Hybrid Quantum-Classical Learning for Multiclass Image Classification | Paper Citation Record

Observation 7e29dc29-c3d7-48a4-bd38-faebe434c218 · outbound

This paper cites The first pair of convolu- tions acts on the angle-encoded image and detects 5 FIG.

Hybrid Quantum-Classical Learning for Multiclass Image Classification The first pair of convolu- tions acts on the angle-encoded image and detects 5 FIG

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:38:43.907405Z

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This paper cites The reduced register is processed by the next two convolutional layers, which integrate information across a larger effec- tive receptive field.

Hybrid Quantum-Classical Learning for Multiclass Image Classification The reduced register is processed by the next two convolutional layers, which integrate information across a larger effec- tive receptive field

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:38:43.581169Z

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This paper cites The final convolutional pair operates on the remaining qubits to encode global patterns in the quantum state.

Hybrid Quantum-Classical Learning for Multiclass Image Classification The final convolutional pair operates on the remaining qubits to encode global patterns in the quantum state

Reference 3

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Hybrid Quantum-Classical Learning for Multiclass Image Classification Unresolved cited work

Reference 4

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This paper cites Outputs are centred at the origin, aligning with the most sensitive region of tanh and similar non-linearities.

Hybrid Quantum-Classical Learning for Multiclass Image Classification Outputs are centred at the origin, aligning with the most sensitive region of tanh and similar non-linearities

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:38:42.742148Z

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This paper cites Positive and negative excursions are treated equally, preventing biased weight updates during back-propagation.

Hybrid Quantum-Classical Learning for Multiclass Image Classification Positive and negative excursions are treated equally, preventing biased weight updates during back-propagation

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:38:42.517943Z

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This paper cites The four-fold expan- sion of the raw range widens the gradient window, mitigating both vanishing and exploding tendencies while preserving the relative ordering of probabili- ties.

Hybrid Quantum-Classical Learning for Multiclass Image Classification The four-fold expan- sion of the raw range widens the gradient window, mitigating both vanishing and exploding tendencies while preserving the relative ordering of probabili- ties

Reference 7

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Observation cc97ed4a-75cc-44c5-a850-6e4f3523e604 · outbound

This paper cites The deriva- tive of tanh is largest for |x| ≲ 2.

Hybrid Quantum-Classical Learning for Multiclass Image Classification The deriva- tive of tanh is largest for |x| ≲ 2

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:38:41.782853Z

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Observation 81dbfa5b-d21b-46b1-8dc9-f35e294b7fe7 · outbound

This paper cites If p is approximately uniform, then Var[p] = 1/12.

Hybrid Quantum-Classical Learning for Multiclass Image Classification If p is approximately uniform, then Var[p] = 1/12

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:38:41.471503Z

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Observation b32019e0-d7b6-4167-8193-51095ad03d5d · outbound

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Hybrid Quantum-Classical Learning for Multiclass Image Classification Unresolved cited work

Reference 10

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Observation 79c9c9ba-8f06-4101-a83b-759311bbcedd · outbound

This paper cites We pass this vector through a single fully connected layer of width m matching the number of target classes followed by a tanh nonlinearity.

Hybrid Quantum-Classical Learning for Multiclass Image Classification We pass this vector through a single fully connected layer of width m matching the number of target classes followed by a tanh nonlinearity

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:38:40.899214Z

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Observation d2843e18-a4dc-4204-b73c-23aecfae14aa · outbound

This paper cites In the four-class experiments reported here (m = 4) this is only 42 +4 = 20 trainable parameters.

Hybrid Quantum-Classical Learning for Multiclass Image Classification In the four-class experiments reported here (m = 4) this is only 42 +4 = 20 trainable parameters

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:38:40.649001Z

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Observation a6d6ba37-862e-493e-9eb8-7b5d25969810 · outbound

This paper cites V B 2), allowing direct dot-product fusion without further projection.

Hybrid Quantum-Classical Learning for Multiclass Image Classification V B 2), allowing direct dot-product fusion without further projection

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:38:40.400180Z

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This paper cites 8 We measure the discarded register, rescale the outcomes to [−2, 2], and obtain xdisc ∈ [−2, 2]m.

