Paper Citation Record · LEDGER

DaringFed: A Dynamic Bayesian Persuasion Pricing for Online Federated Learning under Two-sided Incomplete Information

As of 23 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2505.05842.

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

pith.paper-citation-record.v1
2505.05842 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:00:23.070412Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+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

36 of 36 outbound references displayed

verified exact0
verified fuzzy29
unresolved7
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation da1bd884-821c-40b3-9bef-d585b915df12 · outbound

This paper cites Communication-Efficient Learning of Deep Networks from Decentralized Data.Artificial Intelligence and Statistics, 54:273–1282,.

DaringFed: A Dynamic Bayesian Persuasion Pricing for Online Federated Learning under Two-sided Incomplete Information Communication-Efficient Learning of Deep Networks from Decentralized Data.Artificial Intelligence and Statistics, 54:273–1282,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:00:23.539525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 0e63a79e-8d30-45c9-96e6-9f0810df8112 · outbound

This paper cites The Data Value Based Asynchronous Federated Learning for UA V Swarm Under Unstable Com- munication Scenarios.IEEE Transactions on Mobile Com- puting, 23(6):7165-7179,.

DaringFed: A Dynamic Bayesian Persuasion Pricing for Online Federated Learning under Two-sided Incomplete Information The Data Value Based Asynchronous Federated Learning for UA V Swarm Under Unstable Com- munication Scenarios.IEEE Transactions on Mobile Com- puting, 23(6):7165-7179,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:00:23.504332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f39600c4-bf28-4ec2-bde6-52e4bef94344 · outbound

This paper cites Dynamic Pricing and Learning with Bayesian Persuasion.Proceedings of the Advances in Neural In- formation Processing Systems, pages 1-9, New Orleans, USA, December.

DaringFed: A Dynamic Bayesian Persuasion Pricing for Online Federated Learning under Two-sided Incomplete Information Dynamic Pricing and Learning with Bayesian Persuasion.Proceedings of the Advances in Neural In- formation Processing Systems, pages 1-9, New Orleans, USA, December

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:00:23.468492Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e1baa55c-e513-477d-866b-af70ee123eef · outbound

This paper cites Enhancing Federated Learning With Spectrum Allocation Optimiza- tion and Device Selection.IEEE/ACM Transactions on Networking, 31(5):1981-1996,.

DaringFed: A Dynamic Bayesian Persuasion Pricing for Online Federated Learning under Two-sided Incomplete Information Enhancing Federated Learning With Spectrum Allocation Optimiza- tion and Device Selection.IEEE/ACM Transactions on Networking, 31(5):1981-1996,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:00:23.443895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation eb5ff7a7-c9c3-4a46-847a-efd5fd73ba2f · outbound

This paper cites an unresolved cited work.

DaringFed: A Dynamic Bayesian Persuasion Pricing for Online Federated Learning under Two-sided Incomplete Information Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-08-15T23:00:23.431550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 4940a78a-7fcf-4b48-b697-5a97abc9924d · outbound

This paper cites Incentivizing Federated Learning under Long- Term Energy Constraint via Online Randomized Auc- tions.IEEE Transactions on Wireless Communications, 21(7):5129 - 5144,.

DaringFed: A Dynamic Bayesian Persuasion Pricing for Online Federated Learning under Two-sided Incomplete Information Incentivizing Federated Learning under Long- Term Energy Constraint via Online Randomized Auc- tions.IEEE Transactions on Wireless Communications, 21(7):5129 - 5144,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:00:23.419825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 39488ad2-2382-4734-9503-259c0ed94298 · outbound

This paper cites Chen, Peng Yang, and Yuezhi Zhou.

DaringFed: A Dynamic Bayesian Persuasion Pricing for Online Federated Learning under Two-sided Incomplete Information Chen, Peng Yang, and Yuezhi Zhou

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:00:23.396322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 1a258fdb-cc07-417d-9d3c-b963fc803f40 · outbound

This paper cites LoMar: A Local De- fense Against Poisoning Attack on Federated Learning.

DaringFed: A Dynamic Bayesian Persuasion Pricing for Online Federated Learning under Two-sided Incomplete Information LoMar: A Local De- fense Against Poisoning Attack on Federated Learning

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:00:23.383444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 067a96e1-7fc5-4e46-85d5-6648f1c076ed · outbound

This paper cites A Fair Classifier Using Kernel Density Es- timation.Proceedings of the Advances in Neural Infor- mation Processing Systems, pages 1-12, December.

