Paper Citation Record · LEDGER

LoftQ: LoRA-Fine-Tuning-Aware Quantization for Large Language Models

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 38 inbound Pith citation observations for arXiv:2310.08659.

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

pith.paper-citation-record.v1
2310.08659 v4

Coverage vector

measured 0 of 0 reference resolution

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measured 38 of 38 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 38 of 38 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T04:33:58.725286Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T11:37:03.185820Z

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Outbound references

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Pith citing papers

Observation 7d305197-e35e-4ecd-bec4-e98de6928c66 · inbound

Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey cites this paper.

Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey LoftQ: LoRA-Fine-Tuning-Aware Quantization for Large Language Models

Reference 125

Resolution: verified exact; arxiv_id, observed 2026-05-13T11:32:37.151309Z

Source-reported events for the cited work

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Observation 495db1fa-9662-48ee-845b-a18999a3ee4c · inbound

A Survey on Efficient Inference for Large Language Models cites this paper.

A Survey on Efficient Inference for Large Language Models LoftQ: LoRA-Fine-Tuning-Aware Quantization for Large Language Models

Reference 191

Resolution: verified exact; arxiv_id, observed 2026-05-15T02:39:33.195960Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 24bcf98d-e982-4731-b82c-a36fa93da434 · inbound

Harmful Fine-tuning Attacks and Defenses for Large Language Models: A Survey cites this paper.

Harmful Fine-tuning Attacks and Defenses for Large Language Models: A Survey LoftQ: LoRA-Fine-Tuning-Aware Quantization for Large Language Models

Reference 90

Resolution: verified exact; arxiv_id, observed 2026-05-23T20:58:26.059834Z

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

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

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

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Observation 741b03ff-afe5-4020-9fd4-7e25ea565df4 · inbound

Large Language Model Enabled Multi-Task Physical Layer Network cites this paper.

Large Language Model Enabled Multi-Task Physical Layer Network LoftQ: LoRA-Fine-Tuning-Aware Quantization for Large Language Models

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-10T23:20:15.321577Z

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Observation 283f9c67-e33e-4ae8-ad25-a3165e22c142 · inbound

AdvAnchor: Enhancing Diffusion Model Unlearning with Adversarial Anchors cites this paper.

AdvAnchor: Enhancing Diffusion Model Unlearning with Adversarial Anchors LoftQ: LoRA-Fine-Tuning-Aware Quantization for Large Language Models

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-10T23:43:48.086587Z

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Observation f88a258f-7f1d-4def-a702-682ea89bb388 · inbound

FlexQuant: Elastic Quantization Framework for Locally Hosted LLM on Edge Devices cites this paper.

FlexQuant: Elastic Quantization Framework for Locally Hosted LLM on Edge Devices LoftQ: LoRA-Fine-Tuning-Aware Quantization for Large Language Models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-10T20:56:20.726481Z

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Observation f698981f-810b-4879-a20f-b5988f4a26d3 · inbound

Matryoshka Re-Ranker: A Flexible Re-Ranking Architecture With Configurable Depth and Width cites this paper.

Matryoshka Re-Ranker: A Flexible Re-Ranking Architecture With Configurable Depth and Width LoftQ: LoRA-Fine-Tuning-Aware Quantization for Large Language Models

Reference 23

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Observation a9ec578e-86d3-4db1-b9c0-de359d3387ba · inbound

FBQuant: FeedBack Quantization for Large Language Models cites this paper.

FBQuant: FeedBack Quantization for Large Language Models LoftQ: LoRA-Fine-Tuning-Aware Quantization for Large Language Models

Reference 18

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Observation 3a7dc95f-8886-4098-b396-fb5cc10540bb · inbound

CLoQ: Enhancing Fine-Tuning of Quantized LLMs via Calibrated LoRA Initialization cites this paper.

