Paper Citation Record · LEDGER

Predicting Multilingual Classification and Translation Performance of LLMs with Cross-Lingual Alignment $\unicode{x2013}$ Is English Enough?

As of 11 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:2608.03446.

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

pith.paper-citation-record.v1
2608.03446 v1

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T19:06:20.505866Z

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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

39 of 39 outbound references displayed

verified exact3
verified fuzzy4
unresolved32
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

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Outbound references

Observation d3c705b7-570c-4526-92bb-e7e79783d23c · outbound

This paper cites MEXA : Multilingual Evaluation of E nglish-Centric LLM s via Cross-Lingual Alignment.

Predicting Multilingual Classification and Translation Performance of LLMs with Cross-Lingual Alignment $\unicode{x2013}$ Is English Enough? MEXA : Multilingual Evaluation of E nglish-Centric LLM s via Cross-Lingual Alignment

Reference 1

Resolution: verified exact; doi, observed 2026-08-05T19:06:21.589028Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 31bd48ca-3c2b-4aeb-bbca-739aa5b23697 · outbound

This paper cites Cross-lingual Similarity of Multilingual Representations Revisited.

Predicting Multilingual Classification and Translation Performance of LLMs with Cross-Lingual Alignment $\unicode{x2013}$ Is English Enough? Cross-lingual Similarity of Multilingual Representations Revisited

Reference 2

Resolution: verified exact; doi, observed 2026-08-05T19:06:21.258512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e3157fa8-6a3f-419e-9153-9f0ab0ce17cc · outbound

This paper cites Margin-based Parallel Corpus Mining with Multilingual Sentence Embeddings.

Predicting Multilingual Classification and Translation Performance of LLMs with Cross-Lingual Alignment $\unicode{x2013}$ Is English Enough? Margin-based Parallel Corpus Mining with Multilingual Sentence Embeddings

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-05T19:06:17.295884Z

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Unavailable: canonical work link unavailable.

Observation 0f9cd2d9-3fbb-47e3-8a69-0c51c910f667 · outbound

This paper cites Beyond Literal Token Overlap: Token Alignability for Multilinguality.

Predicting Multilingual Classification and Translation Performance of LLMs with Cross-Lingual Alignment $\unicode{x2013}$ Is English Enough? Beyond Literal Token Overlap: Token Alignability for Multilinguality

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-05T19:06:17.401533Z

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Observation f749c6ed-dd91-4a51-a82b-2fa1ed068d44 · outbound

This paper cites Tokenization Impacts Multilingual Language Modeling: Assessing Vocabulary Allocation and Overlap Across Languages.

Predicting Multilingual Classification and Translation Performance of LLMs with Cross-Lingual Alignment $\unicode{x2013}$ Is English Enough? Tokenization Impacts Multilingual Language Modeling: Assessing Vocabulary Allocation and Overlap Across Languages

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-05T19:06:17.500058Z

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Observation a8c807e2-f679-4389-8be6-2fd2297c0be3 · outbound

This paper cites 2026 , eprint=.

Predicting Multilingual Classification and Translation Performance of LLMs with Cross-Lingual Alignment $\unicode{x2013}$ Is English Enough? 2026 , eprint=

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T19:06:22.503531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9e1680eb-56ae-4d9f-8bfe-74f1ee085819 · outbound

This paper cites Do Llamas Work in E nglish? On the Latent Language of Multilingual Transformers.

Predicting Multilingual Classification and Translation Performance of LLMs with Cross-Lingual Alignment $\unicode{x2013}$ Is English Enough? Do Llamas Work in E nglish? On the Latent Language of Multilingual Transformers

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-05T19:06:17.648569Z

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Observation c8728737-33fd-4469-b86a-b6da7b8462e5 · outbound

This paper cites and Mao, Yanke and Gao, Haonan and Lee, En-Shiun Annie.

Predicting Multilingual Classification and Translation Performance of LLMs with Cross-Lingual Alignment $\unicode{x2013}$ Is English Enough? and Mao, Yanke and Gao, Haonan and Lee, En-Shiun Annie

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-05T19:06:17.737961Z

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Observation 773e0455-d0e2-4fb4-950a-46467f9f7ec2 · outbound

This paper cites The B elebele Benchmark: a Parallel Reading Comprehension Dataset in 122 Language Variants.