Hybrid Quantum-Classical Learning for Multiclass Image Classification 8 We measure the discarded register, rescale the outcomes to [−2, 2], and obtain xdisc ∈ [−2, 2]m

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:38:39.984017Z

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Hybrid Quantum-Classical Learning for Multiclass Image Classification Unresolved cited work

Reference 15

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Hybrid Quantum-Classical Learning for Multiclass Image Classification Unresolved cited work

Reference 16

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Hybrid Quantum-Classical Learning for Multiclass Image Classification Unresolved cited work

Reference 17

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Observation c062b4e1-1c39-400b-b24f-19bb950ec428 · outbound

This paper cites V B 1– V B 2), the two quantum-derived feature streams are merged without adding any further trainable parameters.

Hybrid Quantum-Classical Learning for Multiclass Image Classification V B 1– V B 2), the two quantum-derived feature streams are merged without adding any further trainable parameters

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:38:38.879659Z

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Observation 656df97f-5c9f-4576-a656-021b9c85ad95 · outbound

This paper cites Quanvolutional Neural Networks: Powering Image Recognition with Quantum Circuits.

Hybrid Quantum-Classical Learning for Multiclass Image Classification Quanvolutional Neural Networks: Powering Image Recognition with Quantum Circuits

Reference 19

Resolution: verified exact; local_arxiv, observed 2026-08-05T16:38:31.488656Z

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Hybrid Quantum-Classical Learning for Multiclass Image Classification Unresolved cited work

Reference 20

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Observation 2468aa0b-0af6-4a4b-849e-aa322c821690 · outbound

This paper cites Ciliberto, M.

Hybrid Quantum-Classical Learning for Multiclass Image Classification Ciliberto, M

Reference 21

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Observation c3efe714-930a-4b28-90d9-ba79f68b9cbd · outbound

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Hybrid Quantum-Classical Learning for Multiclass Image Classification Unresolved cited work

Reference 22

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Observation c6be0494-47ae-49e2-95a2-b65b3f76a346 · outbound

This paper cites Li, R.-G.

Hybrid Quantum-Classical Learning for Multiclass Image Classification Li, R.-G

Reference 23

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Observation 965b62af-eb4a-40c1-8287-5f815d5183f0 · outbound

This paper cites Vatan and C.

Hybrid Quantum-Classical Learning for Multiclass Image Classification Vatan and C

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:38:38.115915Z

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Observation c93fc340-80e3-46ea-86d1-2e6b8c29ce60 · outbound

This paper cites Chalumuri, R.

Hybrid Quantum-Classical Learning for Multiclass Image Classification Chalumuri, R

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:38:37.927569Z

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Observation 52ed0763-2e16-466f-929a-0a3edb6f850e · outbound

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Hybrid Quantum-Classical Learning for Multiclass Image Classification Unresolved cited work

Reference 26

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Observation e11829a8-90fc-40da-924f-db6e417d14dd · outbound

This paper cites Gianani, I.

Hybrid Quantum-Classical Learning for Multiclass Image Classification Gianani, I

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:38:37.702470Z

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Observation a05787a2-16c7-4970-84f3-b78b8e4bc043 · outbound

This paper cites A hybrid quantum-classical neural network with deep residual learning.

Hybrid Quantum-Classical Learning for Multiclass Image Classification A hybrid quantum-classical neural network with deep residual learning

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-05T16:38:25.356694Z

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Observation 29e2d20d-0963-48eb-b10a-ecc083886faf · outbound

This paper cites Preskill, Quantum computing in the nisq era and be- yond, Quantum 2, 79 (2018).

Hybrid Quantum-Classical Learning for Multiclass Image Classification Preskill, Quantum computing in the nisq era and be- yond, Quantum 2, 79 (2018)

Reference 29

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This paper cites Bharti, A.

Hybrid Quantum-Classical Learning for Multiclass Image Classification Bharti, A

Reference 30

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This paper cites Easom-McCaldin, A.

Hybrid Quantum-Classical Learning for Multiclass Image Classification Easom-McCaldin, A

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:38:37.323146Z

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Hybrid Quantum-Classical Learning for Multiclass Image Classification Unresolved cited work

Reference 32

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Observation 078e69f1-6939-436a-b488-f04b46d45e44 · outbound

This paper cites Chandra, S.

Hybrid Quantum-Classical Learning for Multiclass Image Classification Chandra, S

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:38:36.780603Z

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Observation cb3695ce-d7b1-4ad1-89e5-9f5bea78771d · outbound

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Hybrid Quantum-Classical Learning for Multiclass Image Classification Unresolved cited work

Reference 34

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Observation 7e9f7676-a210-450b-892f-c8602d7a63d6 · outbound

This paper cites Abbas, D.

