Paper Citation Record · LEDGER

Adversarial Robustness in Two-Stage Learning-to-Defer: Algorithms and Guarantees

As of 10 August 2026, this Paper Citation Record lists 63 of 63 outbound references and 4 inbound Pith citation observations for arXiv:2502.01027.

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

pith.paper-citation-record.v1
2502.01027 v4

Coverage vector

measured 63 of 63 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T17:00:51.044964Z

measured 67 of 67 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T23:48:01.085330Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T18:53:21.449284Z

Reference resolution

63 of 63 outbound references displayed

verified exact1
verified fuzzy45
unresolved17
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9f9eb8ab-df9d-4b52-a071-5c1e1f013629 · outbound

This paper cites write newline.

Adversarial Robustness in Two-Stage Learning-to-Defer: Algorithms and Guarantees write newline

Reference 1

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Source-reported events for the cited work

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Observation bc53587b-e64d-4a85-8ce5-9cd89d4176bb · outbound

This paper cites and Mian, A.

Adversarial Robustness in Two-Stage Learning-to-Defer: Algorithms and Guarantees and Mian, A

Reference 2

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Observation f5def455-ec0c-48b3-b307-dba192efe55d · outbound

This paper cites Calibration and consistency of adversarial surrogate losses.

Adversarial Robustness in Two-Stage Learning-to-Defer: Algorithms and Guarantees Calibration and consistency of adversarial surrogate losses

Reference 3

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Observation 5edcefec-4be1-4009-9d6c-66f5fa24e61b · outbound

This paper cites Multi-class h-consistency bounds.

Adversarial Robustness in Two-Stage Learning-to-Defer: Algorithms and Guarantees Multi-class h-consistency bounds

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:00:52.249431Z

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Observation d88eee4e-c34b-4502-972a-0ef698bd4553 · outbound

This paper cites Theoretically grounded loss functions and algorithms for adversarial robustness.

Adversarial Robustness in Two-Stage Learning-to-Defer: Algorithms and Guarantees Theoretically grounded loss functions and algorithms for adversarial robustness

Reference 5

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Observation 4bb8a6a5-1a91-4da7-9e99-732eb3a4ac21 · outbound

This paper cites Calibrated surrogate losses for adversarially robust classification.

Adversarial Robustness in Two-Stage Learning-to-Defer: Algorithms and Guarantees Calibrated surrogate losses for adversarially robust classification

Reference 6

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Source-reported events for the cited work

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Observation 718c565a-4001-40d4-b1ed-2109b789e2e9 · outbound

This paper cites Convexity, classification, and risk bounds.

Adversarial Robustness in Two-Stage Learning-to-Defer: Algorithms and Guarantees Convexity, classification, and risk bounds

Reference 7

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Observation 74d8bcf0-55e1-4e97-adae-228b73844081 · outbound

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Adversarial Robustness in Two-Stage Learning-to-Defer: Algorithms and Guarantees Unresolved cited work

Reference 8

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Source-reported events for the cited work

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Observation 39479f5d-9240-478b-9e3c-bdf1a8d33411 · outbound

This paper cites Evasion Attacks against Machine Learning at Test Time, pp.\ 387–402.

Adversarial Robustness in Two-Stage Learning-to-Defer: Algorithms and Guarantees Evasion Attacks against Machine Learning at Test Time, pp.\ 387–402

Reference 9

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Observation f6c55589-9cd1-4e12-a43f-30fba666fc53 · outbound

This paper cites In defense of softmax parametrization for calibrated and consistent learning to defer.

Adversarial Robustness in Two-Stage Learning-to-Defer: Algorithms and Guarantees In defense of softmax parametrization for calibrated and consistent learning to defer

Reference 10

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Observation 789cc601-971a-427e-8777-fad5c9bc8564 · outbound

This paper cites A survey on adversarial attacks and defences.

Adversarial Robustness in Two-Stage Learning-to-Defer: Algorithms and Guarantees A survey on adversarial attacks and defences

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9c4bdc44-ab5d-4a25-a9de-7232c9349ddb · outbound

This paper cites A., and Samadi, S.

