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Paper Citation Record · LEDGER

Enhancing Few-Shot Out-of-Distribution Detection with Gradient Aligned Context Optimization

As of 13 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:2411.15736.

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

pith.paper-citation-record.v1
2411.15736 v1

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T14:03:32.144556Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+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

32 of 32 outbound references displayed

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  • verified fuzzy14
  • unresolved18
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 68161752-d774-4985-b459-7908c6d417b6 · outbound

This paper cites Clipood: Generalizing clip to out-of-distributions,.

Enhancing Few-Shot Out-of-Distribution Detection with Gradient Aligned Context Optimization Clipood: Generalizing clip to out-of-distributions,

Reference 1

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Source-reported events for the cited work

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Observation 92c22080-4c77-4dfb-88a4-f26c440f5598 · outbound

This paper cites A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks.

Enhancing Few-Shot Out-of-Distribution Detection with Gradient Aligned Context Optimization A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks

Reference 2

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Unavailable: canonical work link unavailable.

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Observation 09197296-b061-4259-b8dd-cef361fc1986 · outbound

This paper cites Learning transferable visual models from natural language supervision,.

Enhancing Few-Shot Out-of-Distribution Detection with Gradient Aligned Context Optimization Learning transferable visual models from natural language supervision,

Reference 3

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Observation a7c47a80-b304-41b3-ae16-912daa493a6a · outbound

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

Enhancing Few-Shot Out-of-Distribution Detection with Gradient Aligned Context Optimization Delving into out-of- distribution detection with vision-language representations,

Reference 4

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Unavailable: canonical work link unavailable.

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Observation 78f0e9cc-cb2e-479b-9b26-77c6ca48eba7 · outbound

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

Enhancing Few-Shot Out-of-Distribution Detection with Gradient Aligned Context Optimization Enhancing the reliability of out-of- distribution image detection in neural networks,

Reference 5

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Source-reported events for the cited work

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Observation 5e012c01-3672-4765-8af1-bb73f2bbe191 · outbound

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

Enhancing Few-Shot Out-of-Distribution Detection with Gradient Aligned Context Optimization Vim: Out-of-distribution with virtual-logit matching,

Reference 6

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Source-reported events for the cited work

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Observation 8c5ee34f-d2be-42c7-91b4-e377b6171d69 · outbound

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

Enhancing Few-Shot Out-of-Distribution Detection with Gradient Aligned Context Optimization Out-of-distribution detection with deep nearest neighbors,

Reference 7

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 44e40fc7-9189-4814-8054-f56c9351caf8 · outbound

This paper cites Non-parametric outlier synthesis,.

Enhancing Few-Shot Out-of-Distribution Detection with Gradient Aligned Context Optimization Non-parametric outlier synthesis,

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation b57c5ab4-7bf4-4a4b-916c-f5aa673ed507 · outbound

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

Enhancing Few-Shot Out-of-Distribution Detection with Gradient Aligned Context Optimization Locoop: Few-shot out- of-distribution detection via prompt learning,

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 0932f8de-7add-4936-8398-e7eff4981647 · outbound

This paper cites Id-like prompt learning for few-shot out-of-distribution detection,.

Enhancing Few-Shot Out-of-Distribution Detection with Gradient Aligned Context Optimization Id-like prompt learning for few-shot out-of-distribution detection,

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 7d17bb96-2d7d-4042-9c74-68911f6d664d · outbound

This paper cites Invariant learning via probability of sufficient and necessary causes,.

Enhancing Few-Shot Out-of-Distribution Detection with Gradient Aligned Context Optimization Invariant learning via probability of sufficient and necessary causes,

Reference 11

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Source-reported events for the cited work

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Observation fb947c95-3cb0-4c7b-ae9f-25e7e3f56e5a · outbound

This paper cites Fd-align: feature discrimination alignment for fine-tuning pre-trained models in few-shot learning,.

Enhancing Few-Shot Out-of-Distribution Detection with Gradient Aligned Context Optimization Fd-align: feature discrimination alignment for fine-tuning pre-trained models in few-shot learning,

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation c06244e4-1f7e-43f1-899f-e0fea75a19a6 · outbound

This paper cites Learn to rectify the bias of clip for unsupervised semantic segmentation,.

Enhancing Few-Shot Out-of-Distribution Detection with Gradient Aligned Context Optimization Learn to rectify the bias of clip for unsupervised semantic segmentation,

Reference 13

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Source-reported events for the cited work

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Observation f97ff2f2-e49a-4077-b53c-7d950cff9b08 · outbound

This paper cites VisualBERT: A Simple and Performant Baseline for Vision and Language.

Enhancing Few-Shot Out-of-Distribution Detection with Gradient Aligned Context Optimization VisualBERT: A Simple and Performant Baseline for Vision and Language

Reference 14

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Observation 433f1e1f-5371-4751-b44e-5ad4e40ac08b · outbound

This paper cites Vilt: Vision-and-language transformer without convolution or region supervision,.

Enhancing Few-Shot Out-of-Distribution Detection with Gradient Aligned Context Optimization Vilt: Vision-and-language transformer without convolution or region supervision,

Reference 15

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Observation 11deae5f-d29c-42d1-a1e0-4395feafa641 · outbound

This paper cites Filip: Fine-grained interactive language-image pre-training,.

