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Paper Citation Record · LEDGER

Learning Credal Ensembles via Distributionally Robust Optimization

As of 17 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 2 inbound Pith citation observations for arXiv:2602.08470.

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

pith.paper-citation-record.v1
2602.08470 v3

Coverage vector

measured 19 of 19 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T03:20:23.817042Z

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T20:43:43.396059Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-06-29T14:13:30.297812Z

Reference resolution

19 of 19 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved17
  • parse uncertain0
  • malformed identifier2
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a1c372ca-413c-4247-9b65-da675fa8616a · outbound

This paper cites Additionally, Wang et al.

Learning Credal Ensembles via Distributionally Robust Optimization Additionally, Wang et al

Reference 4

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 5235ea30-9898-43e8-b5f2-d080be9f0262 · outbound

This paper cites !') #' %(.

Learning Credal Ensembles via Distributionally Robust Optimization !') #' %(

Reference 5

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Observation dcb40026-6e48-4a5b-8d62-2af49754d2c6 · outbound

This paper cites Specifically, WSIs from centers 0, 1, and 3, which use 3DHistech scanners, make up the ID training and validation set.

Learning Credal Ensembles via Distributionally Robust Optimization Specifically, WSIs from centers 0, 1, and 3, which use 3DHistech scanners, make up the ID training and validation set

Reference 6

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no resolver link, observed 2026-08-03T03:20:23.804425Z

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Unavailable: canonical work link unavailable.

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Observation db950ce9-78f4-49da-a531-844a7335f1cd · outbound

This paper cites Distributionally Robust Neural Networks for Group Shifts: On the Importance of Regularization for Worst-Case Generalization.

Learning Credal Ensembles via Distributionally Robust Optimization Distributionally Robust Neural Networks for Group Shifts: On the Importance of Regularization for Worst-Case Generalization

Reference 7

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T03:20:23.762792Z digest=sha256:1f8e8220fd83b21b583c005432e2b821480c3da2d086dd9d7a9e9cef554357d3

Observation 4d469373-9e0a-438e-9d86-7ce420f9898b · outbound

This paper cites doi: 10.1016/j.

Learning Credal Ensembles via Distributionally Robust Optimization doi: 10.1016/j

Reference 8

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malformed identifier
no resolver link, observed 2026-08-03T03:20:23.767902Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 263a5d16-1f37-4486-b86a-5aa3dafd4b59 · outbound

This paper cites Credal ensemble distillation for uncertainty quantification.arXiv preprint arXiv:2511.13766, 2025a.

Learning Credal Ensembles via Distributionally Robust Optimization Credal ensemble distillation for uncertainty quantification.arXiv preprint arXiv:2511.13766, 2025a

Reference 9

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no resolver link, observed 2026-08-03T03:20:23.772949Z

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Unavailable: canonical work link unavailable.

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Observation 596a5e1c-1bb1-4f31-80dd-aa48ba8a0cd4 · outbound

This paper cites ""deffun(x: np.ndarray) -> np.ndarray:return-entropy(x, base=base)x0=probs.mean(axis=1)constraints={.

Learning Credal Ensembles via Distributionally Robust Optimization ""deffun(x: np.ndarray) -> np.ndarray:return-entropy(x, base=base)x0=probs.mean(axis=1)constraints={

Reference 10

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Unavailable: canonical work link unavailable.

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Observation 58efd296-12c6-479f-96ba-19048608a071 · outbound

This paper cites an unresolved cited work.

Learning Credal Ensembles via Distributionally Robust Optimization Unresolved cited work

Reference 17

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malformed identifier
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Unavailable: canonical work link unavailable.

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Observation d62b7fab-4a38-48e9-90e0-c7f7823739d0 · outbound

This paper cites All experiments are conducted on a single Nvidia A100-SXM4-80GB GPU.

