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Paper Citation Record · LEDGER

From Values to Benchmarks: Evaluating Large Language Models for Governmental Use in Dutch

As of 14 August 2026, this Paper Citation Record lists 77 of 77 outbound references and 0 inbound Pith citation observations for arXiv:2608.09925.

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

pith.paper-citation-record.v1
2608.09925 v1

Coverage vector

measured 77 of 77 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T04:15:50.453118Z

measured 77 of 77 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+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

77 of 77 outbound references displayed

  • verified exact0
  • verified fuzzy28
  • unresolved46
  • parse uncertain2
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 65bda534-6390-4a18-936c-c885c4249b49 · outbound

This paper cites Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities.

From Values to Benchmarks: Evaluating Large Language Models for Governmental Use in Dutch Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities

Reference 1

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Observation f2ff29d1-b08e-45ba-9da7-4ef0ce1eb598 · outbound

This paper cites GPT-4 Technical Report.

From Values to Benchmarks: Evaluating Large Language Models for Governmental Use in Dutch GPT-4 Technical Report

Reference 2

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Observation a43fa297-80fb-423e-aa19-1fc4cbd1bb1b · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

From Values to Benchmarks: Evaluating Large Language Models for Governmental Use in Dutch LLaMA: Open and Efficient Foundation Language Models

Reference 3

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Observation 1feaeb13-ec9b-43fb-8f14-a2d20ffa772c · outbound

This paper cites Advances in neural information processing systems , volume=.

From Values to Benchmarks: Evaluating Large Language Models for Governmental Use in Dutch Advances in neural information processing systems , volume=

Reference 4

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Observation 27dca7fa-e952-4fbf-a1d5-2a6ee71605ec · outbound

This paper cites Advances in neural information processing systems , volume=.

From Values to Benchmarks: Evaluating Large Language Models for Governmental Use in Dutch Advances in neural information processing systems , volume=

Reference 5

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Observation 59f90afa-1d14-434e-b1be-53896cf2b46e · outbound

This paper cites Telecommunications policy , volume=.

From Values to Benchmarks: Evaluating Large Language Models for Governmental Use in Dutch Telecommunications policy , volume=

Reference 6

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Source-reported events for the cited work

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This paper cites Government information quarterly , volume=.

From Values to Benchmarks: Evaluating Large Language Models for Governmental Use in Dutch Government information quarterly , volume=

Reference 7

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Source-reported events for the cited work

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Observation 509f096f-ebf8-4f9a-8c85-27441266277f · outbound

This paper cites European Journal of Social Security , volume=.

From Values to Benchmarks: Evaluating Large Language Models for Governmental Use in Dutch European Journal of Social Security , volume=

Reference 8

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Observation c67244c6-792e-4b89-b4e7-957c90311c70 · outbound

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

From Values to Benchmarks: Evaluating Large Language Models for Governmental Use in Dutch Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing , pages=

Reference 9

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Observation 7bef12fe-a67b-48ca-85ce-ffcb8c8d04a5 · outbound

This paper cites INCLUDE: Evaluating Multilingual Language Understanding with Regional Knowledge.

From Values to Benchmarks: Evaluating Large Language Models for Governmental Use in Dutch INCLUDE: Evaluating Multilingual Language Understanding with Regional Knowledge

Reference 10

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Observation 2d3ed7f8-2415-431c-9c42-617aaea06e9a · outbound

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

From Values to Benchmarks: Evaluating Large Language Models for Governmental Use in Dutch Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing , pages=

Reference 11

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Observation 3740ec46-eea5-4231-85a7-a72392c512c1 · outbound

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From Values to Benchmarks: Evaluating Large Language Models for Governmental Use in Dutch Transactions on Machine Learning Research , year=

Reference 12

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Observation 547bf310-5a75-41ae-9498-e7edd200614c · outbound

This paper cites GEITje: een groot open Nederlands taalmodel , shorttitle =.

