Paper Citation Record · LEDGER

A Hard-to-Beat Baseline for Training-free CLIP-based Adaptation

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2402.04087.

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

pith.paper-citation-record.v1
2402.04087 v1

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 2026-08-14T06:32:32.682623+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T15:05:08.179560Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T02:16:26.839820Z

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 f1609dbb-8b44-46ea-9ecf-c3b963e2f473 · inbound

Text and Image Are Mutually Beneficial: Enhancing Training-Free Few-Shot Classification with CLIP cites this paper.

Text and Image Are Mutually Beneficial: Enhancing Training-Free Few-Shot Classification with CLIP A Hard-to-Beat Baseline for Training-free CLIP-based Adaptation

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-11T15:05:08.179560Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aef13928-03ee-4def-86c4-ff5545df32c7 · inbound

Efficient and Context-Aware Label Propagation for Zero-/Few-Shot Training-Free Adaptation of Vision-Language Model cites this paper.

Efficient and Context-Aware Label Propagation for Zero-/Few-Shot Training-Free Adaptation of Vision-Language Model A Hard-to-Beat Baseline for Training-free CLIP-based Adaptation

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-11T04:53:43.046703Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6c76d6bf-9fb1-4760-91c5-6a269cc9159c · inbound

ProKeR: A Kernel Perspective on Few-Shot Adaptation of Large Vision-Language Models cites this paper.

ProKeR: A Kernel Perspective on Few-Shot Adaptation of Large Vision-Language Models A Hard-to-Beat Baseline for Training-free CLIP-based Adaptation

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-10T18:40:27.320788Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ecc7f02b-5930-4e8b-af44-6cfa4a5d4e01 · inbound

Generalizing vision-language models to novel domains: A comprehensive survey cites this paper.

Generalizing vision-language models to novel domains: A comprehensive survey A Hard-to-Beat Baseline for Training-free CLIP-based Adaptation

Reference 214

Resolution: unresolved; no resolver link, observed 2026-08-06T23:20:58.714845Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cfcd71c0-ed8a-4217-bee6-20428b78d713 · inbound

Simulate, Refocus and Ensemble: An Attention-Refocusing Scheme for Domain Generalization cites this paper.

Simulate, Refocus and Ensemble: An Attention-Refocusing Scheme for Domain Generalization A Hard-to-Beat Baseline for Training-free CLIP-based Adaptation

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-06T16:42:43.023177Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3510163b-0c1e-4881-af56-20a4047bb684 · inbound

CLIP-SVD: Efficient and Interpretable Vision-Language Adaptation via Singular Values cites this paper.

CLIP-SVD: Efficient and Interpretable Vision-Language Adaptation via Singular Values A Hard-to-Beat Baseline for Training-free CLIP-based Adaptation

Reference 69

Resolution: verified exact; arxiv_id, observed 2026-05-18T18:56:45.991085Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation dab3935e-ae7d-4124-8251-7b60f71ecbc1 · inbound

Multi-View Synergistic Learning with Vision-Language Adaption for Low-Resource Biomedical Image Classification cites this paper.

Multi-View Synergistic Learning with Vision-Language Adaption for Low-Resource Biomedical Image Classification A Hard-to-Beat Baseline for Training-free CLIP-based Adaptation

Reference 51

Resolution: verified exact; arxiv_id, observed 2026-05-11T21:36:16.082311Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b9ac2992-7036-40a8-a624-97ed01f7bc2d · inbound

[CLS] is Not Enough: Multi-Label Recognition via Patch-Level Inference and Adaptive Aggregation cites this paper.

[CLS] is Not Enough: Multi-Label Recognition via Patch-Level Inference and Adaptive Aggregation A Hard-to-Beat Baseline for Training-free CLIP-based Adaptation

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-06-29T23:14:01.915845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 85a8a2e2-d4ad-47f9-9c7f-4efae3ede280 · inbound

Beyond False Stability: High-Noise Drift Gating for Test-Time Adversarial Defenses in Vision-Language Models cites this paper.

Beyond False Stability: High-Noise Drift Gating for Test-Time Adversarial Defenses in Vision-Language Models A Hard-to-Beat Baseline for Training-free CLIP-based Adaptation

Reference 49

Resolution: verified exact; arxiv_id, observed 2026-07-02T02:16:26.841341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d28ec70c-c9a2-466f-8a64-615529a3858f · inbound

Von Mises-Fisher Mixture Model with Dynamic Shrinkage for Realistic Test-Time Transduction cites this paper.

Von Mises-Fisher Mixture Model with Dynamic Shrinkage for Realistic Test-Time Transduction A Hard-to-Beat Baseline for Training-free CLIP-based Adaptation

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-01T22:13:46.807800Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.