Paper Citation Record · LEDGER

AdaptFormer: Adapting Vision Transformers for Scalable Visual Recognition

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2205.13535.

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

pith.paper-citation-record.v1
2205.13535 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:37:35.119093Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T13:33:27.625556Z

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 3dd14387-60ef-4b7d-9b96-28b3eceae55d · inbound

Robust Adaptation of Foundation Models with Black-Box Visual Prompting cites this paper.

Robust Adaptation of Foundation Models with Black-Box Visual Prompting AdaptFormer: Adapting Vision Transformers for Scalable Visual Recognition

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-23T23:23:36.269582Z

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 3848b9f3-02e9-473f-af66-9060ca573771 · inbound

Visual Instance-aware Prompt Tuning cites this paper.

Visual Instance-aware Prompt Tuning AdaptFormer: Adapting Vision Transformers for Scalable Visual Recognition

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T18:37:35.119093Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 050daff2-8c99-4e9b-9d6e-2a2acfc273dd · inbound

Swin-TUNA : A Novel PEFT Approach for Accurate Food Image Segmentation cites this paper.

Swin-TUNA : A Novel PEFT Approach for Accurate Food Image Segmentation AdaptFormer: Adapting Vision Transformers for Scalable Visual Recognition

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-06T14:56:24.396891Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c444ba7e-6db1-4e50-b7ac-7216fb0a8aca · inbound

ER-LoRA: Effective-Rank Guided Adaptation for Weather-Generalized Depth Estimation cites this paper.

ER-LoRA: Effective-Rank Guided Adaptation for Weather-Generalized Depth Estimation AdaptFormer: Adapting Vision Transformers for Scalable Visual Recognition

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-05T13:29:31.713189Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ecd68ea8-41dd-43e6-82d6-32c85e48d8a3 · inbound

Exploring the Rashomon Set for Concept-Based Models cites this paper.

Exploring the Rashomon Set for Concept-Based Models AdaptFormer: Adapting Vision Transformers for Scalable Visual Recognition

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-03T20:33:47.072558Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation edc7a7ac-746c-4de5-b608-a0d1656d187e · inbound

SIMPLER: Efficient Foundation Model Adaptation via Similarity-Guided Layer Pruning for Earth Observation cites this paper.

SIMPLER: Efficient Foundation Model Adaptation via Similarity-Guided Layer Pruning for Earth Observation AdaptFormer: Adapting Vision Transformers for Scalable Visual Recognition

Reference 5

Resolution: unresolved; no resolver link, observed 2026-07-13T21:52:18.253648Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9708aefa-d912-4dd8-8da2-921c184166bb · inbound

Is Prompt Selection Necessary for Task-Free Online Continual Learning? cites this paper.

Is Prompt Selection Necessary for Task-Free Online Continual Learning? AdaptFormer: Adapting Vision Transformers for Scalable Visual Recognition

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-10T22:40:51.661942Z

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 9b9e1a5a-d959-4a83-9133-3236a143e324 · inbound

Hystar: Hypernetwork-driven Style-adaptive Retrieval via Dynamic SVD Modulation cites this paper.

Hystar: Hypernetwork-driven Style-adaptive Retrieval via Dynamic SVD Modulation AdaptFormer: Adapting Vision Transformers for Scalable Visual Recognition

Reference 2

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T07:06:35.171249Z

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 f06ea1fe-55ce-4e5a-ae72-2ee46730f2d2 · inbound

Bridging the Generalization Gap in Adverse Weather Segmentation: A Training Recipe Perspective cites this paper.

Bridging the Generalization Gap in Adverse Weather Segmentation: A Training Recipe Perspective AdaptFormer: Adapting Vision Transformers for Scalable Visual Recognition

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-06-29T13:33:27.627831Z

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 aeb479e3-2a8c-4aa7-9c3a-e78f77e34d3c · inbound

SLAD : Shared LoRA Adapters for Task Specific Distillation cites this paper.

SLAD : Shared LoRA Adapters for Task Specific Distillation AdaptFormer: Adapting Vision Transformers for Scalable Visual Recognition

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-06-29T08:33:14.915990Z

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.