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Paper Citation Record · LEDGER

ExecuTorch -- A Unified PyTorch Solution to Run AI Models On-Device

As of 14 August 2026, this Paper Citation Record lists 68 of 68 outbound references and 4 inbound Pith citation observations for arXiv:2605.08195.

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

pith.paper-citation-record.v1
2605.08195 v1

Coverage vector

measured 68 of 68 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-12T01:30:10.125828Z

measured 72 of 72 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:13:48.317766Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T06:06:50.517566Z

Reference resolution

68 of 68 outbound references displayed

  • verified exact5
  • verified fuzzy46
  • unresolved12
  • parse uncertain2
  • malformed identifier0
  • metadata mismatch3

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 23b393e6-fb6b-47b2-ac1a-13576d9679ca · outbound

This paper cites Langley , title =.

ExecuTorch -- A Unified PyTorch Solution to Run AI Models On-Device Langley , title =

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T06:54:04.195689Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-12T01:30:10.125828Z digest=sha256:59fe3016a0bd3f4e0c38522d9d3c8bc6af0cd9683a06fda52bdb1c2123316e17

Observation 21535c7c-1cb4-416a-8197-1b29de0fd5e0 · outbound

This paper cites an unresolved cited work.

ExecuTorch -- A Unified PyTorch Solution to Run AI Models On-Device Unresolved cited work

Reference 2

Resolution
unresolved
raw_fallback, observed 2026-05-14T06:54:03.993286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-12T01:30:10.125828Z digest=sha256:5c8bf64d690ef8fa7b57fb4470bc8456a9fbda8abe18fd59a6614fd1b5058863

Observation 7bbb127f-1f05-43ca-a64f-48c8edade3ad · outbound

This paper cites an unresolved cited work.

ExecuTorch -- A Unified PyTorch Solution to Run AI Models On-Device Unresolved cited work

Reference 3

Resolution
parse uncertain
raw_fallback, observed 2026-05-14T06:54:03.987722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-12T01:30:10.125828Z digest=sha256:4c9ee12c59c11c4ca557c9c2aadce0d486c59c00473f2e25fcc66ca8efa10901

Observation 05b73282-6d81-42d1-915b-930d7b58b281 · outbound

This paper cites an unresolved cited work.

ExecuTorch -- A Unified PyTorch Solution to Run AI Models On-Device Unresolved cited work

Reference 4

Resolution
unresolved
raw_fallback, observed 2026-05-14T06:54:04.186971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-12T01:30:10.125828Z digest=sha256:61931e42cfc3ce400331ec3a944d14d321d992ec05c65598ca16f6c49d22b455

Observation 55499209-5112-436b-ad7d-fe8a298893b1 · outbound

This paper cites an unresolved cited work.

ExecuTorch -- A Unified PyTorch Solution to Run AI Models On-Device Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-05-14T06:54:03.943101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-12T01:30:10.125828Z digest=sha256:a2aaafb863f7a2bfe9a7e6aafd42bd7b295d1de04e065b3c69e82df72770e7e0

Observation 86c2f7d8-be8e-4ecd-a4c0-66def58726d9 · outbound

This paper cites an unresolved cited work.

ExecuTorch -- A Unified PyTorch Solution to Run AI Models On-Device Unresolved cited work

Reference 6

Resolution
unresolved
raw_fallback, observed 2026-05-14T06:54:03.949127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-12T01:30:10.125828Z digest=sha256:7c15cd2e5e0cac8da26a927a0a656b93b86423d2d312773a006776a070ddce58

Observation 3b7bc1d6-1538-4012-9908-1978b171451c · outbound

This paper cites Newell and P.

ExecuTorch -- A Unified PyTorch Solution to Run AI Models On-Device Newell and P

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T06:54:04.178916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-12T01:30:10.125828Z digest=sha256:b455cb7ed12caeea17368d4106d3f4a3bf4b029f9bb3624280a30eb4a211d721

Observation f6dbeb51-0ef6-47ab-8bc9-a73c8498234e · outbound

This paper cites an unresolved cited work.

