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Paper Citation Record · LEDGER

Covariance Last-Layer Ensembles: Function-Space Diversity for Efficient Uncertainty Quantification

As of 16 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:2607.23856.

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

pith.paper-citation-record.v1
2607.23856 v2

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-30T10:24:55.105936Z

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+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

34 of 34 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved33
  • parse uncertain0
  • malformed identifier1
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation baff65bc-4423-4e24-a954-fc0cc0febe2c · outbound

This paper cites Bardes, J.

Covariance Last-Layer Ensembles: Function-Space Diversity for Efficient Uncertainty Quantification Bardes, J

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 10bc7116-557b-475f-a6cf-d3b55e921e8e · outbound

This paper cites Croce, M.

Covariance Last-Layer Ensembles: Function-Space Diversity for Efficient Uncertainty Quantification Croce, M

Reference 2

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Observation 88d34bbf-49f7-4442-85fd-e435892e296d · outbound

This paper cites an unresolved cited work.

Covariance Last-Layer Ensembles: Function-Space Diversity for Efficient Uncertainty Quantification Unresolved cited work

Reference 3

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Observation f0b3441b-e72c-4e53-9c25-d9c72f3f4737 · outbound

This paper cites an unresolved cited work.

Covariance Last-Layer Ensembles: Function-Space Diversity for Efficient Uncertainty Quantification Unresolved cited work

Reference 4

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Observation 216dcbe7-6958-48ec-924c-a1952f905b29 · outbound

This paper cites González Ballester.

Covariance Last-Layer Ensembles: Function-Space Diversity for Efficient Uncertainty Quantification González Ballester

Reference 5

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T10:24:52.230283Z digest=sha256:859481199dfdefb39675fdaf794172684a8850fa78754021128bdcae22544c79

Observation bc92d9af-3f00-4431-885b-00da55c58760 · outbound

This paper cites Martin Gillis, Isaac Xu, and Thomas Trappenberg.

Covariance Last-Layer Ensembles: Function-Space Diversity for Efficient Uncertainty Quantification Martin Gillis, Isaac Xu, and Thomas Trappenberg

Reference 6

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Observation 42327933-f440-44ac-b78d-d559616458e8 · outbound

This paper cites an unresolved cited work.

Covariance Last-Layer Ensembles: Function-Space Diversity for Efficient Uncertainty Quantification Unresolved cited work

Reference 7

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Observation 1814cc6d-7cd0-4c09-93cb-4e5a1db304f2 · outbound

This paper cites Dai, and Dustin Tran.

Covariance Last-Layer Ensembles: Function-Space Diversity for Efficient Uncertainty Quantification Dai, and Dustin Tran

Reference 8

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Observation e6c2b433-79dc-4ab0-af8d-ca57576d5e54 · outbound

This paper cites an unresolved cited work.

Covariance Last-Layer Ensembles: Function-Space Diversity for Efficient Uncertainty Quantification Unresolved cited work

Reference 9

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Observation 3920f758-1c06-4ca3-9d3a-1a6766b2a3ae · outbound

This paper cites Bayesian Active Learning for Classification and Preference Learning.

Covariance Last-Layer Ensembles: Function-Space Diversity for Efficient Uncertainty Quantification Bayesian Active Learning for Classification and Preference Learning

Reference 10

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Observation dcd61f80-1fb4-4c9a-b1a5-4718843379dc · outbound

This paper cites (Implicit) Ensembles of Ensembles: Epistemic Uncertainty Collapse in Large Models.

Covariance Last-Layer Ensembles: Function-Space Diversity for Efficient Uncertainty Quantification (Implicit) Ensembles of Ensembles: Epistemic Uncertainty Collapse in Large Models

Reference 11

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Observation 608e69ca-b35e-4132-a2c5-48b782df9908 · outbound

This paper cites Kornblith, M.

Covariance Last-Layer Ensembles: Function-Space Diversity for Efficient Uncertainty Quantification Kornblith, M

Reference 12

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Observation 2be632d4-74b2-44d6-a660-84262d7a5ae0 · outbound

This paper cites Being Bayesian, Even Just a Bit, Fixes Overconfidence in ReLU Networks.

Covariance Last-Layer Ensembles: Function-Space Diversity for Efficient Uncertainty Quantification Being Bayesian, Even Just a Bit, Fixes Overconfidence in ReLU Networks

Reference 13

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Observation b0e067ee-550b-423e-857a-12724377aa6b · outbound

This paper cites an unresolved cited work.

Covariance Last-Layer Ensembles: Function-Space Diversity for Efficient Uncertainty Quantification Unresolved cited work

Reference 14

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Unavailable: canonical work link unavailable.

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Observation 7631c0a4-547b-4019-9ea6-38e4f5fc287d · outbound

This paper cites an unresolved cited work.

Covariance Last-Layer Ensembles: Function-Space Diversity for Efficient Uncertainty Quantification Unresolved cited work

Reference 15

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Observation 4d8fe2f9-3bf2-4158-adf5-8671fc7a3e92 · outbound

This paper cites Why M Heads are Better than One: Training a Diverse Ensemble of Deep Networks.