Adversarial Robustness in Two-Stage Learning-to-Defer: Algorithms and Guarantees A., and Samadi, S

Reference 12

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Source-reported events for the cited work

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Observation 82ef07c4-d93f-4223-8cc7-9f4eb7ecb2d5 · outbound

This paper cites On optimum recognition error and reject tradeoff.

Adversarial Robustness in Two-Stage Learning-to-Defer: Algorithms and Guarantees On optimum recognition error and reject tradeoff

Reference 13

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Observation e190d1e9-8ee2-4444-bad2-420c7dda09fe · outbound

This paper cites Learning with rejection.

Adversarial Robustness in Two-Stage Learning-to-Defer: Algorithms and Guarantees Learning with rejection

Reference 14

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Observation 0d20e24e-e591-4260-bfed-f68473e0b78b · outbound

This paper cites Cardinality-aware set prediction and top- k classification.

Adversarial Robustness in Two-Stage Learning-to-Defer: Algorithms and Guarantees Cardinality-aware set prediction and top- k classification

Reference 15

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Source-reported events for the cited work

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Observation 19b0ba5a-70cd-4bbf-9cc0-0601e8c37b18 · outbound

This paper cites Balancing the scales: A theoretical and algorithmic framework for learning from imbalanced data.

Adversarial Robustness in Two-Stage Learning-to-Defer: Algorithms and Guarantees Balancing the scales: A theoretical and algorithmic framework for learning from imbalanced data

Reference 16

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Source-reported events for the cited work

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Observation e039acbb-5925-4307-a283-de286a65c2dd · outbound

This paper cites The pascal visual object classes (voc) challenge.

Adversarial Robustness in Two-Stage Learning-to-Defer: Algorithms and Guarantees The pascal visual object classes (voc) challenge

Reference 17

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This paper cites and El - Yaniv, R.

Adversarial Robustness in Two-Stage Learning-to-Defer: Algorithms and Guarantees and El - Yaniv, R

Reference 18

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Observation 4a6aa85d-9417-4c4e-8e81-0e1ec53340b7 · outbound

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Adversarial Robustness in Two-Stage Learning-to-Defer: Algorithms and Guarantees Unresolved cited work

Reference 19

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Observation 1178a019-53e2-4145-92ad-2179c38babe2 · outbound

This paper cites J., Shlens, J., and Szegedy, C.

Adversarial Robustness in Two-Stage Learning-to-Defer: Algorithms and Guarantees J., Shlens, J., and Szegedy, C

Reference 20

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Observation 74ffaae7-0726-4533-bf06-c5422ca5f466 · outbound

This paper cites Uncovering the Limits of Adversarial Training against Norm-Bounded Adversarial Examples.

Adversarial Robustness in Two-Stage Learning-to-Defer: Algorithms and Guarantees Uncovering the Limits of Adversarial Training against Norm-Bounded Adversarial Examples

Reference 21

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Observation 8225fb2d-1546-4128-a9ea-7e9e35c94884 · outbound

This paper cites Deep Residual Learning for Image Recognition.

Adversarial Robustness in Two-Stage Learning-to-Defer: Algorithms and Guarantees Deep Residual Learning for Image Recognition

Reference 22

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This paper cites G., Zhu, M., Chen, B., Kalenichenko, D., Wang, W., Weyand, T., Andreetto, M., and Adam, H.

Adversarial Robustness in Two-Stage Learning-to-Defer: Algorithms and Guarantees G., Zhu, M., Chen, B., Kalenichenko, D., Wang, W., Weyand, T., Andreetto, M., and Adam, H

Reference 23

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Observation 4fb30704-2fc0-47e3-99aa-653d81696604 · outbound

This paper cites and Barry, R.

