Paper Citation Record · LEDGER

Efficient Split Federated Learning for Large Language Models over Communication Networks

As of 20 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:2504.14667.

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

pith.paper-citation-record.v1
2504.14667 v2

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:48:04.177540Z

measured 40 of 40 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

40 of 40 outbound references displayed

verified exact0
verified fuzzy6
unresolved34
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 81825a40-c32d-461f-87dc-2c78c8655cf4 · outbound

This paper cites GPT-4 Technical Report.

Efficient Split Federated Learning for Large Language Models over Communication Networks GPT-4 Technical Report

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-16T11:48:04.008614Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f702b21b-9df0-4ab7-bec5-e04474061ea6 · outbound

This paper cites Palm: Scal- ing language modeling with pathways,.

Efficient Split Federated Learning for Large Language Models over Communication Networks Palm: Scal- ing language modeling with pathways,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-16T11:48:04.013361Z

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Observation d918aa23-2632-4f8f-89ad-3816d6f25124 · outbound

This paper cites Scaling Laws for Neural Language Models.

Efficient Split Federated Learning for Large Language Models over Communication Networks Scaling Laws for Neural Language Models

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-16T11:48:04.017421Z

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Observation 6d50eacc-95d4-4fcc-b7cb-b7abceb8e7d8 · outbound

This paper cites Large language models in medicine,.

Efficient Split Federated Learning for Large Language Models over Communication Networks Large language models in medicine,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-16T11:48:04.021958Z

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Observation 9741034d-3f68-42da-b58e-f2bb39e75265 · outbound

This paper cites BloombergGPT: A Large Language Model for Finance.

Efficient Split Federated Learning for Large Language Models over Communication Networks BloombergGPT: A Large Language Model for Finance

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-16T11:48:04.026964Z

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Observation 6b0ed9f9-f4d0-4cfa-9122-469d207688c9 · outbound

This paper cites FATE-LLM: A Industrial Grade Federated Learning Framework for Large Language Models.

Efficient Split Federated Learning for Large Language Models over Communication Networks FATE-LLM: A Industrial Grade Federated Learning Framework for Large Language Models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-16T11:48:04.031642Z

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Observation 249f3df4-85d5-4a78-87c7-99240270d188 · outbound

This paper cites Federatedscope-llm: A comprehensive package for fine-tuning large language models in federated learning,.

Efficient Split Federated Learning for Large Language Models over Communication Networks Federatedscope-llm: A comprehensive package for fine-tuning large language models in federated learning,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-16T11:48:04.036765Z

Source-reported events for the cited work

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Observation aae1a83f-5847-4169-9f22-db511cb3a243 · outbound

This paper cites Openfedllm: Training large language models on decentralized private data via federated learning,.

Efficient Split Federated Learning for Large Language Models over Communication Networks Openfedllm: Training large language models on decentralized private data via federated learning,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-16T11:48:04.041220Z

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Observation 08219bf5-1ef9-4ddb-944c-b0158e0d93d4 · outbound

This paper cites Federated Learning: Strategies for Improving Communication Efficiency.

Efficient Split Federated Learning for Large Language Models over Communication Networks Federated Learning: Strategies for Improving Communication Efficiency

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-16T11:48:04.045317Z

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Observation b063b98c-4c13-45f5-bd62-4101df296e54 · outbound

This paper cites Split learning for health: Distributed deep learning without sharing raw patient data.

Efficient Split Federated Learning for Large Language Models over Communication Networks Split learning for health: Distributed deep learning without sharing raw patient data

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-16T11:48:04.050256Z

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Observation dbccca27-5a0c-453b-8469-6291f1bdb486 · outbound

This paper cites Efficient parallel split learning over resource-constrained wireless edge networks,.

Efficient Split Federated Learning for Large Language Models over Communication Networks Efficient parallel split learning over resource-constrained wireless edge networks,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-16T11:48:04.055279Z

Source-reported events for the cited work

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Observation dd7d5bc8-3d7e-4071-b7f0-6dde59f5b18d · outbound

This paper cites Split learning in 6g edge networks,.

Efficient Split Federated Learning for Large Language Models over Communication Networks Split learning in 6g edge networks,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-16T11:48:04.059616Z

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Observation d3668cbb-287c-485e-9b98-12162b8862c0 · outbound

This paper cites Splitfed: When federated learning meets split learning,.

