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Paper Citation Record · LEDGER

Learned Digital Over-the-Air Computing for Federated Edge Learning

As of 20 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 2 inbound Pith citation observations for arXiv:2509.16577.

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

pith.paper-citation-record.v1
2509.16577 v2

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T16:08:18.974747Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T00:16:51.694972Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T00:16:54.333670Z

Reference resolution

34 of 34 outbound references displayed

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  • verified fuzzy0
  • unresolved33
  • parse uncertain1
  • malformed identifier0
  • metadata mismatch0

External citation measurements

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Outbound references

Observation 996ff08a-3819-4aa0-9e1b-805124017650 · outbound

This paper cites Learned Digital Over-the-Air Computing for Federated Edge Learning.

Learned Digital Over-the-Air Computing for Federated Edge Learning Learned Digital Over-the-Air Computing for Federated Edge Learning

Reference 1

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Observation 74fbe6c9-7e44-4174-b897-75143c2208f8 · outbound

This paper cites Each devicekhas a single antenna and local datasetD k.

Learned Digital Over-the-Air Computing for Federated Edge Learning Each devicekhas a single antenna and local datasetD k

Reference 2

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Observation cd08527f-bb68-4498-83c3-9c448316342d · outbound

This paper cites The re- sulting URA codebook and decoder can be reused across tasks and communication rounds without retraining, much like a conventional un-learnt design.

Learned Digital Over-the-Air Computing for Federated Edge Learning The re- sulting URA codebook and decoder can be reused across tasks and communication rounds without retraining, much like a conventional un-learnt design

Reference 3

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source=pdf_text observed=2026-08-04T16:08:14.700301Z digest=sha256:4315403e1320e1bd608f192869ad0b3fca9ad217e3f03580d80612e86accc62d

Observation 38c18899-ee65-47c6-aeae-1e698733c20a · outbound

This paper cites an unresolved cited work.

Learned Digital Over-the-Air Computing for Federated Edge Learning Unresolved cited work

Reference 4

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source=pdf_text observed=2026-08-04T16:08:14.874745Z digest=sha256:373064070aabac5048d1e0f5960f7fe2dfaf18505770b89eacefc35ae2b737f8

Observation 82815e19-d525-457b-830a-0a5fa99be63d · outbound

This paper cites an unresolved cited work.

Learned Digital Over-the-Air Computing for Federated Edge Learning Unresolved cited work

Reference 5

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source=pdf_text observed=2026-08-04T16:08:15.054828Z digest=sha256:0769f6e5906355f9c4ecae19ef1072b0beaa1c125a1a44c7b9cd4b4bf102930a

Observation 438d9495-dbd5-4137-a8b3-d5a0c211b64d · outbound

This paper cites an unresolved cited work.

Learned Digital Over-the-Air Computing for Federated Edge Learning Unresolved cited work

Reference 6

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source=pdf_text observed=2026-08-04T16:08:15.204747Z digest=sha256:4c9c807265060049f1883fc044306b8de09728d5f9bf1f6fb32ea267a91131b3

Observation 4db1f3c8-de7d-4098-a583-5874cc9ca4d7 · outbound

This paper cites The method retains the same uplink cost as the state-of-the-art, while extending reliable operation by more than 7 dB.

Learned Digital Over-the-Air Computing for Federated Edge Learning The method retains the same uplink cost as the state-of-the-art, while extending reliable operation by more than 7 dB

Reference 7

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source=pdf_text observed=2026-08-04T16:08:15.317784Z digest=sha256:be718c6cf0c3eec52d5b05f7f06874822398e913687b30cbdbd54f50b0867cff

Observation f5adacb1-cdb8-4bef-b740-3eae3e79a1ae · outbound

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

Learned Digital Over-the-Air Computing for Federated Edge Learning Communication-efficient learning of deep networks from decentralized data,

Reference 8

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source=pdf_text observed=2026-08-04T16:08:15.464753Z digest=sha256:4e5e1041a3f37422804841fa7eb5556f232a9e0068afecbe911813ce66a4b799

Observation 35b4df23-61c5-4ab0-a94a-504e59b3e298 · outbound

This paper cites Fed- erated learning: Strategies for improving communication effi- ciency,.

