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Paper Citation Record · LEDGER

Federated Optimization in Heterogeneous Networks

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 19 inbound Pith citation observations for arXiv:1812.06127.

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

pith.paper-citation-record.v1
1812.06127 v5

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 19 of 19 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 19 of 19 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:52:35.739963Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

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  • malformed identifier0
  • metadata mismatch0

External citation measurements

452
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 84da2005-9ec8-4e29-9021-caab101eb998 · inbound

Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification cites this paper.

Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification Federated Optimization in Heterogeneous Networks

Reference 22

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metadata mismatch
arxiv_id, observed 2026-05-17T17:37:07.775072Z

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=arxiv_source observed=2026-05-17T17:37:07.719640Z digest=sha256:a73b185291ddf19ed25a82c5f79cc3edc11ce02a32ec64445cc564ad51fc07b6

Observation 9dc36f0b-3ff2-4c51-ad23-6b92dfb8f5e4 · inbound

Adaptive Federated Optimization cites this paper.

Adaptive Federated Optimization Federated Optimization in Heterogeneous Networks

Reference 224

Resolution
verified exact
arxiv_id, observed 2026-05-21T10:30:58.837651Z

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=arxiv_source observed=2026-05-21T10:30:58.601351Z digest=sha256:5ddca38179fce1e60e4b097622186bc575d47eb4570122bd227a3ab4a5b5ee8e

Observation e2f8194d-f4df-4ff6-8e4a-f9178e4c369c · inbound

Will LLMs Scaling Hit the Wall? Breaking Barriers via Distributed Resources on Massive Edge Devices cites this paper.

Will LLMs Scaling Hit the Wall? Breaking Barriers via Distributed Resources on Massive Edge Devices Federated Optimization in Heterogeneous Networks

Reference 126

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verified exact
arxiv_id, observed 2026-05-23T01:05:16.276474Z

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=2026-05-23T01:03:26.037233Z digest=sha256:4fb724991ba6100459fdf243d3b2ea212543d9d257c7a88fc29aea7ba7e1ef65

Observation 486ca158-8651-4c8f-b270-3ba74ca47521 · inbound

AFBS:Buffer Gradient Selection in Semi-asynchronous Federated Learning cites this paper.

AFBS:Buffer Gradient Selection in Semi-asynchronous Federated Learning Federated Optimization in Heterogeneous Networks

Reference 15

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unresolved
no resolver link, observed 2026-08-07T00:52:35.739963Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:52:35.739963Z digest=sha256:2d99604782e656404a85efd8c94f121c0e990c567c0749704f22c14acabbca1e

Observation 5818b379-b891-4631-8e1a-da09f8f83197 · inbound

FedCLAM: Client Adaptive Momentum with Foreground Intensity Matching for Federated Medical Image Segmentation cites this paper.

FedCLAM: Client Adaptive Momentum with Foreground Intensity Matching for Federated Medical Image Segmentation Federated Optimization in Heterogeneous Networks

Reference 17

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unresolved
no resolver link, observed 2026-08-06T22:08:37.841336Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:08:37.841336Z digest=sha256:a2ddb91e8ad7a1ba617cd03fb92396df7ea8e34ea0bba51cc1a1a7abb0e5fa0a

Observation 1048e8be-0ed4-4b73-b7b3-1fbbd43301ac · inbound

FedEve: On Bridging the Client Drift and Period Drift for Cross-device Federated Learning cites this paper.

FedEve: On Bridging the Client Drift and Period Drift for Cross-device Federated Learning Federated Optimization in Heterogeneous Networks

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-05T18:34:15.615200Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T18:34:15.615200Z digest=sha256:f2df64f4d031f58d538c9d4c966dc931d9dac99fb85c8c53df652aaca8d5a0bf

Observation 73461cf1-0403-4934-88c5-0808127f3218 · inbound

DP-FedLoRA: Privacy-Enhanced Federated Fine-Tuning for On-Device Large Language Models cites this paper.

DP-FedLoRA: Privacy-Enhanced Federated Fine-Tuning for On-Device Large Language Models Federated Optimization in Heterogeneous Networks

Reference 35

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unresolved
no resolver link, observed 2026-08-04T19:48:49.217549Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T19:48:49.217549Z digest=sha256:4f0022161d60bb5f6d45649d3b93b6a6a4d34c413b58bdc0a4e4bbf5379143ea

Observation 53952225-be84-4b2a-92a7-f07169113d76 · inbound

Taming Volatility: Stable and Private QUIC Classification with Federated Learning cites this paper.

Taming Volatility: Stable and Private QUIC Classification with Federated Learning Federated Optimization in Heterogeneous Networks

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-04T18:22:42.836893Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T18:22:42.836893Z digest=sha256:09040549a13762b8e85fe353177ac73ba5a4bb90b161a7d85d9abbc23dd5bfa9

Observation af944b10-89c8-4112-934b-abec1ef0aeea · inbound

Exploring Cross-Client Memorization of Training Data in Large Language Models for Federated Learning cites this paper.

Exploring Cross-Client Memorization of Training Data in Large Language Models for Federated Learning Federated Optimization in Heterogeneous Networks

Reference 4

Resolution
metadata mismatch
arxiv_id, observed 2026-05-18T08:31:06.792772Z

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=2026-05-18T08:30:08.237450Z digest=sha256:40e14809de90432ff6890a0f56dc23efeb26fced3a77586b9f49a17c9048b391

Observation de0ae619-6f6f-4797-bf9f-c459ae7cf95d · inbound

The Impact of Federated Learning on Distributed Remote Sensing Archives cites this paper.

