Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-09T11:28:00.246915Z
Paper Citation Record · LEDGER
Achievable distributional robustness when the robust risk is only partially identified
As of 18 August 2026, this Paper Citation Record lists 64 of 64 outbound references and 0 inbound Pith citation observations for arXiv:2502.02710.
A citation records a reference. It does not transfer a finding from one paper to another.
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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
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Source: cited_works
Reference resolution
64 of 64 outbound references displayed
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External citation measurements
No source-named external measurement is stored.
Outbound references
Observation c7e7e3f7-34ab-4db2-9da0-d2ea08bd3aa3 · outbound
This paper cites Robust solutions of optimization problems affected by uncertain probabilities.
Achievable distributional robustness when the robust risk is only partially identified Robust solutions of optimization problems affected by uncertain probabilities
Reference 1
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Observation 5d921cc1-dd23-4e27-a6cb-82db5c495633 · outbound
This paper cites Learning models with uniform performance via distributionally robust optimization.
Achievable distributional robustness when the robust risk is only partially identified Learning models with uniform performance via distributionally robust optimization
Reference 2
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Observation 241eeec4-76ef-4921-9700-d6bdd1351664 · outbound
This paper cites Goodfellow, Jonathon Shlens, and Christian Szegedy.
Achievable distributional robustness when the robust risk is only partially identified Goodfellow, Jonathon Shlens, and Christian Szegedy
Reference 3
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Observation f19ce83e-4b7c-4d72-93e4-cbde53aa4c36 · outbound
This paper cites Towards deep learning models resistant to adversarial attacks.
Achievable distributional robustness when the robust risk is only partially identified Towards deep learning models resistant to adversarial attacks
Reference 4
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Observation 05c762e0-d316-455b-bd86-b967d35372c2 · outbound
This paper cites Domain adaptation with multiple sources.
Achievable distributional robustness when the robust risk is only partially identified Domain adaptation with multiple sources
Reference 5
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Observation f2f229e0-0e1f-4129-901a-c8998f1ce454 · outbound
This paper cites Maximin effects in inhomogeneous large-scale data.
Achievable distributional robustness when the robust risk is only partially identified Maximin effects in inhomogeneous large-scale data
Reference 6
- Resolution
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Observation 0991adae-b686-40f7-9309-a2752ce447eb · outbound
This paper cites Hashimoto, and Percy Liang.
Achievable distributional robustness when the robust risk is only partially identified Hashimoto, and Percy Liang
Reference 7
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Source-reported events for the cited work
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Observation 7356d6ce-175d-493d-9c6b-2feb21ed5cc6 · outbound
This paper cites Invariance, causality and robustness.
Achievable distributional robustness when the robust risk is only partially identified Invariance, causality and robustness
Reference 8
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Source-reported events for the cited work
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Observation 0f4faa8b-be3b-4529-b515-8c2dfa530ea5 · outbound
This paper cites Causality from a distributional robustness point of view.
Achievable distributional robustness when the robust risk is only partially identified Causality from a distributional robustness point of view
Reference 9
- Resolution
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Observation d3b31aea-435b-4eb2-9d71-1900f93ccaf9 · outbound
This paper cites Causality-oriented robustness: exploiting general noise interventions.
Achievable distributional robustness when the robust risk is only partially identified Causality-oriented robustness: exploiting general noise interventions
Reference 10
- Resolution
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Source-reported events for the cited work
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Observation a9bcb5ce-e106-40d0-867f-b51be31436a1 · outbound
This paper cites Adversarial training and robustness for multiple perturbations.
Achievable distributional robustness when the robust risk is only partially identified Adversarial training and robustness for multiple perturbations
Reference 11
- Resolution
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Source-reported events for the cited work
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Observation 4c3fd8d2-c6f5-449b-b8a8-453e5c0c5151 · outbound
This paper cites Transfer of Adversarial Robustness Between Perturbation Types.
Achievable distributional robustness when the robust risk is only partially identified Transfer of Adversarial Robustness Between Perturbation Types
Reference 12
- Resolution
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Source-reported events for the cited work
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Observation 3e0a68a5-a50e-4992-a1b6-6a5525f9613c · outbound
This paper cites Causal inference by using invariant prediction: identifica- tion and confidence intervals.
Achievable distributional robustness when the robust risk is only partially identified Causal inference by using invariant prediction: identifica- tion and confidence intervals
Reference 13
- Resolution
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Source-reported events for the cited work
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Observation 54983709-4e7f-414c-bdfc-a38e57ff767a · outbound
This paper cites Invariant models for causal transfer learning.
Achievable distributional robustness when the robust risk is only partially identified Invariant models for causal transfer learning
Reference 14
- Resolution
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Observation 1ec4d62e-5c92-4e82-9be0-7e3962b918d0 · outbound
This paper cites Invariant Risk Minimization.
