Pith. sign in

Paper Citation Record · LEDGER

Cross-Lingual Pitfalls: Automatic Probing Cross-Lingual Weakness of Multilingual Large Language Models

As of 8 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 0 inbound Pith citation observations for arXiv:2505.18673.

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

pith.paper-citation-record.v1
2505.18673 v1

Coverage vector

measured 13 of 13 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:31:34.780567Z

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

13 of 13 outbound references displayed

  • verified exact0
  • verified fuzzy2
  • unresolved10
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ad82eae1-6ae7-4acd-ba17-4644ee108914 · outbound

This paper cites text": "<Texte traduit en français>.

Cross-Lingual Pitfalls: Automatic Probing Cross-Lingual Weakness of Multilingual Large Language Models text": "<Texte traduit en français>

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:31:35.638041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:31:34.352814Z digest=sha256:5a99deec77f8791f0400c675f0d4bab09c2e105e161c525b53afa63042f731aa

Observation 3298f2ce-df4b-4f71-98f0-0f0773744ad7 · outbound

This paper cites an unresolved cited work.

Cross-Lingual Pitfalls: Automatic Probing Cross-Lingual Weakness of Multilingual Large Language Models Unresolved cited work

Reference 2

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:31:35.434878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:31:34.500719Z digest=sha256:713f928cdf6f137d0aaa05e7f3b7ef957e0df1c8d84246b2219152c2eec4acd2

Observation 95d34d0e-cf07-4823-b7cd-9f96b19a5d2c · outbound

This paper cites OpenAI o1 System Card.

Cross-Lingual Pitfalls: Automatic Probing Cross-Lingual Weakness of Multilingual Large Language Models OpenAI o1 System Card

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-07T14:31:34.081546Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:31:34.081546Z digest=sha256:4b7bd3b86d7f735e7a4e6039319618ff1dd67b7ea67c90577f52965b879f0382

Observation 5580f826-0064-4fd9-8fd5-62de4ee13019 · outbound

This paper cites an unresolved cited work.

Cross-Lingual Pitfalls: Automatic Probing Cross-Lingual Weakness of Multilingual Large Language Models Unresolved cited work

Reference 4

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:31:35.170020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:31:34.619405Z digest=sha256:107572101e597e796c23d779f600d2ce3a884fcca1a727a8b1ea6b531d855d56

Observation dc1ff8e2-ff96-4fb8-a410-2b1eb338ccad · outbound

This paper cites an unresolved cited work.

Cross-Lingual Pitfalls: Automatic Probing Cross-Lingual Weakness of Multilingual Large Language Models Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:31:35.058757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:31:34.683789Z digest=sha256:17c72164c01a1ec89b3e02cea3d3c1ab482a76cb9f10a99cf0f20283d7e41d36

Observation 4dcd47c2-bb34-4bae-8f26-826f240bb47d · outbound

This paper cites Qwen2 Technical Report.

Cross-Lingual Pitfalls: Automatic Probing Cross-Lingual Weakness of Multilingual Large Language Models Qwen2 Technical Report

Reference 6

Resolution
malformed identifier
no resolver link, observed 2026-08-07T14:31:34.310814Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:31:34.310814Z digest=sha256:1de993231420d78e6f594964c20f49c2742a3edf53f6a3a21c0bdb3dd740a087

Observation 37cc897b-b63b-496b-bd92-3b95a5284bac · outbound

This paper cites an unresolved cited work.

Cross-Lingual Pitfalls: Automatic Probing Cross-Lingual Weakness of Multilingual Large Language Models Unresolved cited work

Reference 8

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:31:35.553451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:31:34.424988Z digest=sha256:16a3806262d8cf912bdb9edbf9b93e8e399a1d7b7218f04a1bcc592abd8d43ee

Observation 24cdc4c9-a202-4860-a4ee-c426acf7d7ed · outbound

This paper cites an unresolved cited work.

Cross-Lingual Pitfalls: Automatic Probing Cross-Lingual Weakness of Multilingual Large Language Models Unresolved cited work

Reference 10

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:31:35.313965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:31:34.559280Z digest=sha256:1da38fff35bdd226822f7564923d60d19d9a2866dd5be2dd852cc315e09e8aae

Observation f8cff63c-48f1-4f1a-83e4-33e08fb58449 · outbound

This paper cites [Output Format] New question: <Your modified question WITHOUT ANY CHOICES>.

Cross-Lingual Pitfalls: Automatic Probing Cross-Lingual Weakness of Multilingual Large Language Models [Output Format] New question: <Your modified question WITHOUT ANY CHOICES>

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:31:34.938977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:31:34.780567Z digest=sha256:ebd4cf1f830a289d16b1a16f4996b62a59a00d1d568adc6bed0a45adddaecaf4

Observation 0e1d1c89-576e-4c1e-a0e1-404ec4e22dbb · outbound

This paper cites Generalization in NLI: Ways (Not) To Go Beyond Simple Heuristics.

Cross-Lingual Pitfalls: Automatic Probing Cross-Lingual Weakness of Multilingual Large Language Models Generalization in NLI: Ways (Not) To Go Beyond Simple Heuristics

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-07T14:31:33.944723Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:31:33.944723Z digest=sha256:28882938d690bf5013810c4073f1111922838c4dcbd3ada3f3cab3e9228d506d

Observation 18cf9e13-2742-42c9-9a05-9ab24f2ecaab · outbound

This paper cites Injecting Domain-Specific Knowledge into Large Language Models: A Comprehensive Survey.

Cross-Lingual Pitfalls: Automatic Probing Cross-Lingual Weakness of Multilingual Large Language Models Injecting Domain-Specific Knowledge into Large Language Models: A Comprehensive Survey

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-07T14:31:34.143825Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:31:34.143825Z digest=sha256:5f402dddeba3f4a0e394260e2098d01b2c3d658ebc45443abd6e6cf8d220e951

Observation a95355d2-4e85-406e-92de-59c3a02d2dda · outbound

This paper cites Continual Pre-Training for Cross-Lingual LLM Adaptation: Enhancing Japanese Language Capabilities.

Cross-Lingual Pitfalls: Automatic Probing Cross-Lingual Weakness of Multilingual Large Language Models Continual Pre-Training for Cross-Lingual LLM Adaptation: Enhancing Japanese Language Capabilities

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-07T14:31:34.017949Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:31:34.017949Z digest=sha256:fdf0c0fddffb46b44b83893f9928732609a4962a203124ef4416211d04eaa5b3

Observation 7486be58-79b5-478a-b107-c31d53858cc7 · outbound

This paper cites MedTrinity-25M: A Large-scale Multimodal Dataset with Multigranular Annotations for Medicine.

Cross-Lingual Pitfalls: Automatic Probing Cross-Lingual Weakness of Multilingual Large Language Models MedTrinity-25M: A Large-scale Multimodal Dataset with Multigranular Annotations for Medicine

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-07T14:31:34.221857Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:31:34.221857Z digest=sha256:64c1a11943a04f2b7026caeacdd15c1cdc188fd1e5a0720be43a7ce7469102e4

Pith citing papers

No inbound Pith citation observations are available.