Paper Citation Record · LEDGER

SVFT: Parameter-Efficient Fine-Tuning with Singular Vectors

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2405.19597.

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

pith.paper-citation-record.v1
2405.19597 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:28:02.707334Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T13:46:25.923805Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

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 2c433fd6-f02c-4917-959b-d6fc5c6979ae · inbound

Transformer-Squared: Self-adaptive LLMs cites this paper.

Transformer-Squared: Self-adaptive LLMs SVFT: Parameter-Efficient Fine-Tuning with Singular Vectors

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-10T21:28:02.707334Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 737bc96d-a566-40cd-8bb9-98dce0343138 · inbound

LoRA-X: Bridging Foundation Models with Training-Free Cross-Model Adaptation cites this paper.

LoRA-X: Bridging Foundation Models with Training-Free Cross-Model Adaptation SVFT: Parameter-Efficient Fine-Tuning with Singular Vectors

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-10T12:26:23.457857Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dbd45e8f-4f08-467c-b082-4a78aa346a0b · inbound

No Task Left Behind: Isotropic Model Merging with Common and Task-Specific Subspaces cites this paper.

No Task Left Behind: Isotropic Model Merging with Common and Task-Specific Subspaces SVFT: Parameter-Efficient Fine-Tuning with Singular Vectors

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-08T20:55:14.209581Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9751f65f-0509-4bdf-ac4c-f591a22ec975 · inbound

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

Dual Decomposition of Weights and Singular Value Low Rank Adaptation SVFT: Parameter-Efficient Fine-Tuning with Singular Vectors

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T15:39:38.081852Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ade8f903-2171-4f60-b37a-c1d35b1fb749 · inbound

CoLA: Collaborative Low-Rank Adaptation cites this paper.

CoLA: Collaborative Low-Rank Adaptation SVFT: Parameter-Efficient Fine-Tuning with Singular Vectors

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T15:21:53.971909Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3850cd44-e170-4585-9935-af9e32d5b505 · inbound

RefLoRA: Refactored Low-Rank Adaptation for Efficient Fine-Tuning of Large Models cites this paper.

RefLoRA: Refactored Low-Rank Adaptation for Efficient Fine-Tuning of Large Models SVFT: Parameter-Efficient Fine-Tuning with Singular Vectors

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-07T14:28:15.841023Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7d57f4b1-d466-40c7-8e08-2a1bbdbaa835 · inbound

QR-LoRA: Efficient and Disentangled Fine-tuning via QR Decomposition for Customized Generation cites this paper.

QR-LoRA: Efficient and Disentangled Fine-tuning via QR Decomposition for Customized Generation SVFT: Parameter-Efficient Fine-Tuning with Singular Vectors

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T19:53:03.648292Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 51e73d22-4792-4b2f-b635-7b7dd07a767b · inbound

HyperAdapt: Simple High-Rank Adaptation cites this paper.

HyperAdapt: Simple High-Rank Adaptation SVFT: Parameter-Efficient Fine-Tuning with Singular Vectors

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-18T13:46:25.926571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c3282621-355e-4ca4-95e1-9fdca39b5676 · 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 SVFT: Parameter-Efficient Fine-Tuning with Singular Vectors

Reference 235

Resolution: unresolved; no resolver link, observed 2026-08-02T09:51:03.817400Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.