Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-11T18:06:13.131265Z
Paper Citation Record · LEDGER
How Does the Smoothness Approximation Method Facilitate Generalization for Federated Adversarial Learning?
As of 13 August 2026, this Paper Citation Record lists 66 of 66 outbound references and 0 inbound Pith citation observations for arXiv:2412.08282.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
66 of 66 outbound references displayed
- verified exact5
- verified fuzzy2
- unresolved59
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 8c3643b7-fd96-4c50-9959-0ba25b89b327 · outbound
This paper cites an unresolved cited work.
How Does the Smoothness Approximation Method Facilitate Generalization for Federated Adversarial Learning? Unresolved cited work
Reference 1
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T18:06:14.884927Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation edc02912-94e1-4ee0-a727-a00c5c5da67f · outbound
This paper cites an unresolved cited work.
How Does the Smoothness Approximation Method Facilitate Generalization for Federated Adversarial Learning? Unresolved cited work
Reference 2
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T18:06:14.867971Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation a50d547d-ad20-4f49-8c9e-41fbaa039d2a · outbound
This paper cites an unresolved cited work.
How Does the Smoothness Approximation Method Facilitate Generalization for Federated Adversarial Learning? Unresolved cited work
Reference 3
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T18:06:14.852080Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation fadeb268-3665-4285-9634-fd66f6fd1421 · outbound
This paper cites an unresolved cited work.
How Does the Smoothness Approximation Method Facilitate Generalization for Federated Adversarial Learning? Unresolved cited work
Reference 4
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 32030c41-b12d-4460-936e-0744af1e7433 · outbound
This paper cites an unresolved cited work.
How Does the Smoothness Approximation Method Facilitate Generalization for Federated Adversarial Learning? Unresolved cited work
Reference 5
- Resolution
- unresolved
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 4e36834c-f322-4619-ab2b-c2595fea1f98 · outbound
This paper cites an unresolved cited work.
How Does the Smoothness Approximation Method Facilitate Generalization for Federated Adversarial Learning? Unresolved cited work
Reference 6
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T18:06:14.800407Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation a2eba34d-0df7-4fba-887a-e5f9fd208b75 · outbound
This paper cites an unresolved cited work.
How Does the Smoothness Approximation Method Facilitate Generalization for Federated Adversarial Learning? Unresolved cited work
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T18:06:12.766617Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4729e470-f395-478d-add1-e86d37bdfc9b · outbound
This paper cites an unresolved cited work.
How Does the Smoothness Approximation Method Facilitate Generalization for Federated Adversarial Learning? Unresolved cited work
Reference 8
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T18:06:14.762528Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation d22b6055-ca36-422a-9816-b09a796950b2 · outbound
This paper cites Stability and Generalization in Free Adversarial Training.
How Does the Smoothness Approximation Method Facilitate Generalization for Federated Adversarial Learning? Stability and Generalization in Free Adversarial Training
Reference 9
- Resolution
- verified exact
- local_arxiv, observed 2026-08-11T18:06:13.873220Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 1165fcd0-4ebc-4311-8f32-c17a56ffcec4 · outbound
This paper cites an unresolved cited work.
How Does the Smoothness Approximation Method Facilitate Generalization for Federated Adversarial Learning? Unresolved cited work
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T18:06:12.784159Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f8de682f-ffff-46f0-b27c-58b47499ba9f · outbound
This paper cites an unresolved cited work.
How Does the Smoothness Approximation Method Facilitate Generalization for Federated Adversarial Learning? Unresolved cited work
Reference 11
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T18:06:14.732341Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 65ba8e51-c039-45dd-9dab-4b7210e47d1b · outbound
This paper cites C.; Bartlett, P.
How Does the Smoothness Approximation Method Facilitate Generalization for Federated Adversarial Learning? C.; Bartlett, P
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T18:06:14.707583Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation fd2cf41a-3ac2-4a04-ba3a-d1632c9bf08a · outbound
This paper cites Explaining and Harnessing Adversarial Examples.
