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Paper Citation Record · LEDGER

FMOPF: Latent Flow Matching with Constraint-Aware Interaction Priors for AC Optimal Power Flow

As of 12 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:2607.22788.

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

pith.paper-citation-record.v1
2607.22788 v1

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T05:21:18.665086Z

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+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

33 of 33 outbound references displayed

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  • unresolved33
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  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a6f551ba-2b3d-40c2-932b-42fc065b9c10 · outbound

This paper cites An introduction to optimal power flow: Theory, formulation, and examples,.

FMOPF: Latent Flow Matching with Constraint-Aware Interaction Priors for AC Optimal Power Flow An introduction to optimal power flow: Theory, formulation, and examples,

Reference 1

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Observation d9f0391f-e0a6-4d6f-a619-c6a1d3196614 · outbound

This paper cites an unresolved cited work.

FMOPF: Latent Flow Matching with Constraint-Aware Interaction Priors for AC Optimal Power Flow Unresolved cited work

Reference 2

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source=pdf_text observed=2026-08-01T05:21:16.173488Z digest=sha256:80549f38a50cc3601e6eb4b06d10320c3261f7bfddd3ccdb8a9e1d2e4ccdb73b

Observation db2e7732-1fe6-40db-8975-fe17c86217b8 · outbound

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

FMOPF: Latent Flow Matching with Constraint-Aware Interaction Priors for AC Optimal Power Flow Deepopf: A deep neural network approach for security-constrained dc optimal power flow,

Reference 3

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Observation 51ee9409-7894-48bc-8ddb-dd016a5fc9d2 · outbound

This paper cites Learning optimal solutions for extremely fast ac optimal power flow,.

FMOPF: Latent Flow Matching with Constraint-Aware Interaction Priors for AC Optimal Power Flow Learning optimal solutions for extremely fast ac optimal power flow,

Reference 4

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source=pdf_text observed=2026-08-01T05:21:16.288115Z digest=sha256:0f9b8eccb1d7d4509ab97e51ae6b612fb088df07ffefef0b8117938ad0db1223

Observation b06b007a-7a70-4152-94ce-428e62904145 · outbound

This paper cites Predicting ac optimal power flows: Combining deep learning and lagrangian dual methods,.

FMOPF: Latent Flow Matching with Constraint-Aware Interaction Priors for AC Optimal Power Flow Predicting ac optimal power flows: Combining deep learning and lagrangian dual methods,

Reference 5

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source=pdf_text observed=2026-08-01T05:21:16.338702Z digest=sha256:23d3ef9c56819452d7aea0853971624df4cd8301c65919349d92f30393672f60

Observation 88a2e238-1d81-4c73-aa7b-a92ff181b1d6 · outbound

This paper cites Model-informed generative adversarial network for learning optimal power flow,.

FMOPF: Latent Flow Matching with Constraint-Aware Interaction Priors for AC Optimal Power Flow Model-informed generative adversarial network for learning optimal power flow,

Reference 6

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source=pdf_text observed=2026-08-01T05:21:16.390546Z digest=sha256:36a103af2881ee0559d2e2a2669d8e2374f818e58051a4114da91de88c545f7b

Observation 578e2aae-691b-44ff-a681-2aa07ba742a3 · outbound

This paper cites Denoising diffusion probabilistic models,.

FMOPF: Latent Flow Matching with Constraint-Aware Interaction Priors for AC Optimal Power Flow Denoising diffusion probabilistic models,

Reference 7

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source=pdf_text observed=2026-08-01T05:21:16.445668Z digest=sha256:1621b013db57ef13276aaf5c9ca71d92abf2bfb38034ea2546e30b6149c1a2a7

Observation f0f27d2a-32a5-465d-ae8a-e9e291ddb171 · outbound

This paper cites Flow matching for generative modeling,.

FMOPF: Latent Flow Matching with Constraint-Aware Interaction Priors for AC Optimal Power Flow Flow matching for generative modeling,

Reference 8

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source=pdf_text observed=2026-08-01T05:21:16.542996Z digest=sha256:a8264dea787d4b8de77b2a02894dfa3c0cb706a7638a6abf326c3fad37fcbbc1

Observation d1358af5-397a-4e32-a324-8408bd98002e · outbound

This paper cites Diffusion-Based Scene Graph to Image Generation with Masked Contrastive Pre-Training.

FMOPF: Latent Flow Matching with Constraint-Aware Interaction Priors for AC Optimal Power Flow Diffusion-Based Scene Graph to Image Generation with Masked Contrastive Pre-Training

Reference 9

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source=pdf_text observed=2026-08-01T05:21:16.624583Z digest=sha256:4cf11d63c1b19548b2e8d556fab9e45ef2a12c39cf6c13159e4205985846e2ab

Observation bdb02672-7ff3-4fc4-a2f1-bff3b6c8b52b · outbound

This paper cites High- resolution image synthesis with latent diffusion models,.

