Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-16T01:06:55.116317Z
Paper Citation Record · LEDGER
OASIS: Optimized Lightweight Autoencoder System for Distributed In-Sensor computing
As of 22 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 0 inbound Pith citation observations for arXiv:2505.02256.
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 2026-08-22T06:32:14.747728+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
52 of 52 outbound references displayed
- verified exact1
- verified fuzzy41
- unresolved9
- parse uncertain0
- malformed identifier0
- metadata mismatch1
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 85a7bc10-6168-43c5-bb96-5ce53e99ae1f · outbound
This paper cites Deep learning-based computer vision for surveillance in its: Evaluation of state-of-the-art methods.
OASIS: Optimized Lightweight Autoencoder System for Distributed In-Sensor computing Deep learning-based computer vision for surveillance in its: Evaluation of state-of-the-art methods
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T01:06:56.185929Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 5a5412b6-7150-498d-bae0-1377eb3729af · outbound
This paper cites How computer vision can facilitate flood management: A systematic review.
OASIS: Optimized Lightweight Autoencoder System for Distributed In-Sensor computing How computer vision can facilitate flood management: A systematic review
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T01:06:56.168873Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation aed3392a-f70c-49f2-8bb4-1eae28557187 · outbound
This paper cites an unresolved cited work.
OASIS: Optimized Lightweight Autoencoder System for Distributed In-Sensor computing Unresolved cited work
Reference 3
- Resolution
- unresolved
- raw_fallback, observed 2026-08-16T01:06:56.152244Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation a291fc41-2050-4c85-9764-ae26674276c9 · outbound
This paper cites Near-sensor distributed dnn processing for aug- mented and virtual reality.
OASIS: Optimized Lightweight Autoencoder System for Distributed In-Sensor computing Near-sensor distributed dnn processing for aug- mented and virtual reality
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T01:06:56.136085Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 07464c75-4dcd-4ba1-bade-ca9347c4db40 · outbound
This paper cites https://www.sony.com/en/SonyInfo/News/Press/ 202005/20-037E/, 2020.
OASIS: Optimized Lightweight Autoencoder System for Distributed In-Sensor computing https://www.sony.com/en/SonyInfo/News/Press/ 202005/20-037E/, 2020
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T01:06:56.114382Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 4101ca01-1d84-41e6-97e2-4d22b936a649 · outbound
This paper cites Processing near sensor architecture in mixed- signal domain with cmos image sensor of convolutional-kernel-readout method.
OASIS: Optimized Lightweight Autoencoder System for Distributed In-Sensor computing Processing near sensor architecture in mixed- signal domain with cmos image sensor of convolutional-kernel-readout method
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T01:06:56.098073Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 79ed34b0-c698-454e-9786-3d5d2c3616dc · outbound
This paper cites Ultrafast machine vision with 2D material neural network image sensors.
OASIS: Optimized Lightweight Autoencoder System for Distributed In-Sensor computing Ultrafast machine vision with 2D material neural network image sensors
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T01:06:56.080050Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 91f43314-d1b9-4991-9ccf-8627466575c6 · outbound
This paper cites Fully embedding fast convolutional networks on pixel processor arrays.
OASIS: Optimized Lightweight Autoencoder System for Distributed In-Sensor computing Fully embedding fast convolutional networks on pixel processor arrays
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T01:06:56.061155Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation d74bc96c-5524-4ac0-9aad-bab3429722ea · outbound
This paper cites A reconfigurable convolution-in-pixel CMOS image sensor architecture.
OASIS: Optimized Lightweight Autoencoder System for Distributed In-Sensor computing A reconfigurable convolution-in-pixel CMOS image sensor architecture
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T01:06:56.042302Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 02bf5cf0-3b3f-4f78-ad28-54e8c62c8262 · outbound
This paper cites Integrated pixel and two-terminal non- volatile memory cell and an array of cells for deep in-sensor, in-memory computing, December 7 2021.
OASIS: Optimized Lightweight Autoencoder System for Distributed In-Sensor computing Integrated pixel and two-terminal non- volatile memory cell and an array of cells for deep in-sensor, in-memory computing, December 7 2021
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T01:06:56.016580Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation fada871a-98f3-4342-8fc9-500653a73117 · outbound
This paper cites Pisa: A non-volatile processing-in-sensor accel- erator for imaging systems.
OASIS: Optimized Lightweight Autoencoder System for Distributed In-Sensor computing Pisa: A non-volatile processing-in-sensor accel- erator for imaging systems
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T01:06:55.998245Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 60b5e75c-2d5d-4cbb-825d-b431b18378a2 · outbound
This paper cites P2M-DeTrack: Processing-in-pixel-in-memory for energy-efficient and real-time multi-object detection and tracking.
