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Paper Citation Record · LEDGER

Service Function Chaining Architecture for Multi-hop Split Inference and Learning

As of 11 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 1 inbound Pith citation observation for arXiv:2509.10001.

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

pith.paper-citation-record.v1
2509.10001 v1

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T18:22:21.009106Z

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-07T15:22:24.831306Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T00:26:16.446216Z

Reference resolution

34 of 34 outbound references displayed

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  • verified fuzzy0
  • unresolved34
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 859f63fb-ccb0-4d77-b34d-b64ca8b98eb9 · outbound

This paper cites Service Function Chaining (SFC) Architecture,.

Service Function Chaining Architecture for Multi-hop Split Inference and Learning Service Function Chaining (SFC) Architecture,

Reference 1

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source=pdf_text observed=2026-08-04T18:22:20.868234Z digest=sha256:bf822f06009ddf59590db39cf33ad9ea559f5e5b73dd87192963b1109afe581a

Observation 631af773-7d2f-432c-bca3-613d214a8f26 · outbound

This paper cites The Impact of the EU General Data Protection Regulation on Scientific Research,.

Service Function Chaining Architecture for Multi-hop Split Inference and Learning The Impact of the EU General Data Protection Regulation on Scientific Research,

Reference 2

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source=pdf_text observed=2026-08-04T18:22:20.873658Z digest=sha256:caddcaffa575677bf923c44c9d97280ab92a90d42956cfbc4bcea7658aec6c26

Observation 5858c801-426c-4222-b91b-d2cb887310ed · outbound

This paper cites Splitfed learning without client-side synchronization: Analyzing client-side split network portion size to overall performance.

Service Function Chaining Architecture for Multi-hop Split Inference and Learning Splitfed learning without client-side synchronization: Analyzing client-side split network portion size to overall performance

Reference 3

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source=pdf_text observed=2026-08-04T18:22:20.877765Z digest=sha256:11d439a2259487baebc1714e89f51557d3b6c9981283acfae08bf8f33c2275b9

Observation 1f902b30-1eda-4391-b722-ef091798de6c · outbound

This paper cites Hierarchical Split Federated Learning: Convergence Analysis and System Optimization.

Service Function Chaining Architecture for Multi-hop Split Inference and Learning Hierarchical Split Federated Learning: Convergence Analysis and System Optimization

Reference 4

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source=pdf_text observed=2026-08-04T18:22:20.882449Z digest=sha256:b50064e6b358d7098f9fcc0cd959ca08387e52d9095f10e49c5c0f34c5c9d1a2

Observation 899ff3b7-d744-45dd-b70a-9e1ee602aada · outbound

This paper cites MP-SL: Multihop Parallel Split Learning.

Service Function Chaining Architecture for Multi-hop Split Inference and Learning MP-SL: Multihop Parallel Split Learning

Reference 5

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source=pdf_text observed=2026-08-04T18:22:20.887176Z digest=sha256:efeda3356895b34cbbae0e01127d4acdfc1f02329e66a04d9d2641c63f07c7d3

Observation e47afd66-6562-4c2a-9e89-b285e777120b · outbound

This paper cites Segment Routing over IPv6 (SRv6) Network Programming,.

Service Function Chaining Architecture for Multi-hop Split Inference and Learning Segment Routing over IPv6 (SRv6) Network Programming,

Reference 6

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source=pdf_text observed=2026-08-04T18:22:20.892066Z digest=sha256:3df1f699da96803fdc1cfbe05c2ff6d497a193a8b9a9f6447e242d4a88e48b70

Observation fb7140aa-c340-450e-87ff-830620b1698a · outbound

This paper cites Transparent Proxy Support,.

Service Function Chaining Architecture for Multi-hop Split Inference and Learning Transparent Proxy Support,

Reference 7

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source=pdf_text observed=2026-08-04T18:22:20.896800Z digest=sha256:83369ff3af12c807f0ae684ef338630323b07556b2fac7a1b5f152cbf853d59a

Observation 9983d286-ff36-4978-8aeb-15abcbd81721 · outbound

This paper cites A Caching SFC Proxy Based on eBPF,.

Service Function Chaining Architecture for Multi-hop Split Inference and Learning A Caching SFC Proxy Based on eBPF,

Reference 8

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source=pdf_text observed=2026-08-04T18:22:20.900549Z digest=sha256:a2b3f84d82765c04b9de93dd2a1fd75405606f52c62c52cb47abe94801658d4e

Observation fff2a5fe-c0c2-492f-a04f-35bdffd7f9b8 · outbound

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

Service Function Chaining Architecture for Multi-hop Split Inference and Learning Split learning for health: Distributed deep learning without sharing raw patient data

Reference 9

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source=pdf_text observed=2026-08-04T18:22:20.904575Z digest=sha256:bc8d481d2a40a37a2c8f0dbcc970e9f22a5e5563137acca8621ca25bd0245020

Observation 4de46cf0-8210-4548-9a71-3952a38655f5 · outbound

This paper cites SplitFed: When Federated Learning Meets Split Learning,.

