Paper Citation Record · LEDGER

ECC-SNN: Cost-Effective Edge-Cloud Collaboration for Spiking Neural Networks

As of 15 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 2 inbound Pith citation observations for arXiv:2505.20835.

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

pith.paper-citation-record.v1
2505.20835 v1

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:50:09.867837Z

measured 40 of 40 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:13:25.897340Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T10:46:17.273338Z

Reference resolution

38 of 38 outbound references displayed

verified exact1
verified fuzzy34
unresolved3
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 739cf833-eae1-4ced-9a8d-8a02cdab2840 · outbound

This paper cites Adaptive neural networks for efficient inference.

ECC-SNN: Cost-Effective Edge-Cloud Collaboration for Spiking Neural Networks Adaptive neural networks for efficient inference

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:50:16.394795Z

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Observation eca2288c-8b8e-4776-bf57-8ea810fb9286 · outbound

This paper cites Oebench: Investigating open environment challenges in real-world relational data streams.

ECC-SNN: Cost-Effective Edge-Cloud Collaboration for Spiking Neural Networks Oebench: Investigating open environment challenges in real-world relational data streams

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:50:15.744808Z

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Observation 57c5e157-53de-493a-9961-a1a51773f5c2 · outbound

This paper cites An integrated cloud-edge-device adaptive deep learning service for cross-platform web.IEEE Transactions on Mo- bile Computing, 22(4):1950–1967,.

ECC-SNN: Cost-Effective Edge-Cloud Collaboration for Spiking Neural Networks An integrated cloud-edge-device adaptive deep learning service for cross-platform web.IEEE Transactions on Mo- bile Computing, 22(4):1950–1967,

Reference 7

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Observation a8f35bc1-22cb-4164-a003-8b04eac20709 · outbound

This paper cites Training on the edge: The why and the how.

ECC-SNN: Cost-Effective Edge-Cloud Collaboration for Spiking Neural Networks Training on the edge: The why and the how

Reference 9

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Observation 9827328b-f56b-46f4-90c5-3055411b151e · outbound

This paper cites Carm: Hierarchical episodic memory for continual learning.

ECC-SNN: Cost-Effective Edge-Cloud Collaboration for Spiking Neural Networks Carm: Hierarchical episodic memory for continual learning

Reference 11

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Observation d0a0fe94-9fa0-404b-815d-d851bafaf01d · outbound

This paper cites Appealnet: An efficient and highly-accurate edge/cloud collaborative architecture for dnn inference.

ECC-SNN: Cost-Effective Edge-Cloud Collaboration for Spiking Neural Networks Appealnet: An efficient and highly-accurate edge/cloud collaborative architecture for dnn inference

Reference 13

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Observation d717c7a3-43c7-4c5e-8e8a-cc06f85ab7a1 · outbound

This paper cites Distributed dnn infer- ence with fine-grained model partitioning in mobile edge computing networks.

ECC-SNN: Cost-Effective Edge-Cloud Collaboration for Spiking Neural Networks Distributed dnn infer- ence with fine-grained model partitioning in mobile edge computing networks

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:50:14.208369Z

Source-reported events for the cited work

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Observation 0c055cd1-72c4-43a3-8d6f-f800699e48bf · outbound

This paper cites Complexity-aware adaptive training and inference for edge-cloud distributed ai systems.

ECC-SNN: Cost-Effective Edge-Cloud Collaboration for Spiking Neural Networks Complexity-aware adaptive training and inference for edge-cloud distributed ai systems

Reference 15

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Observation 4fc86a4c-db7d-4d28-9dc6-b7f9e29fe1a1 · outbound

This paper cites Ef- ficient and effective time-series forecasting with spiking neural networks.

ECC-SNN: Cost-Effective Edge-Cloud Collaboration for Spiking Neural Networks Ef- ficient and effective time-series forecasting with spiking neural networks

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:50:13.777436Z

Source-reported events for the cited work

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Observation 92e083e3-930e-4ba1-8afc-919becd623d8 · outbound

This paper cites Cost- effective on-device continual learning over memory hierar- chy with miro.

