Paper Citation Record · LEDGER

AI-in-the-Loop Sensing and Communication Joint Design for Edge Intelligence

As of 8 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 1 inbound Pith citation observation for arXiv:2502.10203.

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

pith.paper-citation-record.v1
2502.10203 v1

Coverage vector

measured 50 of 50 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T19:06:34.885111Z

measured 51 of 51 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-07T10:45:11.686461Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T09:31:25.579419Z

Reference resolution

50 of 50 outbound references displayed

verified exact2
verified fuzzy35
unresolved13
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c852c8a5-2de1-4f19-8516-6529eb9fc60d · outbound

This paper cites Integrated sensing and communications: Toward dual-functional wire- less networks for 6g and beyond,.

AI-in-the-Loop Sensing and Communication Joint Design for Edge Intelligence Integrated sensing and communications: Toward dual-functional wire- less networks for 6g and beyond,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:06:36.097460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 14e5bdf4-91c3-4b77-9286-4abd8edf1327 · outbound

This paper cites Integrating sensing and communi- cations for ubiquitous iot: Applications, trends, and challenges,.

AI-in-the-Loop Sensing and Communication Joint Design for Edge Intelligence Integrating sensing and communi- cations for ubiquitous iot: Applications, trends, and challenges,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T19:06:34.288615Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f77cef27-7618-4ebc-a09f-1a5fc9d6524b · outbound

This paper cites IMT-2030 for 6G Mobile Technologies,.

AI-in-the-Loop Sensing and Communication Joint Design for Edge Intelligence IMT-2030 for 6G Mobile Technologies,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:06:36.078608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 3d59f214-9034-498b-8c07-b421fca81cf1 · outbound

This paper cites Integrated Sensing and Edge AI: Realizing Intelligent Perception in 6G.

AI-in-the-Loop Sensing and Communication Joint Design for Edge Intelligence Integrated Sensing and Edge AI: Realizing Intelligent Perception in 6G

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T19:06:34.296208Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 678c0e61-ce39-45fc-a264-e91a17f872e4 · outbound

This paper cites On the View-and-Channel Aggregation Gain in Integrated Sensing and Edge AI.

AI-in-the-Loop Sensing and Communication Joint Design for Edge Intelligence On the View-and-Channel Aggregation Gain in Integrated Sensing and Edge AI

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-08-07T19:06:35.013817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 40140457-6e34-4a58-898a-500f5f89308a · outbound

This paper cites Pushing ai to wireless network edge: An overview on integrated sensing, communication, and computation towards 6g,.

AI-in-the-Loop Sensing and Communication Joint Design for Edge Intelligence Pushing ai to wireless network edge: An overview on integrated sensing, communication, and computation towards 6g,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:06:35.983374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation ef9d2203-b9b2-4b74-a440-a0a17f30e608 · outbound

This paper cites Integrated sensing and communications: Background and applications,.

AI-in-the-Loop Sensing and Communication Joint Design for Edge Intelligence Integrated sensing and communications: Background and applications,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:06:35.951977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation ee5a74ec-0ebf-48d2-b21f-b0b4903903f5 · outbound

This paper cites Communication-efficient learning of deep networks from decentralized data,.

AI-in-the-Loop Sensing and Communication Joint Design for Edge Intelligence Communication-efficient learning of deep networks from decentralized data,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T19:06:34.313594Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f57d18fe-486f-40f8-b13a-6b8b85aed877 · outbound

This paper cites A Survey of Large Language Models.

AI-in-the-Loop Sensing and Communication Joint Design for Edge Intelligence A Survey of Large Language Models

Reference 9

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cf4f1002-3b43-4e90-b715-1cbd10e46ccb · outbound

This paper cites {eSGD}: Communication efficient distributed deep learning on the edge,.

AI-in-the-Loop Sensing and Communication Joint Design for Edge Intelligence {eSGD}: Communication efficient distributed deep learning on the edge,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:06:35.934055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 9f46647d-9fed-4505-9f0f-264338aba46d · outbound

This paper cites pFedLoRA: Model-Heterogeneous Personalized Federated Learning with LoRA Tuning.

AI-in-the-Loop Sensing and Communication Joint Design for Edge Intelligence pFedLoRA: Model-Heterogeneous Personalized Federated Learning with LoRA Tuning

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T19:06:34.325400Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a783c52-9683-44b0-b514-0dea551bc3e5 · outbound

This paper cites Optimized power control design for over-the-air federated edge learning,.

