Pith. sign in

Paper Citation Record · LEDGER

How Much Reconstruction Does Quantum Machine Learning Need? Late Fusion of Independently Trained Quantum Subcircuits

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.

pith.paper-citation-record.v1
2608.05595 v1

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T05:55:32.603677Z

measured 27 of 27 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

27 of 27 outbound references displayed

  • verified exact8
  • verified fuzzy3
  • unresolved15
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c470f68f-eef1-4a08-a1f7-416f8ff677bf · outbound

This paper cites On quantum ensembles of quantum classifiers.

How Much Reconstruction Does Quantum Machine Learning Need? Late Fusion of Independently Trained Quantum Subcircuits On quantum ensembles of quantum classifiers

Reference 1

Resolution
verified exact
local_arxiv, observed 2026-08-08T05:55:36.231972Z

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=arxiv_source observed=2026-08-08T05:55:32.484994Z digest=sha256:6e5aab789c1e7fac9d9da069b934b383cb95208948d5017bb1237a05eb9dfddd

Observation 84f6a5cf-6f32-4137-93f2-befa627048c0 · outbound

This paper cites K.; Hossain, M.

How Much Reconstruction Does Quantum Machine Learning Need? Late Fusion of Independently Trained Quantum Subcircuits K.; Hossain, M

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T05:55:36.326310Z

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=arxiv_source observed=2026-08-08T05:55:32.491502Z digest=sha256:80ab8bf7757b4cfff303170788bddf78138aa21400431c6767e05ca67ace0311

Observation cade2be8-ba5f-4b25-b500-3b62c059f12b · outbound

This paper cites Multimodal Machine Learning: A Survey and Taxonomy.

How Much Reconstruction Does Quantum Machine Learning Need? Late Fusion of Independently Trained Quantum Subcircuits Multimodal Machine Learning: A Survey and Taxonomy

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-08T05:55:32.496047Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T05:55:32.496047Z digest=sha256:47c2355c5b9aaa8152c476e6d3cb3b06650f6a28824ec4a882c8b33b8d079932

Observation 2d21e574-e82b-405a-9a94-f52633f26f1e · outbound

This paper cites Better than classical? The subtle art of benchmarking quantum machine learning models.

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

Resolution
unresolved
no resolver link, observed 2026-08-08T05:55:32.500858Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T05:55:32.500858Z digest=sha256:ba3e09ab816d4f6b3a66ac23ddfec799a26bd274b9148ffa53205a477b13ab33

Observation 55b16635-7ab3-4663-ba6f-7f1f80cf2bec · outbound

This paper cites an unresolved cited work.

How Much Reconstruction Does Quantum Machine Learning Need? Late Fusion of Independently Trained Quantum Subcircuits Unresolved cited work

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-08T05:55:32.505666Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T05:55:32.505666Z digest=sha256:55756a0c16b6bd284ca925af3dbadcb61a57d6730bdea3567ba34b392692b0d4

Observation 8cd61774-d5c3-4c99-be2a-e9be26b84464 · outbound

This paper cites an unresolved cited work.

How Much Reconstruction Does Quantum Machine Learning Need? Late Fusion of Independently Trained Quantum Subcircuits Unresolved cited work

Reference 6

Resolution
unresolved
raw_fallback, observed 2026-08-08T05:55:36.312130Z

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=arxiv_source observed=2026-08-08T05:55:32.509993Z digest=sha256:021f98ad4d443ccc16a935919790a4a3ad1ab9658c26954bba72e2177a2cae62

Observation 6beeaabc-5142-431a-a3f7-d8221033e4f8 · outbound

This paper cites an unresolved cited work.

How Much Reconstruction Does Quantum Machine Learning Need? Late Fusion of Independently Trained Quantum Subcircuits Unresolved cited work

Reference 7

Resolution
unresolved
raw_fallback, observed 2026-08-08T05:55:36.297495Z

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=arxiv_source observed=2026-08-08T05:55:32.515075Z digest=sha256:7ffc37d28b3a88da8312a7f06daadd33b5f0c9a7737dc831aa63ff2d3db39b89

Observation 095c2e85-646a-4984-94ee-36058c4c63ee · outbound

This paper cites Circuit Knitting Faces Exponential Sampling Overhead Scaling Bounded by Entanglement Cost.

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

Resolution
unresolved
no resolver link, observed 2026-08-08T05:55:32.519179Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T05:55:32.519179Z digest=sha256:62ac36be2afc231b7b95c55c17dd1a30d43e96a3ce70883d229780495dd15ec7

Observation 1526029e-e26e-47be-9e14-750c4389b753 · outbound

This paper cites Distributed Quantum Neural Networks via Partitioned Features Encoding.

