Paper Citation Record · LEDGER

Certifying Some Distributional Robustness with Principled Adversarial Training

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 31 inbound Pith citation observations for arXiv:1710.10571.

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

pith.paper-citation-record.v1
1710.10571 v5

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 31 of 31 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 31 of 31 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:14:38.826853Z

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
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malformed identifier0
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External citation measurements

346
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 2dd2e29e-31f7-4bdf-90b2-5979171ffdb5 · inbound

Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems cites this paper.

Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems Certifying Some Distributional Robustness with Principled Adversarial Training

Reference 49

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T11:33:21.220075Z

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.

Observation 57d40b0e-3ef7-499f-ae08-f6120b8508bd · inbound

Robust SGLD algorithm for solving non-convex distributionally robust optimisation problems cites this paper.

Robust SGLD algorithm for solving non-convex distributionally robust optimisation problems Certifying Some Distributional Robustness with Principled Adversarial Training

Reference 122

Resolution: verified exact; arxiv_id, observed 2026-05-24T02:43:47.628269Z

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.

Observation 1f5af60f-0547-42fa-9fe7-0ca404aa3417 · inbound

Toward Robust Neural Reconstruction from Sparse Point Sets cites this paper.

Toward Robust Neural Reconstruction from Sparse Point Sets Certifying Some Distributional Robustness with Principled Adversarial Training

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-11T10:42:49.299692Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5cbfd8a8-6548-4c24-8123-5cbb01d1afa2 · inbound

Distributionally Robust Optimization via Iterative Algorithms in Continuous Probability Spaces cites this paper.

Distributionally Robust Optimization via Iterative Algorithms in Continuous Probability Spaces Certifying Some Distributional Robustness with Principled Adversarial Training

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-10T23:26:24.789734Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e1e1a63e-05cb-461e-8705-83e75ce0d890 · inbound

Decentralized Min-Max Optimization with Gradient Tracking cites this paper.

Decentralized Min-Max Optimization with Gradient Tracking Certifying Some Distributional Robustness with Principled Adversarial Training

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-15T21:14:38.826853Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bad7c10f-9333-457f-928a-75592f9ee03f · inbound

When Shift Happens - Confounding Is to Blame cites this paper.

When Shift Happens - Confounding Is to Blame Certifying Some Distributional Robustness with Principled Adversarial Training

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-07T13:40:21.948421Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 872eb3c9-cdd6-46f7-824d-762c067ef757 · inbound

FOCoOp: Enhancing Out-of-Distribution Robustness in Federated Prompt Learning for Vision-Language Models cites this paper.

FOCoOp: Enhancing Out-of-Distribution Robustness in Federated Prompt Learning for Vision-Language Models Certifying Some Distributional Robustness with Principled Adversarial Training

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-06T23:51:00.164072Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a6d40ee1-e43f-4869-882d-03fd8065c992 · inbound

DRO-Augment Framework: Robustness by Synergizing Wasserstein Distributionally Robust Optimization and Data Augmentation cites this paper.

DRO-Augment Framework: Robustness by Synergizing Wasserstein Distributionally Robust Optimization and Data Augmentation Certifying Some Distributional Robustness with Principled Adversarial Training

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-15T19:06:49.540461Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2c7be32c-07bd-402c-9654-5997a4148884 · inbound

A New Perspective On AI Safety Through Control Theory Methodologies cites this paper.

A New Perspective On AI Safety Through Control Theory Methodologies Certifying Some Distributional Robustness with Principled Adversarial Training

Reference 91

Resolution: unresolved; no resolver link, observed 2026-08-06T21:38:26.029403Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b9336108-d6a0-4497-964b-c67a176e6daf · inbound

A first-order method for nonconvex-nonconcave minimax problems under a local Kurdyka-Lojasiewicz condition cites this paper.

A first-order method for nonconvex-nonconcave minimax problems under a local Kurdyka-Lojasiewicz condition Certifying Some Distributional Robustness with Principled Adversarial Training

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-05-21T23:35:45.714678Z

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.

