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Paper Citation Record · LEDGER

Flow-PIN: A Two-Stage Power-Flow-Guided Method for System-Wide Multivariate Profile Inpainting in Distribution Networks

As of 17 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 0 inbound Pith citation observations for arXiv:2607.07250.

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

pith.paper-citation-record.v1
2607.07250 v1

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-09T16:20:59.259623Z

measured 25 of 25 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

25 of 25 outbound references displayed

  • verified exact19
  • verified fuzzy2
  • unresolved0
  • parse uncertain0
  • malformed identifier1
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6f6144d1-31e7-476b-9ec6-e174fa1981c5 · outbound

This paper cites 6 (a) evaluates the components of CFM.

Flow-PIN: A Two-Stage Power-Flow-Guided Method for System-Wide Multivariate Profile Inpainting in Distribution Networks 6 (a) evaluates the components of CFM

Reference 1

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verified fuzzy
raw_fallback, observed 2026-07-09T16:26:21.547995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 58b451c0-c420-49d1-9976-6131080eb22d · outbound

This paper cites Frequency comb generation using a CMOS compatible SiP DD-MZM for flexible networks.

Flow-PIN: A Two-Stage Power-Flow-Guided Method for System-Wide Multivariate Profile Inpainting in Distribution Networks Frequency comb generation using a CMOS compatible SiP DD-MZM for flexible networks

Reference 2

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arxiv_id, observed 2026-07-09T16:26:20.574970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 7780eb1e-adc2-40b4-8fcf-57fac34aaabe · outbound

This paper cites Towards missing electric power data imputation for energy management systems,.

Flow-PIN: A Two-Stage Power-Flow-Guided Method for System-Wide Multivariate Profile Inpainting in Distribution Networks Towards missing electric power data imputation for energy management systems,

Reference 3

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arxiv_id, observed 2026-07-09T16:26:20.595068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation c7cda87d-7d13-47b7-8c26-8f70c3e319e5 · outbound

This paper cites Robust Recovery of Missing Data in Electricity Distribution Systems,.

Flow-PIN: A Two-Stage Power-Flow-Guided Method for System-Wide Multivariate Profile Inpainting in Distribution Networks Robust Recovery of Missing Data in Electricity Distribution Systems,

Reference 4

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arxiv_id, observed 2026-07-09T16:26:20.568881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 98046d37-fd77-4c7a-92a2-910c3406c975 · outbound

This paper cites A Regularized Tensor Completion Approach for PMU Data Recovery,.

Flow-PIN: A Two-Stage Power-Flow-Guided Method for System-Wide Multivariate Profile Inpainting in Distribution Networks A Regularized Tensor Completion Approach for PMU Data Recovery,

Reference 5

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arxiv_id, observed 2026-07-09T16:26:20.597744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 6631f114-fb17-426c-9bdf-e709e7c11688 · outbound

This paper cites An Alte rnating Direction Method of Multipliers Based Approach for PMU Data Recovery,.

Flow-PIN: A Two-Stage Power-Flow-Guided Method for System-Wide Multivariate Profile Inpainting in Distribution Networks An Alte rnating Direction Method of Multipliers Based Approach for PMU Data Recovery,

Reference 6

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arxiv_id, observed 2026-07-09T16:26:20.567120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation f71f9d38-a71a-41b4-8412-b7919236d891 · outbound

This paper cites Electricity Measurement Missing Data Recovery Method Based on Low - Rank Tensor Completion With Triangular Canonical Polyadic Decomposition,.

Flow-PIN: A Two-Stage Power-Flow-Guided Method for System-Wide Multivariate Profile Inpainting in Distribution Networks Electricity Measurement Missing Data Recovery Method Based on Low - Rank Tensor Completion With Triangular Canonical Polyadic Decomposition,

Reference 7

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arxiv_id, observed 2026-07-09T16:26:20.598118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation dedfbdeb-e397-45f8-b98b-d389e365e20e · outbound

This paper cites Corre lation Clustering Imputation for Diagnosing Attacks and Faults With Missing Power Grid Data,.

Flow-PIN: A Two-Stage Power-Flow-Guided Method for System-Wide Multivariate Profile Inpainting in Distribution Networks Corre lation Clustering Imputation for Diagnosing Attacks and Faults With Missing Power Grid Data,

Reference 8

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arxiv_id, observed 2026-07-09T16:26:20.610800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 46a26f80-8729-4d85-b304-e05a2895c1bb · outbound

This paper cites Missing Data Recovery in Large Power Systems Using Network Embedding,.