From Values to Benchmarks: Evaluating Large Language Models for Governmental Use in Dutch GEITje: een groot open Nederlands taalmodel , shorttitle =

Reference 13

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Source-reported events for the cited work

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Observation 3ca86f3d-54af-4865-82db-81fe058d544c · outbound

This paper cites Proceedings of the 57th annual meeting of the association for computational linguistics , pages=.

From Values to Benchmarks: Evaluating Large Language Models for Governmental Use in Dutch Proceedings of the 57th annual meeting of the association for computational linguistics , pages=

Reference 14

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Observation a818207d-db1c-45ae-823e-da6dc2a7992b · outbound

This paper cites Proceedings of the 2024 ACM conference on fairness, accountability, and transparency , pages=.

From Values to Benchmarks: Evaluating Large Language Models for Governmental Use in Dutch Proceedings of the 2024 ACM conference on fairness, accountability, and transparency , pages=

Reference 15

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Observation 9d8872d5-a51e-4184-90c1-d75aeee6e346 · outbound

This paper cites Quantifying the Carbon Emissions of Machine Learning.

From Values to Benchmarks: Evaluating Large Language Models for Governmental Use in Dutch Quantifying the Carbon Emissions of Machine Learning

Reference 16

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Observation f9bee712-8313-4257-8894-5256bb14317e · outbound

This paper cites BERTje: A Dutch BERT Model.

From Values to Benchmarks: Evaluating Large Language Models for Governmental Use in Dutch BERTje: A Dutch BERT Model

Reference 17

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Observation 32263682-70fe-4c63-8403-e35e26ade5a1 · outbound

This paper cites Findings of the association for computational linguistics: EMNLP 2020 , pages=.

From Values to Benchmarks: Evaluating Large Language Models for Governmental Use in Dutch Findings of the association for computational linguistics: EMNLP 2020 , pages=

Reference 18

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Observation dbf5f15b-b203-4a95-8a50-fa5b47e00b3d · outbound

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From Values to Benchmarks: Evaluating Large Language Models for Governmental Use in Dutch Encoder vs Decoder: Comparative Analysis of Encoder and Decoder Language Models on Multilingual NLU Tasks

Reference 19

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Observation 82fbc123-7f99-4980-bf17-de6436fc4ce1 · outbound

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From Values to Benchmarks: Evaluating Large Language Models for Governmental Use in Dutch Unresolved cited work

Reference 20

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Observation db03c3ec-db51-4a11-a72e-c0ad93ffdfb0 · outbound

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From Values to Benchmarks: Evaluating Large Language Models for Governmental Use in Dutch 2025 , month =

Reference 21

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Observation 20c60e0c-a7fb-47d9-9025-e24bf3f2ac88 · outbound

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From Values to Benchmarks: Evaluating Large Language Models for Governmental Use in Dutch 2025 , month =

Reference 22

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Observation 749fd45f-f6c6-445f-80e0-106a461a5a3b · outbound

This paper cites Low-Resource Languages Jailbreak GPT-4.

From Values to Benchmarks: Evaluating Large Language Models for Governmental Use in Dutch Low-Resource Languages Jailbreak GPT-4

Reference 23

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Observation 2b544e77-1e70-46c8-901d-9253df04b52e · outbound

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From Values to Benchmarks: Evaluating Large Language Models for Governmental Use in Dutch Pending submission

Reference 24

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Observation 287dbf20-d41e-4dc2-b085-5002b5ff2516 · outbound

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From Values to Benchmarks: Evaluating Large Language Models for Governmental Use in Dutch Advances in Neural Information Processing Systems , volume=

Reference 25

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Observation fc86b4ff-f50e-443f-b78b-adfa071959e4 · outbound

This paper cites BeHonest: Benchmarking Honesty in Large Language Models.

From Values to Benchmarks: Evaluating Large Language Models for Governmental Use in Dutch BeHonest: Benchmarking Honesty in Large Language Models

Reference 26

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Observation 2d9a8600-25bd-4edc-8688-0bafe4b0586e · outbound

This paper cites The political ideology of conversational AI: Converging evidence on ChatGPT's pro-environmental, left-libertarian orientation.

