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Paper Citation Record · LEDGER

XR-NPE: High-Throughput Mixed-precision SIMD Neural Processing Engine for Extended Reality Perception Workloads

As of 23 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 1 inbound Pith citation observation for arXiv:2508.13049.

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

pith.paper-citation-record.v1
2508.13049 v1

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T17:20:29.932890Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T10:21:49.958716Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

35 of 35 outbound references displayed

  • verified exact0
  • verified fuzzy35
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 35ba6411-5241-4f2e-a473-1310801f4b14 · outbound

This paper cites Simulating Virtual Environment and Experience for Training, Exergaming, and Edutainment in eXtended Reality (XR): A Survey,.

XR-NPE: High-Throughput Mixed-precision SIMD Neural Processing Engine for Extended Reality Perception Workloads Simulating Virtual Environment and Experience for Training, Exergaming, and Edutainment in eXtended Reality (XR): A Survey,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:20:30.376147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T17:20:29.812687Z digest=sha256:9ba2e09644a40165a587b985d1f8ae77ee52fd290c1c4cefb1308f51f92cefe7

Observation fa021f67-97f6-4ff6-aff6-a295fbb1931f · outbound

This paper cites Augmented Reality and Virtual Reality displays: Emerging technologies and future perspectives,.

XR-NPE: High-Throughput Mixed-precision SIMD Neural Processing Engine for Extended Reality Perception Workloads Augmented Reality and Virtual Reality displays: Emerging technologies and future perspectives,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:20:30.364416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T17:20:29.817540Z digest=sha256:1b6641d936f3d6fe03d5b5c42c09347898d6aba20cee044f3e72e702999dbe5d

Observation 17ce828a-279e-4895-8b96-d2611491402e · outbound

This paper cites A 25.1-TOPS/W Sparsity-Aware Hybrid CNN-GCN Deep Learning SoC for Mobile Augmented Reality,.

XR-NPE: High-Throughput Mixed-precision SIMD Neural Processing Engine for Extended Reality Perception Workloads A 25.1-TOPS/W Sparsity-Aware Hybrid CNN-GCN Deep Learning SoC for Mobile Augmented Reality,

Reference 3

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raw_fallback, observed 2026-08-15T17:20:30.353095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T17:20:29.821815Z digest=sha256:0d7000c0755e4fa97e82db8c22abfe5179c0debcad94703a9e82e061ee76892f

Observation 254cc4ab-bd12-44a0-9770-15b6dcd1dff1 · outbound

This paper cites System-Level Design and Integration of a Prototype AR/VR Hardware Featuring a Custom Low-Power DNN Accelerator Chip in 7nm Technology for Codec Avatars,.

XR-NPE: High-Throughput Mixed-precision SIMD Neural Processing Engine for Extended Reality Perception Workloads System-Level Design and Integration of a Prototype AR/VR Hardware Featuring a Custom Low-Power DNN Accelerator Chip in 7nm Technology for Codec Avatars,

Reference 4

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verified fuzzy
raw_fallback, observed 2026-08-15T17:20:30.342113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T17:20:29.825376Z digest=sha256:72574013d0c46ea116a9ad202d6eea3058ecfef13f76d5ef36e920ca5c267dfd

Observation 60d0fbea-63ab-430e-bb68-fadf5b19140a · outbound

This paper cites An Empirical Study on Meta Virtual Reality Applications: Security and Privacy Perspectives,.

XR-NPE: High-Throughput Mixed-precision SIMD Neural Processing Engine for Extended Reality Perception Workloads An Empirical Study on Meta Virtual Reality Applications: Security and Privacy Perspectives,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:20:30.331286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T17:20:29.828861Z digest=sha256:0e8c958137f534b860cd0ade1b84a8c0bbded95d3c5b5a9eaa86707185ee7531

Observation 849c43c6-1f2d-4416-a940-793aceec7791 · outbound

This paper cites Mega.mini: A universal generative ai processor with a new big/little core architecture for npu,.