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

Resolution
verified exact
local_arxiv, observed 2026-08-08T05:55:35.973218Z

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=arxiv_source observed=2026-08-08T05:55:32.523686Z digest=sha256:1a6da0d9f99b028fc38e632e9529561b760a83771ec3a760d4a83f23b4305df9

Observation 35a53d55-18b4-4931-876e-ef356525763c · outbound

This paper cites an unresolved cited work.

How Much Reconstruction Does Quantum Machine Learning Need? Late Fusion of Independently Trained Quantum Subcircuits Unresolved cited work

Reference 10

Resolution
unresolved
raw_fallback, observed 2026-08-08T05:55:36.283473Z

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=arxiv_source observed=2026-08-08T05:55:32.528348Z digest=sha256:39ec5d459d7af2a10a76f9f256196bfd5801fc083072839b94458809e3cc60b9

Observation c4dce9ef-5c54-4ab3-be6c-cef0f59685a0 · outbound

This paper cites an unresolved cited work.

How Much Reconstruction Does Quantum Machine Learning Need? Late Fusion of Independently Trained Quantum Subcircuits Unresolved cited work

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-08T05:55:32.532500Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T05:55:32.532500Z digest=sha256:3295409d25acfcb4080d931a0a32d342a1f0fe8293919d65c036c1cf2e024d40

Observation a96469a6-4669-43bd-9aa6-66d7f1687dba · outbound

This paper cites an unresolved cited work.

How Much Reconstruction Does Quantum Machine Learning Need? Late Fusion of Independently Trained Quantum Subcircuits Unresolved cited work

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-08T05:55:32.536685Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T05:55:32.536685Z digest=sha256:be28e818c76607e495c8659bc9003dfd3d1199e1af14157ca7ee04d22b85d547

Observation 46d66468-2723-4aaf-9e76-406c414ef4f3 · outbound

This paper cites Fast quantum circuit cutting with randomized measurements.

How Much Reconstruction Does Quantum Machine Learning Need? Late Fusion of Independently Trained Quantum Subcircuits Fast quantum circuit cutting with randomized measurements

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-08T05:55:32.540773Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T05:55:32.540773Z digest=sha256:4426479355f7418de7afabf38c55468c5fd6d51c1724642e2dda0f75c634e2d3

Observation 19ab27e9-1ccc-4b1a-bb7d-f1b1d71c89c7 · outbound

This paper cites Cutting is All You Need: Execution of Large-Scale Quantum Neural Networks on Limited-Qubit Devices.

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

Resolution
verified exact
local_arxiv, observed 2026-08-08T05:55:33.029034Z

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=arxiv_source observed=2026-08-08T05:55:32.545257Z digest=sha256:1373618f392009a8fb6e8368282863fb48a8e62d638a2b968835997394730ab2

Observation 3c634160-be1b-41e5-a59f-2e7f7c1f892d · outbound

This paper cites High Dimensional Quantum Machine Learning With Small Quantum Computers.

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

Resolution
metadata mismatch
local_arxiv, observed 2026-08-08T05:55:33.008446Z

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=arxiv_source observed=2026-08-08T05:55:32.549851Z digest=sha256:1a2d3a65e62c2870a99612408ecb17a8a13fbc6cdea9286bf248b83d66a5216b

Observation 7add7f5f-b639-47a8-ac69-b35c81b5c606 · outbound

This paper cites R.; Boixo, S.; Smelyanskiy, V.

How Much Reconstruction Does Quantum Machine Learning Need? Late Fusion of Independently Trained Quantum Subcircuits R.; Boixo, S.; Smelyanskiy, V

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T05:55:36.259531Z

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=arxiv_source observed=2026-08-08T05:55:32.554254Z digest=sha256:ee516b08e2951e2176e6c7bb9f6191bfbd53b2976bb3296f7ee5044956c96690

Observation d7577b55-babd-4d03-8b1c-6586ec27b5ee · outbound

This paper cites Classical Ensembles of Single-Qubit Quantum Variational Circuits for Classification.

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

Resolution
verified exact
local_arxiv, observed 2026-08-08T05:55:32.987282Z

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=arxiv_source observed=2026-08-08T05:55:32.558513Z digest=sha256:e76ea3698c7e1a83e6ec569e179e005fd66fcc0a32d101227b749fb063f4e157

Observation 06813867-8529-4013-9221-c98820d5992c · outbound

This paper cites Constructing a virtual two-qubit gate by sampling single-qubit operations.

