Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T18:28:24.828233Z
Paper Citation Record · LEDGER
Quantum-Accelerated Neural Imputation with Large Language Models (LLMs)
As of 8 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 0 inbound Pith citation observations for arXiv:2507.08255.
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 2026-08-07T06:34:17.273281+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
24 of 24 outbound references displayed
- verified exact0
- verified fuzzy23
- unresolved1
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 8b384145-2e6e-4070-96c9-c67280708b42 · outbound
This paper cites Optimizing personalized learning pathways with the salp swarm algorithm: A novel approach.
Quantum-Accelerated Neural Imputation with Large Language Models (LLMs) Optimizing personalized learning pathways with the salp swarm algorithm: A novel approach
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:28:29.893292Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 25e18e4c-0914-4c39-8450-e6bdc2e88473 · outbound
This paper cites Implementation and evalu- ation of object identification techniques on nao robot platform.
Quantum-Accelerated Neural Imputation with Large Language Models (LLMs) Implementation and evalu- ation of object identification techniques on nao robot platform
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:28:29.735362Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation faf9cd24-639b-4f36-ae75-0a61acbc5534 · outbound
This paper cites Ai-driven analysis and 15 prediction of energy consumption in nyc’s municipal buildings,.
Quantum-Accelerated Neural Imputation with Large Language Models (LLMs) Ai-driven analysis and 15 prediction of energy consumption in nyc’s municipal buildings,
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:28:29.424009Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 7cae1757-47a1-4659-9f34-8c23eb6630dc · outbound
This paper cites Improving the perfor- mance of short-term load forecast using a hybrid artificial neural network and artificial bee colony algorithm,.
Quantum-Accelerated Neural Imputation with Large Language Models (LLMs) Improving the perfor- mance of short-term load forecast using a hybrid artificial neural network and artificial bee colony algorithm,
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:28:29.212657Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation e6005fcd-a8aa-4cd3-bee4-b4e62d8612c2 · outbound
This paper cites Enhancing urban in- telligence energy management: Innovative load forecasting techniques for electrical networks,.
Quantum-Accelerated Neural Imputation with Large Language Models (LLMs) Enhancing urban in- telligence energy management: Innovative load forecasting techniques for electrical networks,
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:28:29.062670Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 339b32d3-3986-4b72-b9ca-29ff520f35cf · outbound
This paper cites Optimizing stand-alone pv systems: A metaheuristic-enhanced fuzzy approach for adaptive mppt,.
Quantum-Accelerated Neural Imputation with Large Language Models (LLMs) Optimizing stand-alone pv systems: A metaheuristic-enhanced fuzzy approach for adaptive mppt,
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:28:28.808979Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation ef80457a-146b-487b-8438-b24eab1e95c0 · outbound
This paper cites Sp-rf-arima: A sparse ran- dom forest and arima hybrid model for electric load forecasting,.
Quantum-Accelerated Neural Imputation with Large Language Models (LLMs) Sp-rf-arima: A sparse ran- dom forest and arima hybrid model for electric load forecasting,
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:28:28.595894Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation cb9b0fbb-e62b-47f8-a339-a3ab2c020d19 · outbound
This paper cites Fore: A student-centered framework for accessible robotics education through simulation and interactive learning.
Quantum-Accelerated Neural Imputation with Large Language Models (LLMs) Fore: A student-centered framework for accessible robotics education through simulation and interactive learning
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:28:28.264872Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 6675c119-2f66-4ff5-a0fd-d2a56a7f70b7 · outbound
This paper cites A schedule of duties in the cloud space using a modified salp swarm al- gorithm,.
Quantum-Accelerated Neural Imputation with Large Language Models (LLMs) A schedule of duties in the cloud space using a modified salp swarm al- gorithm,
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:28:28.092220Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 1a990812-deea-467d-afc9-cdc5e30ccea0 · outbound
This paper cites Impedance analysis of adaptive distance relays using ma- chine learning,.
Quantum-Accelerated Neural Imputation with Large Language Models (LLMs) Impedance analysis of adaptive distance relays using ma- chine learning,
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:28:27.901669Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 3ebafa28-2ef0-44f3-b5b1-e2263104d837 · outbound
This paper cites Securing smart power grids against cyber-attacks,.
Quantum-Accelerated Neural Imputation with Large Language Models (LLMs) Securing smart power grids against cyber-attacks,
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:28:27.661276Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 00343ac6-3d0b-4ba3-a826-e73ea76dfe17 · outbound
This paper cites Harmonized data drive: Standardizing and unifying smart car information storage for en- hanced forensics and interoperability,.