How Does the Smoothness Approximation Method Facilitate Generalization for Federated Adversarial Learning? Explaining and Harnessing Adversarial Examples
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T18:06:12.803058Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8d47d7a5-e5cd-43ab-a5eb-97609ff3829e · outbound
This paper cites an unresolved cited work.
How Does the Smoothness Approximation Method Facilitate Generalization for Federated Adversarial Learning? Unresolved cited work
Reference 14
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T18:06:14.672217Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 45cca800-ab6d-4f09-b2ef-9748ac87e2cd · outbound
This paper cites an unresolved cited work.
How Does the Smoothness Approximation Method Facilitate Generalization for Federated Adversarial Learning? Unresolved cited work
Reference 15
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T18:06:14.656967Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 0ae4cd6e-6aa8-4a56-8440-a1627c9f5c57 · outbound
This paper cites Federated Robustness Propagation: Sharing Robustness in Heterogeneous Federated Learning.
How Does the Smoothness Approximation Method Facilitate Generalization for Federated Adversarial Learning? Federated Robustness Propagation: Sharing Robustness in Heterogeneous Federated Learning
Reference 16
- Resolution
- verified exact
- local_arxiv, observed 2026-08-11T18:06:13.822687Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 8e37ca4e-6588-4777-afd2-1f9ffb837f4a · outbound
This paper cites an unresolved cited work.
How Does the Smoothness Approximation Method Facilitate Generalization for Federated Adversarial Learning? Unresolved cited work
Reference 17
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T18:06:14.638529Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 6778cf26-b596-44b4-9858-6fd7ba7c24e7 · outbound
This paper cites an unresolved cited work.
How Does the Smoothness Approximation Method Facilitate Generalization for Federated Adversarial Learning? Unresolved cited work
Reference 18
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T18:06:14.620852Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 48edae6a-7b36-4bf8-8f69-c4d3886a2284 · outbound
This paper cites an unresolved cited work.
How Does the Smoothness Approximation Method Facilitate Generalization for Federated Adversarial Learning? Unresolved cited work
Reference 19
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T18:06:14.593275Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation c6a15500-fed3-4a2c-bea8-7e1ac0fd4b47 · outbound
This paper cites P.; Kale, S.; Mohri, M.; Reddi, S.; Stich, S.; and Suresh, A.
How Does the Smoothness Approximation Method Facilitate Generalization for Federated Adversarial Learning? P.; Kale, S.; Mohri, M.; Reddi, S.; Stich, S.; and Suresh, A
Reference 20
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 59d39f57-9f9d-4f76-86b5-4a487c187059 · outbound
This paper cites an unresolved cited work.
How Does the Smoothness Approximation Method Facilitate Generalization for Federated Adversarial Learning? Unresolved cited work
Reference 21
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T18:06:14.552663Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 5a20bfee-02a4-44d5-ae5f-c7b9a4006d04 · outbound
This paper cites an unresolved cited work.
How Does the Smoothness Approximation Method Facilitate Generalization for Federated Adversarial Learning? Unresolved cited work
Reference 22
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T18:06:14.532092Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 2bbddb2a-58dc-4970-9739-e769f3489345 · outbound
This paper cites an unresolved cited work.
How Does the Smoothness Approximation Method Facilitate Generalization for Federated Adversarial Learning? Unresolved cited work
Reference 23
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T18:06:14.510472Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 527ecf30-f11c-4b75-a631-88b0c61e78d6 · outbound
This paper cites an unresolved cited work.
How Does the Smoothness Approximation Method Facilitate Generalization for Federated Adversarial Learning? Unresolved cited work
Reference 24
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T18:06:14.481063Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 2b09ce4a-83cc-48aa-8980-a1337de7c701 · outbound
This paper cites an unresolved cited work.
How Does the Smoothness Approximation Method Facilitate Generalization for Federated Adversarial Learning? Unresolved cited work
Reference 25
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3d6f5ba9-8510-4994-80c6-8603e0f7ed9a · outbound
This paper cites an unresolved cited work.