Learned Digital Over-the-Air Computing for Federated Edge Learning Fed- erated learning: Strategies for improving communication effi- ciency,

Reference 9

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source=pdf_text observed=2026-08-04T16:08:15.644751Z digest=sha256:1bdc3dc6d424537f849561c4b46a268637db937d886ed041f3caf727fc132881

Observation 4741d053-a003-4837-a286-32e56f556620 · outbound

This paper cites A comprehensive survey on communication-efficient federated learning in mobile edge en- vironments,.

Learned Digital Over-the-Air Computing for Federated Edge Learning A comprehensive survey on communication-efficient federated learning in mobile edge en- vironments,

Reference 10

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source=pdf_text observed=2026-08-04T16:08:15.814744Z digest=sha256:66fb3c4bb9d140d21924d42c53f4f2d943baf8cc353dc22107ee733bab5f44f6

Observation b834b0bb-496e-4a59-b25e-09faf56d5ea1 · outbound

This paper cites Distributed learning in wireless networks: Recent progress and future challenges,.

Learned Digital Over-the-Air Computing for Federated Edge Learning Distributed learning in wireless networks: Recent progress and future challenges,

Reference 11

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source=pdf_text observed=2026-08-04T16:08:15.964290Z digest=sha256:e2d138f0705318631f46ce49ff9379af09fb0eedf9e18bf12cc05f099254c09f

Observation a97e2496-b9e6-4a67-912f-1ffbb745802b · outbound

This paper cites Sparse communica- tion for distributed gradient descent,.

Learned Digital Over-the-Air Computing for Federated Edge Learning Sparse communica- tion for distributed gradient descent,

Reference 12

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source=pdf_text observed=2026-08-04T16:08:16.098837Z digest=sha256:d3fefc966ee6b1c49229411c4021a66b319973502144f1c83a16a6d6f3918d19

Observation ec5c719b-3e60-41de-97e6-c4aae19f1a74 · outbound

This paper cites Time- correlated sparsification for communication-efficient federated learning,.

Learned Digital Over-the-Air Computing for Federated Edge Learning Time- correlated sparsification for communication-efficient federated learning,

Reference 13

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source=pdf_text observed=2026-08-04T16:08:16.255721Z digest=sha256:26e85ae5cb08c7d76d29e6fc7dd622ca0db3a2483211478d4d2d71ae9326bbbc

Observation b4ca2463-f799-44a1-9daf-5402c0f375dd · outbound

This paper cites QSGD: Communication-efficient SGD via gradient quantization and encoding,.

Learned Digital Over-the-Air Computing for Federated Edge Learning QSGD: Communication-efficient SGD via gradient quantization and encoding,

Reference 14

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Observation cb05cdda-8d32-41b6-9c25-401e8abc789c · outbound

This paper cites signSGD: Compressed optimisation for non-convex problems,.

Learned Digital Over-the-Air Computing for Federated Edge Learning signSGD: Compressed optimisation for non-convex problems,

Reference 15

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Observation d5f4af8d-a7b1-43a6-b662-f5b23f4bee58 · outbound

This paper cites 1-bit stochastic gradient descent and its application to data- parallel distributed training of speech DNNs,.

Learned Digital Over-the-Air Computing for Federated Edge Learning 1-bit stochastic gradient descent and its application to data- parallel distributed training of speech DNNs,

Reference 16

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Observation 4c99b3ba-5017-4042-ba8a-a4477651fdf6 · outbound

This paper cites Machine learning at the wireless edge: Distributed stochastic gradient descent over-the-air,.