Predicting Multilingual Classification and Translation Performance of LLMs with Cross-Lingual Alignment $\unicode{x2013}$ Is English Enough? The B elebele Benchmark: a Parallel Reading Comprehension Dataset in 122 Language Variants

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T19:06:22.303472Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation eeb811ae-7f6f-4738-b5d1-aec320397f9e · outbound

This paper cites 2022 , eprint=.

Predicting Multilingual Classification and Translation Performance of LLMs with Cross-Lingual Alignment $\unicode{x2013}$ Is English Enough? 2022 , eprint=

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-05T19:06:17.950524Z

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Observation 40b12caf-a496-4c6d-80ea-046333f184ad · outbound

This paper cites The F lores-101 Evaluation Benchmark for Low-Resource and Multilingual Machine Translation.

Predicting Multilingual Classification and Translation Performance of LLMs with Cross-Lingual Alignment $\unicode{x2013}$ Is English Enough? The F lores-101 Evaluation Benchmark for Low-Resource and Multilingual Machine Translation

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-05T19:06:18.034749Z

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Observation 15eceddf-70a1-4173-a61c-7123f26f3ff9 · outbound

This paper cites Emerging Cross-lingual Structure in Pretrained Language Models.

Predicting Multilingual Classification and Translation Performance of LLMs with Cross-Lingual Alignment $\unicode{x2013}$ Is English Enough? Emerging Cross-lingual Structure in Pretrained Language Models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-05T19:06:18.121935Z

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Observation 18731164-85d0-4434-9f58-2b252c3cdcc7 · outbound

This paper cites How Contextual are Contextualized Word Representations? C omparing the Geometry of BERT , ELM o, and GPT -2 Embeddings.

Predicting Multilingual Classification and Translation Performance of LLMs with Cross-Lingual Alignment $\unicode{x2013}$ Is English Enough? How Contextual are Contextualized Word Representations? C omparing the Geometry of BERT , ELM o, and GPT -2 Embeddings

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-05T19:06:18.218999Z

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Observation 928289d9-d849-4d34-a486-aeab5d38e2d0 · outbound

This paper cites P rompt BERT : Improving BERT Sentence Embeddings with Prompts.

Predicting Multilingual Classification and Translation Performance of LLMs with Cross-Lingual Alignment $\unicode{x2013}$ Is English Enough? P rompt BERT : Improving BERT Sentence Embeddings with Prompts

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-05T19:06:18.319047Z

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Observation a4b84bce-6e87-46b2-b3a9-c941b88d5da5 · outbound

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

Predicting Multilingual Classification and Translation Performance of LLMs with Cross-Lingual Alignment $\unicode{x2013}$ Is English Enough? BERT : Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-05T19:06:18.396874Z

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Observation 2d910a1d-ab29-4b5e-8e4a-f0e59c359535 · outbound

This paper cites Attention is All you Need , url =.

Predicting Multilingual Classification and Translation Performance of LLMs with Cross-Lingual Alignment $\unicode{x2013}$ Is English Enough? Attention is All you Need , url =

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-05T19:06:18.503184Z

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Observation 3043d76c-4a3e-4599-a457-a4ead1993035 · outbound

This paper cites SGPT: GPT Sentence Embeddings for Semantic Search.

Predicting Multilingual Classification and Translation Performance of LLMs with Cross-Lingual Alignment $\unicode{x2013}$ Is English Enough? SGPT: GPT Sentence Embeddings for Semantic Search

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-05T19:06:18.567654Z

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Observation 0a40e2bb-6a42-4f63-9b97-3ee5407df672 · outbound

This paper cites Scaling Sentence Embeddings with Large Language Models.

Predicting Multilingual Classification and Translation Performance of LLMs with Cross-Lingual Alignment $\unicode{x2013}$ Is English Enough? Scaling Sentence Embeddings with Large Language Models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-05T19:06:18.647966Z

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Observation 68cf6402-6b81-4bd0-83ec-97786b4e2326 · outbound

This paper cites D ef S ent: Sentence Embeddings using Definition Sentences.

