Paper Citation Record · LEDGER

Transferable Modeling Strategies for Low-Resource LLM Tasks: A Prompt and Alignment-Based Approach

As of 10 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 1 inbound Pith citation observation for arXiv:2507.00601.

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

pith.paper-citation-record.v1
2507.00601 v2

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:17:25.713019Z

measured 26 of 26 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T15:08:05.021116Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T15:08:05.203592Z

Reference resolution

25 of 25 outbound references displayed

verified exact4
verified fuzzy15
unresolved6
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b0e87cfb-778f-4738-9cc7-07aa179b4dab · outbound

This paper cites Fine-tuning large language models for improved health communication in low-resource languages.

Transferable Modeling Strategies for Low-Resource LLM Tasks: A Prompt and Alignment-Based Approach Fine-tuning large language models for improved health communication in low-resource languages

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:17:31.641828Z

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 38c1152f-4200-45d4-a7bd-cedaecc839b8 · outbound

This paper cites Fine-tuning large neural language models for biomedical natural language processing.

Transferable Modeling Strategies for Low-Resource LLM Tasks: A Prompt and Alignment-Based Approach Fine-tuning large neural language models for biomedical natural language processing

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:17:31.423489Z

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 9f35b6f1-07bb-4830-b423-9a0469b37a05 · outbound

This paper cites Towards low-resource languages machine translation: A language-specific fine-tuning with LoRA for specialized large language models.

Transferable Modeling Strategies for Low-Resource LLM Tasks: A Prompt and Alignment-Based Approach Towards low-resource languages machine translation: A language-specific fine-tuning with LoRA for specialized large language models

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:17:31.204901Z

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 698b2ce2-65b0-4420-b97e-339651761649 · outbound

This paper cites an unresolved cited work.

Transferable Modeling Strategies for Low-Resource LLM Tasks: A Prompt and Alignment-Based Approach Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-06T21:17:30.995282Z

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 7cc1bc66-2c9d-4e40-8f21-cd0e2fe260cf · outbound

This paper cites an unresolved cited work.

Transferable Modeling Strategies for Low-Resource LLM Tasks: A Prompt and Alignment-Based Approach Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-06T21:17:30.814822Z

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 1447a2fe-533e-4e27-92c3-7a334d2318f3 · outbound

This paper cites Optimizing translation for low-resource languages: Efficient fine-tuning with custom prompt engineering in large language models.

Transferable Modeling Strategies for Low-Resource LLM Tasks: A Prompt and Alignment-Based Approach Optimizing translation for low-resource languages: Efficient fine-tuning with custom prompt engineering in large language models

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:17:30.628386Z

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 e106b73b-ea47-42f7-92fd-0ca0b5df5a87 · outbound

This paper cites Comparative Analysis of Different Efficient Fine Tuning Methods of Large Language Models (LLMs) in Low-Resource Setting.

Transferable Modeling Strategies for Low-Resource LLM Tasks: A Prompt and Alignment-Based Approach Comparative Analysis of Different Efficient Fine Tuning Methods of Large Language Models (LLMs) in Low-Resource Setting

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T21:17:23.273943Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f79ac9c8-2600-48f2-ac88-7a4a265a2d2d · outbound

This paper cites adaptmllm: Fine-tuning multilingual language models on low-resource languages with integrated llm playgrounds.

Transferable Modeling Strategies for Low-Resource LLM Tasks: A Prompt and Alignment-Based Approach adaptmllm: Fine-tuning multilingual language models on low-resource languages with integrated llm playgrounds

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:17:30.329530Z

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 3651a16e-671e-41c6-b231-7794fbf44838 · outbound

This paper cites Generalizable and Stable Finetuning of Pretrained Language Models on Low-Resource Texts.

Transferable Modeling Strategies for Low-Resource LLM Tasks: A Prompt and Alignment-Based Approach Generalizable and Stable Finetuning of Pretrained Language Models on Low-Resource Texts

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-08-06T21:17:27.012461Z

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 a781681b-9350-44cc-8f75-b5b99235ed04 · outbound

This paper cites Structured Memory Mechanisms for Stable Context Representation in Large Language Models.

Transferable Modeling Strategies for Low-Resource LLM Tasks: A Prompt and Alignment-Based Approach Structured Memory Mechanisms for Stable Context Representation in Large Language Models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T21:17:23.763881Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b0c29aff-011a-4911-92f1-fc9497bc81bd · outbound

This paper cites Distilling Semantic Knowledge via Multi-Level Alignment in TinyBERT-Based Language Models,.

Transferable Modeling Strategies for Low-Resource LLM Tasks: A Prompt and Alignment-Based Approach Distilling Semantic Knowledge via Multi-Level Alignment in TinyBERT-Based Language Models,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:17:30.030867Z

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 1f113ed2-b976-4660-ad2f-942e0c19d4aa · outbound

This paper cites Unified Instruction Encoding and Gradient Coordination for Multi-Task Language Models,.

Transferable Modeling Strategies for Low-Resource LLM Tasks: A Prompt and Alignment-Based Approach Unified Instruction Encoding and Gradient Coordination for Multi-Task Language Models,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:17:29.734336Z

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 9631bb77-5098-4159-aef6-798631597e85 · outbound

This paper cites Perception-Guided Structural Framework for Large Language Model Design,.

Transferable Modeling Strategies for Low-Resource LLM Tasks: A Prompt and Alignment-Based Approach Perception-Guided Structural Framework for Large Language Model Design,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:17:29.538133Z

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 1945fd1e-3732-40a8-8cb2-674213e788a8 · outbound

This paper cites A Deep Learning-Based Predictive Framework for Backend Latency Using AI-Augmented Structured Modeling,.

