Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-12T13:36:32.520159Z
Paper Citation Record · LEDGER
A Differentially Private Quantum Neural Network for Probabilistic Optimal Power Flow
As of 13 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 0 inbound Pith citation observations for arXiv:2411.16117.
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
17 of 17 outbound references displayed
- verified exact0
- verified fuzzy13
- unresolved4
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation eea8d139-7d4b-4167-a34a-4fa24c7f176c · outbound
This paper cites Analysis of probabilis- tic optimal power flow taking account of the variation of load power,.
A Differentially Private Quantum Neural Network for Probabilistic Optimal Power Flow Analysis of probabilis- tic optimal power flow taking account of the variation of load power,
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T13:36:32.682739Z
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 b78ccafc-3be5-404e-a39b-90c403bf2637 · outbound
This paper cites Deepopf- v: Solving ac-opf problems efficiently,.
A Differentially Private Quantum Neural Network for Probabilistic Optimal Power Flow Deepopf- v: Solving ac-opf problems efficiently,
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T13:36:32.673692Z
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 6083e586-cba5-426e-b49e-0212ac6cbe43 · outbound
This paper cites Quantum com- puting based hybrid solution strategies for large-scale discrete-continuous optimization problems,.
A Differentially Private Quantum Neural Network for Probabilistic Optimal Power Flow Quantum com- puting based hybrid solution strategies for large-scale discrete-continuous optimization problems,
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T13:36:32.664729Z
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 45dac5ec-c1bb-450d-8130-bdbc256eb0b5 · outbound
This paper cites Towards provably efficient quantum algorithms for large-scale machine-learning models,.
A Differentially Private Quantum Neural Network for Probabilistic Optimal Power Flow Towards provably efficient quantum algorithms for large-scale machine-learning models,
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T13:36:32.655346Z
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 eee20d23-51f5-4709-8815-d65462659781 · outbound
This paper cites Privacy pre- serving in non-intrusive load monitoring: A differen- tial privacy perspective,.
A Differentially Private Quantum Neural Network for Probabilistic Optimal Power Flow Privacy pre- serving in non-intrusive load monitoring: A differen- tial privacy perspective,
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T13:36:32.645764Z
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 46f413c4-292d-4dc2-b0c3-5f41792f4b4b · outbound
This paper cites Differential privacy,.
A Differentially Private Quantum Neural Network for Probabilistic Optimal Power Flow Differential privacy,
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T13:36:32.488150Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3c245c87-ac0d-4835-a188-09a2c611a40b · outbound
This paper cites Differentially private optimal power flow for distribution grids,.
A Differentially Private Quantum Neural Network for Probabilistic Optimal Power Flow Differentially private optimal power flow for distribution grids,
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T13:36:32.631090Z
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 19404eb0-bd84-4b5d-98b8-74458f269a26 · outbound
This paper cites Decentralized optimal power flow for multi-agent active distribution networks: A differen- tially private consensus admm algorithm,.
A Differentially Private Quantum Neural Network for Probabilistic Optimal Power Flow Decentralized optimal power flow for multi-agent active distribution networks: A differen- tially private consensus admm algorithm,
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T13:36:32.622796Z
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 cfb1169e-5b1d-4579-881d-2244d7876051 · outbound
This paper cites Quantum machine learning with differential privacy,.
A Differentially Private Quantum Neural Network for Probabilistic Optimal Power Flow Quantum machine learning with differential privacy,
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T13:36:32.613639Z
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 626ee4d0-3bb9-4a61-a348-1b7355025940 · outbound
This paper cites Branch flow model: Relax- ations and convexification—part i,.
A Differentially Private Quantum Neural Network for Probabilistic Optimal Power Flow Branch flow model: Relax- ations and convexification—part i,
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T13:36:32.604022Z
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 e2c1be68-2367-4a26-8436-4b92b658ea91 · outbound
This paper cites an unresolved cited work.
A Differentially Private Quantum Neural Network for Probabilistic Optimal Power Flow Unresolved cited work
Reference 11
- Resolution
- unresolved
- raw_fallback, observed 2026-08-12T13:36:32.594953Z
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 7b0b7d00-f4e9-4104-8446-bae8005f3d0b · outbound
This paper cites Circuit-centric quantum classifiers,.
A Differentially Private Quantum Neural Network for Probabilistic Optimal Power Flow Circuit-centric quantum classifiers,
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T13:36:32.506830Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ae9e5773-71dd-4b68-8516-e646594e52b0 · outbound
This paper cites The algorithmic foundations of differential privacy,.
A Differentially Private Quantum Neural Network for Probabilistic Optimal Power Flow The algorithmic foundations of differential privacy,
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T13:36:32.580742Z
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 37dd035b-192b-4a3d-9226-b646141c8eeb · outbound
This paper cites Privacy ampli- fication by subsampling: Tight analyses via couplings and divergences,.
A Differentially Private Quantum Neural Network for Probabilistic Optimal Power Flow Privacy ampli- fication by subsampling: Tight analyses via couplings and divergences,
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T13:36:32.571905Z
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 47f0357e-15ee-4dae-a3e3-5ee1a317f100 · outbound
This paper cites Quantum computing in the nisq era and beyond,.
A Differentially Private Quantum Neural Network for Probabilistic Optimal Power Flow Quantum computing in the nisq era and beyond,
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T13:36:32.514898Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 203c46fd-8fd9-485e-a899-78cff82f1c62 · outbound
This paper cites Qaoa for max- cut requires hundreds of qubits for quantum speed-up,.
A Differentially Private Quantum Neural Network for Probabilistic Optimal Power Flow Qaoa for max- cut requires hundreds of qubits for quantum speed-up,
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T13:36:32.557277Z
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 6c360196-ff61-4557-abe0-dbc22b194d87 · outbound
This paper cites Carbon market risk estimation using quan- tum conditional generative adversarial network and amplitude estimation,.
A Differentially Private Quantum Neural Network for Probabilistic Optimal Power Flow Carbon market risk estimation using quan- tum conditional generative adversarial network and amplitude estimation,
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T13:36:32.547833Z
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.