ExecuTorch -- A Unified PyTorch Solution to Run AI Models On-Device Unresolved cited work

Reference 8

Resolution
unresolved
raw_fallback, observed 2026-05-14T06:54:04.183060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-12T01:30:10.125828Z digest=sha256:528f0ee1b1cca109f97a511742025cf37a8b97629b76653b99e12454a0437aac

Observation 5f1cf28b-6764-4850-8288-52362840795c · outbound

This paper cites PyTorch 2: Faster Machine Learning Through Dynamic Python Bytecode Transforma- tion and Graph Compilation.

ExecuTorch -- A Unified PyTorch Solution to Run AI Models On-Device PyTorch 2: Faster Machine Learning Through Dynamic Python Bytecode Transforma- tion and Graph Compilation

Reference 9

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T01:31:13.912620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-12T01:30:10.125828Z digest=sha256:f7a5a83e4424dfea05bbe57d5d2853619eeca3ad74c16542df99ebde145adf9a

Observation 1965e506-6e9e-4cd0-bcf2-336cd0f6634e · outbound

This paper cites Torch.fx: Practical Program Capture and Transformation for Deep Learning in Python.

ExecuTorch -- A Unified PyTorch Solution to Run AI Models On-Device Torch.fx: Practical Program Capture and Transformation for Deep Learning in Python

Reference 10

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T07:56:27.728026Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-12T01:30:10.125828Z digest=sha256:9aa044039dfee1d829c2e086f37dc62b8f4d3e4d3d13d153eaee74344013f57d

Observation b4919fdf-ccc9-4e45-9188-0c70e955a60d · outbound

This paper cites 2022 , url =.

ExecuTorch -- A Unified PyTorch Solution to Run AI Models On-Device 2022 , url =

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T06:54:04.191235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-12T01:30:10.125828Z digest=sha256:cdca5cfeccf1dd49852d94888e85830156cc17beb9e0933137c9947fbd883652

Observation 5a9b1a25-b413-4978-8449-5d879649e322 · outbound

This paper cites 2022 , url =.

ExecuTorch -- A Unified PyTorch Solution to Run AI Models On-Device 2022 , url =

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T06:54:04.204392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-12T01:30:10.125828Z digest=sha256:d9c3134e90020ce9d5121ce9520296daf3ba23ab29753099659074812dcd174c

Observation 53e64c25-6ba3-43f9-a5c9-cee6d51ccfd7 · outbound

This paper cites 2025 , url =.

ExecuTorch -- A Unified PyTorch Solution to Run AI Models On-Device 2025 , url =

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T06:54:04.162246Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-12T01:30:10.125828Z digest=sha256:43a5d0adef6d6ad615fa9486fbf630232426c2f821a6661939b145d04c8a3413

Observation 37f3c9e9-0333-4b11-bb0f-776b39d76eca · outbound

This paper cites 2025 , url =.

ExecuTorch -- A Unified PyTorch Solution to Run AI Models On-Device 2025 , url =

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T06:54:04.165937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-12T01:30:10.125828Z digest=sha256:24161b7e7a504d11667066b8aa6855ea2a5987d3361e8e19423feef43019c6ff

Observation 9529ea5c-14fb-46ea-a9f2-e5168f904ed4 · outbound

This paper cites 2025 , url =.

ExecuTorch -- A Unified PyTorch Solution to Run AI Models On-Device 2025 , url =

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T06:54:03.964777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-12T01:30:10.125828Z digest=sha256:3ca438252ccd665e999d608e90434636a5b6e1460dbfc79015e0ee6c0ed709c5

Observation e2ef6d92-e0d3-4422-9c09-56bd9715ff66 · outbound

This paper cites 2021 , url =.

ExecuTorch -- A Unified PyTorch Solution to Run AI Models On-Device 2021 , url =

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T06:54:04.225286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-12T01:30:10.125828Z digest=sha256:04d5b8cb79a3e23be8a7d73e5abada241ce5a038278a7bfa549c3f06cbebd1c4

Observation 48dab089-3209-433f-85e7-ed0a4fad76a3 · outbound

This paper cites GitHub repository , howpublished =.

ExecuTorch -- A Unified PyTorch Solution to Run AI Models On-Device GitHub repository , howpublished =

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T06:54:04.154768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-12T01:30:10.125828Z digest=sha256:764900527c97959167080373158dde1635a42a91c917b7c08d032fb4651058d6

Observation fec115ed-fc63-4438-928d-829f6558e815 · outbound

This paper cites an unresolved cited work.

