Paper Citation Record · LEDGER

Federated Split Learning with Model Pruning and Gradient Quantization in Wireless Networks

As of 18 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2412.06414.

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

pith.paper-citation-record.v1
2412.06414 v2

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T19:45:32.388062Z

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

15 of 15 outbound references displayed

verified exact0
verified fuzzy10
unresolved5
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b6a71975-b902-42e9-b8f1-a2656c16dd5a · outbound

This paper cites Federated learning over wireless networks: Con- vergence analysis and resource allocation,.

Federated Split Learning with Model Pruning and Gradient Quantization in Wireless Networks Federated learning over wireless networks: Con- vergence analysis and resource allocation,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:45:32.513254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3902b38d-dbc3-43c0-9e12-a9c12a7856ac · outbound

This paper cites FedSL: Federated split learning for collaborative healthcare analytics on resource-constrained wearable iomt devices,.

Federated Split Learning with Model Pruning and Gradient Quantization in Wireless Networks FedSL: Federated split learning for collaborative healthcare analytics on resource-constrained wearable iomt devices,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:45:32.505438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ab5a296c-5497-4699-8d44-068b5d61eca4 · outbound

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

Federated Split Learning with Model Pruning and Gradient Quantization in Wireless Networks SplitFed: When federated learning meets split learning,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:45:32.497350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b617e984-5112-4bfc-a010-dda2dca23c6c · outbound

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

Federated Split Learning with Model Pruning and Gradient Quantization in Wireless Networks Efficient parallel split learning over resource-constrained wireless edge networks,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:45:32.489912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2c0e4812-82be-4f5c-b780-53b43149f920 · outbound

This paper cites Accelerating split federated learning over wireless com- munication networks,.

Federated Split Learning with Model Pruning and Gradient Quantization in Wireless Networks Accelerating split federated learning over wireless com- munication networks,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:45:32.481995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4db19207-beaa-42c2-bb82-b50df3e36b05 · outbound

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

Federated Split Learning with Model Pruning and Gradient Quantization in Wireless Networks AdaptSFL: Adaptive Split Federated Learning in Resource-constrained Edge Networks

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-11T19:45:32.368436Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 930ecf08-b713-4e2b-a244-9362214dab61 · outbound

This paper cites Importance estimation for neural network pruning,.

Federated Split Learning with Model Pruning and Gradient Quantization in Wireless Networks Importance estimation for neural network pruning,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:45:32.473557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 0ff89d80-3881-44d9-ada3-814d509f0745 · outbound

This paper cites PLATON: Pruning large transformer models with upper confidence bound of weight importance,.

Federated Split Learning with Model Pruning and Gradient Quantization in Wireless Networks PLATON: Pruning large transformer models with upper confidence bound of weight importance,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:45:32.465544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ab1ce143-6283-4e29-884d-231f5e02e68e · outbound

This paper cites To prune, or not to prune: exploring the efficacy of pruning for model compression.

Federated Split Learning with Model Pruning and Gradient Quantization in Wireless Networks To prune, or not to prune: exploring the efficacy of pruning for model compression

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-11T19:45:32.377002Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 40494976-0b6d-4d06-a586-5131b9fc25a3 · outbound

This paper cites Federated Learning With Quantized Global Model Updates.

Federated Split Learning with Model Pruning and Gradient Quantization in Wireless Networks Federated Learning With Quantized Global Model Updates

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-11T19:45:32.380255Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 35f13aee-c002-4266-8a95-5a202317c089 · outbound

This paper cites FedPAQ: A communication-efficient federated learning method with periodic averaging and quantization,.

Federated Split Learning with Model Pruning and Gradient Quantization in Wireless Networks FedPAQ: A communication-efficient federated learning method with periodic averaging and quantization,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:45:32.457391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ded165ba-ebc2-4f00-a59f-0168614d47b4 · outbound

This paper cites Sparsified SGD with memory,.

Federated Split Learning with Model Pruning and Gradient Quantization in Wireless Networks Sparsified SGD with memory,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:45:32.449197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation bc2e08d9-78e1-4a80-9f99-bea6f9a24eed · outbound

This paper cites Quantized federated learning under transmission delay and outage constraints,.

Federated Split Learning with Model Pruning and Gradient Quantization in Wireless Networks Quantized federated learning under transmission delay and outage constraints,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:45:32.441104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d5f68fa6-27dc-4ab3-bcd5-3ec949d17034 · outbound

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

Federated Split Learning with Model Pruning and Gradient Quantization in Wireless Networks Split learning for health: Distributed deep learning without sharing raw patient data

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-11T19:45:32.347563Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b4a498e9-8335-4a7f-a98a-1677841edce3 · outbound

This paper cites Server-Side Local Gradient Averaging and Learning Rate Acceleration for Scalable Split Learning.

Federated Split Learning with Model Pruning and Gradient Quantization in Wireless Networks Server-Side Local Gradient Averaging and Learning Rate Acceleration for Scalable Split Learning

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-11T19:45:32.363143Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.