Paper Citation Record · LEDGER

Democratizing LLMs for Low-Resource Languages by Leveraging their English Dominant Abilities with Linguistically-Diverse Prompts

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2306.11372.

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

pith.paper-citation-record.v1
2306.11372 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:22:45.749699Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T13:20:57.505202Z

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 0b6b0910-9102-4413-98ff-f03b545c53ce · inbound

Multilingual LLMs Inherently Reward In-Language Time-Sensitive Semantic Alignment for Low-Resource Languages cites this paper.

Multilingual LLMs Inherently Reward In-Language Time-Sensitive Semantic Alignment for Low-Resource Languages Democratizing LLMs for Low-Resource Languages by Leveraging their English Dominant Abilities with Linguistically-Diverse Prompts

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-11T18:18:29.150391Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ab3add12-e3fb-4cdb-94ec-d1109c7ba562 · inbound

Can Large Language Models Predict the Outcome of Judicial Decisions? cites this paper.

Can Large Language Models Predict the Outcome of Judicial Decisions? Democratizing LLMs for Low-Resource Languages by Leveraging their English Dominant Abilities with Linguistically-Diverse Prompts

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-10T20:22:38.383107Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2e8e5680-e743-4564-9473-f44fdef260ae · inbound

QUPID: Quantified Understanding for Enhanced Performance, Insights, and Decisions in Korean Search Engines cites this paper.

QUPID: Quantified Understanding for Enhanced Performance, Insights, and Decisions in Korean Search Engines Democratizing LLMs for Low-Resource Languages by Leveraging their English Dominant Abilities with Linguistically-Diverse Prompts

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-15T22:22:45.749699Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 136be33f-d90c-4134-93dd-8723b8766fa3 · inbound

AI-Driven Generation of Old English: A Framework for Low-Resource Languages cites this paper.

AI-Driven Generation of Old English: A Framework for Low-Resource Languages Democratizing LLMs for Low-Resource Languages by Leveraging their English Dominant Abilities with Linguistically-Diverse Prompts

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-15T17:53:46.948534Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation af84e85b-04c8-4f57-996d-28d2503d3b4c · inbound

Breaking Language Barriers: Equitable Performance in Multilingual Language Models cites this paper.

Breaking Language Barriers: Equitable Performance in Multilingual Language Models Democratizing LLMs for Low-Resource Languages by Leveraging their English Dominant Abilities with Linguistically-Diverse Prompts

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-15T17:22:41.470534Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9fcb8431-f1df-4899-b9a1-b86e472fdb89 · inbound

CURE-Med: Curriculum-Informed Reinforcement Learning for Multilingual Medical Reasoning cites this paper.

CURE-Med: Curriculum-Informed Reinforcement Learning for Multilingual Medical Reasoning Democratizing LLMs for Low-Resource Languages by Leveraging their English Dominant Abilities with Linguistically-Diverse Prompts

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-16T13:20:57.507603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.