Efficient Split Federated Learning for Large Language Models over Communication Networks Splitfed: When federated learning meets split learning,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-16T11:48:04.064509Z

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Observation a4dcabed-4e1a-4290-a6ec-d9245db9e5ff · outbound

This paper cites Lora: Low-rank adaptation of large language models.

Efficient Split Federated Learning for Large Language Models over Communication Networks Lora: Low-rank adaptation of large language models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-16T11:48:04.069471Z

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Observation d3a31e50-96dc-450e-9cdb-54861d1b0b27 · outbound

This paper cites S-LoRA: Serving Thousands of Concurrent LoRA Adapters.

Efficient Split Federated Learning for Large Language Models over Communication Networks S-LoRA: Serving Thousands of Concurrent LoRA Adapters

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-16T11:48:04.073961Z

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Observation be8f34cd-67bf-474c-be35-d1185fe1d3e4 · outbound

This paper cites SplitLoRA: A Split Parameter-Efficient Fine-Tuning Framework for Large Language Models.

Efficient Split Federated Learning for Large Language Models over Communication Networks SplitLoRA: A Split Parameter-Efficient Fine-Tuning Framework for Large Language Models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-16T11:48:04.078196Z

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Observation 73d1ab55-e5e6-41f0-804f-20c71286194e · outbound

This paper cites Compression ratio allocation for probabilistic semantic communication with RSMA,.

Efficient Split Federated Learning for Large Language Models over Communication Networks Compression ratio allocation for probabilistic semantic communication with RSMA,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-16T11:48:04.082587Z

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Observation d659854a-2112-4830-8ef1-c60243906cc1 · outbound

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

Efficient Split Federated Learning for Large Language Models over Communication Networks Distributed learning in wireless networks: Recent progress and future challenges,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-16T11:48:04.086511Z

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Observation c673b900-cd3e-43df-8c36-d3570478eacb · outbound

This paper cites Speeding up distributed machine learning using codes,.

Efficient Split Federated Learning for Large Language Models over Communication Networks Speeding up distributed machine learning using codes,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-16T11:48:04.090605Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 46fea58a-2dbc-4c9c-910b-06c4840459e7 · outbound

This paper cites Toward energy- efficient federated learning over 5g+ mobile devices,.

Efficient Split Federated Learning for Large Language Models over Communication Networks Toward energy- efficient federated learning over 5g+ mobile devices,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-16T11:48:04.094968Z

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Observation 36af39aa-57a2-4b7c-b3d1-cd9ccac2aaad · outbound

This paper cites Service delay minimization for federated learning over mobile devices,.

Efficient Split Federated Learning for Large Language Models over Communication Networks Service delay minimization for federated learning over mobile devices,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-16T11:48:04.099633Z

Source-reported events for the cited work

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Observation 1f88f24f-65ff-4620-aa69-1f8db7b45c76 · outbound

This paper cites Toward an automated auction framework for wireless federated learning services market,.

Efficient Split Federated Learning for Large Language Models over Communication Networks Toward an automated auction framework for wireless federated learning services market,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:48:04.506464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 27e09b8a-aa11-4818-871d-0f8b6e5f5911 · outbound

This paper cites Federated learning over multi- hop wireless networks with in-network aggregation,.

Efficient Split Federated Learning for Large Language Models over Communication Networks Federated learning over multi- hop wireless networks with in-network aggregation,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-16T11:48:04.107914Z

Source-reported events for the cited work

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Observation 98b5fdd1-8c78-4e5e-aeba-a7ef61e6b2e0 · outbound

This paper cites Client selection and bandwidth allocation in wireless federated learning networks: A long-term perspective,.

Efficient Split Federated Learning for Large Language Models over Communication Networks Client selection and bandwidth allocation in wireless federated learning networks: A long-term perspective,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-16T11:48:04.111571Z

Source-reported events for the cited work

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Observation 4a1f2ca6-5382-4294-9b29-8edff93c6890 · outbound

This paper cites Split learning over wireless networks: Parallel design and resource management,.

Efficient Split Federated Learning for Large Language Models over Communication Networks Split learning over wireless networks: Parallel design and resource management,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-16T11:48:04.115643Z

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Observation b52aebcc-69ef-40d6-ac4f-830979e3b752 · outbound

This paper cites AdaptSFL: Adaptive Split Federated Learning in Resource-constrained Edge Networks.

