Paper Citation Record · LEDGER

MiLoRA: Harnessing Minor Singular Components for Parameter-Efficient LLM Finetuning

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 20 inbound Pith citation observations for arXiv:2406.09044.

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

pith.paper-citation-record.v1
2406.09044 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 20 of 20 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T20:08:27.651649Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T22:16:16.704073Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
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malformed identifier0
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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 9e76d1a2-587a-45c8-841d-6f64ea54a29d · inbound

KaSA: Knowledge-Aware Singular-Value Adaptation of Large Language Models cites this paper.

KaSA: Knowledge-Aware Singular-Value Adaptation of Large Language Models MiLoRA: Harnessing Minor Singular Components for Parameter-Efficient LLM Finetuning

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-11T20:08:27.651649Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fdd913a4-78e6-47b2-8725-f71945240b74 · inbound

DoTA: Weight-Decomposed Tensor Adaptation for Large Language Models cites this paper.

DoTA: Weight-Decomposed Tensor Adaptation for Large Language Models MiLoRA: Harnessing Minor Singular Components for Parameter-Efficient LLM Finetuning

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-10T23:12:34.594169Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aba8b957-862b-4ca5-a4a8-21ac16ada476 · inbound

Spectral-Aware Low-Rank Adaptation for Speaker Verification cites this paper.

Spectral-Aware Low-Rank Adaptation for Speaker Verification MiLoRA: Harnessing Minor Singular Components for Parameter-Efficient LLM Finetuning

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-10T21:51:10.015354Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d0fafb3b-4950-44cb-adef-3d98cdf74328 · inbound

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

Transformer-Squared: Self-adaptive LLMs MiLoRA: Harnessing Minor Singular Components for Parameter-Efficient LLM Finetuning

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-10T21:28:02.769832Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 325f9bf9-00f4-40f4-a80f-31156abc5cd8 · inbound

GaussMark: A Practical Approach for Structural Watermarking of Language Models cites this paper.

GaussMark: A Practical Approach for Structural Watermarking of Language Models MiLoRA: Harnessing Minor Singular Components for Parameter-Efficient LLM Finetuning

Reference 99

Resolution: unresolved; no resolver link, observed 2026-08-10T19:12:46.711585Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation befca0fa-de13-4594-9dc7-7f0a29e17542 · 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 MiLoRA: Harnessing Minor Singular Components for Parameter-Efficient LLM Finetuning

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-08T20:55:14.221629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 591586fa-f677-4a93-a88b-84a5c13b1e2e · inbound

MAP: Revisiting Weight Decomposition for Low-Rank Adaptation cites this paper.

MAP: Revisiting Weight Decomposition for Low-Rank Adaptation MiLoRA: Harnessing Minor Singular Components for Parameter-Efficient LLM Finetuning

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-07T12:56:52.746767Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e8ff4a90-f7a2-4c19-bf39-ce188bfc7599 · inbound

Weight Spectra Induced Efficient Model Adaptation cites this paper.

Weight Spectra Induced Efficient Model Adaptation MiLoRA: Harnessing Minor Singular Components for Parameter-Efficient LLM Finetuning

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-07T13:00:59.481232Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eda3c0dd-bf0b-47b8-bf5a-cd10c8eb27d5 · 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 MiLoRA: Harnessing Minor Singular Components for Parameter-Efficient LLM Finetuning

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-07T00:43:49.601007Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 490933a9-dce7-4924-b80a-e5f942df45dd · inbound

Towards Higher Effective Rank in Parameter-efficient Fine-tuning using Khatri--Rao Product cites this paper.

Towards Higher Effective Rank in Parameter-efficient Fine-tuning using Khatri--Rao Product MiLoRA: Harnessing Minor Singular Components for Parameter-Efficient LLM Finetuning

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-06T10:28:54.724935Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b8838a17-6a27-46b9-a456-fb21048d293a · inbound

ScatterPrism: convergence for generative simulation and inverse problems in particle and nuclear physics cites this paper.

