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Paper Citation Record · LEDGER

Improving OOD Generalization of Pre-trained Encoders via Aligned Embedding-Space Ensembles

As of 13 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:2411.13073.

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

pith.paper-citation-record.v1
2411.13073 v1

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T16:56:23.686752Z

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Source: cited_works

Reference resolution

26 of 26 outbound references displayed

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External citation measurements

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Outbound references

Observation 7589aaf2-8241-49bf-b0d9-c6b88806fc96 · outbound

This paper cites Ensemble of Averages: Improving Model Selection and Boosting Performance in Domain Generalization.

Improving OOD Generalization of Pre-trained Encoders via Aligned Embedding-Space Ensembles Ensemble of Averages: Improving Model Selection and Boosting Performance in Domain Generalization

Reference 1

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Observation 62dea818-1773-4361-a18c-17ff1b20c0e7 · outbound

This paper cites Learning representations by maximizing mutual information across views.

Improving OOD Generalization of Pre-trained Encoders via Aligned Embedding-Space Ensembles Learning representations by maximizing mutual information across views

Reference 2

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Observation 607b4f95-cfc5-4fb7-9e6f-34280d3372a8 · outbound

This paper cites A simple framework for contrastive learning of visual representations.

Improving OOD Generalization of Pre-trained Encoders via Aligned Embedding-Space Ensembles A simple framework for contrastive learning of visual representations

Reference 3

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Observation dd078f43-99a3-4f22-afd4-65389dbfd3df · outbound

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

Improving OOD Generalization of Pre-trained Encoders via Aligned Embedding-Space Ensembles Imagenet: A large- scale hierarchical image database

Reference 4

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Observation c825d73b-b7a2-4384-b0e1-638a52e2e459 · outbound

This paper cites Momentum contrast for unsupervised visual representation learning.

Improving OOD Generalization of Pre-trained Encoders via Aligned Embedding-Space Ensembles Momentum contrast for unsupervised visual representation learning

Reference 5

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Observation 4ba03846-94e2-45ed-8494-42fbfc167478 · outbound

This paper cites Probabilistic contrastive learning recovers the correct aleatoric uncertainty of ambiguous inputs.

Improving OOD Generalization of Pre-trained Encoders via Aligned Embedding-Space Ensembles Probabilistic contrastive learning recovers the correct aleatoric uncertainty of ambiguous inputs

Reference 6

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Observation c406aa29-1db0-4c8d-bafd-38b892f53b8b · outbound

This paper cites Url: A representation learning benchmark for transferable uncertainty estimates.

Improving OOD Generalization of Pre-trained Encoders via Aligned Embedding-Space Ensembles Url: A representation learning benchmark for transferable uncertainty estimates

Reference 7

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Observation 451a0a30-4fca-432b-b280-96e5e3a4e1d7 · outbound

This paper cites 3d object representations for fine- grained categorization.

Improving OOD Generalization of Pre-trained Encoders via Aligned Embedding-Space Ensembles 3d object representations for fine- grained categorization

Reference 8

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Observation 058e9372-b629-4e95-95d5-b93be0d5af95 · outbound

This paper cites Simple and scalable predictive uncertainty estimation using deep ensembles.

Improving OOD Generalization of Pre-trained Encoders via Aligned Embedding-Space Ensembles Simple and scalable predictive uncertainty estimation using deep ensembles

Reference 9

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Observation 69185a2d-8357-45a8-a8a3-161637575f1e · outbound

This paper cites The mnist database of handwritten digits.

Improving OOD Generalization of Pre-trained Encoders via Aligned Embedding-Space Ensembles The mnist database of handwritten digits

Reference 10

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Observation e0bfd964-32d8-4a9d-9cdb-81c5cfe19b63 · outbound

This paper cites Decoupled Weight Decay Regularization.

Improving OOD Generalization of Pre-trained Encoders via Aligned Embedding-Space Ensembles Decoupled Weight Decay Regularization

Reference 11

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Observation 87866e27-2fe3-4c03-a5e4-3cd83f87756c · outbound

This paper cites A metric learning reality check.

Improving OOD Generalization of Pre-trained Encoders via Aligned Embedding-Space Ensembles A metric learning reality check

Reference 12

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Observation bdb8490a-8a05-42b8-999f-af42f6a0fffb · outbound

This paper cites Deep metric learning via lifted structured feature embedding.

