low Resource and Multilingual MT.

MultiSynt/MT: Trillion-Token Multi-Parallel Pre-Training Data Translated Across 36 Languages The Tatoeba Translation Challenge -- Realistic Data Sets for Low Resource and Multilingual MT

Reference 13

Resolution
verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-07-02T13:14:15.684960Z digest=sha256:e8228bac7b88648aceb41a15284fb60464a8c9aff44e32bb2754573e1db9869a

Observation a26bc0ed-9401-489c-9cc5-323c8aafc223 · outbound

This paper cites Recent advances in natural language processing , volume=.

MultiSynt/MT: Trillion-Token Multi-Parallel Pre-Training Data Translated Across 36 Languages Recent advances in natural language processing , volume=

Reference 14

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-07-02T13:14:15.684960Z digest=sha256:a63e6df6b32cd9fe4bc020f2a43fcc20e5eb2a5696ba024da9dc1029c52a2bff

Observation e660fde9-379f-416e-8f90-073c7146cf4e · outbound

This paper cites author=.

MultiSynt/MT: Trillion-Token Multi-Parallel Pre-Training Data Translated Across 36 Languages author=

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-07-02T13:14:15.684960Z digest=sha256:d2176e1b20564d79aee1e54708adec0fdc6a5ff3d818f5740c05d715c6fa3566

Observation c45fb188-8f9c-452c-8041-d2467c37febd · outbound

This paper cites and Krikun, Maxim and Wu, Yonghui and Chen, Zhifeng and Thorat, Nikhil and Vi \'e gas, Fernanda and Wattenberg, Martin and Corrado, Greg and Hughes, Macduff and Dean, Jeffrey.

MultiSynt/MT: Trillion-Token Multi-Parallel Pre-Training Data Translated Across 36 Languages and Krikun, Maxim and Wu, Yonghui and Chen, Zhifeng and Thorat, Nikhil and Vi \'e gas, Fernanda and Wattenberg, Martin and Corrado, Greg and Hughes, Macduff and Dean, Jeffrey

Reference 16

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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 42883c99-4879-4950-b497-dee0d7784b58 · outbound

This paper cites an unresolved cited work.

MultiSynt/MT: Trillion-Token Multi-Parallel Pre-Training Data Translated Across 36 Languages Unresolved cited work

Reference 17

Resolution
verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation d1f766cc-9a63-4a64-a6f0-469fb731dff5 · outbound

This paper cites Nemotron- CC : Transforming C ommon C rawl into a refined long-horizon pretraining dataset.

MultiSynt/MT: Trillion-Token Multi-Parallel Pre-Training Data Translated Across 36 Languages Nemotron- CC : Transforming C ommon C rawl into a refined long-horizon pretraining dataset

Reference 18

Resolution
verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 3b9b2650-ba2e-4b69-af9f-642c2dcd68df · outbound

This paper cites CoRR , volume =.

MultiSynt/MT: Trillion-Token Multi-Parallel Pre-Training Data Translated Across 36 Languages CoRR , volume =

Reference 19

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 5d952044-ac6b-4d5a-a000-434721368418 · outbound

This paper cites An Expanded Massive Multilingual Dataset for High-Performance Language Technologies (.

MultiSynt/MT: Trillion-Token Multi-Parallel Pre-Training Data Translated Across 36 Languages An Expanded Massive Multilingual Dataset for High-Performance Language Technologies (

Reference 20

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 587e8594-9344-4749-bddf-6209fa128292 · outbound

This paper cites CoRR , volume=.

MultiSynt/MT: Trillion-Token Multi-Parallel Pre-Training Data Translated Across 36 Languages CoRR , volume=

Reference 21

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 466dffdb-5b68-46c6-b7da-9cacbbac86a4 · outbound

This paper cites an unresolved cited work.

MultiSynt/MT: Trillion-Token Multi-Parallel Pre-Training Data Translated Across 36 Languages Unresolved cited work

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-07-02T13:14:15.684960Z digest=sha256:0b4c9b3c2c46db8eef62f125565de69a1b421d0f0bd9770b9ba05ec04b15191d

Observation c8907ded-97f3-47c0-92c5-1b71c13813ff · outbound

This paper cites 2019 , doi =.

MultiSynt/MT: Trillion-Token Multi-Parallel Pre-Training Data Translated Across 36 Languages 2019 , doi =

Reference 23

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-07-02T13:14:15.684960Z digest=sha256:1ba1153f893a2c681367db0277a23d81e4ce1705a2cbcb76a2ba94833a1494ae

Observation d7e5b41d-0f3c-47c9-996d-26b464458f8e · outbound

This paper cites Proceedings of the Thirteenth Language Resources and Evaluation Conference , pages =.

MultiSynt/MT: Trillion-Token Multi-Parallel Pre-Training Data Translated Across 36 Languages Proceedings of the Thirteenth Language Resources and Evaluation Conference , pages =

Reference 24

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-07-02T13:14:15.684960Z digest=sha256:21786e51e7842ecc897364d1b235061584222593e87424fb43ce952712b55e23

Observation be6d11d7-e37d-414a-b6a9-e5e150a0dae0 · outbound

This paper cites Translation Artifacts in Cross-lingual Transfer Learning , booktitle =.

MultiSynt/MT: Trillion-Token Multi-Parallel Pre-Training Data Translated Across 36 Languages Translation Artifacts in Cross-lingual Transfer Learning , booktitle =

Reference 25

Resolution
verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-07-02T13:14:15.684960Z digest=sha256:346642999025d647dc44a198d888fd675b967c829858cc50681273c8559350ff

Observation b863bac5-8559-46d2-be25-3063f8dd5a6c · outbound

This paper cites The Belebele Benchmark: a Parallel Reading Comprehension Dataset in 122 Language Variants , url =.

