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Paper Citation Record · LEDGER

Diverse Prototypical Ensembles Improve Robustness to Subpopulation Shift

As of 10 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 1 inbound Pith citation observation for arXiv:2505.23027.

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

pith.paper-citation-record.v1
2505.23027 v1

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:59:10.384425Z

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-13T05:24:57.033007Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

15 of 15 outbound references displayed

  • verified exact1
  • verified fuzzy7
  • unresolved7
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6e6c0cdc-72b7-46bb-9c39-cd619c493f24 · outbound

This paper cites We observe that inference time increases only slightly as the number of prototypes increases, from 0.0031s with 15 prototypes to 0.0045s with 100 prototypes.

Diverse Prototypical Ensembles Improve Robustness to Subpopulation Shift We observe that inference time increases only slightly as the number of prototypes increases, from 0.0031s with 15 prototypes to 0.0045s with 100 prototypes

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:59:11.158953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 62f62517-646a-42d8-8c4b-04dbf953a21a · outbound

This paper cites Deep Ensembles: A Loss Landscape Perspective.

Diverse Prototypical Ensembles Improve Robustness to Subpopulation Shift Deep Ensembles: A Loss Landscape Perspective

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-07T12:59:09.018060Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:59:09.018060Z digest=sha256:661a5c10a0d7f88c8c1b25fe0eb34e48601910f57665e190428cc8817a1eb219

Observation ac598ee1-6a15-4d9f-a8ad-9c084c2f685c · outbound

This paper cites an unresolved cited work.

Diverse Prototypical Ensembles Improve Robustness to Subpopulation Shift Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:59:12.555628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 9d296fdc-a524-4e76-9c82-dcbff934e24d · outbound

This paper cites UnLearning from Experience to Avoid Spurious Correlations.

Diverse Prototypical Ensembles Improve Robustness to Subpopulation Shift UnLearning from Experience to Avoid Spurious Correlations

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-07T12:59:09.731222Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:59:09.731222Z digest=sha256:d93aaf6f78f64eacab6409e56dcc23772c51c458876f16d8c89694e8e66d19af

Observation 9cd25ed6-5858-4892-9f29-26fe17d0d0f0 · outbound

This paper cites an unresolved cited work.

Diverse Prototypical Ensembles Improve Robustness to Subpopulation Shift Unresolved cited work

Reference 10

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:59:12.067953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 37f12229-4ffc-493f-a292-d8633a77478b · outbound

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

Diverse Prototypical Ensembles Improve Robustness to Subpopulation Shift The caltech-ucsd birds-200-2011 dataset

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:59:11.863759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 177135be-8ed0-4f4e-addc-f3cd704cd478 · outbound

This paper cites an unresolved cited work.

Diverse Prototypical Ensembles Improve Robustness to Subpopulation Shift Unresolved cited work

Reference 12

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:59:10.960157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T12:59:10.384425Z digest=sha256:ece53445e97c454f23899abd430a2f464d9937fa124e8e223bedad27221f9377

Observation 0d30758a-8ac2-4700-bc22-ff48b8ff972b · outbound

This paper cites Wotboost: Weighted oversampling technique in boosting for imbal- anced learning.

Diverse Prototypical Ensembles Improve Robustness to Subpopulation Shift Wotboost: Weighted oversampling technique in boosting for imbal- anced learning

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:59:11.377117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T12:59:10.133408Z digest=sha256:da8dcaab654c0e7aedbb7978e559043cd5762583c9f3044d28cba0924190f164

Observation 49bb3609-8a68-485e-acbc-9b8f4c45d2e8 · outbound

This paper cites Enhanced Isotropy Maximization Loss: Seamless and High-Performance Out-of-Distribution Detection Simply Replacing the SoftMax Loss.

