Paper Citation Record · LEDGER

Convolutional Bypasses Are Better Vision Transformer Adapters

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2207.07039.

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

pith.paper-citation-record.v1
2207.07039 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:00:56.874725Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T08:59:42.703372Z

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 c4be781a-2181-4426-81b2-75cf77a3ef2a · inbound

Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey cites this paper.

Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey Convolutional Bypasses Are Better Vision Transformer Adapters

Reference 195

Resolution: verified exact; arxiv_id, observed 2026-05-13T11:32:36.955521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 5e18d49c-8957-4489-afbf-810c37012e44 · inbound

Weight Spectra Induced Efficient Model Adaptation cites this paper.

Weight Spectra Induced Efficient Model Adaptation Convolutional Bypasses Are Better Vision Transformer Adapters

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T13:00:56.874725Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 967c7d6c-dad3-4300-b192-e839dd0a1f87 · inbound

ViT-Split: Unleashing the Power of Vision Foundation Models via Efficient Splitting Heads cites this paper.

ViT-Split: Unleashing the Power of Vision Foundation Models via Efficient Splitting Heads Convolutional Bypasses Are Better Vision Transformer Adapters

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-07T11:09:29.789945Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2d2fd441-00c0-457b-a91c-30b862c6541f · inbound

AI-driven Remote Facial Skin Hydration and TEWL Assessment from Selfie Images: A Systematic Solution cites this paper.

AI-driven Remote Facial Skin Hydration and TEWL Assessment from Selfie Images: A Systematic Solution Convolutional Bypasses Are Better Vision Transformer Adapters

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-04T23:55:38.882836Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9d109a66-0c78-4021-9de9-f58ddfda86b0 · inbound

BGG: Bridging the Geometric Gap between Cross-View images by Vision Foundation Model Adaptation for Geo-Localization cites this paper.

BGG: Bridging the Geometric Gap between Cross-View images by Vision Foundation Model Adaptation for Geo-Localization Convolutional Bypasses Are Better Vision Transformer Adapters

Reference 49

Resolution: verified exact; arxiv_id, observed 2026-05-12T05:46:29.937349Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 9c41c4c4-1f1d-4e85-997e-8f51433a8230 · inbound

Structured Hyperedge Adaptation for Parameter-Efficient Fine-Tuning of Vision Transformers cites this paper.

Structured Hyperedge Adaptation for Parameter-Efficient Fine-Tuning of Vision Transformers Convolutional Bypasses Are Better Vision Transformer Adapters

Reference 22

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T08:59:42.704885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 190fca79-4ad6-426b-9dc7-5cc1bac6f579 · 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 Convolutional Bypasses Are Better Vision Transformer Adapters

Reference 18

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T15:27:04.719655Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.