Paper Citation Record · LEDGER

Distributed Inference on Mobile Edge and Cloud: A Data-Cartography based Clustering Approach

As of 15 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:2412.16616.

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

pith.paper-citation-record.v1
2412.16616 v1

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T10:29:09.117848Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+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

32 of 32 outbound references displayed

verified exact1
verified fuzzy13
unresolved18
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 023501e6-f630-45ae-89e1-e1e488a9b708 · outbound

This paper cites A survey on vision transformer,.

Distributed Inference on Mobile Edge and Cloud: A Data-Cartography based Clustering Approach A survey on vision transformer,

Reference 1

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Source-reported events for the cited work

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Observation fc4024fe-85c0-4d06-aa7d-d8fcb0536ac5 · outbound

This paper cites GLUE: A multi-task benchmark and analysis platform for natural language understanding,.

Distributed Inference on Mobile Edge and Cloud: A Data-Cartography based Clustering Approach GLUE: A multi-task benchmark and analysis platform for natural language understanding,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-11T10:29:08.908653Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 01643711-e768-473a-b040-49dcb3c8a461 · outbound

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

Distributed Inference on Mobile Edge and Cloud: A Data-Cartography based Clustering Approach To prune, or not to prune: exploring the efficacy of pruning for model compression

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-11T10:29:08.919904Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e7cb0e3a-947c-4299-888e-5df1f204e4a1 · outbound

This paper cites Are sixteen heads really better than one?.

Distributed Inference on Mobile Edge and Cloud: A Data-Cartography based Clustering Approach Are sixteen heads really better than one?

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:29:09.687490Z

Source-reported events for the cited work

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Observation 80f03415-7a8c-4075-a582-6c108c4721a7 · outbound

This paper cites TernaryBERT: Distillation-aware Ultra-low Bit BERT.

Distributed Inference on Mobile Edge and Cloud: A Data-Cartography based Clustering Approach TernaryBERT: Distillation-aware Ultra-low Bit BERT

Reference 5

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Observation 8296e10f-e731-44ab-a316-b0582b48445f · outbound

This paper cites I-bert: Integer-only bert quantization,.

Distributed Inference on Mobile Edge and Cloud: A Data-Cartography based Clustering Approach I-bert: Integer-only bert quantization,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-11T10:29:08.950045Z

Source-reported events for the cited work

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Observation 950293b6-5508-4400-b873-f97f36dfb822 · outbound

This paper cites DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter.

Distributed Inference on Mobile Edge and Cloud: A Data-Cartography based Clustering Approach DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-11T10:29:08.957197Z

Source-reported events for the cited work

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Observation f6bd1e47-bd8b-4985-85cb-32c6364bf4bd · outbound

This paper cites TinyBERT: Distilling BERT for Natural Language Understanding.

Distributed Inference on Mobile Edge and Cloud: A Data-Cartography based Clustering Approach TinyBERT: Distilling BERT for Natural Language Understanding

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-11T10:29:08.964296Z

Source-reported events for the cited work

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Observation c6f456a5-625d-406b-8f21-70beeeca7143 · outbound

This paper cites DeeBERT: Dynamic Early Exiting for Accelerating BERT Inference.

Distributed Inference on Mobile Edge and Cloud: A Data-Cartography based Clustering Approach DeeBERT: Dynamic Early Exiting for Accelerating BERT Inference

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-11T10:29:08.971358Z

Source-reported events for the cited work

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Observation ca5db67d-90ea-43b5-b4c3-fd26e8e8be2e · outbound

This paper cites Bert loses patience: Fast and robust inference with early exit,.

Distributed Inference on Mobile Edge and Cloud: A Data-Cartography based Clustering Approach Bert loses patience: Fast and robust inference with early exit,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-11T10:29:08.982988Z

Source-reported events for the cited work

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Observation 45894b20-9ee9-4746-a2f8-86ac20504ce7 · outbound

This paper cites Ceebert: Cross-domain inference in early exit bert,.

