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Paper Citation Record · LEDGER

Federated Optimization in Heterogeneous Networks

As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 16 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 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 16 of 16 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T19:48:49.217549Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-10T06:15:00.866473Z

Reference resolution

0 of 0 outbound references displayed

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  • verified fuzzy0
  • unresolved0
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  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

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

Resolution
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 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-17T17:37:07.719640Z digest=sha256:e86604bf6bab871bb4ec7fb0bba12f777b25dcbb2d1a85902aa60bcb72812099

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 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-21T10:30:58.601351Z digest=sha256:7f189004168c5bb512b7f69434c081e38645de1066ccb76a7e51dbfa063676a0

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

Resolution
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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-23T01:03:26.037233Z digest=sha256:0f7a3726f6191787e2b7d69dd1923a649d766a87b5a55315b7a4d71f72412251

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

Resolution
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=sha256:9fd149b82cae8bb81f4e1e027a97a8ca53b084c0a8ddcf6cc30b15f69251b938

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=sha256:651d32efca33cf0c285f26b140849f05daf434fbd9c552b5f980d30ff63e8379

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-18T08:30:08.237450Z digest=sha256:4b70788ec1bccfd8ddd5c718f2fd09d5e7758a424208d42a668b4ec5ba3402d3

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

Resolution
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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T16:10:02.945855Z digest=sha256:557b1860318af5f83e91c237a773e02845ba8508c2d2efcf1edf31dd14ec7533

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 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-12T01:59:38.757943Z digest=sha256:df573741590601082c6045b4b36a25f932a2b9a1b569a3d44ba4636a871cf00c

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-21T06:09:45.435627Z digest=sha256:1c68916d27d02e3444ec725f118d5f9feb236510f72a8d80f23b57de15e2aff4

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-22T10:10:13.980897Z digest=sha256:6ce451615cce7ab37c774acb6f53947bf64f6c060a13d61ade6d4657c926ac9c

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-29T06:28:09.498288Z digest=sha256:0ca7908a6e3f2d7b4f9dd4f86af6b7579ad0375935d823624062562e345a03c2

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-28T13:38:48.333498Z digest=sha256:a6d6e1265233480026853f0688b3a3ee724bb31d69f2586f3a31576ea7de2779

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 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-07-02T19:44:47.733008Z digest=sha256:6ae22f4d3c62ef879be223c04dcadcefc5991681ca57b08311f52e8cb31d1ce3

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

Resolution
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=sha256:544cf3671e6c7fc96ce0d27fa0a3d19f7d2e7a9e92734eda93ade3861f4cd354

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

Resolution
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=sha256:6dbcc5664eb63e86ca7ad7d95976a9d09d4a89fae0e75b4d175a96f22a37b7d6

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=sha256:40faf1e92a1db1d030917494d929153b17212af75d33418c3f3fa77574e452a3