FMOPF: Latent Flow Matching with Constraint-Aware Interaction Priors for AC Optimal Power Flow High- resolution image synthesis with latent diffusion models,

Reference 10

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source=pdf_text observed=2026-08-01T05:21:16.692646Z digest=sha256:a61633ab7874503a4eeeac85c2113f45e6ede125cfdf0c5200722c440bf7c67a

Observation 03c3297e-8951-4992-b472-002fcb10aa37 · outbound

This paper cites Scaling rectified flow transformers for high-resolution image synthesis,.

FMOPF: Latent Flow Matching with Constraint-Aware Interaction Priors for AC Optimal Power Flow Scaling rectified flow transformers for high-resolution image synthesis,

Reference 11

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source=pdf_text observed=2026-08-01T05:21:16.778502Z digest=sha256:0f9d23febc5339de1140ae48c53286791fd7ed1d7f51ee04759d1735199d6043

Observation 2d4d81d3-191b-4cda-8dc7-e46ca7fc0782 · outbound

This paper cites Motion-aware latent diffusion models for video frame interpolation,.

FMOPF: Latent Flow Matching with Constraint-Aware Interaction Priors for AC Optimal Power Flow Motion-aware latent diffusion models for video frame interpolation,

Reference 12

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source=pdf_text observed=2026-08-01T05:21:16.855025Z digest=sha256:795432156b31ac4ecd11c157e44836447b1eb9185cd30ffb848c82016db248ef

Observation 4d64e375-d961-4397-b0f9-7a7097090f53 · outbound

This paper cites Enhanced motion-aware latent diffusion models for video frame interpolation,.

FMOPF: Latent Flow Matching with Constraint-Aware Interaction Priors for AC Optimal Power Flow Enhanced motion-aware latent diffusion models for video frame interpolation,

Reference 13

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source=pdf_text observed=2026-08-01T05:21:16.927105Z digest=sha256:a54a1f6a2af0e26442b667aef02959f3d02636ecafb0854b48148e464f6ef6ca

Observation 0484dfd9-be37-448a-9a37-b82f9f026fd8 · outbound

This paper cites Interaction-based retrieval- augmented diffusion models for protein-specific 3d molecule gener- ation,.

FMOPF: Latent Flow Matching with Constraint-Aware Interaction Priors for AC Optimal Power Flow Interaction-based retrieval- augmented diffusion models for protein-specific 3d molecule gener- ation,

Reference 15

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source=pdf_text observed=2026-08-01T05:21:17.151903Z digest=sha256:76f7253fdf12e507dfb2fdc7c4e446056854d05901d215252083e9b4bff3919b

Observation 2323d58c-aee4-47bc-bea8-6ef0332c2c81 · outbound

This paper cites Binding-adaptive diffusion models for structure- based drug design,.

FMOPF: Latent Flow Matching with Constraint-Aware Interaction Priors for AC Optimal Power Flow Binding-adaptive diffusion models for structure- based drug design,

Reference 16

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source=pdf_text observed=2026-08-01T05:21:17.209359Z digest=sha256:ac9ed71334358ae5b863f6b038e37f796fb0db057d37c1f8c410abdad7bfb326

Observation 639f364b-566c-4ed5-a408-4c8401bf9e29 · outbound

This paper cites Disentangled diffusion model for 3d molecu- lar generation with protein–ligand interaction priors,.

FMOPF: Latent Flow Matching with Constraint-Aware Interaction Priors for AC Optimal Power Flow Disentangled diffusion model for 3d molecu- lar generation with protein–ligand interaction priors,

Reference 17

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Observation 79a323dd-6b16-4cd7-84ab-d16ac16a4a0e · outbound

This paper cites Diffopf: Diffusion solver for optimal power flow,.

FMOPF: Latent Flow Matching with Constraint-Aware Interaction Priors for AC Optimal Power Flow Diffopf: Diffusion solver for optimal power flow,

Reference 18

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source=pdf_text observed=2026-08-01T05:21:17.372383Z digest=sha256:b7f79b4015dab8687ec95834ce87a321ce6235332d5a24bf55fc28e6fa2029f3

Observation 67377dac-28cc-4906-889d-48ded4ad381e · outbound

This paper cites Fast diffusion with physics-correction for acopf,.

FMOPF: Latent Flow Matching with Constraint-Aware Interaction Priors for AC Optimal Power Flow Fast diffusion with physics-correction for acopf,

Reference 19

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source=pdf_text observed=2026-08-01T05:21:17.443511Z digest=sha256:9504e79ef7d07164a297ea17e61e04da24cca8c99860962648e1a4a07ab9d384

Observation 18c03055-0c4b-4765-9cba-e138ea9d3519 · outbound

This paper cites Flow straight and fast: Learning to generate and transfer data with rectified flow,.