Observation bc9e8de9-2419-4b17-b5d6-72137e5810ed · inbound

Understanding Knowledge Transferability for Transfer Learning: A Survey cites this paper.

Understanding Knowledge Transferability for Transfer Learning: A Survey Certifying Some Distributional Robustness with Principled Adversarial Training

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-06T20:22:28.803320Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dfdb64a4-401b-45da-b8db-89bf88fe795b · inbound

An Optimistic Gradient Tracking Method for Distributed Minimax Optimization cites this paper.

An Optimistic Gradient Tracking Method for Distributed Minimax Optimization Certifying Some Distributional Robustness with Principled Adversarial Training

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-05T14:28:34.612349Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation da2d90b1-b867-4696-adb8-e1a8bf70a2d2 · inbound

Group Distributionally Robust Machine Learning under Group Level Distributional Uncertainty cites this paper.

Group Distributionally Robust Machine Learning under Group Level Distributional Uncertainty Certifying Some Distributional Robustness with Principled Adversarial Training

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-04T20:03:07.691117Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 66a2b13d-0413-4cd4-ad3c-169aa5fbb748 · inbound

Robustifying Diffusion-Denoised Smoothing Against Covariate Shift cites this paper.

Robustifying Diffusion-Denoised Smoothing Against Covariate Shift Certifying Some Distributional Robustness with Principled Adversarial Training

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-04T17:30:02.248572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 48bf6cd9-bfd6-4f8b-b027-1c58c23ef108 · inbound

Improved Stochastic Optimization of LogSumExp cites this paper.

Improved Stochastic Optimization of LogSumExp Certifying Some Distributional Robustness with Principled Adversarial Training

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-04T13:54:24.304742Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1fc03eca-7269-429b-920c-8873d4713db3 · inbound

A first-order method for constrained nonconvex-nonconcave minimax optimization cites this paper.

A first-order method for constrained nonconvex-nonconcave minimax optimization Certifying Some Distributional Robustness with Principled Adversarial Training

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-04T13:26:09.882829Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 238f0d35-122d-4d9d-8393-7d993427be90 · inbound

Gradient Flow Sampler-based Distributionally Robust Optimization cites this paper.

Gradient Flow Sampler-based Distributionally Robust Optimization Certifying Some Distributional Robustness with Principled Adversarial Training

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-04T07:29:40.934064Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5f7da2bc-5e21-494b-a307-44d7d38664c6 · inbound

Multivariate Time Series Data Imputation via Distributionally Robust Regularization cites this paper.

Multivariate Time Series Data Imputation via Distributionally Robust Regularization Certifying Some Distributional Robustness with Principled Adversarial Training

Reference 55

Resolution: verified exact; arxiv_id, observed 2026-05-16T08:42:36.972496Z

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.

Observation 46cc1d35-cf3f-4d3a-a030-5919ea97bc5e · inbound

Bigger Is Safer: Provable Robustness in In-Context Learning Scales with Capacity cites this paper.

Bigger Is Safer: Provable Robustness in In-Context Learning Scales with Capacity Certifying Some Distributional Robustness with Principled Adversarial Training

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-02T22:19:23.064805Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f09cdad-8c9b-42e2-9bb6-4d4def9fc6dc · inbound

Generative models for decision-making under distributional shift cites this paper.

Generative models for decision-making under distributional shift Certifying Some Distributional Robustness with Principled Adversarial Training

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-10T21:55:51.941632Z

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.

Observation a4fe4a40-a333-43b6-95cd-4f95f6936e6f · inbound

Adversarial Label Invariant Graph Data Augmentations for Out-of-Distribution Generalization cites this paper.

Adversarial Label Invariant Graph Data Augmentations for Out-of-Distribution Generalization Certifying Some Distributional Robustness with Principled Adversarial Training

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-11T07:41:01.655550Z

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.

