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Paper Citation Record · LEDGER

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

As of 10 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:bf617d969942f6dd29e3b6664961e61dc0c1df39b61ce5c905435b4552ac0d3b

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:a9afc28557547dc6445eeec1bbd843867fdc6afc69183bc3a390d8182b78ee29

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=sha256:1e76bf3e21d2b3a5ffb29100dc824c19f47994859cb2e5e27f56594c4ff4c6a2

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:c1297ad1173714e6d716902f9731dc78c1d1e7ea9f07cd9f5966d3c283a8ce88

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=sha256:401d62ee429c1399522a130ed724adfe82cc9b00311decf74cf32d87c6f9b367

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=sha256:38a9c8ba50b47d19265020c0ff94decd2d019f4ca3c69af896b9ed553430774d

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=sha256:98cab1ee837e57cc0c4124f17427e10514965e145b4dfbdd75cdc3235b4fd1d3

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=sha256:336e0352dd1d1adcc9ae966d6b3a542781d8a3bbcad9b777692868b049f65170

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:ada94b2a6f4e5bb8c6bebde0873356dcc491e16647757ea09500a952d0ce5120

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:b12f2e547eff149b5c57e5a7d6554579288449a029729d0538793755f18ec6f5

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:f987da26231f0c7285da62ef67ed80dc70a4e2f0fa66371a072660f8b437df72

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:a441e68ee3074b4b2091fd04f6dadf127043b68d1b2e3e5adea96e1c668bfab6

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=sha256:3bc90693f60f179aa7e7f24c1327535bd58f9123d378fd18667a1d3745ba4725

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=sha256:12c5912d194b349229a28f1a65a2a928bfe072a4a15c3ee20866f12353b1bd7e

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=sha256:401eb6a03de2a55c99611f5918450e02a3af22dfcbb3e250d720470e0ee42f80

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=sha256:32a3c2fccd6b42aae36f89620db65d8dc68950fefb6c366917d51445516502d0

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=sha256:58df6ba8bb62200243677468396930fd2e9566eb19b2bfa7d7322cfa99023675

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=sha256:48554b9a22a850f125db186efe7951545047d49059c94a71ea7ff1730a18d185

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:c83820572b2e6c8746205d1c829c0768059c1c129fbb91bee4e032b0a718f49d

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=sha256:672f17d178fd5303b6b8a7c1fc8b540041a942b096a10c2357d7ab91024dfd1b

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=sha256:2e6af17f80b4176693796d8ccc355fa6bfc4836f5af2d153f925625106f5dd11

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:bbb60ef571983b68f59d3dcf00867519ae07a9fc24618c613e0d6ac72b5db096

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:a0fd3a2e26717c97e40bf60e30055e8a90a809b4f5e839313e846146405b7ec2

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=sha256:4e7841846c1cd236facece5288000fd4569316405327fa3a83ef7cb0209eda5e

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=sha256:785c6a3c0fa9529708bfabb80fc6c7a14f16614174004ba1152db1c82d84c205

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=sha256:1db72ef5b522372647ffa8b185c29c1682cc50662f0cabad276d05511b18ba18

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:dd35c48ae63a10790e10ea1d16f66c87881fd142fa97157baae9567c379df59c

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=sha256:0faa2d7c0e3abce6e98e8c67c02765cbf945a937d718579703600d635462405e

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=sha256:6c1620437ec23159d492b2dd8b980169761fa37c17d78106e51b3706d2280052

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=sha256:6901c71376a02d9032971274ad486f71660379c9f2bcdee35c4ee7468ca5212f

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=sha256:273e400a66f53fd48fc6d1c90465a3baa01b4ff4e359ed50fc8e02f8ee37496e

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=sha256:38c9c9e4b2002c61e6c972c292c1061c51716db8df785234dc4f8f5093d656fb

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=sha256:7fe8bfc630d5033a831e3fb4bf01af8287a1bbc2cb4b30e0cdb104f99c5da40f

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:d8e929b5a1b4b2b2b24a7c760c52a187382542b934df39c1f8386f9e0305e8eb