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Paper Citation Record · LEDGER

Opportunities and limitations of explaining quantum machine learning

As of 15 August 2026, this Paper Citation Record lists 100 of 108 outbound references and 3 inbound Pith citation observations for arXiv:2412.14753.

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

pith.paper-citation-record.v1
2412.14753 v1

Coverage vector

measured 100 of 108 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T12:02:09.268302Z

measured 103 of 103 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:54:05.808524Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T13:15:50.488873Z

Reference resolution

100 of 108 outbound references displayed

  • verified exact3
  • verified fuzzy34
  • unresolved63
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7685afd2-0c4b-495d-ade1-64cc7aa8619b · outbound

This paper cites an unresolved cited work.

Opportunities and limitations of explaining quantum machine learning Unresolved cited work

Reference 1

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Observation 3e432d20-8aa6-4bbd-bdbd-e25b41fd4bca · outbound

This paper cites an unresolved cited work.

Opportunities and limitations of explaining quantum machine learning Unresolved cited work

Reference 2

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Observation 57994125-50d6-40c1-b1a6-de0c2fd50503 · outbound

This paper cites an unresolved cited work.

Opportunities and limitations of explaining quantum machine learning Unresolved cited work

Reference 3

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source=pdf_text observed=2026-08-11T12:02:08.876468Z digest=sha256:c5e337a78de08f1d151032ec4f81a0e4af31b972a821b60f0fefbb3db884938b

Observation f54f675b-7bd0-4cc4-9cb9-dd3d4d5c8862 · outbound

This paper cites Goodfellow, Y.

Opportunities and limitations of explaining quantum machine learning Goodfellow, Y

Reference 4

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source=pdf_text observed=2026-08-11T12:02:08.880666Z digest=sha256:f68da06295224168e75591f6c13d473d11d2cc571b6e2d663a4cc1e7f6ffb97a

Observation cc7eb684-ff0d-4efa-9291-d2af576d7df7 · outbound

This paper cites an unresolved cited work.

Opportunities and limitations of explaining quantum machine learning Unresolved cited work

Reference 5

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source=pdf_text observed=2026-08-11T12:02:08.884798Z digest=sha256:d685b3159cbac7f3f30b613ee8530d6f6e42234647f7d994c08944fc6848ad47

Observation fcf324df-3bb5-4eb6-b54f-353d17f5f234 · outbound

This paper cites Silver, A.

Opportunities and limitations of explaining quantum machine learning Silver, A

Reference 6

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source=pdf_text observed=2026-08-11T12:02:08.888783Z digest=sha256:fc7705dd9b249c709e0338e473f350f8f7b61106023e9d5cc0c7f14cacb19e92

Observation 44ebe5db-57ea-4d9c-9051-788f75bbbfca · outbound

This paper cites an unresolved cited work.

Opportunities and limitations of explaining quantum machine learning Unresolved cited work

Reference 7

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source=pdf_text observed=2026-08-11T12:02:08.893163Z digest=sha256:c32c70e9822eb5fdce79b5f8e8f60404487dd1cbb62f551768c86d4917851d45

Observation 2c9bde27-5224-4f91-97f0-a1c744cfe349 · outbound

This paper cites an unresolved cited work.

Opportunities and limitations of explaining quantum machine learning Unresolved cited work

Reference 8

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source=pdf_text observed=2026-08-11T12:02:08.897424Z digest=sha256:5e0eccd6b5a72e29256af5c899bf2b4d449e5c2d6b96b96331bb65844b95ff06

Observation d108364a-7106-496b-85df-a518a81e276d · outbound

This paper cites Arute et al., Quantum supremacy using a programmable su- perconducting processor, Nature 574, 505 (2019).

Opportunities and limitations of explaining quantum machine learning Arute et al., Quantum supremacy using a programmable su- perconducting processor, Nature 574, 505 (2019)

Reference 9

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source=pdf_text observed=2026-08-11T12:02:08.901145Z digest=sha256:3708b4185bfdf6a1b41cf4cadaeeb2b2101d16163312d259466837822ae00f83

Observation 34a51b6c-f178-4637-bd26-16beace1361e · outbound

This paper cites Hangleiter and J.

Opportunities and limitations of explaining quantum machine learning Hangleiter and J

Reference 10

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source=pdf_text observed=2026-08-11T12:02:08.904907Z digest=sha256:3b11ef4984c276e87fa6add413863dd9f55bf108a2b606729ff39df8b2294df8

Observation 53f02b5a-f3b4-4ca0-af73-9c1da937b8ad · outbound

This paper cites Biamonte, P.

Opportunities and limitations of explaining quantum machine learning Biamonte, P

Reference 11

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source=pdf_text observed=2026-08-11T12:02:08.909429Z digest=sha256:4fa900d85c61398a7fc03328932cd6c90ece63c8b72df00d52b0bb5cdd44e666

Observation b2104bd2-a999-4b82-bbe5-88154db893f0 · outbound

This paper cites Dunjko and H.

Opportunities and limitations of explaining quantum machine learning Dunjko and H

Reference 12

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source=pdf_text observed=2026-08-11T12:02:08.913890Z digest=sha256:abe53ed0d4014aa7d2145a9fc5ad1127a959e9916e619236595087a2e93064e5

Observation b3a6b679-7ddd-4a17-a897-a9f1b751a602 · outbound

This paper cites Carleo, I.