From Values to Benchmarks: Evaluating Large Language Models for Governmental Use in Dutch The political ideology of conversational AI: Converging evidence on ChatGPT's pro-environmental, left-libertarian orientation

Reference 27

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From Values to Benchmarks: Evaluating Large Language Models for Governmental Use in Dutch PloS one , volume=

Reference 28

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Observation 224fa6fa-39c4-4536-9b8b-a3b8aff85088 · outbound

This paper cites Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society , year=.

From Values to Benchmarks: Evaluating Large Language Models for Governmental Use in Dutch Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society , year=

Reference 29

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Source-reported events for the cited work

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From Values to Benchmarks: Evaluating Large Language Models for Governmental Use in Dutch arXiv preprint arXiv:2601.08785 , year=

Reference 30

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Observation ea88fa7e-2a71-4bc5-8928-94ea95e64a67 · outbound

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From Values to Benchmarks: Evaluating Large Language Models for Governmental Use in Dutch Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Reference 31

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Observation f6658ab6-13d1-4a6b-9915-7a3c8ce8e323 · outbound

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From Values to Benchmarks: Evaluating Large Language Models for Governmental Use in Dutch tinyBenchmarks: evaluating LLMs with fewer examples

Reference 32

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Observation 2f9ac80b-b3ab-4b01-ad5f-2bfc61acced6 · outbound

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From Values to Benchmarks: Evaluating Large Language Models for Governmental Use in Dutch Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: System Demonstrations , pages=

Reference 33

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Observation 6aa152bb-944e-4066-89a8-6c6ba9f70849 · outbound

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From Values to Benchmarks: Evaluating Large Language Models for Governmental Use in Dutch Proceedings of the 2020 conference on empirical methods in natural language processing (EMNLP) , pages=

Reference 34

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Unavailable: canonical work link unavailable.

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This paper cites Proceedings of the 15th International Conference on Recent Advances in Natural Language Processing-Natural Language Processing in the Generative AI Era , pages=.

From Values to Benchmarks: Evaluating Large Language Models for Governmental Use in Dutch Proceedings of the 15th International Conference on Recent Advances in Natural Language Processing-Natural Language Processing in the Generative AI Era , pages=

Reference 35

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Observation 9fe2a5e1-15c8-42dd-bd8a-2189dac4fd9c · outbound

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From Values to Benchmarks: Evaluating Large Language Models for Governmental Use in Dutch Unresolved cited work

Reference 36

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raw_fallback, observed 2026-08-11T04:16:02.820106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T04:15:50.224827Z digest=sha256:a6a3d651ac27635d1084965e0dc33923ff9abc821ff949ccb71a13692afd4fc0

Observation 6a7f0154-340c-4fdc-b1a5-0465ddbcd5a4 · outbound

This paper cites Proceedings of the 60th annual meeting of the association for computational linguistics (volume 1: long papers) , pages=.

From Values to Benchmarks: Evaluating Large Language Models for Governmental Use in Dutch Proceedings of the 60th annual meeting of the association for computational linguistics (volume 1: long papers) , pages=

Reference 37

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no resolver link, observed 2026-08-11T04:15:50.230578Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T04:15:50.230578Z digest=sha256:6422f70ab7a51d3f013d3ce7d500b114400d2397589d1b481954c8a11c79970c

Observation ae4fd28e-bb08-49ed-a7b3-72da331302df · outbound

This paper cites Findings of the Association for Computational Linguistics: ACL 2022 , pages=.

From Values to Benchmarks: Evaluating Large Language Models for Governmental Use in Dutch Findings of the Association for Computational Linguistics: ACL 2022 , pages=

Reference 38

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no resolver link, observed 2026-08-11T04:15:50.235724Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T04:15:50.235724Z digest=sha256:45453e47ac1e47d882ad29342d7491913d8535c49b64016654fee83cc4c509eb

Observation c2601e12-de8c-4528-9db1-449b9b46df53 · outbound

This paper cites Measuring Massive Multitask Language Understanding.