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

Resolution
unresolved
no resolver link, observed 2026-08-08T05:55:32.563259Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T05:55:32.563259Z digest=sha256:6825c856f75cc8b788ea82c3dd58c2be26042a48d644f208e0c8f4c116177e33

Observation 4b22ba66-a884-4941-b38e-ea68b05cb733 · outbound

This paper cites N.; Nguyen, P.

How Much Reconstruction Does Quantum Machine Learning Need? Late Fusion of Independently Trained Quantum Subcircuits N.; Nguyen, P

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-08-08T05:55:32.950876Z

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=arxiv_source observed=2026-08-08T05:55:32.567746Z digest=sha256:056a0a00aba68040d59dda0259a7302d814242091d3da71f6945d5964f37c0e9

Observation 2c35feca-dd9c-4c2e-9838-8df5ab70fe06 · outbound

This paper cites Simulating Large Quantum Circuits on a Small Quantum Computer.

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

Resolution
unresolved
no resolver link, observed 2026-08-08T05:55:32.571950Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T05:55:32.571950Z digest=sha256:bc3c4f82fd3de63f7c28363d1a683cedfca5d5e41d7c31967a72fc53783a0bd2

Observation 946af41e-2bdb-4ec6-9f55-fe9d6ad3234a · outbound

This paper cites Circuit knitting with classical communication.

How Much Reconstruction Does Quantum Machine Learning Need? Late Fusion of Independently Trained Quantum Subcircuits Circuit knitting with classical communication

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-08T05:55:32.576470Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T05:55:32.576470Z digest=sha256:ddd93d7f90131bb5cd7228291911da2ccd454411ffcd6387948dec30ba2da631

Observation 1fe422f5-853f-4006-b1b4-515ac1ba846d · outbound

This paper cites Quantum ensembles of quantum classifiers.

How Much Reconstruction Does Quantum Machine Learning Need? Late Fusion of Independently Trained Quantum Subcircuits Quantum ensembles of quantum classifiers

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-08T05:55:32.581077Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T05:55:32.581077Z digest=sha256:23c4a05c27fb4323e3746ee27340041698e4a8b7bb5d6e06baedbf09e17fc4f7

Observation 41113bc5-9434-4b8d-886a-76f3460090ab · outbound

This paper cites DistributedEstimator: Distributed Training of Quantum Neural Networks via Circuit Cutting.

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

Resolution
verified exact
local_arxiv, observed 2026-08-08T05:55:32.702961Z

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=arxiv_source observed=2026-08-08T05:55:32.585572Z digest=sha256:1dbf55a4593f0d441172f923ab1ac337aa1b66a68332897bdc0713984b1285ef

Observation 8fb5168c-40fb-4d4e-8a7c-9c5757679840 · outbound

This paper cites G.; Worring, M.; and Smeulders, A.

How Much Reconstruction Does Quantum Machine Learning Need? Late Fusion of Independently Trained Quantum Subcircuits G.; Worring, M.; and Smeulders, A

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T05:55:36.245807Z

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=arxiv_source observed=2026-08-08T05:55:32.590082Z digest=sha256:df162bcebc7eb8192cf69cfaec7d32f39896d9af947658860743d33ffb3057b6

Observation 92b9a26a-58a9-4356-8946-f7438186aded · outbound

This paper cites CutQC: Using Small Quantum Computers for Large Quantum Circuit Evaluations.

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

Resolution
verified exact
local_arxiv, observed 2026-08-08T05:55:32.682214Z

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=arxiv_source observed=2026-08-08T05:55:32.594419Z digest=sha256:30c21069f9280fd1f58b56d8eaabd69a271c971840f136571f57bec87a794e35

Observation 5ec238c1-c830-474a-a968-25f477812370 · outbound

This paper cites Optimal joint cutting of two-qubit rotation gates.

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

Resolution
verified exact
local_arxiv, observed 2026-08-08T05:55:32.661307Z

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=arxiv_source observed=2026-08-08T05:55:32.599167Z digest=sha256:d180be539ecf8f84ce79454f92cebb1e422c246ebd645a17280fc90604fd8e10

Observation 511c0bee-20d9-4a9b-9f44-bf035aa9d98f · outbound

This paper cites Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms.

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

Resolution
unresolved
no resolver link, observed 2026-08-08T05:55:32.603677Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T05:55:32.603677Z digest=sha256:64fdcd7b0b4e8acfc5093a2429cd8417422ca79ff57d565820c77546c7f3d721

Pith citing papers

No inbound Pith citation observations are available.