MultiSynt/MT: Trillion-Token Multi-Parallel Pre-Training Data Translated Across 36 Languages The Belebele Benchmark: a Parallel Reading Comprehension Dataset in 122 Language Variants , url =

Reference 26

Resolution
metadata mismatch
doi, observed 2026-07-02T13:16:57.881344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 1e7b6a6a-d930-4d68-bbd2-03118d4bb1dd · outbound

This paper cites 2024 , note =.

MultiSynt/MT: Trillion-Token Multi-Parallel Pre-Training Data Translated Across 36 Languages 2024 , note =

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T01:21:43.980009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-07-02T13:14:15.684960Z digest=sha256:a7927043f0b21a86ed65372b3b8308dae2d7385e5d4d01fda68eec91920c9777

Observation ca0d233e-22ff-4948-8784-623dd026fe0c · outbound

This paper cites How Human is Machine Translationese? Comparing Human and Machine Translations of Text and Speech.

MultiSynt/MT: Trillion-Token Multi-Parallel Pre-Training Data Translated Across 36 Languages How Human is Machine Translationese? Comparing Human and Machine Translations of Text and Speech

Reference 28

Resolution
metadata mismatch
doi, observed 2026-07-02T13:16:57.929055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-07-02T13:14:15.684960Z digest=sha256:46d73eda04d534bad5f048f85d1d39e4bf5410bfff45b3491cacd08383d4a86b

Observation 08b143e4-13f8-41fc-b2de-b5b260e53ece · outbound

This paper cites Proceedings of the Second Arabic Natural Language Processing Conference , month = aug, year =.

MultiSynt/MT: Trillion-Token Multi-Parallel Pre-Training Data Translated Across 36 Languages Proceedings of the Second Arabic Natural Language Processing Conference , month = aug, year =

Reference 29

Resolution
verified exact
doi, observed 2026-07-02T13:16:57.900586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-07-02T13:14:15.684960Z digest=sha256:96332846fb6fc62de8d97103aff5846ee152acdec280c285d4ac76a616c0b8e0

Observation fd911464-15af-4de5-a408-00004db0eb41 · outbound

This paper cites Advances in Neural Information Processing Systems , volume =.

MultiSynt/MT: Trillion-Token Multi-Parallel Pre-Training Data Translated Across 36 Languages Advances in Neural Information Processing Systems , volume =

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T01:21:43.998209Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-07-02T13:14:15.684960Z digest=sha256:40755758087bc0768e74a996ba49bccc6a6c8d36a9db1daa94e2c458dee6e243

Observation bc862cd4-3ea4-47fe-aa45-c9e332c695d1 · outbound

This paper cites Chang, Catherine Arnett, Zhuowen Tu, and Benjamin K.

MultiSynt/MT: Trillion-Token Multi-Parallel Pre-Training Data Translated Across 36 Languages Chang, Catherine Arnett, Zhuowen Tu, and Benjamin K

Reference 31

Resolution
metadata mismatch
doi, observed 2026-07-02T13:16:57.933100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-07-02T13:14:15.684960Z digest=sha256:dc0f8ee7c464e81c4b37aba6cd3f7e5ac51684de89f5250ca60b3ec753dc38c1

Observation 34a6b193-f20b-4ecd-9d1d-09aa55ad3a0b · outbound

This paper cites CoRR , volume =.

MultiSynt/MT: Trillion-Token Multi-Parallel Pre-Training Data Translated Across 36 Languages CoRR , volume =

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T01:21:43.953141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-07-02T13:14:15.684960Z digest=sha256:b03cbd4cf29e6f7e1648931c29e07727186ff77981c683a172762638237b6d77

Observation b9aee5fb-d5ef-4508-94cc-2eb41916109e · outbound

This paper cites and Choi, Eunsol and Collins, Michael and Garrette, Dan and Kwiatkowski, Tom and Nikolaev, Vitaly and Palomaki, Jennimaria , journal =.

MultiSynt/MT: Trillion-Token Multi-Parallel Pre-Training Data Translated Across 36 Languages and Choi, Eunsol and Collins, Michael and Garrette, Dan and Kwiatkowski, Tom and Nikolaev, Vitaly and Palomaki, Jennimaria , journal =

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T01:21:43.958371Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-07-02T13:14:15.684960Z digest=sha256:ca8c46e1edcd45039a9e5e240e91dc21adc63c51ab36a3ad726a5f06da7b054f

Observation cbf15e51-93ee-4328-a1fc-83f15b3d48b0 · outbound

This paper cites 2023 , doi =.

MultiSynt/MT: Trillion-Token Multi-Parallel Pre-Training Data Translated Across 36 Languages 2023 , doi =

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T01:21:44.011558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-07-02T13:14:15.684960Z digest=sha256:e0f25e1410acff24b981e6a02055642d326a0ac99b0e5f07082ff868cb5c3154

Observation f2b68b4a-20a4-4fd1-ac2a-7b26494e85f6 · outbound

This paper cites doi:10.18653/v1/D18-1269 , editor =.