From Values to Benchmarks: Evaluating Large Language Models for Governmental Use in Dutch Measuring Massive Multitask Language Understanding

Reference 39

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no resolver link, observed 2026-08-11T04:15:50.241431Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T04:15:50.241431Z digest=sha256:76cf2304aa0d943f953040ff053b0cd5e717dfa8d198fcdd892fde1464171c26

Observation 04e13413-6b6c-4120-a6b7-2cbf99295609 · outbound

This paper cites MBBQ: A Dataset for Cross-Lingual Comparison of Stereotypes in Generative LLMs.

From Values to Benchmarks: Evaluating Large Language Models for Governmental Use in Dutch MBBQ: A Dataset for Cross-Lingual Comparison of Stereotypes in Generative LLMs

Reference 40

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unresolved
no resolver link, observed 2026-08-11T04:15:50.247552Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T04:15:50.247552Z digest=sha256:9b7dd80e9385e7e8c235d05f8f7adcd20e7254c2edff3f756bb59b95fae997b9

Observation 1f9e392f-045f-49c1-8ec5-a8beab3e9a77 · outbound

This paper cites Proceedings of the 2023 conference on empirical methods in natural language processing , pages=.

From Values to Benchmarks: Evaluating Large Language Models for Governmental Use in Dutch Proceedings of the 2023 conference on empirical methods in natural language processing , pages=

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T04:16:02.781074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T04:15:50.254727Z digest=sha256:331a9ddddd13d495c5efa977d7a22c1b17c132e0b2e2afd5fde69dbd79cb2fc2

Observation fe66995b-c666-4f1c-bd04-f87974963e67 · outbound

This paper cites Proceedings of the 2024 joint international conference on computational linguistics, language resources and evaluation (lrec-coling 2024) , pages=.

From Values to Benchmarks: Evaluating Large Language Models for Governmental Use in Dutch Proceedings of the 2024 joint international conference on computational linguistics, language resources and evaluation (lrec-coling 2024) , pages=

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T04:16:02.764354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T04:15:50.261054Z digest=sha256:144e975e0cc5edab2202644f1dae6ea0488d910947f2bfd0996e0c31d3adf032

Observation 43498d15-060c-4f3a-b39e-2cf7f9b0c2b9 · outbound

This paper cites Online:< https://ticclops.

From Values to Benchmarks: Evaluating Large Language Models for Governmental Use in Dutch Online:< https://ticclops

Reference 43

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verified fuzzy
raw_fallback, observed 2026-08-11T04:16:02.747690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T04:15:50.267364Z digest=sha256:370f6d51ca9af67f996a9f5833cb62f91c566debcad5eec3a749ece16a0ec630

Observation 98e3bea8-9de1-4ead-870d-bab5db8c0dcf · outbound

This paper cites CLARIN Annual Conference Proceedings , pages=.

From Values to Benchmarks: Evaluating Large Language Models for Governmental Use in Dutch CLARIN Annual Conference Proceedings , pages=

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T04:16:02.731379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T04:15:50.273694Z digest=sha256:443164e4c23e06b45d7a46fa4ae7caa4ebb2077ef1d5c6cbc7b50cd2cce50f97

Observation ef2f24ce-dd09-4404-be85-34d247c262d6 · outbound

This paper cites Proceedings of the 2018 conference on empirical methods in natural language processing , pages=.

From Values to Benchmarks: Evaluating Large Language Models for Governmental Use in Dutch Proceedings of the 2018 conference on empirical methods in natural language processing , pages=

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T04:16:02.712268Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T04:15:50.279029Z digest=sha256:f70553f9e83d40c7dc5266f994b9e394af518a01c61e489a11c9fa87aff9ad72

Observation 702c8270-c0fb-4578-b5ee-e6a8287cef27 · outbound

This paper cites Advances in neural information processing systems , volume=.