Adversarial Robustness in Two-Stage Learning-to-Defer: Algorithms and Guarantees and Barry, R

Reference 24

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Adversarial Robustness in Two-Stage Learning-to-Defer: Algorithms and Guarantees Unresolved cited work

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Adversarial Robustness in Two-Stage Learning-to-Defer: Algorithms and Guarantees Learning multiple layers of features from tiny images, 2009

Reference 26

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Observation 77a74e67-20e6-420a-8e68-b056afbafe0b · outbound

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Adversarial Robustness in Two-Stage Learning-to-Defer: Algorithms and Guarantees Unresolved cited work

Reference 27

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Observation 11dbf8cf-e792-4969-8e57-83da4041ac6f · outbound

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Adversarial Robustness in Two-Stage Learning-to-Defer: Algorithms and Guarantees Unresolved cited work

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Observation 6ee65b5c-ed61-4539-91b9-da250df859ad · outbound

This paper cites Towards deep learning models resistant to adversarial attacks.

Adversarial Robustness in Two-Stage Learning-to-Defer: Algorithms and Guarantees Towards deep learning models resistant to adversarial attacks

Reference 29

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Observation 114a804d-6006-40b0-b965-32e2573df7b4 · outbound

This paper cites Theory and Algorithms for Learning with Multi-Class Abstention and Multi-Expert Deferral.

Adversarial Robustness in Two-Stage Learning-to-Defer: Algorithms and Guarantees Theory and Algorithms for Learning with Multi-Class Abstention and Multi-Expert Deferral

Reference 30

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Adversarial Robustness in Two-Stage Learning-to-Defer: Algorithms and Guarantees Two-stage learning to defer with multiple experts

Reference 31

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Observation 4cfa8416-75ee-4492-91c5-b540ade182c9 · outbound

This paper cites Cross-entropy loss functions: Theoretical analysis and applications.

Adversarial Robustness in Two-Stage Learning-to-Defer: Algorithms and Guarantees Cross-entropy loss functions: Theoretical analysis and applications

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:00:51.929609Z

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Observation f19e2bf9-ae3a-47e7-b65e-cacf790658ba · outbound

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Adversarial Robustness in Two-Stage Learning-to-Defer: Algorithms and Guarantees H-consistency bounds: Characterization and extensions

Reference 33

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Observation 7e419617-9cd2-4146-9b11-6858ef8bc946 · outbound

This paper cites h -consistency guarantees for regression.

Adversarial Robustness in Two-Stage Learning-to-Defer: Algorithms and Guarantees h -consistency guarantees for regression

Reference 34

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Adversarial Robustness in Two-Stage Learning-to-Defer: Algorithms and Guarantees Multi-label learning with stronger consistency guarantees

Reference 35

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Observation 2337b424-0e68-45f3-99fd-d79e1668bcda · outbound

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Adversarial Robustness in Two-Stage Learning-to-Defer: Algorithms and Guarantees Realizable h-consistent and bayes-consistent loss functions for learning to defer

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:00:51.870467Z

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Observation e0b9380e-82be-4341-867d-36073742300a · outbound

This paper cites Regression with multi-expert deferral.

Adversarial Robustness in Two-Stage Learning-to-Defer: Algorithms and Guarantees Regression with multi-expert deferral

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:00:51.855716Z

Source-reported events for the cited work

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Observation b3e94083-ad58-4c26-9c77-274b20a89380 · outbound

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Adversarial Robustness in Two-Stage Learning-to-Defer: Algorithms and Guarantees A universal growth rate for learning with smooth surrogate losses

Reference 38

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Observation f6b64196-2499-4522-b964-def4ce0bb680 · outbound

This paper cites Mastering multiple-expert routing: Realizable \ h\ -consistency and strong guarantees for learning to defer.

Adversarial Robustness in Two-Stage Learning-to-Defer: Algorithms and Guarantees Mastering multiple-expert routing: Realizable \ h\ -consistency and strong guarantees for learning to defer

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:00:51.826892Z

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Observation 14e394f3-d3bf-41b5-8fd0-0771bd133c4d · outbound

This paper cites Enhanced \ h\ -consistency bounds.