The Impact of Federated Learning on Distributed Remote Sensing Archives Federated Optimization in Heterogeneous Networks

Reference 5

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verified exact
arxiv_id, observed 2026-05-11T09:16:00.703160Z

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=2026-05-10T16:10:02.945855Z digest=sha256:283951309378b56334b85831f6f3c5fe23de6bd73e78f097c6b8b94eda017189

Observation 37355a42-37f3-40fa-a390-6150eb192391 · inbound

Evaluating Federated Learning approaches for mammography under breast density heterogeneity cites this paper.

Evaluating Federated Learning approaches for mammography under breast density heterogeneity Federated Optimization in Heterogeneous Networks

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-05-12T02:01:14.347189Z

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=arxiv_source observed=2026-05-12T01:59:38.757943Z digest=sha256:23ebe214a888bacf40ccbb79021f38177455a4cc997130f37f150e2d779f5cc1

Observation 2ef77a10-3dbc-4e23-b5a3-a8cb8caf6a10 · inbound

Choose Wisely and Privately: Proactive Client Selection for Fair and Efficient Federated Learning cites this paper.

Choose Wisely and Privately: Proactive Client Selection for Fair and Efficient Federated Learning Federated Optimization in Heterogeneous Networks

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-21T06:13:59.725394Z

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=2026-05-21T06:09:45.435627Z digest=sha256:0453cdb3efb839e6dfe3a66fe592e72ab4067e85c9ef846efaf904bfa3fc278b

Observation 9a0f15ea-8a46-4514-9d96-086fea625eda · inbound

Choose Wisely and Privately: Proactive Client Selection for Fair and Efficient Federated Learning cites this paper.

Choose Wisely and Privately: Proactive Client Selection for Fair and Efficient Federated Learning Federated Optimization in Heterogeneous Networks

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-22T10:11:22.944641Z

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=2026-05-22T10:10:13.980897Z digest=sha256:db2e51ed4b5df4e4a179aede41af085be5ec71d198f595395c24ed1c0024a041

Observation ff2fda8f-afb6-414b-9ecf-99b23c221a25 · inbound

XAI-SOH-FL: Enhancing SOH-FL with Adaptive Aggregation and Explainable AI for Intrusion Detection in Heterogeneous IoT cites this paper.

XAI-SOH-FL: Enhancing SOH-FL with Adaptive Aggregation and Explainable AI for Intrusion Detection in Heterogeneous IoT Federated Optimization in Heterogeneous Networks

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-06-29T06:33:12.201931Z

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=2026-06-29T06:28:09.498288Z digest=sha256:ed903886ef4a1b924b11eb8cbb2a65b3a2c02fadf5789dc941512397280a4e36

Observation 95abccf9-064c-4f2d-83f2-f49b8f928d6a · inbound

Echelon: Auditable Aggregate-Only Language-Model Adaptation Across Privacy Boundaries cites this paper.

Echelon: Auditable Aggregate-Only Language-Model Adaptation Across Privacy Boundaries Federated Optimization in Heterogeneous Networks

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-07-02T00:06:23.672398Z

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=2026-06-28T13:38:48.333498Z digest=sha256:da0c9c9f62620b04f62c97a076dfb8bd9a215882c411af01d540856dfe3bcf54

Observation 68469b73-9c74-41a4-a56e-8e29efb1a367 · inbound

TallyTrain: Communication-Efficient Federated Distillation cites this paper.

TallyTrain: Communication-Efficient Federated Distillation Federated Optimization in Heterogeneous Networks

Reference 28

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T19:47:18.790033Z

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=arxiv_source observed=2026-07-02T19:44:47.733008Z digest=sha256:2cda605c3589de33be2c3372c7fb58a33d71bb9569294d1f70d5048620cf6ca2

Observation 9fb74201-be08-430d-94b5-2bf8c6c332b1 · inbound

FedProIn: Mitigating Client Drift for Learnable Prototypes in Federated Medical Imaging cites this paper.

FedProIn: Mitigating Client Drift for Learnable Prototypes in Federated Medical Imaging Federated Optimization in Heterogeneous Networks

Reference 7

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unresolved
no resolver link, observed 2026-07-11T21:16:48.107120Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T21:16:48.107120Z digest=sha256:c7a26bb5ba38962f41fd2c7c10fb82cb45097302eefbe29700545482f0babdb2

Observation 29f55cac-667c-46f4-b24f-9f290d5a4796 · inbound

FedFFT: Taming Client Drift in Federated SAM via Spectral Perturbation Filtering cites this paper.

FedFFT: Taming Client Drift in Federated SAM via Spectral Perturbation Filtering Federated Optimization in Heterogeneous Networks

Reference 12

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unresolved
no resolver link, observed 2026-07-11T21:13:04.339445Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T21:13:04.339445Z digest=sha256:f934ac90c8402499f616660dd0c9fc31740373c8536e405bd7b7a98e928d679f

Observation 30db0ea8-885a-4f37-b116-cfe958aa2877 · inbound

Federated Lightweight Fine-Tuning cites this paper.

Federated Lightweight Fine-Tuning Federated Optimization in Heterogeneous Networks

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-01T17:36:04.704071Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T17:36:04.704071Z digest=sha256:e16cb9a2b7853e9669ce96eb9222312a0ee095c630e972370524fd9015a682a5