XR-NPE: High-Throughput Mixed-precision SIMD Neural Processing Engine for Extended Reality Perception Workloads Mega.mini: A universal generative ai processor with a new big/little core architecture for npu,

Reference 6

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verified fuzzy
raw_fallback, observed 2026-08-15T17:20:30.320049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T17:20:29.832470Z digest=sha256:25e81e460dca3c466974d251bbd1eb41e050c594a42bbbcbf425d7c14f83985e

Observation 24984334-56d2-47ce-8166-438845db3c70 · outbound

This paper cites Aspen: A 630 FPS Real-Time Posit-Based Unified Accelerator for Extended Reality Perception Workloads,.

XR-NPE: High-Throughput Mixed-precision SIMD Neural Processing Engine for Extended Reality Perception Workloads Aspen: A 630 FPS Real-Time Posit-Based Unified Accelerator for Extended Reality Perception Workloads,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:20:30.309397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T17:20:29.836252Z digest=sha256:4c645c5ea94636da9a1e45952e2bbc1e4ef2dd0988e5664b0e358b32392d2ee6

Observation 98b0cc1e-ba29-465a-a73c-8591f0574270 · outbound

This paper cites Occamy: A 432-Core Dual-Chiplet Dual- HBM2E 768-DP-GFLOP/s RISC-V System for 8-to-64-bit Dense and Sparse Computing in 12-nm FinFET,.

XR-NPE: High-Throughput Mixed-precision SIMD Neural Processing Engine for Extended Reality Perception Workloads Occamy: A 432-Core Dual-Chiplet Dual- HBM2E 768-DP-GFLOP/s RISC-V System for 8-to-64-bit Dense and Sparse Computing in 12-nm FinFET,

Reference 8

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raw_fallback, observed 2026-08-15T17:20:30.298691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T17:20:29.839285Z digest=sha256:21e9c1214b33688cd84598f57bc235ba0ea4b07e9c700194b77a29359b4017fc

Observation a5511eff-4691-4629-bc15-afcc81d404d5 · outbound

This paper cites Parallel Accurate Minifloat MACCs for NN Inference on Versal FPGAs,.

XR-NPE: High-Throughput Mixed-precision SIMD Neural Processing Engine for Extended Reality Perception Workloads Parallel Accurate Minifloat MACCs for NN Inference on Versal FPGAs,

Reference 9

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raw_fallback, observed 2026-08-15T17:20:30.286422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T17:20:29.842101Z digest=sha256:e4b39bde63f8b35f9767a2735d9a2950d407f7aab7079773dcb946c5a4cb510a

Observation d16b7c83-cf14-4569-b94f-be5ab4eaf15b · outbound

This paper cites Maestro: A 302 GFLOPS/W and 19.8 GFLOPS RISC-V Vector-Tensor Architecture for Wearable Ultrasound Edge Computing,.

XR-NPE: High-Throughput Mixed-precision SIMD Neural Processing Engine for Extended Reality Perception Workloads Maestro: A 302 GFLOPS/W and 19.8 GFLOPS RISC-V Vector-Tensor Architecture for Wearable Ultrasound Edge Computing,

Reference 10

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verified fuzzy
raw_fallback, observed 2026-08-15T17:20:30.275533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T17:20:29.845528Z digest=sha256:dd3a5026e98c0ef5c5dbb45da2b823269300d6b807f2d5e33b4ba1d2ede7e31f

Observation 79643283-0e24-407a-90bd-b18ce5effd60 · outbound

This paper cites Flex-PE: Flexible and SIMD Multiprecision Processing Element for AI Workloads,.

