Paper Citation Record · LEDGER

QR-LoRA: QR-Based Low-Rank Adaptation for Efficient Fine-Tuning of Large Language Models

As of 7 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 1 inbound Pith citation observation for arXiv:2508.21810.

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

pith.paper-citation-record.v1
2508.21810 v1

Coverage vector

measured 20 of 20 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T14:01:15.661519Z

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T08:12:24.117727Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

20 of 20 outbound references displayed

verified exact0
verified fuzzy13
unresolved7
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3ddac215-de47-4db6-b663-035d3891e5e3 · outbound

This paper cites In- trinsic dimensionality explains the effectiveness of language model fine-tuning, 2020.

QR-LoRA: QR-Based Low-Rank Adaptation for Efficient Fine-Tuning of Large Language Models In- trinsic dimensionality explains the effectiveness of language model fine-tuning, 2020

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:01:17.591794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2dc00892-6803-452d-9cb4-9f7662801d24 · outbound

This paper cites LoRA-XS: Low-Rank Adaptation with Extremely Small Number of Parameters.

QR-LoRA: QR-Based Low-Rank Adaptation for Efficient Fine-Tuning of Large Language Models LoRA-XS: Low-Rank Adaptation with Extremely Small Number of Parameters

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-05T14:01:14.342264Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a6dc4555-c916-4fbc-8277-684f8db70ba2 · outbound

This paper cites OLoRA: Orthonormal Low-Rank Adaptation of Large Language Models.

QR-LoRA: QR-Based Low-Rank Adaptation for Efficient Fine-Tuning of Large Language Models OLoRA: Orthonormal Low-Rank Adaptation of Large Language Models

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-05T14:01:14.414529Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8e2a4117-8371-4271-86a3-fba0f43e4853 · outbound

This paper cites Robust principal component analysis? Journal of the ACM (JACM), 58(3):1–37, 2011.

QR-LoRA: QR-Based Low-Rank Adaptation for Efficient Fine-Tuning of Large Language Models Robust principal component analysis? Journal of the ACM (JACM), 58(3):1–37, 2011

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:01:17.581545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 08e55b16-e426-4427-b794-b21357af6b69 · outbound

This paper cites QLoRA: Efficient Finetuning of Quantized LLMs.

QR-LoRA: QR-Based Low-Rank Adaptation for Efficient Fine-Tuning of Large Language Models QLoRA: Efficient Finetuning of Quantized LLMs

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-05T14:01:14.541225Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 65c8fe53-eeca-4f89-af6b-ed2326ad2e7a · outbound

This paper cites Matrix computa- tions.

QR-LoRA: QR-Based Low-Rank Adaptation for Efficient Fine-Tuning of Large Language Models Matrix computa- tions

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:01:17.477218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8d2041b8-e736-421a-97b7-1e1d84e4a112 · outbound

This paper cites Nlora: Nystr ¨om- initiated low-rank adaptation for large language models,.

QR-LoRA: QR-Based Low-Rank Adaptation for Efficient Fine-Tuning of Large Language Models Nlora: Nystr ¨om- initiated low-rank adaptation for large language models,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:01:17.335983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9f11b5e4-7abc-49bb-9cde-4b807d83a8cf · outbound

This paper cites Sparseadapter: An easy approach for improv- ing the parameter-efficiency of adapters, 2022.

QR-LoRA: QR-Based Low-Rank Adaptation for Efficient Fine-Tuning of Large Language Models Sparseadapter: An easy approach for improv- ing the parameter-efficiency of adapters, 2022

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:01:17.209672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation fb5b0015-7ccc-4ce8-8dca-4a7467cbd7be · outbound

This paper cites Lora: Low-rank adaptation of large language models.

QR-LoRA: QR-Based Low-Rank Adaptation for Efficient Fine-Tuning of Large Language Models Lora: Low-rank adaptation of large language models

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-05T14:01:14.848877Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1d8abb6d-9499-4b0f-b68c-8207f9e7e275 · outbound

This paper cites T-net: Parametrizing fully convolutional nets with a single high-order tensor, 2019.

