Paper Citation Record · LEDGER

From Similarity to Feasibility: Diffusion-Refined Retrieval-Augmented Generation for Distribution Network Optimization

As of 11 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:2607.15809.

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

pith.paper-citation-record.v1
2607.15809 v1

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T22:20:56.420830Z

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+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

35 of 35 outbound references displayed

verified exact0
verified fuzzy0
unresolved35
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 236ab453-ccac-4f27-b62c-718e2bd6fb15 · outbound

This paper cites Survey on ai and machine learning techniques for microgrid energy management systems,.

From Similarity to Feasibility: Diffusion-Refined Retrieval-Augmented Generation for Distribution Network Optimization Survey on ai and machine learning techniques for microgrid energy management systems,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-01T22:20:52.712754Z

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Unavailable: canonical work link unavailable.

Observation 7e838423-c143-44f5-ae73-3e1c7f39f03b · outbound

This paper cites Machine learning accelerated real-time model predictive control for power systems,.

From Similarity to Feasibility: Diffusion-Refined Retrieval-Augmented Generation for Distribution Network Optimization Machine learning accelerated real-time model predictive control for power systems,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-01T22:20:52.807448Z

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Observation c4f266d9-d275-419d-8e4e-4aa5ce52aab5 · outbound

This paper cites Contingency filtering techniques for preventive security-constrained optimal power flow,.

From Similarity to Feasibility: Diffusion-Refined Retrieval-Augmented Generation for Distribution Network Optimization Contingency filtering techniques for preventive security-constrained optimal power flow,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-01T22:20:52.872698Z

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Observation f0832390-9f77-4323-b461-b03b0ae538f9 · outbound

This paper cites Decomposed scopf for improving efficiency,.

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-01T22:20:52.967823Z

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Observation a06d6e97-1f7a-4e23-8b87-435ac4af4795 · outbound

This paper cites Fast security-constrained optimal power flow through low-impact and redundancy screening,.

From Similarity to Feasibility: Diffusion-Refined Retrieval-Augmented Generation for Distribution Network Optimization Fast security-constrained optimal power flow through low-impact and redundancy screening,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-01T22:20:53.072642Z

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Observation 45b9bd41-29de-4241-a18e-24df55174882 · outbound

This paper cites Security constrained unit commitment using line outage distribution factors,.

From Similarity to Feasibility: Diffusion-Refined Retrieval-Augmented Generation for Distribution Network Optimization Security constrained unit commitment using line outage distribution factors,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-01T22:20:53.157507Z

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Unavailable: canonical work link unavailable.

Observation 8dedc151-719a-4f42-b06c-a6eab0c8dc08 · outbound

This paper cites Deepopf: A deep neural network approach for security-constrained dc optimal power flow,.

From Similarity to Feasibility: Diffusion-Refined Retrieval-Augmented Generation for Distribution Network Optimization Deepopf: A deep neural network approach for security-constrained dc optimal power flow,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-01T22:20:53.224982Z

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Unavailable: canonical work link unavailable.

Observation a5f797c0-bfca-40b9-b1ff-d64a19a15c6a · outbound

This paper cites Data-driven optimal power flow: A physics-informed machine learning approach,.

From Similarity to Feasibility: Diffusion-Refined Retrieval-Augmented Generation for Distribution Network Optimization Data-driven optimal power flow: A physics-informed machine learning approach,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-01T22:20:53.308721Z

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Unavailable: canonical work link unavailable.

Observation ea475db4-2285-4454-93f6-e6441445bcfb · outbound

This paper cites Data-driven screen- ing of network constraints for unit commitment,.

From Similarity to Feasibility: Diffusion-Refined Retrieval-Augmented Generation for Distribution Network Optimization Data-driven screen- ing of network constraints for unit commitment,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-01T22:20:53.423075Z

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Unavailable: canonical work link unavailable.

Observation 373a9eff-822d-4790-812b-29e72b9c7174 · outbound

This paper cites Applications of physics-informed neural net- works in power systems-a review,.

From Similarity to Feasibility: Diffusion-Refined Retrieval-Augmented Generation for Distribution Network Optimization Applications of physics-informed neural net- works in power systems-a review,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-01T22:20:53.525039Z

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Unavailable: canonical work link unavailable.

Observation 029e34de-4563-42c2-91d3-8f43f66800f7 · outbound

This paper cites Two- timescale voltage control in distribution grids using deep reinforcement learning,.