CLoQ: Enhancing Fine-Tuning of Quantized LLMs via Calibrated LoRA Initialization LoftQ: LoRA-Fine-Tuning-Aware Quantization for Large Language Models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-09T23:25:54.674492Z

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Observation c7257759-b6f9-401d-9f4f-720fa22eab29 · inbound

HASSLE-free: A unified Framework for Sparse plus Low-Rank Matrix Decomposition for LLMs cites this paper.

HASSLE-free: A unified Framework for Sparse plus Low-Rank Matrix Decomposition for LLMs LoftQ: LoRA-Fine-Tuning-Aware Quantization for Large Language Models

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-09T17:26:45.478477Z

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Observation a3e99755-66b2-4246-b47f-05bdb8fd7346 · inbound

Instance-dependent Early Stopping cites this paper.

Instance-dependent Early Stopping LoftQ: LoRA-Fine-Tuning-Aware Quantization for Large Language Models

Reference 52

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Observation 448f8bc4-5c02-4654-a90c-a552d35cd2f8 · inbound

SHARP: Accelerating Language Model Inference by SHaring Adjacent layers with Recovery Parameters cites this paper.

SHARP: Accelerating Language Model Inference by SHaring Adjacent layers with Recovery Parameters LoftQ: LoRA-Fine-Tuning-Aware Quantization for Large Language Models

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-08T13:44:00.560727Z

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Observation 618795ae-8671-44ed-974f-c1d124e659d9 · inbound

LowRA: Accurate and Efficient LoRA Fine-Tuning of LLMs under 2 Bits cites this paper.

LowRA: Accurate and Efficient LoRA Fine-Tuning of LLMs under 2 Bits LoftQ: LoRA-Fine-Tuning-Aware Quantization for Large Language Models

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-08T10:26:45.458342Z

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Observation 0258a746-0fdd-4232-b58e-f9a605c254f2 · inbound

Quaff: Quantized Parameter-Efficient Fine-Tuning under Outlier Spatial Stability Hypothesis cites this paper.

Quaff: Quantized Parameter-Efficient Fine-Tuning under Outlier Spatial Stability Hypothesis LoftQ: LoRA-Fine-Tuning-Aware Quantization for Large Language Models

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-07T15:43:40.222936Z

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Observation 8d7d5870-8742-4079-8880-eecdc479c54f · inbound

Saliency-Aware Quantized Imitation Learning for Efficient Robotic Control cites this paper.

Saliency-Aware Quantized Imitation Learning for Efficient Robotic Control LoftQ: LoRA-Fine-Tuning-Aware Quantization for Large Language Models

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T15:26:44.070397Z

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Observation 91debe91-8a70-4300-af79-51c24fd523bd · inbound

Mixture of Low Rank Adaptation with Partial Parameter Sharing for Time Series Forecasting cites this paper.

Mixture of Low Rank Adaptation with Partial Parameter Sharing for Time Series Forecasting LoftQ: LoRA-Fine-Tuning-Aware Quantization for Large Language Models

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T14:46:00.357902Z

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Observation e0b61838-6496-408e-8588-2e9aa86bb6fc · inbound

DeCAF: Decentralized Consensus-And-Factorization for Low-Rank Adaptation of Foundation Models cites this paper.

DeCAF: Decentralized Consensus-And-Factorization for Low-Rank Adaptation of Foundation Models LoftQ: LoRA-Fine-Tuning-Aware Quantization for Large Language Models

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T13:42:47.300407Z

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Observation a57bced4-5871-47f7-ab5c-06b8c8a85b68 · inbound

Progtuning: Progressive Fine-tuning Framework for Transformer-based Language Models cites this paper.

Progtuning: Progressive Fine-tuning Framework for Transformer-based Language Models LoftQ: LoRA-Fine-Tuning-Aware Quantization for Large Language Models

Reference 23

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Observation bd81917b-8d0c-4ab5-a18c-4bec614a83b3 · inbound

LoRA-Mixer: Coordinate Modular LoRA Experts Through Serial Attention Routing cites this paper.