ECC-SNN: Cost-Effective Edge-Cloud Collaboration for Spiking Neural Networks Cost- effective on-device continual learning over memory hierar- chy with miro

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:50:13.581164Z

Source-reported events for the cited work

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Observation dec23c3a-ba73-4d9c-b7e6-aebb7a97c0fe · outbound

This paper cites Darwin3: a large-scale neu- romorphic chip with a novel isa and on-chip learning.

ECC-SNN: Cost-Effective Edge-Cloud Collaboration for Spiking Neural Networks Darwin3: a large-scale neu- romorphic chip with a novel isa and on-chip learning

Reference 18

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Source-reported events for the cited work

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Observation 826a4ef9-3374-4d2e-a9d4-36dd670e1e52 · outbound

This paper cites Networks of spiking neu- rons: the third generation of neural network models.

ECC-SNN: Cost-Effective Edge-Cloud Collaboration for Spiking Neural Networks Networks of spiking neu- rons: the third generation of neural network models

Reference 19

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Source-reported events for the cited work

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Observation d03d704f-e997-4f42-a41e-d95053c7f767 · outbound

This paper cites Structured sparse back- propagation for lightweight on-device continual learning on microcontroller units.

ECC-SNN: Cost-Effective Edge-Cloud Collaboration for Spiking Neural Networks Structured sparse back- propagation for lightweight on-device continual learning on microcontroller units

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:50:13.258178Z

Source-reported events for the cited work

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Observation 644c49f8-53e9-4a7c-926e-2f792a7acb09 · outbound

This paper cites Supervised algorith- mic fairness in distribution shifts: A survey.

ECC-SNN: Cost-Effective Edge-Cloud Collaboration for Spiking Neural Networks Supervised algorith- mic fairness in distribution shifts: A survey

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:50:13.070009Z

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 d72e64a7-aa81-4e49-96bd-ca58d364d5d8 · outbound

This paper cites Spikingresformer: Bridging resnet and vision trans- former in spiking neural networks.

ECC-SNN: Cost-Effective Edge-Cloud Collaboration for Spiking Neural Networks Spikingresformer: Bridging resnet and vision trans- former in spiking neural networks

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:50:12.903749Z

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 9fc5d7dd-7986-4681-9724-0f0f62954f0d · outbound

This paper cites Chal- lenges in benchmarking stream learning algorithms with real-world data.

ECC-SNN: Cost-Effective Edge-Cloud Collaboration for Spiking Neural Networks Chal- lenges in benchmarking stream learning algorithms with real-world data

Reference 24

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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 9bad3ab5-41df-4c10-bce8-74bf2f03536f · outbound

This paper cites Towards robust graph incremental learning on evolving graphs.

ECC-SNN: Cost-Effective Edge-Cloud Collaboration for Spiking Neural Networks Towards robust graph incremental learning on evolving graphs

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:50:12.565408Z

Source-reported events for the cited work

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Observation 909a73f2-ae02-4d03-b231-4d00c81091f4 · outbound

This paper cites Transtab: Learning transferable tabular transformers across tables.

ECC-SNN: Cost-Effective Edge-Cloud Collaboration for Spiking Neural Networks Transtab: Learning transferable tabular transformers across tables

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:50:12.370880Z

Source-reported events for the cited work

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Observation c36882c4-dd4a-4c37-861a-f14cc1cc8c80 · outbound

This paper cites A new ann-snn conversion method with high accuracy, low latency and good robust- ness.

ECC-SNN: Cost-Effective Edge-Cloud Collaboration for Spiking Neural Networks A new ann-snn conversion method with high accuracy, low latency and good robust- ness

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:50:12.190169Z

Source-reported events for the cited work

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Observation 52687f32-8067-44f5-b5aa-de5b6ff4a967 · outbound

This paper cites End-edge-cloud col- laborative computing for deep learning: A comprehensive survey.

ECC-SNN: Cost-Effective Edge-Cloud Collaboration for Spiking Neural Networks End-edge-cloud col- laborative computing for deep learning: A comprehensive survey

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:50:11.967197Z

Source-reported events for the cited work

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Observation f46f6316-fc3f-4d90-b7af-c5502a335216 · outbound

This paper cites Direct training for spiking neural networks: Faster, larger, better.

