Paper Citation Record · LEDGER

Optimizing Large Language Models with an Enhanced LoRA Fine-Tuning Algorithm for Efficiency and Robustness in NLP Tasks

As of 20 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 2 inbound Pith citation observations for arXiv:2412.18729.

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

pith.paper-citation-record.v1
2412.18729 v1

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T04:33:58.882336Z

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T00:40:57.953021Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T21:18:28.225111Z

Reference resolution

22 of 22 outbound references displayed

verified exact2
verified fuzzy5
unresolved15
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 580bf108-4ee5-468a-ab14-f6d3f7105bab · outbound

This paper cites LoftQ: LoRA-Fine-Tuning-Aware Quantization for Large Language Models.

Optimizing Large Language Models with an Enhanced LoRA Fine-Tuning Algorithm for Efficiency and Robustness in NLP Tasks LoftQ: LoRA-Fine-Tuning-Aware Quantization for Large Language Models

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-11T04:33:58.725286Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b07b59da-b484-4dd8-b96c-668f406da213 · outbound

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

Optimizing Large Language Models with an Enhanced LoRA Fine-Tuning Algorithm for Efficiency and Robustness in NLP Tasks Improving the RAG- based Personalized Discharge Care System by Introducing the Memory Mechanism

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-11T04:33:58.732546Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aa18e881-28ed-4c4b-bae7-6416cb0faa90 · outbound

This paper cites LoRA ensembles for large language model fine-tuning.

Optimizing Large Language Models with an Enhanced LoRA Fine-Tuning Algorithm for Efficiency and Robustness in NLP Tasks LoRA ensembles for large language model fine-tuning

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-11T04:33:58.738906Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d5a21a27-83b8-4fb9-b0b3-e7605dcd7369 · outbound

This paper cites Chain of LoRA: Efficient Fine-tuning of Language Models via Residual Learning.

Optimizing Large Language Models with an Enhanced LoRA Fine-Tuning Algorithm for Efficiency and Robustness in NLP Tasks Chain of LoRA: Efficient Fine-tuning of Language Models via Residual Learning

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-11T04:33:58.745420Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 09846afc-91a4-42e1-8dba-7cc5acb7fcfd · outbound

This paper cites MixLoRA: Enhancing Large Language Models Fine-Tuning with LoRA-based Mixture of Experts.

Optimizing Large Language Models with an Enhanced LoRA Fine-Tuning Algorithm for Efficiency and Robustness in NLP Tasks MixLoRA: Enhancing Large Language Models Fine-Tuning with LoRA-based Mixture of Experts

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-11T04:33:58.751714Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bf34e788-60c4-42d9-bc30-da4e23076b66 · outbound

This paper cites Parameter-Efficient Fine-Tuning Methods for Pretrained Language Models: A Critical Review and Assessment.

Optimizing Large Language Models with an Enhanced LoRA Fine-Tuning Algorithm for Efficiency and Robustness in NLP Tasks Parameter-Efficient Fine-Tuning Methods for Pretrained Language Models: A Critical Review and Assessment

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-11T04:33:58.757367Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 73932704-7e1b-4382-aa9a-82617478d96f · outbound

This paper cites Huang, Z.

Optimizing Large Language Models with an Enhanced LoRA Fine-Tuning Algorithm for Efficiency and Robustness in NLP Tasks Huang, Z

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:33:59.687529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 566a720a-3f1a-42fd-92f0-ac34f8e8af3b · outbound

This paper cites Calibration Learning for Few-shot Novel Product Description,.

Optimizing Large Language Models with an Enhanced LoRA Fine-Tuning Algorithm for Efficiency and Robustness in NLP Tasks Calibration Learning for Few-shot Novel Product Description,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-11T04:33:58.772778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 18fb09a4-8756-4663-9550-1244842af11f · outbound

This paper cites Integrative Analysis of Financial Market Sentiment Using CNN and GRU for Risk Prediction and Alert Systems.

Optimizing Large Language Models with an Enhanced LoRA Fine-Tuning Algorithm for Efficiency and Robustness in NLP Tasks Integrative Analysis of Financial Market Sentiment Using CNN and GRU for Risk Prediction and Alert Systems

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-08-11T04:33:59.114784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 37a48648-ebf0-40e9-ab9f-73bf41d010de · outbound

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

Optimizing Large Language Models with an Enhanced LoRA Fine-Tuning Algorithm for Efficiency and Robustness in NLP Tasks A Self-training Framework for Automated Medical Report Generation,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-11T04:33:58.787671Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 44daf93e-9309-4e9f-b269-be53ba01f24b · outbound

This paper cites Deep Learning for Cross-Border Transaction Anomaly Detection in Anti-Money Laundering Systems.

Optimizing Large Language Models with an Enhanced LoRA Fine-Tuning Algorithm for Efficiency and Robustness in NLP Tasks Deep Learning for Cross-Border Transaction Anomaly Detection in Anti-Money Laundering Systems

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-08-11T04:33:59.071097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c6bb979f-27c9-43f1-9e99-8ae7170ba928 · outbound

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

Optimizing Large Language Models with an Enhanced LoRA Fine-Tuning Algorithm for Efficiency and Robustness in NLP Tasks LoRA-LiteE: A Computationally Efficient Framework for Chatbot Preference-Tuning

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-11T04:33:58.810330Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d303a7f0-bba6-45b2-a3da-066a7781e202 · outbound

This paper cites Harnessing LLMs for API Interactions: A Framework for Classification and Synthetic Data Generation.