Distributed Inference on Mobile Edge and Cloud: A Data-Cartography based Clustering Approach Ceebert: Cross-domain inference in early exit bert,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:29:09.646440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 21547e46-4541-4835-9261-125ac290de75 · outbound

This paper cites Split computing and early exiting for deep learning applications: Survey and research challenges,.

Distributed Inference on Mobile Edge and Cloud: A Data-Cartography based Clustering Approach Split computing and early exiting for deep learning applications: Survey and research challenges,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-11T10:29:08.999625Z

Source-reported events for the cited work

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Observation 53b550c1-9bce-455b-9c4c-ef4dd0a436f5 · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

Distributed Inference on Mobile Edge and Cloud: A Data-Cartography based Clustering Approach BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-11T10:29:09.006295Z

Source-reported events for the cited work

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Observation 9e87f4e2-5ab7-4857-a470-74388d1ad76b · outbound

This paper cites Revolutionizing Mobile Interaction: Enabling a 3 Billion Parameter GPT LLM on Mobile.

Distributed Inference on Mobile Edge and Cloud: A Data-Cartography based Clustering Approach Revolutionizing Mobile Interaction: Enabling a 3 Billion Parameter GPT LLM on Mobile

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-08-11T10:29:09.249472Z

Source-reported events for the cited work

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Observation 738fe594-7732-4fd5-9769-a32ca76376cb · outbound

This paper cites Dataset Cartography: Mapping and Diagnosing Datasets with Training Dynamics.

Distributed Inference on Mobile Edge and Cloud: A Data-Cartography based Clustering Approach Dataset Cartography: Mapping and Diagnosing Datasets with Training Dynamics

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-11T10:29:09.020196Z

Source-reported events for the cited work

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Observation f4fdbb22-7ad0-445f-9cad-b7d744caeba1 · outbound

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

Distributed Inference on Mobile Edge and Cloud: A Data-Cartography based Clustering Approach Neurosurgeon: Collaborative intelligence between the cloud and mobile edge,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:29:09.617689Z

Source-reported events for the cited work

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Observation 4415847c-bd2d-4b0f-b6ad-832260c7c411 · outbound

This paper cites Bottlenet: A deep learning architecture for intelligent mobile cloud computing services,.

Distributed Inference on Mobile Edge and Cloud: A Data-Cartography based Clustering Approach Bottlenet: A deep learning architecture for intelligent mobile cloud computing services,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:29:09.599670Z

Source-reported events for the cited work

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Observation ef20097d-bf61-4923-94c8-600652e4503c · outbound

This paper cites Bottlefit: Learning compressed representations in deep neural networks for effective and efficient split computing,.

Distributed Inference on Mobile Edge and Cloud: A Data-Cartography based Clustering Approach Bottlefit: Learning compressed representations in deep neural networks for effective and efficient split computing,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-11T10:29:09.038722Z

Source-reported events for the cited work

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Observation d7e4de31-b8fc-492a-a089-6bca58784237 · outbound

This paper cites Bottlenet++: An end-to-end approach for feature compression in device-edge co-inference systems,.

Distributed Inference on Mobile Edge and Cloud: A Data-Cartography based Clustering Approach Bottlenet++: An end-to-end approach for feature compression in device-edge co-inference systems,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:29:09.569612Z

Source-reported events for the cited work

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Observation bc411354-3a46-4a6f-88e5-1dcceb8c72da · outbound

This paper cites Fast and accurate streaming cnn infer- ence via communication compression on the edge,.

Distributed Inference on Mobile Edge and Cloud: A Data-Cartography based Clustering Approach Fast and accurate streaming cnn infer- ence via communication compression on the edge,

Reference 20

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Source-reported events for the cited work

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Observation e601488d-c267-4fac-896c-5c820ebc5225 · outbound

This paper cites Dis- tilled split deep neural networks for edge-assisted real-time systems,.

Distributed Inference on Mobile Edge and Cloud: A Data-Cartography based Clustering Approach Dis- tilled split deep neural networks for edge-assisted real-time systems,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:29:09.541451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 5b77e4a8-adea-4789-b5be-9ec918826d26 · outbound

This paper cites Cut, distil and encode (cde): Split cloud-edge deep inference,.