OASIS: Optimized Lightweight Autoencoder System for Distributed In-Sensor computing P2M-DeTrack: Processing-in-pixel-in-memory for energy-efficient and real-time multi-object detection and tracking
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T01:06:55.973022Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 168ab6d2-3323-4a6c-ae18-054f36b4ab58 · outbound
This paper cites P2M: A processing-in-pixel-in-memory paradigm for resource-constrained TinyML applications.
OASIS: Optimized Lightweight Autoencoder System for Distributed In-Sensor computing P2M: A processing-in-pixel-in-memory paradigm for resource-constrained TinyML applications
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T01:06:55.955857Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation d1c39643-f763-4568-a87f-b62e173564b5 · outbound
This paper cites Voltage-Controlled Magnetic Tunnel Junction based ADC-less Global Shutter Processing-in-Pixel for Extreme-Edge Intelligence.
OASIS: Optimized Lightweight Autoencoder System for Distributed In-Sensor computing Voltage-Controlled Magnetic Tunnel Junction based ADC-less Global Shutter Processing-in-Pixel for Extreme-Edge Intelligence
Reference 14
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-16T01:06:55.287090Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation f69112df-1c37-482a-b443-ab90f22b98ae · outbound
This paper cites Beerel, and Akhilesh R.
OASIS: Optimized Lightweight Autoencoder System for Distributed In-Sensor computing Beerel, and Akhilesh R
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T01:06:55.938653Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 6bc50df2-e62b-4b42-b96a-0d42c6a0a388 · outbound
This paper cites Distributed on-sensor compute system for AR/VR devices: A semi-analytical simulation framework for power estimation.
OASIS: Optimized Lightweight Autoencoder System for Distributed In-Sensor computing Distributed on-sensor compute system for AR/VR devices: A semi-analytical simulation framework for power estimation
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T01:06:55.920508Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation add20084-45f1-452e-86e3-01f1c2d6e323 · outbound
This paper cites Estimating power, performance, and area for on-sensor deployment of ar/vr workloads using an analytical frame- work.
OASIS: Optimized Lightweight Autoencoder System for Distributed In-Sensor computing Estimating power, performance, and area for on-sensor deployment of ar/vr workloads using an analytical frame- work
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T01:06:55.900765Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation f2381084-e3bb-4e92-a4c9-d8e2d960df39 · outbound
This paper cites Splitnets: Designing neural architectures for efficient distributed computing on head-mounted systems.
OASIS: Optimized Lightweight Autoencoder System for Distributed In-Sensor computing Splitnets: Designing neural architectures for efficient distributed computing on head-mounted systems
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T01:06:55.882196Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 3e4a1b32-5c18-4833-9a9e-f60ef25d23e7 · outbound
This paper cites an unresolved cited work.
OASIS: Optimized Lightweight Autoencoder System for Distributed In-Sensor computing Unresolved cited work
Reference 19
- Resolution
- unresolved
- raw_fallback, observed 2026-08-16T01:06:55.860533Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 700794b3-3fb7-4a18-81cf-dafc9f371e63 · outbound
This paper cites Torfason et al.
OASIS: Optimized Lightweight Autoencoder System for Distributed In-Sensor computing Torfason et al
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T01:06:55.844218Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 2a20881a-6763-4706-b4ed-a982ed07f233 · outbound
This paper cites Deep residual learning for image recognition.
OASIS: Optimized Lightweight Autoencoder System for Distributed In-Sensor computing Deep residual learning for image recognition
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T01:06:55.828043Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation f67b0ef7-d7bf-455b-8fa9-ef958a14c89a · outbound
This paper cites Swin transformer: Hierarchical vision transformer using shifted windows.
OASIS: Optimized Lightweight Autoencoder System for Distributed In-Sensor computing Swin transformer: Hierarchical vision transformer using shifted windows
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T01:06:55.809489Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 98164d4f-02c4-496b-a2b6-d738fb33e6db · outbound
This paper cites Soft-to-hard vector quantization for end-to-end learning compressible representations.
OASIS: Optimized Lightweight Autoencoder System for Distributed In-Sensor computing Soft-to-hard vector quantization for end-to-end learning compressible representations
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T01:06:55.792035Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 34846bd2-fa31-4927-8398-606d8c48b159 · outbound
This paper cites Quantization and training of neural networks for efficient integer-arithmetic-only inference.
OASIS: Optimized Lightweight Autoencoder System for Distributed In-Sensor computing Quantization and training of neural networks for efficient integer-arithmetic-only inference
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T01:06:55.770543Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 56d900fc-25ed-4af5-ba23-a3a287383e63 · outbound
This paper cites Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation.
