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Paper Citation Record · LEDGER

A Unified Optimization Approach for CNN Model Inference on Integrated GPUs

As of 5 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:1907.02154.

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

pith.paper-citation-record.v1
1907.02154 v1

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-25T09:24:39.491040Z

measured 40 of 40 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

40 of 40 outbound references displayed

  • verified exact8
  • verified fuzzy27
  • unresolved5
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 653bf144-bca2-42d8-9cba-b6dd40e78660 · outbound

This paper cites Aragón, and Antonio González.

A Unified Optimization Approach for CNN Model Inference on Integrated GPUs Aragón, and Antonio González

Reference 1

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Source-reported events for the cited work

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Observation a8065a63-527a-41b2-b99c-7a3386cd7e52 · outbound

This paper cites https://www.arm.com/why-arm/technologies/ compute-library.

A Unified Optimization Approach for CNN Model Inference on Integrated GPUs https://www.arm.com/why-arm/technologies/ compute-library

Reference 2

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 31d2b2a8-ce8e-4bbb-bae7-b9e65eb2ab2d · outbound

This paper cites Neurostream: Scalable and energy efficient deep learning with smart memory cubes.

A Unified Optimization Approach for CNN Model Inference on Integrated GPUs Neurostream: Scalable and energy efficient deep learning with smart memory cubes

Reference 3

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Observation fed782b7-8a08-4001-babf-664e2ce39cf8 · outbound

This paper cites Moderngpu: Patterns and behaviors for GPU computing.

A Unified Optimization Approach for CNN Model Inference on Integrated GPUs Moderngpu: Patterns and behaviors for GPU computing

Reference 4

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Observation 2b3f99e6-cdbc-4030-8957-1582c172a499 · outbound

This paper cites TVM: An automated end-to-end optimizing compiler for deep learning.

A Unified Optimization Approach for CNN Model Inference on Integrated GPUs TVM: An automated end-to-end optimizing compiler for deep learning

Reference 5

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Observation 72b83ebc-067c-47de-8ed2-3fb0587d287e · outbound

This paper cites Learning to optimize tensor programs.

A Unified Optimization Approach for CNN Model Inference on Integrated GPUs Learning to optimize tensor programs

Reference 6

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Observation 9e7f6c07-1b6f-4a1f-adfc-792257392a89 · outbound

This paper cites cuDNN: Efficient Primitives for Deep Learning.

A Unified Optimization Approach for CNN Model Inference on Integrated GPUs cuDNN: Efficient Primitives for Deep Learning

Reference 7

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local_arxiv, observed 2026-05-25T09:25:35.335731Z

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Observation 03813d74-b5d2-439d-a3b6-3ca8b07da6e4 · outbound

This paper cites https://01.org/cldnn.

A Unified Optimization Approach for CNN Model Inference on Integrated GPUs https://01.org/cldnn

Reference 8

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Observation 09d4a7dc-e09e-4348-ac6d-3131652f3e69 · outbound

This paper cites OpenVINO Toolkit Release Notes.

A Unified Optimization Approach for CNN Model Inference on Integrated GPUs OpenVINO Toolkit Release Notes

Reference 9

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Observation b3a6d95c-c2da-4bd3-9b99-9c686cfd80d7 · outbound

This paper cites An empirical study of the effect of source-level loop transformations on compiler stability.

A Unified Optimization Approach for CNN Model Inference on Integrated GPUs An empirical study of the effect of source-level loop transformations on compiler stability

Reference 10

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Observation 6e436176-877a-406a-994b-83c28c8af880 · outbound

This paper cites Energy efficient hpc on embedded socs: Optimization techniques for mali gpu.

A Unified Optimization Approach for CNN Model Inference on Integrated GPUs Energy efficient hpc on embedded socs: Optimization techniques for mali gpu

Reference 11

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Observation cd79b98f-4e7b-4fed-b272-1d760144aa1c · outbound

This paper cites Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding.

A Unified Optimization Approach for CNN Model Inference on Integrated GPUs Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding

Reference 12

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Observation 1c2b5d4e-9497-48c7-9570-362c6db3e474 · outbound

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A Unified Optimization Approach for CNN Model Inference on Integrated GPUs Unresolved cited work

Reference 13

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Observation 1c343885-5887-4db7-964d-e68ccfbc2cd6 · outbound

This paper cites Deep residual learning for image recognition.

