Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
LoRA Dropout as a Sparsity Regularizer for Overfitting Control
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2404.09610.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T21:36:38.028151Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T14:08:21.932896Z
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 bbe6b508-73c1-4b3d-bea1-d6cd1d211362 · inbound
Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey cites this paper.
Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey LoRA Dropout as a Sparsity Regularizer for Overfitting Control
Reference 88
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T11:32:36.999296Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation a3cbc716-6122-4f52-9c7d-2bdf49e20e66 · inbound
Software Engineering for Large Language Models: Research Status, Challenges and the Road Ahead cites this paper.
Software Engineering for Large Language Models: Research Status, Challenges and the Road Ahead LoRA Dropout as a Sparsity Regularizer for Overfitting Control
Reference 200
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T21:36:38.028151Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d3bd287b-246f-4302-82ab-37d7c445573d · inbound
RCG: Safety-Critical Scenario Generation for Robust Autonomous Driving via Real-World Crash Grounding cites this paper.
RCG: Safety-Critical Scenario Generation for Robust Autonomous Driving via Real-World Crash Grounding LoRA Dropout as a Sparsity Regularizer for Overfitting Control
Reference 60
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T17:34:05.918085Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 733922c7-e768-42c4-8661-de32d0abee3d · inbound
BeatFM: Improving Beat Tracking with Pre-trained Music Foundation Model cites this paper.
BeatFM: Improving Beat Tracking with Pre-trained Music Foundation Model LoRA Dropout as a Sparsity Regularizer for Overfitting Control
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T20:53:19.543142Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 30750dc6-100e-4404-9dd6-3bb19de6cbfa · inbound
Parameter-Efficient Multi-Task Learning via Progressive Task-Specific Adaptation cites this paper.
Parameter-Efficient Multi-Task Learning via Progressive Task-Specific Adaptation LoRA Dropout as a Sparsity Regularizer for Overfitting Control
Reference 24
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T13:41:25.353792Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation af254bd9-57ca-49e1-b0f7-5253de3d2a74 · inbound
A Language-Guided Bayesian Optimization for Efficient LoRA Hyperparameter Search cites this paper.
A Language-Guided Bayesian Optimization for Efficient LoRA Hyperparameter Search LoRA Dropout as a Sparsity Regularizer for Overfitting Control
Reference 2021
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T09:45:42.953279Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 69efa364-4044-47c3-aac2-25f379122cc5 · inbound
PureCC: Pure Learning for Text-to-Image Concept Customization cites this paper.
PureCC: Pure Learning for Text-to-Image Concept Customization LoRA Dropout as a Sparsity Regularizer for Overfitting Control
Reference 27
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T11:10:02.195293Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 5c02c39e-0076-45e3-a55d-c0eb59e54b68 · inbound
The Hidden Power of Scaling Factor in LoRA Optimization cites this paper.
The Hidden Power of Scaling Factor in LoRA Optimization LoRA Dropout as a Sparsity Regularizer for Overfitting Control
Reference 84
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-03T14:08:21.934172Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 316086ef-5861-4be6-8b90-bccb62e2e1dd · inbound
Assessing the Benefits of Combining Advanced Deep Learning Techniques for Post-Disaster Building Damage Assessment from UAV Imagery cites this paper.
Assessing the Benefits of Combining Advanced Deep Learning Techniques for Post-Disaster Building Damage Assessment from UAV Imagery LoRA Dropout as a Sparsity Regularizer for Overfitting Control
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T18:33:56.909201Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.