Paper Citation Record · LEDGER

Many Hands Make Light Work: Accelerating Edge Inference via Multi-Client Collaborative Caching

As of 15 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 0 inbound Pith citation observations for arXiv:2412.10382.

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

pith.paper-citation-record.v1
2412.10382 v1

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T10:40:41.228254Z

measured 44 of 44 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+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

44 of 44 outbound references displayed

verified exact1
verified fuzzy37
unresolved6
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 254c9f63-05ba-4148-ab01-e0ab7a69996e · outbound

This paper cites Eagleeye: Wearable camera- based person identification in crowded urban spaces,.

Many Hands Make Light Work: Accelerating Edge Inference via Multi-Client Collaborative Caching Eagleeye: Wearable camera- based person identification in crowded urban spaces,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:40:41.864746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 1ae96c0f-5dad-4164-876e-09acb8181773 · outbound

This paper cites Object detection in the context of mobile augmented reality,.

Many Hands Make Light Work: Accelerating Edge Inference via Multi-Client Collaborative Caching Object detection in the context of mobile augmented reality,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:40:41.853820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation dfce2324-5410-4ba4-bb91-0cd432d78a05 · outbound

This paper cites Ac- tion recognition framework in traffic scene for autonomous driving system,.

Many Hands Make Light Work: Accelerating Edge Inference via Multi-Client Collaborative Caching Ac- tion recognition framework in traffic scene for autonomous driving system,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:40:41.842575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ca50629a-ee80-401e-ba92-9857922f4b97 · outbound

This paper cites Omnidet: Surround view cameras based multi-task visual perception network for autonomous driving,.

Many Hands Make Light Work: Accelerating Edge Inference via Multi-Client Collaborative Caching Omnidet: Surround view cameras based multi-task visual perception network for autonomous driving,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:40:41.831037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 37932027-2def-4c3c-910a-31a7143028aa · outbound

This paper cites Bdd100k: A diverse driving dataset for heterogeneous multitask learning,.

Many Hands Make Light Work: Accelerating Edge Inference via Multi-Client Collaborative Caching Bdd100k: A diverse driving dataset for heterogeneous multitask learning,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:40:41.819811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 83baa72b-43e2-49b8-a764-9f549730b239 · outbound

This paper cites The effect of the gdpr on privacy policies: Recent progress and future promise,.

Many Hands Make Light Work: Accelerating Edge Inference via Multi-Client Collaborative Caching The effect of the gdpr on privacy policies: Recent progress and future promise,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-12T10:40:41.087260Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b4a0489a-a87b-4723-9b98-b4edf10471e1 · outbound

This paper cites An overview on edge computing research,.

Many Hands Make Light Work: Accelerating Edge Inference via Multi-Client Collaborative Caching An overview on edge computing research,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:40:41.802762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e7f15b0f-5ed9-4216-8629-1f975d1b061b · outbound

This paper cites Co- edge: Cooperative dnn inference with adaptive workload partitioning over heterogeneous edge devices,.

Many Hands Make Light Work: Accelerating Edge Inference via Multi-Client Collaborative Caching Co- edge: Cooperative dnn inference with adaptive workload partitioning over heterogeneous edge devices,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:40:41.792301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 920ea606-3036-435d-b9b5-59683fe5df0f · outbound

This paper cites Efficient acceleration of deep learning infer- ence on resource-constrained edge devices: A review,.

Many Hands Make Light Work: Accelerating Edge Inference via Multi-Client Collaborative Caching Efficient acceleration of deep learning infer- ence on resource-constrained edge devices: A review,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:40:41.781251Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 881d9b23-1974-413f-8653-bd28534aa8c9 · outbound

This paper cites Vision-based traffic sign detection and recognition systems: Current trends and challenges,.

Many Hands Make Light Work: Accelerating Edge Inference via Multi-Client Collaborative Caching Vision-based traffic sign detection and recognition systems: Current trends and challenges,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:40:41.770615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 155104f1-ba27-4d15-93fd-f151c93860a0 · outbound

This paper cites Deepmon: Mobile gpu-based deep learning framework for continuous vision applications,.

Many Hands Make Light Work: Accelerating Edge Inference via Multi-Client Collaborative Caching Deepmon: Mobile gpu-based deep learning framework for continuous vision applications,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:40:41.758896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c5d08b65-ff9b-45cc-a205-cb95341ff5ea · outbound

This paper cites Deepcache: Principled cache for mobile deep vision,.

Many Hands Make Light Work: Accelerating Edge Inference via Multi-Client Collaborative Caching Deepcache: Principled cache for mobile deep vision,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:40:41.747814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b679cb6a-9e40-4a8f-9109-6d1680d857bf · outbound

This paper cites Boosting mobile cnn inference through semantic memory,.

Many Hands Make Light Work: Accelerating Edge Inference via Multi-Client Collaborative Caching Boosting mobile cnn inference through semantic memory,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:40:41.736959Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation f8df1d46-c13b-471b-9fd6-f6345e71c9e4 · outbound

This paper cites Semisupervised distributed learning with non-iid data for aiot service platform,.