A Unified Optimization Approach for CNN Model Inference on Integrated GPUs Deep residual learning for image recognition

Reference 14

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Observation 706d4158-ee15-4d89-8575-19472500eafa · outbound

This paper cites Daniel Hillis and Guy L.

A Unified Optimization Approach for CNN Model Inference on Integrated GPUs Daniel Hillis and Guy L

Reference 15

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 7059438b-d68d-49c3-8872-0cd8062c4202 · outbound

This paper cites Fast segmented sort on gpus.

A Unified Optimization Approach for CNN Model Inference on Integrated GPUs Fast segmented sort on gpus

Reference 16

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Observation aa4ba6c6-812f-4f0f-99ba-b0cbc165e273 · outbound

This paper cites MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications.

A Unified Optimization Approach for CNN Model Inference on Integrated GPUs MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications

Reference 17

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Observation 60ca2430-d304-4ccf-af94-62426d9df0de · outbound

This paper cites The OpenCL Specification (Version 2.0, Document Revision 26), October 2014.

A Unified Optimization Approach for CNN Model Inference on Integrated GPUs The OpenCL Specification (Version 2.0, Document Revision 26), October 2014

Reference 18

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation ead55159-2886-424f-8217-db61b70dc263 · outbound

This paper cites Deepmon: Mobile gpu- based deep learning framework for continuous vision applications.

A Unified Optimization Approach for CNN Model Inference on Integrated GPUs Deepmon: Mobile gpu- based deep learning framework for continuous vision applications

Reference 19

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 2fa8d79c-dec1-4dfc-812d-abbe31016af9 · outbound

This paper cites SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size.

A Unified Optimization Approach for CNN Model Inference on Integrated GPUs SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size

Reference 20

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Observation 2e711c58-8b15-4cd2-bbe4-552caa1a0591 · outbound

This paper cites A Performance Comparison of CUDA and OpenCL.

A Unified Optimization Approach for CNN Model Inference on Integrated GPUs A Performance Comparison of CUDA and OpenCL

Reference 21

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Observation 7d6f58be-1e00-4a56-848d-3d2b7414f9a9 · outbound

This paper cites Kayiran, N.

A Unified Optimization Approach for CNN Model Inference on Integrated GPUs Kayiran, N

Reference 22

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Observation 58fbfffd-b8b0-4732-9bb0-39ab499d5ad0 · outbound

This paper cites Deepx: A software accelerator for low-power deep learning inference on mobile devices.

A Unified Optimization Approach for CNN Model Inference on Integrated GPUs Deepx: A software accelerator for low-power deep learning inference on mobile devices

Reference 23

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Observation 9b2653c6-74d6-49e3-a32d-99854f39145a · outbound

This paper cites Ogleari, Dong Li, and Jishen Zhao.

A Unified Optimization Approach for CNN Model Inference on Integrated GPUs Ogleari, Dong Li, and Jishen Zhao

Reference 24

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Observation 212911ff-ca86-4377-b972-5c10c23a4b6e · outbound

This paper cites Ssd: Single shot multibox detector.

A Unified Optimization Approach for CNN Model Inference on Integrated GPUs Ssd: Single shot multibox detector

Reference 25

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Observation 6042d4a7-13c9-4273-9cae-d38baa745344 · outbound

This paper cites Optimizing CNN model inference on CPUs.

A Unified Optimization Approach for CNN Model Inference on Integrated GPUs Optimizing CNN model inference on CPUs

Reference 26

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Observation 5e5a1b7e-34fb-4590-9f63-ccaadbe27e22 · outbound

This paper cites Embedded Binarized Neural Networks.

A Unified Optimization Approach for CNN Model Inference on Integrated GPUs Embedded Binarized Neural Networks

Reference 27

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Observation 2f31730a-22da-4785-8e31-ae94f51c4afb · outbound

This paper cites Cub: Flexible library of cooperative threadblock primitives and other utilities for CUDA kernel programming.

A Unified Optimization Approach for CNN Model Inference on Integrated GPUs Cub: Flexible library of cooperative threadblock primitives and other utilities for CUDA kernel programming

Reference 28

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Observation 8bbfb7ff-0b21-43c9-b057-4422568cbd32 · outbound

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A Unified Optimization Approach for CNN Model Inference on Integrated GPUs NVIDIA CUDA C programming guide

Reference 29

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Observation b5249f79-23a7-45c8-a480-cfa65c889aba · outbound

This paper cites Owens, Mike Houston, David Luebke, Simon Green, John E.