How Does the Smoothness Approximation Method Facilitate Generalization for Federated Adversarial Learning? Unresolved cited work
Reference 26
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T18:06:14.461480Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation a2b339ed-6dd9-4ac8-afeb-bc3124c645af · outbound
This paper cites an unresolved cited work.
How Does the Smoothness Approximation Method Facilitate Generalization for Federated Adversarial Learning? Unresolved cited work
Reference 27
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T18:06:14.436586Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation ea3337ca-9855-4e60-a569-44f4275f41e0 · outbound
This paper cites an unresolved cited work.
How Does the Smoothness Approximation Method Facilitate Generalization for Federated Adversarial Learning? Unresolved cited work
Reference 28
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T18:06:14.414816Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation d9bfb39d-3705-46aa-82aa-5fb7cb31bc07 · outbound
This paper cites an unresolved cited work.
How Does the Smoothness Approximation Method Facilitate Generalization for Federated Adversarial Learning? Unresolved cited work
Reference 29
- Resolution
- unresolved
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation e00de9c8-7362-4a39-b4f1-e9a8575daedf · outbound
This paper cites an unresolved cited work.
How Does the Smoothness Approximation Method Facilitate Generalization for Federated Adversarial Learning? Unresolved cited work
Reference 30
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T18:06:14.377587Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation d80f5ac9-3b72-4420-8eba-5bfc83eabdc9 · outbound
This paper cites an unresolved cited work.
How Does the Smoothness Approximation Method Facilitate Generalization for Federated Adversarial Learning? Unresolved cited work
Reference 31
- Resolution
- unresolved
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation dd4325f9-bcb4-4cb7-b6d8-1dc6c795cd68 · outbound
This paper cites an unresolved cited work.
How Does the Smoothness Approximation Method Facilitate Generalization for Federated Adversarial Learning? Unresolved cited work
Reference 32
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2cd9e4a1-bcf5-42ae-bb45-18f04224c449 · outbound
This paper cites an unresolved cited work.
How Does the Smoothness Approximation Method Facilitate Generalization for Federated Adversarial Learning? Unresolved cited work
Reference 33
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 38943f22-f389-471c-8fe5-efae0dcfe45f · outbound
This paper cites an unresolved cited work.
How Does the Smoothness Approximation Method Facilitate Generalization for Federated Adversarial Learning? Unresolved cited work
Reference 34
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T18:06:14.290279Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation a016a232-9b39-4b40-856c-e280171f00ce · outbound
This paper cites Y.; et al.
Reference 35
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 12b9da84-b3d7-44ea-b6dc-ce5871f08d0f · outbound
This paper cites an unresolved cited work.
How Does the Smoothness Approximation Method Facilitate Generalization for Federated Adversarial Learning? Unresolved cited work
Reference 36
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T18:06:14.260375Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 092dce66-0c79-420a-a410-938983b53104 · outbound
This paper cites an unresolved cited work.
How Does the Smoothness Approximation Method Facilitate Generalization for Federated Adversarial Learning? Unresolved cited work
Reference 37
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T18:06:14.241137Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation aa107136-365f-400e-bb5f-ed40cc60d20e · outbound
This paper cites an unresolved cited work.
How Does the Smoothness Approximation Method Facilitate Generalization for Federated Adversarial Learning? Unresolved cited work
Reference 38
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T18:06:14.216811Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation a48a5dc1-9318-411b-ba27-1cbc1ec65cb7 · outbound
This paper cites Adaptive Federated Optimization.
How Does the Smoothness Approximation Method Facilitate Generalization for Federated Adversarial Learning? Adaptive Federated Optimization
Reference 39
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T18:06:12.969570Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ed1be2f0-8d8a-40d8-8084-277b7af8acdd · outbound
This paper cites an unresolved cited work.
How Does the Smoothness Approximation Method Facilitate Generalization for Federated Adversarial Learning? Unresolved cited work
Reference 40
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T18:06:14.193267Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation b79aedc7-79f9-42f0-9e2b-986ce58dae96 · outbound
This paper cites an unresolved cited work.