Learning Credal Ensembles via Distributionally Robust Optimization All experiments are conducted on a single Nvidia A100-SXM4-80GB GPU

Reference 128

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Observation 9141f8c2-92c6-4a9d-8eb7-3ce409329aaa · outbound

This paper cites Wide Residual Networks.

Learning Credal Ensembles via Distributionally Robust Optimization Wide Residual Networks

Reference 2002

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Observation ca73e3b3-7380-409a-a4f4-e5f54ab3fcad · outbound

This paper cites Bayesian Hypernetworks.

Learning Credal Ensembles via Distributionally Robust Optimization Bayesian Hypernetworks

Reference 2009

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Observation c7171bfd-a4af-4ded-8c29-c340429d6d80 · outbound

This paper cites an unresolved cited work.

Learning Credal Ensembles via Distributionally Robust Optimization Unresolved cited work

Reference 2012

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Unavailable: canonical work link unavailable.

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Observation fac0ae40-a3d8-4449-8bb9-0456b168b36a · outbound

This paper cites On second-order scoring rules for epistemic uncertainty quantification.

Learning Credal Ensembles via Distributionally Robust Optimization On second-order scoring rules for epistemic uncertainty quantification

Reference 2013

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Observation 2aa0fdbe-a0a6-4e71-84c8-bd2a2ca61ff4 · outbound

This paper cites 18 Dengyong Zhou, Sumit Basu, Yi Mao, and John Platt.

Learning Credal Ensembles via Distributionally Robust Optimization 18 Dengyong Zhou, Sumit Basu, Yi Mao, and John Platt

Reference 2018

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Observation e497ed59-cdf1-46ab-8379-c5de2f41c3cf · outbound

This paper cites A unified evaluation framework for epistemic predictions.

Learning Credal Ensembles via Distributionally Robust Optimization A unified evaluation framework for epistemic predictions

Reference 2019

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Observation 3742dde2-586d-4344-a666-facd208d5353 · outbound

This paper cites Benchmarking Uncertainty Disentanglement: Specialized Uncertainties for Specialized Tasks.

Learning Credal Ensembles via Distributionally Robust Optimization Benchmarking Uncertainty Disentanglement: Specialized Uncertainties for Specialized Tasks

Reference 2021

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Observation c48301e2-dde7-4a63-bc58-d1ef805f7b01 · outbound

This paper cites Lightning UQ Box: A Comprehensive Framework for Uncertainty Quantification in Deep Learning.

Learning Credal Ensembles via Distributionally Robust Optimization Lightning UQ Box: A Comprehensive Framework for Uncertainty Quantification in Deep Learning

Reference 2024

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Unavailable: canonical work link unavailable.

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Observation 57cb2dd7-ee5a-47ac-9553-14772124dec4 · outbound

This paper cites Distributionally Robust Language Modeling.

Learning Credal Ensembles via Distributionally Robust Optimization Distributionally Robust Language Modeling

Reference 2025

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Observation f2b2edc5-4e55-410c-a6d6-cbae77fbe060 · outbound

This paper cites Yeming Wen, Dustin Tran, and Jimmy Ba.

Learning Credal Ensembles via Distributionally Robust Optimization Yeming Wen, Dustin Tran, and Jimmy Ba

Reference 2026

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Pith citing papers

Observation cc2a532e-888e-413e-9dde-62165febef0c · inbound

Set-based v.s. Distribution-based Representations of Epistemic Uncertainty: A Comparative Study cites this paper.

Set-based v.s. Distribution-based Representations of Epistemic Uncertainty: A Comparative Study Learning Credal Ensembles via Distributionally Robust Optimization

Reference 49

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Observation 60fec167-809b-4417-a789-a6e04eeb5a03 · inbound

Unification and Optimization of Robust Supervised Learning cites this paper.

Unification and Optimization of Robust Supervised Learning Learning Credal Ensembles via Distributionally Robust Optimization

Reference 45

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local_arxiv, observed 2026-06-29T14:13:30.298921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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