Achievable distributional robustness when the robust risk is only partially identified Invariant Risk Minimization
Reference 15
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Source-reported events for the cited work
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Observation a51a8a4d-bc04-42f3-8966-b9f659ae485e · outbound
This paper cites Out-of-distribution generalization via risk extrapolation (REx).
Achievable distributional robustness when the robust risk is only partially identified Out-of-distribution generalization via risk extrapolation (REx)
Reference 16
- Resolution
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Source-reported events for the cited work
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Observation aecc1cbc-de81-4616-9f9c-b6fc96a78fb1 · outbound
This paper cites Varshney.
Achievable distributional robustness when the robust risk is only partially identified Varshney
Reference 17
- Resolution
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Source-reported events for the cited work
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Observation 7eb9b07e-a0d7-4e66-b001-6ff8ddcd8341 · outbound
This paper cites Invariant risk minimization games.
Achievable distributional robustness when the robust risk is only partially identified Invariant risk minimization games
Reference 18
- Resolution
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Source-reported events for the cited work
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Observation f8fe05dd-3b15-4032-baa3-ffed2a4ea45d · outbound
This paper cites Does invariant risk minimization capture invariance? In International Conference on Artificial Intelligence and Statistics , pages 4069–4077.
Achievable distributional robustness when the robust risk is only partially identified Does invariant risk minimization capture invariance? In International Conference on Artificial Intelligence and Statistics , pages 4069–4077
Reference 19
- Resolution
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Source-reported events for the cited work
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Observation e744f5be-6d12-46c6-b3d2-c46435004275 · outbound
This paper cites The risks of invariant risk minimization.
Achievable distributional robustness when the robust risk is only partially identified The risks of invariant risk minimization
Reference 20
- Resolution
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Observation 09b33919-37d6-45a7-b86f-3fdd37b1ef4f · outbound
This paper cites Anchor regression: Heterogeneous data meet causality.
Achievable distributional robustness when the robust risk is only partially identified Anchor regression: Heterogeneous data meet causality
Reference 21
- Resolution
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Observation f15f46f8-b9f4-4a77-8521-ee85df8b55e8 · outbound
This paper cites Partial identification in econometrics.
Achievable distributional robustness when the robust risk is only partially identified Partial identification in econometrics
Reference 22
- Resolution
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Source-reported events for the cited work
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Observation be1ec8c3-4de8-4d62-a558-4ed30fdd0262 · outbound
This paper cites From perfect to practical: Partial identification methods for causal inference in strategic management research.
Achievable distributional robustness when the robust risk is only partially identified From perfect to practical: Partial identification methods for causal inference in strategic management research
Reference 23
- Resolution
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Source-reported events for the cited work
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Observation e71b23fb-b668-49e1-81e7-c8aaec7e5333 · outbound
This paper cites Assouad, Fano, and le Cam.
Achievable distributional robustness when the robust risk is only partially identified Assouad, Fano, and le Cam
Reference 24
- Resolution
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Source-reported events for the cited work
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Observation f9734c66-5b32-4aa3-ae26-ec0cfee41d10 · outbound
This paper cites Exploiting independent instruments: Identification and distribution generalization.
Achievable distributional robustness when the robust risk is only partially identified Exploiting independent instruments: Identification and distribution generalization
Reference 25
- Resolution
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Source-reported events for the cited work
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Observation bd00fb44-6da8-42b2-a582-7f426c8df798 · outbound
This paper cites Partial transportability for domain generalization.
Achievable distributional robustness when the robust risk is only partially identified Partial transportability for domain generalization
Reference 26
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Source-reported events for the cited work
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Observation 17b7fcd8-56cc-4b2f-be2a-b33eff3e9e76 · outbound
This paper cites Improving predictive inference under covariate shift by weighting the log-likelihood function.
Achievable distributional robustness when the robust risk is only partially identified Improving predictive inference under covariate shift by weighting the log-likelihood function
Reference 27
- Resolution
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Source-reported events for the cited work
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Observation e9f0b9c6-7c21-4c6a-bc4c-49778ee28d87 · outbound
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Achievable distributional robustness when the robust risk is only partially identified Identification, pages 65–77
Reference 28
- Resolution
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Observation 52fed9f3-3049-4ef4-83bb-6297c2b26179 · outbound
This paper cites Advanced Econometrics.
Achievable distributional robustness when the robust risk is only partially identified Advanced Econometrics
Reference 29
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Achievable distributional robustness when the robust risk is only partially identified Instrumental variables
Reference 30
- Resolution
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Observation 8058e1ff-4f84-46c2-9695-b75c0e2b53cc · outbound
This paper cites Domain adaptation under structural causal models.
