Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-12T14:49:27.965402Z
Paper Citation Record · LEDGER
As of 13 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 0 inbound Pith citation observations for arXiv:2412.06795.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-12T14:49:27.965402Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
52 of 52 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation a82fdaae-108a-43fe-8ddb-44ca26824044 · outbound
SpikeFI: A Fault Injection Framework for Spiking Neural Networks Towards spike-based machine intelligence with neuromorphic computing,
Reference 1
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 4d74ebf6-ed9c-4ef5-b366-c507520e6276 · outbound
SpikeFI: A Fault Injection Framework for Spiking Neural Networks Opportunities for neuromorphic computing algorithms and applications,
Reference 2
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 746eaf0e-7e02-4eb7-94d1-f09903b0a5a9 · outbound
SpikeFI: A Fault Injection Framework for Spiking Neural Networks The SpiNNaker Project,
Reference 3
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation aa45a333-24b9-4d3b-86a1-61c152957c8d · outbound
SpikeFI: A Fault Injection Framework for Spiking Neural Networks A million spiking-neuron integrated circuit with a scalable communication network and interface,
Reference 4
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 76a24d39-0ce8-43da-8c14-76b212909d1f · outbound
SpikeFI: A Fault Injection Framework for Spiking Neural Networks Loihi: A neuromorphic manycore processor with on-chip learning,
Reference 5
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 5040ed34-a43f-4c54-9e90-949e978c5ae7 · outbound
SpikeFI: A Fault Injection Framework for Spiking Neural Networks A wafer-scale neuromorphic hardware system for large-scale neural modeling,
Reference 6
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 0e1ba9a8-d719-4529-ba2c-a59d047db139 · outbound
SpikeFI: A Fault Injection Framework for Spiking Neural Networks Neurogrid: A mixed-analog-digital multichip system for large-scale neural simulations,
Reference 7
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 7402b30c-e5b7-41f8-a31f-92e1c5b5fc70 · outbound
SpikeFI: A Fault Injection Framework for Spiking Neural Networks Machine learning-based test pattern generation for neuromorphic chips,
Reference 8
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 aab91c56-74e3-4998-be77-8a6d077f08a6 · outbound
SpikeFI: A Fault Injection Framework for Spiking Neural Networks Automatic test configuration and pattern generation (atcpg) for neuromorphic chips,
Reference 9
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 6e3befd9-a50d-4568-b5ef-4b052a5e7249 · outbound
SpikeFI: A Fault Injection Framework for Spiking Neural Networks Compact functional testing for neuromorphic computing circuits,
Reference 10
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 f5b6c5c1-b24c-429b-b2a8-a5d9b8aa41f3 · outbound
SpikeFI: A Fault Injection Framework for Spiking Neural Networks On-line testing of neuromorphic hardware,
Reference 11
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 73c0ed19-6533-4627-8ce3-295c6d8a00cc · outbound
SpikeFI: A Fault Injection Framework for Spiking Neural Networks Resilience and robustness of spiking neural networks for neuromorphic systems,
Reference 12
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 a7cd905a-0fa0-43c8-81ff-b5b7be4bb361 · outbound
SpikeFI: A Fault Injection Framework for Spiking Neural Networks Automatic abstraction and fault tolerance in cortical microachitectures,
Reference 13
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 f6921932-4945-4279-8297-60a836b3c8f3 · outbound
SpikeFI: A Fault Injection Framework for Spiking Neural Networks Assessing self-repair on FPGAs with biologically realistic astrocyte-neuron networks,
Reference 14
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 6bf73ac4-b387-4cbc-bb01-9f651f5ed013 · outbound
SpikeFI: A Fault Injection Framework for Spiking Neural Networks Homeostatic fault tolerance in spiking neural networks: A dynamic hardware perspective,
Reference 15
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 9671e3c7-7ba2-47d1-a7dd-f88d12af3007 · outbound
SpikeFI: A Fault Injection Framework for Spiking Neural Networks SPAN- NER: A self-repairing spiking neural network hardware architecture,
Reference 16
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 db25c855-ebfd-4493-8d41-7a1eeb89dfb2 · outbound