ExecuTorch -- A Unified PyTorch Solution to Run AI Models On-Device Unresolved cited work

Reference 18

Resolution
unresolved
raw_fallback, observed 2026-05-14T06:54:04.059421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-12T01:30:10.125828Z digest=sha256:640ba1c48d2efa3b3bd4bea4af6855407090660cde6b04285c6b9dffcd4c10ff

Observation 770e7d53-d144-4136-a035-bc4f05d4522e · outbound

This paper cites 2024 , url =.

ExecuTorch -- A Unified PyTorch Solution to Run AI Models On-Device 2024 , url =

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T06:54:04.025848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-12T01:30:10.125828Z digest=sha256:5ed846b06c715380baa25dcbca835cff3db63558966afbf3682cfb2d5d20c1d2

Observation 35fd400f-ebd1-4d3f-8a7d-fe6fa75f18ef · outbound

This paper cites an unresolved cited work.

ExecuTorch -- A Unified PyTorch Solution to Run AI Models On-Device Unresolved cited work

Reference 20

Resolution
unresolved
raw_fallback, observed 2026-05-14T06:54:04.150610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-12T01:30:10.125828Z digest=sha256:152fa95ebfc91badb5546f164bc33745dfa1efd69b88ac6b3632856c5a1be101

Observation cd96a5f0-a584-41e3-90b8-51ebfa654285 · outbound

This paper cites 2023 , eprint=.

ExecuTorch -- A Unified PyTorch Solution to Run AI Models On-Device 2023 , eprint=

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T06:54:04.158575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-12T01:30:10.125828Z digest=sha256:a6ccbbb8f1c760a13361fe6ae04c3124dfc740de5c52788954a781144dcab16c

Observation 8cca1c91-cdf3-457e-954f-e32fea655eaf · outbound

This paper cites 2025 , eprint=.

ExecuTorch -- A Unified PyTorch Solution to Run AI Models On-Device 2025 , eprint=

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T06:54:03.970342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-12T01:30:10.125828Z digest=sha256:a8a9e19a7c3460cc58c4512f914d649dd7aa5bccda4a307bb5d8977e789c4ec3

Observation 2ccefd50-b0fa-4b78-8bfb-825c689fad18 · outbound

This paper cites 2025 , eprint=.

ExecuTorch -- A Unified PyTorch Solution to Run AI Models On-Device 2025 , eprint=

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T06:54:04.119973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-12T01:30:10.125828Z digest=sha256:2bf61d20ca32179f5e02c89e1b5edb025e482403d06a7f1824f4805e1136edc5

Observation 9e12a177-4b83-4b80-a910-28aad9f2de38 · outbound

This paper cites 2024 , eprint=.

ExecuTorch -- A Unified PyTorch Solution to Run AI Models On-Device 2024 , eprint=

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T06:54:04.069974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-12T01:30:10.125828Z digest=sha256:85655faf5735b1808e646bed856d947ef1bd717ea710929b2da33844a83bb805

Observation 582498de-756b-4b15-8903-b4e2c5812c39 · outbound

This paper cites 2021 , eprint=.

ExecuTorch -- A Unified PyTorch Solution to Run AI Models On-Device 2021 , eprint=

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T06:54:04.142074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-12T01:30:10.125828Z digest=sha256:363108fed5f5d3f2567eb7068c9c7354e73c0ca856153de02774cc04f11b36ce

Observation 67f555a0-3695-4ede-acd6-13e1264bef26 · outbound

This paper cites 2016 , eprint=.

ExecuTorch -- A Unified PyTorch Solution to Run AI Models On-Device 2016 , eprint=

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T06:54:04.213169Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-12T01:30:10.125828Z digest=sha256:313c824fc6c077eb359d7770cb29b48cd919462c40352c76582043ebfd25049e

Observation 60824956-457c-4055-aa15-d92f3cf9052f · outbound

This paper cites 2019 , eprint=.

