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Paper Citation Record · LEDGER

Partially-Observable Transmission Control for UAV-Enabled Federated Learning in IoT Networks

As of 21 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 0 inbound Pith citation observations for arXiv:2608.00855.

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

pith.paper-citation-record.v1
2608.00855 v1

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T15:21:19.666374Z

measured 21 of 21 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 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

21 of 21 outbound references displayed

  • verified exact1
  • verified fuzzy17
  • unresolved3
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 08f3f200-69ff-40c4-bad8-0fe631a0cbd7 · outbound

This paper cites Personalized feder- ated learning-driven beamforming optimization for integrated sensing and communication systems,.

Partially-Observable Transmission Control for UAV-Enabled Federated Learning in IoT Networks Personalized feder- ated learning-driven beamforming optimization for integrated sensing and communication systems,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:21:20.076473Z

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.

source=pdf_text observed=2026-08-15T15:21:19.552167Z digest=sha256:f01fd6da349e90bbc52282452e84f35e09e8a9e0d980d0a98e5af406d8126b10

Observation f27be93c-21d9-43a1-ae3e-68248614d48a · outbound

This paper cites Robust decentralized learning with local updates and gradient tracking,.

Partially-Observable Transmission Control for UAV-Enabled Federated Learning in IoT Networks Robust decentralized learning with local updates and gradient tracking,

Reference 2

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unresolved
no resolver link, observed 2026-08-15T15:21:19.558206Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation b10b32d7-6db8-4e58-8cc0-ec349fd9cb56 · outbound

This paper cites Delay opt. in hierarchical UA V-aided federated lea. for straggling IoT devices,.

Partially-Observable Transmission Control for UAV-Enabled Federated Learning in IoT Networks Delay opt. in hierarchical UA V-aided federated lea. for straggling IoT devices,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:21:20.046278Z

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.

source=pdf_text observed=2026-08-15T15:21:19.564641Z digest=sha256:999855f7a454074e7159ab6f79022881e0919c510fbb61f05a6c8c0803562efc

Observation 36a6dd3c-9607-44cd-85eb-977beb711908 · outbound

This paper cites pFedWN: A personalized feder- ated learning framework for D2D wireless networks with heterogeneous data,.

Partially-Observable Transmission Control for UAV-Enabled Federated Learning in IoT Networks pFedWN: A personalized feder- ated learning framework for D2D wireless networks with heterogeneous data,

Reference 4

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verified fuzzy
raw_fallback, observed 2026-08-15T15:21:20.026329Z

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.

source=pdf_text observed=2026-08-15T15:21:19.570285Z digest=sha256:9dd04b151f3816bb164c9ddb89a21c0abdd3c50e23b4ae2ecfa187fecc383586

Observation 0790e493-b612-4824-8996-11dcc40a6616 · outbound

This paper cites Channel-aware distributed transmission control and video streaming in UA V networks,.

Partially-Observable Transmission Control for UAV-Enabled Federated Learning in IoT Networks Channel-aware distributed transmission control and video streaming in UA V networks,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:21:20.010287Z

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.

source=pdf_text observed=2026-08-15T15:21:19.576457Z digest=sha256:5a60494eb0e01e39f8cc8013119647081ffd2ddd65578533ef342167c3ca355f

Observation e1fb11fa-2541-4feb-b1d1-f5b957ec1bbc · outbound

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

Partially-Observable Transmission Control for UAV-Enabled Federated Learning in IoT Networks Communication-efficient learning of deep networks from decentralized data,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:21:19.993272Z

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.

source=pdf_text observed=2026-08-15T15:21:19.582900Z digest=sha256:c828daff2982be2499142fee5a3bc8e1bc6a736a14d5ae8286b74a7bd02622fd

Observation 7f2f43c1-deec-4879-9ed7-20be849ed4d9 · outbound

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

Partially-Observable Transmission Control for UAV-Enabled Federated Learning in IoT Networks Scaffold: Stochastic controlled averaging for federated learning,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:21:19.976783Z

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.

source=pdf_text observed=2026-08-15T15:21:19.589733Z digest=sha256:3cdd7b7b42b96d2cdfe2068509aef4f54a5e2ae4e3fddf0cc5f0ba582686d84f

Observation d2a64962-4205-4a75-b4bf-f1f3b942349a · outbound

This paper cites Federated optimization in heterogeneous networks,.