Opportunities and limitations of explaining quantum machine learning Carleo, I

Reference 13

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source=pdf_text observed=2026-08-11T12:02:08.918228Z digest=sha256:b2ef6df2864da5a732f5bf6c4fbc55a828db0307c3c5933436db6895fb59758e

Observation b01a807c-bcaa-4b29-89b8-b1e6c784d9e8 · outbound

This paper cites an unresolved cited work.

Opportunities and limitations of explaining quantum machine learning Unresolved cited work

Reference 14

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source=pdf_text observed=2026-08-11T12:02:08.921999Z digest=sha256:fbd9658c0716028c7ce9ef1f8674c50e8b7ddfbfbe4c5431256743c73a50694e

Observation 42bd4185-493b-4818-91be-744f5e4c1bb5 · outbound

This paper cites Sweke, J.-P.

Opportunities and limitations of explaining quantum machine learning Sweke, J.-P

Reference 15

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source=pdf_text observed=2026-08-11T12:02:08.927259Z digest=sha256:5f5ca5999a85b974035e5bd9a8315a66db670dae99950e96d0f87a1c453ac6f8

Observation ae98b495-a569-4a6a-916d-db7603b4b7a9 · outbound

This paper cites an unresolved cited work.

Opportunities and limitations of explaining quantum machine learning Unresolved cited work

Reference 16

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source=pdf_text observed=2026-08-11T12:02:08.931353Z digest=sha256:e15fedf13859cf6042730fc09e8152f74245635c21519b62d21cb3efff71cbae

Observation e6dc611c-6620-48fc-b902-b5e830a6ecde · outbound

This paper cites Pirnay, R.

Opportunities and limitations of explaining quantum machine learning Pirnay, R

Reference 17

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source=pdf_text observed=2026-08-11T12:02:08.935544Z digest=sha256:e9d2845885786daab3a31136e0f1616fcd7065648b05d2502f79c24c7c4a7719

Observation b07e43b8-6774-448c-8f46-f1d5353a0917 · outbound

This paper cites Szegedy, W.

Opportunities and limitations of explaining quantum machine learning Szegedy, W

Reference 18

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source=pdf_text observed=2026-08-11T12:02:08.939972Z digest=sha256:84f91d8628ecb7ab417b111208c14d02fbdd0e42b1fba181df7e972c849b16ff

Observation 44217ab4-d630-4874-add9-029ffcdf4818 · outbound

This paper cites Lapuschkin, A.

Opportunities and limitations of explaining quantum machine learning Lapuschkin, A

Reference 19

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source=pdf_text observed=2026-08-11T12:02:08.944082Z digest=sha256:c6c3a6f9f98022be2def2ea2c2b669a2606e0d08ddd92ed2348ee087be110032

Observation dd08fe2a-9171-4800-addd-586e51d16acf · outbound

This paper cites Samek, G.

Opportunities and limitations of explaining quantum machine learning Samek, G

Reference 20

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source=pdf_text observed=2026-08-11T12:02:08.947714Z digest=sha256:39d8685dc1ec6ef270d99509932aece38b428749a378996f43007841922f29fd

Observation f3f9c36f-3ec4-42ac-bd3e-f5de34971ffb · outbound

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Opportunities and limitations of explaining quantum machine learning Unresolved cited work

Reference 21

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source=pdf_text observed=2026-08-11T12:02:08.951315Z digest=sha256:e16d1bf366bb379a5f3facd077e1b86c0068f11e551729a31ab9a3cd8b923467

Observation fb3e8772-6422-48f9-8715-8eeb6025c6b4 · outbound

This paper cites an unresolved cited work.

Opportunities and limitations of explaining quantum machine learning Unresolved cited work

Reference 22

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source=pdf_text observed=2026-08-11T12:02:08.954840Z digest=sha256:64371cf6b87e667ed9dc27e07bf42f8115036c88409cd2efa0e7d7e443793db9

Observation d4af2b99-a3fd-469e-8787-3bf244a157a9 · outbound

This paper cites eXplainable AI for Quantum Machine Learning.

Opportunities and limitations of explaining quantum machine learning eXplainable AI for Quantum Machine Learning

Reference 23

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source=pdf_text observed=2026-08-11T12:02:08.958851Z digest=sha256:2b09b787d49047e548044f4b52c517331a6c7f8cbada30b7af86c7a4f1f88d83

Observation 3d26514a-8dac-49a5-a82f-7e657409b2c9 · outbound

This paper cites Quantum Deep Dreaming: A Novel Approach for Quantum Circuit Design.

Opportunities and limitations of explaining quantum machine learning Quantum Deep Dreaming: A Novel Approach for Quantum Circuit Design

Reference 24

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T12:02:08.962997Z digest=sha256:e1dfdaa3cd0202f2724fe637946aaa68a3211bd70c8c1864c29001236fa91323

Observation 48996ea9-8d33-4876-a932-7c21ff155356 · outbound

This paper cites Explaining Quantum Circuits with Shapley Values: Towards Explainable Quantum Machine Learning.

Opportunities and limitations of explaining quantum machine learning Explaining Quantum Circuits with Shapley Values: Towards Explainable Quantum Machine Learning

Reference 25

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source=pdf_text observed=2026-08-11T12:02:08.966943Z digest=sha256:36f9c091bd69ba45da735e6980593833bdb2adf3efd7f636433ab4a6956c4d29

Observation 247afb21-ad79-42ca-8f38-7497acd7f896 · outbound

This paper cites Pira and C.

