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Paper Citation Record · LEDGER

Distribution-Level AirComp for Wireless Federated Learning under Data Scarcity and Heterogeneity

As of 7 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 0 inbound Pith citation observations for arXiv:2506.06090.

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

pith.paper-citation-record.v1
2506.06090 v1

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T06:08:36.870350Z

measured 29 of 29 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

29 of 29 outbound references displayed

  • verified exact2
  • verified fuzzy23
  • unresolved4
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5d0b3abd-8fc0-468e-9442-90b6f1e9f2e3 · outbound

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

Distribution-Level AirComp for Wireless Federated Learning under Data Scarcity and Heterogeneity Communication-efficient learning of deep networks from decentralized data,

Reference 1

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verified fuzzy
raw_fallback, observed 2026-08-07T06:08:41.513233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 69ac4eb7-54ec-4421-a07c-0c3925e49e6a · outbound

This paper cites Federated Learning with Non-IID Data.

Distribution-Level AirComp for Wireless Federated Learning under Data Scarcity and Heterogeneity Federated Learning with Non-IID Data

Reference 2

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no resolver link, observed 2026-08-07T06:08:34.489006Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T06:08:34.489006Z digest=sha256:11444e316b337d372dadc51574df203a56ab5f98e234ac6a752db6828016d93c

Observation 143fc9a3-a4c3-49e3-92f2-55304cc387e0 · outbound

This paper cites Federated optimization in heterogeneous networks,.

Distribution-Level AirComp for Wireless Federated Learning under Data Scarcity and Heterogeneity Federated optimization in heterogeneous networks,

Reference 3

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raw_fallback, observed 2026-08-07T06:08:41.326418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation e9592a5a-2683-4c69-a14f-bd06df5c70da · outbound

This paper cites SCAFFOLD: Stochastic controlled averaging for federated learning,.

Distribution-Level AirComp for Wireless Federated Learning under Data Scarcity and Heterogeneity SCAFFOLD: Stochastic controlled averaging for federated learning,

Reference 4

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verified fuzzy
raw_fallback, observed 2026-08-07T06:08:41.188656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T06:08:34.644132Z digest=sha256:655dd8343f18441415664bc51f33275b7842db4f20b6061beb973f53be35b5e4

Observation b848694d-765c-4d48-a58a-9cb8fdc468a2 · outbound

This paper cites Tackling the ob- jective inconsistency problem in heterogeneous federated optimization,.

Distribution-Level AirComp for Wireless Federated Learning under Data Scarcity and Heterogeneity Tackling the ob- jective inconsistency problem in heterogeneous federated optimization,

Reference 5

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verified fuzzy
raw_fallback, observed 2026-08-07T06:08:40.998046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T06:08:34.770296Z digest=sha256:6c7b36206064b4d59ae9788dd3d52c07fcc6bf150a3ae5eb169cc45da2109545

Observation 43cff166-2e4b-474c-bfcc-ef84ef9cb718 · outbound

This paper cites Model-contrastive federated learning,.

Distribution-Level AirComp for Wireless Federated Learning under Data Scarcity and Heterogeneity Model-contrastive federated learning,

Reference 6

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raw_fallback, observed 2026-08-07T06:08:40.847936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 7a2595a0-7289-4497-bb5c-dad7ecfb3e55 · outbound

This paper cites Federated learning based on dynamic regularization,.

Distribution-Level AirComp for Wireless Federated Learning under Data Scarcity and Heterogeneity Federated learning based on dynamic regularization,

Reference 7

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raw_fallback, observed 2026-08-07T06:08:40.550415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T06:08:34.923806Z digest=sha256:5cf452009d35ca08f4c0b3e06b99c38367b6d295738858473fad9fceaf2b588c

Observation 761f3f1b-affa-4b49-a932-0f5638a6becf · outbound

This paper cites Federated learning from small datasets,.

Distribution-Level AirComp for Wireless Federated Learning under Data Scarcity and Heterogeneity Federated learning from small datasets,

Reference 8

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verified fuzzy
raw_fallback, observed 2026-08-07T06:08:40.417045Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T06:08:35.003677Z digest=sha256:1219bf7b5904d64a61026c1933d3e27be2171822febfbd6ec8868ccba194fecf

Observation 9cf9518e-f8b2-4502-b65f-d6e12ea7ba36 · outbound

This paper cites Bayesian Federated Learning: A Survey.

Distribution-Level AirComp for Wireless Federated Learning under Data Scarcity and Heterogeneity Bayesian Federated Learning: A Survey

Reference 9

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local_arxiv, observed 2026-08-07T06:08:37.234099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T06:08:35.069888Z digest=sha256:715f4a373983ad8d22fe88696a3f97da78fa2e9e58ca2095cf54511e0ab36ae4

Observation c86f5439-76c2-4ee0-876b-df095bf5330b · outbound

This paper cites A Bayesian federated learning framework with online laplace approximation,.