XR-NPE: High-Throughput Mixed-precision SIMD Neural Processing Engine for Extended Reality Perception Workloads Flex-PE: Flexible and SIMD Multiprecision Processing Element for AI Workloads,

Reference 11

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raw_fallback, observed 2026-08-15T17:20:30.265066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T17:20:29.848564Z digest=sha256:0c430ed9914348cdec90b67cc01d7adf4d5359ff99f00483001105c4fbfaf701

Observation 5639e8e5-cf1b-4416-8383-b1f5970dcacf · outbound

This paper cites AMD XDNA NPU in Ryzen AI Processors,.

XR-NPE: High-Throughput Mixed-precision SIMD Neural Processing Engine for Extended Reality Perception Workloads AMD XDNA NPU in Ryzen AI Processors,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:20:30.255001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T17:20:29.852460Z digest=sha256:db6e7cfd71e3e1be6705e536d9a4d87117997781ff5f39a2d65966c52b72893e

Observation bb0e6b30-ccdd-4d38-8ac6-42bca5dcd97b · outbound

This paper cites NVIDIA Blackwell Platform: Advancing Generative AI and Accelerated Computing,.

XR-NPE: High-Throughput Mixed-precision SIMD Neural Processing Engine for Extended Reality Perception Workloads NVIDIA Blackwell Platform: Advancing Generative AI and Accelerated Computing,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:20:30.243646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T17:20:29.855657Z digest=sha256:b36bb6c43529b683eec13ad2ea231d4a89fbe773c3d6242cadfde4c1b53ce15c

Observation 62e358de-5bd6-4fa5-8bc2-b469d113270e · outbound

This paper cites A Low-Cost Floating-Point FMA Unit Supporting Package Operations for HPC-AI Applications,.

XR-NPE: High-Throughput Mixed-precision SIMD Neural Processing Engine for Extended Reality Perception Workloads A Low-Cost Floating-Point FMA Unit Supporting Package Operations for HPC-AI Applications,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:20:30.232751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T17:20:29.858928Z digest=sha256:725a877b0b57d211eb4f59a3d381e1042bd54e9c1d75b13d4a3a9a0cecc5d0f1

Observation 6e1b1985-9db5-4ba0-be8a-1381508e3e7e · outbound

This paper cites A Multi-Mode 8k-MAC HW-Utilization- Aware Neural Processing Unit With a Unified Multi-Precision Datapath in 4-nm Flagship Mobile SoC,.

XR-NPE: High-Throughput Mixed-precision SIMD Neural Processing Engine for Extended Reality Perception Workloads A Multi-Mode 8k-MAC HW-Utilization- Aware Neural Processing Unit With a Unified Multi-Precision Datapath in 4-nm Flagship Mobile SoC,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:20:30.220321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T17:20:29.861947Z digest=sha256:91844cfdf8349b4a8a8e1643facbce070e70808db7d997e3f2f2e77e79b89583

Observation 04abfa9a-5ca5-449e-bfbd-8b43bd2a8b16 · outbound

This paper cites RaPiD: AI Accelerator for Ultra-low Precision Training and Inference,.

XR-NPE: High-Throughput Mixed-precision SIMD Neural Processing Engine for Extended Reality Perception Workloads RaPiD: AI Accelerator for Ultra-low Precision Training and Inference,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:20:30.209551Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T17:20:29.865389Z digest=sha256:f86a725dd8e66d4c7cb3e7698e61c550f4227097d40c1df93496a46405520a5f

Observation f7dad75c-1607-424c-9d69-1d0ad2063fd9 · outbound

This paper cites LPRE: Logarithmic Posit-enabled Reconfigurable edge-AI Engine,.

XR-NPE: High-Throughput Mixed-precision SIMD Neural Processing Engine for Extended Reality Perception Workloads LPRE: Logarithmic Posit-enabled Reconfigurable edge-AI Engine,

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:20:30.199098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T17:20:29.868648Z digest=sha256:710f1bb5d0da470de52044209bd794fd225f5cc0b6b7b7d07854f1c0f551e6f3

Observation 5507c716-6fb8-4e52-9863-77d65829815e · outbound

This paper cites Cheshire: A lightweight, linux-capable risc-v host platform for domain-specific accel- erator plug-in,.