Opportunities and limitations of explaining quantum machine learning Pira and C

Reference 26

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source=pdf_text observed=2026-08-11T12:02:08.971020Z digest=sha256:75e1bf7cc3b2ed1b5a66043413d9fe57c44bca19c264bb61d1cd20d2f0878529

Observation 91f69d2c-003d-493a-b395-373852651a4c · outbound

This paper cites Enforcing Interpretability and its Statistical Impacts: Trade-offs between Accuracy and Interpretability.

Opportunities and limitations of explaining quantum machine learning Enforcing Interpretability and its Statistical Impacts: Trade-offs between Accuracy and Interpretability

Reference 27

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Observation e21ae737-bf36-4a3d-b078-9f2e0e0cb122 · outbound

This paper cites an unresolved cited work.

Opportunities and limitations of explaining quantum machine learning Unresolved cited work

Reference 28

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source=pdf_text observed=2026-08-11T12:02:08.979317Z digest=sha256:31af65fc00fb0bd59d86bd0bd02b778d21cb62f0f810f884df18998cb5cc7d35

Observation 3ea50fa6-e31b-4bdc-99f5-b227d39b2b6c · outbound

This paper cites Schuld, R.

Opportunities and limitations of explaining quantum machine learning Schuld, R

Reference 29

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source=pdf_text observed=2026-08-11T12:02:08.983006Z digest=sha256:b75880390b83d619c8cd194af9869a21e4754b6f47fec9d6bf6f7ad1de7c9640

Observation d6f948c1-8e53-4685-a36d-3f71dfa6fcf6 · outbound

This paper cites P ´erez-Salinas, A.

Opportunities and limitations of explaining quantum machine learning P ´erez-Salinas, A

Reference 30

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source=pdf_text observed=2026-08-11T12:02:08.986644Z digest=sha256:f97e8f259060eb3d683e6af3e1b82c86de69ecb8d8e129fc75d5c61c59595651

Observation 3b960bec-b012-4c50-9346-6a00eeab0520 · outbound

This paper cites Abbas, R.

Opportunities and limitations of explaining quantum machine learning Abbas, R

Reference 31

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source=pdf_text observed=2026-08-11T12:02:08.990406Z digest=sha256:cd1a9c80e72fd72df6881e121e5c1df903a89f62134a622046f8998cf7119ba4

Observation 2be702e3-91bb-4468-bb1f-fc2e5560905b · outbound

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Opportunities and limitations of explaining quantum machine learning Unresolved cited work

Reference 32

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source=pdf_text observed=2026-08-11T12:02:08.994011Z digest=sha256:1da8a5cd2ff9273ab45f0491b90a90e7d712caeacfdabf20a64997e94fe73c19

Observation cf461af4-a957-4cab-9aa3-e6006195fd9b · outbound

This paper cites Barren Plateaus in Variational Quantum Computing.

Opportunities and limitations of explaining quantum machine learning Barren Plateaus in Variational Quantum Computing

Reference 33

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source=pdf_text observed=2026-08-11T12:02:08.998033Z digest=sha256:4e59b6106c2d5e0e365404002f43ddf148421c60d4538df56ce7ccf5215e3f14

Observation 34f67af9-6e5d-46bd-857d-ae2d77177a5f · outbound

This paper cites Bravyi and D.

Opportunities and limitations of explaining quantum machine learning Bravyi and D

Reference 34

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raw_fallback, observed 2026-08-11T12:02:10.384459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T12:02:09.002373Z digest=sha256:8081aacab55a1a8e833b4d91c6a1fedc87a2b5aeb91a42645c6d01c120f915a5

Observation 8d9b9b1f-8c96-4960-b03f-9ad579be5cc4 · outbound

This paper cites Tang, A quantum-inspired classical algorithm for recom- mendation systems, in Proceedings of the 51st Annual ACM SIGACT Symposium on Theory of Computing , STOC ’19 (ACM, 2019).

Opportunities and limitations of explaining quantum machine learning Tang, A quantum-inspired classical algorithm for recom- mendation systems, in Proceedings of the 51st Annual ACM SIGACT Symposium on Theory of Computing , STOC ’19 (ACM, 2019)

Reference 35

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T12:02:09.007405Z digest=sha256:25b8b86a0657d895227dacae3af78fbb15bf1911b9017bdbf7254647574098fb

Observation 06aa59fe-f114-48b5-b5ce-e4e8504cac8b · outbound

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Opportunities and limitations of explaining quantum machine learning Unresolved cited work

Reference 36

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source=pdf_text observed=2026-08-11T12:02:09.012163Z digest=sha256:9375820486d66a3523c593dec24e421e6d647efa42f2620bf6e02e7dbf0e7cdb

Observation 626c5358-7174-42ec-854d-d5306e82eaba · outbound

This paper cites Landman, S.

Opportunities and limitations of explaining quantum machine learning Landman, S

Reference 37

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T12:02:09.016410Z digest=sha256:f719ba314b72374747ab41d8f37156108b904598f8894827e9c0412c4c739f7b

Observation 20e76aa7-5260-4cc1-9c89-60bc3b437ec3 · outbound

This paper cites Potential and limitations of random Fourier features for dequantizing quantum machine learning.

Opportunities and limitations of explaining quantum machine learning Potential and limitations of random Fourier features for dequantizing quantum machine learning

Reference 38

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source=pdf_text observed=2026-08-11T12:02:09.020874Z digest=sha256:c54f4d4f6cff2b37c62b79b4f11ddc016693fe2c66eb9c8ca6a40a1f2293b89e

Observation 2bba59f6-e8cb-4a84-adff-5ea7b4d2d54c · outbound

This paper cites an unresolved cited work.