Adversarial Robustness in Two-Stage Learning-to-Defer: Algorithms and Guarantees Enhanced \ h\ -consistency bounds

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:00:51.811903Z

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Adversarial Robustness in Two-Stage Learning-to-Defer: Algorithms and Guarantees Principled algorithms for optimizing generalized metrics in binary classification

Reference 41

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Observation 9bde7c96-d382-4bbc-a0ab-cf6c04f1cc62 · outbound

This paper cites Towards consistency in adversarial classification.

Adversarial Robustness in Two-Stage Learning-to-Defer: Algorithms and Guarantees Towards consistency in adversarial classification

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:00:51.782926Z

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Observation 3b4a14a1-63e1-48c5-9fba-468a5248dd5d · outbound

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Adversarial Robustness in Two-Stage Learning-to-Defer: Algorithms and Guarantees Foundations of machine learning

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:00:51.769229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1d52de2f-77b5-4dc6-a829-6cfb48b705d6 · outbound

This paper cites H., Carlier, A., Ng, L.

Adversarial Robustness in Two-Stage Learning-to-Defer: Algorithms and Guarantees H., Carlier, A., Ng, L

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:00:51.755438Z

Source-reported events for the cited work

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Observation 30d2722d-d87e-4c06-a48b-07d10df16d0c · outbound

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Adversarial Robustness in Two-Stage Learning-to-Defer: Algorithms and Guarantees X., and Ooi, W

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:00:51.741143Z

Source-reported events for the cited work

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Observation a39ba864-0316-447d-8b54-e0903a20690b · outbound

This paper cites X., and Ooi, W.

Adversarial Robustness in Two-Stage Learning-to-Defer: Algorithms and Guarantees X., and Ooi, W

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:00:51.726627Z

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Observation 6244354c-0f7a-415d-8dc8-3594a0cf4c07 · outbound

This paper cites S., Carlier, A., Ng, L.

Adversarial Robustness in Two-Stage Learning-to-Defer: Algorithms and Guarantees S., Carlier, A., Ng, L

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:00:51.711698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 04af085d-b62e-4045-ba18-10e8d1e813c2 · outbound

This paper cites and Sontag, D.

Adversarial Robustness in Two-Stage Learning-to-Defer: Algorithms and Guarantees and Sontag, D

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:00:51.694891Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b974afc6-12be-4ddb-8bd6-16855ff8a2c0 · outbound

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Adversarial Robustness in Two-Stage Learning-to-Defer: Algorithms and Guarantees Unresolved cited work

Reference 49

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Source-reported events for the cited work

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Observation 2f85d20b-e252-469b-b252-82a8fcdc6c59 · outbound

This paper cites K., Rawat, A.

Adversarial Robustness in Two-Stage Learning-to-Defer: Algorithms and Guarantees K., Rawat, A

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:00:51.666535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 87e91f32-e897-4368-9c77-498917d64364 · outbound

This paper cites an unresolved cited work.

Adversarial Robustness in Two-Stage Learning-to-Defer: Algorithms and Guarantees Unresolved cited work

Reference 51

Resolution: unresolved; raw_fallback, observed 2026-08-09T17:00:51.651517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 947da522-c398-465d-b01c-37624d7acbdd · outbound

This paper cites B., and Sun, J.

Adversarial Robustness in Two-Stage Learning-to-Defer: Algorithms and Guarantees B., and Sun, J

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:00:51.635953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 0f2a9dfc-9d3c-4197-9c35-c1fb27b0a35a · outbound

This paper cites How to compare different loss functions and their risks.

Adversarial Robustness in Two-Stage Learning-to-Defer: Algorithms and Guarantees How to compare different loss functions and their risks

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:00:51.620496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 639bf0da-05ae-4575-bd35-0153be94fd0f · outbound

This paper cites Towards human- AI collaboration in healthcare: Guided deferral systems with large language models.

Adversarial Robustness in Two-Stage Learning-to-Defer: Algorithms and Guarantees Towards human- AI collaboration in healthcare: Guided deferral systems with large language models

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:00:51.605187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d8c32e36-21bf-42ce-9fbe-872679f440b6 · outbound

This paper cites J., and Fergus, R.