MultiSynt/MT: Trillion-Token Multi-Parallel Pre-Training Data Translated Across 36 Languages doi:10.18653/v1/D18-1269 , editor =

Reference 35

Resolution
metadata mismatch
doi, observed 2026-07-02T13:16:57.907081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-07-02T13:14:15.684960Z digest=sha256:20826b02a0ef7b6d2da2f1f33b4811bd810d4ae8dd29efbd338fb86b500fc5e7

Observation d74aed98-330d-435a-ae36-7be59e53e850 · outbound

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

MultiSynt/MT: Trillion-Token Multi-Parallel Pre-Training Data Translated Across 36 Languages Unsupervised Cross-lingual Representation Learning at Scale , booktitle =

Reference 36

Resolution
verified exact
doi, observed 2026-07-02T13:16:57.863351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-07-02T13:14:15.684960Z digest=sha256:db062ab51e7b50befbc9a2f6fb1585b720f905cf6c91bffe494e1fd9614d0a8d

Observation 084d63b7-f59f-4aa6-88e3-1df7b645e44c · outbound

This paper cites 2024 , eprint =.

MultiSynt/MT: Trillion-Token Multi-Parallel Pre-Training Data Translated Across 36 Languages 2024 , eprint =

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T01:21:43.983528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-07-02T13:14:15.684960Z digest=sha256:fb38a5e2b1643ccba6ad47c2c11de4fafa91a71328c4877e146c17eb7095ee47

Observation d266896a-2f5a-4a69-be10-bc70ad239d5a · outbound

This paper cites Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024) , pages =.

MultiSynt/MT: Trillion-Token Multi-Parallel Pre-Training Data Translated Across 36 Languages Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024) , pages =

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T01:21:43.981804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-07-02T13:14:15.684960Z digest=sha256:7bb8350802ec4ee81a6c13c537f031a7595b20fa9571f0e15390bb1fb1494bd3

Observation eb4b5768-fbb7-4040-b00b-0b6b4aaff7cc · outbound

This paper cites In: Christodoulopoulos, C., Chakraborty, T., Rose, C., Peng, V.

MultiSynt/MT: Trillion-Token Multi-Parallel Pre-Training Data Translated Across 36 Languages In: Christodoulopoulos, C., Chakraborty, T., Rose, C., Peng, V

Reference 39

Resolution
metadata mismatch
doi, observed 2026-07-02T13:16:57.924138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-07-02T13:14:15.684960Z digest=sha256:0b84b4c3ef8efd5b3a5b485eed84d837599ddfc08a412898147dea09614a6ced

Observation 9d731625-a857-44df-ab4f-415e16b9c0e6 · outbound

This paper cites Proceedings of the 41st International Conference on Machine Learning , year =.

MultiSynt/MT: Trillion-Token Multi-Parallel Pre-Training Data Translated Across 36 Languages Proceedings of the 41st International Conference on Machine Learning , year =

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T01:21:43.930402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-07-02T13:14:15.684960Z digest=sha256:9a94152efa1a0ddfc937c74c16429981fe7bdcfcce13e3b2b2b61dae950548d9

Observation 5816e97b-0ef5-4691-91b2-0f31fda50f21 · outbound

This paper cites Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing , pages =.

MultiSynt/MT: Trillion-Token Multi-Parallel Pre-Training Data Translated Across 36 Languages Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing , pages =

Reference 41

Resolution
verified exact
doi, observed 2026-07-02T13:16:57.927165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-07-02T13:14:15.684960Z digest=sha256:42c32118d66bc6263fddc7e843cee6efca9f49721a1090c06d882aed38b82dcc

Observation 3dc000cb-0731-468a-b2a9-ce26400b54f1 · outbound

This paper cites Length-Controlled.

MultiSynt/MT: Trillion-Token Multi-Parallel Pre-Training Data Translated Across 36 Languages Length-Controlled

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T01:21:44.024785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-07-02T13:14:15.684960Z digest=sha256:bf8e81725387a9c4280ca76f929697eeaf38cc5c23e6a20e45c9d35c46c6ff80

Observation 20b7d694-c174-4504-aac8-847d2f01a9ad · outbound

This paper cites Understanding Back-Translation at Scale.

MultiSynt/MT: Trillion-Token Multi-Parallel Pre-Training Data Translated Across 36 Languages Understanding Back-Translation at Scale

Reference 43

Resolution
metadata mismatch
doi, observed 2026-07-02T13:16:57.904958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-07-02T13:14:15.684960Z digest=sha256:ee303ea93b698b66518cd22af1687af5d960e33ee4c9c9fec622c690f39efadd

Observation 471298c6-ae07-4594-938c-9b8cf13f0cb6 · outbound

This paper cites CoRR , volume =.

MultiSynt/MT: Trillion-Token Multi-Parallel Pre-Training Data Translated Across 36 Languages CoRR , volume =

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T01:21:43.928534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-07-02T13:14:15.684960Z digest=sha256:590b7306b9cc06d3ed55380a0b72b1b3c288ef7301c1339fe28dd656fb1da888

Observation 6b8583e5-425d-4e84-b31a-23c1d0b6a791 · outbound

This paper cites 2024 , url =.

MultiSynt/MT: Trillion-Token Multi-Parallel Pre-Training Data Translated Across 36 Languages 2024 , url =

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T01:21:44.032622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-07-02T13:14:15.684960Z digest=sha256:c8e7a7b939866647d5954736119825c9787afbe09ca70565d133fd00354c4c16

Observation 6cdb9306-8e6d-4c74-91a6-3cc6d8c74bf2 · outbound

This paper cites an unresolved cited work.

MultiSynt/MT: Trillion-Token Multi-Parallel Pre-Training Data Translated Across 36 Languages Unresolved cited work

Reference 46

Resolution
unresolved
raw_fallback, observed 2026-07-06T01:21:43.945806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-07-02T13:14:15.684960Z digest=sha256:3fd277b082736e377f9592330a4319a2ea132d13e261206f4f93678bd761ad4d

Observation 974464aa-b096-41ca-835b-93113e8356f1 · outbound

This paper cites 2020 , address =.