Service Function Chaining Architecture for Multi-hop Split Inference and Learning SplitFed: When Federated Learning Meets Split Learning,

Reference 10

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source=pdf_text observed=2026-08-04T18:22:20.909121Z digest=sha256:209a4e1682294bf167afc396fb339a7efb97d5e5d96d06d095c12cfc50f53179

Observation aec0834c-ee64-48e3-b7a7-b9c320cda28e · outbound

This paper cites A Bargaining Game for Personal- ized, Energy Efficient Split Learning over Wireless Networks,.

Service Function Chaining Architecture for Multi-hop Split Inference and Learning A Bargaining Game for Personal- ized, Energy Efficient Split Learning over Wireless Networks,

Reference 11

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source=pdf_text observed=2026-08-04T18:22:20.913155Z digest=sha256:9270c00df77f1ed0255af4e3605fe874641407692046b7016f9f3ff2c73000ba

Observation 0ab52956-89f3-4044-9fbd-8373523a535b · outbound

This paper cites Efficient Parallel Split Learning Over Resource-Constrained Wireless Edge Networks,.

Service Function Chaining Architecture for Multi-hop Split Inference and Learning Efficient Parallel Split Learning Over Resource-Constrained Wireless Edge Networks,

Reference 12

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source=pdf_text observed=2026-08-04T18:22:20.917341Z digest=sha256:34933535f7bfbf91ae354edec5e5a246f717aeb52df7f146be26ce8de9ae9d89

Observation a9cc756c-d2ca-4038-8265-90594784b3b4 · outbound

This paper cites Model Compression and Hardware Acceleration for Neural Networks: A Comprehensive Survey,.

Service Function Chaining Architecture for Multi-hop Split Inference and Learning Model Compression and Hardware Acceleration for Neural Networks: A Comprehensive Survey,

Reference 13

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source=pdf_text observed=2026-08-04T18:22:20.921648Z digest=sha256:3bf61c6afbc7eb05ccd5cd354c64f8a1a591c0723882adc293446368df7fa441

Observation 1c762bcb-bbbc-40d1-9481-9e0eeef19490 · outbound

This paper cites Communication and Computation Reduction for Split Learning using Asynchronous Training,.

Service Function Chaining Architecture for Multi-hop Split Inference and Learning Communication and Computation Reduction for Split Learning using Asynchronous Training,

Reference 14

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source=pdf_text observed=2026-08-04T18:22:20.925668Z digest=sha256:f3b1e98df84ddee3296019f81aa3b79f691f11dcbc022245ea9c84c82219b491

Observation 2df0c077-f1af-4ac1-af31-c095f7d200aa · outbound

This paper cites HiveMind: Towards Cellular Native Machine Learning Model Splitting,.

Service Function Chaining Architecture for Multi-hop Split Inference and Learning HiveMind: Towards Cellular Native Machine Learning Model Splitting,

Reference 15

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source=pdf_text observed=2026-08-04T18:22:20.929533Z digest=sha256:ec6793af57246cedd26f56b017570401cb73af5a39e99d243a3546c2f0e022ef

Observation c869f5ed-068b-4b7c-8fb5-02783bc39825 · outbound

This paper cites Accelerating Virtual Network Functions With Fast-Slow Path Architecture Using eXpress Data Path,.

Service Function Chaining Architecture for Multi-hop Split Inference and Learning Accelerating Virtual Network Functions With Fast-Slow Path Architecture Using eXpress Data Path,

Reference 16

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source=pdf_text observed=2026-08-04T18:22:20.933124Z digest=sha256:80709c7be1e115fd75e2adad5f358c942c14ef4f1e44ee7a6e18278df4e6fd5f

Observation 13f5c352-118e-43fc-a6a0-279ba511f2a4 · outbound

This paper cites On Achieving Trustworthy Service Function Chaining,.

Service Function Chaining Architecture for Multi-hop Split Inference and Learning On Achieving Trustworthy Service Function Chaining,

Reference 17

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source=pdf_text observed=2026-08-04T18:22:20.937043Z digest=sha256:388828448c1aed1989cc9ba9d09f528d6b5ca104f6c235b470c4c85dbbcf8c12

Observation 8e934960-7970-4689-b1df-f4f72593d4cb · outbound

This paper cites eBPF-Based Ordered Proof of Transit for Trustworthy Service Function Chaining,.