From Similarity to Feasibility: Diffusion-Refined Retrieval-Augmented Generation for Distribution Network Optimization Two- timescale voltage control in distribution grids using deep reinforcement learning,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-01T22:20:53.593614Z

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Observation 91b5e388-a94f-47c3-aaa3-415d73c1ea71 · outbound

This paper cites Deep reinforcement learning based volt-var optimization in smart distribution systems,.

From Similarity to Feasibility: Diffusion-Refined Retrieval-Augmented Generation for Distribution Network Optimization Deep reinforcement learning based volt-var optimization in smart distribution systems,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-01T22:20:53.671159Z

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Observation 863a8cbd-27c2-431f-a326-315a69b7bede · outbound

This paper cites Multi-agent deep reinforcement learning for voltage control with coordinated active and reactive power optimization,.

From Similarity to Feasibility: Diffusion-Refined Retrieval-Augmented Generation for Distribution Network Optimization Multi-agent deep reinforcement learning for voltage control with coordinated active and reactive power optimization,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-01T22:20:53.775668Z

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Observation 973d310a-e31d-42cc-93a5-8394bf35017c · outbound

This paper cites Robust deep reinforcement learning for volt-var optimization in active distribution system under uncertainty,.

From Similarity to Feasibility: Diffusion-Refined Retrieval-Augmented Generation for Distribution Network Optimization Robust deep reinforcement learning for volt-var optimization in active distribution system under uncertainty,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-01T22:20:53.882153Z

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Unavailable: canonical work link unavailable.

Observation 05d01c44-cc71-4f58-b5b8-e9e4412e30c5 · outbound

This paper cites Varying condition scopf based on deep learning and knowledge graph,.

From Similarity to Feasibility: Diffusion-Refined Retrieval-Augmented Generation for Distribution Network Optimization Varying condition scopf based on deep learning and knowledge graph,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-01T22:20:53.997887Z

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Unavailable: canonical work link unavailable.

Observation eb560d9e-dca5-43a4-afca-2f029336a4dd · outbound

This paper cites A data-knowledge-hybrid-driven method for modeling reactive power- voltage response characteristics of renewable energy sources,.

From Similarity to Feasibility: Diffusion-Refined Retrieval-Augmented Generation for Distribution Network Optimization A data-knowledge-hybrid-driven method for modeling reactive power- voltage response characteristics of renewable energy sources,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-01T22:20:54.135173Z

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Observation 5988d892-93a1-483c-8b28-f9fefe34ae33 · outbound

This paper cites A meta-learning based distribution system load forecasting model selection framework,.

From Similarity to Feasibility: Diffusion-Refined Retrieval-Augmented Generation for Distribution Network Optimization A meta-learning based distribution system load forecasting model selection framework,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-01T22:20:54.299526Z

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Observation c7d055e3-6cc4-4807-97d8-60496ad99618 · outbound

This paper cites Meta-ann–a dynamic artificial neural network refined by meta-learning for short-term load forecasting,.

From Similarity to Feasibility: Diffusion-Refined Retrieval-Augmented Generation for Distribution Network Optimization Meta-ann–a dynamic artificial neural network refined by meta-learning for short-term load forecasting,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-01T22:20:54.436361Z

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Unavailable: canonical work link unavailable.

Observation 47a718e2-366d-40d2-97ad-acdb0bda489b · outbound

This paper cites Short-term load forecasting of distribution transformer supply zones based on federated model-agnostic meta learning,.

From Similarity to Feasibility: Diffusion-Refined Retrieval-Augmented Generation for Distribution Network Optimization Short-term load forecasting of distribution transformer supply zones based on federated model-agnostic meta learning,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-01T22:20:54.551189Z

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Observation 24486c8b-8304-4cd5-855e-5e4ef828ed02 · outbound

This paper cites Load recognition with few-shot transfer learning based on meta-learning and relational network in non- intrusive load monitoring,.

From Similarity to Feasibility: Diffusion-Refined Retrieval-Augmented Generation for Distribution Network Optimization Load recognition with few-shot transfer learning based on meta-learning and relational network in non- intrusive load monitoring,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-01T22:20:54.667289Z

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Unavailable: canonical work link unavailable.

Observation 3f539768-f6c8-448d-babd-47d184a7be6a · outbound

This paper cites A generalizable method for practical non-intrusive load monitoring via metric-based meta-learning,.

