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Paper Citation Record · LEDGER

EuroLLM: Multilingual Language Models for Europe

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 33 inbound Pith citation observations for arXiv:2409.16235.

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

pith.paper-citation-record.v1
2409.16235 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 33 of 33 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 33 of 33 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:57:16.480946Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

3
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation f1e76f90-3eed-4c59-880c-56f26b9cdc11 · inbound

LL\"aMmlein: Transparent, Compact and Competitive German-Only Language Models from Scratch cites this paper.

LL\"aMmlein: Transparent, Compact and Competitive German-Only Language Models from Scratch EuroLLM: Multilingual Language Models for Europe

Reference 9

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source=pdf_text observed=2026-08-12T18:54:48.110145Z digest=sha256:7acb570a723bdc9222685606fe4245e41414ea9c31def633029d3fa2b17ae709

Observation 0bcd4f09-389d-4ca9-a158-77b305fec2c1 · inbound

Variational Model Merging for Pareto Front Estimation in Multitask Finetuning cites this paper.

Variational Model Merging for Pareto Front Estimation in Multitask Finetuning EuroLLM: Multilingual Language Models for Europe

Reference 39

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source=arxiv_source observed=2026-08-11T18:15:11.010961Z digest=sha256:2d830afb25ee3184a33b1c28837bf8f81a60aa2ac60356772584b347e4b6087f

Observation 9a8424fb-b03a-470b-8796-6f949b1a0c47 · inbound

SnakModel: Lessons Learned from Training an Open Danish Large Language Model cites this paper.

SnakModel: Lessons Learned from Training an Open Danish Large Language Model EuroLLM: Multilingual Language Models for Europe

Reference 54

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source=arxiv_source observed=2026-08-11T13:37:38.495635Z digest=sha256:ea69c0084109108fb46eac0e3e6b7d41db631c9d39c342d5c11a404ee30565fb

Observation fcf54663-ae9c-4b5e-bb81-3c77349ea7eb · inbound

The Veln(ia)s is in the Details: Evaluating LLM Judgment on Latvian and Lithuanian Short Answer Matching cites this paper.

The Veln(ia)s is in the Details: Evaluating LLM Judgment on Latvian and Lithuanian Short Answer Matching EuroLLM: Multilingual Language Models for Europe

Reference 24

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source=arxiv_source observed=2026-08-10T20:14:49.793720Z digest=sha256:b95f1155a02a6be8a4e9ee1326a4e6cdce557d61676835b11247883d19ef909d

Observation b9f2ac4f-075e-44b4-8d2c-1859c41114b3 · inbound

Can open source large language models be used for tumor documentation in Germany? -- An evaluation on urological doctors' notes cites this paper.

Can open source large language models be used for tumor documentation in Germany? -- An evaluation on urological doctors' notes EuroLLM: Multilingual Language Models for Europe

Reference 30

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source=pdf_text observed=2026-08-10T17:33:49.121081Z digest=sha256:92b633a30d1d23d83345a246b64662049ff0c67ca7c268daa5622315035f797e

Observation 79ad62de-63a2-4932-9bc0-d27f94cf36d7 · inbound

BOUQuET: dataset, Benchmark and Open initiative for Universal Quality Evaluation in Translation cites this paper.

BOUQuET: dataset, Benchmark and Open initiative for Universal Quality Evaluation in Translation EuroLLM: Multilingual Language Models for Europe

Reference 24

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no resolver link, observed 2026-08-08T22:52:31.580682Z

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source=arxiv_source observed=2026-08-08T22:52:31.580682Z digest=sha256:424493ffd91f77b8de55b501bcacd6b4e5f8d89befe6cc3b9afc34f6682bf1bf

Observation 89aab7e3-7877-4b3d-9daf-13b67e6a345f · inbound

Tokenization Standards for Linguistic Integrity: Turkish as a Benchmark cites this paper.

Tokenization Standards for Linguistic Integrity: Turkish as a Benchmark EuroLLM: Multilingual Language Models for Europe

Reference 16

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source=pdf_text observed=2026-08-08T13:58:58.571329Z digest=sha256:a9e7c9ea92e0719d07b402b9a3394a1b894cf5d12246f641839df4dca5ae09bb

Observation 6e6b729e-6052-4d5b-a049-d1aa2bdcddd6 · inbound

Salamandra Technical Report cites this paper.

Salamandra Technical Report EuroLLM: Multilingual Language Models for Europe

Reference 130

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source=pdf_text observed=2026-08-08T04:58:33.159288Z digest=sha256:488070ac3c09805e4ae4649099cd9bf35eedc6c7e1ec8ec7b4164cc2b396b743

Observation 60052f16-9870-41a0-ab53-a0461b2cb52e · inbound

Adapting Language-Specific LLMs to a Reasoning Model in One Day via Model Merging -- An Open Recipe cites this paper.

