Paper Citation Record · LEDGER

Exploiting Parallelism Opportunities with Deep Learning Frameworks

As of 17 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 0 inbound Pith citation observations for arXiv:1908.04705.

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

pith.paper-citation-record.v1
1908.04705 v2

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T13:38:24.245932Z

measured 38 of 38 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+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

38 of 38 outbound references displayed

verified exact2
verified fuzzy2
unresolved34
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5289fa53-33d5-4420-be63-b5d70bb06521 · outbound

This paper cites Folly: Facebook Open-source Library.

Exploiting Parallelism Opportunities with Deep Learning Frameworks Folly: Facebook Open-source Library

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:38:25.853414Z

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 393c4112-3c4c-4755-9747-d56603a56c3c · outbound

This paper cites an unresolved cited work.

Exploiting Parallelism Opportunities with Deep Learning Frameworks Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-14T13:38:25.840336Z

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 125ba112-29e7-4cfd-b518-17b5b161019c · outbound

This paper cites an unresolved cited work.

Exploiting Parallelism Opportunities with Deep Learning Frameworks Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-14T13:38:25.825509Z

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 782c48fa-fa8b-4d44-b0c7-7463394efdf0 · outbound

This paper cites an unresolved cited work.

Exploiting Parallelism Opportunities with Deep Learning Frameworks Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-14T13:38:25.762093Z

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 04bf2400-7a43-434c-9032-2349c824ad75 · outbound

This paper cites an unresolved cited work.

Exploiting Parallelism Opportunities with Deep Learning Frameworks Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-14T13:38:25.695360Z

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 0ee1ffb8-99ad-4ecb-8cf2-325c287530b1 · outbound

This paper cites an unresolved cited work.

Exploiting Parallelism Opportunities with Deep Learning Frameworks Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-08-14T13:38:25.678703Z

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 206637cd-37a1-4059-8da4-fd890ddda548 · outbound

This paper cites an unresolved cited work.

Exploiting Parallelism Opportunities with Deep Learning Frameworks Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-08-14T13:38:25.615892Z

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 e2a673ac-a36d-40d9-9033-21a531141c91 · outbound

This paper cites MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed Systems.

Exploiting Parallelism Opportunities with Deep Learning Frameworks MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed Systems

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-14T13:38:23.634334Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 060d891e-5a2e-4b71-816e-808a7f2e3deb · outbound

This paper cites an unresolved cited work.

Exploiting Parallelism Opportunities with Deep Learning Frameworks Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-08-14T13:38:25.506697Z

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 9a2fe06c-3dea-460c-a791-95a223c88a93 · outbound

This paper cites an unresolved cited work.

Exploiting Parallelism Opportunities with Deep Learning Frameworks Unresolved cited work

Reference 10

Resolution: unresolved; raw_fallback, observed 2026-08-14T13:38:25.473343Z

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 a3bac551-84ad-425c-9589-78fc4c93d4f7 · outbound

This paper cites an unresolved cited work.

Exploiting Parallelism Opportunities with Deep Learning Frameworks Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-08-14T13:38:25.415984Z

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 c461b84c-3aba-4507-b4af-0c47d24e10a9 · outbound

This paper cites an unresolved cited work.

Exploiting Parallelism Opportunities with Deep Learning Frameworks Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-08-14T13:38:25.354831Z

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 f77b0337-3fdb-4e4b-88c4-8be129cdc80c · outbound

This paper cites Bandana: Using Non-volatile Memory for Storing Deep Learning Models.

Exploiting Parallelism Opportunities with Deep Learning Frameworks Bandana: Using Non-volatile Memory for Storing Deep Learning Models

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-08-14T13:38:24.382009Z

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 0b9edf1d-5d8d-4da9-9ea5-832525f567de · outbound

This paper cites an unresolved cited work.

