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Paper Citation Record · LEDGER

Learning Models with Uniform Performance via Distributionally Robust Optimization

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:1810.08750.

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

pith.paper-citation-record.v1
1810.08750 v6

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 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 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:33:16.088211Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

23
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 48800741-b88a-4e9e-8be2-97d02dbd4999 · inbound

Unlearn Dataset Bias in Natural Language Inference by Fitting the Residual cites this paper.

Unlearn Dataset Bias in Natural Language Inference by Fitting the Residual Learning Models with Uniform Performance via Distributionally Robust Optimization

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-14T10:42:14.488594Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T10:42:14.488594Z digest=sha256:0076d88742451a241b47f282815e35fee897bc33adec000778334a9ac207baa4

Observation 4f756f46-1d71-4597-800d-234ea54853f5 · inbound

Distributionally Robust Language Modeling cites this paper.

Distributionally Robust Language Modeling Learning Models with Uniform Performance via Distributionally Robust Optimization

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-14T05:05:53.230076Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T05:05:53.230076Z digest=sha256:a7ef98f483d44a2e2a4671bfe538aea4f69fe096ad25f441c495192d9d052c6a

Observation 60121da8-7218-4374-82b5-f9663a312040 · inbound

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

Distributionally Robust Neural Networks for Group Shifts: On the Importance of Regularization for Worst-Case Generalization Learning Models with Uniform Performance via Distributionally Robust Optimization

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-13T09:18:33.081985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-05-13T09:18:32.912629Z digest=sha256:baff2f32f4e534cbfbb6346765411d76a791875c7f33dc6f1f2dc624845a6ee7

Observation fe710e65-1c93-4e76-a460-a72f96f00090 · inbound

Control, Optimal Transport and Neural Differential Equations in Supervised Learning cites this paper.

Control, Optimal Transport and Neural Differential Equations in Supervised Learning Learning Models with Uniform Performance via Distributionally Robust Optimization

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-05-22T23:52:16.949650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-22T23:50:21.087380Z digest=sha256:e0acf2c47ebf737f71b43c0e620b51acd83faea8fd1190688c99cce28c48e87c

Observation a06ebcf7-86d5-44db-b455-343d1ee3aa06 · inbound

A Comprehensive Survey on Physical Risk Control in the Era of Foundation Model-enabled Robotics cites this paper.

A Comprehensive Survey on Physical Risk Control in the Era of Foundation Model-enabled Robotics Learning Models with Uniform Performance via Distributionally Robust Optimization

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-15T20:33:16.088211Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:33:16.088211Z digest=sha256:712d930293384879bb9e295d20e6ccaa76a3beddeec5054bbf3cea326b2a791d

Observation 890473d1-52e4-421e-9104-c33da6a6e0ee · inbound

GRAPE: Optimize Data Mixture for Group Robust Multi-target Adaptive Pretraining cites this paper.

GRAPE: Optimize Data Mixture for Group Robust Multi-target Adaptive Pretraining Learning Models with Uniform Performance via Distributionally Robust Optimization

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-07T14:04:23.320223Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:04:23.320223Z digest=sha256:fd7ac2cfe5112f43c53b81dd7497d776201f98545a1e7cf02b292d36857fee59

Observation e8a8b78a-c191-48f3-bf02-234e66e4077e · inbound

Taming the Curses of Multiagency in Robust Markov Games with Large State Space through Linear Function Approximation cites this paper.

Taming the Curses of Multiagency in Robust Markov Games with Large State Space through Linear Function Approximation Learning Models with Uniform Performance via Distributionally Robust Optimization

Reference 11

Resolution
metadata mismatch
arxiv_id, observed 2026-05-09T06:00:35.940148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-08T19:13:15.234351Z digest=sha256:b4e556585401516e4a8d0f8b196aba45ca30191087baa4cd600ec16534c466f9

Observation ffbf9b3b-e3a8-4419-92a0-c754d76d8f03 · inbound

Toward Calibrated, Fair, and accurate Deepfake Detection cites this paper.

Toward Calibrated, Fair, and accurate Deepfake Detection Learning Models with Uniform Performance via Distributionally Robust Optimization

Reference 160

Resolution
verified exact
arxiv_id, observed 2026-06-28T07:11:45.127770Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-06-28T07:05:18.026601Z digest=sha256:41b8a64d7ab2ae1f17724e4b206d316b3cc085617fbaa760a71e9f48b1f717b4

Observation 0dc87e4e-7fbd-4999-8c26-3d9634041b2f · inbound

RUBRIC: Realism--Utility Balanced Ranking for Imbalanced Classification cites this paper.

RUBRIC: Realism--Utility Balanced Ranking for Imbalanced Classification Learning Models with Uniform Performance via Distributionally Robust Optimization

Reference 18

Resolution
unresolved
no resolver link, observed 2026-07-14T15:21:29.503625Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-14T15:21:29.503625Z digest=sha256:8a8c4dcefdc77b9ae8e3a6e24007caa4d742c4518288b4fbf4b5eb96652fc5f6

Observation cfea67a3-6188-4999-b02f-b8e268abf941 · inbound

RUBRIC: Realism--Utility Balanced Ranking for Imbalanced Classification cites this paper.

RUBRIC: Realism--Utility Balanced Ranking for Imbalanced Classification Learning Models with Uniform Performance via Distributionally Robust Optimization

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-02T07:46:24.648620Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T07:46:24.648620Z digest=sha256:d73e7d877cd92d9f27bf75f932e7885e49ef5463aab9304b858b92d30108fed5