Adapting Language-Specific LLMs to a Reasoning Model in One Day via Model Merging -- An Open Recipe EuroLLM: Multilingual Language Models for Europe

Reference 15

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source=arxiv_source observed=2026-08-07T22:52:27.474544Z digest=sha256:a6a417c6cc58e954b1ca9ea94e128d741cc1f83883febbc9cb0a54b18991bcea

Observation 73bf305f-0b82-47bd-adf2-29f5ad2e8f94 · inbound

Exploring the Feasibility of Multilingual Grammatical Error Correction with a Single LLM up to 9B parameters: A Comparative Study of 17 Models cites this paper.

Exploring the Feasibility of Multilingual Grammatical Error Correction with a Single LLM up to 9B parameters: A Comparative Study of 17 Models EuroLLM: Multilingual Language Models for Europe

Reference 24

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source=arxiv_source observed=2026-08-15T22:54:46.840385Z digest=sha256:196204ccd4173332305a8147879d38607fe385f8345e8666db70f217073c23ae

Observation 781a45e0-a213-4867-8efe-09f2f6ce9722 · inbound

Do Not Change Me: On Transferring Entities Without Modification in Neural Machine Translation -- a Multilingual Perspective cites this paper.

Do Not Change Me: On Transferring Entities Without Modification in Neural Machine Translation -- a Multilingual Perspective EuroLLM: Multilingual Language Models for Europe

Reference 17

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source=arxiv_source observed=2026-08-15T22:57:16.480946Z digest=sha256:439384773feb8ef927544ac349cc7f254cf0b330aba53f4b5ea93a2f48650872

Observation 7a8e9243-08bc-402d-8e50-ffedd33b6b90 · inbound

Granary: Speech Recognition and Translation Dataset in 25 European Languages cites this paper.

Granary: Speech Recognition and Translation Dataset in 25 European Languages EuroLLM: Multilingual Language Models for Europe

Reference 26

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source=pdf_text observed=2026-08-15T20:19:15.100883Z digest=sha256:5dfa8ab65866f94ff4e5d223429a2edaae07d0dd692d3a104e6908b95a693079

Observation 2d210ff1-097d-4e10-b8c4-10105f13033f · inbound

Don't Erase, Inform! Detecting and Contextualizing Harmful Language in Cultural Heritage Collections cites this paper.

Don't Erase, Inform! Detecting and Contextualizing Harmful Language in Cultural Heritage Collections EuroLLM: Multilingual Language Models for Europe

Reference 25

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source=arxiv_source observed=2026-08-07T12:35:29.219942Z digest=sha256:89cba26e631ad60d6ea82a5ceb0ea87fe64566e6d474eea435cb84b8ccf218fa

Observation 2920b360-4f54-485c-a034-4d39e88c725b · inbound

NAVER LABS Europe Submission to the Instruction-following Track cites this paper.

NAVER LABS Europe Submission to the Instruction-following Track EuroLLM: Multilingual Language Models for Europe

Reference 19

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source=pdf_text observed=2026-08-07T11:37:06.575250Z digest=sha256:e158d45e5348fe259af791a9b9431afd5356f14c3e2cd73e9119b4dcecff2cc9

Observation 540dc138-6d8f-400e-b5f5-07af25a2348c · inbound

Beyond Text Compression: Evaluating Tokenizers Across Scales cites this paper.

Beyond Text Compression: Evaluating Tokenizers Across Scales EuroLLM: Multilingual Language Models for Europe

Reference 67

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source=arxiv_source observed=2026-08-07T11:18:10.846695Z digest=sha256:c60b7ad469b2c8435eb49f624bc3250908de108f107bb83e40abb414050d53a9

Observation e25fa407-5a23-4fe7-8284-d1fa209b0dd6 · inbound

Training-free LLM Merging for Multi-task Learning cites this paper.

Training-free LLM Merging for Multi-task Learning EuroLLM: Multilingual Language Models for Europe

Reference 25

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source=arxiv_source observed=2026-08-07T00:59:43.833765Z digest=sha256:f75c0d12555370f654de6b461a80c0dbdb678f99e6bd85ad9d87a089a46c3ecc

Observation 7e9306f7-eb18-40b8-8ac6-fe1facb3aec8 · inbound

Assessing the Role of Data Quality in Training Bilingual Language Models cites this paper.