ExecuTorch -- A Unified PyTorch Solution to Run AI Models On-Device 2019 , eprint=

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T06:54:04.094858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-12T01:30:10.125828Z digest=sha256:38379b1eb246d70ba1539f930ab01f1ce8b8f00b902e31521af13027e246d8ad

Observation 8a323ffa-b793-464b-9feb-008fa9cb1e2a · outbound

This paper cites 2014 , eprint=.

ExecuTorch -- A Unified PyTorch Solution to Run AI Models On-Device 2014 , eprint=

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T06:54:04.054630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-12T01:30:10.125828Z digest=sha256:5c9fbe397a3f5a247c3eb8f4e6a2de910d5a0a5ace4eee1c9404ac751896374e

Observation 0c6956e0-c023-46ee-9841-ed1d36a3534d · outbound

This paper cites 2025 , eprint=.

ExecuTorch -- A Unified PyTorch Solution to Run AI Models On-Device 2025 , eprint=

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T06:54:04.036394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-12T01:30:10.125828Z digest=sha256:c6473fe73080cb9bec2b3a3b1934c67ad8c975742aa66b0b91b197338de11e06

Observation 9d5b25e3-479a-4e4c-9f54-05b2afd33309 · outbound

This paper cites 2025 , eprint=.

ExecuTorch -- A Unified PyTorch Solution to Run AI Models On-Device 2025 , eprint=

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T06:54:04.043051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-12T01:30:10.125828Z digest=sha256:19532205745f5b1775dd9834e042dd386cac285d4d8eaba120d5abba0828c961

Observation a3865ac3-dd14-4640-8403-30cc68bc1aee · outbound

This paper cites Early vs Late Fusion in Multimodal Convolutional Neural Networks , year=.

ExecuTorch -- A Unified PyTorch Solution to Run AI Models On-Device Early vs Late Fusion in Multimodal Convolutional Neural Networks , year=

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T06:54:04.010697Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-12T01:30:10.125828Z digest=sha256:0b3a977da2fba8239bab1e30e4bf510dc25b6c312de4405711d738b9441fe171

Observation 88a38259-ca3d-42b9-8931-be1f0aac6999 · outbound

This paper cites 2019 IEEE international symposium on high performance computer architecture (HPCA) , pages=.

ExecuTorch -- A Unified PyTorch Solution to Run AI Models On-Device 2019 IEEE international symposium on high performance computer architecture (HPCA) , pages=

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T06:54:04.015159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-12T01:30:10.125828Z digest=sha256:cb4d881f7e0ccdae8a9b018b45e09d0251c2ce47aaffb34fca9fec9317d57769

Observation 872910c8-914d-491d-b287-72a54545c0c4 · outbound

This paper cites 2023 , eprint=.

ExecuTorch -- A Unified PyTorch Solution to Run AI Models On-Device 2023 , eprint=

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T06:54:04.031281Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-12T01:30:10.125828Z digest=sha256:7d82ea4f4578485887a0b55b6a761f0d8a17ad69675b6890f34df770e3f21e52

Observation b904033b-ff5f-4163-a1b7-b4cff3c00c90 · outbound

This paper cites an unresolved cited work.

ExecuTorch -- A Unified PyTorch Solution to Run AI Models On-Device Unresolved cited work

Reference 34

Resolution
unresolved
raw_fallback, observed 2026-05-14T06:54:04.004006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-12T01:30:10.125828Z digest=sha256:1884002573a4366833c1551ad503d6e19d574713456c409fe68d418e32c8e2f9

Observation c40f67a0-d23d-4821-982e-644e48e7b091 · outbound

This paper cites 2019 , note =.

ExecuTorch -- A Unified PyTorch Solution to Run AI Models On-Device 2019 , note =

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T06:54:04.019989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-12T01:30:10.125828Z digest=sha256:ef56902a5a5c22b14e02bc1776d868cc5739dc588738622714a87891d9bb385b

Observation 89203c0b-c70f-4b63-83ac-cffa797347cb · outbound

This paper cites 2024 , note =.

ExecuTorch -- A Unified PyTorch Solution to Run AI Models On-Device 2024 , note =

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T06:54:04.049737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-12T01:30:10.125828Z digest=sha256:5ee12be0b88ab638eaabdb9c860e237681129ddd56c974fb2bad13211fc16857

Observation 20dad562-741c-4d01-8659-c33520052603 · outbound

This paper cites 2023 , note =.

