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Paper Citation Record · LEDGER

Learning Models with Uniform Performance via Distributionally Robust Optimization

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 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 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:51:59.570488Z

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=sha256:71464c4f6b237a4fda2c2d5d7a2809a8dc7c140062d07f920b5bf43738e7cf6e

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-13T09:18:32.912629Z digest=sha256:b46f7bbf4c2acf134998b6f3f9ac0a6d9e5a16d6726f76de37ec198efda7e4cb

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-22T23:50:21.087380Z digest=sha256:50536b86c40beaa0fc1f9fc0136bd0e9e32881f73f596efc006f81023b94a1a2

Observation 8e8a93b5-2f38-48b0-b4fa-e96813b552af · inbound

Contextures: The Mechanism of Representation Learning cites this paper.

Contextures: The Mechanism of Representation Learning Learning Models with Uniform Performance via Distributionally Robust Optimization

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-16T05:51:59.570488Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:51:59.570488Z digest=sha256:1db8358d244755359a3f11e027e69f7edbff44a66a78a4b658fc2cef67bfd42f

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=sha256:672731cd3723729ce37bbd84e35c7a3bfe053bff65d77883670b7afd7acbd3da

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=sha256:1902022b065278f8f8226c6643f821c9c378062be189cf7ae102e4f6136721a4

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-08T19:13:15.234351Z digest=sha256:14d395c60f7d049ae2e74b4c2f009d91cec109463e36cf2f2a87a49a603ca108

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-06-28T07:05:18.026601Z digest=sha256:a92faf4ca9adddf9fa3c3b6f158a06e4d093a9e776e3ffef8eaa21ae8b4bc386

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:fef7dc42686fac7ea89ef16371e074fed743cd677cc6682a9cd42590c382f8fa

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:bb593bf07e1a40751c418bc42218c6cc1b44e7deca2316aa6e06d6244e36bc7e