LoRA-Mixer: Coordinate Modular LoRA Experts Through Serial Attention Routing LoftQ: LoRA-Fine-Tuning-Aware Quantization for Large Language Models

Reference 51

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation bbe36e6d-c13a-4e40-bd3e-6a6bac78033f · inbound

ConsNoTrainLoRA: Data-driven Weight Initialization of Low-rank Adapters using Constraints cites this paper.

ConsNoTrainLoRA: Data-driven Weight Initialization of Low-rank Adapters using Constraints LoftQ: LoRA-Fine-Tuning-Aware Quantization for Large Language Models

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T18:48:52.053760Z

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Observation d6550fcd-d067-451e-a83f-53a038108174 · inbound

Rethinking 1-bit Optimization Leveraging Pre-trained Large Language Models cites this paper.

Rethinking 1-bit Optimization Leveraging Pre-trained Large Language Models LoftQ: LoRA-Fine-Tuning-Aware Quantization for Large Language Models

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-21T23:44:26.517127Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation d63e35b2-fe0b-4e0d-bdcc-ba2b240cf54a · inbound

Quantized but Deceptive? A Multi-Dimensional Truthfulness Evaluation of Quantized LLMs cites this paper.

Quantized but Deceptive? A Multi-Dimensional Truthfulness Evaluation of Quantized LLMs LoftQ: LoRA-Fine-Tuning-Aware Quantization for Large Language Models

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-05T15:52:44.972851Z

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Observation bd700577-3454-4994-b342-9aed805def73 · inbound

AutoNeural: Co-Designing Vision-Language Models for NPU Inference cites this paper.

AutoNeural: Co-Designing Vision-Language Models for NPU Inference LoftQ: LoRA-Fine-Tuning-Aware Quantization for Large Language Models

Reference 12

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Observation 445d0408-5d1a-425d-a68f-e98aad22d6b2 · inbound

Efficient Reasoning on the Edge cites this paper.

Efficient Reasoning on the Edge LoftQ: LoRA-Fine-Tuning-Aware Quantization for Large Language Models

Reference 113

Resolution: unresolved; no resolver link, observed 2026-07-13T23:28:12.790404Z

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Observation f4bae0c1-6444-4dd6-9af7-125d6d9971cd · inbound

ECG Foundation Models and Medical LLMs for Agentic Cardiovascular Intelligence at the Edge: A Review and Outlook cites this paper.

ECG Foundation Models and Medical LLMs for Agentic Cardiovascular Intelligence at the Edge: A Review and Outlook LoftQ: LoRA-Fine-Tuning-Aware Quantization for Large Language Models

Reference 95

Resolution: verified exact; arxiv_id, observed 2026-05-13T20:28:14.293292Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 9e16b279-20c3-4dd1-9023-df2b50276d4a · inbound

Intent2Tx: Benchmarking LLMs for Translating Natural Language Intents into Ethereum Transactions cites this paper.

Intent2Tx: Benchmarking LLMs for Translating Natural Language Intents into Ethereum Transactions LoftQ: LoRA-Fine-Tuning-Aware Quantization for Large Language Models

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-12T10:31:29.363812Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation ab54e6a1-af95-408d-a599-ead2e56b9bac · inbound

HCInfer: An Efficient Inference System via Error Compensation for Resource-Constrained Devices cites this paper.

HCInfer: An Efficient Inference System via Error Compensation for Resource-Constrained Devices LoftQ: LoRA-Fine-Tuning-Aware Quantization for Large Language Models

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-11T18:41:10.671686Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 2bd09531-8c53-43d9-87c3-73b4f09c75be · inbound

GPart: End-to-End Isometric Fine-Tuning via Global Parameter Partitioning cites this paper.

GPart: End-to-End Isometric Fine-Tuning via Global Parameter Partitioning LoftQ: LoRA-Fine-Tuning-Aware Quantization for Large Language Models

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-06-30T21:35:04.493416Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 40fe6ea4-dc0c-4d1a-8ed2-ddc95b7162db · inbound

ProjQ: Project-and-Quantize for Adapter-Aware LLM Compression cites this paper.

