Paper Citation Record · LEDGER

Split Knowledge Distillation for Large Models in IoT: Architecture, Challenges, and Solutions

As of 13 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2501.17164.

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

pith.paper-citation-record.v1
2501.17164 v1

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T14:05:49.208874Z

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+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 exact1
verified fuzzy9
unresolved4
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation cdff9141-3718-4054-8b71-26f86792f03c · outbound

This paper cites LLMind: Orchestrating AI and IoT with LLM for complex task execution,.

Split Knowledge Distillation for Large Models in IoT: Architecture, Challenges, and Solutions LLMind: Orchestrating AI and IoT with LLM for complex task execution,

Reference 1

Resolution: verified exact; doi, observed 2026-08-11T14:05:49.236540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 62a8a615-1869-49fa-b73e-8342acc51bb8 · outbound

This paper cites Efficient prompting for LLM-based generative Internet of Things,.

Split Knowledge Distillation for Large Models in IoT: Architecture, Challenges, and Solutions Efficient prompting for LLM-based generative Internet of Things,

Reference 2

Resolution: metadata mismatch; raw_fallback, observed 2026-08-11T14:05:49.364464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 0166e4a0-6e6b-46d3-be2a-f8a36d47a6d1 · outbound

This paper cites Understanding performance implications of LLM inference on CPUs,.

Split Knowledge Distillation for Large Models in IoT: Architecture, Challenges, and Solutions Understanding performance implications of LLM inference on CPUs,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:05:49.439122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation efcda705-7f29-48a0-bb92-932d94fc3668 · outbound

This paper cites Survey on knowledge distillation for large language models: Methods, 7 evaluation, and application,.

Split Knowledge Distillation for Large Models in IoT: Architecture, Challenges, and Solutions Survey on knowledge distillation for large language models: Methods, 7 evaluation, and application,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-11T14:05:49.182186Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 960c1a65-887d-41a9-a1f0-dddc5e5227d7 · outbound

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

Split Knowledge Distillation for Large Models in IoT: Architecture, Challenges, and Solutions Split learning over wireless networks: Parallel design and resource management,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-11T14:05:49.184804Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0024d9a7-1f02-4a44-8697-cd67e1fea754 · outbound

This paper cites Advancing Transformer Architecture in Long-Context Large Language Models: A Comprehensive Survey.

Split Knowledge Distillation for Large Models in IoT: Architecture, Challenges, and Solutions Advancing Transformer Architecture in Long-Context Large Language Models: A Comprehensive Survey

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-11T14:05:49.187406Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1425f724-666a-4d51-a11a-701c7479b77e · outbound

This paper cites TouchPose: Hand pose prediction, depth estimation, and touch classification from capacitive images,.

Split Knowledge Distillation for Large Models in IoT: Architecture, Challenges, and Solutions TouchPose: Hand pose prediction, depth estimation, and touch classification from capacitive images,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:05:49.427527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation e8ef8840-9530-4ea7-b8e1-ee9f1cda09ae · outbound

This paper cites A survey on model compression and acceleration for pretrained language models,.

Split Knowledge Distillation for Large Models in IoT: Architecture, Challenges, and Solutions A survey on model compression and acceleration for pretrained language models,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:05:49.420879Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 765b1f01-d84e-40c2-bb89-4257b397a448 · outbound

This paper cites Parameter-efficient and student-friendly knowledge distillation,.

Split Knowledge Distillation for Large Models in IoT: Architecture, Challenges, and Solutions Parameter-efficient and student-friendly knowledge distillation,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:05:49.414265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation bd4be3fd-1af2-4347-ad56-b2103cd65220 · outbound

This paper cites Neurosurgeon: Collaborative intelligence between the cloud and mobile edge,.

Split Knowledge Distillation for Large Models in IoT: Architecture, Challenges, and Solutions Neurosurgeon: Collaborative intelligence between the cloud and mobile edge,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-11T14:05:49.197604Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bc1ca039-1299-47c7-9473-e7df10255fe5 · outbound

This paper cites An efficient and private ECG classification system using split and semi- supervised learning,.

Split Knowledge Distillation for Large Models in IoT: Architecture, Challenges, and Solutions An efficient and private ECG classification system using split and semi- supervised learning,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:05:49.403496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 5b319260-a537-49ba-9f18-8824e283f0da · outbound

This paper cites Traffic sign classification for autonomous vehicles using split and federated learning underlying 5G,.

Split Knowledge Distillation for Large Models in IoT: Architecture, Challenges, and Solutions Traffic sign classification for autonomous vehicles using split and federated learning underlying 5G,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:05:49.396029Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation df4d07d3-0b99-4993-b273-fde656e1344b · outbound

This paper cites Split learning of multi-modal medical image classification,.

Split Knowledge Distillation for Large Models in IoT: Architecture, Challenges, and Solutions Split learning of multi-modal medical image classification,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:05:49.389023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation f1495b77-961c-47b6-8f34-459b8bd76a7a · outbound

This paper cites NR; Physical layer procedures for data,.

Split Knowledge Distillation for Large Models in IoT: Architecture, Challenges, and Solutions NR; Physical layer procedures for data,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:05:49.381953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation dfd2c5b7-598c-4753-8c58-2dcdb3877925 · outbound

This paper cites Accuracy-guaranteed collaborative DNN inference in industrial IoT via deep reinforcement learning,.

Split Knowledge Distillation for Large Models in IoT: Architecture, Challenges, and Solutions Accuracy-guaranteed collaborative DNN inference in industrial IoT via deep reinforcement learning,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:05:49.373370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Pith citing papers

No inbound Pith citation observations are available.