Assessing the Role of Data Quality in Training Bilingual Language Models EuroLLM: Multilingual Language Models for Europe

Reference 29

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source=arxiv_source observed=2026-08-07T00:42:57.768012Z digest=sha256:a59f059147ad969ba188a984bd7c9233823e572773a95d8c09e3a424cef87085

Observation 912abaa8-18dd-420b-b3a2-6c4210d234ec · inbound

Instituto de Telecomunica\c{c}\~oes at IWSLT 2025: Aligning Small-Scale Speech and Language Models for Speech-to-Text Learning cites this paper.

Instituto de Telecomunica\c{c}\~oes at IWSLT 2025: Aligning Small-Scale Speech and Language Models for Speech-to-Text Learning EuroLLM: Multilingual Language Models for Europe

Reference 18

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source=pdf_text observed=2026-08-06T23:34:08.333794Z digest=sha256:7eebbe9c4e06f3ecce285a2f2df2052380ffe4dabde86483d484072bfe0e7af3

Observation 625f2c4b-72a3-4845-8b53-88ec1aac03cc · inbound

How Important is `Perfect' English for Machine Translation Prompts? cites this paper.

How Important is `Perfect' English for Machine Translation Prompts? EuroLLM: Multilingual Language Models for Europe

Reference 22

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source=arxiv_source observed=2026-08-06T17:56:59.977179Z digest=sha256:b9b5d246604c19e48fadec4c6b48c3ef904ac5707169c8441c0e4d0fdd78df59

Observation 27a7ff94-4e10-4a21-89c4-d5a6bcadce0f · inbound

EsBBQ and CaBBQ: The Spanish and Catalan Bias Benchmarks for Question Answering cites this paper.

EsBBQ and CaBBQ: The Spanish and Catalan Bias Benchmarks for Question Answering EuroLLM: Multilingual Language Models for Europe

Reference 40

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source=arxiv_source observed=2026-08-06T17:20:22.546741Z digest=sha256:cd11ce27eeaa3003da57512e23c67fb0314858009b5123746ba9660b119e4ae6

Observation d8f8a20e-b9e4-4083-8647-7390d38126f9 · inbound

A Recipe for Long-Context Reasoning in Large Language Models via On-Policy Optimization and Distillation cites this paper.

A Recipe for Long-Context Reasoning in Large Language Models via On-Policy Optimization and Distillation EuroLLM: Multilingual Language Models for Europe

Reference 23

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arxiv_id, observed 2026-05-13T05:32:19.390695Z

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=arxiv_source observed=2026-05-13T05:29:00.576006Z digest=sha256:f255ed130a144527fe10114e45803aae3093047b2059ecbe4a9be5500fe8a502

Observation fba316ba-d4ad-4980-a472-f82d42ca9177 · inbound

On the Limits of Model Merging for Multilinguality in Pre-Training cites this paper.

On the Limits of Model Merging for Multilinguality in Pre-Training EuroLLM: Multilingual Language Models for Europe

Reference 30

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arxiv_id, observed 2026-06-29T21:23:58.231827Z

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

source=arxiv_source observed=2026-06-29T21:21:04.538174Z digest=sha256:72870a8236a75643977b4dd67037f1dc3f4346fea1723a6ae182b92a82ff7ba7

Observation c851a5f4-81b7-4622-8347-6a64d4df0e05 · inbound

KletterMix: Climbing Toward High-Quality German Pretraining Data - The Full Report cites this paper.

KletterMix: Climbing Toward High-Quality German Pretraining Data - The Full Report EuroLLM: Multilingual Language Models for Europe

Reference 25

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arxiv_id, observed 2026-07-02T03:06:29.800379Z

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source=pdf_text observed=2026-06-28T10:22:13.045492Z digest=sha256:6e9c6d8079313907799a66fa4daa266d011dc88e92b1bdce4dc9cfee9e0e6734

Observation 71154d35-87cf-4b84-b21c-edc1794cfbaf · inbound

KletterMix: Climbing Toward High-Quality German Pretraining Data - The Full Report cites this paper.

KletterMix: Climbing Toward High-Quality German Pretraining Data - The Full Report EuroLLM: Multilingual Language Models for Europe

Reference 25

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source=pdf_text observed=2026-08-02T12:28:25.862948Z digest=sha256:5fbbf8be7790691deae3d61e2652aa11bfdd46f306fda0cb2ecd4eca7fa5434a

Observation 1a098876-b9db-4473-8b10-923d48033293 · inbound

AMALIA-VL: A Native European Portuguese Open-Source Vision and Language Model cites this paper.