Achievable distributional robustness when the robust risk is only partially identified Domain adaptation under structural causal models
Reference 31
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Source-reported events for the cited work
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Observation 690f4bed-9846-4398-aff6-fc5c2e7502de · outbound
This paper cites Mapping information-rich genotype- phenotype landscapes with genome-scale Perturb-seq.
Achievable distributional robustness when the robust risk is only partially identified Mapping information-rich genotype- phenotype landscapes with genome-scale Perturb-seq
Reference 32
- Resolution
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Observation bb4bf0bf-f7b7-451c-a120-72a77ffff7f6 · outbound
This paper cites Assessing the overall and partial causal well-specification of nonlinear additive noise models.
Achievable distributional robustness when the robust risk is only partially identified Assessing the overall and partial causal well-specification of nonlinear additive noise models
Reference 33
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Observation a9c8d050-e407-4ca2-9863-fa5148d506db · outbound
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Achievable distributional robustness when the robust risk is only partially identified Evaluating robustness to dataset shift via parametric robustness sets
Reference 34
- Resolution
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Source-reported events for the cited work
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Observation d34e5991-2abf-4e85-88b1-90bf2ef32967 · outbound
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Achievable distributional robustness when the robust risk is only partially identified Learning linear causal representations from interventions under general nonlinear mixing
Reference 35
- Resolution
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Observation a0eed730-7eb6-4b6a-bdd5-ec4d32714aa9 · outbound
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Achievable distributional robustness when the robust risk is only partially identified Active learning for optimal intervention design in causal models
Reference 36
- Resolution
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Source-reported events for the cited work
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Observation bec5a443-0ed2-401d-8786-1942e11819df · outbound
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Achievable distributional robustness when the robust risk is only partially identified Active invariant causal prediction: Experiment selection through stability
Reference 37
- Resolution
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Observation f9ab65c3-c550-4faf-a5a1-2e5c64952d62 · outbound
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Achievable distributional robustness when the robust risk is only partially identified Certifiable distributional robustness with principled adversarial training
Reference 38
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Source-reported events for the cited work
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Observation 6396bb20-4346-4aab-ac50-ba189feb6025 · outbound
This paper cites Data-driven distributionally robust optimization using the Wasser- stein metric: Performance guarantees and tractable reformulations.
Achievable distributional robustness when the robust risk is only partially identified Data-driven distributionally robust optimization using the Wasser- stein metric: Performance guarantees and tractable reformulations
Reference 39
- Resolution
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Source-reported events for the cited work
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Observation 47a0866e-5b17-44af-9e21-3805fc70365f · outbound
This paper cites Environment Invariant Linear Least Squares.
Achievable distributional robustness when the robust risk is only partially identified Environment Invariant Linear Least Squares
Reference 40
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Achievable distributional robustness when the robust risk is only partially identified Domain adaptation by using causal inference to predict invariant conditional distributions
Reference 41
- Resolution
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Source-reported events for the cited work
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Observation dccca8aa-fea6-49c4-9b31-546c517d7d6e · outbound
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Achievable distributional robustness when the robust risk is only partially identified Gradient matching for domain generalization
Reference 42
- Resolution
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Source-reported events for the cited work
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Observation 96c43e30-67da-4446-a8c2-4a89d5eaa7e2 · outbound
This paper cites Risk Variance Penalization.
Achievable distributional robustness when the robust risk is only partially identified Risk Variance Penalization
Reference 43
- Resolution
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Source-reported events for the cited work
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Observation c1b1a6d4-c53b-4948-89a5-80954f900ca0 · outbound
This paper cites Invariance principle meets information bottleneck for out-of-distribution generalization.
Achievable distributional robustness when the robust risk is only partially identified Invariance principle meets information bottleneck for out-of-distribution generalization
Reference 44
- Resolution
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Observation 73c469a8-acf1-43d8-aef1-774e30002679 · outbound
This paper cites Distributional robustness of K-class estimators and the PULSE.
Achievable distributional robustness when the robust risk is only partially identified Distributional robustness of K-class estimators and the PULSE
Reference 45
- Resolution
- verified fuzzy
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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 daa45feb-6f7f-4129-80bf-4a9131e9d5d6 · outbound
This paper cites A causal framework for distribution generalization.
Achievable distributional robustness when the robust risk is only partially identified A causal framework for distribution generalization
Reference 46
- Resolution
- verified fuzzy
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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 a6f6ce40-cd28-402d-ab18-34a18db7bad9 · outbound
This paper cites Distributional anchor regression.
Achievable distributional robustness when the robust risk is only partially identified Distributional anchor regression
Reference 47
- Resolution
- verified fuzzy
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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 6d6847d3-3077-4ed0-9f38-5eb18f0b495e · outbound
This paper cites Incorporating unlabeled data into distribu- tionally robust learning.