Predicting Multilingual Classification and Translation Performance of LLMs with Cross-Lingual Alignment $\unicode{x2013}$ Is English Enough? D ef S ent: Sentence Embeddings using Definition Sentences

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-05T19:06:18.737728Z

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Observation 90a59382-defc-479f-b6da-9e7e9c5b4b83 · outbound

This paper cites 2025 , eprint=.

Predicting Multilingual Classification and Translation Performance of LLMs with Cross-Lingual Alignment $\unicode{x2013}$ Is English Enough? 2025 , eprint=

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-05T19:06:18.850801Z

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Observation f040cd3f-0263-4fc5-b1a2-df2aba9d4442 · outbound

This paper cites 2026 , eprint=.

Predicting Multilingual Classification and Translation Performance of LLMs with Cross-Lingual Alignment $\unicode{x2013}$ Is English Enough? 2026 , eprint=

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-05T19:06:18.959542Z

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Observation df0fdaff-2604-4067-bfde-53fd19bdb385 · outbound

This paper cites 2025 , eprint=.

Predicting Multilingual Classification and Translation Performance of LLMs with Cross-Lingual Alignment $\unicode{x2013}$ Is English Enough? 2025 , eprint=

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-05T19:06:19.039878Z

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Observation 85ef57f0-4302-4b94-bcd6-65879ffe2aed · outbound

This paper cites an unresolved cited work.

Predicting Multilingual Classification and Translation Performance of LLMs with Cross-Lingual Alignment $\unicode{x2013}$ Is English Enough? Unresolved cited work

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-05T19:06:19.159012Z

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Observation 66d1c8c7-2914-418e-800e-844af9393a94 · outbound

This paper cites Communications of the ACM , volume=.

Predicting Multilingual Classification and Translation Performance of LLMs with Cross-Lingual Alignment $\unicode{x2013}$ Is English Enough? Communications of the ACM , volume=

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-05T19:06:19.224889Z

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Observation 56b79a9a-3446-4b55-a64e-7ddabf10d0b3 · outbound

This paper cites chr F : character n-gram F -score for automatic MT evaluation.

Predicting Multilingual Classification and Translation Performance of LLMs with Cross-Lingual Alignment $\unicode{x2013}$ Is English Enough? chr F : character n-gram F -score for automatic MT evaluation

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-05T19:06:19.341022Z

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Observation 79c91f74-c0ff-48be-8f7f-8618d948f2d5 · outbound

This paper cites Global MMLU : Understanding and Addressing Cultural and Linguistic Biases in Multilingual Evaluation.

Predicting Multilingual Classification and Translation Performance of LLMs with Cross-Lingual Alignment $\unicode{x2013}$ Is English Enough? Global MMLU : Understanding and Addressing Cultural and Linguistic Biases in Multilingual Evaluation

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-05T19:06:19.372666Z

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Observation 2d98620e-339c-4ee0-acff-ac5ff06502af · outbound

This paper cites 2024 , eprint=.

Predicting Multilingual Classification and Translation Performance of LLMs with Cross-Lingual Alignment $\unicode{x2013}$ Is English Enough? 2024 , eprint=

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-05T19:06:19.435179Z

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Observation 85e36859-4113-4208-8970-611300e8f182 · outbound

This paper cites 2023 , eprint=.

Predicting Multilingual Classification and Translation Performance of LLMs with Cross-Lingual Alignment $\unicode{x2013}$ Is English Enough? 2023 , eprint=

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-05T19:06:19.546609Z

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Observation 2446f8c6-9806-4478-bf0b-a283b9e8b06d · outbound

This paper cites Beto, Bentz, Becas: The Surprising Cross-Lingual Effectiveness of BERT.

Predicting Multilingual Classification and Translation Performance of LLMs with Cross-Lingual Alignment $\unicode{x2013}$ Is English Enough? Beto, Bentz, Becas: The Surprising Cross-Lingual Effectiveness of BERT

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-05T19:06:19.623975Z

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Observation 17cff5f1-9211-4a20-9a1f-293e7b22ba55 · outbound

This paper cites The Prague Bulletin of Mathematical Linguistics , volume=.