Quantum-Accelerated Neural Imputation with Large Language Models (LLMs) Harmonized data drive: Standardizing and unifying smart car information storage for en- hanced forensics and interoperability,
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:28:27.382854Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 376167be-1266-44a5-8389-c3573c30632f · outbound
This paper cites Fostering joint innovation: A global online platform for ideas sharing and collaboration,.
Quantum-Accelerated Neural Imputation with Large Language Models (LLMs) Fostering joint innovation: A global online platform for ideas sharing and collaboration,
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:28:27.035687Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation f7a58762-4687-4776-853e-367b3420ca42 · outbound
This paper cites A new combined method for future energy forecasting in electrical networks,.
Quantum-Accelerated Neural Imputation with Large Language Models (LLMs) A new combined method for future energy forecasting in electrical networks,
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:28:26.809011Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation af16fd79-1004-4dfc-978b-1c12fb958cdf · outbound
This paper cites Parallel multi-model energy demand forecasting with cloud redundancy: Leverag- ing trend correction, feature selection, and machine learning,.
Quantum-Accelerated Neural Imputation with Large Language Models (LLMs) Parallel multi-model energy demand forecasting with cloud redundancy: Leverag- ing trend correction, feature selection, and machine learning,
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:28:26.588930Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 666013aa-b42b-48d0-a15e-f47891ccb94e · outbound
This paper cites Providing a control system for charging electric vehicles using anfis,.
Quantum-Accelerated Neural Imputation with Large Language Models (LLMs) Providing a control system for charging electric vehicles using anfis,
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:28:26.377786Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation b56e3888-153d-4112-ba08-414d7eeacf13 · outbound
This paper cites A new hybrid method for electrical load forecasting based on deviation correction and mrmrms,.
Quantum-Accelerated Neural Imputation with Large Language Models (LLMs) A new hybrid method for electrical load forecasting based on deviation correction and mrmrms,
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:28:26.180104Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation a69357c2-0d75-4dee-ae7d-5be0804e70d9 · outbound
This paper cites Multiple imputation by chained equations: what is it and how does it work?.
Quantum-Accelerated Neural Imputation with Large Language Models (LLMs) Multiple imputation by chained equations: what is it and how does it work?
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:28:25.958602Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation b8fe4a35-b204-4e91-9da3-2dc76d18ff9a · outbound
This paper cites Gain: Missing data imputation using generative adversarial nets,.
Quantum-Accelerated Neural Imputation with Large Language Models (LLMs) Gain: Missing data imputation using generative adversarial nets,
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:28:25.837321Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation a355442d-c814-4876-8962-38dba7fe586b · outbound
This paper cites Generalized chiral instabilities, linking numbers, and non-invertible symmetries.
Quantum-Accelerated Neural Imputation with Large Language Models (LLMs) Generalized chiral instabilities, linking numbers, and non-invertible symmetries
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:28:24.278314Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8923170a-3f2d-40fd-8c4d-144fe1b51a05 · outbound
This paper cites Supervised learning with quantum-enhanced feature spaces,.
Quantum-Accelerated Neural Imputation with Large Language Models (LLMs) Supervised learning with quantum-enhanced feature spaces,
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:28:25.698421Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation b91132ed-f919-490e-8dbe-c14c74f090ba · outbound
This paper cites Missforest–non-parametric missing value imputation for mixed-type data,.
Quantum-Accelerated Neural Imputation with Large Language Models (LLMs) Missforest–non-parametric missing value imputation for mixed-type data,
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:28:25.489684Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation c03e9c01-a051-470f-a553-8955424ec188 · outbound
This paper cites A new method of cloud- based computation model for mobile devices: energy consumption opti- mization in mobile-to-mobile computation offloading,.
Quantum-Accelerated Neural Imputation with Large Language Models (LLMs) A new method of cloud- based computation model for mobile devices: energy consumption opti- mization in mobile-to-mobile computation offloading,
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:28:25.299132Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation d37bd148-91aa-44f5-ba39-25e707568316 · outbound
This paper cites Pennylane: Automatic differen- tiation of hybrid quantum-classical computations,.
Quantum-Accelerated Neural Imputation with Large Language Models (LLMs) Pennylane: Automatic differen- tiation of hybrid quantum-classical computations,
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:28:25.046330Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Pith citing papers
No inbound Pith citation observations are available.