Enhancing Few-Shot Out-of-Distribution Detection with Gradient Aligned Context Optimization Filip: Fine-grained interactive language-image pre-training,

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 56a1ab1e-a8db-459e-8561-b13983976c70 · outbound

This paper cites Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation,.

Enhancing Few-Shot Out-of-Distribution Detection with Gradient Aligned Context Optimization Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation,

Reference 17

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Observation 2c3a5230-723c-4d46-b55e-9c8a0912b30d · outbound

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

Enhancing Few-Shot Out-of-Distribution Detection with Gradient Aligned Context Optimization Learning to prompt for vision- language models,

Reference 18

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Observation 577d1cac-80a5-49bf-8083-4060c5b519ca · outbound

This paper cites Visual prompt tuning,.

Enhancing Few-Shot Out-of-Distribution Detection with Gradient Aligned Context Optimization Visual prompt tuning,

Reference 19

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Observation f5013914-ad39-4e41-8b35-27e8d651b7e8 · outbound

This paper cites Maple: Multi-modal prompt learning,.

Enhancing Few-Shot Out-of-Distribution Detection with Gradient Aligned Context Optimization Maple: Multi-modal prompt learning,

Reference 20

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Unavailable: canonical work link unavailable.

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Observation 67889131-65ce-4577-b439-420af660df8f · outbound

This paper cites What does a platypus look like? generating customized prompts for zero-shot image classification,.

Enhancing Few-Shot Out-of-Distribution Detection with Gradient Aligned Context Optimization What does a platypus look like? generating customized prompts for zero-shot image classification,

Reference 21

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Observation 2568c39d-f085-4a05-92e0-26858d723787 · outbound

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

Enhancing Few-Shot Out-of-Distribution Detection with Gradient Aligned Context Optimization Exploring the limits of out- of-distribution detection,

Reference 22

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Observation 72530f0d-6053-46ed-81f1-e7c6025a3319 · outbound

This paper cites V os: Learning what you don’t know by virtual outlier synthesis,.

Enhancing Few-Shot Out-of-Distribution Detection with Gradient Aligned Context Optimization V os: Learning what you don’t know by virtual outlier synthesis,

Reference 23

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Source-reported events for the cited work

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Observation bca922a0-0649-4996-b357-da6edbf2ea4d · outbound

This paper cites Amu-tuning: Effective logit bias for clip-based few-shot learning,.

Enhancing Few-Shot Out-of-Distribution Detection with Gradient Aligned Context Optimization Amu-tuning: Effective logit bias for clip-based few-shot learning,

Reference 24

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Observation e9c78ab0-1e5d-428b-9eac-110ab5178883 · outbound

This paper cites Extract free dense labels from clip,.

Enhancing Few-Shot Out-of-Distribution Detection with Gradient Aligned Context Optimization Extract free dense labels from clip,

Reference 25

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Unavailable: canonical work link unavailable.

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Observation dd306e65-ce7f-4fa9-8c90-2b07cc9b2948 · outbound

This paper cites Universal domain adaptation through self supervision,.

Enhancing Few-Shot Out-of-Distribution Detection with Gradient Aligned Context Optimization Universal domain adaptation through self supervision,

Reference 26

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Observation 1d04b792-e842-4d9b-ba0b-1916b6a44f57 · outbound

This paper cites Prompt-aligned gradient for prompt tuning,.

Enhancing Few-Shot Out-of-Distribution Detection with Gradient Aligned Context Optimization Prompt-aligned gradient for prompt tuning,

Reference 27

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Unavailable: canonical work link unavailable.

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Observation 82f82e20-f87c-4f4f-b115-f825025e14d7 · outbound

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

Enhancing Few-Shot Out-of-Distribution Detection with Gradient Aligned Context Optimization Imagenet: A large-scale hierarchical image database,

Reference 28

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Unavailable: canonical work link unavailable.

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Observation ea430d75-e9ef-44fb-978d-c60a08644177 · outbound

This paper cites The inaturalist species classifi- cation and detection dataset,.

Enhancing Few-Shot Out-of-Distribution Detection with Gradient Aligned Context Optimization The inaturalist species classifi- cation and detection dataset,

Reference 29

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Observation 7a975984-7177-4e07-8667-975c5fe92948 · outbound

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

Enhancing Few-Shot Out-of-Distribution Detection with Gradient Aligned Context Optimization Sun database: Large-scale scene recognition from abbey to zoo,

Reference 30

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Observation ff4bd18a-b841-4cd2-8f5e-c083a46d8f79 · outbound

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

Enhancing Few-Shot Out-of-Distribution Detection with Gradient Aligned Context Optimization Places: A 10 million image database for scene recognition,

Reference 31

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation a177b9a6-316e-4a62-879e-2f93cd970716 · outbound

This paper cites Describing textures in the wild,.

Enhancing Few-Shot Out-of-Distribution Detection with Gradient Aligned Context Optimization Describing textures in the wild,

Reference 32

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Unavailable: canonical work link unavailable.

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Pith citing papers

No inbound Pith citation observations are available.