From Values to Benchmarks: Evaluating Large Language Models for Governmental Use in Dutch Advances in neural information processing systems , volume=

Reference 46

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unresolved
no resolver link, observed 2026-08-11T04:15:50.284065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T04:15:50.284065Z digest=sha256:8d18718c58efc5896c0df9c42e4016e1513690000fe953fdb4b0c2fa5a42f07a

Observation 4cefecae-94ba-476d-a90d-2929ca3b3499 · outbound

This paper cites Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=.

From Values to Benchmarks: Evaluating Large Language Models for Governmental Use in Dutch Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T04:16:02.685440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T04:15:50.288808Z digest=sha256:d1a32e8bcbccd005c3dc5294c2092e854c8cd0cd183d4bb595cd1def757359fc

Observation 40b9e843-fe37-454f-b5c2-c6f94ea407f7 · outbound

This paper cites Proceedings of the ACM SIGOPS 29th Symposium on Operating Systems Principles , year=.

From Values to Benchmarks: Evaluating Large Language Models for Governmental Use in Dutch Proceedings of the ACM SIGOPS 29th Symposium on Operating Systems Principles , year=

Reference 48

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unresolved
no resolver link, observed 2026-08-11T04:15:50.293434Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T04:15:50.293434Z digest=sha256:dd634adf93fd77372f2ac741d9e58271ef6aa9885e54811b074f7a9bfa87760c

Observation ae29f9fd-ef3a-42de-bdfd-e488b92fce03 · outbound

This paper cites Proceedings of the 2020 conference on empirical methods in natural language processing: system demonstrations , pages=.

From Values to Benchmarks: Evaluating Large Language Models for Governmental Use in Dutch Proceedings of the 2020 conference on empirical methods in natural language processing: system demonstrations , pages=

Reference 49

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no resolver link, observed 2026-08-11T04:15:50.298157Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T04:15:50.298157Z digest=sha256:c13689fdb802441fb8cf1fe2f8d7b5f6676263b88b780ec21623a2b7b3b29bf0

Observation bf9c85f2-7337-4ec9-9e65-c4dde99c28b2 · outbound

This paper cites an unresolved cited work.

From Values to Benchmarks: Evaluating Large Language Models for Governmental Use in Dutch Unresolved cited work

Reference 50

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unresolved
no resolver link, observed 2026-08-11T04:15:50.302546Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T04:15:50.302546Z digest=sha256:8c044dc5061ea66acc696f447abaae1bbff3e6d1c456c6e5c57a4f426a76c702

Observation 815fdac4-3bfb-48d9-a829-b0c7a46f8e0d · outbound

This paper cites an unresolved cited work.

From Values to Benchmarks: Evaluating Large Language Models for Governmental Use in Dutch Unresolved cited work

Reference 51

Resolution
unresolved
raw_fallback, observed 2026-08-11T04:16:02.636936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T04:15:50.307457Z digest=sha256:1b32cceeefb747201e33ee4fc60fbb795a33a67ca6b362a5825d24996e438254

Observation b5873800-dee1-4b60-bb4a-915bc9567c28 · outbound

This paper cites 2023 , eprint=.

From Values to Benchmarks: Evaluating Large Language Models for Governmental Use in Dutch 2023 , eprint=

Reference 52

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unresolved
no resolver link, observed 2026-08-11T04:15:50.311956Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T04:15:50.311956Z digest=sha256:d3b1265f3a525c7fc307529a87f745ec6fd9b53396240ea98339acf49200383f

Observation 92045abb-e9dd-4d74-9db1-254a9483bd4e · outbound

This paper cites 2025 , howpublished=.

From Values to Benchmarks: Evaluating Large Language Models for Governmental Use in Dutch 2025 , howpublished=

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T04:16:02.609581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T04:15:50.316888Z digest=sha256:4c0c1f9bdcc7e47e114933a551bf87175985fc39d6770abe9a8c421334caa765

Observation 25d8b062-34f8-4da2-a0a5-7f10b3c13850 · outbound

This paper cites 2025 , howpublished=.