AI-in-the-Loop Sensing and Communication Joint Design for Edge Intelligence Optimized power control design for over-the-air federated edge learning,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:06:35.922543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 91bd932d-26f1-4b5f-9e59-15dd6f443775 · outbound

This paper cites Active learning literature survey,.

AI-in-the-Loop Sensing and Communication Joint Design for Edge Intelligence Active learning literature survey,

Reference 13

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Source-reported events for the cited work

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Observation 7d1e5117-9aed-4d29-a979-302ce85eab38 · outbound

This paper cites Data-importance aware user scheduling for communication-efficient edge machine learning,.

AI-in-the-Loop Sensing and Communication Joint Design for Edge Intelligence Data-importance aware user scheduling for communication-efficient edge machine learning,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:06:35.904741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 0abaffcd-88e8-4fb2-a2ef-87cd64a1b25e · outbound

This paper cites Importance-aware data selection and resource allocation in federated edge learning system,.

AI-in-the-Loop Sensing and Communication Joint Design for Edge Intelligence Importance-aware data selection and resource allocation in federated edge learning system,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:06:35.894350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 47447d50-cebc-4786-8db1-cc0db1bdc4a8 · outbound

This paper cites Not all samples are created equal: Deep learning with importance sampling,.

AI-in-the-Loop Sensing and Communication Joint Design for Edge Intelligence Not all samples are created equal: Deep learning with importance sampling,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:06:35.882596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation af320473-5484-4389-8014-5830789825eb · outbound

This paper cites On optimal probabilities in stochastic coordinate descent methods,.

AI-in-the-Loop Sensing and Communication Joint Design for Edge Intelligence On optimal probabilities in stochastic coordinate descent methods,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:06:35.871971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 13af1aac-eaa9-4d00-8f6e-7fcb0397b147 · outbound

This paper cites Variance Reduction in SGD by Distributed Importance Sampling.

AI-in-the-Loop Sensing and Communication Joint Design for Edge Intelligence Variance Reduction in SGD by Distributed Importance Sampling

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T19:06:34.348881Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 94001f5c-1136-44d0-b6b9-7394eb511284 · outbound

This paper cites Overfitting and undercomputing in machine learning,.

AI-in-the-Loop Sensing and Communication Joint Design for Edge Intelligence Overfitting and undercomputing in machine learning,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:06:35.860852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 49d3bb66-5c98-421d-928c-98a0e5796a0f · outbound

This paper cites History- gradient aided batch size adaptation for variance reduced algorithms,.

AI-in-the-Loop Sensing and Communication Joint Design for Edge Intelligence History- gradient aided batch size adaptation for variance reduced algorithms,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:06:35.849145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 6fc3fefd-d42c-4605-a903-df85ecdd4e8d · outbound

This paper cites To- ward ambient intelligence: Federated edge learning with task-oriented sensing, computation, and communication integration,.

AI-in-the-Loop Sensing and Communication Joint Design for Edge Intelligence To- ward ambient intelligence: Federated edge learning with task-oriented sensing, computation, and communication integration,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:06:35.838588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 5484042f-438e-40d2-811d-91695b1360d5 · outbound

This paper cites Distributed joint resource optimization for federated learning task distribution,.

AI-in-the-Loop Sensing and Communication Joint Design for Edge Intelligence Distributed joint resource optimization for federated learning task distribution,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:06:35.827226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation cf388f25-303f-4f60-b16b-1507bad32ee8 · outbound

This paper cites Task-oriented over-the-air computation for multi-device edge ai,.

AI-in-the-Loop Sensing and Communication Joint Design for Edge Intelligence Task-oriented over-the-air computation for multi-device edge ai,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:06:35.779894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation e7768726-1257-4c47-a47c-bc44b512a7eb · outbound

This paper cites A survey of regularization strategies for deep models,.

AI-in-the-Loop Sensing and Communication Joint Design for Edge Intelligence A survey of regularization strategies for deep models,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:06:35.621451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 902b9746-e04a-49d0-8154-61bd6285fd39 · outbound

This paper cites A survey on image data augmen- tation for deep learning,.