ExecuTorch -- A Unified PyTorch Solution to Run AI Models On-Device 2023 , note =

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T06:54:04.221054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-12T01:30:10.125828Z digest=sha256:22922da246a88451a973816a5310ec22662a474eb01588f83d0de70a6f2d9aac

Observation 051aed50-a37b-4170-9445-f55bede8fb66 · outbound

This paper cites 2023 , note =.

ExecuTorch -- A Unified PyTorch Solution to Run AI Models On-Device 2023 , note =

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T06:54:03.960509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-12T01:30:10.125828Z digest=sha256:a74b55c3eb98e126620e5610bee5999af857d9b1be5dec62abf67fc697d9998e

Observation 141dd485-8632-47cc-9d11-ce98057af6e5 · outbound

This paper cites 2024 , note =.

ExecuTorch -- A Unified PyTorch Solution to Run AI Models On-Device 2024 , note =

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T06:54:03.997556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-12T01:30:10.125828Z digest=sha256:1a9d96b0bb70993e476aa8a2c0bff79bbc24fa91a5126ddfec6d6a47100b0571

Observation 843bce90-5987-4773-9973-b256ab5781b8 · outbound

This paper cites 2023 , url =.

ExecuTorch -- A Unified PyTorch Solution to Run AI Models On-Device 2023 , url =

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T06:54:03.975952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-12T01:30:10.125828Z digest=sha256:24d2368568cdd25f97a018eab7c753128049131d5ffe78f35332a8c42e9ccc68

Observation 01aee95a-5f53-4750-b63c-0706b5d2da71 · outbound

This paper cites 2024 , note =.

ExecuTorch -- A Unified PyTorch Solution to Run AI Models On-Device 2024 , note =

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T06:54:03.954217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-12T01:30:10.125828Z digest=sha256:5e749fb74e57142c7836ead593de83ca7c347b7632f1a2dce9a945b0c57ee05e

Observation fcb50431-eddd-4d9e-9ced-f0d1bf218451 · outbound

This paper cites 2025 , eprint =.

ExecuTorch -- A Unified PyTorch Solution to Run AI Models On-Device 2025 , eprint =

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T06:54:03.981071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-12T01:30:10.125828Z digest=sha256:7805c268075a07757f3e421d26107c952b66bcc694ed3fc82eaa392b5b103b3e

Observation c89fc16b-fe60-4f2a-8757-59ee5c71fb9e · outbound

This paper cites Mathematics , volume =.

ExecuTorch -- A Unified PyTorch Solution to Run AI Models On-Device Mathematics , volume =

Reference 43

Resolution
verified exact
doi, observed 2026-05-12T01:31:13.919593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-12T01:30:10.125828Z digest=sha256:59a7f5d63295e4086d2308ad834d86a7f695ff05879cdfda5c2a0f8cbfba3e67

Observation a08e7d96-9099-4aaa-8d0d-43ae7a8b1e6f · outbound

This paper cites and Helzer, Jarrod and Pfeffer, Michael A.

ExecuTorch -- A Unified PyTorch Solution to Run AI Models On-Device and Helzer, Jarrod and Pfeffer, Michael A

Reference 44

Resolution
verified exact
doi, observed 2026-05-12T01:31:13.900847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-12T01:30:10.125828Z digest=sha256:a554f9b57fb79dcef89b46159902f8d740cd4a934c89cbab19a0c3ccb1cc3de7

Observation 695b3b07-59a7-472d-b060-a4ade1d5f4cb · outbound

This paper cites title =.

ExecuTorch -- A Unified PyTorch Solution to Run AI Models On-Device title =

Reference 45

Resolution
verified exact
doi, observed 2026-05-12T01:31:13.906842Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-12T01:30:10.125828Z digest=sha256:cca91e90980cbcc80fd902268ee979e2d8ddd0e296c05796ae0efdefc7bfdd46

Observation c721efb7-d935-45fa-b0c0-24bdeb791486 · outbound

This paper cites andW ang, F .(2021) Federated learning for healthcare informatics.Journal of Healthcare Informatics Research5(1): 1–19.