Learned Digital Over-the-Air Computing for Federated Edge Learning Machine learning at the wireless edge: Distributed stochastic gradient descent over-the-air,

Reference 17

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Observation 2efa1818-0c3d-4417-80be-fb0c4a95a499 · outbound

This paper cites Feder- ated learning over wireless fading channels,.

Learned Digital Over-the-Air Computing for Federated Edge Learning Feder- ated learning over wireless fading channels,

Reference 18

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source=pdf_text observed=2026-08-04T16:08:17.054896Z digest=sha256:bca855ab2af759ab2ac006e08926ed03e19252334c32ba80994a6dc9cc617dfe

Observation 56133cc3-7101-43a0-929f-246ca2f848ea · outbound

This paper cites Dynamic scheduling for over-the-air federated edge learning with energy constraints,.

Learned Digital Over-the-Air Computing for Federated Edge Learning Dynamic scheduling for over-the-air federated edge learning with energy constraints,

Reference 19

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Observation ec5facde-48b8-4683-8cc3-97af48e30ae6 · outbound

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

Learned Digital Over-the-Air Computing for Federated Edge Learning One-bit over-the-air aggregation for communication-efficient federated edge learning: Design and convergence analysis,

Reference 20

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source=pdf_text observed=2026-08-04T16:08:17.274823Z digest=sha256:ac9ef7c0a44de2edd20d6f936a7224c855af70c83e76ec7528a324fbc6f2c90f

Observation d10089e1-3307-4a05-8edc-29cc3f707d11 · outbound

This paper cites Massive digital over-the-air computation for communication-efficient federated edge learning,.

Learned Digital Over-the-Air Computing for Federated Edge Learning Massive digital over-the-air computation for communication-efficient federated edge learning,

Reference 21

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Observation 8ee33080-d3a0-41db-927c-8163df7f869f · outbound

This paper cites Ofdma-f 2l: Federated learning with flexible aggregation over an ofdma air interface,.

Learned Digital Over-the-Air Computing for Federated Edge Learning Ofdma-f 2l: Federated learning with flexible aggregation over an ofdma air interface,

Reference 22

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Observation 48104394-c56e-4dda-831d-d9979fcfc083 · outbound

This paper cites Distributed Learning over a Wireless Network with FSK-Based Majority Vote.

Learned Digital Over-the-Air Computing for Federated Edge Learning Distributed Learning over a Wireless Network with FSK-Based Majority Vote

Reference 23

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Observation 6c722e65-b9b5-4c56-bb12-8c0f6b471e71 · outbound

This paper cites A perspective on massive random-access,.

Learned Digital Over-the-Air Computing for Federated Edge Learning A perspective on massive random-access,

Reference 24

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Observation 6ba3eb00-30dc-4f80-8c34-0524f16734ef · outbound

This paper cites Digital over-the-air federated learn- ing in multi-antenna systems,.

Learned Digital Over-the-Air Computing for Federated Edge Learning Digital over-the-air federated learn- ing in multi-antenna systems,

Reference 25

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Observation 674bf09a-be29-4ba9-9049-3dbbdde0aeda · outbound

This paper cites Federated optimiza- tion in heterogeneous networks,.

Learned Digital Over-the-Air Computing for Federated Edge Learning Federated optimiza- tion in heterogeneous networks,

Reference 26

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Observation 15109539-088c-44a1-af7f-e12451cbbf87 · outbound

This paper cites On the feasibility of distributed phase synchro- nization for coherent signal superposition,.

Learned Digital Over-the-Air Computing for Federated Edge Learning On the feasibility of distributed phase synchro- nization for coherent signal superposition,

Reference 27

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Observation e3b4adc1-bf4d-44c8-938b-4fbb8c417c15 · outbound

This paper cites k-means++: The ad- vantages of careful seeding,.

Learned Digital Over-the-Air Computing for Federated Edge Learning k-means++: The ad- vantages of careful seeding,

Reference 28

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source=pdf_text observed=2026-08-04T16:08:18.254948Z digest=sha256:3d2d6f6b72e1b75ac879d1f759025b3117ebcba4828243875b1d6fec79ed3ad1

Observation e4c66829-e0cc-4fb1-85dc-17ca262aa42f · outbound

This paper cites Generalized approximate message passing for estimation with random linear mixing,.

