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Paper Citation Record · LEDGER

Diverse Prototypical Ensembles Improve Robustness to Subpopulation Shift

As of 7 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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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.

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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 2026-08-07T06:34:17.273281+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=sha256:9e43b5d0f774439c581802a1a4e9632a2429311d25c1525bd89947c840ed4b2d

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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:59:09.937311Z digest=sha256:cd7f667ba11b58cd121d19342f1b4acbb950885988565aa1337433bbdcc4b2f7

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:59:10.384425Z digest=sha256:6fed6ee6562ecc86438ef54d3d536400ea3dea9ab0418ce32924fa08f576ea99

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:59:10.133408Z digest=sha256:ace63d965eff76c91824ea5b8856be10934c6856800a1b0f1717398cfeee1e1e

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:59:09.589792Z digest=sha256:84f198612edabb0c3269a642682bd9f5cb5869c567825c7804aa94ac81d8ad39

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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:59:08.914354Z digest=sha256:cd5ad3172dc654517af76172e27aa0257838f974439659c5386e6fedd76feb8f

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=sha256:28910f17cdcb54bf47985c0c941077fb869c919c9e0120cb27ba7b1ba668f6e5

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:59:10.033997Z digest=sha256:a487b63a1359c6725ab8e7f4fdd4aa1b90ed6bc9ce06261bc7cea76c37fe22ce

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=sha256:7602929049579a1826d40ba31b5857f58b3596ad0edb18e6bd9a52cba92a3284

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:59:09.318351Z digest=sha256:eca8641ebfcf0351d29b1ebe027465eb1841fe05d39759a1fbc1683840657c3c

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=sha256:54635341d136fb0f3d8101a2ca9d180d6a80ef75ee703ebece332d0fed38889f