Opportunities and limitations of explaining quantum machine learning Unresolved cited work

Reference 39

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T12:02:09.024929Z digest=sha256:f157f3dc1e8e3cdaa79c5ac9ba7d21938beef57a442988278f57e27057f9d9d8

Observation ad1c03e7-fb52-40c0-b9a5-a31f8416da99 · outbound

This paper cites Classical surrogate simulation of quantum systems with LOWESA.

Opportunities and limitations of explaining quantum machine learning Classical surrogate simulation of quantum systems with LOWESA

Reference 40

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:02:09.030174Z digest=sha256:5025523636a3ec97ce7c9eb6c7eeeec674452b1b8f347bd334d420c78b2d7066

Observation 3e6a14b7-8089-4e03-a84c-f7a47fce7f0d · outbound

This paper cites Does provable absence of barren plateaus imply classical simulability?.

Opportunities and limitations of explaining quantum machine learning Does provable absence of barren plateaus imply classical simulability?

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-11T12:02:09.034652Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:02:09.034652Z digest=sha256:37d18a0346abacd0984158523362485e56450992c863398503b917aecad1126a

Observation a9c6a21c-187a-484e-9d74-ffd0a640a592 · outbound

This paper cites Dias and R.

Opportunities and limitations of explaining quantum machine learning Dias and R

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:02:10.320120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T12:02:09.039277Z digest=sha256:5ea8cada3c429007b7bbfa63f4019f883ab88dd2d0840c3fff1f1f7c0a667811

Observation 629de2ed-eae9-4755-bcae-a65618a1bfe9 · outbound

This paper cites Gunning and D.

Opportunities and limitations of explaining quantum machine learning Gunning and D

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:02:10.307824Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T12:02:09.043548Z digest=sha256:b175f56e9dd1dd0673ed5680de6a06b3149043cc25a8e0f89a54a7c5078d73e0

Observation 0d87db31-11ef-45b3-b2cc-115b10639841 · outbound

This paper cites Lapuschkin, S.

Opportunities and limitations of explaining quantum machine learning Lapuschkin, S

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:02:10.289357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T12:02:09.047364Z digest=sha256:b8b7db065a15b3c40a6674a4f01452fb2a9230a9a2955e0275627d6980bd16b5

Observation 1476c309-b458-4f5c-8f57-fc160c16562a · outbound

This paper cites The Clever Hans Effect in Unsupervised Learning.

Opportunities and limitations of explaining quantum machine learning The Clever Hans Effect in Unsupervised Learning

Reference 45

Resolution
verified exact
local_arxiv, observed 2026-08-11T12:02:09.436664Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T12:02:09.051472Z digest=sha256:fc6265efb1ad75dc4a8c642881b8848feb99d0454b44dff901427d796d894330

Observation b53df227-19d0-49c8-b224-d46f02ade25c · outbound

This paper cites Geirhos, J.-H.

Opportunities and limitations of explaining quantum machine learning Geirhos, J.-H

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:02:10.276709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T12:02:09.055526Z digest=sha256:53f06b12d24880fb37f90342fcdb2088391c1d84105fd25eef9ed732f98f9709

Observation d6b20eb7-4a94-4ebe-9ed5-3f901c16529c · outbound

This paper cites an unresolved cited work.

Opportunities and limitations of explaining quantum machine learning Unresolved cited work

Reference 47

Resolution
unresolved
raw_fallback, observed 2026-08-11T12:02:10.263935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T12:02:09.059567Z digest=sha256:a1cb05eed79ed3d7f3adf6646ec1b152aa21cfc5ca281a952c870c1bcf964284

Observation 2b8db720-2f7b-413e-8088-4308320fb7b5 · outbound

This paper cites an unresolved cited work.

Opportunities and limitations of explaining quantum machine learning Unresolved cited work

Reference 48

Resolution
unresolved
raw_fallback, observed 2026-08-11T12:02:10.248149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T12:02:09.063494Z digest=sha256:aafc3f331f6c6dc5968e45936b43eef5bf2dd40a5e08ca93e11efc21cc989e37

Observation 93dddb53-91b3-455a-a99b-1cf532ab7b57 · outbound

This paper cites an unresolved cited work.

Opportunities and limitations of explaining quantum machine learning Unresolved cited work

Reference 49

Resolution
unresolved
raw_fallback, observed 2026-08-11T12:02:10.233336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T12:02:09.067291Z digest=sha256:bf5abfa4653fb5dc8daa048f9aafb978dd035246004408e2163c2b76953dfe0f

Observation 0e0bbf72-c3b7-422b-983e-8cffbcc8f213 · outbound

This paper cites Chormai, J.

Opportunities and limitations of explaining quantum machine learning Chormai, J

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:02:10.220826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T12:02:09.070820Z digest=sha256:2218c71c806081d0efe0b03b9c2804da1ad42d6652b679e889c376f0c34ca434

Observation 363377a3-179b-4e67-b595-b2aa7fabdeb4 · outbound

This paper cites Krenn, R.

Opportunities and limitations of explaining quantum machine learning Krenn, R

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:02:10.207786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T12:02:09.074678Z digest=sha256:3250084b4e6e559f7bb1a5ad604cc21cbdb8ef8ec93a9899e4bff373205861e2

Observation 439ae1d7-a302-4cbd-a2d6-a2af1670faf2 · outbound

This paper cites Schramowski, W.