Optimizing Large Language Models with an Enhanced LoRA Fine-Tuning Algorithm for Efficiency and Robustness in NLP Tasks Harnessing LLMs for API Interactions: A Framework for Classification and Synthetic Data Generation

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-11T04:33:58.820714Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7ff833fd-1684-43c0-9b92-c039be290c74 · outbound

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

Optimizing Large Language Models with an Enhanced LoRA Fine-Tuning Algorithm for Efficiency and Robustness in NLP Tasks Self- Supervised Graph Neural Networks for Enhanced Feature Extraction in Heterogeneous Information Networks,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-11T04:33:58.827309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4e831d3b-d261-40c9-b9b0-d04813354a6e · outbound

This paper cites Research on Adverse Drug Reaction Prediction Model Combining Knowledge Graph Embedding and Deep Learning,.

Optimizing Large Language Models with an Enhanced LoRA Fine-Tuning Algorithm for Efficiency and Robustness in NLP Tasks Research on Adverse Drug Reaction Prediction Model Combining Knowledge Graph Embedding and Deep Learning,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:33:59.580599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3c656560-6a33-4050-89bd-138971189cb6 · outbound

This paper cites Multi-Source Data-Driven LSTM Framework for Enhanced Stock Price Prediction and Volatility Analysis,.

Optimizing Large Language Models with an Enhanced LoRA Fine-Tuning Algorithm for Efficiency and Robustness in NLP Tasks Multi-Source Data-Driven LSTM Framework for Enhanced Stock Price Prediction and Volatility Analysis,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-11T04:33:58.841906Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fe25b789-df91-463b-8cef-89d23cae9459 · outbound

This paper cites Dynamic Risk Control and Asset Allocation Using Q-Learning in Financial Markets,.

Optimizing Large Language Models with an Enhanced LoRA Fine-Tuning Algorithm for Efficiency and Robustness in NLP Tasks Dynamic Risk Control and Asset Allocation Using Q-Learning in Financial Markets,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:33:59.531110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7a95eaec-4d8e-494e-ad4e-68bd9de5a2cc · outbound

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

Optimizing Large Language Models with an Enhanced LoRA Fine-Tuning Algorithm for Efficiency and Robustness in NLP Tasks Transforming Multidimensional Time Series into Interpretable Event Sequences for Advanced Data Mining

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-11T04:33:58.855382Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 33c1a8a2-abaf-460b-9bfe-c53a122406f4 · outbound

This paper cites BERT: A Review of Applications in Natural Language Processing and Understanding.

Optimizing Large Language Models with an Enhanced LoRA Fine-Tuning Algorithm for Efficiency and Robustness in NLP Tasks BERT: A Review of Applications in Natural Language Processing and Understanding

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-11T04:33:58.861541Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 051c8239-24bf-4777-8414-16bf4e03fcfd · outbound

This paper cites RoBERTa-LSTM: A hybrid model for sentiment analysis with transformer and recurrent neural network,.

Optimizing Large Language Models with an Enhanced LoRA Fine-Tuning Algorithm for Efficiency and Robustness in NLP Tasks RoBERTa-LSTM: A hybrid model for sentiment analysis with transformer and recurrent neural network,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:33:59.504121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d97d2098-34b6-49f4-957c-eac3c158af02 · outbound

This paper cites Harnessing T5 large language model for enhanced PDF text comprehension and Q&A generation,.

Optimizing Large Language Models with an Enhanced LoRA Fine-Tuning Algorithm for Efficiency and Robustness in NLP Tasks Harnessing T5 large language model for enhanced PDF text comprehension and Q&A generation,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:33:59.469853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c4be0402-aa9e-4bc0-8345-a819c1727f6b · outbound

This paper cites GPT-4 Technical Report.

Optimizing Large Language Models with an Enhanced LoRA Fine-Tuning Algorithm for Efficiency and Robustness in NLP Tasks GPT-4 Technical Report

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-11T04:33:58.882336Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 5341b78f-6264-400a-8101-7c091df39b21 · inbound

Optimized Unet with Attention Mechanism for Multi-Scale Semantic Segmentation cites this paper.

Optimized Unet with Attention Mechanism for Multi-Scale Semantic Segmentation Optimizing Large Language Models with an Enhanced LoRA Fine-Tuning Algorithm for Efficiency and Robustness in NLP Tasks

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-09T00:40:57.953021Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 68091e6e-b36c-4acd-92e5-14aef383cc08 · inbound

Capsule Network-Based Semantic Intent Modeling for Human-Computer Interaction cites this paper.

Capsule Network-Based Semantic Intent Modeling for Human-Computer Interaction Optimizing Large Language Models with an Enhanced LoRA Fine-Tuning Algorithm for Efficiency and Robustness in NLP Tasks

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-08-06T21:18:28.307347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.