Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-08T05:55:32.603677Z
Paper Citation Record · LEDGER
As of 8 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 0 inbound Pith citation observations for arXiv:2608.05595.
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 2026-08-08T05:55:32.603677Z
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
A source-named dated measurement, never combined with another source.
Source: cited_works
27 of 27 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation c470f68f-eef1-4a08-a1f7-416f8ff677bf · outbound
How Much Reconstruction Does Quantum Machine Learning Need? Late Fusion of Independently Trained Quantum Subcircuits On quantum ensembles of quantum classifiers
Reference 1
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.
Observation 84f6a5cf-6f32-4137-93f2-befa627048c0 · outbound
How Much Reconstruction Does Quantum Machine Learning Need? Late Fusion of Independently Trained Quantum Subcircuits K.; Hossain, M
Reference 2
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.
Observation cade2be8-ba5f-4b25-b500-3b62c059f12b · outbound
How Much Reconstruction Does Quantum Machine Learning Need? Late Fusion of Independently Trained Quantum Subcircuits Multimodal Machine Learning: A Survey and Taxonomy
Reference 3
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2d21e574-e82b-405a-9a94-f52633f26f1e · outbound
How Much Reconstruction Does Quantum Machine Learning Need? Late Fusion of Independently Trained Quantum Subcircuits Better than classical? The subtle art of benchmarking quantum machine learning models
Reference 4
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 55b16635-7ab3-4663-ba6f-7f1f80cf2bec · outbound
How Much Reconstruction Does Quantum Machine Learning Need? Late Fusion of Independently Trained Quantum Subcircuits Unresolved cited work
Reference 5
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8cd61774-d5c3-4c99-be2a-e9be26b84464 · outbound
How Much Reconstruction Does Quantum Machine Learning Need? Late Fusion of Independently Trained Quantum Subcircuits Unresolved cited work
Reference 6
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.
Observation 6beeaabc-5142-431a-a3f7-d8221033e4f8 · outbound
How Much Reconstruction Does Quantum Machine Learning Need? Late Fusion of Independently Trained Quantum Subcircuits Unresolved cited work
Reference 7
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.
Observation 095c2e85-646a-4984-94ee-36058c4c63ee · outbound
How Much Reconstruction Does Quantum Machine Learning Need? Late Fusion of Independently Trained Quantum Subcircuits Circuit Knitting Faces Exponential Sampling Overhead Scaling Bounded by Entanglement Cost
Reference 8
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1526029e-e26e-47be-9e14-750c4389b753 · outbound
How Much Reconstruction Does Quantum Machine Learning Need? Late Fusion of Independently Trained Quantum Subcircuits Distributed Quantum Neural Networks via Partitioned Features Encoding
Reference 9
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.
Observation 35a53d55-18b4-4931-876e-ef356525763c · outbound
How Much Reconstruction Does Quantum Machine Learning Need? Late Fusion of Independently Trained Quantum Subcircuits Unresolved cited work
Reference 10
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.
Observation c4dce9ef-5c54-4ab3-be6c-cef0f59685a0 · outbound
How Much Reconstruction Does Quantum Machine Learning Need? Late Fusion of Independently Trained Quantum Subcircuits Unresolved cited work
Reference 11
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a96469a6-4669-43bd-9aa6-66d7f1687dba · outbound
How Much Reconstruction Does Quantum Machine Learning Need? Late Fusion of Independently Trained Quantum Subcircuits Unresolved cited work
Reference 12
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 46d66468-2723-4aaf-9e76-406c414ef4f3 · outbound
How Much Reconstruction Does Quantum Machine Learning Need? Late Fusion of Independently Trained Quantum Subcircuits Fast quantum circuit cutting with randomized measurements
Reference 13
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 19ab27e9-1ccc-4b1a-bb7d-f1b1d71c89c7 · outbound
How Much Reconstruction Does Quantum Machine Learning Need? Late Fusion of Independently Trained Quantum Subcircuits Cutting is All You Need: Execution of Large-Scale Quantum Neural Networks on Limited-Qubit Devices
Reference 14
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.