Partially-Observable Transmission Control for UAV-Enabled Federated Learning in IoT Networks Federated optimization in heterogeneous networks,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:21:19.960047Z

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.

source=pdf_text observed=2026-08-15T15:21:19.595617Z digest=sha256:2a2eeb722a5eb2eed02cd7a9845a63f42fd0566dd24a4b38ad2ae3e434a36e42

Observation 543a527f-38ab-45d9-8811-984c6c11b30d · outbound

This paper cites Communication-Efficient Federated Learning with Adaptive Compression under Dynamic Bandwidth.

Partially-Observable Transmission Control for UAV-Enabled Federated Learning in IoT Networks Communication-Efficient Federated Learning with Adaptive Compression under Dynamic Bandwidth

Reference 9

Resolution
verified exact
local_arxiv, observed 2026-08-15T15:21:19.749709Z

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.

source=pdf_text observed=2026-08-15T15:21:19.600632Z digest=sha256:071d53bcd5740413f1432a8485e1308b6f0727131e652aad7bdda36a8e2c090a

Observation a38f9387-c7f4-48e6-9c44-105dc0509c4b · outbound

This paper cites Small-scale-fading-aware resource allo. in wireless federated lea.

Partially-Observable Transmission Control for UAV-Enabled Federated Learning in IoT Networks Small-scale-fading-aware resource allo. in wireless federated lea

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:21:19.943650Z

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.

source=pdf_text observed=2026-08-15T15:21:19.607446Z digest=sha256:e667269fb02f8ee674a6df9837f59d2fe76f8d35808e032b781a3e8782bde6ba

Observation 8f0ed844-d3c4-4361-975a-2a9fd4e61b3c · outbound

This paper cites Graph-based joint client clustering and resource allocation for wireless distributed learning: A new hierarchical federated learning framework with non-IID data,.

Partially-Observable Transmission Control for UAV-Enabled Federated Learning in IoT Networks Graph-based joint client clustering and resource allocation for wireless distributed learning: A new hierarchical federated learning framework with non-IID data,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:21:19.927369Z

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.

source=pdf_text observed=2026-08-15T15:21:19.613658Z digest=sha256:67f8e865db609264a6d7e7c0df584a40894bc3cadb770706b7ed38c7bd8fface

Observation a7967a03-1882-4c46-beec-45e5931cb620 · outbound

This paper cites Adaptive federated lea. over the air,.

Partially-Observable Transmission Control for UAV-Enabled Federated Learning in IoT Networks Adaptive federated lea. over the air,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:21:19.910615Z

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.

source=pdf_text observed=2026-08-15T15:21:19.618960Z digest=sha256:709f3a5215ee301a4c53ec2db7a42c49c3f63d37992578e36d7c42925e8a0fc8

Observation ad84560d-3c31-4289-987f-b667b083e6ee · outbound

This paper cites Federated learning via unmanned aerial vehicle,.

Partially-Observable Transmission Control for UAV-Enabled Federated Learning in IoT Networks Federated learning via unmanned aerial vehicle,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:21:19.893829Z

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.

source=pdf_text observed=2026-08-15T15:21:19.623667Z digest=sha256:61c2d1ddbe4f9e92fa835cc5087b07460552a9325a8427060c0cf3e319867484

Observation a39d77df-f3a5-4552-bb39-26b4c4f88947 · outbound

This paper cites Impact of an interfering node on unmanned aerial vehicle communications,.

Partially-Observable Transmission Control for UAV-Enabled Federated Learning in IoT Networks Impact of an interfering node on unmanned aerial vehicle communications,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:21:19.876015Z

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.

source=pdf_text observed=2026-08-15T15:21:19.628492Z digest=sha256:0e5b204a7b89ec514b8c162e46bb1f1497ae6de35908b80823f4302d2fcc260f

Observation 9ddd52ee-283e-4bdf-baf0-3c8a5846031e · outbound

This paper cites Performance analysis of RIS-assisted UA V communication in NOMA networks,.