Adversarial Robustness in Two-Stage Learning-to-Defer: Algorithms and Guarantees J., and Fergus, R

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:00:51.589036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f56dca2a-f115-484d-95d6-2b6218d9c9db · outbound

This paper cites and Bartlett, P.

Adversarial Robustness in Two-Stage Learning-to-Defer: Algorithms and Guarantees and Bartlett, P

Reference 56

Resolution: verified exact; doi, observed 2026-08-09T17:00:51.084226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 10540027-bc0a-4303-a16b-e7fc12225caa · outbound

This paper cites an unresolved cited work.

Adversarial Robustness in Two-Stage Learning-to-Defer: Algorithms and Guarantees Unresolved cited work

Reference 57

Resolution: unresolved; raw_fallback, observed 2026-08-09T17:00:51.573401Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 440b80a1-73d2-4a63-9fb7-10d4f3b87375 · outbound

This paper cites and Scott, C.

Adversarial Robustness in Two-Stage Learning-to-Defer: Algorithms and Guarantees and Scott, C

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:00:51.556953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ccde7cc2-e552-4f6c-91dd-ef606d6f15c1 · outbound

This paper cites and Watkins, C.

Adversarial Robustness in Two-Stage Learning-to-Defer: Algorithms and Guarantees and Watkins, C

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:00:51.541797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b4698066-23db-4a43-8cec-cf8bbb6805a0 · outbound

This paper cites and Agarwal, S.

Adversarial Robustness in Two-Stage Learning-to-Defer: Algorithms and Guarantees and Agarwal, S

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:00:51.526319Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ba27dd38-f1e6-47a3-a226-bb3cf92664d9 · outbound

This paper cites Statistical behavior and consistency of classification methods based on convex risk minimization.

Adversarial Robustness in Two-Stage Learning-to-Defer: Algorithms and Guarantees Statistical behavior and consistency of classification methods based on convex risk minimization

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-09T17:00:51.035654Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d5a984fc-fa65-4acf-8cd4-f075858a0c39 · outbound

This paper cites and Sabuncu, M.

Adversarial Robustness in Two-Stage Learning-to-Defer: Algorithms and Guarantees and Sabuncu, M

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:00:51.511049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 5f0be945-7ad8-4d10-bd7f-352939ddbf14 · outbound

This paper cites Fundamental Novel Consistency Theory: H-Consistency Bounds.

Adversarial Robustness in Two-Stage Learning-to-Defer: Algorithms and Guarantees Fundamental Novel Consistency Theory: H-Consistency Bounds

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:00:51.495066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Pith citing papers

Observation f7bab696-c21a-4347-b6c1-8b792cfca58d · inbound

Optimal Query Allocation in Extractive QA with LLMs: A Learning-to-Defer Framework with Theoretical Guarantees cites this paper.

Optimal Query Allocation in Extractive QA with LLMs: A Learning-to-Defer Framework with Theoretical Guarantees Adversarial Robustness in Two-Stage Learning-to-Defer: Algorithms and Guarantees

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-23T18:53:21.451849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a4b21bdb-d782-4c1c-a32b-8eea868ddebe · inbound

Universal Model Routing for Efficient LLM Inference cites this paper.

Universal Model Routing for Efficient LLM Inference Adversarial Robustness in Two-Stage Learning-to-Defer: Algorithms and Guarantees

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-07T23:48:01.085330Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a3108c32-9d96-4281-ba14-0cd22c0bad19 · inbound

Adversarial Robustness in One-Stage Learning-to-Defer cites this paper.

Adversarial Robustness in One-Stage Learning-to-Defer Adversarial Robustness in Two-Stage Learning-to-Defer: Algorithms and Guarantees

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-21T20:54:21.765005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 0c361849-4e79-484d-bec6-0a598fdcc890 · inbound

Adversarial Robustness in One-Stage Learning-to-Defer cites this paper.

Adversarial Robustness in One-Stage Learning-to-Defer Adversarial Robustness in Two-Stage Learning-to-Defer: Algorithms and Guarantees

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-04T10:16:31.869099Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.