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Paper Citation Record · LEDGER

Quantum Relational Knowledge Distillation

As of 23 August 2026, this Paper Citation Record lists 76 of 76 outbound references and 2 inbound Pith citation observations for arXiv:2508.13054.

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

pith.paper-citation-record.v1
2508.13054 v1

Coverage vector

measured 76 of 76 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T19:15:34.755533Z

measured 78 of 78 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-16T02:28:17.666888Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T02:30:32.358791Z

Reference resolution

76 of 76 outbound references displayed

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  • unresolved76
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  • malformed identifier0
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External citation measurements

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Outbound references

Observation 37faa810-fa8c-47c9-b43c-259f1b374447 · outbound

This paper cites A survey of convolutional neural networks: analysis, applications, and prospects.

Quantum Relational Knowledge Distillation A survey of convolutional neural networks: analysis, applications, and prospects

Reference 1

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source=arxiv_source observed=2026-08-05T19:13:43.244393Z digest=sha256:1690ee5aeac96513c30020aa39ff7253b2c3d773a554187de3ed02d2bdc11766

Observation 4fd291ff-7c83-4b0d-9146-6ed8f2e39cc3 · outbound

This paper cites Language models are unsupervised multitask learners.

Quantum Relational Knowledge Distillation Language models are unsupervised multitask learners

Reference 2

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source=arxiv_source observed=2026-08-05T19:14:34.359834Z digest=sha256:d2054acf13ac1960d7d0557ad90d87800406ab2287e8612a85ff644820d28225

Observation d27445c9-4b05-46c7-af4d-22df0648fe8c · outbound

This paper cites Awq: Activation-aware weight quantization for on-device llm compression and acceleration.

Quantum Relational Knowledge Distillation Awq: Activation-aware weight quantization for on-device llm compression and acceleration

Reference 3

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source=arxiv_source observed=2026-08-05T19:14:50.845499Z digest=sha256:2da43e2ac19c813d3b6ac094d248b5baa5ed772da9e2ad7410f6de247a112588

Observation 98d815f8-d5d0-4829-acd7-bac57663e119 · outbound

This paper cites Distilling the Knowledge in a Neural Network.

Quantum Relational Knowledge Distillation Distilling the Knowledge in a Neural Network

Reference 4

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source=arxiv_source observed=2026-08-05T19:15:02.858903Z digest=sha256:441fd3b1f5a86d71df27200cd73165b0d83d28dcce4299fdbc79e94710cffc89

Observation d8fda963-2d3e-47ba-8f97-d8b89ae43a7d · outbound

This paper cites Like What You Like: Knowledge Distill via Neuron Selectivity Transfer.

Quantum Relational Knowledge Distillation Like What You Like: Knowledge Distill via Neuron Selectivity Transfer

Reference 5

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source=arxiv_source observed=2026-08-05T19:15:04.668760Z digest=sha256:d5c666c9ce66d427c725cec23f9b52be9d827fd18e5a9edfcd173e3d5c9f96b3

Observation fa2583e5-e91a-47be-b551-efe5f2723dd5 · outbound

This paper cites Data-Free Knowledge Distillation for Deep Neural Networks.

Quantum Relational Knowledge Distillation Data-Free Knowledge Distillation for Deep Neural Networks

Reference 6

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source=arxiv_source observed=2026-08-05T19:15:31.252013Z digest=sha256:8c5922e9fa76d492c63e9b0e1afd6f895a6310c53cf7f4eb6a61ec3386240064

Observation 3cf63ad8-d1ce-4bd9-8a68-cbb051d40ae4 · outbound

This paper cites Unifying distillation and privileged information.

Quantum Relational Knowledge Distillation Unifying distillation and privileged information

Reference 7

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source=arxiv_source observed=2026-08-05T19:15:31.267526Z digest=sha256:383589429523373aa579e204ead77f00204e7c588d512137a33de7972d91aa2f

Observation 9de2cb90-76e4-4c24-876b-efc89c71394d · outbound

This paper cites Relational knowledge distillation.

Quantum Relational Knowledge Distillation Relational knowledge distillation

Reference 8

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source=arxiv_source observed=2026-08-05T19:15:31.312711Z digest=sha256:11c1448d3e4883fc865ebfe8b9059b85b10d61c43d4a41f6da423970551c6bf2

Observation e954a3bc-a21b-49a2-8cd2-bf84d0e7f3d8 · outbound

This paper cites An introduction to quantum machine learning.

Quantum Relational Knowledge Distillation An introduction to quantum machine learning

Reference 9

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source=arxiv_source observed=2026-08-05T19:15:31.348990Z digest=sha256:96a09c97a1a7951ed87bc26a9cddece53b2108d409e2617d208383f5f6731a58

Observation a4417b76-c693-4b4f-9d64-d17719072893 · outbound

This paper cites Quantum machine learning.

Quantum Relational Knowledge Distillation Quantum machine learning

Reference 10

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source=arxiv_source observed=2026-08-05T19:15:31.360565Z digest=sha256:7f813f8918f0c1fbb419d1408f380edecbd6ce3f4c040086398c6923e1fd6811

Observation abb47acc-c9a5-4de8-80a0-0e20b78de8ad · outbound

This paper cites Training classical neural networks by quantum machine learning.

Quantum Relational Knowledge Distillation Training classical neural networks by quantum machine learning

Reference 11

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source=arxiv_source observed=2026-08-05T19:15:31.374070Z digest=sha256:77ac96174929e3f220f89f665bbc43b89a87843fce4de803a44d59dce5ebdc98

Observation 4cf2dfdb-e5a2-47b7-99a5-f303d1eabd71 · outbound

This paper cites A quantum circuit-based compression perspective for parameter-efficient learning.

Quantum Relational Knowledge Distillation A quantum circuit-based compression perspective for parameter-efficient learning

Reference 12

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source=arxiv_source observed=2026-08-05T19:15:31.384298Z digest=sha256:d7608a466ff17f3b1431d60a325226c2ae693c51c6a71dc29ba627f5b56badb4

Observation c0333c6a-4591-488f-a5bb-ee99c29d9eae · outbound

This paper cites Quantum machine learning in feature hilbert spaces.

Quantum Relational Knowledge Distillation Quantum machine learning in feature hilbert spaces

Reference 13

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source=arxiv_source observed=2026-08-05T19:15:31.404720Z digest=sha256:5dbb54947dd40b20b31f920c788661edf71e36374db1c6ef28b271b16ef43dcc

Observation 60cbf489-ba98-44c2-8e9c-1e4b14b456ae · outbound

This paper cites Supervised learning with quantum-enhanced feature spaces.

Quantum Relational Knowledge Distillation Supervised learning with quantum-enhanced feature spaces

Reference 14

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source=arxiv_source observed=2026-08-05T19:15:31.421106Z digest=sha256:072720189368b9836311f1a644b305a266352fdbffa605e6f3f427150c15b896

Observation 1dc5ec50-cd22-4434-9afd-221ae36e25af · outbound

This paper cites Power of data in quantum machine learning.

Quantum Relational Knowledge Distillation Power of data in quantum machine learning

Reference 15

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source=arxiv_source observed=2026-08-05T19:15:31.429625Z digest=sha256:851dd4e81957ad2fc5bed66e231c2dc3eee19b430370731ff0f7c3798f5a59e6

Observation 8ee9d40f-cbd9-4aaf-a54f-f2d945f2e0f6 · outbound

This paper cites Similarity of neural network representations revisited.

Quantum Relational Knowledge Distillation Similarity of neural network representations revisited

Reference 16

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source=arxiv_source observed=2026-08-05T19:15:31.436842Z digest=sha256:c607f4956fd52b12a9c7904b482c2adfd4ac157d4573ab7adbfacee12db0f6bb

Observation d856ef34-b212-4cd5-886d-7ac71d3d2d77 · outbound

This paper cites A kernel perspective on distillation-based collaborative learning.

Quantum Relational Knowledge Distillation A kernel perspective on distillation-based collaborative learning

Reference 17

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Observation 40057502-11e4-4bea-a339-e1f3910b9a0f · outbound

This paper cites Rethinking centered kernel alignment in knowledge distillation.

Quantum Relational Knowledge Distillation Rethinking centered kernel alignment in knowledge distillation

Reference 18

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Observation 3855df1b-4915-4a9b-a3a1-ebcd65ceca62 · outbound

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

Quantum Relational Knowledge Distillation Supervised quantum machine learning models are kernel methods

Reference 19

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Observation b42230a7-e31d-4ea5-ae7b-c1551295e369 · outbound

This paper cites Exponential concentration in quantum kernel methods.

Quantum Relational Knowledge Distillation Exponential concentration in quantum kernel methods

Reference 20

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Observation 4610d1bc-7583-4e29-9f0f-d56518b9a0c5 · outbound

This paper cites Neural quantum kernels: Training quantum kernels with quantum neural networks.

Quantum Relational Knowledge Distillation Neural quantum kernels: Training quantum kernels with quantum neural networks

Reference 21

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Observation a257195e-5cc0-4616-ba62-54a8c14e474f · outbound

This paper cites Geometrical and statistical properties of systems of linear inequalities with applications in pattern recognition.

Quantum Relational Knowledge Distillation Geometrical and statistical properties of systems of linear inequalities with applications in pattern recognition

Reference 22

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Observation 0ac8aa0e-b152-4366-95c4-fa28ef2e068e · outbound

This paper cites A training algorithm for optimal margin classifiers.

Quantum Relational Knowledge Distillation A training algorithm for optimal margin classifiers

Reference 23

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source=arxiv_source observed=2026-08-05T19:15:31.620151Z digest=sha256:905b0a05a19348b47e87edacb522a2a57684c82f5d15ba578a2aa9d806c4a669

Observation 18ddb8e0-875c-48e9-bd49-2a583d932d03 · outbound

This paper cites Pointer Sentinel Mixture Models.

Quantum Relational Knowledge Distillation Pointer Sentinel Mixture Models

Reference 24

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source=arxiv_source observed=2026-08-05T19:15:31.633417Z digest=sha256:5ba7ce85a7da7b9a619734c304a0b2c4663f9cd5a98be3d45bc071a9f7e672cc

Observation 59be61b4-5c48-4e55-9e28-c8984a6853b7 · outbound

This paper cites Building a large annotated corpus of english: The penn treebank.

Quantum Relational Knowledge Distillation Building a large annotated corpus of english: The penn treebank

Reference 25

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Observation 22b45e65-a751-4eb6-93a4-51007fc203ba · outbound

This paper cites Learning word vectors for sentiment analysis.

Quantum Relational Knowledge Distillation Learning word vectors for sentiment analysis

Reference 26

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Observation 7ff43cbe-cdfc-42a6-ab6e-34df6d4c168a · outbound

This paper cites Quantum Knowledge Distillation for Large Language Models.

Quantum Relational Knowledge Distillation Quantum Knowledge Distillation for Large Language Models

Reference 27

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Observation ccd2a422-ce7d-4888-829a-942d023d7427 · outbound

This paper cites Quantum computation and quantum information.

Quantum Relational Knowledge Distillation Quantum computation and quantum information

Reference 28

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Observation f4873108-b16d-4d96-9388-235e836352fa · outbound

This paper cites an unresolved cited work.

Quantum Relational Knowledge Distillation Unresolved cited work

Reference 29

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Observation d611f06b-a1b1-4b01-b1e0-e3de7e785a62 · outbound

This paper cites an unresolved cited work.

Quantum Relational Knowledge Distillation Unresolved cited work

Reference 30

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Observation cbed9415-3c6b-450b-9312-0fb9e8f1a3bd · outbound

This paper cites an unresolved cited work.

Quantum Relational Knowledge Distillation Unresolved cited work

Reference 31

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Observation 50693405-6e28-4194-916b-7653bf0ec1e9 · outbound

This paper cites Learning phase transitions from dynamics.

Quantum Relational Knowledge Distillation Learning phase transitions from dynamics

Reference 32

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Observation 2b2594ef-a35d-4dcc-bda8-5b4b6e7c85e3 · outbound

This paper cites Probing many-body localization with neural networks.

Quantum Relational Knowledge Distillation Probing many-body localization with neural networks

Reference 33

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Observation b8e158bc-cc90-4e6a-ae8e-3c3b34b39d19 · outbound

This paper cites Machine learning the thermodynamic arrow of time.

Quantum Relational Knowledge Distillation Machine learning the thermodynamic arrow of time

Reference 34

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Observation bc3e2365-6df8-46ec-97bb-6a51bab2d0e4 · outbound

This paper cites Random sampling neural network for quantum many-body problems.

Quantum Relational Knowledge Distillation Random sampling neural network for quantum many-body problems

Reference 35

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Observation d84945af-5199-45b4-80cc-9f5719acc46b · outbound

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

Quantum Relational Knowledge Distillation Classification with Quantum Neural Networks on Near Term Processors

Reference 36

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Observation 42456634-9ff2-428f-af86-01dd313dc157 · outbound

This paper cites Quantum machine learning: a classical perspective.

Quantum Relational Knowledge Distillation Quantum machine learning: a classical perspective

Reference 37

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source=arxiv_source observed=2026-08-05T19:15:31.760796Z digest=sha256:38f0777a5d28c03f1d4352a317603171348c4023ea66890e88530e6ce43145b1

Observation a6aea769-9f4e-420e-b8d5-3f1bfefd9d63 · outbound

This paper cites Quantum machine learning in feature hilbert spaces.

Quantum Relational Knowledge Distillation Quantum machine learning in feature hilbert spaces

Reference 38

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Observation 7aa1083f-6bf1-4d74-972e-ced60316739b · outbound

This paper cites an unresolved cited work.

Quantum Relational Knowledge Distillation Unresolved cited work

Reference 39

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Observation 2210c5c5-6eb6-40c7-9b05-1bfdf908ab16 · outbound

This paper cites A grover-search based quantum learning scheme for classification.

Quantum Relational Knowledge Distillation A grover-search based quantum learning scheme for classification

Reference 40

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Observation 26d414b9-eb4a-4cb0-a051-e6a21588cc6f · outbound

This paper cites Olson, Matthias Degroote, Peter D.

Quantum Relational Knowledge Distillation Olson, Matthias Degroote, Peter D

Reference 41

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Observation 08603555-a7c3-4e56-bf9b-fd3151e108b4 · outbound

This paper cites Quantum-enhanced support vector machine for large-scale multi-class stellar classification.

Quantum Relational Knowledge Distillation Quantum-enhanced support vector machine for large-scale multi-class stellar classification

Reference 42

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source=arxiv_source observed=2026-08-05T19:15:31.846296Z digest=sha256:e505601bc4358b7f05b757a52fd803d0067ba319af1da7c6035e0bb7907aade4

Observation fff92fee-5825-4390-9920-5cb3d1da961b · outbound

This paper cites Multi-GPU-Enabled Hybrid Quantum-Classical Workflow in Quantum-HPC Middleware: Applications in Quantum Simulations.

Quantum Relational Knowledge Distillation Multi-GPU-Enabled Hybrid Quantum-Classical Workflow in Quantum-HPC Middleware: Applications in Quantum Simulations

Reference 43

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source=arxiv_source observed=2026-08-05T19:15:31.852896Z digest=sha256:055c932c62637bd98be062c01e4f69184a254a6b2c95ba1968967b5c97851095

Observation d73812f2-eb36-459e-8c52-08c4ad7423c1 · outbound

This paper cites Reinforcement learning quantum local search.

Quantum Relational Knowledge Distillation Reinforcement learning quantum local search

Reference 44

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source=arxiv_source observed=2026-08-05T19:15:31.860183Z digest=sha256:2fd9c7adc064b3bac6ae0b26de8124b68dfaf8464790533cc1b69b48bf2656c5

Observation cf7652c8-11da-4202-84f6-92e0dbb266d8 · outbound

This paper cites Practical quantum search by variational quantum eigensolver on noisy intermediate-scale quantum hardware.

Quantum Relational Knowledge Distillation Practical quantum search by variational quantum eigensolver on noisy intermediate-scale quantum hardware

Reference 45

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source=arxiv_source observed=2026-08-05T19:15:31.867802Z digest=sha256:985477c7aca4a470a07b743459ea50925622adffc1174b596fd314a89d1224b5

Observation c4f80f51-be60-4be8-9a63-aac3c6511e6a · outbound

This paper cites Quantum natural language processing on near-term quantum computers.

Quantum Relational Knowledge Distillation Quantum natural language processing on near-term quantum computers

Reference 46

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source=arxiv_source observed=2026-08-05T19:15:31.885402Z digest=sha256:1fc09815c717b5404ed0c5c78b9bfedbbdbf312f0891e7a35a0b0ce121525b5f

Observation bff37d98-e893-438a-9f49-d324669a1a2e · outbound

This paper cites Implementation of trained factorization machine recommendation system on quantum annealer.

Quantum Relational Knowledge Distillation Implementation of trained factorization machine recommendation system on quantum annealer

Reference 47

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source=arxiv_source observed=2026-08-05T19:15:31.970692Z digest=sha256:984ab67068f8441638da659b8dae0ee91f0270c0522facf693914dcffe7b5f45

Observation 8c2c7612-30e4-4512-ac62-2541c09a90be · outbound

This paper cites Quantum Recommendation Systems.

Quantum Relational Knowledge Distillation Quantum Recommendation Systems

Reference 48

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source=arxiv_source observed=2026-08-05T19:15:32.120515Z digest=sha256:8f12e78a7ff07ac63a4f632aff61c7899bc4073d932f63f582c67279638114d6

Observation 9894f826-9e73-4634-8a32-e2991e9dcbb2 · outbound

This paper cites Quantum generative adversarial networks.

Quantum Relational Knowledge Distillation Quantum generative adversarial networks

Reference 49

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source=arxiv_source observed=2026-08-05T19:15:32.212093Z digest=sha256:5661cf3e8937b6fb8ede07be83a8688ab65b24ff26aa13ea586adbb03240ab71

Observation bee9085c-4e4d-4d84-9bf2-10eb75943526 · outbound

This paper cites Learnability of quantum neural networks.

Quantum Relational Knowledge Distillation Learnability of quantum neural networks

Reference 50

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source=arxiv_source observed=2026-08-05T19:15:32.346368Z digest=sha256:916f383b9aadccbb4f2b923ef304af66ac461272da55ceb3cf7a8c52a9ed0db7

Observation 19e6e4b8-4db4-4446-9fa0-21633a64e79d · outbound

This paper cites an unresolved cited work.

Quantum Relational Knowledge Distillation Unresolved cited work

Reference 51

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source=arxiv_source observed=2026-08-05T19:15:32.441050Z digest=sha256:f18d1e21a3d3c5d956c68747bf6aaa35ccf100f838143419fb072e57a5154f3f

Observation 0a04175c-13a1-4f7e-9033-b7889707f1dc · outbound

This paper cites Expressive power of parametrized quantum circuits.

Quantum Relational Knowledge Distillation Expressive power of parametrized quantum circuits

Reference 52

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source=arxiv_source observed=2026-08-05T19:15:32.455800Z digest=sha256:3594ae1021323e935d9bb2078d888e556154be065cce3533ea557bb5cdc354b6

Observation 249aaca1-5835-410c-bcf5-4c8633e3e6db · outbound

This paper cites Learning quantum phase estimation by variational quantum circuits.

Quantum Relational Knowledge Distillation Learning quantum phase estimation by variational quantum circuits

Reference 53

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source=arxiv_source observed=2026-08-05T19:15:32.506076Z digest=sha256:bd6efcc9b0c9bdb26373c2039bc357f00bb982c688224fe43ff76b3fb24fd949

Observation a7f63ab7-7a0d-46b9-95a1-0646025e19b8 · outbound

This paper cites Escaping from the barren plateau via gaussian initializations in deep variational quantum circuits.

Quantum Relational Knowledge Distillation Escaping from the barren plateau via gaussian initializations in deep variational quantum circuits

Reference 54

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source=arxiv_source observed=2026-08-05T19:15:32.572664Z digest=sha256:6539f7e01d353b74071f1b797554be5606d0b7c074f54a85997a59da3e0613ad

Observation 80973ae7-b93f-4e15-93c8-1c782bebb99b · outbound

This paper cites Quantum gram-schmidt processes and their application to efficient state readout for quantum algorithms.

Quantum Relational Knowledge Distillation Quantum gram-schmidt processes and their application to efficient state readout for quantum algorithms

Reference 55

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source=arxiv_source observed=2026-08-05T19:15:32.671041Z digest=sha256:53c8447931b0889021885a875c726ceac291b616effd0746fc9f1ec5385e3216

Observation 1a1d1773-1303-4007-8df1-136d4a7bd396 · outbound

This paper cites Quantum differentially private sparse regression learning.

Quantum Relational Knowledge Distillation Quantum differentially private sparse regression learning

Reference 56

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source=arxiv_source observed=2026-08-05T19:15:32.734740Z digest=sha256:267c08fd7b03ae18a150340b2ea3170a5393f82140bf9252b399dfee997a3ec1

Observation 314c56b1-16fd-43e0-bd3f-aa4bf13d4aa5 · outbound

This paper cites Quantum noise protects quantum classifiers against adversaries.

Quantum Relational Knowledge Distillation Quantum noise protects quantum classifiers against adversaries

Reference 57

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source=arxiv_source observed=2026-08-05T19:15:32.835310Z digest=sha256:eff491b47b6912a7b0b3115ea3b719fb2023fb8827f48354d137c37e95bb180c

Observation a2caa18c-1b79-4918-99f4-cca4d7c6be3c · outbound

This paper cites The complexity of nisq.

Quantum Relational Knowledge Distillation The complexity of nisq

Reference 58

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source=arxiv_source observed=2026-08-05T19:15:32.900093Z digest=sha256:707121a0a680f7c4129af109cd2eb2098987ab25c91c460ff4613f0cb8bbe3ea

Observation 0ba142e0-99e3-44a3-9abe-f48a564ed899 · outbound

This paper cites Bromley, Josh Izaac, Maria Schuld, and Nathan Killoran.

Quantum Relational Knowledge Distillation Bromley, Josh Izaac, Maria Schuld, and Nathan Killoran

Reference 59

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source=arxiv_source observed=2026-08-05T19:15:32.964403Z digest=sha256:8347ab31632eb548d71d0744537a9f5b93e42a4d122743b78324e9d170236207

Observation 19d90b58-45e4-47fc-8038-913ace5b0c97 · outbound

This paper cites Quantum federated learning with quantum networks.

Quantum Relational Knowledge Distillation Quantum federated learning with quantum networks

Reference 60

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no resolver link, observed 2026-08-05T19:15:32.986851Z

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source=arxiv_source observed=2026-08-05T19:15:32.986851Z digest=sha256:c3a7e7d292b7cdb70e587b1b7d680a5006210db186a0bfaeaab64d594030d05c

Observation 41179788-7e57-40c7-a939-2380ce9799bb · outbound

This paper cites Parametrized quantum policies for reinforcement learning.

Quantum Relational Knowledge Distillation Parametrized quantum policies for reinforcement learning

Reference 61

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source=arxiv_source observed=2026-08-05T19:15:32.991619Z digest=sha256:b023e0afff2b6e49f447f1ede7e97042269a681db4cffc80fd1326ed4ffe0b0a

Observation a85dce27-a78e-40cf-bfc7-8fedca7fc551 · outbound

This paper cites Quantum agents in the gym: a variational quantum algorithm for deep q-learning.

Quantum Relational Knowledge Distillation Quantum agents in the gym: a variational quantum algorithm for deep q-learning

Reference 62

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source=arxiv_source observed=2026-08-05T19:15:33.120187Z digest=sha256:5ea512871efc79d0591ad6b2e97553a5fa1938c94608e41b3499ea76b95d1e9a

Observation dcf12e4b-b636-4536-9b0c-12f4c3993d51 · outbound

This paper cites Variational quantum circuits for deep reinforcement learning.

Quantum Relational Knowledge Distillation Variational quantum circuits for deep reinforcement learning

Reference 63

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source=arxiv_source observed=2026-08-05T19:15:33.253269Z digest=sha256:a2f0ce5b1077527d0ce411ad569f523f7a844e89c98ddb79c6f82b9b50a37b0e

Observation 8c4afac3-c83f-45a8-8a12-593bc444109d · outbound

This paper cites Quantum-Train: Rethinking Hybrid Quantum-Classical Machine Learning in the Model Compression Perspective.

Quantum Relational Knowledge Distillation Quantum-Train: Rethinking Hybrid Quantum-Classical Machine Learning in the Model Compression Perspective

Reference 64

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source=arxiv_source observed=2026-08-05T19:15:33.373600Z digest=sha256:e4b10cec0c8b02a28157ae430b3ab9a5b471a5e9ff58cfe9d1ec0fd62fe78c85

Observation 3e14216d-eff5-469b-8003-d929b64bfc32 · outbound

This paper cites Qtrl: Toward practical quantum reinforcement learning via quantum-train.

Quantum Relational Knowledge Distillation Qtrl: Toward practical quantum reinforcement learning via quantum-train

Reference 65

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source=arxiv_source observed=2026-08-05T19:15:33.470156Z digest=sha256:ffa0b84a573e72cf25b97d5cab555f3126574f8f78ff3e04f6f5cec7668b8530

Observation cd9fae68-e4db-4272-b970-d5ba5736bb20 · outbound

This paper cites Quantum-train long short-term memory: Application on flood prediction problem.

Quantum Relational Knowledge Distillation Quantum-train long short-term memory: Application on flood prediction problem

Reference 66

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source=arxiv_source observed=2026-08-05T19:15:33.556474Z digest=sha256:21e1214e9134385cbe8504fec545fda7e773c5a69ad6d5c74c0c674139c9cd3e

Observation fa8fc60d-e4a2-4305-a43b-649df7138f8a · outbound

This paper cites Federated quantum-train with batched parameter generation.

Quantum Relational Knowledge Distillation Federated quantum-train with batched parameter generation

Reference 67

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source=arxiv_source observed=2026-08-05T19:15:33.655913Z digest=sha256:fb64d785df35de58e8600ab3d54ce35034e7593ac655e6d2f4c290b4248b9555

Observation 225891e8-b4cf-4e02-9cf9-dcf75f3f017a · outbound

This paper cites Quantum-train with tensor network mapping model and distributed circuit ansatz.

Quantum Relational Knowledge Distillation Quantum-train with tensor network mapping model and distributed circuit ansatz

Reference 68

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source=arxiv_source observed=2026-08-05T19:15:33.762512Z digest=sha256:ebe656c3a121e0d65421b039c32fb6b67b09081fa2856224d9294d0a498328ee

Observation 3d4a86a1-aa20-44d9-8588-e1f12bc3129c · outbound

This paper cites Quantum-trained convolutional neural network for deepfake audio detection.

Quantum Relational Knowledge Distillation Quantum-trained convolutional neural network for deepfake audio detection

Reference 69

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source=arxiv_source observed=2026-08-05T19:15:33.846922Z digest=sha256:6f9a712ad0d26b2d0ff0de73c51d38c6dc24c5dc7b992ac27e7264193b168830

Observation 6ce122d1-49f7-4a03-85e7-852a93f43087 · outbound

This paper cites Quantum-train-based distributed multi-agent reinforcement learning.

Quantum Relational Knowledge Distillation Quantum-train-based distributed multi-agent reinforcement learning

Reference 70

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source=arxiv_source observed=2026-08-05T19:15:34.007945Z digest=sha256:453557b2d9162f20587d3ae8d7dcc50ad763994f0912bc4235750b8502e150bf

Observation 4a323128-4926-4551-96df-83100618d297 · outbound

This paper cites Programming variational quantum circuits with quantum-train agent.

Quantum Relational Knowledge Distillation Programming variational quantum circuits with quantum-train agent

Reference 71

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source=arxiv_source observed=2026-08-05T19:15:34.136506Z digest=sha256:77b7d6510625effe5d081c190ea5efd21a3d05235b0e6dd71f1ceef0fb755689

Observation adbf36af-cd96-487f-ba10-5e51d38d427f · outbound

This paper cites Introduction to quantum-train toolkit.

Quantum Relational Knowledge Distillation Introduction to quantum-train toolkit

Reference 72

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source=arxiv_source observed=2026-08-05T19:15:34.291717Z digest=sha256:aef989530d6fc6394cbd42bf915a400990a5aac37153f63b71152083d888a8f5

Observation 357c589a-02df-4ba1-9600-d1720a3245ec · outbound

This paper cites Frame generation in hilbert space: Generative interpolation of measurement data for quantum parameter adaptation.

Quantum Relational Knowledge Distillation Frame generation in hilbert space: Generative interpolation of measurement data for quantum parameter adaptation

Reference 73

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source=arxiv_source observed=2026-08-05T19:15:34.429742Z digest=sha256:0c55386a432f1ad7b2602aac25e54d26f5c403be8f23efc42cd201f0d9b0e1de

Observation 16631ae8-8580-49f2-ac81-2c5a93bfc946 · outbound

This paper cites Quantum enhanced knowledge distillation.

Quantum Relational Knowledge Distillation Quantum enhanced knowledge distillation

Reference 74

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source=arxiv_source observed=2026-08-05T19:15:34.568794Z digest=sha256:a75afb4d42f64a2789dbff38b6929fc9e7bc65ae11b2ff8276bb475de28e8a42

Observation 8cdbaf87-49e3-4a95-8937-dc5f8d088046 · outbound

This paper cites Tensor networks for complex quantum systems.

Quantum Relational Knowledge Distillation Tensor networks for complex quantum systems

Reference 75

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source=arxiv_source observed=2026-08-05T19:15:34.649302Z digest=sha256:ad2ebe4b87c8b6cb6663090f81fb564bb20c2a9f93b55a54421c88fa91b3ea8c

Observation dbbdd07f-45b0-4920-bc12-fc10ab6ffbea · outbound

This paper cites Neural-network quantum states, string-bond states, and chiral topological states.

Quantum Relational Knowledge Distillation Neural-network quantum states, string-bond states, and chiral topological states

Reference 76

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source=arxiv_source observed=2026-08-05T19:15:34.755533Z digest=sha256:1b5f10f72ce2e16ae8b6511e0bb6b73b8afaad3c7fd799f578b7b7b955f29156

Pith citing papers

Observation 13cd093d-e21c-461a-8505-556e84ce6b82 · inbound

MerLin: A Discovery Engine for Photonic and Hybrid Quantum Machine Learning cites this paper.

MerLin: A Discovery Engine for Photonic and Hybrid Quantum Machine Learning Quantum Relational Knowledge Distillation

Reference 33

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arxiv_id, observed 2026-05-16T02:30:32.362420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-16T02:28:17.666888Z digest=sha256:cb6841130f6fb3658b189e256c67580bd9265403cd26881649c128d8c159b53a

Observation 4219f052-92e3-484c-aa42-6b9f8de91bd1 · inbound

Quantum-Gated Task-interaction Knowledge Distillation for Pre-trained Model-based Class-Incremental Learning cites this paper.

Quantum-Gated Task-interaction Knowledge Distillation for Pre-trained Model-based Class-Incremental Learning Quantum Relational Knowledge Distillation

Reference 19

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arxiv_id, observed 2026-05-11T08:20:58.161351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-10T16:43:09.418230Z digest=sha256:fb3c872345aabce6e65bc19679c53cb0c5001f9ebdca78f44a36e87edbd177e0