Covariance Last-Layer Ensembles: Function-Space Diversity for Efficient Uncertainty Quantification Why M Heads are Better than One: Training a Diverse Ensemble of Deep Networks

Reference 16

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Observation f8cdbded-d30e-481b-acd4-de1f59c31850 · outbound

This paper cites an unresolved cited work.

Covariance Last-Layer Ensembles: Function-Space Diversity for Efficient Uncertainty Quantification Unresolved cited work

Reference 17

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Observation a30b65b4-6a4a-445f-8579-9e1f3aac0f8c · outbound

This paper cites an unresolved cited work.

Covariance Last-Layer Ensembles: Function-Space Diversity for Efficient Uncertainty Quantification Unresolved cited work

Reference 18

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Observation 92dd4386-30f4-4910-b5af-e977033db3d4 · outbound

This paper cites Owens, and Yixuan Li.

Covariance Last-Layer Ensembles: Function-Space Diversity for Efficient Uncertainty Quantification Owens, and Yixuan Li

Reference 19

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Observation e28b2117-efa4-4558-88a3-8537e4ecfe76 · outbound

This paper cites an unresolved cited work.

Covariance Last-Layer Ensembles: Function-Space Diversity for Efficient Uncertainty Quantification Unresolved cited work

Reference 20

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Observation eddc6c59-1fcc-4f72-99fb-266ed817d7ca · outbound

This paper cites Nalisnick, A.

Covariance Last-Layer Ensembles: Function-Space Diversity for Efficient Uncertainty Quantification Nalisnick, A

Reference 21

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Observation 96aca5fa-f369-4a45-a5c9-3007dcdd96f8 · outbound

This paper cites an unresolved cited work.

Covariance Last-Layer Ensembles: Function-Space Diversity for Efficient Uncertainty Quantification Unresolved cited work

Reference 22

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Observation fdc70c52-c7f1-41fc-ae66-5dc3e1f91c0e · outbound

This paper cites an unresolved cited work.

Covariance Last-Layer Ensembles: Function-Space Diversity for Efficient Uncertainty Quantification Unresolved cited work

Reference 23

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Observation de708bdd-62d6-4e8f-8c32-4d963e4998ed · outbound

This paper cites an unresolved cited work.

Covariance Last-Layer Ensembles: Function-Space Diversity for Efficient Uncertainty Quantification Unresolved cited work

Reference 24

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Observation 5ec47094-5b73-4e95-810c-2237ced30702 · outbound

This paper cites an unresolved cited work.

Covariance Last-Layer Ensembles: Function-Space Diversity for Efficient Uncertainty Quantification Unresolved cited work

Reference 25

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Observation 0dd4bbf7-0c2f-4341-a0e7-e875dd746699 · outbound

This paper cites an unresolved cited work.

Covariance Last-Layer Ensembles: Function-Space Diversity for Efficient Uncertainty Quantification Unresolved cited work

Reference 26

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Observation ee31bdc2-47c2-4a9e-a6f7-cacd6f79025e · outbound

This paper cites an unresolved cited work.

Covariance Last-Layer Ensembles: Function-Space Diversity for Efficient Uncertainty Quantification Unresolved cited work

Reference 27

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Observation 1a83868d-8f66-49b1-8bb8-cc777c1a0ce7 · outbound

This paper cites an unresolved cited work.

Covariance Last-Layer Ensembles: Function-Space Diversity for Efficient Uncertainty Quantification Unresolved cited work

Reference 28

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Observation 372eccb1-6f55-47f6-b2e0-d261e5b2c495 · outbound

This paper cites an unresolved cited work.

Covariance Last-Layer Ensembles: Function-Space Diversity for Efficient Uncertainty Quantification Unresolved cited work

Reference 29

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Observation 09f0830c-df72-4e95-aff6-8815c6ac100b · outbound

This paper cites an unresolved cited work.

Covariance Last-Layer Ensembles: Function-Space Diversity for Efficient Uncertainty Quantification Unresolved cited work

Reference 30

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Observation 3df9a3f5-54f8-4e92-ac81-71a44f11265b · outbound

This paper cites an unresolved cited work.

Covariance Last-Layer Ensembles: Function-Space Diversity for Efficient Uncertainty Quantification Unresolved cited work

Reference 31

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Observation 5c1087e9-aac4-48fd-bc50-3e4c5a487fff · outbound

This paper cites recovery.

Covariance Last-Layer Ensembles: Function-Space Diversity for Efficient Uncertainty Quantification recovery

Reference 32

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Observation 5d7081e7-f4bd-4371-9e37-024e41df82d9 · outbound

This paper cites InNeurIPS workshop.

Covariance Last-Layer Ensembles: Function-Space Diversity for Efficient Uncertainty Quantification InNeurIPS workshop

Reference 2021

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Observation f8cb7dc3-2f9d-4fc2-9a2f-bc30055d3646 · outbound

This paper cites doi:10.5555/3648699.3648741.

Covariance Last-Layer Ensembles: Function-Space Diversity for Efficient Uncertainty Quantification doi:10.5555/3648699.3648741

Reference 2022

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Pith citing papers

No inbound Pith citation observations are available.