Service Function Chaining Architecture for Multi-hop Split Inference and Learning eBPF-Based Ordered Proof of Transit for Trustworthy Service Function Chaining,

Reference 18

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source=pdf_text observed=2026-08-04T18:22:20.940938Z digest=sha256:bc429ce0599283e97883490902a50e57eabcc47d167b285ec72aede69764617f

Observation 2791b8a2-7023-4541-ab22-1b18fb9ca49b · outbound

This paper cites SARENA: SFC-Enabled Architecture for Adaptive Video Streaming Applications,.

Service Function Chaining Architecture for Multi-hop Split Inference and Learning SARENA: SFC-Enabled Architecture for Adaptive Video Streaming Applications,

Reference 19

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Observation 2bccec65-3f81-40a8-845a-3c7f886b7d29 · outbound

This paper cites SRv6Pipes: Enabling In- Network Bytestream Functions,.

Service Function Chaining Architecture for Multi-hop Split Inference and Learning SRv6Pipes: Enabling In- Network Bytestream Functions,

Reference 20

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source=pdf_text observed=2026-08-04T18:22:20.949183Z digest=sha256:b0eb8b5b60d41b7c677bb13d9a932a28fe9065a458c39a88ff8f9391c55f4f4f

Observation 342ad531-89e6-4a50-a479-78e7c580144c · outbound

This paper cites Segment Routing: A Com- prehensive Survey of Research Activities, Standardization Efforts, and Implementation Results,.

Service Function Chaining Architecture for Multi-hop Split Inference and Learning Segment Routing: A Com- prehensive Survey of Research Activities, Standardization Efforts, and Implementation Results,

Reference 21

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source=pdf_text observed=2026-08-04T18:22:20.953947Z digest=sha256:fb9ac43146c8fa909e29bb7b6b820acc64b33a6894e42d5aee22b291854a3146

Observation 932a6cd9-3371-439e-9f06-93e9d89703f2 · outbound

This paper cites iptables Project Homepage,.

Service Function Chaining Architecture for Multi-hop Split Inference and Learning iptables Project Homepage,

Reference 22

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source=pdf_text observed=2026-08-04T18:22:20.958776Z digest=sha256:4343a61f491ab77982d2330327e8d36fdf6c4d8a18aa4cd127258516d9ba835d

Observation fd9f2168-87a5-4b62-9a69-59a23451a286 · outbound

This paper cites eBPF: A New Approach to Cloud-Native Observability, Networking and Security for Current (5G) and Future Mobile Networks (6G and Beyond),.

Service Function Chaining Architecture for Multi-hop Split Inference and Learning eBPF: A New Approach to Cloud-Native Observability, Networking and Security for Current (5G) and Future Mobile Networks (6G and Beyond),

Reference 23

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source=pdf_text observed=2026-08-04T18:22:20.962929Z digest=sha256:cd43f6fbbf6f0d7ad79c2fea71d803932da58ecaa496a0c8689155b5da666563

Observation dd0fdd53-bd47-4bf1-8b1a-fa0f70017b96 · outbound

This paper cites Extended Berkeley Packet Filter: An Application Perspective,.

Service Function Chaining Architecture for Multi-hop Split Inference and Learning Extended Berkeley Packet Filter: An Application Perspective,

Reference 24

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source=pdf_text observed=2026-08-04T18:22:20.968158Z digest=sha256:3ba686b5e90ead9e24808db28df203dbea9fa03f84a1a56a189b55c7c75913d2

Observation a1a97574-1c38-4fd2-9a0a-6ce244cb671e · outbound

This paper cites eBPF/XDP Based Network Traffic Visualization and DoS Mitigation for Intelligent Service Protec- tion,.

Service Function Chaining Architecture for Multi-hop Split Inference and Learning eBPF/XDP Based Network Traffic Visualization and DoS Mitigation for Intelligent Service Protec- tion,

Reference 25

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source=pdf_text observed=2026-08-04T18:22:20.972121Z digest=sha256:0301e974c2fa214723892b6fa1c3dea34fb41c954161729e582b15b253b8cf15

Observation b86dbff7-54f7-4c38-a6de-b7992804a9da · outbound

This paper cites Leveraging eBPF for Programmable Network Functions with IPv6 Segment Routing,.

Service Function Chaining Architecture for Multi-hop Split Inference and Learning Leveraging eBPF for Programmable Network Functions with IPv6 Segment Routing,

Reference 26

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source=pdf_text observed=2026-08-04T18:22:20.976167Z digest=sha256:2ace553654d047dcdaf64f8ee34ed62ca19265d34a25852fa48ea2ab0bef7cee

Observation f4edb668-fd35-4ef4-8ae2-42bc9c35ce22 · outbound

This paper cites Practicality of In-Kernel/User-Space Packet Processing Empowered by Lightweight Neural Network and Decision Tree,.

