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Paper Citation Record · LEDGER

Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability

As of 11 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 0 inbound Pith citation observations for arXiv:2506.07804.

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

pith.paper-citation-record.v1
2506.07804 v1

Coverage vector

measured 51 of 51 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:32:08.292783Z

measured 51 of 51 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

51 of 51 outbound references displayed

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  • verified fuzzy32
  • unresolved15
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3886f210-73f3-4fe6-bcae-55f916dfa0e9 · outbound

This paper cites write newline.

Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability write newline

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-07T05:32:04.594980Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:32:04.594980Z digest=sha256:966ac529e1a4c9757dc400ce6852c00dfd501a2969a44578930e1c7ab6d173b5

Observation d2a1ed17-9367-4a7b-9a2e-dbf81f30e861 · outbound

This paper cites Square attack: a query-efficient black-box adversarial attack via random search.

Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability Square attack: a query-efficient black-box adversarial attack via random search

Reference 2

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation ebb4dc45-77e8-421f-a2c1-8a6bea4a40f6 · outbound

This paper cites N., Bates, S., Jordan, M., and Malik, J.

Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability N., Bates, S., Jordan, M., and Malik, J

Reference 3

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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 2026-08-11T06:34:44.6726+00:00.

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Observation 4ae81991-6afd-468e-8b5b-5a4d75df3f5b · outbound

This paper cites an unresolved cited work.

Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability Unresolved cited work

Reference 4

Resolution
unresolved
raw_fallback, observed 2026-08-07T05:32:12.790587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T05:32:04.807413Z digest=sha256:6e2270ab1585e51a061eaa86c4223faa763ec33c3250cf65c0d7ab1a64992036

Observation 346c803f-a99f-44f8-bfda-272117b5503a · outbound

This paper cites and Hein, M.

Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability and Hein, M

Reference 5

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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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T05:32:04.875288Z digest=sha256:eef44fb2aac25d4a7c7b32386123fb096adcb1b4a6c200f3b6decab269b5935b

Observation b6be138b-dcc0-4c77-8d6d-e81a64340d65 · outbound

This paper cites Robustbench: a standardized adversarial robustness benchmark.

Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability Robustbench: a standardized adversarial robustness benchmark

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:32:12.768862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T05:32:04.939820Z digest=sha256:03d020c70103a4d49d81e869303d8b46e9a95c5cdbbd6a1fc588cf2da0ee7e4a

Observation ff2328a4-3830-408f-898f-36fc31aa218c · outbound

This paper cites Imagenet: A large-scale hierarchical image database.

Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability Imagenet: A large-scale hierarchical image database

Reference 7

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unresolved
no resolver link, observed 2026-08-07T05:32:04.989268Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:32:04.989268Z digest=sha256:aae4f0e250426ce7f959d6186b577cd69f895d7ccdcfb128da5996c81d4fb9b3

Observation ba5148f9-37b8-4c5d-a866-c106249e1f4e · outbound

This paper cites an unresolved cited work.

Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability Unresolved cited work

Reference 8

Resolution
unresolved
raw_fallback, observed 2026-08-07T05:32:12.749896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T05:32:05.076581Z digest=sha256:7ccff7df5c41d0f43ae531082d7d092e8c885aaebad36983360e9f0b59a44dd0

Observation c03ff40e-68b3-4adc-a84c-274017823d40 · outbound

This paper cites Label Noise Robustness of Conformal Prediction.

Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability Label Noise Robustness of Conformal Prediction

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-07T05:32:05.120047Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:32:05.120047Z digest=sha256:de7f7787fa4256def0bf4ab282a93a61c77813dab8f888d42a5023427db6ca5b

Observation bad37f9a-af72-422d-b597-cf23aa4de7fa · outbound

This paper cites Adversarially robust conformal prediction.

Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability Adversarially robust conformal prediction

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:32:12.616771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T05:32:05.161237Z digest=sha256:2e9564ffd730e9dbf602d26874b3caaad1451e59f8da8727c9714f475d9a8264

Observation 63f87db5-7ebc-414a-b326-2abf122e8328 · outbound

This paper cites Probabilistically robust conformal prediction.

Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability Probabilistically robust conformal prediction

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:32:12.470385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T05:32:05.228220Z digest=sha256:5f9e4af684d651e6795ca807c5d2711f78ec4d749626207da1d12df0558868c7

Observation 566d3fd4-738b-473d-b331-80a5dc9e838e · outbound

This paper cites Explaining and Harnessing Adversarial Examples.

Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability Explaining and Harnessing Adversarial Examples

Reference 12

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unresolved
no resolver link, observed 2026-08-07T05:32:05.282011Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:32:05.282011Z digest=sha256:05505de1f7d9c69665027d6ff7c82d02acee842e4ab69012d2fe3f9b5962d50a

Observation acf5e05d-fc8a-4054-bf76-5a4da01f953b · outbound

This paper cites and Verma, S.

Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability and Verma, S

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:32:12.304127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T05:32:05.318214Z digest=sha256:8f385a001d95e0c94941d6439006e4f9913843017612ae54dfd8add7af93b5ed

Observation 79469153-e6ad-4064-b1ee-3d499a7ec751 · outbound

This paper cites and Verma, S.

Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability and Verma, S

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:32:12.084916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T05:32:05.409905Z digest=sha256:69bf94ebba32d83e0dcf55bdfbd625ba012cfcfd3103839e8df14f5f68905490

Observation b82b832a-757f-476e-bb96-015fc79707a5 · outbound

This paper cites Deep residual learning for image recognition.

Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability Deep residual learning for image recognition

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:32:11.927958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T05:32:05.558738Z digest=sha256:62e9f6c27647a551513583c391140386a28734dd49c4b136cb983bc12c34d12d

Observation 25304c7f-18aa-4211-8a99-771484b59e12 · outbound

This paper cites Identity mappings in deep residual networks.

Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability Identity mappings in deep residual networks

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:32:11.768627Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T05:32:05.734733Z digest=sha256:e95c6c498d9cf3a88bb6122dbeb947ae3f17e0d5a6f913d1612591de72d5b6ce

Observation 254d6311-baa8-4cc5-8005-9bf8b6e5181c · outbound

This paper cites Verifiably Robust Conformal Prediction.

Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability Verifiably Robust Conformal Prediction

Reference 17

Resolution
verified exact
local_arxiv, observed 2026-08-07T05:32:09.004796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T05:32:05.840681Z digest=sha256:10a8a3afd6b411ada9fcb78efa1205cb06b58d35720f3fe1b1e6874e0d88f335

Observation ac23b893-0766-4139-82df-e7fc878f5f60 · outbound

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

Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability Learning multiple layers of features from tiny images

Reference 18

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unresolved
no resolver link, observed 2026-08-07T05:32:05.907605Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:32:05.907605Z digest=sha256:413a843acf20e51bedb80650759eba5a03cf8527429915fa9121a9c822361fde

Observation e031aba2-30e2-453d-8959-5bd510922871 · outbound

This paper cites Evaluating conformal prediction techniques in adversarial environments: A comparative study.

Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability Evaluating conformal prediction techniques in adversarial environments: A comparative study

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:32:11.624010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T05:32:05.956772Z digest=sha256:f5ff29a9fceb6de2e2d084a868543739bbd1b3efe8557cdb70dcc82025fa8570

Observation 0f62ec91-01d3-4938-8a69-3e77dc5254e6 · outbound

This paper cites Adversarial Machine Learning at Scale.

Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability Adversarial Machine Learning at Scale

Reference 20

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unresolved
no resolver link, observed 2026-08-07T05:32:06.003812Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:32:06.003812Z digest=sha256:db33a1bda5a71cdf07c894149d66a74862d72ff2dfc9b16bbf34280e8ece03db

Observation 84f8da2e-ef68-49fa-8899-7c61c4f4025c · outbound

This paper cites Data poisoning attacks against conformal prediction.

Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability Data poisoning attacks against conformal prediction

Reference 21

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verified fuzzy
raw_fallback, observed 2026-08-07T05:32:11.421728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T05:32:06.074011Z digest=sha256:e0e06196faac7770e0e8eb84a6f4df116cb807ef6f15a11960b4d4fa610d2563

Observation cf13f4d8-ef05-47be-aade-8b88698748c1 · outbound

This paper cites The Pitfalls and Promise of Conformal Inference Under Adversarial Attacks.

Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability The Pitfalls and Promise of Conformal Inference Under Adversarial Attacks

Reference 22

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verified exact
local_arxiv, observed 2026-08-07T05:32:08.852313Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T05:32:06.120673Z digest=sha256:566f539053bed4384e39bb3c2c479bd143716f4c6c6ef2e097648e5753309f4c

Observation 95c4a960-2c3f-4580-ac2e-384cc6cd8519 · outbound

This paper cites and Colombo, N.

Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability and Colombo, N

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:32:11.181858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T05:32:06.184726Z digest=sha256:f46a23787be21b3411410df6925052d4ed42c953d480acedec2375206a8b6d96

Observation cc7b85f7-8f8d-4a02-9ced-4e4a7ca7b965 · outbound

This paper cites and Colombo, N.

Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability and Colombo, N

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:32:10.995501Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T05:32:06.277017Z digest=sha256:8281077138de5210a461c043f5195cc05466ef1a19a563404920e6f84ea7b6ee

Observation f5e059c5-51e9-4dcc-86b6-3c9dfefbe188 · outbound

This paper cites Trustworthy Classification through Rank-Based Conformal Prediction Sets.

Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability Trustworthy Classification through Rank-Based Conformal Prediction Sets

Reference 25

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unresolved
no resolver link, observed 2026-08-07T05:32:06.327736Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:32:06.327736Z digest=sha256:10a4d8c79e9ee6ce9cef572302dac5471fa94253922d4cf282466505efae1e5f

Observation 464b5b60-c7f2-4581-a89a-04d2c3cb7637 · outbound

This paper cites and Zhou, Z.

Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability and Zhou, Z

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:32:10.840437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T05:32:06.395466Z digest=sha256:12ba7222dd157519024f9fd8e147a9672dc68487482f7c9ab783817769d931a2

Observation 276048e7-6a9c-424a-a111-d4df2fc9acfa · outbound

This paper cites and Zhou, Z.

Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability and Zhou, Z

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:32:10.769289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T05:32:06.453140Z digest=sha256:3b226a57f23138fb94b273b4a3df601ba33b43259d4df25997a9127a99088976

Observation 621ed099-7503-46c8-9b97-f4266ea34833 · outbound

This paper cites Conditional Conformal Risk Adaptation.

Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability Conditional Conformal Risk Adaptation

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-07T05:32:06.506767Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:32:06.506767Z digest=sha256:f8598a4440be143dc43e87ab345adfb7ecd2716661e6b8c7ec41fcfa64beda8e

Observation 18c9e544-a423-4327-974d-f094ea681e80 · outbound

This paper cites and Zhou, Z.

Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability and Zhou, Z

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:32:10.667343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T05:32:06.579063Z digest=sha256:b2dd90ebe7d1e4a235e4f880293a6571414a447137dbe9e4407bb55393f1a337

Observation 9f7fc5f9-dae4-470d-8c8a-4568c59775af · outbound

This paper cites and Zhou, Z.

Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability and Zhou, Z

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:32:10.562672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T05:32:06.646518Z digest=sha256:d69a43b60488ff439c1dfc4fe53452780d3f834bfcd4a1e52ae0e489298bc380

Observation 5e787ce3-ad7c-418a-81c6-a6da9742adae · outbound

This paper cites Volume-Sorted Prediction Set: Efficient Conformal Prediction for Multi-Target Regression.

Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability Volume-Sorted Prediction Set: Efficient Conformal Prediction for Multi-Target Regression

Reference 31

Resolution
verified exact
local_arxiv, observed 2026-08-07T05:32:08.736850Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T05:32:06.702633Z digest=sha256:75f620481af21bc3e6bb89ae1c5c1fbdac9370a8b44211181f3ac38781afd0ca

Observation befea224-2f12-4050-a4d3-18fccc285d96 · outbound

This paper cites Anomalous edge detection in edge exchangeable social network models.

Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability Anomalous edge detection in edge exchangeable social network models

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:32:10.489379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T05:32:06.816817Z digest=sha256:b12029f174444aa8fe7b33d4ab4114ef83363ec5cec26d835528122296d61df4

Observation 07d8ebb8-d4be-45ae-893a-a2d9092ccbc3 · outbound

This paper cites Game-Theoretic Defenses for Robust Conformal Prediction Against Adversarial Attacks in Medical Imaging.

Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability Game-Theoretic Defenses for Robust Conformal Prediction Against Adversarial Attacks in Medical Imaging

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-07T05:32:06.931044Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:32:06.931044Z digest=sha256:10e630fb0d3e5f1945bee31b14e2dc578b44d7dcceb27cf2178adc329525ac87

Observation f651d530-e96d-49c6-89cf-cc942d024b62 · outbound

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

Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability Towards deep learning models resistant to adversarial attacks

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:32:10.343038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T05:32:07.039524Z digest=sha256:f1f9bb804511c0db240c374ee9fd57eef0c53378872c83a49b543f9a5fdd9c91

Observation 9590c20d-97af-4f76-8078-3ffa728dca06 · outbound

This paper cites D., and Razaviyayn, M.

Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability D., and Razaviyayn, M

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:32:10.281682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T05:32:07.173266Z digest=sha256:2b715e9268e27c6e4b0e2c992945345caf4a028b56b0cf401d12281c24364956

Observation 494cbb4a-9e9c-4221-9a44-5f5368cae62a · outbound

This paper cites J., Hassani, H., and Cevher, V.

Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability J., Hassani, H., and Cevher, V

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:32:10.207663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T05:32:07.278383Z digest=sha256:c36662052cf93a5b220f252baa5e1d47777010e7a9a13aa6e60c956d208fe415

Observation 599e1025-e21d-4615-90a6-ef5fdced23c9 · outbound

This paper cites Classification with valid and adaptive coverage.

Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability Classification with valid and adaptive coverage

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:32:10.102149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T05:32:07.392556Z digest=sha256:84ea765d5ae5bdbf9c3b56cf937934eb4b631e6af08783c1c03de89fd1760bd0

Observation 5d3dcb6b-2868-4080-b9d3-6f488e87a59e · outbound

This paper cites Least ambiguous set-valued classifiers with bounded error levels.

Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability Least ambiguous set-valued classifiers with bounded error levels

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-07T05:32:07.505591Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:32:07.505591Z digest=sha256:c35de4ddb25c846ec44b3171a618f7c388ad78cf78f4f7b941bff7719dd502ac

Observation a3f98ec4-7e26-43f0-b79b-6cbaf2313b80 · outbound

This paper cites Learning Optimal Conformal Classifiers.

Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability Learning Optimal Conformal Classifiers

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-07T05:32:07.631863Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:32:07.631863Z digest=sha256:a618e282ac0e7d4e44f858f1e50bfac712a22ba3714f38a0a269beecfc944606

Observation 648a470c-e970-4ef8-b891-a1d011e5be5f · outbound

This paper cites Adaptive Conformal Inference by Particle Filtering under Hidden Markov Models.

Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability Adaptive Conformal Inference by Particle Filtering under Hidden Markov Models

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-07T05:32:07.696102Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:32:07.696102Z digest=sha256:1de43e0753e570ad9219cd675d8e6836772f61667412f34a61f177d6f27032ea

Observation 887424ac-a750-462c-b539-9f0f2423b55f · outbound

This paper cites Enhanced route planning with calibrated uncertainty set.

Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability Enhanced route planning with calibrated uncertainty set

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:32:09.997889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T05:32:07.745328Z digest=sha256:d283dd3acdb1a365233b2b0b367377266208b9a95698ede97c341240ce0b9c5b

Observation 9cce481e-0495-4b7c-ba9f-c0064b636b57 · outbound

This paper cites Matching networks for one shot learning.

Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability Matching networks for one shot learning

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:32:09.919919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T05:32:07.795243Z digest=sha256:44e6ec43011b8a5414a3535becb545339b2c744c42b4ed8e11830eb22a890730

Observation f21e13ff-bf2a-44eb-9d55-49e92518bf1a · outbound

This paper cites Algorithmic learning in a random world, volume 29.

Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability Algorithmic learning in a random world, volume 29

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:32:09.807749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T05:32:07.828585Z digest=sha256:fa7492e9a61d222fd3528128999e1a086205c929b385a3126476fc62ff47358b

Observation 18ffa5ad-12e2-4875-83ca-c50de1339637 · outbound

This paper cites Enhancing trustworthiness of graph neural networks with rank-based conformal training.

Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability Enhancing trustworthiness of graph neural networks with rank-based conformal training

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:32:09.739552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T05:32:07.897960Z digest=sha256:a71c08553932a15ac49e4d44c5afdae2434fa4c06b79f376972f6e229b2dd434

Observation 6617d9ca-7131-4630-b33e-dc3b6f309c6c · outbound

This paper cites Improving adversarial robustness requires revisiting misclassified examples.

Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability Improving adversarial robustness requires revisiting misclassified examples

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:32:09.695050Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T05:32:07.943182Z digest=sha256:c32d2e4bc475a1626a3fc9989120396893d2637dad4dc7f89a2757f9cc307f6a

Observation 32cf022c-6710-4cf1-a621-c375aef3f27d · outbound

This paper cites Provably Robust Conformal Prediction with Improved Efficiency.

Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability Provably Robust Conformal Prediction with Improved Efficiency

Reference 46

Resolution
verified exact
local_arxiv, observed 2026-08-07T05:32:08.496986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T05:32:07.995254Z digest=sha256:21f12c155ddab55c4447986ca7f6846d13c458f26cb376890f50687b10ce4428

Observation d49fec4b-a660-475f-a928-d262f2cd7eb3 · outbound

This paper cites Robust Yet Efficient Conformal Prediction Sets.

Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability Robust Yet Efficient Conformal Prediction Sets

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-07T05:32:08.045536Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:32:08.045536Z digest=sha256:08e64c91de1cbd9cbd33dd96db4573cf5cc500538dcf1a1f4b6203e493698ad4

Observation 14484154-8c7d-415d-9187-f356a65f680a · outbound

This paper cites Theoretically principled trade-off between robustness and accuracy.

Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability Theoretically principled trade-off between robustness and accuracy

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:32:09.626314Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T05:32:08.095401Z digest=sha256:001c119d19e17fd9e59a70f6949ef10e07d85c8b6ce68c36fea5708fdce87196

Observation 412798c7-4c8e-47d2-8d32-bfcddd6eab68 · outbound

This paper cites Deep neural network attacks and defense: The case of image classification.

Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability Deep neural network attacks and defense: The case of image classification

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:32:09.461356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T05:32:08.142828Z digest=sha256:96d79f42aefec5030b421fb11098d904f43cb2eeef1208a99e35beba19c58642

Observation 462ff4a5-53bd-4cbb-bb07-9967fe2b31c5 · outbound

This paper cites Attacks which do not kill training make adversarial learning stronger.

Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability Attacks which do not kill training make adversarial learning stronger

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:32:09.284221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T05:32:08.238720Z digest=sha256:e92dc8af808a53e57e35806e04406d2a6d47c4c7052d4b3d62e63196bb4fd4f9

Observation 81eb0a48-ddde-416c-aaf5-2bf88b67629f · outbound

This paper cites Residual reweighted conformal prediction for graph neural networks.

Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability Residual reweighted conformal prediction for graph neural networks

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:32:09.132948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T05:32:08.292783Z digest=sha256:a16c902e47fc3b63b40f1bfe6335445fc98432af92e634036880c293c3328925

Pith citing papers

No inbound Pith citation observations are available.