Flow-PIN: A Two-Stage Power-Flow-Guided Method for System-Wide Multivariate Profile Inpainting in Distribution Networks Missing Data Recovery in Large Power Systems Using Network Embedding,

Reference 9

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arxiv_id, observed 2026-07-09T16:26:20.540074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 5c355045-1892-4ece-9850-5b4d5119b90a · outbound

This paper cites Missing Data Recovery for Electric Load Curves Based on A daptive Curve Grafting and Noise Decomposition,.

Flow-PIN: A Two-Stage Power-Flow-Guided Method for System-Wide Multivariate Profile Inpainting in Distribution Networks Missing Data Recovery for Electric Load Curves Based on A daptive Curve Grafting and Noise Decomposition,

Reference 10

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arxiv_id, observed 2026-07-09T16:26:20.555706Z

Source-reported events for the cited work

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Observation 1ee9d9a0-162f-46d1-975a-4c3cf3f1d5a8 · outbound

This paper cites ZTFed - MAS2S: A Zero - Trust Federated Learning Framework With Verifiable Privacy and Trust - Aware Aggregation for Wind Power Data Imputation,.

Flow-PIN: A Two-Stage Power-Flow-Guided Method for System-Wide Multivariate Profile Inpainting in Distribution Networks ZTFed - MAS2S: A Zero - Trust Federated Learning Framework With Verifiable Privacy and Trust - Aware Aggregation for Wind Power Data Imputation,

Reference 11

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arxiv_id, observed 2026-07-09T16:26:20.582192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 58d501b7-e656-47d1-9a18-5b194050bef3 · outbound

This paper cites Unsupervised and controllable synthesizing f or imbalanced energy dataset based on AC - InfoGAN,.

Flow-PIN: A Two-Stage Power-Flow-Guided Method for System-Wide Multivariate Profile Inpainting in Distribution Networks Unsupervised and controllable synthesizing f or imbalanced energy dataset based on AC - InfoGAN,

Reference 12

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arxiv_id, observed 2026-07-09T16:26:20.577849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 24d03919-9089-4b19-93b1-9fa742e1bd7d · outbound

This paper cites ProfileSR - GAN: A GAN Based Super - Resolution Method for Generating High - Resolution Load Profiles,.

Flow-PIN: A Two-Stage Power-Flow-Guided Method for System-Wide Multivariate Profile Inpainting in Distribution Networks ProfileSR - GAN: A GAN Based Super - Resolution Method for Generating High - Resolution Load Profiles,

Reference 13

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arxiv_id, observed 2026-07-09T16:26:20.586841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation b5fee1e9-e6a6-4f33-bc07-4e34b563b1db · outbound

This paper cites Multivariate time series imputation with generative adversarial networks,.

Flow-PIN: A Two-Stage Power-Flow-Guided Method for System-Wide Multivariate Profile Inpainting in Distribution Networks Multivariate time series imputation with generative adversarial networks,

Reference 14

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raw_fallback, observed 2026-07-09T16:26:21.550186Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 454609bf-b0c8-4e9b-a707-bbefec58c437 · outbound

This paper cites IEEE Transactions on Industrial Informatics17(8), 5522–5532 (2021) https://doi.org/10.1109/TII.

Flow-PIN: A Two-Stage Power-Flow-Guided Method for System-Wide Multivariate Profile Inpainting in Distribution Networks IEEE Transactions on Industrial Informatics17(8), 5522–5532 (2021) https://doi.org/10.1109/TII

Reference 15

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doi_truncated, observed 2026-07-09T16:26:20.607147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 625f6d72-28b6-447f-8dba-9840d3e8f859 · outbound

This paper cites Load Profile Inpainting for Missing Load Data Restoration and Baseline Estimation,.

Flow-PIN: A Two-Stage Power-Flow-Guided Method for System-Wide Multivariate Profile Inpainting in Distribution Networks Load Profile Inpainting for Missing Load Data Restoration and Baseline Estimation,

Reference 16

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arxiv_id, observed 2026-07-09T16:26:20.604571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation fec17ddc-6439-44f5-8ef3-0408dd7f552f · outbound

This paper cites A non - intrusive load monitoring missing data repair method for power grids based on an improved state transfer algorithm,.