From Values to Benchmarks: Evaluating Large Language Models for Governmental Use in Dutch 2025 , howpublished=

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T04:16:02.592933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T04:15:50.321759Z digest=sha256:c60edeb00f7138adece3c750468958f36ff0d9914724e8aaa33f6ed8ecd5b813

Observation 2aeca693-93f7-4c13-9711-e7c15030698e · outbound

This paper cites 2025 , howpublished=.

From Values to Benchmarks: Evaluating Large Language Models for Governmental Use in Dutch 2025 , howpublished=

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T04:16:02.575357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T04:15:50.326864Z digest=sha256:af07e15c1af6e9faaf47fdceb28800ddbb1c4c40ddbb611dc1fddc4af6d2bdd6

Observation a1429dfc-cd2d-4df3-95fd-f97f493de6cf · outbound

This paper cites Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs.

From Values to Benchmarks: Evaluating Large Language Models for Governmental Use in Dutch Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-11T04:15:50.332100Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T04:15:50.332100Z digest=sha256:c4b873269d8e08d98a36eb91dbe340787b68359c8c12374c33d60d66cb7a98f5

Observation b0dbf0b9-50d1-47eb-bea2-b0314a85e249 · outbound

This paper cites 2024 , howpublished=.

From Values to Benchmarks: Evaluating Large Language Models for Governmental Use in Dutch 2024 , howpublished=

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T04:16:02.557873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T04:15:50.338259Z digest=sha256:476a936de847b5fe9f01c7b67ddb1d56cea90dc3e682ec0d5b4cf19f539ab0c0

Observation cb027bac-a55e-4b95-8d86-4ca64af88f0f · outbound

This paper cites The Llama 3 Herd of Models.

From Values to Benchmarks: Evaluating Large Language Models for Governmental Use in Dutch The Llama 3 Herd of Models

Reference 58

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unresolved
no resolver link, observed 2026-08-11T04:15:50.342633Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T04:15:50.342633Z digest=sha256:fc2d53bac01970dedb62973e3140efcd26029d31d28615ff125b19d1db597ba8

Observation bfe618a2-7533-46e0-b512-b01a24e50f98 · outbound

This paper cites an unresolved cited work.

From Values to Benchmarks: Evaluating Large Language Models for Governmental Use in Dutch Unresolved cited work

Reference 59

Resolution
parse uncertain
no resolver link, observed 2026-08-11T04:15:50.348432Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T04:15:50.348432Z digest=sha256:be9dc189321d7a9ff8649f11338160d9ec78a271f2f6b8c2c2b7f70acc7bbf30

Observation 86918dea-6749-4188-a74f-309f580ed026 · outbound

This paper cites 2024 , howpublished=.

From Values to Benchmarks: Evaluating Large Language Models for Governmental Use in Dutch 2024 , howpublished=

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T04:16:02.527003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T04:15:50.353587Z digest=sha256:1be5b9348a58a919e4fa8f0af341f0df7923339b2e8b2aba86176ef44936abc5

Observation 2d3a7d1a-332d-47f0-9fcd-836a4ea1f229 · outbound

This paper cites 2 OLMo 2 Furious.

From Values to Benchmarks: Evaluating Large Language Models for Governmental Use in Dutch 2 OLMo 2 Furious

Reference 61

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unresolved
no resolver link, observed 2026-08-11T04:15:50.358479Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T04:15:50.358479Z digest=sha256:29e59bdbb70fd88b99fa6e1fb1668a3f3b688312e39698df59bdcebd0aaa07ae

Observation 02edb9c6-4ff4-4f7a-a5b8-de7c709bc20d · outbound

This paper cites EuroLLM-9B: Technical Report.