Opportunities and limitations of explaining quantum machine learning Schramowski, W

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:02:10.195571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T12:02:09.079040Z digest=sha256:9eb09a312af505ba5b5c99e14d0e28fdcbfc98a38a5e560602163824eea87e59

Observation 6a0d9cd8-4cd8-4dcd-b93c-b5d258f324e5 · outbound

This paper cites Dreyer, R.

Opportunities and limitations of explaining quantum machine learning Dreyer, R

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:02:10.184142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T12:02:09.082891Z digest=sha256:5bd7cb4edd48d905981fb27ce284a457320bce103663af65f9d6ee48fd9fad36

Observation 5ebcd8cb-1680-4d36-9f6b-cf0939f0b5be · outbound

This paper cites an unresolved cited work.

Opportunities and limitations of explaining quantum machine learning Unresolved cited work

Reference 54

Resolution
unresolved
raw_fallback, observed 2026-08-11T12:02:10.173893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T12:02:09.086543Z digest=sha256:140d6c788f7b1656f38f239a15dfdf766ae3f02e58c9046105a8d39683027615

Observation 480e9627-709b-4b5d-a782-fa4dd0f2a49f · outbound

This paper cites Schnake, O.

Opportunities and limitations of explaining quantum machine learning Schnake, O

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:02:10.163183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T12:02:09.090326Z digest=sha256:a4d66d00082b09ba6220acc8b747202749aa9fd47c0f11c200f4ca6142582052

Observation 74d3fc69-4fd7-4d95-b35f-f63363523062 · outbound

This paper cites an unresolved cited work.

Opportunities and limitations of explaining quantum machine learning Unresolved cited work

Reference 56

Resolution
unresolved
raw_fallback, observed 2026-08-11T12:02:10.151350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T12:02:09.094023Z digest=sha256:8a6add59bc5f226bdf768e3c9bc551eb1bf8dabc243a7c35fd1b476351743916

Observation 8c5a3e06-f8f7-4bc4-9526-8b327c42152c · outbound

This paper cites Achtibat, M.

Opportunities and limitations of explaining quantum machine learning Achtibat, M

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:02:10.136498Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T12:02:09.097933Z digest=sha256:1ade74dfbde640c4c615d2b13797a0ddf0dabde8bfd76cc63b4c00d83245cb3f

Observation fe25800e-649f-44b4-a067-7c67e32bb0d0 · outbound

This paper cites Vielhaben, S.

Opportunities and limitations of explaining quantum machine learning Vielhaben, S

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:02:10.116147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T12:02:09.101522Z digest=sha256:307c466edda6b255cefe5f66187f6c77e82618bdbba6e4f24fe3f7684d5ceca1

Observation 972bc4bd-2e52-48ee-841a-48167e983936 · outbound

This paper cites an unresolved cited work.

Opportunities and limitations of explaining quantum machine learning Unresolved cited work

Reference 59

Resolution
unresolved
raw_fallback, observed 2026-08-11T12:02:10.101146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T12:02:09.106355Z digest=sha256:84e72a795b28c78b2f2c699f078020a514124d66c3c47212476f39218e460cf6

Observation 67a0e8e8-0b11-4e8b-8cea-da9e1d3c2e08 · outbound

This paper cites an unresolved cited work.

Opportunities and limitations of explaining quantum machine learning Unresolved cited work

Reference 60

Resolution
unresolved
raw_fallback, observed 2026-08-11T12:02:10.086461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T12:02:09.110030Z digest=sha256:f0da3bf6ac6051e7f1a951e8173b6ab44c392f098bfc7c7ae894ba6b137a3b78

Observation 42b7974f-26f9-459f-86ee-db1383a7e091 · outbound

This paper cites Vaswani, N.

Opportunities and limitations of explaining quantum machine learning Vaswani, N

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:02:10.073221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T12:02:09.114305Z digest=sha256:d2fcd2b8f9b548d009a9fda5ff0f48913af4cad35e2083bcf31116528de07725

Observation f11e3a9d-3f9f-417e-be5e-83abdb5c0619 · outbound

This paper cites an unresolved cited work.

Opportunities and limitations of explaining quantum machine learning Unresolved cited work

Reference 62

Resolution
unresolved
raw_fallback, observed 2026-08-11T12:02:10.062178Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T12:02:09.118664Z digest=sha256:6eb63c63f91d0c6bebef2d3a307791b0fd744a8ec60721a143096f5379ffd9b6

Observation 2e1c5c55-4067-48e0-9f32-01f4ce5caf2d · outbound

This paper cites Sundararajan, A.

Opportunities and limitations of explaining quantum machine learning Sundararajan, A

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:02:10.049510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T12:02:09.122478Z digest=sha256:54655d10b3a0c786955934ae8090983c5ff6b776d99cb4ac3548b2524157bf89

Observation f2e5d0ca-0ad6-4cdf-97e1-0b5277e737ad · outbound

This paper cites ˇStrumbelj and I.

Opportunities and limitations of explaining quantum machine learning ˇStrumbelj and I

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:02:10.036919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T12:02:09.126786Z digest=sha256:b4993e697432c2d697a9ed0f5d95e766936410427a3acb2df592e39a7b9c304c

Observation 3bd4afaa-8238-44bc-b3e2-e64b98e0aad6 · outbound

This paper cites Dombrowski, J.

Opportunities and limitations of explaining quantum machine learning Dombrowski, J

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:02:10.024492Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T12:02:09.131030Z digest=sha256:9d8ab132ca69844a336f638717930d5b348919b5aa6ad7ef2a8b17ad44d8913d

Observation 0a1595b5-7c44-40e5-bb57-7e60cf7bd369 · outbound

This paper cites Nguyen, A.