Flow-PIN: A Two-Stage Power-Flow-Guided Method for System-Wide Multivariate Profile Inpainting in Distribution Networks A non - intrusive load monitoring missing data repair method for power grids based on an improved state transfer algorithm,

Reference 17

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arxiv_id, observed 2026-07-09T16:26:20.585562Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation a899eba3-7889-4346-931b-56a89576e72b · outbound

This paper cites A Cross - level Consistency - aware Diffusion Model of Hierarchical Imputation for Energy Prosumers,.

Flow-PIN: A Two-Stage Power-Flow-Guided Method for System-Wide Multivariate Profile Inpainting in Distribution Networks A Cross - level Consistency - aware Diffusion Model of Hierarchical Imputation for Energy Prosumers,

Reference 18

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arxiv_id, observed 2026-07-09T16:26:20.588784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 3c9c6e8d-f8f3-454a-bab7-6eb327a1e6e6 · outbound

This paper cites BERT - PIN: A BERT - Based Framework for Recovering Missing Data Segments in Time - Series Load Profiles,.

Flow-PIN: A Two-Stage Power-Flow-Guided Method for System-Wide Multivariate Profile Inpainting in Distribution Networks BERT - PIN: A BERT - Based Framework for Recovering Missing Data Segments in Time - Series Load Profiles,

Reference 19

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arxiv_id, observed 2026-07-09T16:26:20.565842Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 90284e36-3f81-4862-ab75-5e9d2f7d4d92 · outbound

This paper cites Applying fine - tu ned LLMs for reducing data needs in load profile analysis,.

Flow-PIN: A Two-Stage Power-Flow-Guided Method for System-Wide Multivariate Profile Inpainting in Distribution Networks Applying fine - tu ned LLMs for reducing data needs in load profile analysis,

Reference 20

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arxiv_id, observed 2026-07-09T16:26:20.591854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation a22264ff-c9f9-42fe-b850-23ed3924406f · outbound

This paper cites A large, curated, open -source stroke neuroimaging dataset to improve lesion segmentation algorithms.

Flow-PIN: A Two-Stage Power-Flow-Guided Method for System-Wide Multivariate Profile Inpainting in Distribution Networks A large, curated, open -source stroke neuroimaging dataset to improve lesion segmentation algorithms

Reference 21

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doi, observed 2026-07-09T16:26:20.594368Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-07-09T16:20:59.259623Z digest=sha256:5629eae09e9a99bfb9352dacc43bc764f66d3ae8dcb1c655365d161d9a55e6d8

Observation aea40102-a20c-43bd-a8aa-b82682536083 · outbound

This paper cites A Time Series is Worth 64 Words: Long-term Forecasting with Transformers.

Flow-PIN: A Two-Stage Power-Flow-Guided Method for System-Wide Multivariate Profile Inpainting in Distribution Networks A Time Series is Worth 64 Words: Long-term Forecasting with Transformers

Reference 22

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local_arxiv, observed 2026-07-09T16:26:20.601154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-07-09T16:20:59.259623Z digest=sha256:cc91682ed00740365c70270ed34689ff5e4eed90b250d69839e0f20d50e4824a

Observation e262bb30-797b-4a2e-9f3e-475d1a8e47d7 · outbound

This paper cites Are Transformers Effective for Time Series Forecasting?.

Flow-PIN: A Two-Stage Power-Flow-Guided Method for System-Wide Multivariate Profile Inpainting in Distribution Networks Are Transformers Effective for Time Series Forecasting?

Reference 23

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local_arxiv, observed 2026-07-09T16:26:20.583912Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 39e8b663-359e-4f8d-9d58-d7dbc4e978dc · outbound

This paper cites TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis.

Flow-PIN: A Two-Stage Power-Flow-Guided Method for System-Wide Multivariate Profile Inpainting in Distribution Networks TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis

Reference 24

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local_arxiv, observed 2026-07-09T16:26:20.742863Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-07-09T16:20:59.259623Z digest=sha256:e1f745571f996c41ce951875ad8938bef347ef95fdd8c1220dc5a8a31bc81bd4

Observation 0b65d66f-9c42-42cd-97e2-5ff4cf3e7e56 · outbound

This paper cites CSDI: Conditional Score-based Diffusion Models for Probabilistic Time Series Imputation.

Flow-PIN: A Two-Stage Power-Flow-Guided Method for System-Wide Multivariate Profile Inpainting in Distribution Networks CSDI: Conditional Score-based Diffusion Models for Probabilistic Time Series Imputation

Reference 25

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metadata mismatch
local_arxiv, observed 2026-07-09T16:26:20.592236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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