Paper Citation Record · LEDGER

CLIP Itself is a Strong Fine-tuner: Achieving 85.7% and 88.0% Top-1 Accuracy with ViT-B and ViT-L on ImageNet

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2212.06138.

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

pith.paper-citation-record.v1
2212.06138 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T17:42:20.389779Z

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

16
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 abb3b4de-a5fb-450c-94db-24e9993da96e · inbound

Sigmoid Loss for Language Image Pre-Training cites this paper.

Sigmoid Loss for Language Image Pre-Training CLIP Itself is a Strong Fine-tuner: Achieving 85.7% and 88.0% Top-1 Accuracy with ViT-B and ViT-L on ImageNet

Reference 16

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T13:05:36.499897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 8d6a7660-a7ee-4b9b-ad80-c7a1328eed98 · inbound

Frugal Incremental Generative Modeling using Variational Autoencoders cites this paper.

Frugal Incremental Generative Modeling using Variational Autoencoders CLIP Itself is a Strong Fine-tuner: Achieving 85.7% and 88.0% Top-1 Accuracy with ViT-B and ViT-L on ImageNet

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T13:16:58.473198Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e68e7095-416f-43d7-85a6-c564a9ea7138 · inbound

AME: Aligned Manifold Entropy for Robust Vision-Language Distillation cites this paper.

AME: Aligned Manifold Entropy for Robust Vision-Language Distillation CLIP Itself is a Strong Fine-tuner: Achieving 85.7% and 88.0% Top-1 Accuracy with ViT-B and ViT-L on ImageNet

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-15T17:42:20.389779Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4f65e6a5-6f37-4eb1-8761-ff15c95fb0fe · inbound

Mitigating Data Exfiltration Attacks through Layer-Wise Learning Rate Decay Fine-Tuning cites this paper.

Mitigating Data Exfiltration Attacks through Layer-Wise Learning Rate Decay Fine-Tuning CLIP Itself is a Strong Fine-tuner: Achieving 85.7% and 88.0% Top-1 Accuracy with ViT-B and ViT-L on ImageNet

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-05T18:32:29.386394Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bd765582-2d9e-4238-ad34-c05c1b48301a · inbound

FoMo4Wheat: Toward reliable crop vision foundation models with globally curated data cites this paper.

FoMo4Wheat: Toward reliable crop vision foundation models with globally curated data CLIP Itself is a Strong Fine-tuner: Achieving 85.7% and 88.0% Top-1 Accuracy with ViT-B and ViT-L on ImageNet

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-04T22:55:16.917691Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a0e44aff-5e29-4954-86e8-02fd360bdcd9 · inbound

Prognostic Value of Lung Ultrasound Biomarkers for Readmission Risk in Congestive Heart Failure: A Pilot Data-Driven Analysis cites this paper.

Prognostic Value of Lung Ultrasound Biomarkers for Readmission Risk in Congestive Heart Failure: A Pilot Data-Driven Analysis CLIP Itself is a Strong Fine-tuner: Achieving 85.7% and 88.0% Top-1 Accuracy with ViT-B and ViT-L on ImageNet

Reference 208

Resolution: verified exact; arxiv_id, observed 2026-05-20T15:43:26.405929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.