From Values to Benchmarks: Evaluating Large Language Models for Governmental Use in Dutch EuroLLM-9B: Technical Report

Reference 62

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unresolved
no resolver link, observed 2026-08-11T04:15:50.364012Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T04:15:50.364012Z digest=sha256:02566960551c15e2d62c36a79af22d82683676d65c828e7ce167b3f2374f5f28

Observation dac371bc-fc64-4bfd-a08d-6084ed57bbc0 · outbound

This paper cites arXiv preprint arXiv:2602.05879 , year=.

From Values to Benchmarks: Evaluating Large Language Models for Governmental Use in Dutch arXiv preprint arXiv:2602.05879 , year=

Reference 63

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unresolved
no resolver link, observed 2026-08-11T04:15:50.369439Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T04:15:50.369439Z digest=sha256:ad09facb125c9654d4c996b8f9ea71ff847d967d8ee97e12db279bb3e5ec8ac9

Observation 5e22f2d6-7489-4b49-a509-e1d7469e915e · outbound

This paper cites an unresolved cited work.

From Values to Benchmarks: Evaluating Large Language Models for Governmental Use in Dutch Unresolved cited work

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-11T04:15:50.373992Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T04:15:50.373992Z digest=sha256:75be598465b0ef34cca3b86615fcb1d5d0904b6a023a9a80125378430ffc260e

Observation 8236270b-b58e-477d-877d-5b42023292a8 · outbound

This paper cites 2025 , url=.

From Values to Benchmarks: Evaluating Large Language Models for Governmental Use in Dutch 2025 , url=

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T04:16:02.496409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T04:15:50.379740Z digest=sha256:402d5cf27142472c2aff17563e6bf6d80f2ab2c5cf7127322268d5e19c616e8d

Observation 2acd2b7d-ab6c-4841-b46f-8803bca34fb3 · outbound

This paper cites Command A: An Enterprise-Ready Large Language Model.

From Values to Benchmarks: Evaluating Large Language Models for Governmental Use in Dutch Command A: An Enterprise-Ready Large Language Model

Reference 66

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unresolved
no resolver link, observed 2026-08-11T04:15:50.385072Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T04:15:50.385072Z digest=sha256:63b94368f9f090f7e01aaa79d3b56064799da897d7a2d4971b9a9a17df3af224

Observation ecc94888-2081-43de-9c54-c6e32addc108 · outbound

This paper cites an unresolved cited work.

From Values to Benchmarks: Evaluating Large Language Models for Governmental Use in Dutch Unresolved cited work

Reference 67

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unresolved
no resolver link, observed 2026-08-11T04:15:50.390479Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T04:15:50.390479Z digest=sha256:5429fbfdaf75b12aa845c188179192b41bcfd5a1e97faf109fadb2b7ebb7856a

Observation c4d93b42-8172-4092-b9bb-06e0a4700c80 · outbound

This paper cites gpt-oss-120b & gpt-oss-20b Model Card.

From Values to Benchmarks: Evaluating Large Language Models for Governmental Use in Dutch gpt-oss-120b & gpt-oss-20b Model Card

Reference 68

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unresolved
no resolver link, observed 2026-08-11T04:15:50.396377Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T04:15:50.396377Z digest=sha256:4a460fc6b41565296b7a788f213d317344f729067dc070a2b0e5a961af24feba

Observation 5ae82857-9e37-4daf-9375-6778ff80e456 · outbound

This paper cites 2025 , howpublished=.

From Values to Benchmarks: Evaluating Large Language Models for Governmental Use in Dutch 2025 , howpublished=

Reference 69

Resolution
unresolved
no resolver link, observed 2026-08-11T04:15:50.401799Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T04:15:50.401799Z digest=sha256:ae55e535365a12569af61b97bcac4d49020abce63ce8fc3051f419828a762979

Observation 92d91374-de2a-4a3d-ae16-6c95610cb7e1 · outbound

This paper cites 2025 , howpublished=.