XR-NPE: High-Throughput Mixed-precision SIMD Neural Processing Engine for Extended Reality Perception Workloads Cheshire: A lightweight, linux-capable risc-v host platform for domain-specific accel- erator plug-in,

Reference 18

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verified fuzzy
raw_fallback, observed 2026-08-15T17:20:30.187942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T17:20:29.871940Z digest=sha256:bd8155b24e9fe8f5923399f1b65631bd37634834281eaa89e4e72cab50f6b646

Observation a8c13087-050c-43a3-9037-fc66ffe4d3bb · outbound

This paper cites 8-bit transformer inference and fine-tuning for edge accelerators,.

XR-NPE: High-Throughput Mixed-precision SIMD Neural Processing Engine for Extended Reality Perception Workloads 8-bit transformer inference and fine-tuning for edge accelerators,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:20:30.175269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T17:20:29.876023Z digest=sha256:c44162d9fc77c41a2c0d0f50f5e5c859596d1420cecda205c977530d04f72450

Observation 00d1f751-e67a-41c7-8bb8-fa0494f7f882 · outbound

This paper cites Low-Precision Mixed-Computation Models for Infer- ence on Edge,.

XR-NPE: High-Throughput Mixed-precision SIMD Neural Processing Engine for Extended Reality Perception Workloads Low-Precision Mixed-Computation Models for Infer- ence on Edge,

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:20:30.159169Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T17:20:29.879335Z digest=sha256:db792d3bf48547a7a27a3b37ee8378a853580d12982e333ff267547f20e0c103

Observation be9f5fc2-6a7d-4ccd-ba67-a59fe4639c51 · outbound

This paper cites Hnpu: An adaptive dnn training processor utilizing stochastic dynamic fixed- point and active bit-precision searching,.

XR-NPE: High-Throughput Mixed-precision SIMD Neural Processing Engine for Extended Reality Perception Workloads Hnpu: An adaptive dnn training processor utilizing stochastic dynamic fixed- point and active bit-precision searching,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:20:30.149059Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T17:20:29.882824Z digest=sha256:d0ca659d17f397a56783ff01d5fdf768d39fdfd281fa7f9dfb330ed5c0f1f78c

Observation 4093d0fe-cc9f-4550-85dd-55e9c230dbf6 · outbound

This paper cites UL-VIO: Ultra-Lightweight Visual- Inertial Odometry with Noise Robust Test-Time Adaptation,.

XR-NPE: High-Throughput Mixed-precision SIMD Neural Processing Engine for Extended Reality Perception Workloads UL-VIO: Ultra-Lightweight Visual- Inertial Odometry with Noise Robust Test-Time Adaptation,

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:20:30.137897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T17:20:29.886487Z digest=sha256:81a65fe4a151b46774067a93fd96677420a081f6f4556e2698848766ce0a4476

Observation 961e2abc-3e73-4706-b391-8b3852501518 · outbound

This paper cites A Configurable Floating-Point Fused Multiply-Add Design with Mixed Precision for AI Accelerators,.

XR-NPE: High-Throughput Mixed-precision SIMD Neural Processing Engine for Extended Reality Perception Workloads A Configurable Floating-Point Fused Multiply-Add Design with Mixed Precision for AI Accelerators,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:20:30.127630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T17:20:29.889611Z digest=sha256:e4c9654af10d8c429e341973da4567309c2dd2ded92f85ce94db3acd1b7a774f

Observation deca5f3c-7b7a-4887-8c3c-3311506064a1 · outbound

This paper cites A 3-D Multi-Precision Scalable Systolic FMA Architecture,.

