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Paper Citation Record · LEDGER

Quantum-Inspired Machine Learning: a Survey

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2308.11269.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2308.11269 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:25:13.925422Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T14:59:56.021172Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 640dbc9c-acd8-4f80-9073-ef897242b08a · inbound

Quantum-inspired Embeddings Projection and Similarity Metrics for Representation Learning cites this paper.

Quantum-inspired Embeddings Projection and Similarity Metrics for Representation Learning Quantum-Inspired Machine Learning: a Survey

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-10T21:35:34.718548Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T21:35:34.718548Z digest=sha256:6217cc6217258a3df2309047e58480b6830882b98dd66bad5f914500cdf2dce2

Observation a3a5c9ac-b53d-426e-b261-c231d1d4db2f · inbound

Quantum-Enhanced Transformers for Robust Acoustic Scene Classification in IoT Environments cites this paper.

Quantum-Enhanced Transformers for Robust Acoustic Scene Classification in IoT Environments Quantum-Inspired Machine Learning: a Survey

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-10T20:10:31.614691Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:10:31.614691Z digest=sha256:dfac453be6ed33f87b40a8e70afe4936df93858c7696fa373008fbc5163bf770

Observation 12faa0c3-40a9-428e-a20d-762633f3e6c6 · inbound

Training-free Quantum-Inspired Image Edge Extraction Method cites this paper.

Training-free Quantum-Inspired Image Edge Extraction Method Quantum-Inspired Machine Learning: a Survey

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-09T22:01:08.122827Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T22:01:08.122827Z digest=sha256:11a05942d2485d7b7a52ae5317ef9061ff40578a5d890e8553316017529f3a92

Observation d042f714-936b-418a-964c-4a570b2535aa · inbound

Quantum Entrepreneurship Lab: Training a Future Workforce for the Quantum Industry cites this paper.

Quantum Entrepreneurship Lab: Training a Future Workforce for the Quantum Industry Quantum-Inspired Machine Learning: a Survey

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-15T23:25:13.925422Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:25:13.925422Z digest=sha256:58e18d468af345314d78ca7b476814993032f3c21c2cd6a1eee11c4c7304bc42

Observation 1d38cefa-6ffb-44f9-ba56-711cf784a192 · inbound

Boosting Classification with Quantum-Inspired Augmentations cites this paper.

Boosting Classification with Quantum-Inspired Augmentations Quantum-Inspired Machine Learning: a Survey

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-06T22:12:00.255657Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:12:00.255657Z digest=sha256:83880e3f2228085b4cc17c2f484a6817b0133ec1ba133c61f2197c9f86bafdaa

Observation 96446390-6e21-44a2-9571-f46f38e945e5 · inbound

QiVC-Net: Quantum-Inspired Variational Convolutional Network, with Application to Biosignal Classification cites this paper.

QiVC-Net: Quantum-Inspired Variational Convolutional Network, with Application to Biosignal Classification Quantum-Inspired Machine Learning: a Survey

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-03T23:28:53.186645Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T23:28:53.186645Z digest=sha256:890d956e708859d0a4b5a69602050a35d46e3163c40563a82c7db73c3730405e

Observation dffc8501-034b-4296-9b8c-cf71ec1268a5 · inbound

Noise-Induced Thermalization in Quantum Systems cites this paper.

Noise-Induced Thermalization in Quantum Systems Quantum-Inspired Machine Learning: a Survey

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-03T16:09:30.405847Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T16:09:30.405847Z digest=sha256:d575ea7f6d3b7c6ac784cae5711e88dcb34efc1a226baa5349c8ce2c5c32b2ba

Observation 5510dbaa-1ffe-463b-b39c-0b195395d2d6 · inbound

Quantum Adversarial Machine Learning: From Classical Adaptations to Quantum-Native Methods cites this paper.

Quantum Adversarial Machine Learning: From Classical Adaptations to Quantum-Native Methods Quantum-Inspired Machine Learning: a Survey

Reference 48

Resolution
verified exact
arxiv_id, observed 2026-05-20T22:29:09.489415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-20T22:26:40.181507Z digest=sha256:eddc5ed93cd518e674106c960e4d462eba764384c954eec88ba26c794156f46d

Observation 906e0005-61bd-4561-b87d-c853d0cd4729 · inbound

Dissipative Quantum Multiplicative Weights with Sampling Feedback: A Classically Hard Primitive Realized via Engineered Open-System Dynamics cites this paper.

Dissipative Quantum Multiplicative Weights with Sampling Feedback: A Classically Hard Primitive Realized via Engineered Open-System Dynamics Quantum-Inspired Machine Learning: a Survey

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-07-04T14:59:56.022458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-26T01:57:09.444180Z digest=sha256:5b19cd247bd18f6e1daed110f443aa451b9911f8803dafe6735c1d10add701b2