Opportunities and limitations of explaining quantum machine learning Nguyen, A

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:02:10.010959Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T12:02:09.134874Z digest=sha256:64bd0527ae196e91a852acee79ea5e3a7b3e175e4c09bd416693bb803569ad79

Observation e9bc857c-0a6e-4cfe-b8e2-6aa460497a04 · outbound

This paper cites html (2015), accessed: 2024-08-01.

Opportunities and limitations of explaining quantum machine learning html (2015), accessed: 2024-08-01

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:02:09.996890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T12:02:09.139504Z digest=sha256:ceee0bd619a295341cd414607611f6db85d353c6506b22708cf992dbfb4351cc

Observation 91d19812-6fc4-4faa-a070-2ca769e532f3 · outbound

This paper cites an unresolved cited work.

Opportunities and limitations of explaining quantum machine learning Unresolved cited work

Reference 68

Resolution
unresolved
raw_fallback, observed 2026-08-11T12:02:09.981105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T12:02:09.143905Z digest=sha256:196d9d38de3a6c18878e86103805f59379031b4fb096db584046995d364792b4

Observation 5e9cb5af-8bcf-434f-8854-c73c2ae964e2 · outbound

This paper cites an unresolved cited work.

Opportunities and limitations of explaining quantum machine learning Unresolved cited work

Reference 69

Resolution
unresolved
raw_fallback, observed 2026-08-11T12:02:09.964649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T12:02:09.147919Z digest=sha256:a77cfdadd1b09367e9068dd6a9be42114f8756340a7ca194bc9fa5c9a1e310db

Observation ab38e3e2-e86b-4ea2-86bd-1035173fb9fc · outbound

This paper cites Sundararajan and A.

Opportunities and limitations of explaining quantum machine learning Sundararajan and A

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:02:09.949860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T12:02:09.151795Z digest=sha256:27ab8d6ce57823bfb91e97d4d23b60c1bfc9f1bbc6e5c718e1398f5c0466ed95

Observation a8ecc1f4-ea2a-4c4c-ae44-09ba4d861f9c · outbound

This paper cites Castro, D.

Opportunities and limitations of explaining quantum machine learning Castro, D

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:02:09.937117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T12:02:09.155622Z digest=sha256:81a9889452f1d99ccc94b14a131b3d3034bebfb2aae36f412b24114b28623165

Observation 99980035-c484-41f4-8dee-4b172ad4008e · outbound

This paper cites Ancona, C.

Opportunities and limitations of explaining quantum machine learning Ancona, C

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:02:09.919556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T12:02:09.159249Z digest=sha256:9b78262f68a5d6f85ae8981c688175a1b261fc26107b9437b67693d59b81ce42

Observation 018c982a-4d8a-48ea-8875-8c25f8d6e7b1 · outbound

This paper cites an unresolved cited work.

Opportunities and limitations of explaining quantum machine learning Unresolved cited work

Reference 73

Resolution
unresolved
raw_fallback, observed 2026-08-11T12:02:09.905785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T12:02:09.163326Z digest=sha256:e9e6d14a04af6258d1a386914dd74e6a5a97aa4091a8e15ad5bec8bcac78ca4c

Observation c7b36b6f-c1f1-417d-a836-bec281d65416 · outbound

This paper cites Montavon, J.

Opportunities and limitations of explaining quantum machine learning Montavon, J

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:02:09.888587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T12:02:09.167186Z digest=sha256:4b3a86d76d67d42cbcc9a3016129a7f4c2fa0dd0aeb262c0a2b23ffd6729a0e6

Observation b44fc3d9-4784-4280-a663-ca2dbe557e90 · outbound

This paper cites an unresolved cited work.

Opportunities and limitations of explaining quantum machine learning Unresolved cited work

Reference 75

Resolution
unresolved
raw_fallback, observed 2026-08-11T12:02:09.874295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T12:02:09.170895Z digest=sha256:7c676c1a08e3805b4f4f0ac208f85a45c2c2930466d732aeb66dfeea962062a5

Observation 2924cc84-cad9-4ce1-9f55-868739a8620f · outbound

This paper cites Montavon, A.

Opportunities and limitations of explaining quantum machine learning Montavon, A

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:02:09.852418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T12:02:09.174629Z digest=sha256:ee9952674679484dc6b19038894b02c0e2db8546744202f612aa7f632344e916

Observation a9714113-885c-4abd-bede-284f42abc0c0 · outbound

This paper cites Samek, A.

Opportunities and limitations of explaining quantum machine learning Samek, A

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:02:09.837264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T12:02:09.178309Z digest=sha256:2dd353edcf8df4e55e61fb46f98c2c8c44938d9134c6fd26051cca5b7e3f78cf

Observation af2337fb-191c-4080-a370-10795299e52b · outbound

This paper cites Arras, A.

Opportunities and limitations of explaining quantum machine learning Arras, A

Reference 78

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:02:09.825254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T12:02:09.181889Z digest=sha256:ac4e6ca59555d458fdb09bc07387d6271ddf604bff651bb63a5e95852bfa0d8b

Observation 2f285e6d-18a9-4b0b-b6fb-ecb805213958 · outbound

This paper cites Hedstr ¨om, L.

Opportunities and limitations of explaining quantum machine learning Hedstr ¨om, L

Reference 79

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:02:09.813649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T12:02:09.185401Z digest=sha256:af1d677121237d561106c537687d58247e853a9397abd02a3dd66ba2d4c07b5f

Observation 0e1c32cd-5042-4fa1-8d10-cedf91e1e713 · outbound

This paper cites an unresolved cited work.