XR-NPE: High-Throughput Mixed-precision SIMD Neural Processing Engine for Extended Reality Perception Workloads A 3-D Multi-Precision Scalable Systolic FMA Architecture,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:20:30.117334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T17:20:29.893434Z digest=sha256:1a41450d135ce1e0e17e753baba6dc9af68ad9b9711d2d66d51b4c2bcfbbf8a9

Observation bae2a609-022e-4e6d-a06e-e5502040c091 · outbound

This paper cites A Low-Cost FP Dot-Product-Dual-Accumulate Architecture for HPC-Enabled AI,.

XR-NPE: High-Throughput Mixed-precision SIMD Neural Processing Engine for Extended Reality Perception Workloads A Low-Cost FP Dot-Product-Dual-Accumulate Architecture for HPC-Enabled AI,

Reference 25

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verified fuzzy
raw_fallback, observed 2026-08-15T17:20:30.106415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T17:20:29.896561Z digest=sha256:49608d724c55820973081c60f4a5683629f9384a2fdf34c75afd429fb1de3b64

Observation 56f7da03-0743-4658-8e24-3880f99f2744 · outbound

This paper cites Unified Posit/IEEE-754 Vector MAC Unit for Transprecision Computing,.

XR-NPE: High-Throughput Mixed-precision SIMD Neural Processing Engine for Extended Reality Perception Workloads Unified Posit/IEEE-754 Vector MAC Unit for Transprecision Computing,

Reference 26

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raw_fallback, observed 2026-08-15T17:20:30.094572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T17:20:29.899909Z digest=sha256:087aeb912000403b23ecd6fd78fe8e8f59524d3a946712608d260892b674ba96

Observation 4a9789bd-580a-4fc4-bca0-41ba609244ae · outbound

This paper cites Dedicated FPGA Implementation of the Gaussian TinyYOLOv3 Accelerator,.

XR-NPE: High-Throughput Mixed-precision SIMD Neural Processing Engine for Extended Reality Perception Workloads Dedicated FPGA Implementation of the Gaussian TinyYOLOv3 Accelerator,

Reference 27

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raw_fallback, observed 2026-08-15T17:20:30.081166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T17:20:29.903774Z digest=sha256:c6813920993da53e7fed95311c650c99e0be9d2889575f1138cfe937d06fe8a8

Observation 758f17b0-db55-4b06-b600-2667fe3f84b7 · outbound

This paper cites A Low-Latency FPGA Accelerator for YOLOv3- Tiny With Flexible Layerwise Mapping and Dataflow,.

XR-NPE: High-Throughput Mixed-precision SIMD Neural Processing Engine for Extended Reality Perception Workloads A Low-Latency FPGA Accelerator for YOLOv3- Tiny With Flexible Layerwise Mapping and Dataflow,

Reference 28

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verified fuzzy
raw_fallback, observed 2026-08-15T17:20:30.065479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T17:20:29.907766Z digest=sha256:e776b6326edf6b56873acd8e7f47bbd80c104de0a7d4fc2e24f5610927593cd3

Observation b188c4d8-da76-4d37-a4ac-73199b9baf9c · outbound

This paper cites Edge-Side Fine-Grained Sparse CNN Accelerator With Efficient Dynamic Pruning Scheme,.

XR-NPE: High-Throughput Mixed-precision SIMD Neural Processing Engine for Extended Reality Perception Workloads Edge-Side Fine-Grained Sparse CNN Accelerator With Efficient Dynamic Pruning Scheme,

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:20:30.054547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T17:20:29.911182Z digest=sha256:2c8dd5445244f68220c5f01b6b382dd32a23528a327a85e4df75f0925a3c392a

Observation b1dd1da2-5b17-4907-aba2-ca66d50e5bf7 · outbound

This paper cites Vision meets robotics: The kitti dataset,.

XR-NPE: High-Throughput Mixed-precision SIMD Neural Processing Engine for Extended Reality Perception Workloads Vision meets robotics: The kitti dataset,

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:20:30.035183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T17:20:29.914723Z digest=sha256:d648f28dd1912de55958dbd75acb076db2a8c34e482db6f7331669b0ecd42cd9

Observation 83bf1c96-412d-41fe-b991-cd1a7b27c0c3 · outbound

This paper cites A 29.12-TOPS/W Vector Systolic Accelerator With NAS-Optimized DNNs in 28-nm CMOS,.