AMALIA-VL: A Native European Portuguese Open-Source Vision and Language Model EuroLLM: Multilingual Language Models for Europe

Reference 29

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arxiv_id, observed 2026-07-04T00:19:12.976104Z

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source=pdf_text observed=2026-06-26T21:22:53.792778Z digest=sha256:1ed9df04f324f9c87571b760c05742a9338072c45fb1fa5dd562b27ea3b2bd1c

Observation 6bdfcbeb-509d-4c77-9cbc-a5f8091d43df · inbound

AMALIA-VL: A Native European Portuguese Open-Source Vision and Language Model cites this paper.

AMALIA-VL: A Native European Portuguese Open-Source Vision and Language Model EuroLLM: Multilingual Language Models for Europe

Reference 30

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arxiv_id, observed 2026-07-01T07:35:28.809236Z

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

source=pdf_text observed=2026-07-01T07:34:37.974692Z digest=sha256:a095f0cee46d3909fff809cd7d1c1e7fbed452cdffa7be4cd5ccf22a97040ffd

Observation 77f7175e-a19e-4d25-985f-663af755bc07 · inbound

AMALIA-VL: A Native European Portuguese Open-Source Vision and Language Model cites this paper.

AMALIA-VL: A Native European Portuguese Open-Source Vision and Language Model EuroLLM: Multilingual Language Models for Europe

Reference 30

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arxiv_id, observed 2026-07-02T22:17:24.983780Z

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

source=pdf_text observed=2026-07-02T22:15:14.561596Z digest=sha256:6138205f23c5ad337c1ed52a20fc22e4db50b06b7713a5a28096498a0cfb1c69

Observation fafd6661-304a-4d92-bde0-e911d7c759fd · inbound

A Sovereign, Open-Source Foundation Model for German and English cites this paper.

A Sovereign, Open-Source Foundation Model for German and English EuroLLM: Multilingual Language Models for Europe

Reference 53

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source=pdf_text observed=2026-07-13T03:06:27.991558Z digest=sha256:28f9a705ee920c61633602b9ff5488fdcf5ff99f8f4920fb1ddc0eb215dd6a8f

Observation 57d1613f-6ea2-420d-a1ff-19402830add2 · inbound

A Sovereign, Open-Source Foundation Model for German and English cites this paper.

A Sovereign, Open-Source Foundation Model for German and English EuroLLM: Multilingual Language Models for Europe

Reference 53

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no resolver link, observed 2026-07-14T15:13:39.458378Z

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source=pdf_text observed=2026-07-14T15:13:39.458378Z digest=sha256:ff141e8c6caaa17c822557d47bc28da50ad953443a3c1f59f49e42c66062ad1a

Observation 69a185fe-28d7-46f7-82b8-8556f103fb61 · inbound

A Sovereign, Open-Source Foundation Model for German and English cites this paper.

A Sovereign, Open-Source Foundation Model for German and English EuroLLM: Multilingual Language Models for Europe

Reference 53

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source=pdf_text observed=2026-08-02T07:45:35.044855Z digest=sha256:66774c2c1ed8b29b20c5c442ab5f356f3986b463ee0111a1c436211922bf69ee

Observation 2beb752a-9072-42c3-91f6-8d5fff155d3a · inbound

Comparing and Modeling Argumentation in German Political Communication across Arenas cites this paper.

Comparing and Modeling Argumentation in German Political Communication across Arenas EuroLLM: Multilingual Language Models for Europe

Reference 10

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source=arxiv_source observed=2026-08-04T00:51:20.779050Z digest=sha256:df2a8edad71d936f0dd84701994b1dc27e4f476c7f95f512d3486bd95b4e678c

Observation 23e82891-e3d8-41b8-aea9-285f2aee0da6 · inbound

MameLoshnLM: Yiddish Language Model and Evaluation Benchmark cites this paper.

MameLoshnLM: Yiddish Language Model and Evaluation Benchmark EuroLLM: Multilingual Language Models for Europe

Reference 54

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source=arxiv_source observed=2026-08-07T22:27:36.607231Z digest=sha256:58da34270046db6211a9aea59fcae3c1d70c63694f5c35557e677b564a957964

Observation 6d0b2c6f-a56e-4984-9758-300680aca8e1 · inbound

Measuring Task-Agnostic Training Data Influence Across Language Model Pretraining cites this paper.

Measuring Task-Agnostic Training Data Influence Across Language Model Pretraining EuroLLM: Multilingual Language Models for Europe

Reference 9

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source=pdf_text observed=2026-08-14T05:20:28.694299Z digest=sha256:7a1511ad323145b1a2750331ee2033c0a85815ba31b2f50f7b182760560a799b