Pith. sign in

Paper Citation Record · LEDGER

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

As of 10 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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-08T05:55:32.484994Z digest=sha256:d6756c373189803841d407916e9f03f95601101360e9bcec1b5a3fd99dc56f26

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-08T05:55:32.491502Z digest=sha256:b7845a8cc58909c14d8f013e8850df2bf5275610b7fa08293d8d9bf56afc0ba4

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=sha256:6d10223a8e74a8c542d8f2883703b61b5cd7effa32bc3693a999b99badc6603a

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=sha256:7ab98b52bdc55fe8646f88f75d624fa2143dba536886ed9c82fe7dbd788fbe62

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:df26897556b1f644228981eb7819b6d9df7a0759ca484449b3370c0752bbe50d

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-08T05:55:32.509993Z digest=sha256:d30c21e695d6cb5e6386138627dec1760dac2011fdcf10ede602631b9b9db2f8

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-08T05:55:32.515075Z digest=sha256:ee6cfb60966d6ab8d58b3b71369f21bf2e17f7e4c6cf2d25e4946d0f64362952

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=sha256:7152e1480b637538eeb20f49cd28a99c6c78b1efb7cff1c43824cc99e6b54a60

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-08T05:55:32.523686Z digest=sha256:1b21219fbb5efdc666fcd8bafd381b0209b1f1b6e409ac0f240de576f61af987

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-08T05:55:32.528348Z digest=sha256:65d83f80932351f026d545d3e5a98df1dd627663534528dedb4205ee8f6f1a3a

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:ac5237793e1640f012029acad81f3b7653f960c91c98735463befc9e944466e8

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:b311bbaea28d1266d32003d88872990aec3bce517c09d818bb6cf5d8cb682b6e

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:e3a480bdd13b803a448f7520010e9099b0c5a1a0d29cc638ea67e8a9a230c540

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-08T05:55:32.545257Z digest=sha256:ad9788b996d5e889b6649d826082de9ff70ddc03cc3b1d300fd8f25f47427c62

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-08T05:55:32.549851Z digest=sha256:e6c9fc1afd8b1744cde8e5f5baa2a66525299627fc5ae20df0e097cd5cc81868

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-08T05:55:32.554254Z digest=sha256:78769c541ce6d7f910aebfb2c96918874e6cade23e677be8dbaa5a910d10aa35

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-08T05:55:32.558513Z digest=sha256:cce869c0fd2632ef4087e7f6c743874a7d665d4a267e3a439342128eeaa2dd2a

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=sha256:669ea9528bdfa1182c75df151294e7477a96baf4947946527c15c596da63bb9e

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-08T05:55:32.567746Z digest=sha256:aaf39ba023813a8a4a1d6cbad34b2d190b6486739b534ca8a26e0e481356e1a7

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:c7d8400dcacc2b8209a77d121f4a9d15b1ca080d4d552052c3038f7a42528dc4

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=sha256:516509db31b793314e1ab362e205c1b73576f7f7b4b318eec84b603718b5db23

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=sha256:3942884302c867def66a7b5b09ed73cc60cf1421b663a7625e181669e941b3c4

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-08T05:55:32.585572Z digest=sha256:e119e2feee022ae146a3a044d7b20ecf40f1db6f735ac09634d59048ee7ba47c

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-08T05:55:32.590082Z digest=sha256:0d9271a1186fed37004f95d638b3fda044b177ac44c087ca0fd49db1abfca20a

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-08T05:55:32.594419Z digest=sha256:4503d084437559a6b53eb36af4e93008adea3fe06fbd84b0ed05fd4f2ebc87df

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-08T05:55:32.599167Z digest=sha256:3168b4416e397638d7ad734c3435e820a747e1fffa43945aeaea4037c69ada90

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:b5ccb6aeb26d7c99b337e914e23dba887f813e02734db40443cb1fd4c695ac2a

Pith citing papers

No inbound Pith citation observations are available.