Efficient Split Federated Learning for Large Language Models over Communication Networks AdaptSFL: Adaptive Split Federated Learning in Resource-constrained Edge Networks

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-16T11:48:04.119461Z

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Observation 4eb69142-09fe-4246-8869-abf508797413 · outbound

This paper cites Wireless distributed learning: A new hybrid split and federated learning approach,.

Efficient Split Federated Learning for Large Language Models over Communication Networks Wireless distributed learning: A new hybrid split and federated learning approach,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:48:04.462756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 03ea8537-a36c-41e7-91b5-1c6b65e1b6c8 · outbound

This paper cites A joint communication and learning framework for hierarchical split federated learning,.

Efficient Split Federated Learning for Large Language Models over Communication Networks A joint communication and learning framework for hierarchical split federated learning,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-16T11:48:04.128320Z

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Observation 84eea9ad-f300-43f8-ad04-da2baef95944 · outbound

This paper cites Ringsfl: An adaptive split federated learning towards taming client heterogeneity,.

Efficient Split Federated Learning for Large Language Models over Communication Networks Ringsfl: An adaptive split federated learning towards taming client heterogeneity,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:48:04.439695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e2f5c507-18b5-42b2-b685-5d5efc21673d · outbound

This paper cites Deep residual learning for image recognition,.

Efficient Split Federated Learning for Large Language Models over Communication Networks Deep residual learning for image recognition,

Reference 30

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Observation b2b87a5c-f674-4da2-84e8-a8543840cb41 · outbound

This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

Efficient Split Federated Learning for Large Language Models over Communication Networks Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-16T11:48:04.140951Z

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Observation 2dca9abe-b598-4af1-a969-488baa76c4ed · outbound

This paper cites Imagenet classification with deep convolutional neural networks,.

Efficient Split Federated Learning for Large Language Models over Communication Networks Imagenet classification with deep convolutional neural networks,

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-16T11:48:04.145517Z

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Observation 66b2b496-0fbd-4813-ace7-33171bd99e9c · outbound

This paper cites Low-parameter federated learning with large language models,.

Efficient Split Federated Learning for Large Language Models over Communication Networks Low-parameter federated learning with large language models,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:48:04.407581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 94afeece-20bf-4f6d-a4b9-f4799095a90b · outbound

This paper cites Federated Co-tuning Framework for Large and Small Language Models.

Efficient Split Federated Learning for Large Language Models over Communication Networks Federated Co-tuning Framework for Large and Small Language Models

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-16T11:48:04.153347Z

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Observation cbda6f38-1a39-4e00-92f4-9e4fa819f5bc · outbound

This paper cites Accelerating split federated learning over wireless communication networks,.

Efficient Split Federated Learning for Large Language Models over Communication Networks Accelerating split federated learning over wireless communication networks,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:48:04.392842Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 49fcbbb2-e4c9-4703-9c89-2ef56f3de89d · outbound

This paper cites Esfl: Ef- ficient split federated learning over resource-constrained heterogeneous wireless devices,.

Efficient Split Federated Learning for Large Language Models over Communication Networks Esfl: Ef- ficient split federated learning over resource-constrained heterogeneous wireless devices,

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-16T11:48:04.161384Z

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Observation 69a7d34a-e952-4993-878a-3abd8c7293a0 · outbound

This paper cites Applications of second-order cone programming,.

Efficient Split Federated Learning for Large Language Models over Communication Networks Applications of second-order cone programming,

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-16T11:48:04.165510Z

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Observation db28492d-cf52-4dbb-a6d5-fc0ec98f2c1f · outbound

This paper cites Edge and central cloud computing: A perfect pairing for high energy efficiency and low-latency,.

Efficient Split Federated Learning for Large Language Models over Communication Networks Edge and central cloud computing: A perfect pairing for high energy efficiency and low-latency,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:48:04.364571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ea902c72-a666-417d-a87f-c6e00e6010ef · outbound

This paper cites The E2E Dataset: New Challenges For End-to-End Generation.

Efficient Split Federated Learning for Large Language Models over Communication Networks The E2E Dataset: New Challenges For End-to-End Generation

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-16T11:48:04.173010Z

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Unavailable: canonical work link unavailable.

Observation 4c0ced51-fd8f-4af0-941d-9969d3eef294 · outbound

This paper cites Language models are unsupervised multitask learners,.

Efficient Split Federated Learning for Large Language Models over Communication Networks Language models are unsupervised multitask learners,

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-16T11:48:04.177540Z

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Pith citing papers

No inbound Pith citation observations are available.