How Does the Smoothness Approximation Method Facilitate Generalization for Federated Adversarial Learning? Unresolved cited work
Reference 41
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T18:06:14.176161Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation f4032e61-7ca7-487b-aba8-8bb5251027ec · outbound
This paper cites Learning while Respecting Privacy and Robustness to Distributional Uncertainties and Adversarial Data.
How Does the Smoothness Approximation Method Facilitate Generalization for Federated Adversarial Learning? Learning while Respecting Privacy and Robustness to Distributional Uncertainties and Adversarial Data
Reference 42
- Resolution
- verified exact
- local_arxiv, observed 2026-08-11T18:06:13.650941Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 4ce9a904-2aea-4b40-b517-f1825bb32887 · outbound
This paper cites an unresolved cited work.
How Does the Smoothness Approximation Method Facilitate Generalization for Federated Adversarial Learning? Unresolved cited work
Reference 43
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T18:06:14.155947Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 6ad3986b-0f95-41e4-9cbb-468f387df028 · outbound
This paper cites Adversarial training in communication constrained federated learning.
How Does the Smoothness Approximation Method Facilitate Generalization for Federated Adversarial Learning? Adversarial training in communication constrained federated learning
Reference 44
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T18:06:12.997128Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 69201047-44c6-4d6e-ad8d-dc21563967ec · outbound
This paper cites an unresolved cited work.
How Does the Smoothness Approximation Method Facilitate Generalization for Federated Adversarial Learning? Unresolved cited work
Reference 45
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T18:06:14.140416Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation ecd66324-4550-440a-bd6c-ff32ac075a7e · outbound
This paper cites SAT: Improving Adversarial Training via Curriculum-Based Loss Smoothing.
How Does the Smoothness Approximation Method Facilitate Generalization for Federated Adversarial Learning? SAT: Improving Adversarial Training via Curriculum-Based Loss Smoothing
Reference 46
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T18:06:13.006615Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1f279a58-2ada-482a-b9a4-324df45c1968 · outbound
This paper cites Understanding Generalization of Federated Learning via Stability: Heterogeneity Matters.
How Does the Smoothness Approximation Method Facilitate Generalization for Federated Adversarial Learning? Understanding Generalization of Federated Learning via Stability: Heterogeneity Matters
Reference 47
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T18:06:13.012111Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 68771c90-ad4d-4e91-abcb-01f276488f25 · outbound
This paper cites an unresolved cited work.
How Does the Smoothness Approximation Method Facilitate Generalization for Federated Adversarial Learning? Unresolved cited work
Reference 48
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T18:06:14.124916Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation b5b97116-8a27-49cf-be95-ef6b2f1e7316 · outbound
This paper cites Intriguing properties of neural networks.
How Does the Smoothness Approximation Method Facilitate Generalization for Federated Adversarial Learning? Intriguing properties of neural networks
Reference 49
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T18:06:13.022328Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4418daa9-1f7a-4945-a2bb-11c0ea8a0b1d · outbound
This paper cites A.; ter Braak, C.
How Does the Smoothness Approximation Method Facilitate Generalization for Federated Adversarial Learning? A.; ter Braak, C
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T18:06:14.108146Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 80be4bd5-f606-4f77-ad38-67be797a309c · outbound
This paper cites an unresolved cited work.
How Does the Smoothness Approximation Method Facilitate Generalization for Federated Adversarial Learning? Unresolved cited work
Reference 51
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T18:06:14.090452Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 5041dcf8-30ef-45d0-95e6-9ad9a1a0c9c8 · outbound
This paper cites Generalization Guarantees of Gradient Descent for Multi-Layer Neural Networks.
How Does the Smoothness Approximation Method Facilitate Generalization for Federated Adversarial Learning? Generalization Guarantees of Gradient Descent for Multi-Layer Neural Networks
Reference 52
- Resolution
- verified exact
- local_arxiv, observed 2026-08-11T18:06:13.259522Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation d0fbdc97-e13c-4e59-9325-17e831f14631 · outbound
This paper cites an unresolved cited work.