DaringFed: A Dynamic Bayesian Persuasion Pricing for Online Federated Learning under Two-sided Incomplete Information A Fair Classifier Using Kernel Density Es- timation.Proceedings of the Advances in Neural Infor- mation Processing Systems, pages 1-12, December

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:00:23.371878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 3fc49189-fcd2-43de-bcfb-041daec2e267 · outbound

This paper cites [Zhaoet al., 2023 ] Yuxi Zhao, Xiaowen Gong, and Shiwen Mao.

DaringFed: A Dynamic Bayesian Persuasion Pricing for Online Federated Learning under Two-sided Incomplete Information [Zhaoet al., 2023 ] Yuxi Zhao, Xiaowen Gong, and Shiwen Mao

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:00:23.360229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a1b5d795-67b6-4be2-b693-68504f53bfdf · outbound

This paper cites [Huanget al., 2022 ] Guangjing Huang, Xu Chen, Tao Ouyang, Qian Ma, Lin Chen, and Junshan Zhang.

DaringFed: A Dynamic Bayesian Persuasion Pricing for Online Federated Learning under Two-sided Incomplete Information [Huanget al., 2022 ] Guangjing Huang, Xu Chen, Tao Ouyang, Qian Ma, Lin Chen, and Junshan Zhang

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:00:23.349078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 289321f0-e8f6-4a37-9242-9a0d17949b92 · outbound

This paper cites Bayesian Persuasion.American Economic Review, 101(6):2590–2615,.

DaringFed: A Dynamic Bayesian Persuasion Pricing for Online Federated Learning under Two-sided Incomplete Information Bayesian Persuasion.American Economic Review, 101(6):2590–2615,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:00:23.337914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f1ab2b79-d97d-4e75-a9ba-d7aca5558532 · outbound

This paper cites an unresolved cited work.

DaringFed: A Dynamic Bayesian Persuasion Pricing for Online Federated Learning under Two-sided Incomplete Information Unresolved cited work

Reference 21

Resolution: unresolved; raw_fallback, observed 2026-08-15T23:00:23.316118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a89c64f4-7679-4fa3-949c-6d2b3e269688 · outbound

This paper cites [Bergstromet al., 1986 ] Theodore Bergstrom, Lawrence Blume, and Hal Varian.

DaringFed: A Dynamic Bayesian Persuasion Pricing for Online Federated Learning under Two-sided Incomplete Information [Bergstromet al., 1986 ] Theodore Bergstrom, Lawrence Blume, and Hal Varian

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:00:23.304470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 70b42fe1-adc8-40c3-9641-6eccc9c4b136 · outbound

This paper cites Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms.

DaringFed: A Dynamic Bayesian Persuasion Pricing for Online Federated Learning under Two-sided Incomplete Information Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-15T23:00:23.024088Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b07e54a1-7704-414d-95ce-1dba6681ee0a · outbound

This paper cites LEAF: A Benchmark for Federated Settings.

DaringFed: A Dynamic Bayesian Persuasion Pricing for Online Federated Learning under Two-sided Incomplete Information LEAF: A Benchmark for Federated Settings

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-15T23:00:23.028307Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b55537fd-d7e6-45ab-b0ac-ef6562a8a523 · outbound

This paper cites Joint Participation Incentive and Network Pric- ing Design for Federated Learning.Proceedings of the IEEE Conference on Computer Communications, pages 1- 10, Rome, Italy, May.

DaringFed: A Dynamic Bayesian Persuasion Pricing for Online Federated Learning under Two-sided Incomplete Information Joint Participation Incentive and Network Pric- ing Design for Federated Learning.Proceedings of the IEEE Conference on Computer Communications, pages 1- 10, Rome, Italy, May

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:00:23.242767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 51b64bcc-eafd-4d1d-8997-21ab63d6073b · outbound

This paper cites [Huet al., 2022 ] Miao Hu, Di Wu, Yipeng Zhou, Xu Chen, and Min Chen.

DaringFed: A Dynamic Bayesian Persuasion Pricing for Online Federated Learning under Two-sided Incomplete Information [Huet al., 2022 ] Miao Hu, Di Wu, Yipeng Zhou, Xu Chen, and Min Chen

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:00:23.229884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 93ac3584-0243-43a6-83cb-f0be92daa28e · outbound

This paper cites Incentive Mechanism De- sign for Joint Resource Allocation in Blockchain-based Federated Learning.IEEE Transactions on Parallel and Distributed Systems, 34(5):1536-1547,.

