Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
The Expressive Power of Tuning Only the Normalization Layers
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2302.07937.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-08T16:11:46.003613Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T15:27:04.706141Z
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 ff89c698-7111-4163-8de0-ba3202f95ce3 · inbound
The impact of allocation strategies in subset learning on the expressive power of neural networks cites this paper.
The impact of allocation strategies in subset learning on the expressive power of neural networks The Expressive Power of Tuning Only the Normalization Layers
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T16:11:46.003613Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d27249f1-6869-4dfb-972b-69ca02cdfbd9 · inbound
Deepfake Detection that Generalizes Across Benchmarks cites this paper.
Deepfake Detection that Generalizes Across Benchmarks The Expressive Power of Tuning Only the Normalization Layers
Reference 19
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T23:51:55.078464Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 9827b0a1-f2b3-42db-9e3d-f05150c08d35 · inbound
Exploiting Layer Normalization Fine-tuning in Visual Transformer Foundation Models for Classification cites this paper.
Exploiting Layer Normalization Fine-tuning in Visual Transformer Foundation Models for Classification The Expressive Power of Tuning Only the Normalization Layers
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T22:05:31.158369Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e445e1a4-374a-447d-8680-ddffd62aef80 · inbound
Structural Correspondence and Universal Approximation in Diagonal plus Low-Rank Neural Networks cites this paper.
Structural Correspondence and Universal Approximation in Diagonal plus Low-Rank Neural Networks The Expressive Power of Tuning Only the Normalization Layers
Reference 19
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T18:36:07.908101Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation ce17e58b-4374-4b21-8872-886db4d2a5f3 · inbound
DroneFINE: Domain-Aware Parameter-Efficient Fine-Tuning of Vision-Language Detectors for Drone Images cites this paper.
DroneFINE: Domain-Aware Parameter-Efficient Fine-Tuning of Vision-Language Detectors for Drone Images The Expressive Power of Tuning Only the Normalization Layers
Reference 9
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-02T15:27:04.707539Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.