Many Hands Make Light Work: Accelerating Edge Inference via Multi-Client Collaborative Caching Semisupervised distributed learning with non-iid data for aiot service platform,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:40:41.726108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 2db68e76-e86a-47b8-8ff8-8a9443819787 · outbound

This paper cites Videolt: Large-scale long-tailed video recognition,.

Many Hands Make Light Work: Accelerating Edge Inference via Multi-Client Collaborative Caching Videolt: Large-scale long-tailed video recognition,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:40:41.715544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation f95bd739-f478-4c1d-8591-ad32243fc940 · outbound

This paper cites Use your head: Improving long-tail video recognition,.

Many Hands Make Light Work: Accelerating Edge Inference via Multi-Client Collaborative Caching Use your head: Improving long-tail video recognition,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:40:41.704788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b1776ae4-4fa9-4120-bd9d-53a9950e25ff · outbound

This paper cites Sports video classification with deep convolution neural network: a test on ucf101 dataset,.

Many Hands Make Light Work: Accelerating Edge Inference via Multi-Client Collaborative Caching Sports video classification with deep convolution neural network: a test on ucf101 dataset,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:40:41.693347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 9d33adb3-bdd4-495f-a385-94a9a917c23a · outbound

This paper cites Lru is better than fifo,.

Many Hands Make Light Work: Accelerating Edge Inference via Multi-Client Collaborative Caching Lru is better than fifo,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:40:41.682180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a5b4721f-3709-4738-ba6d-5e9bfa57dc25 · outbound

This paper cites Accelerating Deep Learning Inference via Learned Caches.

Many Hands Make Light Work: Accelerating Edge Inference via Multi-Client Collaborative Caching Accelerating Deep Learning Inference via Learned Caches

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-12T10:40:41.135427Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dbe56d14-031f-4466-8e28-34c8fea8fd28 · outbound

This paper cites Foggycache: Cross- device approximate computation reuse,.

Many Hands Make Light Work: Accelerating Edge Inference via Multi-Client Collaborative Caching Foggycache: Cross- device approximate computation reuse,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:40:41.670513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation f10030b4-a1e7-47e0-be9c-26ce20884597 · outbound

This paper cites Fed- erated learning in smart city sensing: Challenges and opportunities,.

Many Hands Make Light Work: Accelerating Edge Inference via Multi-Client Collaborative Caching Fed- erated learning in smart city sensing: Challenges and opportunities,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:40:41.659139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e55888ea-fd91-463b-8c98-889fefc3b44d · outbound

This paper cites Task offloading and resource allocation for mobile edge computing by deep reinforcement learning based on sarsa,.

Many Hands Make Light Work: Accelerating Edge Inference via Multi-Client Collaborative Caching Task offloading and resource allocation for mobile edge computing by deep reinforcement learning based on sarsa,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:40:41.648114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 2df4c1f0-32a2-4021-8e4c-304e30c631fd · outbound

This paper cites Context-aware image compression optimization for visual analytics offloading,.

Many Hands Make Light Work: Accelerating Edge Inference via Multi-Client Collaborative Caching Context-aware image compression optimization for visual analytics offloading,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:40:41.637182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 1eea5270-1aaa-4cd5-9e2a-3ef3fe213ddd · outbound

This paper cites Elf: accelerate high- resolution mobile deep vision with content-aware parallel offloading,.

Many Hands Make Light Work: Accelerating Edge Inference via Multi-Client Collaborative Caching Elf: accelerate high- resolution mobile deep vision with content-aware parallel offloading,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:40:41.625058Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ec2c7f72-fea0-4abe-b333-1f31de193421 · outbound

This paper cites Quantized cnn: A unified approach to accelerate and compress convo- lutional networks,.

Many Hands Make Light Work: Accelerating Edge Inference via Multi-Client Collaborative Caching Quantized cnn: A unified approach to accelerate and compress convo- lutional networks,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:40:41.612452Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 54bc15c3-4a33-4dde-b366-a405ee00daad · outbound

This paper cites Accelerating dnn inference by edge-cloud collaboration,.

Many Hands Make Light Work: Accelerating Edge Inference via Multi-Client Collaborative Caching Accelerating dnn inference by edge-cloud collaboration,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:40:41.600858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 8b172553-b08d-4eb8-a876-8aaa1c44972d · outbound

This paper cites Efficient federated-learning model debugging,.

Many Hands Make Light Work: Accelerating Edge Inference via Multi-Client Collaborative Caching Efficient federated-learning model debugging,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:40:41.588388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c70be7a7-92de-420c-be8c-fc020b50c268 · outbound

This paper cites Federated learning’s blessing: Fedavg has linear speedup,.

Many Hands Make Light Work: Accelerating Edge Inference via Multi-Client Collaborative Caching Federated learning’s blessing: Fedavg has linear speedup,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:40:41.574878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 7c0f08dc-2957-4773-ab22-ff19b3432389 · outbound

This paper cites an unresolved cited work.

Many Hands Make Light Work: Accelerating Edge Inference via Multi-Client Collaborative Caching Unresolved cited work

Reference 29

Resolution: unresolved; raw_fallback, observed 2026-08-12T10:40:41.443248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 53fa6b63-0b90-4dbc-b338-208ddb785eb4 · outbound

This paper cites Imagenet: A large-scale hierarchical image database,.