MultiSynt/MT: Trillion-Token Multi-Parallel Pre-Training Data Translated Across 36 Languages 2020 , address =

Reference 47

Resolution
verified exact
doi, observed 2026-07-02T13:16:57.895093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-07-02T13:14:15.684960Z digest=sha256:5f733e97adf05dfb02adf688ec884ce6876a2d8962c35ada6cdfac93b565f59b

Observation 70dd5028-4107-469e-ae74-43cd0f79dac1 · outbound

This paper cites an unresolved cited work.

MultiSynt/MT: Trillion-Token Multi-Parallel Pre-Training Data Translated Across 36 Languages Unresolved cited work

Reference 48

Resolution
unresolved
raw_fallback, observed 2026-07-06T01:21:44.036171Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-07-02T13:14:15.684960Z digest=sha256:4456cee65092397d3880b2646bb42092f847a9626de76ca0bc469bb6042bf750

Observation 8273e6a7-cbcb-4a35-90d5-44ae30a647f4 · outbound

This paper cites First Conference on Language Modeling , year =.

MultiSynt/MT: Trillion-Token Multi-Parallel Pre-Training Data Translated Across 36 Languages First Conference on Language Modeling , year =

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T01:21:44.037875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-07-02T13:14:15.684960Z digest=sha256:658ef46c2ffa2be1f6eff28783a1afc8b8845e96ede28a10f2bd483176416489

Observation c05547a3-42ca-43a6-ac31-4466d2248e4d · outbound

This paper cites Proceedings of the Fourth Conference on Machine Translation , year =.

MultiSynt/MT: Trillion-Token Multi-Parallel Pre-Training Data Translated Across 36 Languages Proceedings of the Fourth Conference on Machine Translation , year =

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T01:21:44.033084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-07-02T13:14:15.684960Z digest=sha256:7966e3707628c1df2b1ad33f2fdb152a06772f60c3c91c087b3bccbbc9902400

Observation c47eaf48-44ee-4f27-8019-2798a7b371a4 · outbound

This paper cites Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) , pages =.

MultiSynt/MT: Trillion-Token Multi-Parallel Pre-Training Data Translated Across 36 Languages Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) , pages =

Reference 51

Resolution
verified exact
doi, observed 2026-07-02T13:16:57.893117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-07-02T13:14:15.684960Z digest=sha256:d478d5796fdd7c0fec7d845c454eedf8aae3f36d1da46ed49b1a58fd4e9337d0

Observation 361669e4-0d24-4389-88d9-5185ef141853 · outbound

This paper cites A Survey on.

MultiSynt/MT: Trillion-Token Multi-Parallel Pre-Training Data Translated Across 36 Languages A Survey on

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T01:21:44.039426Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-07-02T13:14:15.684960Z digest=sha256:d6fcae696b7a6e4c476bb3fcb329a7f46f348051054d1c1a4acfd5f4f04db07e

Observation ee48bd6e-f246-4096-bd58-471029ac2309 · outbound

This paper cites International Conference on Learning Representations (ICLR) , year =.

MultiSynt/MT: Trillion-Token Multi-Parallel Pre-Training Data Translated Across 36 Languages International Conference on Learning Representations (ICLR) , year =

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T01:21:44.041051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-07-02T13:14:15.684960Z digest=sha256:0b6df26b5636e2828c4ba2f5e5493267e8c2e12e465a244d12d4476755d01217

Observation 5afd9055-694b-44ae-900d-f8e54c3ae790 · outbound

This paper cites Challenges and Strategies in Cross-Cultural NLP.

MultiSynt/MT: Trillion-Token Multi-Parallel Pre-Training Data Translated Across 36 Languages Challenges and Strategies in Cross-Cultural NLP

Reference 54

Resolution
verified exact
doi, observed 2026-07-02T13:16:57.915100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-07-02T13:14:15.684960Z digest=sha256:0c9ef1213663f7ea141fdb5f8e718671a1ba87760e2797875dfa437f18e6d308

Observation b66a9f6f-bcca-4353-ae60-d7e6b2f93e5f · outbound

This paper cites 2020 , publisher =.

MultiSynt/MT: Trillion-Token Multi-Parallel Pre-Training Data Translated Across 36 Languages 2020 , publisher =

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T01:21:44.021643Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-07-02T13:14:15.684960Z digest=sha256:8444f762821b8f79d52db9596afcc4033d200b494848ee923f5f6d9691691998

Observation 765d5a2d-66a2-4b8d-bf43-636e9eaab4bb · outbound

This paper cites Glot500: Scaling multilingual corpora and language models to 500 languages.

MultiSynt/MT: Trillion-Token Multi-Parallel Pre-Training Data Translated Across 36 Languages Glot500: Scaling multilingual corpora and language models to 500 languages

Reference 56

Resolution
metadata mismatch
doi, observed 2026-07-02T13:16:57.906914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-07-02T13:14:15.684960Z digest=sha256:def73620e4bbe07e2c76f0c1d26aa79c00c63c3323b35895bf828729f3bac1ce

Observation 0e86f9f2-9407-489b-be5e-03c5affab5d2 · outbound

This paper cites Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation , year =.

MultiSynt/MT: Trillion-Token Multi-Parallel Pre-Training Data Translated Across 36 Languages Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation , year =

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T01:21:44.022555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-07-02T13:14:15.684960Z digest=sha256:c407dc86818317648b1b34ac5e02650ec32f1a07cbf7d5489fb0f482f759f056

Observation 95518809-440b-431a-b9a6-8dcb086fdc4c · outbound

This paper cites 2024 , eprint =.