ECC-SNN: Cost-Effective Edge-Cloud Collaboration for Spiking Neural Networks Direct training for spiking neural networks: Faster, larger, better

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:50:11.788053Z

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 5ecc5e0f-b24d-4bae-875d-02cf4d6c9413 · outbound

This paper cites Hebbian learning based orthogonal projection for continual learning of spik- ing neural networks.

ECC-SNN: Cost-Effective Edge-Cloud Collaboration for Spiking Neural Networks Hebbian learning based orthogonal projection for continual learning of spik- ing neural networks

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:50:11.607933Z

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 1435baae-71c3-47ad-95ce-f4af5e210e06 · outbound

This paper cites Constructing deep spik- ing neural networks from artificial neural networks with knowledge distillation.

ECC-SNN: Cost-Effective Edge-Cloud Collaboration for Spiking Neural Networks Constructing deep spik- ing neural networks from artificial neural networks with knowledge distillation

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:50:11.413031Z

Source-reported events for the cited work

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Observation 20869c61-5934-46bc-be49-6fc968c942f0 · outbound

This paper cites GKT: A Novel Guidance-Based Knowledge Transfer Framework For Efficient Cloud-edge Collaboration LLM Deployment.

ECC-SNN: Cost-Effective Edge-Cloud Collaboration for Spiking Neural Networks GKT: A Novel Guidance-Based Knowledge Transfer Framework For Efficient Cloud-edge Collaboration LLM Deployment

Reference 32

Resolution: verified exact; local_arxiv, observed 2026-08-07T13:50:10.122323Z

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Observation 821d6a08-d4b4-40f7-96fe-a3df2d5bef69 · outbound

This paper cites Ec-snn: Splitting deep spik- ing neural networks for edge devices.

ECC-SNN: Cost-Effective Edge-Cloud Collaboration for Spiking Neural Networks Ec-snn: Splitting deep spik- ing neural networks for edge devices

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:50:11.222376Z

Source-reported events for the cited work

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Observation daa3cf98-a63b-4b49-98fb-109e620d2884 · outbound

This paper cites Trainable spiking-yolo for low-latency and high-performance object detection.

ECC-SNN: Cost-Effective Edge-Cloud Collaboration for Spiking Neural Networks Trainable spiking-yolo for low-latency and high-performance object detection

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:50:10.944872Z

Source-reported events for the cited work

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Observation 79acb245-7462-48d4-a209-58e0611272f6 · outbound

This paper cites Dvfo: Learning-based dvfs for energy-efficient edge-cloud collaborative inference.

ECC-SNN: Cost-Effective Edge-Cloud Collaboration for Spiking Neural Networks Dvfo: Learning-based dvfs for energy-efficient edge-cloud collaborative inference

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:50:10.693771Z

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 2a720d3d-c98c-449d-a4eb-bceebf0e7f95 · outbound

This paper cites A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental Learning.

ECC-SNN: Cost-Effective Edge-Cloud Collaboration for Spiking Neural Networks A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental Learning

Reference 36

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Observation 885969d9-1c9f-4a53-b36f-9c433f24be77 · outbound

This paper cites Ecseg: Edge-cloud switched image segmentation for au- tonomous vehicles.

ECC-SNN: Cost-Effective Edge-Cloud Collaboration for Spiking Neural Networks Ecseg: Edge-cloud switched image segmentation for au- tonomous vehicles

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:50:10.448143Z

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 ebf87fa4-e7f1-4eeb-97e3-51eed5cea77e · outbound

This paper cites Gilpin, and Jason Eshraghian.

ECC-SNN: Cost-Effective Edge-Cloud Collaboration for Spiking Neural Networks Gilpin, and Jason Eshraghian

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:50:10.259400Z

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 2abe76f8-ed0b-4097-b12e-feaf6c876520 · outbound

This paper cites Class-incremental learning: sur- vey and performance evaluation on image classification.