Predicting Multilingual Classification and Translation Performance of LLMs with Cross-Lingual Alignment $\unicode{x2013}$ Is English Enough? The Prague Bulletin of Mathematical Linguistics , volume=

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T19:06:22.002062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a0a63d57-368f-4943-ac0a-ae8dea8ce693 · outbound

This paper cites Evolution of amorphous structure under irradiation: zircon case study.

Predicting Multilingual Classification and Translation Performance of LLMs with Cross-Lingual Alignment $\unicode{x2013}$ Is English Enough? Evolution of amorphous structure under irradiation: zircon case study

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-05T19:06:19.823152Z

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Observation b5956787-86e0-4425-8093-3f652069a7f9 · outbound

This paper cites Understanding Cross-Lingual A lignment --- A Survey.

Predicting Multilingual Classification and Translation Performance of LLMs with Cross-Lingual Alignment $\unicode{x2013}$ Is English Enough? Understanding Cross-Lingual A lignment --- A Survey

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-05T19:06:19.909934Z

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Observation d1622b79-de1a-45b5-9732-41d68c856d77 · outbound

This paper cites Languages Transferred Within the Encoder: On Representation Transfer in Zero-Shot Multilingual Translation.

Predicting Multilingual Classification and Translation Performance of LLMs with Cross-Lingual Alignment $\unicode{x2013}$ Is English Enough? Languages Transferred Within the Encoder: On Representation Transfer in Zero-Shot Multilingual Translation

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T19:06:21.816267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 43598046-548d-4bcf-9e79-8a503f03c6b8 · outbound

This paper cites Investigating Multilingual NMT Representations at Scale.

Predicting Multilingual Classification and Translation Performance of LLMs with Cross-Lingual Alignment $\unicode{x2013}$ Is English Enough? Investigating Multilingual NMT Representations at Scale

Reference 34

Resolution: verified exact; doi, observed 2026-08-05T19:06:20.738647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d0e66eef-8e6a-466f-aadc-0a3aa504e30d · outbound

This paper cites Pivot-based Transfer Learning for Neural Machine Translation between Non- E nglish Languages.

Predicting Multilingual Classification and Translation Performance of LLMs with Cross-Lingual Alignment $\unicode{x2013}$ Is English Enough? Pivot-based Transfer Learning for Neural Machine Translation between Non- E nglish Languages

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-05T19:06:20.161287Z

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Observation 31b2b736-f7d2-4026-bbf3-6ed8cef789af · outbound

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

Predicting Multilingual Classification and Translation Performance of LLMs with Cross-Lingual Alignment $\unicode{x2013}$ Is English Enough? Proceedings of the ACM SIGOPS 29th Symposium on Operating Systems Principles , year=

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-05T19:06:20.254852Z

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Observation cbfc4d63-b7bd-49d0-9794-68404ab1d1ff · outbound

This paper cites an unresolved cited work.

Predicting Multilingual Classification and Translation Performance of LLMs with Cross-Lingual Alignment $\unicode{x2013}$ Is English Enough? Unresolved cited work

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-05T19:06:20.367597Z

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Observation 46191a7d-1975-46fd-8848-704985a32631 · outbound

This paper cites Chain-of-Thought Prompting Elicits Reasoning in Large Language Models , url =.

Predicting Multilingual Classification and Translation Performance of LLMs with Cross-Lingual Alignment $\unicode{x2013}$ Is English Enough? Chain-of-Thought Prompting Elicits Reasoning in Large Language Models , url =

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-05T19:06:20.501161Z

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Observation d648ff0c-8da6-4ba7-a6d4-8c20ce786ec8 · outbound

This paper cites an unresolved cited work.

Predicting Multilingual Classification and Translation Performance of LLMs with Cross-Lingual Alignment $\unicode{x2013}$ Is English Enough? Unresolved cited work

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-05T19:06:20.505866Z

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Pith citing papers

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