SpikeFI: A Fault Injection Framework for Spiking Neural Networks Self-testing analog spiking neuron circuit,
Reference 17
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 4e978827-74e2-49b0-ab69-2d1cbeecc66b · outbound
SpikeFI: A Fault Injection Framework for Spiking Neural Networks Neuron fault tolerance in spiking neural networks,
Reference 18
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 784aa545-3f2c-436a-9e79-d570c0f45a94 · outbound
SpikeFI: A Fault Injection Framework for Spiking Neural Networks SoftSNN: Low-cost fault tolerance for spiking neural network accelerators under soft errors,
Reference 19
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 40728d35-c3e2-47e3-9f90-24dc4d85e995 · outbound
SpikeFI: A Fault Injection Framework for Spiking Neural Networks A resilience framework for synapse weight errors and firing threshold perturbations in RRAM spiking neural networks,
Reference 20
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 604b84a9-b77b-4243-a653-072d67c9bbb2 · outbound
SpikeFI: A Fault Injection Framework for Spiking Neural Networks Reliability analysis of a spiking neural network hardware accelerator,
Reference 21
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 a040173c-d262-419c-9d27-0a271df03848 · outbound
SpikeFI: A Fault Injection Framework for Spiking Neural Networks Special session: Reliability of hardware-implemented spiking neural networks (SNN),
Reference 22
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 0c7082de-5fd7-4767-a952-af3a56d6985d · outbound
SpikeFI: A Fault Injection Framework for Spiking Neural Networks SpikingJET: Enhancing fault injection for fully and convolutional spiking neural networks,
Reference 23
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 2a00860c-3b72-42a4-8db6-18e08d9c35a5 · outbound
SpikeFI: A Fault Injection Framework for Spiking Neural Networks Training spiking neural networks using lessons from deep learning,
Reference 24
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 5a578f3e-afa7-4f2e-80f1-25f91b4e6282 · outbound
SpikeFI: A Fault Injection Framework for Spiking Neural Networks SLAYER: Spike layer error reassign- ment in time,
Reference 25
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 ee163186-87ec-49b3-9dfb-3a9f521a99bd · outbound
SpikeFI: A Fault Injection Framework for Spiking Neural Networks Understanding error propagation in deep learning neural network (DNN) accelerators and applications,
Reference 26
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 86bec341-2e83-4f24-a657-13e06014ccce · outbound
SpikeFI: A Fault Injection Framework for Spiking Neural Networks Ares: A framework for quantifying the resilience of deep neural networks,
Reference 27
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 0258d5b7-2614-414c-93cd-0ed9afd72c19 · outbound
SpikeFI: A Fault Injection Framework for Spiking Neural Networks PyTorchFI: A runtime perturbation tool for DNNs,
Reference 28
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 746ae228-1cdf-4358-82b9-6ada1cf1802b · outbound
SpikeFI: A Fault Injection Framework for Spiking Neural Networks TensorFI: A flexible fault injection framework for tensor- flow applications,
Reference 29
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 7b5e287c-a568-4da4-be5d-91804f49e6aa · outbound
SpikeFI: A Fault Injection Framework for Spiking Neural Networks Fault injection for TensorFlow applications,
Reference 30
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 b6a95bf9-c676-43c3-abe9-0ab99ffeec6c · outbound
SpikeFI: A Fault Injection Framework for Spiking Neural Networks FIdelity: Efficient resilience analysis framework for deep learning accelerators,
Reference 31
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 41888f1a-5db6-4287-a534-de9615d8739a · outbound
SpikeFI: A Fault Injection Framework for Spiking Neural Networks Fast and accurate error simulation for CNNs against soft errors,
Reference 32
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 5012b43a-08a4-4e51-89aa-a80c3f627c20 · outbound
SpikeFI: A Fault Injection Framework for Spiking Neural Networks Emulating the effects of radiation-induced soft-errors for the reliability assessment of neural networks,
Reference 33
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 031d3457-bbea-4af2-9673-0f22f159dead · outbound
SpikeFI: A Fault Injection Framework for Spiking Neural Networks BinFI: An efficient fault injector for safety-critical machine learning systems,
Reference 34
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 7deab69a-70d4-4b27-8bfa-44c4ded0ef2e · outbound