Partially-Observable Transmission Control for UAV-Enabled Federated Learning in IoT Networks Performance analysis of RIS-assisted UA V communication in NOMA networks,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:21:19.856496Z

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.

source=pdf_text observed=2026-08-15T15:21:19.633009Z digest=sha256:fc649a32601e6cc863a754e8d994300e7ae7d0a0a973514284aa3a83703366bf

Observation 76acb8a8-17d7-4eea-a731-c912bba7597d · outbound

This paper cites To transmit or not to trans- mit? distributed queueing games in infrastructureless wireless networks,.

Partially-Observable Transmission Control for UAV-Enabled Federated Learning in IoT Networks To transmit or not to trans- mit? distributed queueing games in infrastructureless wireless networks,

Reference 16

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verified fuzzy
raw_fallback, observed 2026-08-15T15:21:19.836719Z

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.

source=pdf_text observed=2026-08-15T15:21:19.637746Z digest=sha256:40d7e3c6729429337260416df7393d64a131ee0d5be08fcfb22c057a6d9842cd

Observation c90c0b1f-e05e-4b49-8942-d91cbd53f44d · outbound

This paper cites Optimal tradeoff between sum-rate efficiency and jain’s fairness index in resource allocation,.

Partially-Observable Transmission Control for UAV-Enabled Federated Learning in IoT Networks Optimal tradeoff between sum-rate efficiency and jain’s fairness index in resource allocation,

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:21:19.817411Z

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.

source=pdf_text observed=2026-08-15T15:21:19.643279Z digest=sha256:f4642970c6cfde6553123bd8de6571376285d3b74476438e5311dcede2fa5981

Observation d557746e-ea30-48ea-b6e1-0cb50ddbe31e · outbound

This paper cites Distributed optimization and statistical learning via the alternating direction method of multipliers,.

Partially-Observable Transmission Control for UAV-Enabled Federated Learning in IoT Networks Distributed optimization and statistical learning via the alternating direction method of multipliers,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:21:19.799212Z

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.

source=pdf_text observed=2026-08-15T15:21:19.648889Z digest=sha256:7ad28cb00686e8df77832e871f371c328e9be3734fffebbb5a8e7a661b62a99a

Observation 0c0f04d4-436a-430d-8e19-7d857ac4a100 · outbound

This paper cites Learning multiple layers of features from tiny images,.

Partially-Observable Transmission Control for UAV-Enabled Federated Learning in IoT Networks Learning multiple layers of features from tiny images,

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-15T15:21:19.654571Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:21:19.654571Z digest=sha256:2f3c169c0266d8559d4496a558e1e99be1fa157afb67a3ee8843cf7b8d35dc62

Observation d56ac993-6057-42ff-a063-1b800a62436a · outbound

This paper cites Expanding the Reach of Federated Learning by Reducing Client Resource Requirements.

Partially-Observable Transmission Control for UAV-Enabled Federated Learning in IoT Networks Expanding the Reach of Federated Learning by Reducing Client Resource Requirements

Reference 20

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unresolved
no resolver link, observed 2026-08-15T15:21:19.659819Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:21:19.659819Z digest=sha256:5dbf1eb3a8bea4de09483816d284eb4dfce8ea8d90588f198e43404128967fa6

Observation 2794715d-8a34-4745-a14c-8d43bb82a9af · outbound

This paper cites Ensemble distillation for robust model fusion in federated learning,.

Partially-Observable Transmission Control for UAV-Enabled Federated Learning in IoT Networks Ensemble distillation for robust model fusion in federated learning,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:21:19.767683Z

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.

source=pdf_text observed=2026-08-15T15:21:19.666374Z digest=sha256:1f3ef727e786342e9e3e0ea91abbeb86de2b42e880f9af6926c973445d75ca73

Pith citing papers

No inbound Pith citation observations are available.