Exploiting Parallelism Opportunities with Deep Learning Frameworks Unresolved cited work

Reference 14

Resolution: unresolved; raw_fallback, observed 2026-08-14T13:38:25.216950Z

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 04f0e82b-7b15-4fee-b68f-b51ec9e01f02 · outbound

This paper cites The Architectural Implications of Facebook's DNN-based Personalized Recommendation.

Exploiting Parallelism Opportunities with Deep Learning Frameworks The Architectural Implications of Facebook's DNN-based Personalized Recommendation

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-14T13:38:23.830978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 855db89c-8333-432e-aff0-5f7d9d2f1369 · outbound

This paper cites Auto-tuning TensorFlow Threading Model for CPU Backend.

Exploiting Parallelism Opportunities with Deep Learning Frameworks Auto-tuning TensorFlow Threading Model for CPU Backend

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-08-14T13:38:24.338394Z

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 730038ac-a06f-4135-a2e6-41e67bcf4529 · outbound

This paper cites an unresolved cited work.

Exploiting Parallelism Opportunities with Deep Learning Frameworks Unresolved cited work

Reference 17

Resolution: unresolved; raw_fallback, observed 2026-08-14T13:38:25.143564Z

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 3188b15d-0e0b-4a9b-b7d2-195627fce6cd · outbound

This paper cites an unresolved cited work.

Exploiting Parallelism Opportunities with Deep Learning Frameworks Unresolved cited work

Reference 18

Resolution: unresolved; raw_fallback, observed 2026-08-14T13:38:25.128632Z

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 a8775df0-1fbc-4586-a41b-4228f10dca33 · outbound

This paper cites an unresolved cited work.

Exploiting Parallelism Opportunities with Deep Learning Frameworks Unresolved cited work

Reference 19

Resolution: unresolved; raw_fallback, observed 2026-08-14T13:38:25.081075Z

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 f0cd6c8d-5f24-46ea-a062-69eeab654624 · outbound

This paper cites an unresolved cited work.

Exploiting Parallelism Opportunities with Deep Learning Frameworks Unresolved cited work

Reference 20

Resolution: unresolved; raw_fallback, observed 2026-08-14T13:38:25.027451Z

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 1b7b0274-47b7-4ba9-bdde-ab60ea094168 · outbound

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

Exploiting Parallelism Opportunities with Deep Learning Frameworks SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-14T13:38:23.911687Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bf08a9af-0d12-4c70-9e0d-8f9faf80b2db · outbound

This paper cites an unresolved cited work.

Exploiting Parallelism Opportunities with Deep Learning Frameworks Unresolved cited work

Reference 22

Resolution: unresolved; raw_fallback, observed 2026-08-14T13:38:25.013659Z

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 a4db2047-a2a9-48df-8bd7-e22b5e18c437 · outbound

This paper cites an unresolved cited work.

Exploiting Parallelism Opportunities with Deep Learning Frameworks Unresolved cited work

Reference 23

Resolution: unresolved; raw_fallback, observed 2026-08-14T13:38:24.994074Z

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 8904694b-4441-401b-b3da-9c974c9ba07a · outbound

This paper cites an unresolved cited work.

Exploiting Parallelism Opportunities with Deep Learning Frameworks Unresolved cited work

Reference 24

Resolution: unresolved; raw_fallback, observed 2026-08-14T13:38:24.857258Z

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 b0672cfe-d874-425c-b98f-c4b337ffa402 · outbound

This paper cites an unresolved cited work.

Exploiting Parallelism Opportunities with Deep Learning Frameworks Unresolved cited work

Reference 25

Resolution: unresolved; raw_fallback, observed 2026-08-14T13:38:24.797619Z

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 d0503956-8908-4727-b92e-29730ae75825 · outbound

This paper cites an unresolved cited work.

Exploiting Parallelism Opportunities with Deep Learning Frameworks Unresolved cited work

Reference 26

Resolution: unresolved; raw_fallback, observed 2026-08-14T13:38:24.786078Z

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 1c93c7d9-9640-4f4b-b71e-eefcbf88d1c5 · outbound

This paper cites Mattson, V.

