Paper Citation Record · LEDGER

LLMs Are Few-Shot In-Context Low-Resource Language Learners

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 15 inbound Pith citation observations for arXiv:2403.16512.

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

pith.paper-citation-record.v1
2403.16512 v5

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 15 of 15 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:31:13.620616Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

3
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation a9a5ae10-201f-4090-a0d4-92497e26b71b · inbound

LIMBA: An Open-Source Framework for the Preservation and Valorization of Low-Resource Languages using Generative Models cites this paper.

LIMBA: An Open-Source Framework for the Preservation and Valorization of Low-Resource Languages using Generative Models LLMs Are Few-Shot In-Context Low-Resource Language Learners

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-12T16:27:34.263667Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6bb08bc5-79a6-4fbd-ac0b-eb7641fb20cf · inbound

QueEn: A Large Language Model for Quechua-English Translation cites this paper.

QueEn: A Large Language Model for Quechua-English Translation LLMs Are Few-Shot In-Context Low-Resource Language Learners

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-11T20:53:58.290061Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ffe51ae0-5cc1-48fa-9013-d2d27458d0a0 · inbound

PromptRefine: Enhancing Few-Shot Performance on Low-Resource Indic Languages with Example Selection from Related Example Banks cites this paper.

PromptRefine: Enhancing Few-Shot Performance on Low-Resource Indic Languages with Example Selection from Related Example Banks LLMs Are Few-Shot In-Context Low-Resource Language Learners

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-11T20:29:53.862541Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ec276eed-7508-44f0-99f8-0fb784937807 · 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 LLMs Are Few-Shot In-Context Low-Resource Language Learners

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-11T18:18:28.840021Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 548e7893-0d35-4990-8a8b-6119e7310ed8 · inbound

Integrating LLMs with ITS: Recent Advances, Potentials, Challenges, and Future Directions cites this paper.

Integrating LLMs with ITS: Recent Advances, Potentials, Challenges, and Future Directions LLMs Are Few-Shot In-Context Low-Resource Language Learners

Reference 229

Resolution: unresolved; no resolver link, observed 2026-08-10T21:37:05.218487Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 319dd62a-6206-476f-8cec-04237d6d90bb · inbound

SampleLLM: Optimizing Tabular Data Synthesis in Recommendations cites this paper.

SampleLLM: Optimizing Tabular Data Synthesis in Recommendations LLMs Are Few-Shot In-Context Low-Resource Language Learners

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-10T13:48:50.030364Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dbae0523-97f0-49df-ac9e-077dc6e8a5b6 · inbound

Leveraging LLM Agents for Automated Optimization Modeling for SASP Problems: A Graph-RAG based Approach cites this paper.

Leveraging LLM Agents for Automated Optimization Modeling for SASP Problems: A Graph-RAG based Approach LLMs Are Few-Shot In-Context Low-Resource Language Learners

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-09T23:58:36.384000Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 07bcca3c-1be0-4d49-8c92-bee0c6944207 · inbound

Zero-shot Meta-learning for Tabular Prediction Tasks with Adversarially Pre-trained Transformer cites this paper.

Zero-shot Meta-learning for Tabular Prediction Tasks with Adversarially Pre-trained Transformer LLMs Are Few-Shot In-Context Low-Resource Language Learners

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-08T22:21:07.801393Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e122746a-6ca4-4fab-99a2-82da6584ca92 · inbound

Semantic-Aware Contrastive Fine-Tuning: Boosting Multimodal Malware Classification with Discriminative Embeddings cites this paper.

Semantic-Aware Contrastive Fine-Tuning: Boosting Multimodal Malware Classification with Discriminative Embeddings LLMs Are Few-Shot In-Context Low-Resource Language Learners

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-16T10:31:13.620616Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1ae388ec-cbbc-4027-b3c6-4876df3d53cd · inbound

TALL -- A Trainable Architecture for Enhancing LLM Performance in Low-Resource Languages cites this paper.

TALL -- A Trainable Architecture for Enhancing LLM Performance in Low-Resource Languages LLMs Are Few-Shot In-Context Low-Resource Language Learners

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T10:32:45.320652Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e75e0fe1-e0f0-496a-a268-9e41ac7d7c5a · inbound

Mind the XAI Gap: A Human-Centered LLM Framework for Democratizing Explainable AI cites this paper.

Mind the XAI Gap: A Human-Centered LLM Framework for Democratizing Explainable AI LLMs Are Few-Shot In-Context Low-Resource Language Learners

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T01:02:18.248149Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a60f7d75-3105-4ead-b657-662b85c5fae1 · inbound

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

CURE-Med: Curriculum-Informed Reinforcement Learning for Multilingual Medical Reasoning LLMs Are Few-Shot In-Context Low-Resource Language Learners

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-16T13:20:57.525676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 8484a05f-d724-4337-a173-9378ae2da54f · inbound

Afrispeech Semantics: Evaluating Audio Semantic Reasoning in Spoken Language Models Across Domains and Accents cites this paper.

Afrispeech Semantics: Evaluating Audio Semantic Reasoning in Spoken Language Models Across Domains and Accents LLMs Are Few-Shot In-Context Low-Resource Language Learners

Reference 37

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T22:15:05.593082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b0898f9b-d7f8-4cd1-9760-022d9ee9aa8a · inbound

Meta-Learning Preferences for Multilingual LLM Alignment cites this paper.

Meta-Learning Preferences for Multilingual LLM Alignment LLMs Are Few-Shot In-Context Low-Resource Language Learners

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-02T05:36:12.506030Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4248bba8-6d58-424c-b977-4728aa99f753 · inbound

Test-Time Scaling via Error Localization cites this paper.

Test-Time Scaling via Error Localization LLMs Are Few-Shot In-Context Low-Resource Language Learners

Reference 157

Resolution: unresolved; no resolver link, observed 2026-08-01T07:28:34.322445Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.