MultiSynt/MT: Trillion-Token Multi-Parallel Pre-Training Data Translated Across 36 Languages 2024 , eprint =

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T01:21:44.025665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-07-02T13:14:15.684960Z digest=sha256:d5bac09f7147fc850d2193a0bc7926089e2f7f0fb8aaf608406ef695f7a3a9dd

Observation a754aaae-6dc8-472b-af06-b7516e69ff93 · outbound

This paper cites 2025 , eprint =.

MultiSynt/MT: Trillion-Token Multi-Parallel Pre-Training Data Translated Across 36 Languages 2025 , eprint =

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T01:21:44.039574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-07-02T13:14:15.684960Z digest=sha256:9f81a2feb4e1a7ab4622897e9d993cf2416c2f8411acf474c2ab9ea36d269211

Observation 2228b67e-3ddc-4ef1-8401-c8c5fb133a9e · outbound

This paper cites Preliminary Ranking of.

MultiSynt/MT: Trillion-Token Multi-Parallel Pre-Training Data Translated Across 36 Languages Preliminary Ranking of

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T01:21:44.042738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-07-02T13:14:15.684960Z digest=sha256:54e6a7901a21ca862817bb58989ae0386103809d11048fd82968306e78c32e65

Observation aebae82c-31dc-4cf8-8c29-5caa08926129 · outbound

This paper cites Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies , pages =.

MultiSynt/MT: Trillion-Token Multi-Parallel Pre-Training Data Translated Across 36 Languages Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies , pages =

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T01:21:44.024146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-07-02T13:14:15.684960Z digest=sha256:d7ff8e0a445c3808d38eb93659b72e436cfd9136283538a9257c459a8f4a3d8c

Observation eb2d3787-856b-4592-b495-352352e58763 · outbound

This paper cites Transactions of the Association for Computational Linguistics , volume =.

MultiSynt/MT: Trillion-Token Multi-Parallel Pre-Training Data Translated Across 36 Languages Transactions of the Association for Computational Linguistics , volume =

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T01:21:44.030984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-07-02T13:14:15.684960Z digest=sha256:fe28588c52d26dae3a9aff8b4bd38c668c6a32a61f750797a7c145cf6a09c9f1

Observation 158ccd26-0a58-4904-bfd5-e74ac56cd8fa · outbound

This paper cites 2023 , doi =.

MultiSynt/MT: Trillion-Token Multi-Parallel Pre-Training Data Translated Across 36 Languages 2023 , doi =

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T01:21:44.036360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-07-02T13:14:15.684960Z digest=sha256:5008d9ef599bc19758f339f964747271d3b59c27448508ac689556714cb41f76

Observation d317a4a0-2a6e-45d8-93d0-f9a983b7631a · outbound

This paper cites Advances in Neural Information Processing Systems , volume =.

MultiSynt/MT: Trillion-Token Multi-Parallel Pre-Training Data Translated Across 36 Languages Advances in Neural Information Processing Systems , volume =

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T01:21:44.044356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-07-02T13:14:15.684960Z digest=sha256:57f5e27500433a2c6d06a55e1de19af585f5cf5c76d7ad69a3c51443b2d59d2c

Observation 756f735e-5581-4cd3-84d6-fc6cd39a5e9f · outbound

This paper cites an unresolved cited work.

MultiSynt/MT: Trillion-Token Multi-Parallel Pre-Training Data Translated Across 36 Languages Unresolved cited work

Reference 65

Resolution
unresolved
raw_fallback, observed 2026-07-06T01:21:43.971021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-07-02T13:14:15.684960Z digest=sha256:70757e0267991f1afa0fcc39febd5b0bcea3ae1e6d060f28b3751aaed0a9a5f7

Observation eac3be1f-b0c3-44c9-9e84-e75c6850a845 · outbound

This paper cites Deduplicating Training Data Makes Language Models Better.

MultiSynt/MT: Trillion-Token Multi-Parallel Pre-Training Data Translated Across 36 Languages Deduplicating Training Data Makes Language Models Better

Reference 66

Resolution
metadata mismatch
doi, observed 2026-07-02T13:16:57.874102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-07-02T13:14:15.684960Z digest=sha256:a9b01122bb6ef87043dc2952614c311051407a25200d53462606010517588a4a

Observation 09423398-067b-4a2f-92d4-e1024cf14432 · outbound

This paper cites Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing , month = nov, year =.

MultiSynt/MT: Trillion-Token Multi-Parallel Pre-Training Data Translated Across 36 Languages Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing , month = nov, year =

Reference 67

Resolution
verified exact
doi, observed 2026-07-02T13:16:57.900094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-07-02T13:14:15.684960Z digest=sha256:6db7190d001d23cfb0dae98a40a809e3929eb591b88911268c739adadf306e00

Observation 4cdd2f01-b7cc-480d-8984-9683596a0787 · outbound

This paper cites an unresolved cited work.

MultiSynt/MT: Trillion-Token Multi-Parallel Pre-Training Data Translated Across 36 Languages Unresolved cited work

Reference 68

Resolution
unresolved
raw_fallback, observed 2026-07-06T01:21:43.985135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-07-02T13:14:15.684960Z digest=sha256:ce09dc8bafc5b1809efc7b6a8a70a738e184143161f197c42ab70766fd637764

Observation 83d8390f-6176-402a-aaf1-30d75d2eeb8c · outbound

This paper cites Rethinking Multilingual Continual Pretraining: Data Mixing for Adapting.