Observation 3c634160-be1b-41e5-a59f-2e7f7c1f892d · outbound
How Much Reconstruction Does Quantum Machine Learning Need? Late Fusion of Independently Trained Quantum Subcircuits High Dimensional Quantum Machine Learning With Small Quantum Computers
Reference 15
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.
Observation 7add7f5f-b639-47a8-ac69-b35c81b5c606 · outbound
How Much Reconstruction Does Quantum Machine Learning Need? Late Fusion of Independently Trained Quantum Subcircuits R.; Boixo, S.; Smelyanskiy, V
Reference 16
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.
Observation d7577b55-babd-4d03-8b1c-6586ec27b5ee · outbound
How Much Reconstruction Does Quantum Machine Learning Need? Late Fusion of Independently Trained Quantum Subcircuits Classical Ensembles of Single-Qubit Quantum Variational Circuits for Classification
Reference 17
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.
Observation 06813867-8529-4013-9221-c98820d5992c · outbound
How Much Reconstruction Does Quantum Machine Learning Need? Late Fusion of Independently Trained Quantum Subcircuits Constructing a virtual two-qubit gate by sampling single-qubit operations
Reference 18
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4b22ba66-a884-4941-b38e-ea68b05cb733 · outbound
How Much Reconstruction Does Quantum Machine Learning Need? Late Fusion of Independently Trained Quantum Subcircuits N.; Nguyen, P
Reference 19
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.
Observation 2c35feca-dd9c-4c2e-9838-8df5ab70fe06 · outbound
How Much Reconstruction Does Quantum Machine Learning Need? Late Fusion of Independently Trained Quantum Subcircuits Simulating Large Quantum Circuits on a Small Quantum Computer
Reference 20
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 946af41e-2bdb-4ec6-9f55-fe9d6ad3234a · outbound
How Much Reconstruction Does Quantum Machine Learning Need? Late Fusion of Independently Trained Quantum Subcircuits Circuit knitting with classical communication
Reference 21
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1fe422f5-853f-4006-b1b4-515ac1ba846d · outbound
How Much Reconstruction Does Quantum Machine Learning Need? Late Fusion of Independently Trained Quantum Subcircuits Quantum ensembles of quantum classifiers
Reference 22
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 41113bc5-9434-4b8d-886a-76f3460090ab · outbound
How Much Reconstruction Does Quantum Machine Learning Need? Late Fusion of Independently Trained Quantum Subcircuits DistributedEstimator: Distributed Training of Quantum Neural Networks via Circuit Cutting
Reference 23
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.
Observation 8fb5168c-40fb-4d4e-8a7c-9c5757679840 · outbound
How Much Reconstruction Does Quantum Machine Learning Need? Late Fusion of Independently Trained Quantum Subcircuits G.; Worring, M.; and Smeulders, A
Reference 24
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.
Observation 92b9a26a-58a9-4356-8946-f7438186aded · outbound
How Much Reconstruction Does Quantum Machine Learning Need? Late Fusion of Independently Trained Quantum Subcircuits CutQC: Using Small Quantum Computers for Large Quantum Circuit Evaluations
Reference 25
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.
Observation 5ec238c1-c830-474a-a968-25f477812370 · outbound
How Much Reconstruction Does Quantum Machine Learning Need? Late Fusion of Independently Trained Quantum Subcircuits Optimal joint cutting of two-qubit rotation gates
Reference 26
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.
Observation 511c0bee-20d9-4a9b-9f44-bf035aa9d98f · outbound
How Much Reconstruction Does Quantum Machine Learning Need? Late Fusion of Independently Trained Quantum Subcircuits Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms
Reference 27
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
No inbound Pith citation observations are available.