Hybrid Quantum-Classical Learning for Multiclass Image Classification Abbas, D

Reference 35

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Observation 1a8f4012-a439-4c8c-b0dc-298197d65f97 · outbound

This paper cites Bokhan, A.

Hybrid Quantum-Classical Learning for Multiclass Image Classification Bokhan, A

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:38:36.122328Z

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Observation 016c0fc7-9eb5-4bde-aeb8-35c355f6f3f4 · outbound

This paper cites Chalumuri, R.

Hybrid Quantum-Classical Learning for Multiclass Image Classification Chalumuri, R

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:38:35.881791Z

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Observation dadfe139-a2b7-4aa2-b2f0-dde542031c64 · outbound

This paper cites Quantum embeddings for machine learning.

Hybrid Quantum-Classical Learning for Multiclass Image Classification Quantum embeddings for machine learning

Reference 38

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Hybrid Quantum-Classical Learning for Multiclass Image Classification Unresolved cited work

Reference 39

Resolution: unresolved; raw_fallback, observed 2026-08-05T16:38:35.589622Z

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Observation 63a29148-8170-47e8-947d-cf88715c18bc · outbound

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Hybrid Quantum-Classical Learning for Multiclass Image Classification Unresolved cited work

Reference 40

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Hybrid Quantum-Classical Learning for Multiclass Image Classification Unresolved cited work

Reference 41

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Observation 3d853c9b-c801-482c-b51d-da3aca648b77 · outbound

This paper cites Rebentrost, M.

Hybrid Quantum-Classical Learning for Multiclass Image Classification Rebentrost, M

Reference 42

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Observation 5857effb-1e0b-43cc-88b6-9c42bb15056f · outbound

This paper cites Lloyd, M.

Hybrid Quantum-Classical Learning for Multiclass Image Classification Lloyd, M

Reference 43

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Observation 9d96793c-5c52-45e6-bc26-1163196e8cf8 · outbound

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Hybrid Quantum-Classical Learning for Multiclass Image Classification Unresolved cited work

Reference 44

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Observation dec06d9c-89f1-481f-b430-d09977b0e942 · outbound

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Hybrid Quantum-Classical Learning for Multiclass Image Classification Unresolved cited work

Reference 45

Resolution: unresolved; raw_fallback, observed 2026-08-05T16:38:34.765744Z

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Observation 1be61656-d6c5-4c84-8523-55f11eface1c · outbound

This paper cites LaRose and B.

Hybrid Quantum-Classical Learning for Multiclass Image Classification LaRose and B

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:38:34.441694Z

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Observation e0c1fdf7-35eb-4dc3-a74b-7faa0a10d09f · outbound

This paper cites Smooth input preparation for quantum and quantum-inspired machine learning.

Hybrid Quantum-Classical Learning for Multiclass Image Classification Smooth input preparation for quantum and quantum-inspired machine learning

Reference 47

Resolution: verified exact; local_arxiv, observed 2026-08-05T16:38:31.264152Z

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Observation 05bf078f-6ae6-4748-936f-63abcca58e83 · outbound

This paper cites Classification with Quantum Neural Networks on Near Term Processors.

Hybrid Quantum-Classical Learning for Multiclass Image Classification Classification with Quantum Neural Networks on Near Term Processors

Reference 48

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Observation f2d965e0-6d35-46bf-b83b-5823adf56aea · outbound

This paper cites Schuld, A.

Hybrid Quantum-Classical Learning for Multiclass Image Classification Schuld, A

Reference 49

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Observation bdfd64ab-c1c5-44e1-8516-bdd09af51d9c · outbound

This paper cites Haah, Product decomposition of periodic functions in quantum signal processing, Quantum 3, 190 (2019).

Hybrid Quantum-Classical Learning for Multiclass Image Classification Haah, Product decomposition of periodic functions in quantum signal processing, Quantum 3, 190 (2019)

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:38:34.098013Z

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Observation 3913cbdf-8bc6-4cd3-95d4-c70bc63ea11f · outbound

This paper cites Quantum Recommendation Systems.

Hybrid Quantum-Classical Learning for Multiclass Image Classification Quantum Recommendation Systems

Reference 51

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Observation 343b0d23-e61d-4481-90e9-f0241c836552 · outbound

This paper cites Kerenidis and A.

Hybrid Quantum-Classical Learning for Multiclass Image Classification Kerenidis and A

Reference 52

Resolution: verified exact; doi, observed 2026-08-05T16:38:30.097463Z

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Observation 251f2fdb-7d97-471e-b024-c8a1e58886fc · outbound

This paper cites Quantum linear systems algorithms: a primer.