AI-in-the-Loop Sensing and Communication Joint Design for Edge Intelligence A survey on image data augmen- tation for deep learning,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:06:35.572256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a390bf51-54af-4f61-8dd4-a7fbe1db01a3 · outbound

This paper cites A Survey of Data Augmentation Approaches for NLP.

AI-in-the-Loop Sensing and Communication Joint Design for Edge Intelligence A Survey of Data Augmentation Approaches for NLP

Reference 26

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 80dd14e0-5d99-42b7-b72e-2bd9a9df62c5 · outbound

This paper cites Time Series Data Augmentation for Deep Learning: A Survey.

AI-in-the-Loop Sensing and Communication Joint Design for Edge Intelligence Time Series Data Augmentation for Deep Learning: A Survey

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T19:06:34.698767Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 64aa1163-8957-4979-9457-587b94e5309f · outbound

This paper cites Regularization for Deep Learning: A Taxonomy.

AI-in-the-Loop Sensing and Communication Joint Design for Edge Intelligence Regularization for Deep Learning: A Taxonomy

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T19:06:34.702627Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba2a7004-8cd5-4755-9b13-ab7b976b377d · outbound

This paper cites Integrated sensing and learning for better generalized edge ai,.

AI-in-the-Loop Sensing and Communication Joint Design for Edge Intelligence Integrated sensing and learning for better generalized edge ai,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:06:35.470753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 418e93d2-6473-4dbf-bdc8-e14cabdfb2ff · outbound

This paper cites Lecture notes on information theory,.

AI-in-the-Loop Sensing and Communication Joint Design for Edge Intelligence Lecture notes on information theory,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:06:35.410855Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 051d1f50-8a26-488d-98ea-9a14e4b6da28 · outbound

This paper cites Tightening mutual information- based bounds on generalization error,.

AI-in-the-Loop Sensing and Communication Joint Design for Edge Intelligence Tightening mutual information- based bounds on generalization error,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:06:35.398925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 49e98a29-dac0-4dbc-b23b-05e421412226 · outbound

This paper cites Bayesian learning via stochastic gradient langevin dynamics,.

AI-in-the-Loop Sensing and Communication Joint Design for Edge Intelligence Bayesian learning via stochastic gradient langevin dynamics,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:06:35.388054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c48ee6be-dd27-4a30-b026-64ddc09c12a2 · outbound

This paper cites On the fundamental tradeoff of integrated sensing and communications under gaussian channels,.

AI-in-the-Loop Sensing and Communication Joint Design for Edge Intelligence On the fundamental tradeoff of integrated sensing and communications under gaussian channels,

Reference 33

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Source-reported events for the cited work

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Observation e20e508d-bee5-4001-abc4-0b3b2eff6232 · outbound

This paper cites Machine learning at the network edge: A survey,.

AI-in-the-Loop Sensing and Communication Joint Design for Edge Intelligence Machine learning at the network edge: A survey,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:06:35.370695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a07cc7ed-f6fd-47ba-ba73-a3ed7a3ba06d · outbound

This paper cites Analyzing the gener- alization capability of sgld using properties of gaussian channels,.

AI-in-the-Loop Sensing and Communication Joint Design for Edge Intelligence Analyzing the gener- alization capability of sgld using properties of gaussian channels,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:06:35.359600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 5ff053e5-8cd9-42e9-baf0-a572cad9518b · outbound

This paper cites Simulation and analysis of human micro-dopplers in through-wall environments,.

AI-in-the-Loop Sensing and Communication Joint Design for Edge Intelligence Simulation and analysis of human micro-dopplers in through-wall environments,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:06:35.348632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation cefc2c35-91a0-4241-870d-a2d0eceaad9d · outbound

This paper cites Broadband analog aggregation for low-latency federated edge learning,.

AI-in-the-Loop Sensing and Communication Joint Design for Edge Intelligence Broadband analog aggregation for low-latency federated edge learning,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:06:35.338238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c60d6eb9-3b8a-4931-81ce-95a2559f28d9 · outbound

This paper cites Dynamic computation offloading for mobile-edge computing with energy harvesting devices,.

AI-in-the-Loop Sensing and Communication Joint Design for Edge Intelligence Dynamic computation offloading for mobile-edge computing with energy harvesting devices,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:06:35.326860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f6aeb0c6-cadf-4bb0-a185-8a8ba257a2de · outbound

This paper cites Optimization methods for large- scale machine learning,.