A Unified Optimization Approach for CNN Model Inference on Integrated GPUs Owens, Mike Houston, David Luebke, Simon Green, John E

Reference 30

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Observation 3feff525-1091-4b85-a2b3-540650370fc8 · outbound

This paper cites an unresolved cited work.

A Unified Optimization Approach for CNN Model Inference on Integrated GPUs Unresolved cited work

Reference 31

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Observation 0f975543-534f-4bfb-998c-5ce9042c9a1b · outbound

This paper cites Programming heterogeneous systems from an image processing dsl.

A Unified Optimization Approach for CNN Model Inference on Integrated GPUs Programming heterogeneous systems from an image processing dsl

Reference 32

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 9e9b8e19-0fd7-46da-8464-09c8aa3a3d64 · outbound

This paper cites Halide: a language and compiler for optimizing parallelism, locality, and recomputation in image processing pipelines.

A Unified Optimization Approach for CNN Model Inference on Integrated GPUs Halide: a language and compiler for optimizing parallelism, locality, and recomputation in image processing pipelines

Reference 33

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raw_fallback, observed 2026-05-25T09:25:36.273657Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 2ac2df9a-90e3-4a11-87d9-e75860e95356 · outbound

This paper cites YOLOv3: An Incremental Improvement.

A Unified Optimization Approach for CNN Model Inference on Integrated GPUs YOLOv3: An Incremental Improvement

Reference 34

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local_arxiv, observed 2026-05-25T09:25:35.340044Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 4639f04a-b193-4bf0-bda8-5c8da74c19de · outbound

This paper cites an unresolved cited work.

A Unified Optimization Approach for CNN Model Inference on Integrated GPUs Unresolved cited work

Reference 35

Resolution
unresolved
raw_fallback, observed 2026-05-25T09:25:36.327951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation e02222e8-a03b-48da-90e5-bc797ca3d2c0 · outbound

This paper cites MnasNet: Platform-Aware Neural Architecture Search for Mobile.

A Unified Optimization Approach for CNN Model Inference on Integrated GPUs MnasNet: Platform-Aware Neural Architecture Search for Mobile

Reference 36

Resolution
verified exact
local_arxiv, observed 2026-05-25T09:25:35.344162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-25T09:24:39.491040Z digest=sha256:de3e34b15e498fa235a67e7ee7dfc53344c6b3b2a6bcd90d69b6ae2632234cc2

Observation d2adf43c-7df3-4a2b-a0e7-ab883743172e · outbound

This paper cites https://developer.nvidia.com/tensorrt.

A Unified Optimization Approach for CNN Model Inference on Integrated GPUs https://developer.nvidia.com/tensorrt

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T09:25:36.213411Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-25T09:24:39.491040Z digest=sha256:99465c05007a7ecf29488350cef3623ad1a393bf1df90cdb15394f059f590357

Observation bdac1b25-062f-4707-9353-27d56a92b0f3 · outbound

This paper cites an unresolved cited work.

A Unified Optimization Approach for CNN Model Inference on Integrated GPUs Unresolved cited work

Reference 38

Resolution
unresolved
raw_fallback, observed 2026-05-25T09:25:36.216851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-25T09:24:39.491040Z digest=sha256:b0d2a37e62f3cd08d9916b410a0e1f4d456677dc45a6c1e45324851f42edf93d

Observation 2863a692-f540-4f69-a6f8-b61889e6d08a · outbound

This paper cites an unresolved cited work.

A Unified Optimization Approach for CNN Model Inference on Integrated GPUs Unresolved cited work

Reference 39

Resolution
unresolved
raw_fallback, observed 2026-05-25T09:25:36.220624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-25T09:24:39.491040Z digest=sha256:20658dfb2cb4ff91fa8fea0bc281410466e809e886ad42526204b1c9fcceac84

Observation e8a5be17-bc72-4d92-bf69-2e612c7f6fbe · outbound

This paper cites Zhang, X.

A Unified Optimization Approach for CNN Model Inference on Integrated GPUs Zhang, X

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T09:25:36.224652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-25T09:24:39.491040Z digest=sha256:3351ae3a51f07467dd14bd29c9c804500a0c38639b9a1248d11769fff9831364

Pith citing papers

No inbound Pith citation observations are available.