Opportunities and limitations of explaining quantum machine learning Unresolved cited work

Reference 80

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T12:02:09.188905Z digest=sha256:080814d460809f3623407851a29297a63c3cf451839fd64f1749a83a0b6f4a7e

Observation 2c5901e1-d49f-4ef9-b59d-691c592d8edd · outbound

This paper cites Huang, R.

Opportunities and limitations of explaining quantum machine learning Huang, R

Reference 81

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verified fuzzy
raw_fallback, observed 2026-08-11T12:02:09.786587Z

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source=pdf_text observed=2026-08-11T12:02:09.193595Z digest=sha256:511c869cf91dcd45fbf5363b7a5e7bf04703565c8072426628a6b4878d29b5db

Observation 9d7987f5-c85b-4171-9ec3-632c18f59eba · outbound

This paper cites an unresolved cited work.

Opportunities and limitations of explaining quantum machine learning Unresolved cited work

Reference 82

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:02:09.197084Z digest=sha256:9ed6f8f525fc52c04ccd80778dec1a5fb10222c85a42778b4a93b4b6ad26a79a

Observation cd21ebe7-ab0e-49d6-8c7c-b0b599cc960c · outbound

This paper cites Eisert, M.

Opportunities and limitations of explaining quantum machine learning Eisert, M

Reference 83

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source=pdf_text observed=2026-08-11T12:02:09.201114Z digest=sha256:979a69df9c129a334add1c6b6fcbb0d22ddf7a26664dd083c711e645f58abaf0

Observation 1182d3ea-e002-43dd-9b87-aeafb4d258aa · outbound

This paper cites Gottesman, Theory of fault-tolerant quantum computation, Phys.

Opportunities and limitations of explaining quantum machine learning Gottesman, Theory of fault-tolerant quantum computation, Phys

Reference 84

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source=pdf_text observed=2026-08-11T12:02:09.204648Z digest=sha256:631e460d89dbb0309d79d2f43c65425f59ddf0700e30acfc237ec64d10bbccd7

Observation 61668b44-31ee-4bc6-a981-f887c238f304 · outbound

This paper cites Stabilizer Tensor Networks: universal quantum simulator on a basis of stabilizer states.

Opportunities and limitations of explaining quantum machine learning Stabilizer Tensor Networks: universal quantum simulator on a basis of stabilizer states

Reference 85

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source=pdf_text observed=2026-08-11T12:02:09.208352Z digest=sha256:f87cbc07b8754028ece71b490162be8dcd6112ef82c64cf5cedf3f02b2988b52

Observation 2d2410d6-8beb-434a-ab5f-8189d32e47b0 · outbound

This paper cites Trade-off between Gradient Measurement Efficiency and Expressivity in Deep Quantum Neural Networks.

Opportunities and limitations of explaining quantum machine learning Trade-off between Gradient Measurement Efficiency and Expressivity in Deep Quantum Neural Networks

Reference 86

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source=pdf_text observed=2026-08-11T12:02:09.212542Z digest=sha256:88bc42e6eb2c3b00f55be0ddfa131179df1a4b35a81f2c622ec2aa4a8965e4cc

Observation 1299ed2b-08da-4754-bf7f-41c2dc54b23b · outbound

This paper cites On the relation between trainability and dequantization of variational quantum learning models.

Opportunities and limitations of explaining quantum machine learning On the relation between trainability and dequantization of variational quantum learning models

Reference 87

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source=pdf_text observed=2026-08-11T12:02:09.216745Z digest=sha256:9bc29ae7cd03c3dedadafb27bbb79dcef13e9dcfe351b26a07c1a547e3116c21

Observation 7ff25c88-977f-4da1-81ca-30d2d61aa512 · outbound

This paper cites an unresolved cited work.

Opportunities and limitations of explaining quantum machine learning Unresolved cited work

Reference 88

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source=pdf_text observed=2026-08-11T12:02:09.221262Z digest=sha256:dd5b97318900caeace96f5eee49035f428e6cf9e3b3bcc0f79ea1f54b647fd51

Observation e47a9dd4-d525-4f3d-a7eb-59605d0a2162 · outbound

This paper cites Montavon, W.

Opportunities and limitations of explaining quantum machine learning Montavon, W

Reference 89

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raw_fallback, observed 2026-08-11T12:02:09.735167Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T12:02:09.225862Z digest=sha256:bf2267396c35e292131caa6bc347f883f59ab8364f07be93708e596bf4f65106

Observation 25160c38-bcba-4934-a6d2-5b9ef82d0e87 · outbound

This paper cites Achtibat, S.

Opportunities and limitations of explaining quantum machine learning Achtibat, S

Reference 90

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raw_fallback, observed 2026-08-11T12:02:09.722295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T12:02:09.229393Z digest=sha256:9ce9db084f82a32b7e1bd3d58b4b3c2328846474e6bdf244079b5980efb15c53

Observation 3108c420-8d94-4fb8-a3c8-211041986e63 · outbound

This paper cites Better than classical? The subtle art of benchmarking quantum machine learning models.

Opportunities and limitations of explaining quantum machine learning Better than classical? The subtle art of benchmarking quantum machine learning models

Reference 91

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source=pdf_text observed=2026-08-11T12:02:09.233987Z digest=sha256:90f73584e8393831e0f8e08188683aa61c26646f0ca2b700d4c84b5e3a7a5511

Observation 26952104-2dbc-4719-8f53-eb9068187c76 · outbound

This paper cites Supervised quantum machine learning models are kernel methods.