DaringFed: A Dynamic Bayesian Persuasion Pricing for Online Federated Learning under Two-sided Incomplete Information Incentive Mechanism De- sign for Joint Resource Allocation in Blockchain-based Federated Learning.IEEE Transactions on Parallel and Distributed Systems, 34(5):1536-1547,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:00:23.214488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 12f5761b-ee3d-452f-a3c4-6c7e1773f202 · outbound

This paper cites AoI-aware Incen- tive Mechanism for Mobile Crowdsensing using Stack- elberg Game.Proceedings of the IEEE Conference on Computer Communications, pages 1-10, Rome, Italy, May.

DaringFed: A Dynamic Bayesian Persuasion Pricing for Online Federated Learning under Two-sided Incomplete Information AoI-aware Incen- tive Mechanism for Mobile Crowdsensing using Stack- elberg Game.Proceedings of the IEEE Conference on Computer Communications, pages 1-10, Rome, Italy, May

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:00:23.197839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 45808a48-1b2a-45da-aed9-ae7ea4ff84af · outbound

This paper cites [Mitraet al., 2021 ] Aritra Mitra, Hamed Hassani, and George J.

DaringFed: A Dynamic Bayesian Persuasion Pricing for Online Federated Learning under Two-sided Incomplete Information [Mitraet al., 2021 ] Aritra Mitra, Hamed Hassani, and George J

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:00:23.185390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a0a05b51-aed4-4ba7-8a08-318ed2162e01 · outbound

This paper cites [Panget al., 2023 ] Jinlong Pang, Jieling Yu, Ruiting Zhou, and John C.S.

DaringFed: A Dynamic Bayesian Persuasion Pricing for Online Federated Learning under Two-sided Incomplete Information [Panget al., 2023 ] Jinlong Pang, Jieling Yu, Ruiting Zhou, and John C.S

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:00:23.172509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 95a6579e-af91-4faa-ab02-5b6d4c765f1d · outbound

This paper cites an unresolved cited work.

DaringFed: A Dynamic Bayesian Persuasion Pricing for Online Federated Learning under Two-sided Incomplete Information Unresolved cited work

Reference 35

Resolution: unresolved; raw_fallback, observed 2026-08-15T23:00:23.159631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 7fd5ae99-2cdb-48d0-be61-5a2f671ec330 · outbound

This paper cites [Damaskinoset al., 2022 ] Georgios Damaskinos, Rachid Guerraoui, Anne-Marie Kermarrec, Vlad Nitu, Rhicheek Patra, and Francois Taiani.

DaringFed: A Dynamic Bayesian Persuasion Pricing for Online Federated Learning under Two-sided Incomplete Information [Damaskinoset al., 2022 ] Georgios Damaskinos, Rachid Guerraoui, Anne-Marie Kermarrec, Vlad Nitu, Rhicheek Patra, and Francois Taiani

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:00:23.146061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a6f95010-30fd-4bcc-abba-43fcdfc0f82e · outbound

This paper cites Convex Optimization.

DaringFed: A Dynamic Bayesian Persuasion Pricing for Online Federated Learning under Two-sided Incomplete Information Convex Optimization

Reference 1986

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:00:23.293616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b80650bc-d2e1-47d9-8e4b-27f505f337c4 · outbound

This paper cites MNIST Hand-written Digit Database.

DaringFed: A Dynamic Bayesian Persuasion Pricing for Online Federated Learning under Two-sided Incomplete Information MNIST Hand-written Digit Database

Reference 2004

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:00:23.282118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 39387ff2-6f37-4ce8-8ffc-3f9df9f46550 · outbound

This paper cites an unresolved cited work.

DaringFed: A Dynamic Bayesian Persuasion Pricing for Online Federated Learning under Two-sided Incomplete Information Unresolved cited work

Reference 2009

Resolution: unresolved; raw_fallback, observed 2026-08-15T23:00:23.256528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 978b8aa7-ac01-4061-a66a-4caf460aa9d1 · outbound

This paper cites Incentiviz- ing Proportional Fairness for Multi-Task Allocation in Crowdsensing.IEEE Transactions on Services Comput- ing, 17(3):990-1000,.