Observation ecbd4be2-08e8-44dd-8cb7-6de2d2195728 · inbound

Deep Learning for Sequential Decision Making under Uncertainty: Foundations, Frameworks, and Frontiers cites this paper.

Deep Learning for Sequential Decision Making under Uncertainty: Foundations, Frameworks, and Frontiers Certifying Some Distributional Robustness with Principled Adversarial Training

Reference 115

Resolution: verified exact; arxiv_id, observed 2026-05-10T15:40:33.097233Z

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.

Observation 7cfe2c26-d859-48f0-b7bc-58005cff7edf · inbound

A Distributionally Robust Reinforcement Learning Framework for Constrained Urban EV Dispatch cites this paper.

A Distributionally Robust Reinforcement Learning Framework for Constrained Urban EV Dispatch Certifying Some Distributional Robustness with Principled Adversarial Training

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-09T01:59:36.018469Z

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.

Observation ea387019-ba3d-4af7-9940-32e29672bc61 · inbound

Robust Representation Learning through Explicit Environment Modeling cites this paper.

Robust Representation Learning through Explicit Environment Modeling Certifying Some Distributional Robustness with Principled Adversarial Training

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-05-12T00:46:12.925875Z

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.

Observation 94392920-11f3-44db-a3fa-76c2d38cab80 · inbound

Distributionally Robust Multi-Objective Optimization cites this paper.

Distributionally Robust Multi-Objective Optimization Certifying Some Distributional Robustness with Principled Adversarial Training

Reference 40

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T18:36:08.406743Z

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.

Observation 813e46d4-2c4a-4386-b132-eea4f69e4d4b · inbound

Unlearning with Asymmetric Sources: Improved Unlearning-Utility Trade-off with Public Data cites this paper.

Unlearning with Asymmetric Sources: Improved Unlearning-Utility Trade-off with Public Data Certifying Some Distributional Robustness with Principled Adversarial Training

Reference 42

Resolution: verified exact; arxiv_id, observed 2026-05-13T05:57:21.620183Z

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.

Observation ef9cc49c-c950-4b3b-b723-9ffa61335002 · inbound

Lipschitz Optimization for Formal Verification of Homographies cites this paper.

Lipschitz Optimization for Formal Verification of Homographies Certifying Some Distributional Robustness with Principled Adversarial Training

Reference 44

Resolution: verified exact; arxiv_id, observed 2026-05-25T05:00:22.240908Z

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.

Observation af43a220-cfc3-431f-973b-79557b9af0f7 · inbound

A Single-Loop Regularized Newton Method for Nonconvex-Strongly-Concave Minimax Optimization cites this paper.

A Single-Loop Regularized Newton Method for Nonconvex-Strongly-Concave Minimax Optimization Certifying Some Distributional Robustness with Principled Adversarial Training

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-07-02T19:17:18.495905Z

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.

Observation e05ba2fb-9953-4066-bfc6-96a436a34447 · inbound

Reinforcement Learning Disrupts Gradient-Based Adversarial Optimization cites this paper.

Reinforcement Learning Disrupts Gradient-Based Adversarial Optimization Certifying Some Distributional Robustness with Principled Adversarial Training

Reference 62

Resolution: verified exact; arxiv_id, observed 2026-07-03T09:57:56.243589Z

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.

Observation 8837ec2b-5c38-42f5-ba1f-f1d5644ad90d · inbound

Amnesia: A Stealthy Replay Attack on Continual Learning Dreams cites this paper.

Amnesia: A Stealthy Replay Attack on Continual Learning Dreams Certifying Some Distributional Robustness with Principled Adversarial Training

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-07-03T12:18:06.665574Z

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.

Observation 3f57ffe0-5991-48b9-b0a3-e48c1125bdc6 · inbound

Distributionally Robust and Safe Imitation Learning cites this paper.

Distributionally Robust and Safe Imitation Learning Certifying Some Distributional Robustness with Principled Adversarial Training

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-02T05:17:10.321266Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.