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Paper Citation Record · LEDGER

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

As of 19 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 2026-08-19T06:32:44.657259+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
  • parse uncertain0
  • malformed identifier0
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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

Unavailable: canonical work link unavailable.

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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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-09T17:00:50.773634Z digest=sha256:fa8e8b4f472a3106ea208223bbadcf782a221794f5ea235a82cebee2aaa7e35e

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-09T17:00:50.779255Z digest=sha256:8d883070d5c8f5058c6fbfffe8685a25e264813bf32c73a1bfe3069c0fa73ae1

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

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-09T17:00:50.784314Z digest=sha256:b9742afdfcb0aad8322c3aec1f79d77fdfc421b395ca170ea61b0e4c6fb79f70

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T17:00:50.789117Z digest=sha256:0433747e1f79b3547e1fa97bf30222802b996257d1f98bdb402f3d1f1e8edfe7

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

This paper cites an unresolved cited work.

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

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T17:00:50.798657Z digest=sha256:3d258beffadfbfae9de2625c633f77dea3088e06208a4f65185786597cc3e9e1

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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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 2026-08-19T06:32:44.657259+00:00.

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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

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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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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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-09T17:00:50.816153Z digest=sha256:49c9a30636f757df3d6cbb60b89baa7ec155e5295466a5f3343bb53357fc74ee

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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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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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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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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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

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-09T17:00:50.828943Z digest=sha256:2a919f0e675800ed7d380b2fc4f7ac83de8d77c2b66d4dbb34d4ebc17bac2957

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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Source-reported events for the cited work

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Observation 081d8d89-24f0-4efa-addc-8e097d9a1f26 · outbound

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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

This paper cites an unresolved cited work.

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

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation fbb8622c-e9dd-4ee0-8443-d1dc8c8de8cd · outbound

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 365ebcf2-2fdd-40ae-8909-27dfcc9f3972 · outbound

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

Reference 25

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation c9e401d7-371b-46fd-b468-d38b9e54d311 · outbound

This paper cites Learning multiple layers of features from tiny images, 2009.

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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

This paper cites an unresolved cited work.

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

Reference 28

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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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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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-09T17:00:50.886750Z digest=sha256:709c21b49d28e41e5bacfc2a19e9848d6dfef908a82ef1912a5d1ce857016d7c

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T17:00:50.890924Z digest=sha256:503f304f1d27442ab5354de2330dd3ba8dde2b1e539d86714b7aee5dec57c5ca

Observation d95e3e68-aba3-41b9-b774-dde629e67a2b · outbound

This paper cites Two-stage learning to defer with multiple experts.

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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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-09T17:00:50.895236Z digest=sha256:a98009e073cbb534b6798ba5084d169dc2ebea6389d20a21f148e50a170e71be

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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-09T17:00:50.899691Z digest=sha256:1029b1ae92cf29d63581a10e86d9634b831a2f79d43b2b7928aebeb2a902d88f

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

This paper cites H-consistency bounds: Characterization and extensions.

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

Reference 33

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-09T17:00:50.904139Z digest=sha256:5e07ce7471ed9665e6290dc37ff436eb9c3bf2ef382279483b1838d3b2f54340

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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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-09T17:00:50.908687Z digest=sha256:f6d6e5066e1a588e373f79fc001b3db19494aa7954fdc99e5c25b83971972934

Observation cf80a920-cc1a-4b98-880e-cbeeab1e1ffc · outbound

This paper cites Multi-label learning with stronger consistency guarantees.

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

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T17:00:51.884752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-09T17:00:50.913062Z digest=sha256:938e56f0bbb43a1948c1edc879ae63294d2e621be470bc927d25694d720109be

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

This paper cites Realizable h-consistent and bayes-consistent loss functions for learning to defer.

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-09T17:00:50.917829Z digest=sha256:e3dc3750b75ebb8a5d7c2ac62d9c3902f300330a9994041c23d3bd2d887fd46f

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

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-09T17:00:50.922252Z digest=sha256:8013ef478c1e3622dc4565fc0195c17f515b27f10f4e0a9e84f5868746a8aa04

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

This paper cites A universal growth rate for learning with smooth surrogate losses.

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

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T17:00:51.841456Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-09T17:00:50.929848Z digest=sha256:60c647a8d371275a038fe43c2c4069fb7c21d58e4872d67b02af21c56832411b

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-09T17:00:50.936057Z digest=sha256:1e28e2ae08b6c1d7ff6876c25871b62d1850491d1fd85511a2d58cc3e6381395

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-09T17:00:50.940313Z digest=sha256:9503f86e5b6a331404dc931ffbd7501fdde107ff2cee6fe7e7d7e83724886186

Observation b906bcf4-6011-42fc-90ba-0f5edd3ef227 · outbound

This paper cites Principled algorithms for optimizing generalized metrics in binary classification.