DaringFed: A Dynamic Bayesian Persuasion Pricing for Online Federated Learning under Two-sided Incomplete Information Incentiviz- ing Proportional Fairness for Multi-Task Allocation in Crowdsensing.IEEE Transactions on Services Comput- ing, 17(3):990-1000,

Reference 2011

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:00:23.326607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b0ba7080-b4ca-4f53-859e-4d87a611e5b5 · outbound

This paper cites Online Client Selection for Asynchronous Federated Learning With Fairness Consideration.IEEE Transactions on Wireless Communications, 22(4):2493-2506,.

DaringFed: A Dynamic Bayesian Persuasion Pricing for Online Federated Learning under Two-sided Incomplete Information Online Client Selection for Asynchronous Federated Learning With Fairness Consideration.IEEE Transactions on Wireless Communications, 22(4):2493-2506,

Reference 2017

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:00:23.527483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ed560d06-a146-4d94-bd35-cd8f3bc2b2ee · outbound

This paper cites Learning Multiple Layers of Features from Tiny Images.Technical Report,.

DaringFed: A Dynamic Bayesian Persuasion Pricing for Online Federated Learning under Two-sided Incomplete Information Learning Multiple Layers of Features from Tiny Images.Technical Report,

Reference 2018

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:00:23.270278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f26c1403-d996-41fa-a8df-fa285593d888 · outbound

This paper cites Asynchronous Online Federated Learning for Edge Devices with Non-IID Data.Proceed- ings of the IEEE International Conference on Big Data, pages 15–24, Atlanta, USA, December.

DaringFed: A Dynamic Bayesian Persuasion Pricing for Online Federated Learning under Two-sided Incomplete Information Asynchronous Online Federated Learning for Edge Devices with Non-IID Data.Proceed- ings of the IEEE International Conference on Big Data, pages 15–24, Atlanta, USA, December

Reference 2019

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:00:23.492337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation cf841eae-d5ce-4f44-9297-227242da26e2 · outbound

This paper cites [Donget al., 2023 ] Xuewen Dong, Zhichao You, Ximeng Liu, Yuanxiong Guo, Yulong Shen, and Yanmin Gong.

DaringFed: A Dynamic Bayesian Persuasion Pricing for Online Federated Learning under Two-sided Incomplete Information [Donget al., 2023 ] Xuewen Dong, Zhichao You, Ximeng Liu, Yuanxiong Guo, Yulong Shen, and Yanmin Gong

Reference 2020

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:00:23.480603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b6d53f44-14c4-4d4c-ac4c-f41e91780477 · outbound

This paper cites Optimal Contract Design for Efficient Fed- erated Learning With Multi-Dimensional Private Informa- tion.IEEE Journal on Selected Areas in Communications, 39(1):186-200,.

DaringFed: A Dynamic Bayesian Persuasion Pricing for Online Federated Learning under Two-sided Incomplete Information Optimal Contract Design for Efficient Fed- erated Learning With Multi-Dimensional Private Informa- tion.IEEE Journal on Selected Areas in Communications, 39(1):186-200,

Reference 2021

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:00:23.408085Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation c31c9aa5-0c93-4831-8a27-420fc4e316af · outbound

This paper cites Power of Redundancy: Surplus Client Scheduling for Federated Learning against User Uncertainties.IEEE Transactions on Mobile Com- puting, 22(9):5449-5462,.

DaringFed: A Dynamic Bayesian Persuasion Pricing for Online Federated Learning under Two-sided Incomplete Information Power of Redundancy: Surplus Client Scheduling for Federated Learning against User Uncertainties.IEEE Transactions on Mobile Com- puting, 22(9):5449-5462,

Reference 2022

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:00:23.515953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 5d66840a-d4e4-486b-b7dc-42a20fba3fcf · outbound

This paper cites Asynchronous Federated Optimization.

DaringFed: A Dynamic Bayesian Persuasion Pricing for Online Federated Learning under Two-sided Incomplete Information Asynchronous Federated Optimization

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-15T23:00:22.937323Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cce83168-2d58-48ca-8d85-f0f75afd43e0 · outbound

This paper cites [Huet al., 2022 ] Miao Hu, Wenzhuo Yang, Zhenxiao Luo, Xuezheng Liu, Yipeng Zhou, and Xu Chen.

DaringFed: A Dynamic Bayesian Persuasion Pricing for Online Federated Learning under Two-sided Incomplete Information [Huet al., 2022 ] Miao Hu, Wenzhuo Yang, Zhenxiao Luo, Xuezheng Liu, Yipeng Zhou, and Xu Chen

Reference 2024

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:00:23.455269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Pith citing papers

No inbound Pith citation observations are available.