Paper Citation Record · LEDGER

UrBLiMP: A Benchmark for Evaluating the Linguistic Competence of Large Language Models in Urdu

As of 9 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 0 inbound Pith citation observations for arXiv:2508.01006.

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

pith.paper-citation-record.v1
2508.01006 v1

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T06:00:10.327109Z

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

14 of 14 outbound references displayed

verified exact0
verified fuzzy6
unresolved7
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 548a52aa-2253-4475-81d1-0927df9c063e · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

UrBLiMP: A Benchmark for Evaluating the Linguistic Competence of Large Language Models in Urdu DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T06:00:10.281920Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 47537837-aa1d-4b6d-8a6b-7c73a663c655 · outbound

This paper cites MultiBLiMP 1.0: A Massively Multilingual Benchmark of Linguistic Minimal Pairs.

UrBLiMP: A Benchmark for Evaluating the Linguistic Competence of Large Language Models in Urdu MultiBLiMP 1.0: A Massively Multilingual Benchmark of Linguistic Minimal Pairs

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T06:00:10.296880Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f6ac2c71-d32d-4fac-8f5a-8aa11ec5954a · outbound

This paper cites Controlled Evaluation of Syntactic Knowledge in Multilingual Language Models.

UrBLiMP: A Benchmark for Evaluating the Linguistic Competence of Large Language Models in Urdu Controlled Evaluation of Syntactic Knowledge in Multilingual Language Models

Reference 7

Resolution: metadata mismatch; local_arxiv, observed 2026-08-06T06:00:10.374786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9b21b02a-1d0d-4cfb-b3bb-a103a75aaca7 · outbound

This paper cites In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, pages 175–184, Online and Punta Cana, Dominican Republic.

UrBLiMP: A Benchmark for Evaluating the Linguistic Competence of Large Language Models in Urdu In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, pages 175–184, Online and Punta Cana, Dominican Republic

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T06:00:17.008156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 325c05ce-bb73-4f46-91eb-d7f90fe50223 · outbound

This paper cites In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 4606–4634, Abu Dhabi, United Arab Emirates.

UrBLiMP: A Benchmark for Evaluating the Linguistic Competence of Large Language Models in Urdu In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 4606–4634, Abu Dhabi, United Arab Emirates

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T06:00:16.984655Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 658c8df3-eb7a-4f0c-90ec-0c39dc780deb · outbound

This paper cites https: //huggingface.co/large-traversaal/ Alif-1.0-8B-Instruct.

UrBLiMP: A Benchmark for Evaluating the Linguistic Competence of Large Language Models in Urdu https: //huggingface.co/large-traversaal/ Alif-1.0-8B-Instruct

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T06:00:16.973213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d6c2eb2c-9940-4d45-9194-ce4a9ebbffa2 · outbound

This paper cites In Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pages 483–498, Online.

UrBLiMP: A Benchmark for Evaluating the Linguistic Competence of Large Language Models in Urdu In Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pages 483–498, Online

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T06:00:16.962267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1a95b647-5a3a-400a-b0b8-921d650a2b73 · outbound

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

UrBLiMP: A Benchmark for Evaluating the Linguistic Competence of Large Language Models in Urdu BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-06T06:00:10.285644Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 833c7619-d4b4-4f6c-8b1c-ef0c6e9dde59 · outbound

This paper cites an unresolved cited work.

UrBLiMP: A Benchmark for Evaluating the Linguistic Competence of Large Language Models in Urdu Unresolved cited work

Reference 2020

Resolution: unresolved; raw_fallback, observed 2026-08-06T06:00:16.950764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 903cf07f-df61-470c-a178-bc27745dfb5a · outbound

This paper cites In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, pages 7038–7051, Online and Punta Cana, Dominican Republic.

UrBLiMP: A Benchmark for Evaluating the Linguistic Competence of Large Language Models in Urdu In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, pages 7038–7051, Online and Punta Cana, Dominican Republic

Reference 2021

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T06:00:17.020156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 62d44409-ffa4-4a70-acb5-b3d8dcc8b068 · outbound

This paper cites Crosslingual Generalization through Multitask Finetuning.

UrBLiMP: A Benchmark for Evaluating the Linguistic Competence of Large Language Models in Urdu Crosslingual Generalization through Multitask Finetuning

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-06T06:00:10.308640Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 12c83f7b-ce1b-4839-b665-57a31b8abe16 · outbound

This paper cites In Findings of the Association for Computational Linguistics: EACL 2023 , pages 1581–1594, Dubrovnik, Croatia.

UrBLiMP: A Benchmark for Evaluating the Linguistic Competence of Large Language Models in Urdu In Findings of the Association for Computational Linguistics: EACL 2023 , pages 1581–1594, Dubrovnik, Croatia

Reference 2023

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T06:00:16.995724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c3f58f95-83ac-4dde-b071-2c9f97a73365 · outbound

This paper cites The Llama 3 Herd of Models.

UrBLiMP: A Benchmark for Evaluating the Linguistic Competence of Large Language Models in Urdu The Llama 3 Herd of Models

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-06T06:00:10.289493Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b6b58527-6c82-42f4-836d-554e91e84c54 · outbound

This paper cites Preprint, arXiv:2506.13487.

UrBLiMP: A Benchmark for Evaluating the Linguistic Competence of Large Language Models in Urdu Preprint, arXiv:2506.13487

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-06T06:00:10.277918Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.