Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-05T19:15:34.755533Z
Paper Citation Record · LEDGER
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.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-05T19:15:34.755533Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-05-16T02:28:17.666888Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-16T02:30:32.358791Z
76 of 76 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 37faa810-fa8c-47c9-b43c-259f1b374447 · outbound
Quantum Relational Knowledge Distillation A survey of convolutional neural networks: analysis, applications, and prospects
Reference 1
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Observation 4fd291ff-7c83-4b0d-9146-6ed8f2e39cc3 · outbound
Quantum Relational Knowledge Distillation Language models are unsupervised multitask learners
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Observation d27445c9-4b05-46c7-af4d-22df0648fe8c · outbound
Quantum Relational Knowledge Distillation Awq: Activation-aware weight quantization for on-device llm compression and acceleration
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Observation 98d815f8-d5d0-4829-acd7-bac57663e119 · outbound
Quantum Relational Knowledge Distillation Distilling the Knowledge in a Neural Network
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Observation d8fda963-2d3e-47ba-8f97-d8b89ae43a7d · outbound
Quantum Relational Knowledge Distillation Like What You Like: Knowledge Distill via Neuron Selectivity Transfer
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Quantum Relational Knowledge Distillation Data-Free Knowledge Distillation for Deep Neural Networks
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Observation 3cf63ad8-d1ce-4bd9-8a68-cbb051d40ae4 · outbound
Quantum Relational Knowledge Distillation Unifying distillation and privileged information
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Observation 9de2cb90-76e4-4c24-876b-efc89c71394d · outbound
Quantum Relational Knowledge Distillation Relational knowledge distillation
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Observation e954a3bc-a21b-49a2-8cd2-bf84d0e7f3d8 · outbound
Quantum Relational Knowledge Distillation An introduction to quantum machine learning
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Quantum Relational Knowledge Distillation Quantum machine learning
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Quantum Relational Knowledge Distillation Training classical neural networks by quantum machine learning
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Observation 4cf2dfdb-e5a2-47b7-99a5-f303d1eabd71 · outbound
Quantum Relational Knowledge Distillation A quantum circuit-based compression perspective for parameter-efficient learning
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Observation c0333c6a-4591-488f-a5bb-ee99c29d9eae · outbound
Quantum Relational Knowledge Distillation Quantum machine learning in feature hilbert spaces
Reference 13
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Observation 60cbf489-ba98-44c2-8e9c-1e4b14b456ae · outbound
Quantum Relational Knowledge Distillation Supervised learning with quantum-enhanced feature spaces
Reference 14
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Observation 1dc5ec50-cd22-4434-9afd-221ae36e25af · outbound
Quantum Relational Knowledge Distillation Power of data in quantum machine learning
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Observation 8ee9d40f-cbd9-4aaf-a54f-f2d945f2e0f6 · outbound
Quantum Relational Knowledge Distillation Similarity of neural network representations revisited
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Observation d856ef34-b212-4cd5-886d-7ac71d3d2d77 · outbound
Quantum Relational Knowledge Distillation A kernel perspective on distillation-based collaborative learning
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Observation 40057502-11e4-4bea-a339-e1f3910b9a0f · outbound
Quantum Relational Knowledge Distillation Rethinking centered kernel alignment in knowledge distillation
Reference 18
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Observation 3855df1b-4915-4a9b-a3a1-ebcd65ceca62 · outbound
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
Quantum Relational Knowledge Distillation Exponential concentration in quantum kernel methods
Reference 20
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Observation 4610d1bc-7583-4e29-9f0f-d56518b9a0c5 · outbound
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
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
Quantum Relational Knowledge Distillation A training algorithm for optimal margin classifiers
Reference 23
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Observation 18ddb8e0-875c-48e9-bd49-2a583d932d03 · outbound
Quantum Relational Knowledge Distillation Pointer Sentinel Mixture Models
Reference 24
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Observation 59be61b4-5c48-4e55-9e28-c8984a6853b7 · outbound
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
Quantum Relational Knowledge Distillation Learning word vectors for sentiment analysis
Reference 26
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Observation 7ff43cbe-cdfc-42a6-ab6e-34df6d4c168a · outbound
Quantum Relational Knowledge Distillation Quantum Knowledge Distillation for Large Language Models
Reference 27
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Observation ccd2a422-ce7d-4888-829a-942d023d7427 · outbound
Quantum Relational Knowledge Distillation Quantum computation and quantum information
Reference 28
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Quantum Relational Knowledge Distillation Unresolved cited work
Reference 29
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Reference 30
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Quantum Relational Knowledge Distillation Unresolved cited work
Reference 31
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Observation 50693405-6e28-4194-916b-7653bf0ec1e9 · outbound
Quantum Relational Knowledge Distillation Learning phase transitions from dynamics
Reference 32
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Quantum Relational Knowledge Distillation Probing many-body localization with neural networks
Reference 33
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Observation b8e158bc-cc90-4e6a-ae8e-3c3b34b39d19 · outbound
Quantum Relational Knowledge Distillation Machine learning the thermodynamic arrow of time
Reference 34
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Observation bc3e2365-6df8-46ec-97bb-6a51bab2d0e4 · outbound
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
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
Quantum Relational Knowledge Distillation Quantum machine learning: a classical perspective
Reference 37
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Observation a6aea769-9f4e-420e-b8d5-3f1bfefd9d63 · outbound