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

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T17:00:51.797516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-09T17:00:50.944512Z digest=sha256:f121356158d2727658acb81bd77156ffa56fdfe3931a7c5310bde955e05c4976

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-09T17:00:50.948676Z digest=sha256:3aa719906b9f09c841c4a615a712e2a949506af34effd0d9989d78a32eab732d

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

This paper cites Foundations of machine learning.

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-09T17:00:50.952911Z digest=sha256:62017039fe0ee268d745b448734a0be6a4d3c31973975ab8291121c841daf1ce

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

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-09T17:00:50.957280Z digest=sha256:51c33976ff4fe5a26c1f563d8131e6115f00ee28dd24bb3f80f7b5f6a4e58610

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

This paper cites X., and Ooi, W.

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

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-09T17:00:50.961656Z digest=sha256:932f895f9b75a6fdafec12c5c0110b62699823a4e63704e62227648a727286c5

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-09T17:00:50.966126Z digest=sha256:7337c1485952c49e434c8a8f47e13a73b1775bdce5eb2287d4bd17cd9546ef9a

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-09T17:00:50.970483Z digest=sha256:c51d2edfaa6ef53b13c52e01e696cde0d501877808a89059887360d366fb6e59

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-09T17:00:50.974858Z digest=sha256:aee8ea3a335c45d81cae5041960640358b10b54ff0fae7a8b99816804b2740a9

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

This paper cites an unresolved cited work.

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

Reference 49

Resolution
unresolved
raw_fallback, observed 2026-08-09T17:00:51.680659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-09T17:00:50.979744Z digest=sha256:fa309aceff6512c00880437714fee72f133aad9d5817701955f3bf8f65c7982c

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-09T17:00:50.984232Z digest=sha256:12368f69d315886c54f03ed3532d878940469888a5f455960cf1649b3421b4a5

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-09T17:00:50.988484Z digest=sha256:e306a656b8692feea5fa4add65947407b24a75255dbb65bdf8c92c6a2abe0fb0

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-09T17:00:50.994142Z digest=sha256:fab689787371fb117daa86fe188e3e27372a02061de5fb1d8d54a0f520c0430a

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-09T17:00:50.998600Z digest=sha256:8b4eafbd1f0ba3cdb295987924ceb04a58200bbe2484dcaab047c1c4fbb86b8d

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-09T17:00:51.002984Z digest=sha256:67007a552c05b2e54188031a8ebb897c6c99cc3e6147b269775161eb4ec17173

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-09T17:00:51.007420Z digest=sha256:1f456a82f1625a23f044a18c41f525320a80156f43649d512a19ec437948997c

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-09T17:00:51.011897Z digest=sha256:715143a574d735932d5171aac4ec7faa8b737ed6e1f658c17ff9e40721c59988

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-09T17:00:51.017010Z digest=sha256:89f54ccbd80f55d1a072a4ddd692af520c7d14534c847c56d1c17098c0df29df

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-09T17:00:51.021568Z digest=sha256:99b17a5d4165d77282cd63d32f03ec58a26f4fed5c13c2c952df5bc186b78fc1

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-09T17:00:51.026031Z digest=sha256:2ca03aa37a9adbea5cfd670667bc4f98224459a14a3e1c489188edc820bc92a5

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-09T17:00:51.030911Z digest=sha256:4dd0b255962439a1a98aa4256f6a58ed21677005aff65051a062ef15b21cbc34

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.

source=arxiv_source observed=2026-08-09T17:00:51.035654Z digest=sha256:bbf8e0d99a3cd9e20d24911631cb442feab4f416521678c20991696db6d55d0c

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-09T17:00:51.040307Z digest=sha256:ebf3b101b83b51b32335bf8bc5878feac562cc1bb56ebce3f7089fc888565b10

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-09T17:00:51.044964Z digest=sha256:aba4db39ee51d50aafe713e80fd97dbe0c1f5caeaa06339e75c58a7a03022341

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-05-23T18:49:39.718108Z digest=sha256:ce0ee0219b192281c75c6997427a80fa94e26254aff1d613087d2087e9f467ba

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.

source=arxiv_source observed=2026-08-07T23:48:01.085330Z digest=sha256:0fc5c8c9dd2da6f27765d641ab34afe72bf049eba204666a66177c86498e14de

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-21T20:50:49.125067Z digest=sha256:1983de0cfe5e1c4da961a9acdd554081868576716e5bc916275eda8a702b9a66

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.

source=pdf_text observed=2026-08-04T10:16:31.869099Z digest=sha256:27618d73d1292c1051b408a53a329d0a13a0061d1a9a1aa4cec2b4266d7bff31