AI-in-the-Loop Sensing and Communication Joint Design for Edge Intelligence Optimization methods for large- scale machine learning,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:06:35.315555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 2fb4b979-e22e-46dd-8c77-fac90b601008 · outbound

This paper cites On the convergence of block coordinate descent type methods,.

AI-in-the-Loop Sensing and Communication Joint Design for Edge Intelligence On the convergence of block coordinate descent type methods,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:06:35.304559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 3aff99a7-4b7a-407d-b5dc-e4396b7bd123 · outbound

This paper cites Parallel Coordinate Descent for L1-Regularized Loss Minimization.

AI-in-the-Loop Sensing and Communication Joint Design for Edge Intelligence Parallel Coordinate Descent for L1-Regularized Loss Minimization

Reference 41

Resolution: verified exact; local_arxiv, observed 2026-08-07T19:06:34.932649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation e643366a-9d9e-475e-bfa6-68f18b6b96f2 · outbound

This paper cites Fantastic Generalization Measures and Where to Find Them.

AI-in-the-Loop Sensing and Communication Joint Design for Edge Intelligence Fantastic Generalization Measures and Where to Find Them

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-07T19:06:34.793914Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dfe0cc71-08ae-4d31-90ce-8024302669a9 · outbound

This paper cites Stochastic optimization with importance sam- pling for regularized loss minimization,.

AI-in-the-Loop Sensing and Communication Joint Design for Edge Intelligence Stochastic optimization with importance sam- pling for regularized loss minimization,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:06:35.247687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 3d857ae0-f691-4618-bdb5-c40e13491dec · outbound

This paper cites Stochastic gradient descent, weighted sampling, and the randomized kaczmarz algorithm,.

AI-in-the-Loop Sensing and Communication Joint Design for Edge Intelligence Stochastic gradient descent, weighted sampling, and the randomized kaczmarz algorithm,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:06:35.150135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d82f5b34-cb0b-4cf9-b2c2-b4e8639a14c1 · outbound

This paper cites Some useful moment results in sampling problems,.

AI-in-the-Loop Sensing and Communication Joint Design for Edge Intelligence Some useful moment results in sampling problems,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:06:35.093966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 36a1e9be-546f-46d3-9b36-7715fadb828c · outbound

This paper cites One-bit over-the-air aggre- gation for communication-efficient federated edge learning: Design and convergence analysis,.

AI-in-the-Loop Sensing and Communication Joint Design for Edge Intelligence One-bit over-the-air aggre- gation for communication-efficient federated edge learning: Design and convergence analysis,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:06:35.081850Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 0426f461-690b-418d-91de-58e8489241f5 · outbound

This paper cites Gradient-based learning applied to document recognition,.

AI-in-the-Loop Sensing and Communication Joint Design for Edge Intelligence Gradient-based learning applied to document recognition,

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-07T19:06:34.874745Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 195aab5e-be84-4d5a-9e4c-d9208c1cb2a8 · outbound

This paper cites Information-theoretic analysis of generaliza- tion capability of learning algorithms,.

AI-in-the-Loop Sensing and Communication Joint Design for Edge Intelligence Information-theoretic analysis of generaliza- tion capability of learning algorithms,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:06:35.064566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation b34262b5-3eed-4dfb-a3af-3888423981a4 · outbound

This paper cites How much does your data exploration overfit? controlling bias via information usage,.

AI-in-the-Loop Sensing and Communication Joint Design for Edge Intelligence How much does your data exploration overfit? controlling bias via information usage,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:06:35.053049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation e9f112ec-a91b-43c6-9ea0-8c885ec8f097 · outbound

This paper cites Asymptotic evaluation of certain markov process expectations for large time. iv,.

AI-in-the-Loop Sensing and Communication Joint Design for Edge Intelligence Asymptotic evaluation of certain markov process expectations for large time. iv,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:06:35.038718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Pith citing papers

Observation 6b6aeba5-7717-40da-b805-52d762dbf175 · inbound

Analytically Characterized Optimal Power Control for Signal-Level-Integrated Sensing, Computing and Communication in Federated Learning cites this paper.

Analytically Characterized Optimal Power Control for Signal-Level-Integrated Sensing, Computing and Communication in Federated Learning AI-in-the-Loop Sensing and Communication Joint Design for Edge Intelligence

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-05-12T09:31:25.581028Z

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