Distribution-Level AirComp for Wireless Federated Learning under Data Scarcity and Heterogeneity A Bayesian federated learning framework with online laplace approximation,

Reference 10

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raw_fallback, observed 2026-08-07T06:08:40.206113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T06:08:35.191212Z digest=sha256:1b3f48a37872dc69a4e078bbf360e3108292958ded0cc16b430ee359ac1cc739

Observation 3785136b-4f2f-4d57-a022-2540f2092e62 · outbound

This paper cites Federated learning over wireless fading channels,.

Distribution-Level AirComp for Wireless Federated Learning under Data Scarcity and Heterogeneity Federated learning over wireless fading channels,

Reference 11

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raw_fallback, observed 2026-08-07T06:08:40.016574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T06:08:35.285554Z digest=sha256:4f5585e0637a35847977253593e0f7419a0c8673df403149b99849f9324a8af2

Observation e392826e-2335-4fb4-aecf-1bf5ee5627c8 · outbound

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

Distribution-Level AirComp for Wireless Federated Learning under Data Scarcity and Heterogeneity Broadband analog aggregation for low-latency federated edge learning,

Reference 12

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raw_fallback, observed 2026-08-07T06:08:39.766553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T06:08:35.347681Z digest=sha256:cfa6ffdba87c50f89300347359c3d4e1e8e36e8737621efe5e518ec07f188d95

Observation 06917569-4ca9-4823-8895-220effb5c7f1 · outbound

This paper cites Base station dataset-assisted broad- band over-the-air aggregation for communication-efficient federated learning,.

Distribution-Level AirComp for Wireless Federated Learning under Data Scarcity and Heterogeneity Base station dataset-assisted broad- band over-the-air aggregation for communication-efficient federated learning,

Reference 13

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verified fuzzy
raw_fallback, observed 2026-08-07T06:08:39.515957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T06:08:35.428022Z digest=sha256:df39e7eb73b19c71aa841e9bbae8a862bd04d9ed7382b4afc1d4fc9879c6b8c7

Observation 41547c7c-c575-40bc-a723-600432b5dc4b · outbound

This paper cites Over-the-air aggregation-based federated learning in cache- enabled wireless edge networks,.

Distribution-Level AirComp for Wireless Federated Learning under Data Scarcity and Heterogeneity Over-the-air aggregation-based federated learning in cache- enabled wireless edge networks,

Reference 14

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raw_fallback, observed 2026-08-07T06:08:39.201014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation e11af8ec-2bc4-4a34-b5e5-feedf66f9efd · outbound

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

Distribution-Level AirComp for Wireless Federated Learning under Data Scarcity and Heterogeneity Optimized power control design for over-the-air federated edge learning,

Reference 15

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verified fuzzy
raw_fallback, observed 2026-08-07T06:08:38.946733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation cadb5c9c-45da-4547-9aa4-6e068143126f · outbound

This paper cites Optimized power control for over-the-air computation in fading channels,.

Distribution-Level AirComp for Wireless Federated Learning under Data Scarcity and Heterogeneity Optimized power control for over-the-air computation in fading channels,

Reference 16

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verified fuzzy
raw_fallback, observed 2026-08-07T06:08:38.697482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation d51c471d-0bf4-4abd-a017-c7ed707aecce · outbound

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

Distribution-Level AirComp for Wireless Federated Learning under Data Scarcity and Heterogeneity One-bit over-the-air aggregation for communication-efficient federated edge learning: Design and convergence analysis,

Reference 17

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raw_fallback, observed 2026-08-07T06:08:38.542238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation b5bca7fa-bdd7-4aad-8258-95b5edb64b1b · outbound

This paper cites Privacy-enhanced over-the-air federated learning via client-driven power balancing,.

Distribution-Level AirComp for Wireless Federated Learning under Data Scarcity and Heterogeneity Privacy-enhanced over-the-air federated learning via client-driven power balancing,

Reference 18

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T06:08:35.854062Z digest=sha256:5b065ab75aa06024d9ad4f2490ee60295906cb8fbebaa130adb8be40793aae30

Observation a7be6cc4-cfd7-4e7b-b749-45ea2055b794 · outbound

This paper cites Federated Learning from Heterogeneous Data via Controlled Bayesian Air Aggregation.

Distribution-Level AirComp for Wireless Federated Learning under Data Scarcity and Heterogeneity Federated Learning from Heterogeneous Data via Controlled Bayesian Air Aggregation

Reference 19

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verified exact
local_arxiv, observed 2026-08-07T06:08:37.011632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 02266568-bdaa-48eb-99c1-516c490f8e4f · outbound

This paper cites Bayesian aircomp with sign-alignment precoding for wireless federated learning,.

Distribution-Level AirComp for Wireless Federated Learning under Data Scarcity and Heterogeneity Bayesian aircomp with sign-alignment precoding for wireless federated learning,

Reference 20

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raw_fallback, observed 2026-08-07T06:08:38.418971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T06:08:36.048279Z digest=sha256:ac8cd240c47d0b24eca1abd0931b6691af972485b75d59885b13867e054f984b

Observation 69f0878d-54f2-471a-9eaf-eaecc5411666 · outbound

This paper cites Bayesian over-the-air computa- tion,.

