Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Neural Architecture Search for Parameter-Efficient Fine-tuning of Large Pre-trained Language Models
As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2305.16597.
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 2026-08-17T06:30:58.91139+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T12:13:55.228601Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-13T11:32:36.862971Z
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 e324103e-59eb-47d2-9e2d-8a6a484f63e7 · inbound
Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey cites this paper.
Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey Neural Architecture Search for Parameter-Efficient Fine-tuning of Large Pre-trained Language Models
Reference 64
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T11:32:36.864416Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation db01a03d-8a12-44a8-8aa5-8b3b5e49098f · inbound
CLOVER: Cross-Layer Orthogonal Vectors Pruning and Fine-Tuning cites this paper.
CLOVER: Cross-Layer Orthogonal Vectors Pruning and Fine-Tuning Neural Architecture Search for Parameter-Efficient Fine-tuning of Large Pre-trained Language Models
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T12:13:55.228601Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b5b61a83-c7d0-4a4b-99c9-7b3de0329556 · inbound
Survey of different Large Language Model Architectures: Trends, Benchmarks, and Challenges cites this paper.
Survey of different Large Language Model Architectures: Trends, Benchmarks, and Challenges Neural Architecture Search for Parameter-Efficient Fine-tuning of Large Pre-trained Language Models
Reference 119
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T22:41:17.568635Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 893469f6-6f61-445a-b117-77ab73870ae6 · inbound
PrunePEFT: Iterative Hybrid Pruning for Parameter-Efficient Fine-tuning of LLMs cites this paper.
PrunePEFT: Iterative Hybrid Pruning for Parameter-Efficient Fine-tuning of LLMs Neural Architecture Search for Parameter-Efficient Fine-tuning of Large Pre-trained Language Models
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:35:20.155261Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 48728fb9-b584-4d8f-9f85-12ee20ccf587 · 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 Neural Architecture Search for Parameter-Efficient Fine-tuning of Large Pre-trained Language Models
Reference 52
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T09:51:03.399956Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.