Quantum Relational Knowledge Distillation Quantum machine learning in feature hilbert spaces
Reference 38
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Observation 7aa1083f-6bf1-4d74-972e-ced60316739b · outbound
Quantum Relational Knowledge Distillation Unresolved cited work
Reference 39
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Observation 2210c5c5-6eb6-40c7-9b05-1bfdf908ab16 · outbound
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
Quantum Relational Knowledge Distillation Olson, Matthias Degroote, Peter D
Reference 41
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Observation 08603555-a7c3-4e56-bf9b-fd3151e108b4 · outbound
Quantum Relational Knowledge Distillation Quantum-enhanced support vector machine for large-scale multi-class stellar classification
Reference 42
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Observation fff92fee-5825-4390-9920-5cb3d1da961b · outbound
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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Observation d73812f2-eb36-459e-8c52-08c4ad7423c1 · outbound
Quantum Relational Knowledge Distillation Reinforcement learning quantum local search
Reference 44
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Observation cf7652c8-11da-4202-84f6-92e0dbb266d8 · outbound
Quantum Relational Knowledge Distillation Practical quantum search by variational quantum eigensolver on noisy intermediate-scale quantum hardware
Reference 45
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Observation c4f80f51-be60-4be8-9a63-aac3c6511e6a · outbound
Quantum Relational Knowledge Distillation Quantum natural language processing on near-term quantum computers
Reference 46
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Observation bff37d98-e893-438a-9f49-d324669a1a2e · outbound
Quantum Relational Knowledge Distillation Implementation of trained factorization machine recommendation system on quantum annealer
Reference 47
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Observation 8c2c7612-30e4-4512-ac62-2541c09a90be · outbound
Quantum Relational Knowledge Distillation Quantum Recommendation Systems
Reference 48
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Quantum Relational Knowledge Distillation Quantum generative adversarial networks
Reference 49
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Observation bee9085c-4e4d-4d84-9bf2-10eb75943526 · outbound
Quantum Relational Knowledge Distillation Learnability of quantum neural networks
Reference 50
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Quantum Relational Knowledge Distillation Unresolved cited work
Reference 51
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Observation 0a04175c-13a1-4f7e-9033-b7889707f1dc · outbound
Quantum Relational Knowledge Distillation Expressive power of parametrized quantum circuits
Reference 52
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Observation 249aaca1-5835-410c-bcf5-4c8633e3e6db · outbound
Quantum Relational Knowledge Distillation Learning quantum phase estimation by variational quantum circuits
Reference 53
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Observation a7f63ab7-7a0d-46b9-95a1-0646025e19b8 · outbound
Quantum Relational Knowledge Distillation Escaping from the barren plateau via gaussian initializations in deep variational quantum circuits
Reference 54
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Observation 80973ae7-b93f-4e15-93c8-1c782bebb99b · outbound
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Reference 55
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Reference 56
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Observation 314c56b1-16fd-43e0-bd3f-aa4bf13d4aa5 · outbound
Quantum Relational Knowledge Distillation Quantum noise protects quantum classifiers against adversaries
Reference 57
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Observation a2caa18c-1b79-4918-99f4-cca4d7c6be3c · outbound
Quantum Relational Knowledge Distillation The complexity of nisq
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Quantum Relational Knowledge Distillation Bromley, Josh Izaac, Maria Schuld, and Nathan Killoran
Reference 59
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Observation 19d90b58-45e4-47fc-8038-913ace5b0c97 · outbound
Quantum Relational Knowledge Distillation Quantum federated learning with quantum networks
Reference 60
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Quantum Relational Knowledge Distillation Parametrized quantum policies for reinforcement learning
Reference 61
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Observation a85dce27-a78e-40cf-bfc7-8fedca7fc551 · outbound
Quantum Relational Knowledge Distillation Quantum agents in the gym: a variational quantum algorithm for deep q-learning
Reference 62
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Observation dcf12e4b-b636-4536-9b0c-12f4c3993d51 · outbound
Quantum Relational Knowledge Distillation Variational quantum circuits for deep reinforcement learning
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Quantum Relational Knowledge Distillation Quantum-Train: Rethinking Hybrid Quantum-Classical Machine Learning in the Model Compression Perspective
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Quantum Relational Knowledge Distillation Federated quantum-train with batched parameter generation
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Reference 70
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Quantum Relational Knowledge Distillation Programming variational quantum circuits with quantum-train agent
Reference 71
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Quantum Relational Knowledge Distillation Introduction to quantum-train toolkit
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Quantum Relational Knowledge Distillation Frame generation in hilbert space: Generative interpolation of measurement data for quantum parameter adaptation
Reference 73
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Observation 16631ae8-8580-49f2-ac81-2c5a93bfc946 · outbound
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Quantum Relational Knowledge Distillation Tensor networks for complex quantum systems
Reference 75
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Quantum Relational Knowledge Distillation Neural-network quantum states, string-bond states, and chiral topological states
Reference 76
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Observation 13cd093d-e21c-461a-8505-556e84ce6b82 · inbound
MerLin: A Discovery Engine for Photonic and Hybrid Quantum Machine Learning Quantum Relational Knowledge Distillation
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Observation 4219f052-92e3-484c-aa42-6b9f8de91bd1 · inbound
Quantum-Gated Task-interaction Knowledge Distillation for Pre-trained Model-based Class-Incremental Learning Quantum Relational Knowledge Distillation
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