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Paper Citation Record · LEDGER

GP-Adapter: Gaussian Process CLIP-Adapter for Few-Shot Out-of-Distribution Detection

As of 23 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 0 inbound Pith citation observations for arXiv:2606.07102.

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

pith.paper-citation-record.v1
2606.07102 v1

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-27T22:22:49.388523Z

measured 29 of 29 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

29 of 29 outbound references displayed

  • verified exact2
  • verified fuzzy0
  • unresolved27
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 434d773f-ebdc-4b18-acc5-91f6ae75c5a1 · outbound

This paper cites Out-of- distribution detection: A task-oriented survey of recent advances,.

GP-Adapter: Gaussian Process CLIP-Adapter for Few-Shot Out-of-Distribution Detection Out-of- distribution detection: A task-oriented survey of recent advances,

Reference 1

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Observation 54bb9c4f-539c-43af-8059-c4fea3da80c5 · outbound

This paper cites Dropout as a bayesian approximation: Representing model uncertainty in deep learning,.

GP-Adapter: Gaussian Process CLIP-Adapter for Few-Shot Out-of-Distribution Detection Dropout as a bayesian approximation: Representing model uncertainty in deep learning,

Reference 2

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Observation 94122c7f-2a40-4d7e-b472-197079266140 · outbound

This paper cites Learning transferable visual models from natural language supervi- sion,.

GP-Adapter: Gaussian Process CLIP-Adapter for Few-Shot Out-of-Distribution Detection Learning transferable visual models from natural language supervi- sion,

Reference 3

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Observation 5069d0e2-9447-4091-a386-87ddf9fc792c · outbound

This paper cites Learning to prompt for vision- language models,.

GP-Adapter: Gaussian Process CLIP-Adapter for Few-Shot Out-of-Distribution Detection Learning to prompt for vision- language models,

Reference 4

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Observation 422266e1-c564-4a7a-9a89-138e4a41d7d1 · outbound

This paper cites Locoop: Few-shot out- of-distribution detection via prompt learning,.

GP-Adapter: Gaussian Process CLIP-Adapter for Few-Shot Out-of-Distribution Detection Locoop: Few-shot out- of-distribution detection via prompt learning,

Reference 5

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Observation d6e89b16-05ac-4f0e-aca1-ead77ee79bcd · outbound

This paper cites Clipn for zero-shot ood detection: Teaching clip to say no,.

GP-Adapter: Gaussian Process CLIP-Adapter for Few-Shot Out-of-Distribution Detection Clipn for zero-shot ood detection: Teaching clip to say no,

Reference 6

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Observation 51e04e83-deed-4a8e-923e-633555dc2b9a · outbound

This paper cites an unresolved cited work.

GP-Adapter: Gaussian Process CLIP-Adapter for Few-Shot Out-of-Distribution Detection Unresolved cited work

Reference 7

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Observation 18ca1463-2356-4990-a1e2-07c86485ce7f · outbound

This paper cites Uncertainty-Aware Out-of-Distribution Detection with Gaussian Processes.

GP-Adapter: Gaussian Process CLIP-Adapter for Few-Shot Out-of-Distribution Detection Uncertainty-Aware Out-of-Distribution Detection with Gaussian Processes

Reference 8

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arxiv_id, observed 2026-07-02T16:47:09.939667Z

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.

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Observation 60bf9644-a347-4f5e-9722-a0fdeb05b516 · outbound

This paper cites Ima- genet: A large-scale hierarchical image database,.

GP-Adapter: Gaussian Process CLIP-Adapter for Few-Shot Out-of-Distribution Detection Ima- genet: A large-scale hierarchical image database,

Reference 9

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Observation bd240a55-6df7-4a01-b5e1-1d333ca53881 · outbound

This paper cites A baseline for detecting misclassified and out-of-distribution examples in neural networks,.

GP-Adapter: Gaussian Process CLIP-Adapter for Few-Shot Out-of-Distribution Detection A baseline for detecting misclassified and out-of-distribution examples in neural networks,

Reference 10

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Observation b6687c64-2d89-42f6-add0-fb475bc9a33b · outbound

This paper cites Energy-based out-of- distribution detection,.

GP-Adapter: Gaussian Process CLIP-Adapter for Few-Shot Out-of-Distribution Detection Energy-based out-of- distribution detection,

Reference 11

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Observation 6ca66029-15ef-4c45-90f8-06569e062eee · outbound

This paper cites Vim: Out-of-distribution with virtual-logit matching,.

GP-Adapter: Gaussian Process CLIP-Adapter for Few-Shot Out-of-Distribution Detection Vim: Out-of-distribution with virtual-logit matching,

Reference 12

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Observation e11dadbc-a17a-4d36-979e-bb58b7d72921 · outbound

This paper cites Out-of-distribution detection with deep nearest neighbors,.

GP-Adapter: Gaussian Process CLIP-Adapter for Few-Shot Out-of-Distribution Detection Out-of-distribution detection with deep nearest neighbors,

Reference 13

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Observation dd8a3c41-563c-4556-b416-bf034715c955 · outbound

This paper cites Extending binary neural networks to bayesian neural networks with probabilistic interpretation of binary weights,.