Many Hands Make Light Work: Accelerating Edge Inference via Multi-Client Collaborative Caching Imagenet: A large-scale hierarchical image database,

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-12T10:40:41.175820Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5bb954ee-0b3f-44b5-8f2b-55adffec58f6 · outbound

This paper cites UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild.

Many Hands Make Light Work: Accelerating Edge Inference via Multi-Client Collaborative Caching UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-12T10:40:41.180289Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 806ab9b1-1ffa-4e60-8df2-ef00da234220 · outbound

This paper cites Esc: Dataset for environmental sound clas- sification,.

Many Hands Make Light Work: Accelerating Edge Inference via Multi-Client Collaborative Caching Esc: Dataset for environmental sound clas- sification,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:40:41.424398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 42686619-8313-4009-9325-943a98cb9016 · outbound

This paper cites Fast: Enhancing federated learning through adaptive data sampling and local training,.

Many Hands Make Light Work: Accelerating Edge Inference via Multi-Client Collaborative Caching Fast: Enhancing federated learning through adaptive data sampling and local training,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:40:41.413237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c0da4e3b-0dc4-4aec-b456-0fb41f7fab5c · outbound

This paper cites Mergesfl: Split federated learning with feature merging and batch size regulation,.

Many Hands Make Light Work: Accelerating Edge Inference via Multi-Client Collaborative Caching Mergesfl: Split federated learning with feature merging and batch size regulation,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:40:41.402259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 65e1dc43-add0-4b21-9690-1248f6238714 · outbound

This paper cites Learning imbalanced datasets with label-distribution- aware margin loss,.

Many Hands Make Light Work: Accelerating Edge Inference via Multi-Client Collaborative Caching Learning imbalanced datasets with label-distribution- aware margin loss,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:40:41.391079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 9ff1bcab-ded2-4c0e-ab06-0b244beb5f49 · outbound

This paper cites Going deeper in spiking neural networks: Vgg and residual architectures,.

Many Hands Make Light Work: Accelerating Edge Inference via Multi-Client Collaborative Caching Going deeper in spiking neural networks: Vgg and residual architectures,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:40:41.380136Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 6531edf2-487b-45a3-bffe-2eafd84ced5e · outbound

This paper cites Deep residual learn- ing for image recognition,.

Many Hands Make Light Work: Accelerating Edge Inference via Multi-Client Collaborative Caching Deep residual learn- ing for image recognition,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:40:41.368275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c2422405-6fe5-4d18-92e4-b114348c1cf1 · outbound

This paper cites Application combining vmd and resnet101 in intelligent diagnosis of motor faults,.

Many Hands Make Light Work: Accelerating Edge Inference via Multi-Client Collaborative Caching Application combining vmd and resnet101 in intelligent diagnosis of motor faults,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:40:41.354963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 13ab2680-5ee2-4c3c-bf6c-b36082d9560d · outbound

This paper cites Thermal facial expression recognition using modified resnet152,.

Many Hands Make Light Work: Accelerating Edge Inference via Multi-Client Collaborative Caching Thermal facial expression recognition using modified resnet152,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:40:41.342545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation eb568b78-f69b-4c19-a24d-7c804cec7378 · outbound

This paper cites AST: Audio Spectrogram Transformer.

Many Hands Make Light Work: Accelerating Edge Inference via Multi-Client Collaborative Caching AST: Audio Spectrogram Transformer

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-12T10:40:41.213860Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 298e904c-e630-4018-a5cf-fda967b302e2 · outbound

This paper cites Benchmark anal- ysis of jetson tx2, jetson nano and raspberry pi using deep-cnn,.

Many Hands Make Light Work: Accelerating Edge Inference via Multi-Client Collaborative Caching Benchmark anal- ysis of jetson tx2, jetson nano and raspberry pi using deep-cnn,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:40:41.330698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e1fd464a-9362-4836-9549-7358b6a59e15 · outbound

This paper cites Load balancing and service discovery using docker swarm for microservice based big data applications,.

Many Hands Make Light Work: Accelerating Edge Inference via Multi-Client Collaborative Caching Load balancing and service discovery using docker swarm for microservice based big data applications,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:40:41.319026Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 97ab8738-ed8d-4b18-b42d-a05f31b35cf3 · outbound

This paper cites A strong reinforcement parallel implementation of k- means algorithm using message passing interface,.

Many Hands Make Light Work: Accelerating Edge Inference via Multi-Client Collaborative Caching A strong reinforcement parallel implementation of k- means algorithm using message passing interface,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:40:41.307136Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 42c6e5fb-629d-4366-a271-757f0de3a03e · outbound

This paper cites DeepCache: Principled Cache for Mobile Deep Vision.

Many Hands Make Light Work: Accelerating Edge Inference via Multi-Client Collaborative Caching DeepCache: Principled Cache for Mobile Deep Vision

Reference 44

Resolution: verified exact; local_arxiv, observed 2026-08-12T10:40:41.265361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Pith citing papers

No inbound Pith citation observations are available.