Service Function Chaining Architecture for Multi-hop Split Inference and Learning Practicality of In-Kernel/User-Space Packet Processing Empowered by Lightweight Neural Network and Decision Tree,

Reference 27

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source=pdf_text observed=2026-08-04T18:22:20.980274Z digest=sha256:c89e8082c4f2111006d00b793dd9106897fa2cb5eade4a607c79dd1125e30098

Observation 160122b1-9679-412b-8d08-bd67b760543e · outbound

This paper cites Software Resolved Networks: Rethinking Enterprise Networks with IPv6 Segment Routing,.

Service Function Chaining Architecture for Multi-hop Split Inference and Learning Software Resolved Networks: Rethinking Enterprise Networks with IPv6 Segment Routing,

Reference 28

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source=pdf_text observed=2026-08-04T18:22:20.984606Z digest=sha256:994c2fad61cbbc3aced1f315b878fd7ae5b95470c7858f9c3df9ad4438753192

Observation 653e2054-f15d-4a73-af6d-e4812c3a3afd · outbound

This paper cites PyTorch: An Imperative Style, High-Performance Deep Learning Library.

Service Function Chaining Architecture for Multi-hop Split Inference and Learning PyTorch: An Imperative Style, High-Performance Deep Learning Library

Reference 29

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source=pdf_text observed=2026-08-04T18:22:20.988818Z digest=sha256:2fbf2983df25c8f2b6b339ace9bca24a4f245cfeabe43d6e8086e775280b919e

Observation 950a7818-c685-4435-9244-e4ad413850b9 · outbound

This paper cites an unresolved cited work.

Service Function Chaining Architecture for Multi-hop Split Inference and Learning Unresolved cited work

Reference 30

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source=pdf_text observed=2026-08-04T18:22:20.993292Z digest=sha256:c308eccf167582402b8b3e611ac64e843d58a4fefa0bd7feb18a5bbc68372597

Observation f88ed28b-5a82-422b-943d-2fa1731530a1 · outbound

This paper cites Mininet,.

Service Function Chaining Architecture for Multi-hop Split Inference and Learning Mininet,

Reference 31

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source=pdf_text observed=2026-08-04T18:22:20.997130Z digest=sha256:2f6fbdf511515524268329b9695577f5336371b2fde0f9283bb4c4935e8292db

Observation 3883d4c9-dc24-4b2c-8f70-afa884e2e203 · outbound

This paper cites Deep Residual Learning for Image Recognition,.

Service Function Chaining Architecture for Multi-hop Split Inference and Learning Deep Residual Learning for Image Recognition,

Reference 32

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source=pdf_text observed=2026-08-04T18:22:21.001033Z digest=sha256:8e5cb4f94b58ca29e195478d058e46b46bed7129cf2dda9aa50805e5ed3608bf

Observation 96ee60fa-5751-4eeb-a332-6bcf3293558a · outbound

This paper cites Improved Regularization of Convolutional Neural Networks with Cutout.

Service Function Chaining Architecture for Multi-hop Split Inference and Learning Improved Regularization of Convolutional Neural Networks with Cutout

Reference 33

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source=pdf_text observed=2026-08-04T18:22:21.004833Z digest=sha256:bf5d13badce2a27541f605fdf7618868db0eb4f1232c0538c0b27377563491d6

Observation be8d7198-ef00-44f3-90de-c83c31f11a64 · outbound

This paper cites Learning Multiple Layers of Features from Tiny Im- ages,.

Service Function Chaining Architecture for Multi-hop Split Inference and Learning Learning Multiple Layers of Features from Tiny Im- ages,

Reference 34

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source=pdf_text observed=2026-08-04T18:22:21.009106Z digest=sha256:d40345b7013c1b6d66bbcd3b25c8586a0e801eba8640ededb6b2c7d405349209

Pith citing papers

Observation 688b4720-f11d-472d-9fe1-f5efdce898ad · inbound

Optimization of Model Splitting, Placement, and Chaining for Multi-hop Split Learning and Inference cites this paper.

Optimization of Model Splitting, Placement, and Chaining for Multi-hop Split Learning and Inference Service Function Chaining Architecture for Multi-hop Split Inference and Learning

Reference 6

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arxiv_id, observed 2026-05-12T00:26:16.454494Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-07T15:22:24.831306Z digest=sha256:728064ec95462edcaf18e4ba5e694ee973c9e3e4c99897893157d6c5267a6345