Paper Citation Record · LEDGER

Dynamic Adaptation of LoRA Fine-Tuning for Efficient and Task-Specific Optimization of Large Language Models

As of 23 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 2 inbound Pith citation observations for arXiv:2501.14859.

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

pith.paper-citation-record.v1
2501.14859 v1

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T14:55:04.149371Z

measured 25 of 25 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:52:08.677769Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-15T16:30:45.383099Z

Reference resolution

23 of 23 outbound references displayed

verified exact4
verified fuzzy4
unresolved15
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a2028c59-aac8-4ab1-8db0-9f47c0031d63 · outbound

This paper cites SwitchLoRA: Switched Low-Rank Adaptation Can Learn Full-Rank Information.

Dynamic Adaptation of LoRA Fine-Tuning for Efficient and Task-Specific Optimization of Large Language Models SwitchLoRA: Switched Low-Rank Adaptation Can Learn Full-Rank Information

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-10T14:55:04.070943Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c7cc2903-d032-4684-87f5-de415cd33353 · outbound

This paper cites LoRA-Mini : Adaptation Matrices Decomposition and Selective Training.

Dynamic Adaptation of LoRA Fine-Tuning for Efficient and Task-Specific Optimization of Large Language Models LoRA-Mini : Adaptation Matrices Decomposition and Selective Training

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-08-10T14:55:04.393581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 51938649-71ef-47f1-bf64-a63d882867e4 · outbound

This paper cites MTL-LoRA: Low-Rank Adaptation for Multi-Task Learning.

Dynamic Adaptation of LoRA Fine-Tuning for Efficient and Task-Specific Optimization of Large Language Models MTL-LoRA: Low-Rank Adaptation for Multi-Task Learning

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-10T14:55:04.079197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 312b014a-54ea-4456-a5fe-90308ea37d13 · outbound

This paper cites Self- Supervised Graph Neural Networks for Enhanced Feature Extraction in Heterogeneous Information Networks.

Dynamic Adaptation of LoRA Fine-Tuning for Efficient and Task-Specific Optimization of Large Language Models Self- Supervised Graph Neural Networks for Enhanced Feature Extraction in Heterogeneous Information Networks

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-10T14:55:04.083200Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 224d013a-4162-4128-8e31-55ef1cf10a1e · outbound

This paper cites Improving the RAG- based Personalized Discharge Care System by Introducing the Memory Mechanism.

Dynamic Adaptation of LoRA Fine-Tuning for Efficient and Task-Specific Optimization of Large Language Models Improving the RAG- based Personalized Discharge Care System by Introducing the Memory Mechanism

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-10T14:55:04.086647Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 28d3f131-1c51-4dd7-acae-61997b6397a0 · outbound

This paper cites Scaling-up medical vision-and- language representation learning with federated learning,.

Dynamic Adaptation of LoRA Fine-Tuning for Efficient and Task-Specific Optimization of Large Language Models Scaling-up medical vision-and- language representation learning with federated learning,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-10T14:55:04.090066Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dc0ce2b3-4d9b-422c-9e7c-477489531466 · outbound

This paper cites Time Series Feature Redundancy Paradox: An Empirical Study Based on Mortgage Default Prediction.

Dynamic Adaptation of LoRA Fine-Tuning for Efficient and Task-Specific Optimization of Large Language Models Time Series Feature Redundancy Paradox: An Empirical Study Based on Mortgage Default Prediction

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-10T14:55:04.093724Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b9b32ad4-140a-4d84-ac6c-659dc41cfd63 · outbound

This paper cites A Self-training Framework for Automated Medical Report Generation,.

Dynamic Adaptation of LoRA Fine-Tuning for Efficient and Task-Specific Optimization of Large Language Models A Self-training Framework for Automated Medical Report Generation,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-10T14:55:04.097166Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2a6ce578-0846-4955-b71b-d2eb69a82691 · outbound

This paper cites LoRA-LiteE: A Computationally Efficient Framework for Chatbot Preference-Tuning.

Dynamic Adaptation of LoRA Fine-Tuning for Efficient and Task-Specific Optimization of Large Language Models LoRA-LiteE: A Computationally Efficient Framework for Chatbot Preference-Tuning

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-10T14:55:04.100403Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 07d05ec1-7652-473f-a3e9-e9b14b7a75f1 · outbound

This paper cites Dynamic Scheduling Strategies for Resource Optimization in Computing Environments.

Dynamic Adaptation of LoRA Fine-Tuning for Efficient and Task-Specific Optimization of Large Language Models Dynamic Scheduling Strategies for Resource Optimization in Computing Environments

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-10T14:55:04.103879Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3eb6f0b1-8f35-4907-996c-1577e6eb258e · outbound

This paper cites Few-Shot Learning with Adaptive Weight Masking in Conditional GANs.

Dynamic Adaptation of LoRA Fine-Tuning for Efficient and Task-Specific Optimization of Large Language Models Few-Shot Learning with Adaptive Weight Masking in Conditional GANs

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-08-10T14:55:04.273019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 2590dbea-fc8b-42b7-9406-065bd20e7ecd · outbound

This paper cites A Matrix Logic Approach to Efficient Frequent Itemset Discovery in Large Data Sets.

Dynamic Adaptation of LoRA Fine-Tuning for Efficient and Task-Specific Optimization of Large Language Models A Matrix Logic Approach to Efficient Frequent Itemset Discovery in Large Data Sets

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-10T14:55:04.110839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 326b3520-6023-4309-932b-9734a3fef06f · outbound

This paper cites Collaborative Optimization in Financial Data Mining Through Deep Learning and ResNeXt.