ScatterPrism: convergence for generative simulation and inverse problems in particle and nuclear physics MiLoRA: Harnessing Minor Singular Components for Parameter-Efficient LLM Finetuning

Reference 74

Resolution: unresolved; no resolver link, observed 2026-07-13T14:28:05.261852Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b4549540-fba1-4e04-b616-09095cff49b3 · inbound

ScatterPrism: convergence for generative simulation and inverse problems in particle and nuclear physics cites this paper.

ScatterPrism: convergence for generative simulation and inverse problems in particle and nuclear physics MiLoRA: Harnessing Minor Singular Components for Parameter-Efficient LLM Finetuning

Reference 74

Resolution: unresolved; no resolver link, observed 2026-07-15T11:44:19.622453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 47fd44e3-e4e7-4dd1-bd34-34d10c36b269 · inbound

Enhancing Continual Learning of Vision-Language Models via Dynamic Prefix Weighting cites this paper.

Enhancing Continual Learning of Vision-Language Models via Dynamic Prefix Weighting MiLoRA: Harnessing Minor Singular Components for Parameter-Efficient LLM Finetuning

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-05-10T12:10:22.976077Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 33149245-9ad8-441e-99a8-347a49608d3b · inbound

VLA-GSE: Boosting Parameter-Efficient Fine-Tuning in VLA with Generalized and Specialized Experts cites this paper.

VLA-GSE: Boosting Parameter-Efficient Fine-Tuning in VLA with Generalized and Specialized Experts MiLoRA: Harnessing Minor Singular Components for Parameter-Efficient LLM Finetuning

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-05-11T20:26:10.243637Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a2de56f4-d49c-4cc3-8b3e-1642f32ad249 · inbound

Rotation-Preserving Supervised Fine-Tuning cites this paper.

Rotation-Preserving Supervised Fine-Tuning MiLoRA: Harnessing Minor Singular Components for Parameter-Efficient LLM Finetuning

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-05-13T06:27:24.407572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 66f2828c-a5f0-4d45-9782-bcfd2e66d693 · inbound

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

LoCO: Low-rank Compositional Rotation Fine-tuning MiLoRA: Harnessing Minor Singular Components for Parameter-Efficient LLM Finetuning

Reference 49

Resolution: verified exact; arxiv_id, observed 2026-05-20T19:53:42.645260Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a59e16a5-8750-47f7-a197-01e7d2dff6ef · inbound

FuRA: Full-Rank Parameter-Efficient Fine-Tuning with Spectral Preconditioning cites this paper.

FuRA: Full-Rank Parameter-Efficient Fine-Tuning with Spectral Preconditioning MiLoRA: Harnessing Minor Singular Components for Parameter-Efficient LLM Finetuning

Reference 47

Resolution: verified exact; arxiv_id, observed 2026-05-25T05:40:23.840303Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 3e9cca7a-36d8-444d-8165-9820f1eb7861 · inbound

On the Scaling of PEFT: Towards Million Personal Models of Trillion Parameters cites this paper.

On the Scaling of PEFT: Towards Million Personal Models of Trillion Parameters MiLoRA: Harnessing Minor Singular Components for Parameter-Efficient LLM Finetuning

Reference 31

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T22:16:16.705399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 30fd13f8-8188-4a6f-896e-4f401835c99f · 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 MiLoRA: Harnessing Minor Singular Components for Parameter-Efficient LLM Finetuning

Reference 264

Resolution: unresolved; no resolver link, observed 2026-08-02T09:51:03.884647Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8f3f4c05-b874-4f87-a6ad-e34403b5763b · inbound

The Intruder Threshold: A Spectral Law for LoRA Fine-Tuning cites this paper.

The Intruder Threshold: A Spectral Law for LoRA Fine-Tuning MiLoRA: Harnessing Minor Singular Components for Parameter-Efficient LLM Finetuning

Reference 15

Resolution: unresolved; no resolver link, observed 2026-07-30T15:13:37.017432Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.