ExecuTorch -- A Unified PyTorch Solution to Run AI Models On-Device andW ang, F .(2021) Federated learning for healthcare informatics.Journal of Healthcare Informatics Research5(1): 1–19

Reference 46

Resolution
metadata mismatch
doi, observed 2026-05-12T01:31:13.903814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-12T01:30:10.125828Z digest=sha256:d2c08cd721700c4b8564f8c0b13a58f645389f0ad983a873b50151647bd9df45

Observation 514335d8-981b-42da-8fe3-e4287ec7f6bc · outbound

This paper cites and Ernst, R.

ExecuTorch -- A Unified PyTorch Solution to Run AI Models On-Device and Ernst, R

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T06:54:04.106863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-12T01:30:10.125828Z digest=sha256:48629d8547f2e6b7fd4973ca1cc15013efc2615446315d79789c1859111af764

Observation cb9e6e7d-7383-4dfb-9d12-b270e7876326 · outbound

This paper cites and Wang, Lin , title =.

ExecuTorch -- A Unified PyTorch Solution to Run AI Models On-Device and Wang, Lin , title =

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T06:54:04.115419Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-12T01:30:10.125828Z digest=sha256:f2725cdc4cc378a478c08ff876a4a938bfaf9266fd130fe5e8e853f5151b468c

Observation 534b92bf-db94-4352-af14-1b23c8c4d10b · outbound

This paper cites 2024 IEEE 30th Real-Time and Embedded Technology and Applications Symposium (RTAS) , year =.

ExecuTorch -- A Unified PyTorch Solution to Run AI Models On-Device 2024 IEEE 30th Real-Time and Embedded Technology and Applications Symposium (RTAS) , year =

Reference 49

Resolution
verified exact
arxiv_id, observed 2026-05-12T01:31:13.897887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-12T01:30:10.125828Z digest=sha256:5d2ccbca40e9b985455900038307edc02c547630db0401108670b79a8e011f99

Observation 483cb857-7d77-47fd-8ca5-f7e8b19fe349 · outbound

This paper cites Utilization of.

ExecuTorch -- A Unified PyTorch Solution to Run AI Models On-Device Utilization of

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T06:54:04.146284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-12T01:30:10.125828Z digest=sha256:272a86a435ce6b47d42211288ce00abac9d23043a93fb91e7358473fce11a8fb

Observation d542bd98-6e81-4917-8cbb-4c08583dd566 · outbound

This paper cites Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) , month =.

ExecuTorch -- A Unified PyTorch Solution to Run AI Models On-Device Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) , month =

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T06:54:04.169953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-12T01:30:10.125828Z digest=sha256:ea6973822f81df4cfa5b92811a4ced42a0f680e3c9fee7146ca79720def58937

Observation ff42bc4a-ed0f-4da1-937a-30f47b56caed · outbound

This paper cites Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , month =.

ExecuTorch -- A Unified PyTorch Solution to Run AI Models On-Device Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , month =

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T06:54:04.208917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-12T01:30:10.125828Z digest=sha256:4c2926c43e4bc591789fde54e81f4466cf2841bd501e90d8d8d8b7b442415b84

Observation f4b1723f-22c4-4674-aaf7-49ee2e283516 · outbound

This paper cites an unresolved cited work.

ExecuTorch -- A Unified PyTorch Solution to Run AI Models On-Device Unresolved cited work

Reference 53

Resolution
verified exact
doi, observed 2026-05-12T01:31:13.916171Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-12T01:30:10.125828Z digest=sha256:f5b4c78108f40a3361d6a0d9ac0756a3101832b389326fc33f960720763466ad

Observation 92ecbf25-ee66-4e7a-ac53-ac44c34d018c · outbound

This paper cites Proceedings of Machine Learning and Systems , volume =.

ExecuTorch -- A Unified PyTorch Solution to Run AI Models On-Device Proceedings of Machine Learning and Systems , volume =

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T06:54:04.200351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-12T01:30:10.125828Z digest=sha256:3d7353aa2b9f6fa6a7b2eeb0bf0abb35e4b77d64b7bab8eeeb70f17600eae642

Observation d36fe60b-ceb1-47d4-92b1-025ca3d5a528 · outbound

This paper cites an unresolved cited work.

