Paper Citation Record · LEDGER

SingLoRA: Low Rank Adaptation Using a Single Matrix

As of 9 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 0 inbound Pith citation observations for arXiv:2507.05566.

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

pith.paper-citation-record.v1
2507.05566 v1

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:38:17.656155Z

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

23 of 23 outbound references displayed

verified exact0
verified fuzzy9
unresolved14
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e91990ab-8c47-412a-b001-1afada1478a8 · outbound

This paper cites Emerging properties in self-supervised vision transformers.

SingLoRA: Low Rank Adaptation Using a Single Matrix Emerging properties in self-supervised vision transformers

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T19:38:15.099042Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 04c39996-c1ae-47ab-9ab1-46d659f0e05b · outbound

This paper cites KronA: Parameter Efficient Tuning with Kronecker Adapter.

SingLoRA: Low Rank Adaptation Using a Single Matrix KronA: Parameter Efficient Tuning with Kronecker Adapter

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T19:38:15.155839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2a466616-e921-4703-b301-bad21c3ff9fa · outbound

This paper cites On the impact of the activation function on deep neural networks training.

SingLoRA: Low Rank Adaptation Using a Single Matrix On the impact of the activation function on deep neural networks training

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:38:19.328698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 16ac998f-462d-42bc-b382-a8e1857f49e4 · outbound

This paper cites Lora+: Efficient low rank adaptation of large models.

SingLoRA: Low Rank Adaptation Using a Single Matrix Lora+: Efficient low rank adaptation of large models

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:38:19.319205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b65026d6-c069-4621-b7eb-532bce592035 · outbound

This paper cites Deep residual learning for image recognition.

SingLoRA: Low Rank Adaptation Using a Single Matrix Deep residual learning for image recognition

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T19:38:15.475371Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 654c66e8-b4a4-417d-a9f1-f56e3537b8c2 · outbound

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

SingLoRA: Low Rank Adaptation Using a Single Matrix LoRA: Low-Rank Adaptation of Large Language Models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T19:38:15.570435Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 999515d1-e927-4982-bfc8-5d796c9df1da · outbound

This paper cites Fedpara: Low-rank hadamard prod- uct for communication-efficient federated learning.

SingLoRA: Low Rank Adaptation Using a Single Matrix Fedpara: Low-rank hadamard prod- uct for communication-efficient federated learning

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:38:19.304289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 80e797d9-0712-4b25-b347-401a247da552 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

SingLoRA: Low Rank Adaptation Using a Single Matrix Adam: A Method for Stochastic Optimization

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T19:38:15.667118Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5a63b2cd-7401-4ff0-a329-6a8d48669534 · outbound

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

SingLoRA: Low Rank Adaptation Using a Single Matrix Dora: Weight-decomposed low-rank adaptation

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:38:19.293974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 798b9c33-030c-465d-bc25-0295a405d115 · outbound

This paper cites Learning transferable visual models from natural language supervision.

SingLoRA: Low Rank Adaptation Using a Single Matrix Learning transferable visual models from natural language supervision

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T19:38:15.898601Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 465d10b7-db44-4325-bd12-25516ce23f70 · outbound

This paper cites High- resolution image synthesis with latent diffusion models.

SingLoRA: Low Rank Adaptation Using a Single Matrix High- resolution image synthesis with latent diffusion models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T19:38:15.993443Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fe034c92-bc37-4cba-9699-ef3dc9e7b217 · outbound

This paper cites Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation.

SingLoRA: Low Rank Adaptation Using a Single Matrix Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:38:19.115274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation becde22c-1635-472e-aab0-be941aa1c06f · outbound

This paper cites Deep Information Propagation.

SingLoRA: Low Rank Adaptation Using a Single Matrix Deep Information Propagation

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T19:38:16.313257Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d3ed0767-954a-4c1c-985d-f3878aeb33a4 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

SingLoRA: Low Rank Adaptation Using a Single Matrix LLaMA: Open and Efficient Foundation Language Models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T19:38:16.414483Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aada361a-1209-4dc6-bbc8-47ec75cb8ed5 · outbound

This paper cites Dylora: Parameter efficient tuning of pre-trained models using dynamic search-free low-rank adaptation.

SingLoRA: Low Rank Adaptation Using a Single Matrix Dylora: Parameter efficient tuning of pre-trained models using dynamic search-free low-rank adaptation

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:38:18.737377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 44ccaeea-198f-44a7-9096-2916006e0f17 · outbound

This paper cites Glue: A multi-task benchmark and analysis platform for natural language under- standing.

SingLoRA: Low Rank Adaptation Using a Single Matrix Glue: A multi-task benchmark and analysis platform for natural language under- standing

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:38:18.536881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a9fd95c1-acac-4044-b814-f73f22274a83 · outbound

This paper cites Tensor Programs V: Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer.

SingLoRA: Low Rank Adaptation Using a Single Matrix Tensor Programs V: Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T19:38:16.774558Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 902f8844-e176-4fce-ad62-704af23d6f40 · outbound

This paper cites Tensor Programs VI: Feature Learning in Infinite-Depth Neural Networks.

SingLoRA: Low Rank Adaptation Using a Single Matrix Tensor Programs VI: Feature Learning in Infinite-Depth Neural Networks

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T19:38:16.960316Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3cf8c25d-b2ba-4075-a0af-6040319857db · outbound

This paper cites Lora done rite: Robust invariant transformation equilibration for lora optimization.

SingLoRA: Low Rank Adaptation Using a Single Matrix Lora done rite: Robust invariant transformation equilibration for lora optimization

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:38:18.274900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 14d0e14a-b491-4839-8a4f-e0fa816ac1e1 · outbound

This paper cites Riemannian Preconditioned LoRA for Fine-Tuning Foundation Models.

SingLoRA: Low Rank Adaptation Using a Single Matrix Riemannian Preconditioned LoRA for Fine-Tuning Foundation Models

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T19:38:17.133482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a71d0fbc-dfcf-440e-8a9f-79f6ad266781 · outbound

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

SingLoRA: Low Rank Adaptation Using a Single Matrix Adalora: Adaptive budget allocation for parameter- efficient fine-tuning

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:38:18.005788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1e311720-137b-4784-b3f1-52d732647a88 · outbound

This paper cites LoRA-drop: Efficient LoRA Parameter Pruning based on Output Evaluation.

SingLoRA: Low Rank Adaptation Using a Single Matrix LoRA-drop: Efficient LoRA Parameter Pruning based on Output Evaluation

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T19:38:17.491829Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a329e872-e948-4d14-9fd5-7fb543b8c378 · outbound

This paper cites Delta-LoRA: Fine-Tuning High-Rank Parameters with the Delta of Low-Rank Matrices.

SingLoRA: Low Rank Adaptation Using a Single Matrix Delta-LoRA: Fine-Tuning High-Rank Parameters with the Delta of Low-Rank Matrices

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T19:38:17.656155Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.