Distribution-Level AirComp for Wireless Federated Learning under Data Scarcity and Heterogeneity Bayesian over-the-air computa- tion,

Reference 21

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raw_fallback, observed 2026-08-07T06:08:38.291207Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T06:08:36.151670Z digest=sha256:11606c2bbbf65e32f799ebb8bc2eacd6f0d593ca057c484c8f4d210d32a1e84b

Observation dbf710c1-8909-4353-bc1b-8cde11f5de76 · outbound

This paper cites Practical variational inference for neural networks,.

Distribution-Level AirComp for Wireless Federated Learning under Data Scarcity and Heterogeneity Practical variational inference for neural networks,

Reference 22

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raw_fallback, observed 2026-08-07T06:08:38.148228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T06:08:36.246514Z digest=sha256:b24b8b42738d0cde994f44452fc8ce48a7139dca1a6d5ae5210e51e9f587485f

Observation 90eb393b-207f-4192-828b-cfa56156954a · outbound

This paper cites Weight uncertainty in neural networks,.

Distribution-Level AirComp for Wireless Federated Learning under Data Scarcity and Heterogeneity Weight uncertainty in neural networks,

Reference 23

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raw_fallback, observed 2026-08-07T06:08:38.018043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T06:08:36.333989Z digest=sha256:72fe1a39efd1c439dbb9a8da51c0e673e01dce97fb2abe419f3edcd50567a562

Observation 9192e1d3-4df8-4e13-90d3-28e887bc15f1 · outbound

This paper cites Bayesian inverse contextual reasoning for heterogeneous semantics- native communication,.

Distribution-Level AirComp for Wireless Federated Learning under Data Scarcity and Heterogeneity Bayesian inverse contextual reasoning for heterogeneous semantics- native communication,

Reference 24

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verified fuzzy
raw_fallback, observed 2026-08-07T06:08:37.829662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T06:08:36.413182Z digest=sha256:09bfe2ce821ce704da944b47064eb404e2683615c8cff2c0a5654585a1892d37

Observation 0f71f48f-0e65-4309-8f33-2edccf5705c1 · outbound

This paper cites Conflations of probability distributions,.

Distribution-Level AirComp for Wireless Federated Learning under Data Scarcity and Heterogeneity Conflations of probability distributions,

Reference 25

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raw_fallback, observed 2026-08-07T06:08:37.657185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T06:08:36.509779Z digest=sha256:a787b2172e205fefb6592ce8cdd315263c9ed04dfeb84c0cb945070b270fe010

Observation dcd6e6da-1298-4b54-bffc-4f21508b9fd2 · outbound

This paper cites How to combine variational bayesian networks in federated learning,.

Distribution-Level AirComp for Wireless Federated Learning under Data Scarcity and Heterogeneity How to combine variational bayesian networks in federated learning,

Reference 26

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verified fuzzy
raw_fallback, observed 2026-08-07T06:08:37.509551Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T06:08:36.622290Z digest=sha256:6584cdda127501b5a2a7a28448b1fb7d8bd48f74950344fac798078f2caea391

Observation f71112d2-46a8-4b16-8680-d297538803f5 · outbound

This paper cites Federated Learning via Variational Bayesian Inference: Personalization, Sparsity and Clustering.

Distribution-Level AirComp for Wireless Federated Learning under Data Scarcity and Heterogeneity Federated Learning via Variational Bayesian Inference: Personalization, Sparsity and Clustering

Reference 27

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unresolved
no resolver link, observed 2026-08-07T06:08:36.687156Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T06:08:36.687156Z digest=sha256:27ed65ea1b7d9b03b2c61831b5d4e5e21054c0b844b397dbec888e194ce87233

Observation b699801f-767c-43d0-a578-8d7a9bd114ea · outbound

This paper cites Blitz - bayesian layers in torch zoo (a bayesian deep learing library for torch),.

Distribution-Level AirComp for Wireless Federated Learning under Data Scarcity and Heterogeneity Blitz - bayesian layers in torch zoo (a bayesian deep learing library for torch),

Reference 28

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verified fuzzy
raw_fallback, observed 2026-08-07T06:08:37.379059Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T06:08:36.789476Z digest=sha256:3f4d7d083c88944980e02e59d692ea9185baf08fcd5a11f3e7eaf280df1f881a

Observation 36be8a16-0b14-44b4-acdf-238aa5eee8c2 · outbound

This paper cites On calibration of modern neural networks,.

Distribution-Level AirComp for Wireless Federated Learning under Data Scarcity and Heterogeneity On calibration of modern neural networks,

Reference 29

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unresolved
no resolver link, observed 2026-08-07T06:08:36.870350Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T06:08:36.870350Z digest=sha256:d8bca9c52558f9d759d603c9f87f1697e4bb8cbe8f803d373036afbba085f465

Pith citing papers

No inbound Pith citation observations are available.