MultiSynt/MT: Trillion-Token Multi-Parallel Pre-Training Data Translated Across 36 Languages Rethinking Multilingual Continual Pretraining: Data Mixing for Adapting

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T01:21:44.046036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-07-02T13:14:15.684960Z digest=sha256:7abdbca71f42d04f393cd768cdee6ae7cf3e57674ea211c58b1008e9ad579ea6

Observation b7ea649b-77fe-4f46-83a3-601787770b22 · outbound

This paper cites Transactions of the Association for Computational Linguistics , volume =.

MultiSynt/MT: Trillion-Token Multi-Parallel Pre-Training Data Translated Across 36 Languages Transactions of the Association for Computational Linguistics , volume =

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T01:21:44.034382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-07-02T13:14:15.684960Z digest=sha256:8f2e8cac07e02035c788b9b53322be6dd25e4ae2335dc027ca6d518048fa3a75

Observation 079984b6-d0ed-4adf-80d1-349c3ba1a348 · outbound

This paper cites Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing.

MultiSynt/MT: Trillion-Token Multi-Parallel Pre-Training Data Translated Across 36 Languages Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing

Reference 71

Resolution
verified exact
doi, observed 2026-07-02T13:16:57.926191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-07-02T13:14:15.684960Z digest=sha256:c7637abe2958ed7b6489a3b14819911013bc7cf51286806b7997e700c1881ec6

Observation 24b7b824-93d0-4cef-8236-33665aacd2fe · outbound

This paper cites Chen Liu, Fajri Koto, Timothy Baldwin, and Iryna Gurevych.

MultiSynt/MT: Trillion-Token Multi-Parallel Pre-Training Data Translated Across 36 Languages Chen Liu, Fajri Koto, Timothy Baldwin, and Iryna Gurevych

Reference 72

Resolution
verified exact
doi, observed 2026-07-02T13:16:57.866692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-07-02T13:14:15.684960Z digest=sha256:5e7d3adaac6e74e09642d5c58a5978a215d81b5351d8362820cfe8b22e143d9a

Observation 5bc49604-e973-4e12-8ba2-0f325bad7c56 · outbound

This paper cites Rephrasing the Web: A Recipe for Compute and Data-Efficient Language Modeling.

MultiSynt/MT: Trillion-Token Multi-Parallel Pre-Training Data Translated Across 36 Languages Rephrasing the Web: A Recipe for Compute and Data-Efficient Language Modeling

Reference 73

Resolution
verified exact
doi, observed 2026-07-02T13:16:57.915870Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-07-02T13:14:15.684960Z digest=sha256:5a59380791511eb578f03615d735f9cbbd1d9bcbdb6faf31dc79d6b4a71812fd

Observation 5fa083b6-4851-4243-858e-480b7236b435 · outbound

This paper cites Having Beer after Prayer? Measuring Cultural Bias in Large Language Models.

MultiSynt/MT: Trillion-Token Multi-Parallel Pre-Training Data Translated Across 36 Languages Having Beer after Prayer? Measuring Cultural Bias in Large Language Models

Reference 74

Resolution
metadata mismatch
doi, observed 2026-07-02T13:16:57.870104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-07-02T13:14:15.684960Z digest=sha256:ea9a8b086d4c83ed0e3357525a372dd9ea13ef47cf3035f3d3f6a50ad19e4b55

Observation d4d46596-608c-4737-b11e-3202fc87b0fe · outbound

This paper cites and Nguyen, Thien Huu.

MultiSynt/MT: Trillion-Token Multi-Parallel Pre-Training Data Translated Across 36 Languages and Nguyen, Thien Huu

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T01:21:43.956668Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-07-02T13:14:15.684960Z digest=sha256:86f6b66b07038e0a2ee3f84a936250d6c89fc3be337263b857bc36e0bd14cf16

Observation 40a49b73-076f-452e-9535-17041fdb8d03 · outbound

This paper cites Nature , volume =.

MultiSynt/MT: Trillion-Token Multi-Parallel Pre-Training Data Translated Across 36 Languages Nature , volume =

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T01:21:43.974860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-07-02T13:14:15.684960Z digest=sha256:f72471b33d9f25f402dded14f5d020bc106cf94ee9ea9f6661dc2f1cb65e7a8d

Observation 322f4145-1ef7-430e-8b6a-57f6c9ad978e · outbound

This paper cites an unresolved cited work.

MultiSynt/MT: Trillion-Token Multi-Parallel Pre-Training Data Translated Across 36 Languages Unresolved cited work

Reference 77

Resolution
parse uncertain
raw_fallback, observed 2026-07-06T01:21:43.967892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-07-02T13:14:15.684960Z digest=sha256:a9fa4f1df33b22c9ff03fe486ac0d8dcc2767f2eece63950049cafe28be5dc58

Observation 3db15e0e-14c5-4e9d-9c73-4022143e93a3 · outbound

This paper cites Computational Linguistics , volume =.

MultiSynt/MT: Trillion-Token Multi-Parallel Pre-Training Data Translated Across 36 Languages Computational Linguistics , volume =

Reference 78

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T01:21:44.027342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-07-02T13:14:15.684960Z digest=sha256:c7d641db05440723051c9528e3d058bcdce9a04c3e9b336fe1e7ed391bb94692

Observation 139045d0-17f7-4055-aaf4-9ded7e5b13df · outbound

This paper cites an unresolved cited work.

MultiSynt/MT: Trillion-Token Multi-Parallel Pre-Training Data Translated Across 36 Languages Unresolved cited work

Reference 79

Resolution
unresolved
raw_fallback, observed 2026-07-06T01:21:43.943981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-07-02T13:14:15.684960Z digest=sha256:fe947fa17c3d5c08ec595a99bd299e33968b027d7fb219abf098ea8b3e60c036

Observation 527b3a63-2ad6-42c9-a0be-1b4b2bdfdcd6 · outbound

This paper cites CoRR , volume =.