Exploiting Parallelism Opportunities with Deep Learning Frameworks Mattson, V

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:38:24.774476Z

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 f32ce5b4-b285-4b9f-8c21-d02713e94e70 · outbound

This paper cites Deep Learning Recommendation Model for Personalization and Recommendation Systems.

Exploiting Parallelism Opportunities with Deep Learning Frameworks Deep Learning Recommendation Model for Personalization and Recommendation Systems

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-14T13:38:23.950892Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6e14bd09-7ac0-463e-b7c0-1a34b73506b0 · outbound

This paper cites MLPerf Inference Benchmark.

Exploiting Parallelism Opportunities with Deep Learning Frameworks MLPerf Inference Benchmark

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-14T13:38:23.957438Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3bc23e44-eaca-4f59-b603-8adf1fb39370 · outbound

This paper cites an unresolved cited work.

Exploiting Parallelism Opportunities with Deep Learning Frameworks Unresolved cited work

Reference 30

Resolution: unresolved; raw_fallback, observed 2026-08-14T13:38:24.757610Z

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 7c3556cb-3a8e-4d87-b209-d3a91cc73ac4 · outbound

This paper cites an unresolved cited work.

Exploiting Parallelism Opportunities with Deep Learning Frameworks Unresolved cited work

Reference 31

Resolution: unresolved; raw_fallback, observed 2026-08-14T13:38:24.612774Z

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 60ada22e-6b10-45dc-9c5b-b8f528176672 · outbound

This paper cites an unresolved cited work.

Exploiting Parallelism Opportunities with Deep Learning Frameworks Unresolved cited work

Reference 32

Resolution: unresolved; raw_fallback, observed 2026-08-14T13:38:24.597763Z

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 31574aaf-0b10-4193-bffc-2543f4cb0dc7 · outbound

This paper cites an unresolved cited work.

Exploiting Parallelism Opportunities with Deep Learning Frameworks Unresolved cited work

Reference 33

Resolution: unresolved; raw_fallback, observed 2026-08-14T13:38:24.584681Z

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 f5bfeb88-0a8e-45e9-a884-28a600838318 · outbound

This paper cites Tensor Comprehensions: Framework-Agnostic High-Performance Machine Learning Abstractions.

Exploiting Parallelism Opportunities with Deep Learning Frameworks Tensor Comprehensions: Framework-Agnostic High-Performance Machine Learning Abstractions

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-14T13:38:24.210534Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d851cd52-9432-4690-9d18-788398930234 · outbound

This paper cites an unresolved cited work.

Exploiting Parallelism Opportunities with Deep Learning Frameworks Unresolved cited work

Reference 35

Resolution: unresolved; raw_fallback, observed 2026-08-14T13:38:24.570600Z

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 7f510488-8dc4-4f85-a387-bda51991013f · outbound

This paper cites an unresolved cited work.

Exploiting Parallelism Opportunities with Deep Learning Frameworks Unresolved cited work

Reference 36

Resolution: unresolved; raw_fallback, observed 2026-08-14T13:38:24.557798Z

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 e3a387b3-e0e9-4a2d-b2ee-fd3a38ef7919 · outbound

This paper cites an unresolved cited work.

Exploiting Parallelism Opportunities with Deep Learning Frameworks Unresolved cited work

Reference 37

Resolution: unresolved; raw_fallback, observed 2026-08-14T13:38:24.540776Z

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 1e26fb99-94ba-4e93-bbb8-f095b63baf42 · outbound

This paper cites an unresolved cited work.

Exploiting Parallelism Opportunities with Deep Learning Frameworks Unresolved cited work

Reference 38

Resolution: unresolved; raw_fallback, observed 2026-08-14T13:38:24.515070Z

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.