Distributed Inference on Mobile Edge and Cloud: A Data-Cartography based Clustering Approach Cut, distil and encode (cde): Split cloud-edge deep inference,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:29:09.524051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 5a6fed23-fac4-459a-83b2-147fa59b3fbc · outbound

This paper cites Deep compressive offloading: Speeding up neural network inference by trading edge computation for network latency,.

Distributed Inference on Mobile Edge and Cloud: A Data-Cartography based Clustering Approach Deep compressive offloading: Speeding up neural network inference by trading edge computation for network latency,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-11T10:29:09.068102Z

Source-reported events for the cited work

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Observation 7693afaa-b2fd-4888-a93c-afcfae0a1e15 · outbound

This paper cites Neural compression and filtering for edge-assisted real-time object detection in challenged networks,.

Distributed Inference on Mobile Edge and Cloud: A Data-Cartography based Clustering Approach Neural compression and filtering for edge-assisted real-time object detection in challenged networks,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:29:09.493985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 198bb66c-1c30-47f5-a815-dd8f131decc6 · outbound

This paper cites Early-exit deep neural networks for distorted images: providing an efficient edge offloading,.

Distributed Inference on Mobile Edge and Cloud: A Data-Cartography based Clustering Approach Early-exit deep neural networks for distorted images: providing an efficient edge offloading,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:29:09.472848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 110ad941-efb3-457b-bd60-0fac693cce44 · outbound

This paper cites Learning early exit for deep neural network inference on mobile devices through multi-armed bandits,.

Distributed Inference on Mobile Edge and Cloud: A Data-Cartography based Clustering Approach Learning early exit for deep neural network inference on mobile devices through multi-armed bandits,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:29:09.455221Z

Source-reported events for the cited work

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Observation 32d59d6c-17fd-4855-b863-b84da778331d · outbound

This paper cites Dynamic early exit scheduling for deep neural network inference through contextual bandits,.

Distributed Inference on Mobile Edge and Cloud: A Data-Cartography based Clustering Approach Dynamic early exit scheduling for deep neural network inference through contextual bandits,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:29:09.437985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e2d2638e-a540-4a15-9912-f99f786eb4e0 · outbound

This paper cites Unsupervised early exit in dnns with multiple exits,.

Distributed Inference on Mobile Edge and Cloud: A Data-Cartography based Clustering Approach Unsupervised early exit in dnns with multiple exits,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:29:09.419477Z

Source-reported events for the cited work

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Observation dcfddf5a-acee-411c-b58a-9fecefabb59b · outbound

This paper cites SplitEE: Early Exit in Deep Neural Networks with Split Computing.

Distributed Inference on Mobile Edge and Cloud: A Data-Cartography based Clustering Approach SplitEE: Early Exit in Deep Neural Networks with Split Computing

Reference 29

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Source-reported events for the cited work

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Observation 0573ac85-e1a2-45fd-936a-fcfd6058a9c6 · outbound

This paper cites I-SplitEE: Image classification in Split Computing DNNs with Early Exits.

Distributed Inference on Mobile Edge and Cloud: A Data-Cartography based Clustering Approach I-SplitEE: Image classification in Split Computing DNNs with Early Exits

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-11T10:29:09.106052Z

Source-reported events for the cited work

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Observation 09816090-74bd-43df-b155-586b477c320e · outbound

This paper cites Finite-time analysis of the multiarmed bandit problem,.

Distributed Inference on Mobile Edge and Cloud: A Data-Cartography based Clustering Approach Finite-time analysis of the multiarmed bandit problem,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:29:09.399650Z

Source-reported events for the cited work

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Observation 1311ac4d-8b27-4652-abf1-533513333944 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Distributed Inference on Mobile Edge and Cloud: A Data-Cartography based Clustering Approach Adam: A Method for Stochastic Optimization

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-11T10:29:09.117848Z

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Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.