ProjQ: Project-and-Quantize for Adapter-Aware LLM Compression LoftQ: LoRA-Fine-Tuning-Aware Quantization for Large Language Models

Reference 69

Resolution: metadata mismatch; arxiv_id, observed 2026-06-28T19:12:34.473054Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation f866fda1-75d6-460b-a520-3e7312368775 · inbound

GPTQ-intrinsic LoRA: A Near-optimal Algorithm for Low-precision Quantization with Low-rank Adaptation cites this paper.

GPTQ-intrinsic LoRA: A Near-optimal Algorithm for Low-precision Quantization with Low-rank Adaptation LoftQ: LoRA-Fine-Tuning-Aware Quantization for Large Language Models

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-07-01T21:06:14.455209Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 55e26d30-5115-4edf-ac60-b3f3571e4ad9 · inbound

SPEAR: A System for Post-Quantization Error-Adaptive Recovery Enabling Efficient Low-Bit LLM Serving cites this paper.

SPEAR: A System for Post-Quantization Error-Adaptive Recovery Enabling Efficient Low-Bit LLM Serving LoftQ: LoRA-Fine-Tuning-Aware Quantization for Large Language Models

Reference 28

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T16:07:08.479523Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 3bf18679-2eff-49e8-8d10-af39729de88f · inbound

Dive Into the Implicit Biases of Low-rank Vision-language Alignment cites this paper.

Dive Into the Implicit Biases of Low-rank Vision-language Alignment LoftQ: LoRA-Fine-Tuning-Aware Quantization for Large Language Models

Reference 23

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation dbf61f83-0c84-4835-8c80-dc3831fcec6a · inbound

Non-vacuous Generalization Bounds for Reinforcement Learning with Verifiable Rewards cites this paper.

Non-vacuous Generalization Bounds for Reinforcement Learning with Verifiable Rewards LoftQ: LoRA-Fine-Tuning-Aware Quantization for Large Language Models

Reference 40

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Observation 63ae96a0-4c52-4f9d-afc7-3476d71482ca · inbound

Examining the Efficacy of Graph Neural Network Message-Passing in Regression Contexts cites this paper.

Examining the Efficacy of Graph Neural Network Message-Passing in Regression Contexts LoftQ: LoRA-Fine-Tuning-Aware Quantization for Large Language Models

Reference 239

Resolution: unresolved; no resolver link, observed 2026-08-01T16:42:29.884291Z

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Observation cd470429-be81-4e33-8050-4eeef7875a07 · inbound

ST-LoRA: Single Trajectory LoRA Ensemble for Uncertainty Aware Agricultural Segmentation cites this paper.

ST-LoRA: Single Trajectory LoRA Ensemble for Uncertainty Aware Agricultural Segmentation LoftQ: LoRA-Fine-Tuning-Aware Quantization for Large Language Models

Reference 146

Resolution: unresolved; no resolver link, observed 2026-08-06T00:10:39.915105Z

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Observation 44f63c31-715f-44d3-9130-7603eed4dba2 · inbound

Small Foundation Models of Human Cognition and Behaviour cites this paper.

Small Foundation Models of Human Cognition and Behaviour LoftQ: LoRA-Fine-Tuning-Aware Quantization for Large Language Models

Reference 109

Resolution: unresolved; no resolver link, observed 2026-08-08T17:54:40.235752Z

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Observation 48a5f62e-59e2-4bc5-b908-d551709fce22 · inbound

Small Foundation Models of Human Cognition and Behaviour cites this paper.

Small Foundation Models of Human Cognition and Behaviour LoftQ: LoRA-Fine-Tuning-Aware Quantization for Large Language Models

Reference 109

Resolution: unresolved; no resolver link, observed 2026-08-11T04:20:16.502030Z

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