Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T21:04:32.983120Z
Paper Citation Record · LEDGER
Quantum Machine Learning in Transportation: A Case Study of Pedestrian Stress Modelling
As of 12 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 0 inbound Pith citation observations for arXiv:2507.01235.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+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
Reference resolution
22 of 22 outbound references displayed
- verified exact1
- verified fuzzy17
- unresolved4
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation e7af15e4-169b-474d-a801-b827f6bf3271 · outbound
This paper cites Classical simulation of quantum many-body systems with a tree tensor network,.
Quantum Machine Learning in Transportation: A Case Study of Pedestrian Stress Modelling Classical simulation of quantum many-body systems with a tree tensor network,
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:04:33.297029Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 122c377c-463f-415d-bb34-a6f4fe606a90 · outbound
This paper cites Quantum machine learning,.
Quantum Machine Learning in Transportation: A Case Study of Pedestrian Stress Modelling Quantum machine learning,
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:04:33.284869Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 7f57e4c3-fadf-4cd4-b85f-ffecdcd56811 · outbound
This paper cites De- coding pedestrian stress on urban streets using electrodermal activity monitoring in virtual immersive reality,.
Quantum Machine Learning in Transportation: A Case Study of Pedestrian Stress Modelling De- coding pedestrian stress on urban streets using electrodermal activity monitoring in virtual immersive reality,
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:04:33.273191Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 0f3f1094-6ad6-4242-8720-da5c489d890d · outbound
This paper cites PennyLane: Automatic differentiation of hybrid quantum-classical computations.
Quantum Machine Learning in Transportation: A Case Study of Pedestrian Stress Modelling PennyLane: Automatic differentiation of hybrid quantum-classical computations
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T21:04:32.912157Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 432c8baf-19b6-4e73-b8c0-ecb9b020e504 · outbound
This paper cites Quantum computing in intelligent transportation systems: A survey,.
Quantum Machine Learning in Transportation: A Case Study of Pedestrian Stress Modelling Quantum computing in intelligent transportation systems: A survey,
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:04:33.261044Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation af715330-a9b7-456c-9aad-23d3d80a4420 · outbound
This paper cites Qdcnn: Quantum deep learning for enhancing safety and reliability in autonomous transportation systems,.
Quantum Machine Learning in Transportation: A Case Study of Pedestrian Stress Modelling Qdcnn: Quantum deep learning for enhancing safety and reliability in autonomous transportation systems,
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:04:33.248438Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation e7775693-850a-41eb-975e-a52bd7b730f2 · outbound
This paper cites Data re-uploading in quantum machine learning for time series: application to traffic forecasting,.
Quantum Machine Learning in Transportation: A Case Study of Pedestrian Stress Modelling Data re-uploading in quantum machine learning for time series: application to traffic forecasting,
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:04:33.235711Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 0bdfe7ea-c883-40b2-a8d9-972e4476c0f0 · outbound
This paper cites Solving the vehicle routing problem via quantum support vector machines,.
Quantum Machine Learning in Transportation: A Case Study of Pedestrian Stress Modelling Solving the vehicle routing problem via quantum support vector machines,
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:04:33.223010Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 5ec7aeb6-67b4-40c2-8871-6f7c9f36f65f · outbound
This paper cites A supervised hybrid quantum machine learning solution to the emergency escape routing problem,.
Quantum Machine Learning in Transportation: A Case Study of Pedestrian Stress Modelling A supervised hybrid quantum machine learning solution to the emergency escape routing problem,
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:04:33.210730Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 1276acc3-8bc2-49c0-a111-bcd3ff13471d · outbound
This paper cites Per- formance optimization using quantum machine learning technique for predicting flight delays,.
Quantum Machine Learning in Transportation: A Case Study of Pedestrian Stress Modelling Per- formance optimization using quantum machine learning technique for predicting flight delays,
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:04:33.196894Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 088e7faa-4282-4e9d-8de5-d6188f473c9a · outbound
This paper cites Supervised learning with quantum-enhanced feature spaces,.
Quantum Machine Learning in Transportation: A Case Study of Pedestrian Stress Modelling Supervised learning with quantum-enhanced feature spaces,
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:04:33.181648Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation c4274c8e-2cd1-4b2d-9177-84d70a511169 · outbound
This paper cites Universal approximation property of quantum machine learning models in quantum-enhanced feature spaces,.
Quantum Machine Learning in Transportation: A Case Study of Pedestrian Stress Modelling Universal approximation property of quantum machine learning models in quantum-enhanced feature spaces,
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:04:33.168613Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation e0848f94-9b5b-4e1e-9e09-d8d021fef260 · outbound
This paper cites Support-vector networks,.
Quantum Machine Learning in Transportation: A Case Study of Pedestrian Stress Modelling Support-vector networks,
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:04:33.155212Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation cabe9841-1a77-41bd-9a4e-b545c85dba7a · outbound
This paper cites Hierarchical quantum classifiers,.
Quantum Machine Learning in Transportation: A Case Study of Pedestrian Stress Modelling Hierarchical quantum classifiers,
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:04:33.142513Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation d935f38f-51ae-4f9a-8dd1-57b668ae9d87 · outbound
This paper cites Kernel methods in machine learning,.
Quantum Machine Learning in Transportation: A Case Study of Pedestrian Stress Modelling Kernel methods in machine learning,
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:04:33.129531Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 253c159f-491c-44e9-8614-c607489eb4f0 · outbound
This paper cites Quantum machine learning in feature Hilbert spaces,.
Quantum Machine Learning in Transportation: A Case Study of Pedestrian Stress Modelling Quantum machine learning in feature Hilbert spaces,
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T21:04:32.959780Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b45ec861-fdeb-436d-8bfe-d52690c83a99 · outbound
This paper cites Circuit-centric quantum classifiers,.
Quantum Machine Learning in Transportation: A Case Study of Pedestrian Stress Modelling Circuit-centric quantum classifiers,
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T21:04:32.963406Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 91ca8d10-f5c5-414e-a9f8-a47c609ee97f · outbound
This paper cites Quantum support vector machine for big data classification,.
Quantum Machine Learning in Transportation: A Case Study of Pedestrian Stress Modelling Quantum support vector machine for big data classification,
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:04:33.097180Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 79fb38bc-9490-405c-9d8d-933598cc7f9b · outbound
This paper cites Pauli Fusion: a Computational Model to Realise Quantum Transformations from ZX Terms.
Quantum Machine Learning in Transportation: A Case Study of Pedestrian Stress Modelling Pauli Fusion: a Computational Model to Realise Quantum Transformations from ZX Terms
Reference 19
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T21:04:33.040003Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation c5f07a68-462a-434b-8669-662051f7aad1 · outbound
This paper cites Tree tensor networks for generative modeling,.
Quantum Machine Learning in Transportation: A Case Study of Pedestrian Stress Modelling Tree tensor networks for generative modeling,
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:04:33.083026Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 3b512055-b608-49bc-8ef0-cba2dcc28684 · outbound
This paper cites Classification with Quantum Neural Networks on Near Term Processors.
Quantum Machine Learning in Transportation: A Case Study of Pedestrian Stress Modelling Classification with Quantum Neural Networks on Near Term Processors
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T21:04:32.978526Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 99826704-e830-4052-b11b-0bcc2f82585d · outbound
This paper cites A precarious milestone for quantum computing,.
Quantum Machine Learning in Transportation: A Case Study of Pedestrian Stress Modelling A precarious milestone for quantum computing,
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:04:33.069555Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Pith citing papers
No inbound Pith citation observations are available.