Paper Citation Record · LEDGER

Large Language Models are Good Multi-lingual Learners : When LLMs Meet Cross-lingual Prompts

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2409.11056.

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

pith.paper-citation-record.v1
2409.11056 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:12:44.599858Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T08:01:00.826496Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 6df2bb40-acd2-4bb9-bc2f-8241b06e1ea1 · inbound

Exploring the Landscape of Text-to-SQL with Large Language Models: Progresses, Challenges and Opportunities cites this paper.

Exploring the Landscape of Text-to-SQL with Large Language Models: Progresses, Challenges and Opportunities Large Language Models are Good Multi-lingual Learners : When LLMs Meet Cross-lingual Prompts

Reference 128

Resolution: unresolved; no resolver link, observed 2026-08-07T13:12:44.599858Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 54b3844e-d63c-4c83-921a-c99c442cd4f6 · inbound

The Emergence of Abstract Thought in Large Language Models Beyond Any Language cites this paper.

The Emergence of Abstract Thought in Large Language Models Beyond Any Language Large Language Models are Good Multi-lingual Learners : When LLMs Meet Cross-lingual Prompts

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-07T04:43:44.973897Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ea5d085a-8d72-4fd5-8e7d-b694e1f95b1d · inbound

Free Energy-Driven Reinforcement Learning with Adaptive Advantage Shaping for Unsupervised Reasoning in LLMs cites this paper.

Free Energy-Driven Reinforcement Learning with Adaptive Advantage Shaping for Unsupervised Reasoning in LLMs Large Language Models are Good Multi-lingual Learners : When LLMs Meet Cross-lingual Prompts

Reference 108

Resolution: verified exact; arxiv_id, observed 2026-05-11T07:45:59.142070Z

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.

Observation 4479194e-b038-42e2-8c37-ab9bf66b4075 · inbound

Adapt to Thrive! Adaptive Power-Mean Policy Optimization for Improved LLM Reasoning cites this paper.

Adapt to Thrive! Adaptive Power-Mean Policy Optimization for Improved LLM Reasoning Large Language Models are Good Multi-lingual Learners : When LLMs Meet Cross-lingual Prompts

Reference 93

Resolution: verified exact; arxiv_id, observed 2026-05-11T08:01:00.830143Z

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.