SpikeFI: A Fault Injection Framework for Spiking Neural Networks Functional criticality analysis of structural faults in AI accelerators,
Reference 35
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 06219cac-eed9-4e6e-9001-313f0583af60 · outbound
SpikeFI: A Fault Injection Framework for Spiking Neural Networks SCI-FI: a smart, accurate and unintrusive fault-injector for deep neural networks,
Reference 36
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 005ce207-0359-41ca-af6a-2999c613be2c · outbound
SpikeFI: A Fault Injection Framework for Spiking Neural Networks Assessing convolutional neural networks reliability through statistical fault injections,
Reference 37
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 dff318f5-de31-4e2a-8309-25ba7826a8dc · outbound
SpikeFI: A Fault Injection Framework for Spiking Neural Networks SASSIFI: An architecture-level fault injection tool for GPU application resilience evaluation,
Reference 38
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 b5319b82-4938-4bfa-a872-ee9a1ec9abd7 · outbound
SpikeFI: A Fault Injection Framework for Spiking Neural Networks NVBitFI: Dynamic fault injection for GPUs,
Reference 39
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 c5003e22-3f21-4304-86a9-b9cdf52363ca · outbound
SpikeFI: A Fault Injection Framework for Spiking Neural Networks Testability and dependability of AI hardware: Survey, trends, challenges, and perspectives,
Reference 40
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 cdd145b9-6d8d-4198-ba1f-5cf1a644cf65 · outbound
SpikeFI: A Fault Injection Framework for Spiking Neural Networks A survey on deep learning resilience assessment methodologies,
Reference 41
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 9a4d4b67-3592-49d3-92f3-1c25099f61ec · outbound
SpikeFI: A Fault Injection Framework for Spiking Neural Networks Testing and reliability of spiking neural networks: A review of the state-of-the-art,
Reference 42
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 647a80fc-e5c5-4184-8ca7-b499b8602985 · outbound
SpikeFI: A Fault Injection Framework for Spiking Neural Networks A systematic literature review on hardware reliability assessment methods for deep neural networks,
Reference 43
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 f883664a-5bc8-4d71-8187-a6bdb8375826 · outbound
SpikeFI: A Fault Injection Framework for Spiking Neural Networks Artificial neural networks for space and safety-critical applications: Reliability issues and potential solutions,
Reference 44
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 9cff2907-6f8d-45e3-a8ce-78345e7714bd · outbound
SpikeFI: A Fault Injection Framework for Spiking Neural Networks Networks of spiking neurons: The third generation of neural network models,
Reference 45
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 f03c0914-8763-4995-9f90-cd5f9a2b6c86 · outbound
SpikeFI: A Fault Injection Framework for Spiking Neural Networks Gerstner, W
Reference 46
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 607d67b6-7765-4291-a922-890b9e5faaeb · outbound
SpikeFI: A Fault Injection Framework for Spiking Neural Networks Deep learning in spiking neural networks,
Reference 47
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 e31baef6-7424-4190-aaae-81da375bf9d6 · outbound
SpikeFI: A Fault Injection Framework for Spiking Neural Networks Spiking neuron hardware-level fault modeling,
Reference 48
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 a915a472-9e33-40c6-8374-14942611972e · outbound
SpikeFI: A Fault Injection Framework for Spiking Neural Networks PyTorch: An imperative style, high-performance deep learning library,
Reference 49
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 67983f75-8743-4c68-8134-b5bfc0cf47b8 · outbound
SpikeFI: A Fault Injection Framework for Spiking Neural Networks Converting static image datasets to spiking neuromorphic datasets using saccades,
Reference 50
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 bda1c393-856a-4959-9575-6e4cbb7a279d · outbound
SpikeFI: A Fault Injection Framework for Spiking Neural Networks A low power, fully event-based gesture recognition system,
Reference 51
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 7a28efcc-16ad-4a42-8afd-dc9488df162d · outbound
SpikeFI: A Fault Injection Framework for Spiking Neural Networks Gradient-based learning applied to document recognition,
Reference 52
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.
No inbound Pith citation observations are available.