Diverse Prototypical Ensembles Improve Robustness to Subpopulation Shift Enhanced Isotropy Maximization Loss: Seamless and High-Performance Out-of-Distribution Detection Simply Replacing the SoftMax Loss

Reference 2015

Resolution
verified exact
local_arxiv, observed 2026-08-07T12:59:10.638646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T12:59:09.589792Z digest=sha256:53192c7e1809c1993ae82a4b178906bd83f61356e2e6ee8a5704a3b0a5f64d47

Observation cd50ebdf-db93-4cf3-96e6-3ebd0e9916c1 · outbound

This paper cites Nuanced metrics for measuring unintended bias with real data for text classification.

Diverse Prototypical Ensembles Improve Robustness to Subpopulation Shift Nuanced metrics for measuring unintended bias with real data for text classification

Reference 2018

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:59:12.950181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation b93a54fc-ae4b-4bed-92d1-be14859fd83e · outbound

This paper cites V ., Lazarevic, A., Hall, L.

Diverse Prototypical Ensembles Improve Robustness to Subpopulation Shift V ., Lazarevic, A., Hall, L

Reference 2019

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:59:12.776453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T12:59:08.914354Z digest=sha256:4650f121f904144545a62c7863932f143b7be37c1f6fc8307f02b1aadd3d225d

Observation 3eee9e57-e8cf-451a-b473-47ea7470b2bd · outbound

This paper cites A Learning Based Hypothesis Test for Harmful Covariate Shift.

Diverse Prototypical Ensembles Improve Robustness to Subpopulation Shift A Learning Based Hypothesis Test for Harmful Covariate Shift

Reference 2020

Resolution
unresolved
no resolver link, observed 2026-08-07T12:59:09.110210Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:59:09.110210Z digest=sha256:06ac9b9de29f686c3b0cd2a224ed097f01733384834135fc6ff9e8345d510776

Observation eac737ba-6b66-4b16-8909-1c4ae881a824 · outbound

This paper cites Learning compact and effective distance metrics with diversity regularization.

Diverse Prototypical Ensembles Improve Robustness to Subpopulation Shift Learning compact and effective distance metrics with diversity regularization

Reference 2021

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:59:11.634270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T12:59:10.033997Z digest=sha256:cad1f4c401942150b5a15d1c302820b7f0d72263c80667b99a97b577f05898db

Observation 759e4af7-0553-433f-a9aa-2f87f4f873df · outbound

This paper cites MetaShift: A Dataset of Datasets for Evaluating Contextual Distribution Shifts and Training Conflicts.

Diverse Prototypical Ensembles Improve Robustness to Subpopulation Shift MetaShift: A Dataset of Datasets for Evaluating Contextual Distribution Shifts and Training Conflicts

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-07T12:59:09.461324Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:59:09.461324Z digest=sha256:4c6f03b8a1d3829412224d24e2f3ceba348a1ed7b7bb60c28a6d2e7f82086410

Observation 46f45932-b28a-49f8-8ba8-de50b18b8ad2 · outbound

This paper cites Diversify and disambiguate: Learning from underspecified data.

Diverse Prototypical Ensembles Improve Robustness to Subpopulation Shift Diversify and disambiguate: Learning from underspecified data

Reference 2024

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:59:12.342410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T12:59:09.318351Z digest=sha256:58baef920dd1b9c76a8cee18a4c3291cdc4f8f1aa38c27e4f11cd385fac5f687

Pith citing papers

Observation 7f32a684-289f-4dfb-9656-c7bb1f58bbbb · inbound

Beyond Metadata: CAPRA for Hidden Subgroup Analysis under Missing Metadata in Medical Imaging cites this paper.

Beyond Metadata: CAPRA for Hidden Subgroup Analysis under Missing Metadata in Medical Imaging Diverse Prototypical Ensembles Improve Robustness to Subpopulation Shift

Reference 55

Resolution
unresolved
no resolver link, observed 2026-07-13T05:24:57.033007Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T05:24:57.033007Z digest=sha256:6e9c1fdd5f8bf08ca97d68dacb0c7b31a714da1e150950efae69efbb814542e9