Learned Digital Over-the-Air Computing for Federated Edge Learning Generalized approximate message passing for estimation with random linear mixing,

Reference 29

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source=pdf_text observed=2026-08-04T16:08:18.364820Z digest=sha256:f8340e9c67666cf3e7eb1a8c2c47a4da6ce7d9086380faf727e7b1a80d59aee0

Observation 8aa615e6-bff0-4d73-904d-5b2815e7ca49 · outbound

This paper cites Amp-net: Denoising-based deep unfolding for compressive image sensing,.

Learned Digital Over-the-Air Computing for Federated Edge Learning Amp-net: Denoising-based deep unfolding for compressive image sensing,

Reference 30

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source=pdf_text observed=2026-08-04T16:08:18.516597Z digest=sha256:7f5b0a1765f980fc6d988858beeb52eca2c0733750fba123050f896571f712b0

Observation 1add47ca-a408-4eb0-9681-4c3dd3f0d349 · outbound

This paper cites Some intriguing observations on the learnt matrices in deep unfolded networks,.

Learned Digital Over-the-Air Computing for Federated Edge Learning Some intriguing observations on the learnt matrices in deep unfolded networks,

Reference 31

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source=pdf_text observed=2026-08-04T16:08:18.618476Z digest=sha256:2e909c4840f676690ce3a2a36281694e2a2a386a3b87d08525a5668ba1514217

Observation df317c75-d965-4395-a1df-8e34d9c96c46 · outbound

This paper cites Deep residual learning for image recognition,.

Learned Digital Over-the-Air Computing for Federated Edge Learning Deep residual learning for image recognition,

Reference 32

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source=pdf_text observed=2026-08-04T16:08:18.734816Z digest=sha256:d6477c3f582814a03d130c38537bc391c887ba4f5f5c949ed03c904f7211c139

Observation d16abc16-7a40-405c-bafe-f1a48695686d · outbound

This paper cites Address- ing representation collapse in vector quantized models with one linear layer,.

Learned Digital Over-the-Air Computing for Federated Edge Learning Address- ing representation collapse in vector quantized models with one linear layer,

Reference 33

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source=pdf_text observed=2026-08-04T16:08:18.854747Z digest=sha256:63eb252520fa70d6c634624aacb1ca9b34740e5eb1aaefbccf1794c1c895b83b

Observation ad9627b0-97ce-4213-8803-85935a797481 · outbound

This paper cites Ista-net: Interpretable optimization-inspired deep network for image compressive sensing,.

Learned Digital Over-the-Air Computing for Federated Edge Learning Ista-net: Interpretable optimization-inspired deep network for image compressive sensing,

Reference 34

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Pith citing papers

Observation 996ff08a-3819-4aa0-9e1b-805124017650 · inbound

Learned Digital Over-the-Air Computing for Federated Edge Learning cites this paper.

Learned Digital Over-the-Air Computing for Federated Edge Learning Learned Digital Over-the-Air Computing for Federated Edge Learning

Reference 1

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source=pdf_text observed=2026-08-04T16:08:14.424747Z digest=sha256:ca0648c330b0beb06db7f4a92242ab60a63d12aa9072a5fc3ec44b7b3e10c8a3

Observation 4ca5a4b4-5dda-4358-98b2-0783b0a8d87d · inbound

Cluster-Aware Over-the-Air Federated Learning with Energy-Harvesting Devices: From Global Training to Model Personalization cites this paper.

Cluster-Aware Over-the-Air Federated Learning with Energy-Harvesting Devices: From Global Training to Model Personalization Learned Digital Over-the-Air Computing for Federated Edge Learning

Reference 8

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local_arxiv, observed 2026-08-06T00:16:54.336931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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