XR-NPE: High-Throughput Mixed-precision SIMD Neural Processing Engine for Extended Reality Perception Workloads A 29.12-TOPS/W Vector Systolic Accelerator With NAS-Optimized DNNs in 28-nm CMOS,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:20:30.018170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T17:20:29.918733Z digest=sha256:19078f8b3bad3ed0f8b1bab3e4704ce235d5e26175903e53d6583a2f50b9cdfa

Observation 0b57d639-ca43-4072-8c5c-983b4e46d718 · outbound

This paper cites MSDF-Based MAC for Energy-Efficient Neural Networks,.

XR-NPE: High-Throughput Mixed-precision SIMD Neural Processing Engine for Extended Reality Perception Workloads MSDF-Based MAC for Energy-Efficient Neural Networks,

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:20:29.998709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T17:20:29.922265Z digest=sha256:00bce41b8c882bb963affd247cab164a061290f566f3d2f1de964ae9b3480b8a

Observation 079afbac-dbf2-4cca-9ec9-ab72c40629cd · outbound

This paper cites Marsellus: A Heterogeneous RISC-V AI-IoT End-Node SoC With 2–8 b DNN Acceleration and 30%- Boost Adaptive Body Biasing,.

XR-NPE: High-Throughput Mixed-precision SIMD Neural Processing Engine for Extended Reality Perception Workloads Marsellus: A Heterogeneous RISC-V AI-IoT End-Node SoC With 2–8 b DNN Acceleration and 30%- Boost Adaptive Body Biasing,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:20:29.988151Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T17:20:29.926516Z digest=sha256:63b85080b67cf66ccf9c5a91fd2fe2335dbaf87fd46dc38022ec7308d152fcf7

Observation fdf54fa3-f951-4014-bd4d-278694fe922c · outbound

This paper cites PL-NPU: An Energy-Efficient Edge-Device DNN Training Processor With Posit-Based Logarithm-Domain Comput- ing,.

XR-NPE: High-Throughput Mixed-precision SIMD Neural Processing Engine for Extended Reality Perception Workloads PL-NPU: An Energy-Efficient Edge-Device DNN Training Processor With Posit-Based Logarithm-Domain Comput- ing,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:20:29.977064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T17:20:29.929774Z digest=sha256:41c098cc5e39ca27b6db2f91ac63d94431a87b5b85e4cb37af5f9aa90d79f326

Observation 87bf66d6-060f-4a4f-8943-cd53a2d57fee · outbound

This paper cites A 28nm Energy-Area-Efficient Row-based pipelined Training Accelerator with Mixed FXP4/FP16 for On-Device Transfer Learning,.

XR-NPE: High-Throughput Mixed-precision SIMD Neural Processing Engine for Extended Reality Perception Workloads A 28nm Energy-Area-Efficient Row-based pipelined Training Accelerator with Mixed FXP4/FP16 for On-Device Transfer Learning,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:20:29.965925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T17:20:29.932890Z digest=sha256:7993abc0fa2130a5bb2453992c5f4dc528c68d0f563e0cf7b8e587f60e9fadd5

Pith citing papers

Observation 839f5ad1-41c2-42c9-8441-50e45cf69084 · inbound

Bhasha-Rupantarika: Algorithm-Hardware Co-design approach for Multilingual Neural Machine Translation cites this paper.

Bhasha-Rupantarika: Algorithm-Hardware Co-design approach for Multilingual Neural Machine Translation XR-NPE: High-Throughput Mixed-precision SIMD Neural Processing Engine for Extended Reality Perception Workloads

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-04T10:21:49.958716Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T10:21:49.958716Z digest=sha256:f0a309bca6c683bf67feea2898f198ba614187b73423bfb246c59bae2724ca9a