Paper Citation Record · LEDGER

AutoLoRA: Automatically Tuning Matrix Ranks in Low-Rank Adaptation Based on Meta Learning

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2403.09113.

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

pith.paper-citation-record.v1
2403.09113 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 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 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T17:05:22.596077Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T08:04:28.507171Z

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 5fe89f58-4c75-40c2-ad88-f341c65e242d · inbound

Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey cites this paper.

Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey AutoLoRA: Automatically Tuning Matrix Ranks in Low-Rank Adaptation Based on Meta Learning

Reference 86

Resolution: verified exact; arxiv_id, observed 2026-05-13T11:32:36.993699Z

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 fedb0fa4-2164-4baf-b5ad-4a5b26e4d878 · inbound

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

RandLoRA: Full-rank parameter-efficient fine-tuning of large models AutoLoRA: Automatically Tuning Matrix Ranks in Low-Rank Adaptation Based on Meta Learning

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-09T17:05:22.596077Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7e36d3e4-ab68-4dec-b32e-e684e1974427 · inbound

Improved Representation Steering for Language Models cites this paper.

Improved Representation Steering for Language Models AutoLoRA: Automatically Tuning Matrix Ranks in Low-Rank Adaptation Based on Meta Learning

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-07T13:51:33.904931Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 492606b0-5b6c-41c8-94f7-cf1feca4f091 · inbound

The Future of Continual Learning in the Era of Foundation Models: Three Key Directions cites this paper.

The Future of Continual Learning in the Era of Foundation Models: Three Key Directions AutoLoRA: Automatically Tuning Matrix Ranks in Low-Rank Adaptation Based on Meta Learning

Reference 98

Resolution: unresolved; no resolver link, observed 2026-08-07T11:10:17.647358Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7eb802b0-6104-435a-80ea-5a60e0e33731 · inbound

Regularizing Subspace Redundancy of Low-Rank Adaptation cites this paper.

Regularizing Subspace Redundancy of Low-Rank Adaptation AutoLoRA: Automatically Tuning Matrix Ranks in Low-Rank Adaptation Based on Meta Learning

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-06T13:23:39.723157Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b0e1558d-9f50-46db-a336-f476b114e423 · inbound

Sensitivity-LoRA: Low-Load Sensitivity-Based Fine-Tuning for Large Language Models cites this paper.

Sensitivity-LoRA: Low-Load Sensitivity-Based Fine-Tuning for Large Language Models AutoLoRA: Automatically Tuning Matrix Ranks in Low-Rank Adaptation Based on Meta Learning

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-04T19:43:38.510930Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cb9e114d-9d46-4ea2-a976-5cf3ce5fdca6 · inbound

A Language-Guided Bayesian Optimization for Efficient LoRA Hyperparameter Search cites this paper.

A Language-Guided Bayesian Optimization for Efficient LoRA Hyperparameter Search AutoLoRA: Automatically Tuning Matrix Ranks in Low-Rank Adaptation Based on Meta Learning

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-03T09:45:45.692460Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c17b6d58-dce4-4376-872a-96b3fa082c00 · inbound

MatryoshkaLoRA: Learning Accurate Hierarchical Low-Rank Representations for LLM Fine-Tuning cites this paper.

MatryoshkaLoRA: Learning Accurate Hierarchical Low-Rank Representations for LLM Fine-Tuning AutoLoRA: Automatically Tuning Matrix Ranks in Low-Rank Adaptation Based on Meta Learning

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-05-11T03:10:53.337011Z

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 aa2dab37-d103-4266-b84d-5e8c7b09fd87 · inbound

BaRA: Bayesian Adaptive Rank Allocation for Parameter-Efficient Fine-Tuning cites this paper.

BaRA: Bayesian Adaptive Rank Allocation for Parameter-Efficient Fine-Tuning AutoLoRA: Automatically Tuning Matrix Ranks in Low-Rank Adaptation Based on Meta Learning

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-06-30T08:04:28.508952Z

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 5841cbb6-3b6f-4779-af2c-35866cdeb0d0 · inbound

DynImmune-BERT: Dynamic Immune Repertoire Modeling with Neural ODE Driven Continuous Transformers cites this paper.

DynImmune-BERT: Dynamic Immune Repertoire Modeling with Neural ODE Driven Continuous Transformers AutoLoRA: Automatically Tuning Matrix Ranks in Low-Rank Adaptation Based on Meta Learning

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-01T18:39:20.320426Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f4da4575-7bc2-47bd-aff8-549511f582d6 · inbound

DynImmune-BERT: Dynamic Immune Repertoire Modeling with Neural ODE Driven Continuous Transformers cites this paper.

DynImmune-BERT: Dynamic Immune Repertoire Modeling with Neural ODE Driven Continuous Transformers AutoLoRA: Automatically Tuning Matrix Ranks in Low-Rank Adaptation Based on Meta Learning

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-04T04:12:47.990171Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a1f40be9-5fa4-4842-929b-dfa9e4795fae · inbound

LAARA: Layer-Aware Adaptive Rank Allocation for Parameter-Efficient Fine-Tuning cites this paper.

LAARA: Layer-Aware Adaptive Rank Allocation for Parameter-Efficient Fine-Tuning AutoLoRA: Automatically Tuning Matrix Ranks in Low-Rank Adaptation Based on Meta Learning

Reference 92

Resolution: unresolved; no resolver link, observed 2026-08-02T09:01:52.844517Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.