MultiSynt/MT: Trillion-Token Multi-Parallel Pre-Training Data Translated Across 36 Languages CoRR , volume =

Reference 80

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T01:21:44.041206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-07-02T13:14:15.684960Z digest=sha256:1a5b1eaa7d5139506fb4c988257a3f74d0626af4b85d88f7992153b79f284bc7

Observation 5fbbbe16-28a0-414b-9107-82637b0410c6 · outbound

This paper cites 2026 , publisher =.

MultiSynt/MT: Trillion-Token Multi-Parallel Pre-Training Data Translated Across 36 Languages 2026 , publisher =

Reference 81

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T01:21:43.947528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-07-02T13:14:15.684960Z digest=sha256:92392b511850b2d920c3e03bd5a3afed8db72526b8bb4f0f497c14a1271d5e8b

Observation dd4551a1-a1bf-43e2-8ab2-187cdf35bf39 · outbound

This paper cites Journal of Machine Learning Research , volume =.

MultiSynt/MT: Trillion-Token Multi-Parallel Pre-Training Data Translated Across 36 Languages Journal of Machine Learning Research , volume =

Reference 82

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T01:21:44.006211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-07-02T13:14:15.684960Z digest=sha256:ba94daaa114b3dfb62d7082b6ccf1dee75402e6775d691fcb9269e9b29224122

Observation cfef988f-0481-4b15-aede-dea4df5801e0 · outbound

This paper cites Translationese as a Language in ``Multilingual''.

MultiSynt/MT: Trillion-Token Multi-Parallel Pre-Training Data Translated Across 36 Languages Translationese as a Language in ``Multilingual''

Reference 83

Resolution
verified exact
doi, observed 2026-07-02T13:16:57.884099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-07-02T13:14:15.684960Z digest=sha256:2c120fec9ddb9cf5d86872bc39c384a721b7c90303e8403fe319dd131aee6663

Observation 3f30e331-ab03-4180-a0b5-526ab79588ee · outbound

This paper cites CoRR , volume =.

MultiSynt/MT: Trillion-Token Multi-Parallel Pre-Training Data Translated Across 36 Languages CoRR , volume =

Reference 84

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T01:21:44.008068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-07-02T13:14:15.684960Z digest=sha256:5042b24a9847a7bcaac5933955388668a33644aabd240ace25a60b3163da6721

Observation 2a7ee845-0ed1-4816-9b25-e1df33ebb723 · outbound

This paper cites an unresolved cited work.

MultiSynt/MT: Trillion-Token Multi-Parallel Pre-Training Data Translated Across 36 Languages Unresolved cited work

Reference 85

Resolution
unresolved
raw_fallback, observed 2026-07-06T01:21:44.028069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-07-02T13:14:15.684960Z digest=sha256:357a36d598b142dc291a1307715224734c71fbc34a29bacb1230528c1156e4fe

Observation 704490ae-a86e-4abb-8b87-bc5938aa25b8 · outbound

This paper cites 2022 , doi =.

MultiSynt/MT: Trillion-Token Multi-Parallel Pre-Training Data Translated Across 36 Languages 2022 , doi =

Reference 86

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T01:21:44.018264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-07-02T13:14:15.684960Z digest=sha256:e8982099c1387b914f0582fb95a57a324b6bd9d6b7e02f3a89a401c300294ccf

Observation bf23c7cb-a70f-456e-aaf3-6173c4b1723f · outbound

This paper cites Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages =.

MultiSynt/MT: Trillion-Token Multi-Parallel Pre-Training Data Translated Across 36 Languages Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages =

Reference 87

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T01:21:44.000814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-07-02T13:14:15.684960Z digest=sha256:4bdf88006b060acc5891e93badbd684d4aab7d2265ef9cae98abe5daf7fc04e6

Observation fd18870b-ebe7-4d86-91f6-677dc74517e0 · outbound

This paper cites Evaluation data contamination in LLMs: how do we measure it and (when) does it matter?.

MultiSynt/MT: Trillion-Token Multi-Parallel Pre-Training Data Translated Across 36 Languages Evaluation data contamination in LLMs: how do we measure it and (when) does it matter?

Reference 88

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T13:16:58.131717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-07-02T13:14:15.684960Z digest=sha256:edef90465fd2efd6f3014fc3f62a826b5bdeef978f2aaab5c95a29a9d20b1e56

Observation e04c56ea-5cb5-4bf6-a08b-8ecef116ac8b · outbound

This paper cites Global MMLU : Understanding and addressing cultural and linguistic biases in multilingual evaluation.

MultiSynt/MT: Trillion-Token Multi-Parallel Pre-Training Data Translated Across 36 Languages Global MMLU : Understanding and addressing cultural and linguistic biases in multilingual evaluation

Reference 89

Resolution
verified exact
doi, observed 2026-07-02T13:16:57.888494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-07-02T13:14:15.684960Z digest=sha256:2aa29a4fa37ec6cf931216fefb0542688fd3cb4b41775a148c18e491077d4f80

Observation 749f551f-3010-4d11-956a-9b78862ecf95 · outbound

This paper cites Democratizing neural machine translation with.

MultiSynt/MT: Trillion-Token Multi-Parallel Pre-Training Data Translated Across 36 Languages Democratizing neural machine translation with

Reference 90

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T01:21:43.996086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-07-02T13:14:15.684960Z digest=sha256:6f06fc409b25b5a29fc02ad99d5ae2dbe5bfda6b5a693467f5385d14e77175cf

Observation 3128f222-b195-4167-be03-f4557c16bd6d · outbound

This paper cites Proceedings of the 22nd Annual Conference of the European Association for Machine Translation , year =.