ExecuTorch -- A Unified PyTorch Solution to Run AI Models On-Device Unresolved cited work

Reference 55

Resolution
parse uncertain
raw_fallback, observed 2026-05-14T06:54:04.124394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-12T01:30:10.125828Z digest=sha256:a965897e459744c576f96025e46780c671684e36f53dc1ef8773a6d45df90b88

Observation 20275dbd-33c3-481e-83ae-5f754e5253a5 · outbound

This paper cites an unresolved cited work.

ExecuTorch -- A Unified PyTorch Solution to Run AI Models On-Device Unresolved cited work

Reference 56

Resolution
unresolved
raw_fallback, observed 2026-05-14T06:54:04.128614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-12T01:30:10.125828Z digest=sha256:dbbe699d2fe044cda3fb516edd555448b44d92197ae14cb311c0439a0db0aa95

Observation 4db3968f-0d55-489c-b39c-86c8b855150c · outbound

This paper cites 13th USENIX Symposium on Operating Systems Design and Implementation (OSDI 18) , year =.

ExecuTorch -- A Unified PyTorch Solution to Run AI Models On-Device 13th USENIX Symposium on Operating Systems Design and Implementation (OSDI 18) , year =

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T06:54:04.133509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-12T01:30:10.125828Z digest=sha256:1e43e5c3b1fa7411666da649181f99cd311d229cf6fe52af4ad458c75652d7ab

Observation 50e727c3-d128-4125-bcb4-d510ecae2325 · outbound

This paper cites Proceedings of Machine Learning and Systems , year =.

ExecuTorch -- A Unified PyTorch Solution to Run AI Models On-Device Proceedings of Machine Learning and Systems , year =

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T06:54:04.137876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-12T01:30:10.125828Z digest=sha256:ed98e0ebd488df841c77aff47d83e7576b3eea1f9104ee4ae8cf154570b3c7b2

Observation 9c4d483b-acc7-4f22-bb39-98c66f511a4d · outbound

This paper cites 2023 , month = mar, publisher =.

ExecuTorch -- A Unified PyTorch Solution to Run AI Models On-Device 2023 , month = mar, publisher =

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T06:54:04.174238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-12T01:30:10.125828Z digest=sha256:ad8c045fa7e6d74dfca4903a79d27864110a44036d862a6e2fcc2c5e2042fe7f

Observation 066e7022-28fe-4395-9cff-2ee8522c174a · outbound

This paper cites 2025 , date =.

ExecuTorch -- A Unified PyTorch Solution to Run AI Models On-Device 2025 , date =

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T06:54:04.217193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-12T01:30:10.125828Z digest=sha256:30457d72a427b2010f5c5b577e7fb4ce17c680657cff73ebbb2a4a1c9f17ee11

Observation 7775515c-1dab-4390-be74-19face57eb1d · outbound

This paper cites an unresolved cited work.

ExecuTorch -- A Unified PyTorch Solution to Run AI Models On-Device Unresolved cited work

Reference 61

Resolution
unresolved
raw_fallback, observed 2026-05-14T06:54:04.102783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-12T01:30:10.125828Z digest=sha256:3637a4929d9ec337e6abf866e83a7bdea50906b00eebb4db1e7f5ed9ab0e8c86

Observation d8327fdf-7d3c-43d1-a1d9-86e517c47e38 · outbound

This paper cites 2024 , month = oct, day =.

ExecuTorch -- A Unified PyTorch Solution to Run AI Models On-Device 2024 , month = oct, day =

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T06:54:04.111296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-12T01:30:10.125828Z digest=sha256:5da34843876e09415e3ca6473cb857122820fb42b583d50236746f1953540cc0

Observation 0b813553-01cc-4cd2-b5a2-87f05f8ab974 · outbound

This paper cites an unresolved cited work.

ExecuTorch -- A Unified PyTorch Solution to Run AI Models On-Device Unresolved cited work

Reference 63

Resolution
unresolved
raw_fallback, observed 2026-05-14T06:54:04.090469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-12T01:30:10.125828Z digest=sha256:cbe953c981aecd3b6575456ff85c28ffcd08a5b8924b82c99eb8ad9169b57a41

Observation 67735eb3-3b73-4cbc-a2fb-0a600dbc728e · outbound

This paper cites 2024 , eprint=.