Hybrid Quantum-Classical Learning for Multiclass Image Classification Quantum linear systems algorithms: a primer

Reference 53

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Observation f8a942ac-905f-4e94-b40b-8780dc80e263 · outbound

This paper cites Hybrid quantum image classification and federated learning for hepatic steatosis diagnosis.

Hybrid Quantum-Classical Learning for Multiclass Image Classification Hybrid quantum image classification and federated learning for hepatic steatosis diagnosis

Reference 54

Resolution: verified exact; local_arxiv, observed 2026-08-05T16:38:30.998194Z

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Observation fa8c7093-e8fe-4b8d-a227-ec062c284328 · outbound

This paper cites Quantum Machine Learning in the Cognitive Domain: Alzheimer's Disease Study.

Hybrid Quantum-Classical Learning for Multiclass Image Classification Quantum Machine Learning in the Cognitive Domain: Alzheimer's Disease Study

Reference 55

Resolution: verified exact; local_arxiv, observed 2026-08-05T16:38:30.627433Z

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Observation 4845135e-1aa1-4c06-a184-27b6e139bdbb · outbound

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Hybrid Quantum-Classical Learning for Multiclass Image Classification Unresolved cited work

Reference 56

Resolution: unresolved; raw_fallback, observed 2026-08-05T16:38:33.779424Z

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Observation 2a0ccbec-48f9-48fc-871d-83d4bbf1687c · outbound

This paper cites an unresolved cited work.

Hybrid Quantum-Classical Learning for Multiclass Image Classification Unresolved cited work

Reference 57

Resolution: unresolved; raw_fallback, observed 2026-08-05T16:38:33.523671Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 50d7fd2b-4245-402b-bceb-928311cefad9 · outbound

This paper cites Ragone, B.

Hybrid Quantum-Classical Learning for Multiclass Image Classification Ragone, B

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:38:33.172507Z

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Observation d297c7b3-491c-4a53-8a28-ea993244e525 · outbound

This paper cites Vatan and C.

Hybrid Quantum-Classical Learning for Multiclass Image Classification Vatan and C

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-05T16:38:28.878340Z

Source-reported events for the cited work

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Observation a1ac885a-ef92-4152-8cb8-38a023bbf5ed · outbound

This paper cites MacCormack, C.

Hybrid Quantum-Classical Learning for Multiclass Image Classification MacCormack, C

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:38:32.893615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7a10297a-4406-4a3c-a320-db1a47d1bdaa · outbound

This paper cites Pesah, M.

Hybrid Quantum-Classical Learning for Multiclass Image Classification Pesah, M

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:38:32.510617Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b59a2fa0-aeb5-48dc-8d8b-a62e70dda5dd · outbound

This paper cites Neven, J.

Hybrid Quantum-Classical Learning for Multiclass Image Classification Neven, J

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:38:32.255628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8c3e8bf3-c365-4f42-a4b3-57e0dda5ce82 · outbound

This paper cites an unresolved cited work.

Hybrid Quantum-Classical Learning for Multiclass Image Classification Unresolved cited work

Reference 63

Resolution: malformed identifier; no resolver link, observed 2026-08-05T16:38:29.357711Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fa063527-b8fa-407f-9899-d53591d725a7 · outbound

This paper cites an unresolved cited work.

Hybrid Quantum-Classical Learning for Multiclass Image Classification Unresolved cited work

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-05T16:38:29.388224Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0646b493-0757-43ed-a6f0-d678c3e82d29 · outbound

This paper cites Glorot and Y.

Hybrid Quantum-Classical Learning for Multiclass Image Classification Glorot and Y

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-05T16:38:29.560081Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 134cc9ef-2510-413c-accf-8ddf7b77cd3f · outbound

This paper cites Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling.

Hybrid Quantum-Classical Learning for Multiclass Image Classification Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-05T16:38:29.666671Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 851a6e48-5bf2-4945-9a9a-26d0aa8bd18a · outbound

This paper cites Hochreiter and J.

Hybrid Quantum-Classical Learning for Multiclass Image Classification Hochreiter and J

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:38:32.012814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6742ef72-05c1-47d3-8f10-1af0d5752254 · outbound

This paper cites an unresolved cited work.

Hybrid Quantum-Classical Learning for Multiclass Image Classification Unresolved cited work

Reference 68

Resolution: unresolved; raw_fallback, observed 2026-08-05T16:38:31.763315Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers