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Paper Citation Record · LEDGER

Quantum Relational Knowledge Distillation

As of 8 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 2026-08-08T06:32:00.761636+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

  • verified exact0
  • verified fuzzy0
  • unresolved76
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

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=sha256:969963459987eee03f90628689935f0760ea311647d8d9574a3ac002828ef033

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:f6e4a1d2c4f8f2a7ac925168055855ad688f74f436503cff19437241dd0a5e47

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:c2fbbe66a1ecd1b6564308f7e1477f62ab89722bb8acfede6e41b2757ca7307d

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:b0159ddf3d73f5f0a44af8bee61b3a2387c4c3aba93d95a745ae7a772da8673b

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=sha256:0c47b0211971159209947c6bc9fa809dfadb19a94714ae93ccb9bc084568f6e7

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:b2667e13403940d66a3c98a7f042f10111a6ad3788b14be1369aa7f29dfef0d4

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:b46f21c080bfd2d5ed90f56e4f6cc24858ff929e2bb3afc0145f1329136592ca

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:f580d2bda57d7f41f679c3a70fd9530507878e50a77efe42ef7ad69dc152a96b

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:ac2520adde50146898772bc1e409be001331764a9893f2da0e4c5119bd538c92

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:d44e7d626daf951f733c5b963a7c4cb9a227ec3a1b836a779e479025b3889006

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=sha256:69b16c7b82014cf99af311d659c99c9a843d5ef5fd68de88ce7997882d9f31b6

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:dd2252833d791abc661e7e812327be5d7cb9f080338fd535b3d645e512ae35df

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:c5b897c8b3f93855234f8e84a45a2e3abba941c22aca91a1f1961833eaaf11e2

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:d44a0a1c6234eeb2be060ad42a6d317712632e727b3d45970bbf685d4b57069f

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=sha256:2b5895a70965381de9b4e2f39c893f311ccb3db510a1475183f3b29ce4fb9c24

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=sha256:090e48e957980f99b65472e56886dd0e06a6d7ccf2c9a24d3f0e63f4b7dbcd04

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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source=arxiv_source observed=2026-08-05T19:15:31.453091Z digest=sha256:e7aefe0819f1cf1e7138458e6f009a239f7bf491b8d5cc70aaa9b2d56c8db353

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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source=arxiv_source observed=2026-08-05T19:15:31.473984Z digest=sha256:7e7d656daec822425f0c67e0936a686392510c883192beb5c5640f1a0a622182

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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source=arxiv_source observed=2026-08-05T19:15:31.503396Z digest=sha256:f73cd9e5079bb03184ff41fbe80a0c8900699049c059817b64eda0b3b0e6a2e9

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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source=arxiv_source observed=2026-08-05T19:15:31.546289Z digest=sha256:8dbf7b48cc04f44c6b87afac0bf2c7ba60a4037952591f2f34f21cdd4afd905f

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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source=arxiv_source observed=2026-08-05T19:15:31.568947Z digest=sha256:c83e4ddd097794c6daeff7b47527a9a5710b6c72948b0a7d26b660dce185399d

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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source=arxiv_source observed=2026-08-05T19:15:31.605070Z digest=sha256:d3928ad41d4418193f6e0a8a25387ec9d25e1816b6509ac5717becb53c4954c2

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:bc0f53242de0f09c06df035a111dd0300e652aaf9c778bd12a71322b772e9c21

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=sha256:69cac4c303f4c36b42cc288b4c4cb3a4ca89169aa5a71b05349cc443248f1896

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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source=arxiv_source observed=2026-08-05T19:15:31.649522Z digest=sha256:3f90e531de9f846b597d5ebf41d21e77b3f98765abd4be5aed4af2ed594ab5c5

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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source=arxiv_source observed=2026-08-05T19:15:31.658597Z digest=sha256:be7eae12cf0f57e4e96d3780e226f28d1e57c9e9f8d6a43e87b5904e3d7022ef

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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source=arxiv_source observed=2026-08-05T19:15:31.670393Z digest=sha256:2f30c073559150e212d8ee7071ec15f447a6fb220b1a16c73e81096d4de20635

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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source=arxiv_source observed=2026-08-05T19:15:31.680906Z digest=sha256:b89ff540cff5af73c6c34f2f3fefa0350145d42fb9df582ada11fe7d93fb4d9a

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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source=arxiv_source observed=2026-08-05T19:15:31.689093Z digest=sha256:5f337c5cd8a82b57f101aadaa16cd370b22e6cb571cbefaf4c05367150098b76

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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source=arxiv_source observed=2026-08-05T19:15:31.707357Z digest=sha256:2ac351a51746a1867f477ba4303284fd0ffbbea55ee2ce740bc42c7dfce644fa

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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source=arxiv_source observed=2026-08-05T19:15:31.717917Z digest=sha256:fa739a586b9b93d04f9a848473d73001be11c4972d421a2240fab52ef2e739c5

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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source=arxiv_source observed=2026-08-05T19:15:31.723825Z digest=sha256:8e3326959605f800ced80069a5af27e484df498145d33257fbe8c9eca7152e02

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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source=arxiv_source observed=2026-08-05T19:15:31.731564Z digest=sha256:36a524e2b3ee7c5277235c50a99b632dffda3a930c8d1e2989389721616c6bb9

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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source=arxiv_source observed=2026-08-05T19:15:31.738175Z digest=sha256:d5c3d164be5c46a38971daa0eb00b1e1d09052dc84edd002add574903e289141

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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source=arxiv_source observed=2026-08-05T19:15:31.744202Z digest=sha256:8c6c1087b2ee4bad92e4899473a2635b2c296bd1814f1c18ac528d6aa2a5ecee

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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source=arxiv_source observed=2026-08-05T19:15:31.751355Z digest=sha256:5f0a77db3e06920344347442d573a4e876eb2ff7bbfa9dec8c2751fcb3e74d42

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:c62d80f9c452692d9ce0ac016137a07e55f808f16438678bc7d42e197cb50a3d

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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source=arxiv_source observed=2026-08-05T19:15:31.767603Z digest=sha256:6bf2fd51d20de6538c335de65247f60d46308b24e41e78b5acc4e322128c327c

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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source=arxiv_source observed=2026-08-05T19:15:31.775673Z digest=sha256:7f64fcfd0f9d2981d12df752f342956de1370a3d796c442a58aa55490ac950a0

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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source=arxiv_source observed=2026-08-05T19:15:31.794640Z digest=sha256:82606815ec951731191b9be5b6d8a8dd4af507452c1da70b42cb8d3cc8b6f74e

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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source=arxiv_source observed=2026-08-05T19:15:31.805544Z digest=sha256:524195b8bf49a5b6eb7d0719ad6c232a8b49379543bd4d88913223fa4eb20b0a

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:f693954f9e07cfa93718d94d2351db812b149a2a7c38a87a17a6ba684b9cefc4

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:df42431415e7137a6af06fa960168a96b11e4a27bbdd624b5dd0b6278df01d0a

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=sha256:406819f49a44630290764ad73a9a79546c1a5dd36ade1a02ceb25b322d6a9cc4

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=sha256:665aa5deaf76558ea5e7a4414fc9b16d9f4484e6ac636164f9e35413bfd8cae8

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=sha256:78ebc2b1d4a67a2452f3f270c2b2770389c47e4016970701caea76c5ed6832b9

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=sha256:0dd49b4090af45dc1c13fc84db4e93590d0472b1d31a0c22a1830a92bfb8238c

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=sha256:66704c2af946518aa770440763165f70cf9415249f0dafb885f2fa590d09e136

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=sha256:51986d501d8c44de48b16edd8ab5265d992cef279138cc092a2b59a2c26a0ecd

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=sha256:350caf0c24b1ca9e0f46a92aa113185656eaa46453ff537960dd067b6a10f710

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=sha256:076cdd4ad96ce0b68aed2d44e3715ea0ed7841c6f0d14b55acbfd3177315f582

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=sha256:78f4b15602b5d14f698afad08d0a6d8811413dc84542e9e87275a5e723d425f6

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=sha256:7311a500cda989813986735b6c2dcd6b49c47a7c30bde8c9817179e232639c3e

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=sha256:4691668831b216611a5873672ba5efc5a0753a224aa43781fcf821dfb9e98506

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=sha256:14a7ef03d99cefdd97bbebdedfd14a7ab784a0a68c7df0e306b4edfd09008682

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:bec943f73000012fa41eb8f8cbd1fc073f9fdbb7013bacc8077d8c1c78bb9c11

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=sha256:8d71742bd417f41bd4bd66c82a0df5f880cf717942054d84406b2e95d85401fe

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:f5caf9788269cf36068d658d7c48c0bf701c61db6fb18b1923f923cc41caf5bb

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=sha256:28c9dec712fafeb914cbcb0f5b07444f447d51d2d9e90273a2c1f7c08d4a46c7

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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source=arxiv_source observed=2026-08-05T19:15:32.986851Z digest=sha256:3f25d3574f0068ddd30baabc3207e1bc1ff138e8bbc59f0754b09eb31e4eaa5f

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=sha256:80136003f98dbc01881759d8ddcbd152db9ad1bc0f4216e5409591a9bc0e73fc

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=sha256:4b837172576aa239f8a30bfa9cc7be4d329c68141501eb816f353a2d124982e1

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=sha256:83fff24ab608ed3fc08af19fb2878814bfd4944697b758222a724c582f135653

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=sha256:8cb7ffb3612de8267e4c1e629b2c8723b3eaa90de6eb69ca508087ab70a62fbb

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=sha256:5fa8359fc29551a9be8b7702ea7820e233fa5dc7217a36128cfa96df65abba9f

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=sha256:221c616ef59ffe0d0a96ff091e7a64f629020d63b0ced6ad8712dd6834622ee8

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:deb7b827daf2d0cf9e99b89e01ecf044b83b04d8fb47176a8d6bda6b6e70ddef

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=sha256:889fa31763c28a4211ca3dcd4c0e22718ff07a059b61deddba7a18b1beacf7ba

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:cdb9a7a9febd46fc56ce4bfafa0d778a28b0d26e9546583fe05d234e1f02cd57

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=sha256:9aef7923b9d42a07c2f59c812b2d0ecf4ca6539e9ca59881897f79304ab85410

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:da4c6e873edcdf4c006b5a8d6047a05235ccca57d9a5bcce57b9ecda0ddae6a7

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=sha256:78897f4eef418d7b3e60c7aef5532aa557676fdb3692c7aca97d2cbde54a858c

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=sha256:6f1624950713c6a01a9a29d88f9f119baf88fb34e3a112dc30c4dcf92de4be63

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:d2a46940ec0426726d343a0ccc59d153d5da7aefb3dc7983488ee196aa325d65

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:d598d1231abb0123485162d04368a9da8ddc853b1be0a7de37dfc45bcb6b6186

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:cc22d45f4ea4b5f85c729e4ab693a046e5dabeae1dff0ad04ac53a8f327fdb54

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-16T02:28:17.666888Z digest=sha256:324ad5227821e7f7c5ef5d6282a6a2f91baaf9d88b3e34cfe377d52bef3677ba

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T16:43:09.418230Z digest=sha256:51cc47c6bd250ea616c1083338d3d6e6ff6629e033b390526ecf48c81c4ec916