Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-14T13:49:10.622036Z
Paper Citation Record · LEDGER
Design space exploration of Ferroelectric FET based Processing-in-Memory DNN Accelerator
As of 16 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 0 inbound Pith citation observations for arXiv:1908.07942.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+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
Reference resolution
17 of 17 outbound references displayed
- verified exact1
- verified fuzzy13
- unresolved3
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation ee1ca8f9-ba06-4d28-ade9-95e8ba9ac29b · outbound
This paper cites an unresolved cited work.
Design space exploration of Ferroelectric FET based Processing-in-Memory DNN Accelerator Unresolved cited work
Reference 1
- Resolution
- unresolved
- raw_fallback, observed 2026-08-14T13:49:10.905103Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 70464922-47c1-402e-98e6-e1375d6f26fb · outbound
This paper cites Ferroelectric FET analog synapse for acceleration of deep neural network training,.
Design space exploration of Ferroelectric FET based Processing-in-Memory DNN Accelerator Ferroelectric FET analog synapse for acceleration of deep neural network training,
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T13:49:10.560040Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2abc1688-9f12-4804-af6a-c55c049cc0ac · outbound
This paper cites Acceleration of deep neural network training with resistive cross-point devices: Design considerations,.
Design space exploration of Ferroelectric FET based Processing-in-Memory DNN Accelerator Acceleration of deep neural network training with resistive cross-point devices: Design considerations,
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:49:10.894837Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 244c565b-d370-4ec1-a7f8-eee5ecaa187d · outbound
This paper cites Fully parallel write/read in resistive synaptic array for accelerating on-chip learning,.
Design space exploration of Ferroelectric FET based Processing-in-Memory DNN Accelerator Fully parallel write/read in resistive synaptic array for accelerating on-chip learning,
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:49:10.873999Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 60068324-c40b-4718-9620-6531c495a9f6 · outbound
This paper cites Nanoscale memristor device as synapse in neuromorphic systems,.
Design space exploration of Ferroelectric FET based Processing-in-Memory DNN Accelerator Nanoscale memristor device as synapse in neuromorphic systems,
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:49:10.863091Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 73b26139-2fd8-4a24-b86c-615a48d25ee1 · outbound
This paper cites HfZrOx -based Ferroelectric Synapse Device with 32 levels of Conductance States for Neuromorphic Applications,.
Design space exploration of Ferroelectric FET based Processing-in-Memory DNN Accelerator HfZrOx -based Ferroelectric Synapse Device with 32 levels of Conductance States for Neuromorphic Applications,
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:49:10.852449Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 354cfe0a-afa7-46c2-95e6-325c3680204a · outbound
This paper cites Scaling-up resistive synaptic arrays for neuro-inspired architecture: Challenges and prospect,.
Design space exploration of Ferroelectric FET based Processing-in-Memory DNN Accelerator Scaling-up resistive synaptic arrays for neuro-inspired architecture: Challenges and prospect,
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:49:10.884471Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 7349bcad-4b0e-4d25-aa00-e4d5b1f8d532 · outbound
This paper cites On-chip training of memristor crossbar based multi-layer neural networks,.
Design space exploration of Ferroelectric FET based Processing-in-Memory DNN Accelerator On-chip training of memristor crossbar based multi-layer neural networks,
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:49:10.841843Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation e57f9ded-c17a-4d53-9cde-a4a18fc41b4a · outbound
This paper cites Prezioso et al,.
Design space exploration of Ferroelectric FET based Processing-in-Memory DNN Accelerator Prezioso et al,
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:49:10.830813Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation c7efe3cb-af73-471f-8d4e-a151485eb134 · outbound
This paper cites Soudry et al.,Memristor-based multilayer neural networks with online gradient descent training, IEEE Trans.
Design space exploration of Ferroelectric FET based Processing-in-Memory DNN Accelerator Soudry et al.,Memristor-based multilayer neural networks with online gradient descent training, IEEE Trans
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:49:10.819959Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 2bf7e0ff-8853-4164-b40f-b8793537efba · outbound
This paper cites Memristor crossbar based hardware realization of BSB recall function,.
Design space exploration of Ferroelectric FET based Processing-in-Memory DNN Accelerator Memristor crossbar based hardware realization of BSB recall function,
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:49:10.808026Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 43793662-2dfd-42d9-8a67-82352d87bfe5 · outbound
This paper cites Training itself: Mixed-signal training acceleration for memristor-based neural network,.
Design space exploration of Ferroelectric FET based Processing-in-Memory DNN Accelerator Training itself: Mixed-signal training acceleration for memristor-based neural network,
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:49:10.796342Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation c64bbb89-fdb9-4d99-bd5c-8dfa1cac62f0 · outbound
This paper cites Principles of Neurodynamics: Perceptrons and the Theory of Brain Mechanisms.
Design space exploration of Ferroelectric FET based Processing-in-Memory DNN Accelerator Principles of Neurodynamics: Perceptrons and the Theory of Brain Mechanisms
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:49:10.785261Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation a4ad3683-b757-4696-afe7-c800819d0136 · outbound
This paper cites Learning representations by back-propagating errors.
Design space exploration of Ferroelectric FET based Processing-in-Memory DNN Accelerator Learning representations by back-propagating errors
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T13:49:10.611151Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 98b9327b-2c22-44fa-ba0f-402be216d090 · outbound
This paper cites Schenk et al.
Design space exploration of Ferroelectric FET based Processing-in-Memory DNN Accelerator Schenk et al
Reference 16
- Resolution
- verified exact
- doi, observed 2026-08-14T13:49:10.654536Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 7112dd0d-8359-404c-87bd-7ca21fefc985 · outbound
This paper cites Efficient BackProp.
Design space exploration of Ferroelectric FET based Processing-in-Memory DNN Accelerator Efficient BackProp
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:49:10.773951Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation a15d8110-0c13-4a4b-a059-7412111eea1f · outbound
This paper cites Rectifier nonlinearities improve neural network acoustic models.
Design space exploration of Ferroelectric FET based Processing-in-Memory DNN Accelerator Rectifier nonlinearities improve neural network acoustic models
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:49:10.762750Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Pith citing papers
No inbound Pith citation observations are available.