How Does the Smoothness Approximation Method Facilitate Generalization for Federated Adversarial Learning? Unresolved cited work
Reference 53
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T18:06:14.067441Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 44448a00-1c8c-4353-9b35-67bead58dd15 · outbound
This paper cites an unresolved cited work.
How Does the Smoothness Approximation Method Facilitate Generalization for Federated Adversarial Learning? Unresolved cited work
Reference 54
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T18:06:14.049050Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation dcb2077a-8445-4e85-bdb7-c49f314e2e1d · outbound
This paper cites an unresolved cited work.
How Does the Smoothness Approximation Method Facilitate Generalization for Federated Adversarial Learning? Unresolved cited work
Reference 55
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T18:06:14.025326Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 74f33b9b-fedd-4ff8-8e5d-79ff8df74399 · outbound
This paper cites Smooth Adversarial Training.
How Does the Smoothness Approximation Method Facilitate Generalization for Federated Adversarial Learning? Smooth Adversarial Training
Reference 56
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T18:06:13.070414Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ad1bccbc-8952-4720-968d-f459cfc4f7f1 · outbound
This paper cites an unresolved cited work.
How Does the Smoothness Approximation Method Facilitate Generalization for Federated Adversarial Learning? Unresolved cited work
Reference 57
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T18:06:14.009790Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation cb72c315-fa80-4c87-9ce2-74d365bbfd2e · outbound
This paper cites an unresolved cited work.
How Does the Smoothness Approximation Method Facilitate Generalization for Federated Adversarial Learning? Unresolved cited work
Reference 58
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T18:06:13.988126Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 62258bd2-305a-48f9-8d97-bd4c1074029d · outbound
This paper cites an unresolved cited work.
How Does the Smoothness Approximation Method Facilitate Generalization for Federated Adversarial Learning? Unresolved cited work
Reference 59
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T18:06:13.971003Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation e69e2407-1fa2-4e63-b97f-73613d493420 · outbound
This paper cites an unresolved cited work.
How Does the Smoothness Approximation Method Facilitate Generalization for Federated Adversarial Learning? Unresolved cited work
Reference 60
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T18:06:13.952148Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation c323ab1e-0781-4f14-8b51-eb71b3ae8f98 · outbound
This paper cites an unresolved cited work.
How Does the Smoothness Approximation Method Facilitate Generalization for Federated Adversarial Learning? Unresolved cited work
Reference 61
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T18:06:13.934661Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation a2841c8a-b3d1-461f-a3bd-54a01c83d30a · outbound
This paper cites an unresolved cited work.
How Does the Smoothness Approximation Method Facilitate Generalization for Federated Adversarial Learning? Unresolved cited work
Reference 62
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T18:06:13.915672Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 5c7d4d90-0dbc-40ad-97e1-c49c72cba934 · outbound
This paper cites Combating Exacerbated Heterogeneity for Robust Models in Federated Learning.
How Does the Smoothness Approximation Method Facilitate Generalization for Federated Adversarial Learning? Combating Exacerbated Heterogeneity for Robust Models in Federated Learning
Reference 63
- Resolution
- verified exact
- local_arxiv, observed 2026-08-11T18:06:13.201876Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation b04ebc99-aad5-4aaa-817f-57c1e7e2378a · outbound
This paper cites FAT: Federated Adversarial Training.
How Does the Smoothness Approximation Method Facilitate Generalization for Federated Adversarial Learning? FAT: Federated Adversarial Training
Reference 64
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T18:06:13.118900Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0fcd0509-2e59-409a-a505-15c6404492e0 · outbound
This paper cites , " * write output.state after.block = add.period write newline.
How Does the Smoothness Approximation Method Facilitate Generalization for Federated Adversarial Learning? , " * write output.state after.block = add.period write newline
Reference 65
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T18:06:13.125945Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6e230e02-5358-4ec6-8efd-1f3062d56f4e · outbound
This paper cites write newline.
How Does the Smoothness Approximation Method Facilitate Generalization for Federated Adversarial Learning? write newline
Reference 66
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T18:06:13.131265Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
No inbound Pith citation observations are available.