Dynamic Adaptation of LoRA Fine-Tuning for Efficient and Task-Specific Optimization of Large Language Models Collaborative Optimization in Financial Data Mining Through Deep Learning and ResNeXt

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-10T14:55:04.114201Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e3187298-6aff-4e35-9d5e-b811470b253f · outbound

This paper cites Leveraging Generative Adversarial Networks for Addressing Data Imbalance in Financial Market Supervision.

Dynamic Adaptation of LoRA Fine-Tuning for Efficient and Task-Specific Optimization of Large Language Models Leveraging Generative Adversarial Networks for Addressing Data Imbalance in Financial Market Supervision

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-10T14:55:04.117548Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b4dca449-a5f8-4993-bf80-d1994f8fbee6 · outbound

This paper cites Stock Type Prediction Model Based on Hierarchical Graph Neural Network.

Dynamic Adaptation of LoRA Fine-Tuning for Efficient and Task-Specific Optimization of Large Language Models Stock Type Prediction Model Based on Hierarchical Graph Neural Network

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-08-10T14:55:04.225116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 47b1b72a-a36d-4d72-857e-0db65c30b672 · outbound

This paper cites Robust Graph Neural Networks for Stability Analysis in Dynamic Networks.

Dynamic Adaptation of LoRA Fine-Tuning for Efficient and Task-Specific Optimization of Large Language Models Robust Graph Neural Networks for Stability Analysis in Dynamic Networks

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-08-10T14:55:04.208018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 618b8673-81ec-4fd5-b02c-e0f5cde8e70e · outbound

This paper cites Transforming Multidimensional Time Series into Interpretable Event Sequences for Advanced Data Mining.

Dynamic Adaptation of LoRA Fine-Tuning for Efficient and Task-Specific Optimization of Large Language Models Transforming Multidimensional Time Series into Interpretable Event Sequences for Advanced Data Mining

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-10T14:55:04.128683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 76765577-20dc-4c24-89e9-43f2d1eb9482 · outbound

This paper cites Machine Learning Techniques for Pattern Recognition in High-Dimensional Data Mining.

Dynamic Adaptation of LoRA Fine-Tuning for Efficient and Task-Specific Optimization of Large Language Models Machine Learning Techniques for Pattern Recognition in High-Dimensional Data Mining

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-10T14:55:04.132494Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 55faed76-bee7-4f53-8da8-801b0b375962 · outbound

This paper cites Comparison of Tree-Based Feature Selection Algorithms on Biological Omics Dataset,.

Dynamic Adaptation of LoRA Fine-Tuning for Efficient and Task-Specific Optimization of Large Language Models Comparison of Tree-Based Feature Selection Algorithms on Biological Omics Dataset,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:55:04.452414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation bbb6e954-7d2a-470f-893d-cf9c1ef6abc5 · outbound

This paper cites Investigation of Creating Accessibility Linked Data Based on Publicly Available Accessibility Datasets.

Dynamic Adaptation of LoRA Fine-Tuning for Efficient and Task-Specific Optimization of Large Language Models Investigation of Creating Accessibility Linked Data Based on Publicly Available Accessibility Datasets

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-10T14:55:04.139652Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 73db2d75-7dfb-45ed-b750-7917c3591f02 · outbound

This paper cites Comprehensive Review of Feature Extraction Techniques for sEMG Signal Classification: From Handcrafted Features to Deep Learning Approaches,.

Dynamic Adaptation of LoRA Fine-Tuning for Efficient and Task-Specific Optimization of Large Language Models Comprehensive Review of Feature Extraction Techniques for sEMG Signal Classification: From Handcrafted Features to Deep Learning Approaches,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:55:04.435770Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation d437c1f4-48ee-42b3-90a5-5caf510b715f · outbound

This paper cites The Role of the Equestrian Professional in Bridle and Bit Fit in the United Kingdom,.

Dynamic Adaptation of LoRA Fine-Tuning for Efficient and Task-Specific Optimization of Large Language Models The Role of the Equestrian Professional in Bridle and Bit Fit in the United Kingdom,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:55:04.424782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5d13148f-2c1f-492a-9ed6-a2316d5a3074 · outbound

This paper cites Intelligent edge based smart farming with LoRa and IoT,.

Dynamic Adaptation of LoRA Fine-Tuning for Efficient and Task-Specific Optimization of Large Language Models Intelligent edge based smart farming with LoRa and IoT,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:55:04.414215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Pith citing papers

Observation aa073737-8d5b-4218-97d7-da6f7c627c79 · inbound

Graph-Based Spectral Decomposition for Parameter Coordination in Language Model Fine-Tuning cites this paper.

Graph-Based Spectral Decomposition for Parameter Coordination in Language Model Fine-Tuning Dynamic Adaptation of LoRA Fine-Tuning for Efficient and Task-Specific Optimization of Large Language Models

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-16T05:52:08.677769Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ce19044d-dbd0-41d1-a388-420fe8335dcb · inbound

A Lightweight Framework for Trigger-Guided LoRA-Based Self-Adaptation in LLMs cites this paper.

A Lightweight Framework for Trigger-Guided LoRA-Based Self-Adaptation in LLMs Dynamic Adaptation of LoRA Fine-Tuning for Efficient and Task-Specific Optimization of Large Language Models

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-08-15T16:30:45.391838Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.