Paper Citation Record · LEDGER

LoRA-XS: Low-Rank Adaptation with Extremely Small Number of Parameters

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 18 inbound Pith citation observations for arXiv:2405.17604.

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

pith.paper-citation-record.v1
2405.17604 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 18 of 18 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 18 of 18 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T17:05:22.480219Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T14:08:21.912213Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
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External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 564d14ce-5b4c-4847-9416-2652b17c7bac · inbound

RandLoRA: Full-rank parameter-efficient fine-tuning of large models cites this paper.

RandLoRA: Full-rank parameter-efficient fine-tuning of large models LoRA-XS: Low-Rank Adaptation with Extremely Small Number of Parameters

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-09T17:05:22.480219Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 003ee60f-5673-4d56-a477-a643e2fd7e61 · inbound

HRP: High-Rank Preheating for Superior LoRA Initialization cites this paper.

HRP: High-Rank Preheating for Superior LoRA Initialization LoRA-XS: Low-Rank Adaptation with Extremely Small Number of Parameters

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-08T11:51:09.942047Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a53f9ce5-b36a-4c03-96b6-1357fae0158f · inbound

Dual Decomposition of Weights and Singular Value Low Rank Adaptation cites this paper.

Dual Decomposition of Weights and Singular Value Low Rank Adaptation LoRA-XS: Low-Rank Adaptation with Extremely Small Number of Parameters

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T15:39:36.214177Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0746c1e7-aa97-4e50-b269-2fbc6807cd5e · inbound

Taming LLMs by Scaling Learning Rates with Gradient Grouping cites this paper.

Taming LLMs by Scaling Learning Rates with Gradient Grouping LoRA-XS: Low-Rank Adaptation with Extremely Small Number of Parameters

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T11:57:28.972955Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7ee612e8-ae6c-4045-b8b8-51397e35bdc7 · inbound

LARGO: Low-Rank Regulated Gradient Projection for Robust Parameter Efficient Fine-Tuning cites this paper.

LARGO: Low-Rank Regulated Gradient Projection for Robust Parameter Efficient Fine-Tuning LoRA-XS: Low-Rank Adaptation with Extremely Small Number of Parameters

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T00:58:07.648517Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7d63506e-f843-499f-b50b-437159d7e42f · inbound

Dynamic Context-oriented Decomposition for Task-aware Low-rank Adaptation with Less Forgetting and Faster Convergence cites this paper.

Dynamic Context-oriented Decomposition for Task-aware Low-rank Adaptation with Less Forgetting and Faster Convergence LoRA-XS: Low-Rank Adaptation with Extremely Small Number of Parameters

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T00:43:45.168599Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f27059d-3527-4167-b794-182897c406d0 · 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 LoRA-XS: Low-Rank Adaptation with Extremely Small Number of Parameters

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T18:48:50.089318Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

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

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 f63cceec-33f9-4616-a5f3-8d347e7035c8 · inbound

GiVA: Gradient-Informed Bases for Vector-Based Adaptation cites this paper.

GiVA: Gradient-Informed Bases for Vector-Based Adaptation LoRA-XS: Low-Rank Adaptation with Extremely Small Number of Parameters

Reference 60

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T14:36:05.771294Z

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 b31e3173-f2c3-432d-8f4a-6ad463fecbf9 · inbound

BoostLoRA: Growing Effective Rank by Boosting Adapters cites this paper.

BoostLoRA: Growing Effective Rank by Boosting Adapters LoRA-XS: Low-Rank Adaptation with Extremely Small Number of Parameters

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-12T10:06:27.685175Z

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 682668c4-6e90-4c81-b554-452f764f9f67 · inbound

Bayesian Fine-tuning in Projected Subspaces cites this paper.

Bayesian Fine-tuning in Projected Subspaces LoRA-XS: Low-Rank Adaptation with Extremely Small Number of Parameters

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-11T04:00:56.242653Z

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 119b54a7-da0e-4d4f-b3b9-f97a1748c54d · inbound

CERSA: Cumulative Energy-Retaining Subspace Adaptation for Memory-Efficient Fine-Tuning cites this paper.

CERSA: Cumulative Energy-Retaining Subspace Adaptation for Memory-Efficient Fine-Tuning LoRA-XS: Low-Rank Adaptation with Extremely Small Number of Parameters

Reference 48

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T08:21:24.536668Z

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 57154df0-c127-481e-bb18-608358ab88c2 · inbound

LOFT: Low-Rank Orthogonal Fine-Tuning via Task-Aware Support Selection cites this paper.

LOFT: Low-Rank Orthogonal Fine-Tuning via Task-Aware Support Selection LoRA-XS: Low-Rank Adaptation with Extremely Small Number of Parameters

Reference 1

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T06:17:23.228322Z

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 c9c1d49b-9d53-4825-bf78-22b12c205a4b · inbound

LoCO: Low-rank Compositional Rotation Fine-tuning cites this paper.

LoCO: Low-rank Compositional Rotation Fine-tuning LoRA-XS: Low-Rank Adaptation with Extremely Small Number of Parameters

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-20T19:53:42.603234Z

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 d4050f35-e33e-4985-a887-ff32a40b16a3 · inbound

The Hidden Power of Scaling Factor in LoRA Optimization cites this paper.

The Hidden Power of Scaling Factor in LoRA Optimization LoRA-XS: Low-Rank Adaptation with Extremely Small Number of Parameters

Reference 75

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T14:08:21.913678Z

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 a37bc0f4-6b8c-404f-9163-bc7ae9d8beeb · inbound

Spectral Rewiring for Exploration, Purification, and Model Merging cites this paper.

Spectral Rewiring for Exploration, Purification, and Model Merging LoRA-XS: Low-Rank Adaptation with Extremely Small Number of Parameters

Reference 43

Resolution: unresolved; no resolver link, observed 2026-07-12T05:08:55.438431Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6aa1f6c3-3c52-4278-a1c6-b896511050f1 · inbound

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

Non-vacuous Generalization Bounds for Reinforcement Learning with Verifiable Rewards LoRA-XS: Low-Rank Adaptation with Extremely Small Number of Parameters

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-02T02:01:48.319847Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5a4d4070-8823-4727-9e83-952b02dcbe4a · inbound

SOS-LoRA: Static Orthogonal-Subspace Low-Rank Adaptation with Fixed Multi-Scale Scaling cites this paper.

SOS-LoRA: Static Orthogonal-Subspace Low-Rank Adaptation with Fixed Multi-Scale Scaling LoRA-XS: Low-Rank Adaptation with Extremely Small Number of Parameters

Reference 240

Resolution: unresolved; no resolver link, observed 2026-08-02T09:51:03.828809Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.