Improving OOD Generalization of Pre-trained Encoders via Aligned Embedding-Space Ensembles Deep metric learning via lifted structured feature embedding

Reference 13

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Observation 534ac9d6-fee9-4742-8f5d-46e8d1b4512a · outbound

This paper cites Representation Learning with Contrastive Predictive Coding.

Improving OOD Generalization of Pre-trained Encoders via Aligned Embedding-Space Ensembles Representation Learning with Contrastive Predictive Coding

Reference 14

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Observation 51f08984-4522-4c68-91ba-979c176185d3 · outbound

This paper cites Can you trust your model’s uncertainty? evaluating predictive uncertainty under dataset shift.

Improving OOD Generalization of Pre-trained Encoders via Aligned Embedding-Space Ensembles Can you trust your model’s uncertainty? evaluating predictive uncertainty under dataset shift

Reference 15

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Observation 563894f2-f798-4fb0-a6dc-d672ea9dc850 · outbound

This paper cites Diverse weight averaging for out-of-distribution generalization.

Improving OOD Generalization of Pre-trained Encoders via Aligned Embedding-Space Ensembles Diverse weight averaging for out-of-distribution generalization

Reference 16

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This paper cites Model ratatouille: Recycling diverse models for out-of-distribution generalization.

Improving OOD Generalization of Pre-trained Encoders via Aligned Embedding-Space Ensembles Model ratatouille: Recycling diverse models for out-of-distribution generalization

Reference 17

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Observation ffe4bfd9-009b-414a-8da6-18395ce1e67a · outbound

This paper cites A dirichlet process mixture model for spherical data.

Improving OOD Generalization of Pre-trained Encoders via Aligned Embedding-Space Ensembles A dirichlet process mixture model for spherical data

Reference 18

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Observation c6bb2be3-1773-494e-9251-44d55d054dd0 · outbound

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Improving OOD Generalization of Pre-trained Encoders via Aligned Embedding-Space Ensembles Contrastive multiview coding

Reference 19

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Observation b2454c9a-560f-4943-9003-f37400bd0734 · outbound

This paper cites The caltech-ucsd birds-200-2011 dataset.

Improving OOD Generalization of Pre-trained Encoders via Aligned Embedding-Space Ensembles The caltech-ucsd birds-200-2011 dataset

Reference 20

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Observation d6e81e87-b9c6-4b99-bf66-dbdaee83058d · outbound

This paper cites Understanding contrastive representation learning through alignment and uniformity on the hypersphere.

Improving OOD Generalization of Pre-trained Encoders via Aligned Embedding-Space Ensembles Understanding contrastive representation learning through alignment and uniformity on the hypersphere

Reference 21

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Observation b7ab3ded-e540-4c7b-86a1-42394c52bb34 · outbound

This paper cites Robust fine-tuning of zero-shot models.

Improving OOD Generalization of Pre-trained Encoders via Aligned Embedding-Space Ensembles Robust fine-tuning of zero-shot models

Reference 22

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Observation 72ef5c56-ab74-41f3-b1fa-170344cb28f2 · outbound

This paper cites Probabilistic knowledge distillation of face ensembles.

Improving OOD Generalization of Pre-trained Encoders via Aligned Embedding-Space Ensembles Probabilistic knowledge distillation of face ensembles

Reference 23

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Observation fb908da9-ce60-4769-b534-a8380560db29 · outbound

This paper cites Large Batch Optimization for Deep Learning: Training BERT in 76 minutes.

Improving OOD Generalization of Pre-trained Encoders via Aligned Embedding-Space Ensembles Large Batch Optimization for Deep Learning: Training BERT in 76 minutes

Reference 24

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Observation 9c5d7136-917c-424a-a626-0dbf32c044c9 · outbound

This paper cites Contrastive learning inverts the data generating process.

Improving OOD Generalization of Pre-trained Encoders via Aligned Embedding-Space Ensembles Contrastive learning inverts the data generating process

Reference 25

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Observation 6888b86e-2579-4e2c-8fa2-211d2e4e5371 · outbound

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Improving OOD Generalization of Pre-trained Encoders via Aligned Embedding-Space Ensembles Unresolved cited work

Reference 2021

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Pith citing papers

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