MultiSynt/MT: Trillion-Token Multi-Parallel Pre-Training Data Translated Across 36 Languages Proceedings of the 22nd Annual Conference of the European Association for Machine Translation , year =

Reference 91

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T01:21:43.988925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-07-02T13:14:15.684960Z digest=sha256:16dc0d0fa8fdf15a9f1110a5cdf7d6b20dd0c5d06da613b2f44e06078c94d822

Observation 9c728279-f9d3-4951-8078-3d1e7818ac9b · outbound

This paper cites Not Enough Data to Pre-train Your Language Model?.

MultiSynt/MT: Trillion-Token Multi-Parallel Pre-Training Data Translated Across 36 Languages Not Enough Data to Pre-train Your Language Model?

Reference 92

Resolution
verified exact
doi, observed 2026-07-02T13:16:57.931193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-07-02T13:14:15.684960Z digest=sha256:eb424bd04368f90cef62d581610fa8a00f6f9825f08625bae6df40da01d7c793

Observation 41b44281-7f1a-4b17-a230-82422917b6c2 · outbound

This paper cites Machine Translationese: Effects of Algorithmic Bias on Linguistic Complexity in Machine Translation.

MultiSynt/MT: Trillion-Token Multi-Parallel Pre-Training Data Translated Across 36 Languages Machine Translationese: Effects of Algorithmic Bias on Linguistic Complexity in Machine Translation

Reference 93

Resolution
metadata mismatch
doi, observed 2026-07-02T13:16:57.891064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-07-02T13:14:15.684960Z digest=sha256:c53eb548b4eda587db940c2c604ed60e7fa061f661811ccd9faa368df9c99f3a

Observation e2fb1d9c-ec0b-4c40-ae94-a61e4dd1a6d9 · outbound

This paper cites Proceedings of the 5th Workshop on Multilingual Representation Learning , month = nov, year =.

MultiSynt/MT: Trillion-Token Multi-Parallel Pre-Training Data Translated Across 36 Languages Proceedings of the 5th Workshop on Multilingual Representation Learning , month = nov, year =

Reference 94

Resolution
verified exact
doi, observed 2026-07-02T13:16:57.902483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-07-02T13:14:15.684960Z digest=sha256:e23754f04373b85dd043221e1d2002d8eb85cb9a5eb9bc4e4769605cf87aa3ea

Observation b2b00ca6-2d1e-44d5-8090-685df72690ff · outbound

This paper cites Replacing Judges with Juries: Evaluating.

MultiSynt/MT: Trillion-Token Multi-Parallel Pre-Training Data Translated Across 36 Languages Replacing Judges with Juries: Evaluating

Reference 95

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T01:21:44.038031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-07-02T13:14:15.684960Z digest=sha256:c630736eb9a9f5143b7104411ce2dd61388e9b800439b92e8123217fe5c0f6b2

Observation a96b65c5-5aee-4701-b16c-c6f5893c60e6 · outbound

This paper cites Digital Scholarship in the Humanities , volume =.

MultiSynt/MT: Trillion-Token Multi-Parallel Pre-Training Data Translated Across 36 Languages Digital Scholarship in the Humanities , volume =

Reference 96

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T01:21:44.029230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-07-02T13:14:15.684960Z digest=sha256:276541fbf5cc326e73cc7aebc919d47ac2645f089c323439d091252a02b60343

Observation 0ca5c0b3-5222-42ea-b609-9104846f9f84 · outbound

This paper cites Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing , month = nov, year =.

MultiSynt/MT: Trillion-Token Multi-Parallel Pre-Training Data Translated Across 36 Languages Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing , month = nov, year =

Reference 97

Resolution
verified exact
doi, observed 2026-07-02T13:16:57.896676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-07-02T13:14:15.684960Z digest=sha256:67843a13b9a2771b85e271779604cb6c47f40c77e50d190aeaaa4d1decf5479b

Observation 02cafa7c-8771-4cdf-bbad-4594b4a32e4a · outbound

This paper cites CoRR , volume =.

MultiSynt/MT: Trillion-Token Multi-Parallel Pre-Training Data Translated Across 36 Languages CoRR , volume =

Reference 98

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T01:21:43.999916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-07-02T13:14:15.684960Z digest=sha256:4236be27e3530aba1763f2adc51f5ccd882057863af8550dadf67741f8381ef7

Observation 00baf76d-cb4b-415e-8be5-6d1b3f39dffc · outbound

This paper cites Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing , pages =.

MultiSynt/MT: Trillion-Token Multi-Parallel Pre-Training Data Translated Across 36 Languages Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing , pages =

Reference 99

Resolution
verified exact
doi, observed 2026-07-02T13:16:57.898329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-07-02T13:14:15.684960Z digest=sha256:f79890ecf1552e54d135e93cb7a362d98ccca26b6c2a3327aeec1e785b9ecfb8

Observation 5095c38e-e20d-4489-9306-dcf6edc6dbe4 · outbound

This paper cites Proceedings of the Twelfth Language Resources and Evaluation Conference , pages =.

MultiSynt/MT: Trillion-Token Multi-Parallel Pre-Training Data Translated Across 36 Languages Proceedings of the Twelfth Language Resources and Evaluation Conference , pages =

Reference 100

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T01:21:43.988521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-07-02T13:14:15.684960Z digest=sha256:c78ef47574f6c8b60502994f17f5e677babf33cb4811eea48272948a3e8196bf

Pith citing papers

No inbound Pith citation observations are available.