OASIS: Optimized Lightweight Autoencoder System for Distributed In-Sensor computing Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T01:06:54.962684Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5de9e794-29a0-42d6-a55f-8a0c8957acb3 · outbound
This paper cites I-vit: Integer-only quantization for efficient vision transformer inference.
OASIS: Optimized Lightweight Autoencoder System for Distributed In-Sensor computing I-vit: Integer-only quantization for efficient vision transformer inference
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T01:06:55.748090Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 7548a4dd-1c4c-4da0-985d-da4652d7f405 · outbound
This paper cites an unresolved cited work.
OASIS: Optimized Lightweight Autoencoder System for Distributed In-Sensor computing Unresolved cited work
Reference 27
- Resolution
- unresolved
- raw_fallback, observed 2026-08-16T01:06:55.725655Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation efce268f-902b-494f-b7a2-46abe4815084 · outbound
This paper cites Cmos image sensors: Electronic camera-on-a-chip.
OASIS: Optimized Lightweight Autoencoder System for Distributed In-Sensor computing Cmos image sensors: Electronic camera-on-a-chip
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T01:06:55.705878Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 23853f78-c8d9-449e-a27d-51ebf43cf558 · outbound
This paper cites Kawahito.
OASIS: Optimized Lightweight Autoencoder System for Distributed In-Sensor computing Kawahito
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T01:06:55.685371Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 1e100720-d51b-4971-a7bc-b647771d0f15 · outbound
This paper cites Hsu et al.
OASIS: Optimized Lightweight Autoencoder System for Distributed In-Sensor computing Hsu et al
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T01:06:55.665751Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 70abd20f-32a2-4c09-b2e5-a4057351cb1a · outbound
This paper cites Venus: A versatile deep neural network accelerator architecture design for multiple applications.
OASIS: Optimized Lightweight Autoencoder System for Distributed In-Sensor computing Venus: A versatile deep neural network accelerator architecture design for multiple applications
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T01:06:55.644854Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation a97fb828-c0e8-4a1c-b6f6-234db714710a · outbound
This paper cites Jacob, Peter A.
OASIS: Optimized Lightweight Autoencoder System for Distributed In-Sensor computing Jacob, Peter A
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T01:06:55.625438Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation ebcc66cb-b55a-4849-a858-06139c0cdf78 · outbound
This paper cites Jacob, Akhilesh R.
OASIS: Optimized Lightweight Autoencoder System for Distributed In-Sensor computing Jacob, Akhilesh R
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T01:06:55.606444Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation acac4da6-f999-461f-b5da-7fc96704ff2b · outbound
This paper cites Liu and Y.
OASIS: Optimized Lightweight Autoencoder System for Distributed In-Sensor computing Liu and Y
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T01:06:55.589564Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation d708baa8-f002-49fe-9818-42002b016671 · outbound
This paper cites Vivet and A.
OASIS: Optimized Lightweight Autoencoder System for Distributed In-Sensor computing Vivet and A
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T01:06:55.568911Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 69e3364e-e36d-4e2f-a30c-c0d8e0a09686 · outbound
This paper cites Choi et al.
OASIS: Optimized Lightweight Autoencoder System for Distributed In-Sensor computing Choi et al
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T01:06:55.548945Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 86d244e0-8212-40a6-8e4e-8fe658792c47 · outbound
This paper cites A 3.0 Gsymbol/s/lane MIPI C-PHY receiver with adaptive level-dependent equalizer for mobile CMOS image sensor.
OASIS: Optimized Lightweight Autoencoder System for Distributed In-Sensor computing A 3.0 Gsymbol/s/lane MIPI C-PHY receiver with adaptive level-dependent equalizer for mobile CMOS image sensor
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T01:06:55.530656Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation adede301-084a-47b7-bd00-4275001d25b9 · outbound
This paper cites an unresolved cited work.
OASIS: Optimized Lightweight Autoencoder System for Distributed In-Sensor computing Unresolved cited work
Reference 38
- Resolution
- unresolved
- raw_fallback, observed 2026-08-16T01:06:55.512824Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 0c85ae9a-52d5-459f-8282-4266dbef6b5a · outbound
This paper cites Robust 7-nm SRAM design on a predictive PDK.
OASIS: Optimized Lightweight Autoencoder System for Distributed In-Sensor computing Robust 7-nm SRAM design on a predictive PDK
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T01:06:55.492319Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 7956cbcd-6502-4a06-9a95-948202b41f6f · outbound
This paper cites Low power text compression for huffman coding using altera FPGA.