GP-Adapter: Gaussian Process CLIP-Adapter for Few-Shot Out-of-Distribution Detection Extending binary neural networks to bayesian neural networks with probabilistic interpretation of binary weights,

Reference 14

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Observation 564e7696-881a-427f-a6e2-2072fc9972c8 · outbound

This paper cites Out-of- distribution data detection using bayesian convolutional neural network with variational inference,.

GP-Adapter: Gaussian Process CLIP-Adapter for Few-Shot Out-of-Distribution Detection Out-of- distribution data detection using bayesian convolutional neural network with variational inference,

Reference 15

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Observation db0fd1c6-1588-4d96-ab3c-f714d684700d · outbound

This paper cites Delving into out-of-distribution detection with vision-language representations,.

GP-Adapter: Gaussian Process CLIP-Adapter for Few-Shot Out-of-Distribution Detection Delving into out-of-distribution detection with vision-language representations,

Reference 16

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Observation 959b4e85-55d5-4008-88a2-80c4386cdee7 · outbound

This paper cites Gl-mcm: Global and local maximum concept matching for zero-shot out-of-distribution detection,.

GP-Adapter: Gaussian Process CLIP-Adapter for Few-Shot Out-of-Distribution Detection Gl-mcm: Global and local maximum concept matching for zero-shot out-of-distribution detection,

Reference 17

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Observation 91ff66a6-a1dc-4132-ac5d-a5312eba884a · outbound

This paper cites Tip-adapter: Training-free adaption of clip for few-shot classification,.

GP-Adapter: Gaussian Process CLIP-Adapter for Few-Shot Out-of-Distribution Detection Tip-adapter: Training-free adaption of clip for few-shot classification,

Reference 18

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Observation b40b4ff5-1278-459e-98aa-12d34f16bfc5 · outbound

This paper cites Dual-Adapter: Training-free Dual Adaptation for Few-shot Out-of-Distribution Detection.

GP-Adapter: Gaussian Process CLIP-Adapter for Few-Shot Out-of-Distribution Detection Dual-Adapter: Training-free Dual Adaptation for Few-shot Out-of-Distribution Detection

Reference 19

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Observation 567bab5f-b2dd-4474-844b-4afb12fe0bc2 · outbound

This paper cites Non-parametric outlier synthesis,.

GP-Adapter: Gaussian Process CLIP-Adapter for Few-Shot Out-of-Distribution Detection Non-parametric outlier synthesis,

Reference 20

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Observation 013ec0f1-cc0e-4339-a9e9-2f62421edfde · outbound

This paper cites Setar: Out-of-distribution detection with selective low-rank approximation,.

GP-Adapter: Gaussian Process CLIP-Adapter for Few-Shot Out-of-Distribution Detection Setar: Out-of-distribution detection with selective low-rank approximation,

Reference 21

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Observation 74bfbc6b-3a08-401a-9aa0-6a61efe1a685 · outbound

This paper cites Exploring the limits of out- of-distribution detection,.

GP-Adapter: Gaussian Process CLIP-Adapter for Few-Shot Out-of-Distribution Detection Exploring the limits of out- of-distribution detection,

Reference 22

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Observation 792df806-bd51-4bf3-a8c3-7a1643372156 · outbound

This paper cites Enhancing the reliability of out-of- distribution image detection in neural networks,.

GP-Adapter: Gaussian Process CLIP-Adapter for Few-Shot Out-of-Distribution Detection Enhancing the reliability of out-of- distribution image detection in neural networks,

Reference 23

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Observation 0a0e1a3e-adc9-476e-b603-9715ee5edb7f · outbound

This paper cites The inaturalist species classification and detection dataset,.

GP-Adapter: Gaussian Process CLIP-Adapter for Few-Shot Out-of-Distribution Detection The inaturalist species classification and detection dataset,

Reference 24

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Observation fc970cc3-e9b6-499d-9332-ee196d7eeb49 · outbound

This paper cites Sun database: Large-scale scene recognition from abbey to zoo,.

GP-Adapter: Gaussian Process CLIP-Adapter for Few-Shot Out-of-Distribution Detection Sun database: Large-scale scene recognition from abbey to zoo,

Reference 25

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Observation c1ca8484-032c-4334-8ee2-260f5995f81d · outbound

This paper cites Places: A 10 million image database for scene recognition,.

GP-Adapter: Gaussian Process CLIP-Adapter for Few-Shot Out-of-Distribution Detection Places: A 10 million image database for scene recognition,

Reference 26

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Observation ff9307b1-aa5d-49fa-8bc3-fc70eb3697a1 · outbound

This paper cites Describing textures in the wild,.

GP-Adapter: Gaussian Process CLIP-Adapter for Few-Shot Out-of-Distribution Detection Describing textures in the wild,

Reference 27

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Observation 744d6ccb-42ed-4a28-88c8-9763e4f62e5f · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale,.

GP-Adapter: Gaussian Process CLIP-Adapter for Few-Shot Out-of-Distribution Detection An image is worth 16x16 words: Transformers for image recognition at scale,

Reference 28

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Observation b1b5f8bd-742d-4c54-8f17-e9a73833d42d · outbound

This paper cites Deep residual learning for image recognition,.

GP-Adapter: Gaussian Process CLIP-Adapter for Few-Shot Out-of-Distribution Detection Deep residual learning for image recognition,

Reference 29

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Pith citing papers

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