Paper Citation Record · LEDGER

NoRA: Nested Low-Rank Adaptation for Efficient Fine-Tuning Large Models

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2408.10280.

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

pith.paper-citation-record.v1
2408.10280 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T17:44:20.037368Z

measured 0 of 1 external citation measurements

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 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 2026-08-15T06:32:42.880941+00:00.