ECC-SNN: Cost-Effective Edge-Cloud Collaboration for Spiking Neural Networks Class-incremental learning: sur- vey and performance evaluation on image classification

Reference 1997

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:50:13.380174Z

Source-reported events for the cited work

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Observation c67f6ec2-ae0f-452c-baef-6989adc8c6e2 · outbound

This paper cites Backpropagation-based learning techniques for deep spik- ing neural networks: A survey.IEEE Transactions on Neu- ral Networks and Learning Systems,.

ECC-SNN: Cost-Effective Edge-Cloud Collaboration for Spiking Neural Networks Backpropagation-based learning techniques for deep spik- ing neural networks: A survey.IEEE Transactions on Neu- ral Networks and Learning Systems,

Reference 2017

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:50:16.282234Z

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Observation ff6465b4-c8f0-4a74-8a71-cf3e98d8a1d7 · outbound

This paper cites Exploring system performance of continual learning for mobile and embedded sensing applications.

ECC-SNN: Cost-Effective Edge-Cloud Collaboration for Spiking Neural Networks Exploring system performance of continual learning for mobile and embedded sensing applications

Reference 2019

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:50:14.950118Z

Source-reported events for the cited work

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Observation bfb7613a-2963-4107-babf-73de07f6bd23 · outbound

This paper cites Surrogate module learning: Reduce the gradi- ent error accumulation in training spiking neural networks.

ECC-SNN: Cost-Effective Edge-Cloud Collaboration for Spiking Neural Networks Surrogate module learning: Reduce the gradi- ent error accumulation in training spiking neural networks

Reference 2020

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:50:15.874848Z

Source-reported events for the cited work

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Observation a0a7f992-b875-4671-996d-27af7378756a · outbound

This paper cites A unified optimiza- tion framework of ann-snn conversion: towards optimal mapping from activation values to firing rates.

ECC-SNN: Cost-Effective Edge-Cloud Collaboration for Spiking Neural Networks A unified optimiza- tion framework of ann-snn conversion: towards optimal mapping from activation values to firing rates

Reference 2021

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:50:15.274546Z

Source-reported events for the cited work

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Observation a5deec3d-e9f0-4175-a048-d74ae7b24d8f · outbound

This paper cites Learning without forgetting.

ECC-SNN: Cost-Effective Edge-Cloud Collaboration for Spiking Neural Networks Learning without forgetting

Reference 2022

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:50:14.646090Z

Source-reported events for the cited work

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Observation a0813b58-7164-4531-9c8b-c8a3574573cf · outbound

This paper cites Rethinking the performance comparison between snns and anns.

ECC-SNN: Cost-Effective Edge-Cloud Collaboration for Spiking Neural Networks Rethinking the performance comparison between snns and anns

Reference 2023

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:50:16.087908Z

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 2a6da0d4-36fe-48d2-9785-70bbf4b9cd8e · outbound

This paper cites A lightweight collaborative deep neural network for the mobile web in edge cloud.

ECC-SNN: Cost-Effective Edge-Cloud Collaboration for Spiking Neural Networks A lightweight collaborative deep neural network for the mobile web in edge cloud

Reference 2024

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:50:15.580218Z

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.

Pith citing papers

Observation beca8b4a-8795-441b-a41c-2988cbef70f4 · inbound

Edge Intelligence with Spiking Neural Networks cites this paper.

Edge Intelligence with Spiking Neural Networks ECC-SNN: Cost-Effective Edge-Cloud Collaboration for Spiking Neural Networks

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T16:13:25.897340Z

Source-reported events for the cited work

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Observation 6af268a3-af9d-4953-9a61-cb1de7c93344 · inbound

SAFA-SNN: Sparsity-Aware On-Device Few-Shot Class-Incremental Learning with Fast-Adaptive Structure of Spiking Neural Network cites this paper.

SAFA-SNN: Sparsity-Aware On-Device Few-Shot Class-Incremental Learning with Fast-Adaptive Structure of Spiking Neural Network ECC-SNN: Cost-Effective Edge-Cloud Collaboration for Spiking Neural Networks

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-18T10:46:17.277419Z

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.