OASIS: Optimized Lightweight Autoencoder System for Distributed In-Sensor computing Low power text compression for huffman coding using altera FPGA
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T01:06:55.473335Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 962a9690-a6c9-420c-9526-af9e0522596c · outbound
This paper cites Visual Wake Words Dataset.
OASIS: Optimized Lightweight Autoencoder System for Distributed In-Sensor computing Visual Wake Words Dataset
Reference 41
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T01:06:55.055233Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9a1c66da-d882-4612-ada2-3aa693727c51 · outbound
This paper cites Real-time gaze tracking with event-driven eye segmenta- tion.
OASIS: Optimized Lightweight Autoencoder System for Distributed In-Sensor computing Real-time gaze tracking with event-driven eye segmenta- tion
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T01:06:55.450386Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 283379a0-93c3-443b-ba4c-57fb309d718a · outbound
This paper cites A hand pose tracking benchmark from stereo matching.
OASIS: Optimized Lightweight Autoencoder System for Distributed In-Sensor computing A hand pose tracking benchmark from stereo matching
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T01:06:55.431112Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 5f704959-4a0a-4a39-800c-9f1e75d9667c · outbound
This paper cites Megatrack: monochrome egocentric articulated hand-tracking for virtual reality.
OASIS: Optimized Lightweight Autoencoder System for Distributed In-Sensor computing Megatrack: monochrome egocentric articulated hand-tracking for virtual reality
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T01:06:55.411936Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation f9346832-904c-4ad1-b994-b2fe42fa46f3 · outbound
This paper cites OpenEDS2020: Open Eyes Dataset.
OASIS: Optimized Lightweight Autoencoder System for Distributed In-Sensor computing OpenEDS2020: Open Eyes Dataset
Reference 45
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T01:06:55.075343Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 423473ff-5ebe-4436-a60c-0633e02b8f36 · outbound
This paper cites Energy-Efficient & Real-Time Computer Vision with Intelligent Skipping via Reconfigurable CMOS Image Sensors.
OASIS: Optimized Lightweight Autoencoder System for Distributed In-Sensor computing Energy-Efficient & Real-Time Computer Vision with Intelligent Skipping via Reconfigurable CMOS Image Sensors
Reference 46
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T01:06:55.080596Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 06d96b5a-a54f-4472-a4d4-f0d5f19057e2 · outbound
This paper cites Utilizing direct photocurrent computation and 2d kernel scheduling to improve in-sensor-processing efficiency.
OASIS: Optimized Lightweight Autoencoder System for Distributed In-Sensor computing Utilizing direct photocurrent computation and 2d kernel scheduling to improve in-sensor-processing efficiency
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T01:06:55.392309Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 89b2a41d-d79c-4248-b2fa-cfe86d84edc5 · outbound
This paper cites A Reconfigurable Convolution-in-Pixel CMOS Image Sensor Architecture.
OASIS: Optimized Lightweight Autoencoder System for Distributed In-Sensor computing A Reconfigurable Convolution-in-Pixel CMOS Image Sensor Architecture
Reference 48
- Resolution
- verified exact
- local_arxiv, observed 2026-08-16T01:06:55.172843Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation f7d44a53-d091-4333-84bd-99d7f8ab6171 · outbound
This paper cites Xu and et al.
OASIS: Optimized Lightweight Autoencoder System for Distributed In-Sensor computing Xu and et al
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T01:06:55.368037Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 7439d6a0-b2d3-4b7a-9974-73c8c1164d97 · outbound
This paper cites MR-PIPA: An integrated multilevel RRAM (HfOx)-Based processing-in-pixel accelerator.
OASIS: Optimized Lightweight Autoencoder System for Distributed In-Sensor computing MR-PIPA: An integrated multilevel RRAM (HfOx)-Based processing-in-pixel accelerator
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T01:06:55.348133Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 2310aaa8-50f9-4c0b-86c7-12c4a578608b · outbound
This paper cites PiPSim: A behavior-level modeling tool for CNN processing-in-pixel accelerators.
OASIS: Optimized Lightweight Autoencoder System for Distributed In-Sensor computing PiPSim: A behavior-level modeling tool for CNN processing-in-pixel accelerators
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T01:06:55.326725Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation ca101b9e-1938-4705-811e-837ca6d010d6 · outbound
This paper cites an unresolved cited work.
OASIS: Optimized Lightweight Autoencoder System for Distributed In-Sensor computing Unresolved cited work
Reference 52
- Resolution
- unresolved
- raw_fallback, observed 2026-08-16T01:06:55.307503Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Pith citing papers
No inbound Pith citation observations are available.