From Similarity to Feasibility: Diffusion-Refined Retrieval-Augmented Generation for Distribution Network Optimization A generalizable method for practical non-intrusive load monitoring via metric-based meta-learning,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-01T22:20:54.776911Z

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Observation ba5ec06e-0b75-4287-8818-981edceba549 · outbound

This paper cites Retrieval- augmented generation for knowledge-intensive nlp tasks,.

From Similarity to Feasibility: Diffusion-Refined Retrieval-Augmented Generation for Distribution Network Optimization Retrieval- augmented generation for knowledge-intensive nlp tasks,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-01T22:20:54.892273Z

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Unavailable: canonical work link unavailable.

Observation bc648049-d1c8-4bd3-b0ea-359a4d340d88 · outbound

This paper cites Remodiffuse: Retrieval-augmented motion diffusion model,.

From Similarity to Feasibility: Diffusion-Refined Retrieval-Augmented Generation for Distribution Network Optimization Remodiffuse: Retrieval-augmented motion diffusion model,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-01T22:20:55.008580Z

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Unavailable: canonical work link unavailable.

Observation 809d2a14-8c37-4195-a245-7dd15e7c0734 · outbound

This paper cites Re-imagen: Retrieval- augmented text-to-image generator,.

From Similarity to Feasibility: Diffusion-Refined Retrieval-Augmented Generation for Distribution Network Optimization Re-imagen: Retrieval- augmented text-to-image generator,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-01T22:20:55.181707Z

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Observation 515d77e1-dea0-409f-9011-d06750c313e1 · outbound

This paper cites An Overview of Diffusion Models: Applications, Guided Generation, Statistical Rates and Optimization.

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-01T22:20:55.269635Z

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Observation e8fb164f-4b86-4625-9f4f-21a075973c22 · outbound

This paper cites Denoising diffusion probabilistic models,.

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-01T22:20:55.365117Z

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Unavailable: canonical work link unavailable.

Observation b3af8084-9bcf-41ce-8ed9-d70c8319ea69 · outbound

This paper cites Diffusion-based generation, optimization, and planning in 3d scenes,.

From Similarity to Feasibility: Diffusion-Refined Retrieval-Augmented Generation for Distribution Network Optimization Diffusion-based generation, optimization, and planning in 3d scenes,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-01T22:20:55.488068Z

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Unavailable: canonical work link unavailable.

Observation af6f679d-ec74-4f51-8dca-99324b7db77f · outbound

This paper cites A large-scale dataset of distributed renewable energy scenarios on the ieee-33 bus network,.

From Similarity to Feasibility: Diffusion-Refined Retrieval-Augmented Generation for Distribution Network Optimization A large-scale dataset of distributed renewable energy scenarios on the ieee-33 bus network,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-01T22:20:55.603324Z

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Unavailable: canonical work link unavailable.

Observation 71f11d01-b93d-4442-9bdf-78c58ac644e9 · outbound

This paper cites An open tool for creating battery-electric vehicle time series from empirical data, emobpy,.

From Similarity to Feasibility: Diffusion-Refined Retrieval-Augmented Generation for Distribution Network Optimization An open tool for creating battery-electric vehicle time series from empirical data, emobpy,

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-01T22:20:55.686399Z

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Observation 6035421b-c2e8-42a6-b327-7efba949fed6 · outbound

This paper cites CHIME: Conditional Hallucination and Integrated Multi-scale Enhancement for Time Series Diffusion Model.

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-01T22:20:55.811109Z

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Unavailable: canonical work link unavailable.

Observation dd980b60-09e0-4a41-87af-bf44dd1de663 · outbound

This paper cites Egbad: Ensemble graph- boosted anomaly detection for user-level multi-energy load data,.

From Similarity to Feasibility: Diffusion-Refined Retrieval-Augmented Generation for Distribution Network Optimization Egbad: Ensemble graph- boosted anomaly detection for user-level multi-energy load data,

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-01T22:20:55.931771Z

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Observation 4e7605a9-708b-46d3-8db9-8abf1452a1be · outbound

This paper cites an unresolved cited work.

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-01T22:20:56.063935Z

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Observation 4e9fed50-5838-43ce-9ba9-85228e00c784 · outbound

This paper cites an unresolved cited work.

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-01T22:20:56.173456Z

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Observation 23fc5a32-25bf-498b-a44c-8f4effa6c290 · outbound

This paper cites an unresolved cited work.

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-01T22:20:56.296621Z

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Observation fb9e827f-f9eb-4f4d-8dab-19dd3435774c · outbound

This paper cites an unresolved cited work.

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-01T22:20:56.420830Z

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Pith citing papers

No inbound Pith citation observations are available.