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Paper Citation Record · LEDGER

Training BatchNorm and Only BatchNorm: On the Expressive Power of Random Features in CNNs

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2003.00152.

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

pith.paper-citation-record.v1
2003.00152 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:11:30.222662Z

measured 1 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

79
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation e6dbd324-2154-495d-8a5f-e29076fdcf7b · inbound

15,500 Seconds: Lean UAV Classification Using EfficientNet and Lightweight Fine-Tuning cites this paper.

15,500 Seconds: Lean UAV Classification Using EfficientNet and Lightweight Fine-Tuning Training BatchNorm and Only BatchNorm: On the Expressive Power of Random Features in CNNs

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-07T15:11:30.222662Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:11:30.222662Z digest=sha256:aac9ce8972dee9a4316f4f20129036933ece97b84172717e75bea1c7325c8144

Observation 803712bd-e059-4807-8bc7-ec547d522980 · inbound

From LLMs to Edge: Parameter-Efficient Fine-Tuning on Edge Devices cites this paper.

From LLMs to Edge: Parameter-Efficient Fine-Tuning on Edge Devices Training BatchNorm and Only BatchNorm: On the Expressive Power of Random Features in CNNs

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-06T10:41:43.313947Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:41:43.313947Z digest=sha256:144df74b03cf854c0973203fd57fe0c9d4f3b2496f230f35935613dc1234d1cd

Observation 1f27c3b1-7ce0-4804-9225-f20fdc648295 · inbound

DoSReMC: Domain Shift Resilient Mammography Classification using Batch Normalization Adaptation cites this paper.

DoSReMC: Domain Shift Resilient Mammography Classification using Batch Normalization Adaptation Training BatchNorm and Only BatchNorm: On the Expressive Power of Random Features in CNNs

Reference 59

Resolution
verified exact
arxiv_id, observed 2026-05-18T22:11:52.465050Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-18T22:07:26.319459Z digest=sha256:8bf0bed366f296f26fd5c380110606b0a2dc0367f637fb9222635aeff55e384a

Observation 1e710cf6-c949-4f3a-b88c-6e5f74034a55 · inbound

Enhancing Novel View Synthesis from extremely sparse views with SfM-free 3D Gaussian Splatting Framework cites this paper.

Enhancing Novel View Synthesis from extremely sparse views with SfM-free 3D Gaussian Splatting Framework Training BatchNorm and Only BatchNorm: On the Expressive Power of Random Features in CNNs

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-05T17:56:51.731405Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T17:56:51.731405Z digest=sha256:94f39d971537809d9e622edcafa415c203c46ead31d994b0ba1a8e52684db044

Observation 294e0897-6b51-483f-82a3-20c3a159ec62 · inbound

AlphaWiSE: Adaptive Weight Interpolation for Continual Multimodal Representation Learning cites this paper.

AlphaWiSE: Adaptive Weight Interpolation for Continual Multimodal Representation Learning Training BatchNorm and Only BatchNorm: On the Expressive Power of Random Features in CNNs

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-02T00:14:56.764678Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T00:14:56.764678Z digest=sha256:f9cb325322a7670ff014eb85028c9c39c00d6ff9b47c7c3eea72df258b8bee20