Achievable distributional robustness when the robust risk is only partially identified Incorporating unlabeled data into distribu- tionally robust learning
Reference 48
- Resolution
- verified fuzzy
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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 e44fbf87-15c1-40d4-9c64-51ed610c7ba1 · outbound
This paper cites Distributionally robust optimization with data geometry.
Achievable distributional robustness when the robust risk is only partially identified Distributionally robust optimization with data geometry
Reference 49
- Resolution
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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 7dd81f81-c726-4b6c-92f2-71aa5a9f19af · outbound
This paper cites Causality: Models, Reasoning and Inference.
Achievable distributional robustness when the robust risk is only partially identified Causality: Models, Reasoning and Inference
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T11:28:00.555415Z
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 46923df1-4106-44be-bcf6-a9627f8d6af0 · outbound
This paper cites Identification of causal effects using instrumental variables.
Achievable distributional robustness when the robust risk is only partially identified Identification of causal effects using instrumental variables
Reference 51
- Resolution
- verified fuzzy
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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 a596e246-a950-499b-a8bf-ea6fc8d636c2 · outbound
This paper cites Deep IV: A flexible approach for counterfactual prediction.
Achievable distributional robustness when the robust risk is only partially identified Deep IV: A flexible approach for counterfactual prediction
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T11:28:00.525332Z
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 cf3f3764-da05-4bea-95e0-80d17db65ad5 · outbound
This paper cites Kernel instrumental variable regression.
Achievable distributional robustness when the robust risk is only partially identified Kernel instrumental variable regression
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T11:28:00.510965Z
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 cc662b8b-ec2d-43aa-a04c-6cb242f7bd72 · outbound
This paper cites Deep generalized method of moments for instrumental variable analysis.
Achievable distributional robustness when the robust risk is only partially identified Deep generalized method of moments for instrumental variable analysis
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T11:28:00.496831Z
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 727f3c93-7314-462a-81a5-33239241415a · outbound
This paper cites Dual instrumental variable regression.
Achievable distributional robustness when the robust risk is only partially identified Dual instrumental variable regression
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T11:28:00.481721Z
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 798666b2-a7f1-4998-8f4f-12832499a8cf · outbound
This paper cites In search of lost domain generalization.
Achievable distributional robustness when the robust risk is only partially identified In search of lost domain generalization
Reference 56
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T11:28:00.210547Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation da938680-17f1-4bbb-a093-bb14b8114b25 · outbound
This paper cites Elements of causal inference: foundations and learning algorithms.
Achievable distributional robustness when the robust risk is only partially identified Elements of causal inference: foundations and learning algorithms
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T11:28:00.458342Z
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 6554645c-f67c-47da-8e52-ca20bab9a566 · outbound
This paper cites A useful variant of the Davis–Kahan theorem for statisticians.
Achievable distributional robustness when the robust risk is only partially identified A useful variant of the Davis–Kahan theorem for statisticians
Reference 58
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T11:28:00.443558Z
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 c43ca387-a64e-4194-b4cc-76577ea35ff1 · outbound
This paper cites Asymptotic statistics, volume 3.
Achievable distributional robustness when the robust risk is only partially identified Asymptotic statistics, volume 3
Reference 59
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T11:28:00.223501Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 028352cd-62a5-468d-96ee-40007211cd0d · outbound
This paper cites CausalBench: A Large-scale Benchmark for Network Inference from Single-cell Perturbation Data.
Achievable distributional robustness when the robust risk is only partially identified CausalBench: A Large-scale Benchmark for Network Inference from Single-cell Perturbation Data
Reference 60
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T11:28:00.227954Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b7337d9c-1838-4f44-9673-de1fda660f7d · outbound
This paper cites Repurposing CRISPR as an RNA-guided platform for sequence-specific control of gene expression.
Achievable distributional robustness when the robust risk is only partially identified Repurposing CRISPR as an RNA-guided platform for sequence-specific control of gene expression
Reference 61
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T11:28:00.420152Z
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 2fac6df4-d4a4-4066-8572-c653f50d3f84 · outbound
This paper cites dominated reference environment.
Achievable distributional robustness when the robust risk is only partially identified dominated reference environment
Reference 62
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T11:28:00.404685Z
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 898cc886-2728-484a-a7fb-5a6613abf329 · outbound
This paper cites Under the assumption of the consistency of the nuisance parameter estimators, we can now show that (21) is a consistent estimator of the worst-case robust predictor.
Achievable distributional robustness when the robust risk is only partially identified Under the assumption of the consistency of the nuisance parameter estimators, we can now show that (21) is a consistent estimator of the worst-case robust predictor
Reference 63
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T11:28:00.389948Z
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 c19fedd5-b130-408c-b2da-517dcb726bd5 · outbound
This paper cites initial guess.
Achievable distributional robustness when the robust risk is only partially identified initial guess
Reference 64
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T11:28:00.373575Z
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.
Pith citing papers
No inbound Pith citation observations are available.