From Values to Benchmarks: Evaluating Large Language Models for Governmental Use in Dutch 2025 , howpublished=

Reference 70

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unresolved
no resolver link, observed 2026-08-11T04:15:50.406896Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T04:15:50.406896Z digest=sha256:ffe22894197dc0da491df7f06d44da9a27777f7492208f0217e90709778cd484

Observation 98241807-20de-4cd2-a17b-2b23e877d382 · outbound

This paper cites Aya Expanse: Combining Research Breakthroughs for a New Multilingual Frontier.

From Values to Benchmarks: Evaluating Large Language Models for Governmental Use in Dutch Aya Expanse: Combining Research Breakthroughs for a New Multilingual Frontier

Reference 71

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unresolved
no resolver link, observed 2026-08-11T04:15:50.413131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T04:15:50.413131Z digest=sha256:babfa0b8cb6431d92856cf0937810c50dcb6bb2c5dc3844d0e980474d4bdee9b

Observation a5633684-2cb3-4ad7-9de8-c95be94372ae · outbound

This paper cites an unresolved cited work.

From Values to Benchmarks: Evaluating Large Language Models for Governmental Use in Dutch Unresolved cited work

Reference 72

Resolution
unresolved
no resolver link, observed 2026-08-11T04:15:50.419053Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T04:15:50.419053Z digest=sha256:2d792354a75fc82a5eb69403918f58c2fbebfdee5467b4a2d24eeaf0b272a39d

Observation 5c0c811d-1fbb-4654-a570-53fb0d7a5eb7 · outbound

This paper cites an unresolved cited work.

From Values to Benchmarks: Evaluating Large Language Models for Governmental Use in Dutch Unresolved cited work

Reference 73

Resolution
parse uncertain
raw_fallback, observed 2026-08-11T04:16:02.430512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T04:15:50.426588Z digest=sha256:5ca52fd2ec018d73007ef715e1a95aba48ccb90de4a93301de2858e6dbd07a45

Observation 2d4087b1-7719-4aea-baff-0ccca8af4c13 · outbound

This paper cites Fietje: An open, efficient LLM for Dutch.

From Values to Benchmarks: Evaluating Large Language Models for Governmental Use in Dutch Fietje: An open, efficient LLM for Dutch

Reference 74

Resolution
metadata mismatch
local_arxiv, observed 2026-08-11T04:15:56.822815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T04:15:50.431736Z digest=sha256:0464a3394cb1acb813d2d9e543ddd5ef83875e5eb3f96bf627a392fe4b9103fe

Observation c40d13b9-5766-4a84-a933-6f54a0eb9816 · outbound

This paper cites arXiv preprint arXiv:2509.14233 , year=.

From Values to Benchmarks: Evaluating Large Language Models for Governmental Use in Dutch arXiv preprint arXiv:2509.14233 , year=

Reference 75

Resolution
unresolved
no resolver link, observed 2026-08-11T04:15:50.439160Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T04:15:50.439160Z digest=sha256:431647742162f36a2b48fc89fb5a8145bf36e0be8e5fc152860ad73cf66fac08

Observation 4571ed11-2ed4-45dd-b8ca-2f5beb5ba3ff · outbound

This paper cites an unresolved cited work.

From Values to Benchmarks: Evaluating Large Language Models for Governmental Use in Dutch Unresolved cited work

Reference 76

Resolution
unresolved
no resolver link, observed 2026-08-11T04:15:50.447180Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T04:15:50.447180Z digest=sha256:3ab90f9fc4c8a804ab7a692784e0edb715071af2786842e3778cc306af1fa382

Observation a7d1ec94-7eec-487b-a947-cbd86302aab4 · outbound

This paper cites , author=.

From Values to Benchmarks: Evaluating Large Language Models for Governmental Use in Dutch , author=

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T04:16:02.399928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T04:15:50.453118Z digest=sha256:308beae7036f6e709ccae1df838e901e0c5c9fbdb7af00d89e429c5eec61dce3

Pith citing papers

No inbound Pith citation observations are available.