ExecuTorch -- A Unified PyTorch Solution to Run AI Models On-Device 2024 , eprint=

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T06:54:04.076603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-12T01:30:10.125828Z digest=sha256:08be7427a593bdb5199e7afda86b868cb4d4a6d3017b15beeb86a4f9ab906703

Observation ba3263a4-0589-4cfc-9e09-f452790dc5cf · outbound

This paper cites 2023 , eprint=.

ExecuTorch -- A Unified PyTorch Solution to Run AI Models On-Device 2023 , eprint=

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T06:54:04.081577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-12T01:30:10.125828Z digest=sha256:8f1fb8f1ae642d3c54880798cee9461986a9b64e9a22ba33ae0219dc3ffff7e3

Observation 7d7f90a8-adc5-4348-80b4-f85dc1778e5d · outbound

This paper cites 2024 , url =.

ExecuTorch -- A Unified PyTorch Solution to Run AI Models On-Device 2024 , url =

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T06:54:04.085798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-12T01:30:10.125828Z digest=sha256:7ce6082c6b101a8e107c28b240285d576989bf0bb9f43a4f937bf726a8714226

Observation df8fcf85-0f74-44ca-b72b-6be619e29cf9 · outbound

This paper cites an unresolved cited work.

ExecuTorch -- A Unified PyTorch Solution to Run AI Models On-Device Unresolved cited work

Reference 67

Resolution
unresolved
raw_fallback, observed 2026-05-14T06:54:04.098799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-12T01:30:10.125828Z digest=sha256:4e7c4f9901130244575a0c2aec308d489da1e0268b2e60ff4492021cdd2ebb45

Observation ea92c6a8-835e-48c7-8fa5-fb649e479b66 · outbound

This paper cites Championing Open-source Development in ML Workshop @ ICML25 , year=.

ExecuTorch -- A Unified PyTorch Solution to Run AI Models On-Device Championing Open-source Development in ML Workshop @ ICML25 , year=

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T06:54:04.063793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-12T01:30:10.125828Z digest=sha256:524f519672fedac35e6558824cd3b3278e6c8cf883cdc8d2f6a74094b7eff31d

Pith citing papers

Observation 73957d51-7acf-413f-8df0-521073d1f957 · inbound

A Quantized Native Runtime for On-Device Semantic Audio Generation cites this paper.

A Quantized Native Runtime for On-Device Semantic Audio Generation ExecuTorch -- A Unified PyTorch Solution to Run AI Models On-Device

Reference 18

Resolution
verified exact
local_arxiv, observed 2026-07-10T06:06:50.518864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-07-10T05:58:17.100557Z digest=sha256:6dcb146a88812b80122512919deba6f6c63f6dffe3f2468822c6ef368f71563f

Observation 5ea7172d-ef79-49ce-9ff1-8ce8e534a49a · inbound

Optimized Embedded Implementation of Hyperspectral-Multispectral Image Fusion on Raspberry Pi cites this paper.

Optimized Embedded Implementation of Hyperspectral-Multispectral Image Fusion on Raspberry Pi ExecuTorch -- A Unified PyTorch Solution to Run AI Models On-Device

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-01T03:31:52.519568Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T03:31:52.519568Z digest=sha256:3d32b448a148d10b2d29ceaaec2265c8ec82067f300ba8a54a0d6f3630878cc2

Observation 64a47206-ebd7-4f6b-a8dd-f187699fc01a · inbound

CONQuER: Hardware-Aware Mixed-Precision Quantisation with Online-Calibrated Surrogates cites this paper.

CONQuER: Hardware-Aware Mixed-Precision Quantisation with Online-Calibrated Surrogates ExecuTorch -- A Unified PyTorch Solution to Run AI Models On-Device

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-01T01:16:54.876433Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Meganeura: Portable GPU Training and Inference through Vulkan and Metal cites this paper.

Meganeura: Portable GPU Training and Inference through Vulkan and Metal ExecuTorch -- A Unified PyTorch Solution to Run AI Models On-Device

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