QR-LoRA: QR-Based Low-Rank Adaptation for Efficient Fine-Tuning of Large Language Models T-net: Parametrizing fully convolutional nets with a single high-order tensor, 2019

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:01:17.066159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 51d48bb9-f900-4803-9770-776312c4c215 · outbound

This paper cites Speeding-up convolutional neural networks using fine-tuned cp-decomposition, 2015.

QR-LoRA: QR-Based Low-Rank Adaptation for Efficient Fine-Tuning of Large Language Models Speeding-up convolutional neural networks using fine-tuned cp-decomposition, 2015

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:01:16.928968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 82e45b3f-9cde-4e1a-855f-0fdece0ea3f6 · outbound

This paper cites Measuring the Intrinsic Dimension of Objective Landscapes.

QR-LoRA: QR-Based Low-Rank Adaptation for Efficient Fine-Tuning of Large Language Models Measuring the Intrinsic Dimension of Objective Landscapes

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-05T14:01:15.048616Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5fb6ebdf-90d5-4416-b461-ec93cb83331e · outbound

This paper cites Tracking meets lora: Faster training, larger model, stronger performance, 2024.

QR-LoRA: QR-Based Low-Rank Adaptation for Efficient Fine-Tuning of Large Language Models Tracking meets lora: Faster training, larger model, stronger performance, 2024

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:01:16.793475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3b9de2b3-f790-49da-9ce5-bfbc10ac1baf · outbound

This paper cites Dora: Weight-decomposed low-rank adaptation, 2024.

QR-LoRA: QR-Based Low-Rank Adaptation for Efficient Fine-Tuning of Large Language Models Dora: Weight-decomposed low-rank adaptation, 2024

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:01:16.626170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 84a22cf1-045f-48d0-bd26-3af3484e790e · outbound

This paper cites ALoRA: Allocating Low-Rank Adaptation for Fine-tuning Large Language Models.

QR-LoRA: QR-Based Low-Rank Adaptation for Efficient Fine-Tuning of Large Language Models ALoRA: Allocating Low-Rank Adaptation for Fine-tuning Large Language Models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-05T14:01:15.260967Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 72f34271-b2bd-4cfa-811e-22cb0cba6f51 · outbound

This paper cites Stable low- rank tensor decomposition for compression of convolutional neural network, 2020.

QR-LoRA: QR-Based Low-Rank Adaptation for Efficient Fine-Tuning of Large Language Models Stable low- rank tensor decomposition for compression of convolutional neural network, 2020

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:01:16.484685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c5d29899-0645-43ef-8086-84909fc1c2cc · outbound

This paper cites Introduction to linear algebra.

QR-LoRA: QR-Based Low-Rank Adaptation for Efficient Fine-Tuning of Large Language Models Introduction to linear algebra

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:01:16.315915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 62e926e4-61a0-4536-87a7-c63842037056 · outbound

This paper cites Trefethen and David Bau.

QR-LoRA: QR-Based Low-Rank Adaptation for Efficient Fine-Tuning of Large Language Models Trefethen and David Bau

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:01:16.155856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 344306ce-24ec-4f9e-af86-577f03ddf948 · outbound

This paper cites an unresolved cited work.

QR-LoRA: QR-Based Low-Rank Adaptation for Efficient Fine-Tuning of Large Language Models Unresolved cited work

Reference 19

Resolution: unresolved; raw_fallback, observed 2026-08-05T14:01:16.021783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3003af99-bf9a-4d77-bfd2-4684352ca070 · outbound

This paper cites Adaptive budget allocation for parameter-efficient fine- tuning.

QR-LoRA: QR-Based Low-Rank Adaptation for Efficient Fine-Tuning of Large Language Models Adaptive budget allocation for parameter-efficient fine- tuning

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:01:15.852163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Pith citing papers

Observation 7c9e7a74-b6b2-4e43-a50d-3c2fbd06a4d2 · inbound

A Vision Toward Energy-Efficient Domain-Specific Artificial Intelligence Models and Agents cites this paper.

A Vision Toward Energy-Efficient Domain-Specific Artificial Intelligence Models and Agents QR-LoRA: QR-Based Low-Rank Adaptation for Efficient Fine-Tuning of Large Language Models

Reference 149

Resolution: unresolved; no resolver link, observed 2026-08-04T08:12:24.117727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.