Transferable Modeling Strategies for Low-Resource LLM Tasks: A Prompt and Alignment-Based Approach A Deep Learning-Based Predictive Framework for Backend Latency Using AI-Augmented Structured Modeling,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:17:29.270528Z

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 a244c276-e8f1-4dcc-9971-db88c2edf1df · outbound

This paper cites Deep Graph Modeling for Performance Risk Detection in Structured Data Queries,.

Transferable Modeling Strategies for Low-Resource LLM Tasks: A Prompt and Alignment-Based Approach Deep Graph Modeling for Performance Risk Detection in Structured Data Queries,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:17:28.934752Z

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 a4b1faf2-a490-47d3-a20f-59adbcbd27c4 · outbound

This paper cites Context-Aligned and Evidence-Based Detection of Hallucinations in Large Language Model Outputs,.

Transferable Modeling Strategies for Low-Resource LLM Tasks: A Prompt and Alignment-Based Approach Context-Aligned and Evidence-Based Detection of Hallucinations in Large Language Model Outputs,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:17:28.614752Z

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 88034551-d588-4f18-a30a-a91d35b9ee2a · outbound

This paper cites A Deep Q-Network Approach to Intelligent Cache Management in Dynamic Backend Environments,.

Transferable Modeling Strategies for Low-Resource LLM Tasks: A Prompt and Alignment-Based Approach A Deep Q-Network Approach to Intelligent Cache Management in Dynamic Backend Environments,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:17:28.321856Z

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 71067943-0ada-48ed-a2a1-44485f76354e · outbound

This paper cites Graph Neural Network-Based Collaborative Perception for Adaptive Scheduling in Distributed Systems.

Transferable Modeling Strategies for Low-Resource LLM Tasks: A Prompt and Alignment-Based Approach Graph Neural Network-Based Collaborative Perception for Adaptive Scheduling in Distributed Systems

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T21:17:24.914874Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 76defd86-25b5-486f-aa35-8eae466ba834 · outbound

This paper cites Self-Attention-Based Modeling of Multi-Source Metrics for Performance Trend Prediction in Cloud Systems,.

Transferable Modeling Strategies for Low-Resource LLM Tasks: A Prompt and Alignment-Based Approach Self-Attention-Based Modeling of Multi-Source Metrics for Performance Trend Prediction in Cloud Systems,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:17:28.046918Z

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 d5ed12f6-0215-48c5-900c-235dc9263a76 · outbound

This paper cites A Meta-Learning Framework for Cross-Service Elastic Scaling in Cloud Environments,.

Transferable Modeling Strategies for Low-Resource LLM Tasks: A Prompt and Alignment-Based Approach A Meta-Learning Framework for Cross-Service Elastic Scaling in Cloud Environments,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:17:27.639799Z

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 01a38c7a-89f4-4f56-b388-10bb8d8c7f20 · outbound

This paper cites Anomaly Detection in Microservice Environments via Conditional Multiscale GANs and Adaptive Temporal Autoencoders,.

Transferable Modeling Strategies for Low-Resource LLM Tasks: A Prompt and Alignment-Based Approach Anomaly Detection in Microservice Environments via Conditional Multiscale GANs and Adaptive Temporal Autoencoders,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T21:17:25.334047Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ad017e39-49ea-4a24-baa6-204af76f126a · outbound

This paper cites BERT, mBERT, or BiBERT? A Study on Contextualized Embeddings for Neural Machine Translation.

Transferable Modeling Strategies for Low-Resource LLM Tasks: A Prompt and Alignment-Based Approach BERT, mBERT, or BiBERT? A Study on Contextualized Embeddings for Neural Machine Translation

Reference 22

Resolution: verified exact; local_arxiv, observed 2026-08-06T21:17:26.584797Z

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 065f1fc3-90e3-4473-a586-e54f975e8533 · outbound

This paper cites Sentiment analysis using XLM-R transformer and zero-shot transfer learning on resource-poor Indian language.

Transferable Modeling Strategies for Low-Resource LLM Tasks: A Prompt and Alignment-Based Approach Sentiment analysis using XLM-R transformer and zero-shot transfer learning on resource-poor Indian language

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:17:27.364990Z

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 cb7fd4be-46b1-48eb-8607-b5c7f917617d · outbound

This paper cites InfoXLM: An Information-Theoretic Framework for Cross-Lingual Language Model Pre-Training.

Transferable Modeling Strategies for Low-Resource LLM Tasks: A Prompt and Alignment-Based Approach InfoXLM: An Information-Theoretic Framework for Cross-Lingual Language Model Pre-Training

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-08-06T21:17:26.157034Z

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 0449e703-7b86-4366-849e-411b21bf5c42 · outbound

This paper cites VECO: Variable and Flexible Cross-lingual Pre-training for Language Understanding and Generation.

Transferable Modeling Strategies for Low-Resource LLM Tasks: A Prompt and Alignment-Based Approach VECO: Variable and Flexible Cross-lingual Pre-training for Language Understanding and Generation

Reference 25

Resolution: verified exact; local_arxiv, observed 2026-08-06T21:17:25.938168Z

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.

Pith citing papers

Observation dc15aae4-b1fd-43b1-9740-c33b5835fd45 · inbound

Collaborative Evolution of Intelligent Agents in Large-Scale Microservice Systems cites this paper.

Collaborative Evolution of Intelligent Agents in Large-Scale Microservice Systems Transferable Modeling Strategies for Low-Resource LLM Tasks: A Prompt and Alignment-Based Approach

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-08-05T15:08:05.208151Z

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.