Paper Citation Record · LEDGER

Mega: A 22 nm Convolutional Spiking Neural Network Accelerator Achieving 0.375 pJ/SOP for Efficient Edge Vision

As of 7 August 2026, this Paper Citation Record lists 10 of 10 outbound references and 1 inbound Pith citation observation for arXiv:2606.30039.

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

pith.paper-citation-record.v1
2606.30039 v1

Coverage vector

measured 10 of 10 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-30T04:21:48.603276Z

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-11T23:52:01.109112Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

10 of 10 outbound references displayed

verified exact0
verified fuzzy0
unresolved10
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5f6dbea5-9327-4c87-8ee1-0877f0db9146 · outbound

This paper cites A 128×128 120 db 15µs latency asynchronous temporal contrast vision sensor,.

Mega: A 22 nm Convolutional Spiking Neural Network Accelerator Achieving 0.375 pJ/SOP for Efficient Edge Vision A 128×128 120 db 15µs latency asynchronous temporal contrast vision sensor,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-06-30T04:21:48.603276Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 17981a4b-2eda-4420-9981-54cc6a54ffee · outbound

This paper cites An open-source HW-SW Co-development frame- work enabling efficient multi-accelerator systems,.

Mega: A 22 nm Convolutional Spiking Neural Network Accelerator Achieving 0.375 pJ/SOP for Efficient Edge Vision An open-source HW-SW Co-development frame- work enabling efficient multi-accelerator systems,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-06-30T04:21:48.603276Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3a9c289b-aae4-45c7-9f98-d48b6c62e23c · outbound

This paper cites Neuromorphic LIF row-by-row multicon- volution processor for FPGA,.

Mega: A 22 nm Convolutional Spiking Neural Network Accelerator Achieving 0.375 pJ/SOP for Efficient Edge Vision Neuromorphic LIF row-by-row multicon- volution processor for FPGA,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-06-30T04:21:48.603276Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8aca5e17-a39d-484c-9ab3-eb31accea077 · outbound

This paper cites Efficient Hardware Acceleration of Sparsely Active Convolutional Spiking Neural Networks,.

Mega: A 22 nm Convolutional Spiking Neural Network Accelerator Achieving 0.375 pJ/SOP for Efficient Edge Vision Efficient Hardware Acceleration of Sparsely Active Convolutional Spiking Neural Networks,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-06-30T04:21:48.603276Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee2ff5e4-9603-4db7-bc9b-9f8b3b8c7639 · outbound

This paper cites ReckOn: A 28nm Sub-mm 2 Task-Agnostic Spiking Recurrent Neural Network Processor Enabling On-Chip Learning over Second-Long Timescales,.

Mega: A 22 nm Convolutional Spiking Neural Network Accelerator Achieving 0.375 pJ/SOP for Efficient Edge Vision ReckOn: A 28nm Sub-mm 2 Task-Agnostic Spiking Recurrent Neural Network Processor Enabling On-Chip Learning over Second-Long Timescales,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-06-30T04:21:48.603276Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 64c9f5c3-370e-4748-af49-47d5ea07a1f5 · outbound

This paper cites ANP-I: A 28nm 1.5pJ/SOP Asynchronous Spiking Neu- ral Network Processor Enabling Sub-0.1µJ/Sample On-Chip Learning for Edge-AI Applications,.

Mega: A 22 nm Convolutional Spiking Neural Network Accelerator Achieving 0.375 pJ/SOP for Efficient Edge Vision ANP-I: A 28nm 1.5pJ/SOP Asynchronous Spiking Neu- ral Network Processor Enabling Sub-0.1µJ/Sample On-Chip Learning for Edge-AI Applications,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-06-30T04:21:48.603276Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b9df8577-e4e1-4962-8b45-e3dc7e4eda3c · outbound

This paper cites A 22nm 0.26nW/Synapse Spike-Driven Spiking Neural Network Processing Unit Using Time-Step-First Dataflow and Sparsity- Adaptive In-Memory Computing,.

Mega: A 22 nm Convolutional Spiking Neural Network Accelerator Achieving 0.375 pJ/SOP for Efficient Edge Vision A 22nm 0.26nW/Synapse Spike-Driven Spiking Neural Network Processing Unit Using Time-Step-First Dataflow and Sparsity- Adaptive In-Memory Computing,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-06-30T04:21:48.603276Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3f3441f5-241b-44b8-a623-2f80b46963de · outbound

This paper cites A 65nm 5 TOPS/W digital CIM accelerator with reconfigurable precision and temporal pipelining for spiking neural networks,.

Mega: A 22 nm Convolutional Spiking Neural Network Accelerator Achieving 0.375 pJ/SOP for Efficient Edge Vision A 65nm 5 TOPS/W digital CIM accelerator with reconfigurable precision and temporal pipelining for spiking neural networks,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-06-30T04:21:48.603276Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c1392a4e-1a8c-421e-a18d-63766566e228 · outbound

This paper cites SpikeRAM: A 48.1pW/Synapse/Bit Event-Driven Spiking Compute-Near/In-Memory Processor with Neuromorphic Sensor En- abling Life-Long On-Chip Learning,.

Mega: A 22 nm Convolutional Spiking Neural Network Accelerator Achieving 0.375 pJ/SOP for Efficient Edge Vision SpikeRAM: A 48.1pW/Synapse/Bit Event-Driven Spiking Compute-Near/In-Memory Processor with Neuromorphic Sensor En- abling Life-Long On-Chip Learning,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-06-30T04:21:48.603276Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 373b1c73-6304-4f0f-8232-15e48514d25a · outbound

This paper cites A low power, fully event-based gesture recognition system,.

Mega: A 22 nm Convolutional Spiking Neural Network Accelerator Achieving 0.375 pJ/SOP for Efficient Edge Vision A low power, fully event-based gesture recognition system,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-06-30T04:21:48.603276Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 3c5af566-4f29-4327-81f0-965617e1549a · inbound

BitFair: A 12nm Bit-Serial CNN Accelerator with Learnable Early Termination and Adaptive Bit Ordering for Ultra-Low-Power XR Vision cites this paper.

BitFair: A 12nm Bit-Serial CNN Accelerator with Learnable Early Termination and Adaptive Bit Ordering for Ultra-Low-Power XR Vision Mega: A 22 nm Convolutional Spiking Neural Network Accelerator Achieving 0.375 pJ/SOP for Efficient Edge Vision

Reference 39

Resolution: unresolved; no resolver link, observed 2026-07-11T23:52:01.109112Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.