Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
NoRA: Nested Low-Rank Adaptation for Efficient Fine-Tuning Large Models
As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2408.10280.
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 2026-08-21T06:32:19.484+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T12:37:16.443399Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-10T14:20:30.278735Z
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 9534321c-2b14-4854-b86e-977c9c0ecf84 · inbound
FineGates: LLMs Finetuning with Compression using Stochastic Gates cites this paper.
FineGates: LLMs Finetuning with Compression using Stochastic Gates NoRA: Nested Low-Rank Adaptation for Efficient Fine-Tuning Large Models
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T13:37:39.044748Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a16c9667-beb4-4b56-acdd-77c1e4bf909c · inbound
Sparsity Outperforms Low-Rank Projections in Few-Shot Adaptation cites this paper.
Sparsity Outperforms Low-Rank Projections in Few-Shot Adaptation NoRA: Nested Low-Rank Adaptation for Efficient Fine-Tuning Large Models
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T12:37:16.443399Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 624d1b06-176e-4794-ab99-6a0eb15adf61 · inbound
GaRA-SAM: Robustifying Segment Anything Model with Gated-Rank Adaptation cites this paper.
GaRA-SAM: Robustifying Segment Anything Model with Gated-Rank Adaptation NoRA: Nested Low-Rank Adaptation for Efficient Fine-Tuning Large Models
Reference 37
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:17:57.848691Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b389bf80-8f3b-4c60-80a4-906c95d75456 · inbound
LOST: Low-rank and Sparse Pre-training for Large Language Models cites this paper.
LOST: Low-rank and Sparse Pre-training for Large Language Models NoRA: Nested Low-Rank Adaptation for Efficient Fine-Tuning Large Models
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T17:44:20.037368Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ba9ca4a9-3430-4dca-88f5-dfa238aa01d0 · inbound
TLoRA+: A Low-Rank Parameter-Efficient Fine-Tuning Method for Large Language Models cites this paper.
TLoRA+: A Low-Rank Parameter-Efficient Fine-Tuning Method for Large Language Models NoRA: Nested Low-Rank Adaptation for Efficient Fine-Tuning Large Models
Reference 7
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T14:20:30.281648Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.