Opportunities and limitations of explaining quantum machine learning Supervised quantum machine learning models are kernel methods

Reference 92

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source=pdf_text observed=2026-08-11T12:02:09.238053Z digest=sha256:72dc3e223d9b2731a4c70c68d1fa9f3572348a6335e5f421731cf42068df2b8b

Observation a3299934-1583-4ed8-bfa9-786078ca67fe · outbound

This paper cites Speak so a physicist can understand you! TetrisCNN for detecting phase transitions and order parameters.

Opportunities and limitations of explaining quantum machine learning Speak so a physicist can understand you! TetrisCNN for detecting phase transitions and order parameters

Reference 93

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source=pdf_text observed=2026-08-11T12:02:09.242015Z digest=sha256:ba894a375451eff808e720c5e731080859c9bd2c9e68a3a43ff3c6aea1882e72

Observation fbdb7d55-24f2-467e-9468-63dcace2b609 · outbound

This paper cites Montavon, S.

Opportunities and limitations of explaining quantum machine learning Montavon, S

Reference 94

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source=pdf_text observed=2026-08-11T12:02:09.245750Z digest=sha256:2673edc3cb091d9b818a1f43b5e0f234bfc21e4f79c5b182f15ccbe9814e6006

Observation 35ae44f0-08f6-42a9-81b1-016153657c98 · outbound

This paper cites Schuld, A.

Opportunities and limitations of explaining quantum machine learning Schuld, A

Reference 95

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source=pdf_text observed=2026-08-11T12:02:09.249093Z digest=sha256:420f0dd2e4e7de6400ce95fa5d3333859743e76cd1d4842751ea1060d94cc028

Observation 7788e793-4313-47bc-9761-0eada8067b52 · outbound

This paper cites PennyLane: Automatic differentiation of hybrid quantum-classical computations.

Opportunities and limitations of explaining quantum machine learning PennyLane: Automatic differentiation of hybrid quantum-classical computations

Reference 96

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source=pdf_text observed=2026-08-11T12:02:09.252664Z digest=sha256:d359e1e98bf51c323c59c2a3053904e304f0ee1c29ba5049a5f368a7843fb78b

Observation 9acedc0a-d7ee-45f4-8004-d329d534326c · outbound

This paper cites Frostig, M.

Opportunities and limitations of explaining quantum machine learning Frostig, M

Reference 97

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source=pdf_text observed=2026-08-11T12:02:09.256410Z digest=sha256:f1087b0d6d332f3bc5ac07e98e44533135bdffd1fd5c0b7e963020d1e1b107f0

Observation 233424ca-2024-4872-9ba3-19064001214b · outbound

This paper cites SmoothGrad: removing noise by adding noise.

Opportunities and limitations of explaining quantum machine learning SmoothGrad: removing noise by adding noise

Reference 98

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source=pdf_text observed=2026-08-11T12:02:09.259953Z digest=sha256:00b0abf109c74fce11aa362592296695f636fe744d22a2df3f05ca53d09dd3c0

Observation 7efd81bf-3e8c-4ea8-8e44-2b76a79af659 · outbound

This paper cites an unresolved cited work.

Opportunities and limitations of explaining quantum machine learning Unresolved cited work

Reference 99

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source=pdf_text observed=2026-08-11T12:02:09.264393Z digest=sha256:9e36df609f5ed976eaadd866ed349aa37fc1021080b1f33ac6df19ae585d3252

Observation 8704512d-1998-4c3e-ade3-719262d363a7 · outbound

This paper cites an unresolved cited work.

Opportunities and limitations of explaining quantum machine learning Unresolved cited work

Reference 100

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source=pdf_text observed=2026-08-11T12:02:09.268302Z digest=sha256:7fe445007f051ebc28b35f783bb5bfa0cb3234b7590c3e8b80b57b3071fbef08

Pith citing papers

Observation 46b8c253-0c63-4973-90ff-2e08f223ab0d · inbound

Quantum computing and artificial intelligence: status and perspectives cites this paper.

Quantum computing and artificial intelligence: status and perspectives Opportunities and limitations of explaining quantum machine learning

Reference 60

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source=pdf_text observed=2026-08-07T12:54:05.808524Z digest=sha256:a82a1aacfa3e9eeae4543ba445e896081f3935cf4ac25901ac1bfb7009a15531

Observation e956365d-ea36-43e7-806a-fa38c4204c1b · inbound

Component Based Quantum Machine Learning Explainability cites this paper.

Component Based Quantum Machine Learning Explainability Opportunities and limitations of explaining quantum machine learning

Reference 7

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source=pdf_text observed=2026-08-07T00:56:55.870188Z digest=sha256:22b29eaf83b8e98b58420df484298bfd359eeb6e2cdb179b8cf9c8f354127ccd

Observation 3c5fe4f0-cb51-4a29-9f91-34aa5274ddc9 · inbound

Noise Models Impacts and Mitigation Strategies in Photonic Quantum Machine Learning cites this paper.

Noise Models Impacts and Mitigation Strategies in Photonic Quantum Machine Learning Opportunities and limitations of explaining quantum machine learning

Reference 7

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arxiv_id, observed 2026-05-15T13:15:50.490991Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-15T13:12:28.463117Z digest=sha256:35dd7e580885d5c3664e1c4f90cb5fad6bde81a78d202a6a364befc68d5135d5