FMOPF: Latent Flow Matching with Constraint-Aware Interaction Priors for AC Optimal Power Flow Flow straight and fast: Learning to generate and transfer data with rectified flow,

Reference 20

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source=pdf_text observed=2026-08-01T05:21:17.522286Z digest=sha256:4ece79f96a678af60c9a5b33819eda5a1fb04492ce665d0f5793083450bb0b4c

Observation 603eda5b-0fa6-4e52-b056-ca38574a16ad · outbound

This paper cites DC3: A learning method for optimization with hard constraints.

FMOPF: Latent Flow Matching with Constraint-Aware Interaction Priors for AC Optimal Power Flow DC3: A learning method for optimization with hard constraints

Reference 21

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source=pdf_text observed=2026-08-01T05:21:17.584647Z digest=sha256:f199e89524c16caa59c60fdc6123f4b842e4dbe310668cdba4d949cd174d3de2

Observation 736c6cff-85f8-41c1-8db3-3dca1651ee30 · outbound

This paper cites Unsupervised learning for solving ac optimal power flows: Design, analysis, and experiment,.

FMOPF: Latent Flow Matching with Constraint-Aware Interaction Priors for AC Optimal Power Flow Unsupervised learning for solving ac optimal power flows: Design, analysis, and experiment,

Reference 22

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Observation d6cbba4b-be99-4383-be05-7bfe4fb4ab24 · outbound

This paper cites Physics-informed neural net- works for ac optimal power flow,.

FMOPF: Latent Flow Matching with Constraint-Aware Interaction Priors for AC Optimal Power Flow Physics-informed neural net- works for ac optimal power flow,

Reference 23

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source=pdf_text observed=2026-08-01T05:21:17.779803Z digest=sha256:aaa444fb3c20e9d83742d81d2e254299bdeb9d903d1d0f023766bb445c446301

Observation c8ab5318-91c2-4ecb-b9dc-bfb53cd0ddd0 · outbound

This paper cites Topology-aware graph neural networks for learning feasible and adaptive ac-opf solutions,.

FMOPF: Latent Flow Matching with Constraint-Aware Interaction Priors for AC Optimal Power Flow Topology-aware graph neural networks for learning feasible and adaptive ac-opf solutions,

Reference 24

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source=pdf_text observed=2026-08-01T05:21:17.844191Z digest=sha256:7ca5f4351bc71563d8b96790e6e915eebe1333d8f4594fa07aeb7cfc9274c89f

Observation 8f8d416b-e7d7-4d6c-a2d1-455acfa63ee6 · outbound

This paper cites Deep unsupervised learning using nonequilibrium thermodynamics,.

FMOPF: Latent Flow Matching with Constraint-Aware Interaction Priors for AC Optimal Power Flow Deep unsupervised learning using nonequilibrium thermodynamics,

Reference 25

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source=pdf_text observed=2026-08-01T05:21:17.899530Z digest=sha256:34d5e0fcad5a5bf5cf9e68e51a9d41e130e50df2653e2e13037e2e46b548f61b

Observation 4f89526d-fa1d-4c1e-80d8-c6dc12f7e24b · outbound

This paper cites Denoising diffusion implicit models,.

FMOPF: Latent Flow Matching with Constraint-Aware Interaction Priors for AC Optimal Power Flow Denoising diffusion implicit models,

Reference 26

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source=pdf_text observed=2026-08-01T05:21:17.999454Z digest=sha256:6d50c5596d329084dfa6633359a3a06f0323378506e1c4bde4e9a156a92cf659

Observation 963929dc-5a6a-4d49-92e6-893379640d2f · outbound

This paper cites Diffusion models beat gans on image synthesis,.

FMOPF: Latent Flow Matching with Constraint-Aware Interaction Priors for AC Optimal Power Flow Diffusion models beat gans on image synthesis,

Reference 27

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source=pdf_text observed=2026-08-01T05:21:18.083791Z digest=sha256:79209cda09965af9fbeaab7e54feb4f2c6e8b8174b46daaaa8ce046b4c79cf4d

Observation b32d0c04-66d1-4a25-bf61-cb14152b4491 · outbound

This paper cites Building normalizing flows with stochastic interpolants,.

FMOPF: Latent Flow Matching with Constraint-Aware Interaction Priors for AC Optimal Power Flow Building normalizing flows with stochastic interpolants,

Reference 28

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source=pdf_text observed=2026-08-01T05:21:18.173326Z digest=sha256:24a22ae73b112e750dd158ce623e5b1bd8cc70b53e52253818594056d5565bf1

Observation c1dbdc57-aca4-44d8-9158-15147b714d07 · outbound

This paper cites Equivariant flow matching with hybrid probability transport for 3d molecule generation,.

FMOPF: Latent Flow Matching with Constraint-Aware Interaction Priors for AC Optimal Power Flow Equivariant flow matching with hybrid probability transport for 3d molecule generation,

Reference 29

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source=pdf_text observed=2026-08-01T05:21:18.237039Z digest=sha256:49c5b11641bea1cabadc68012613d66fbab346cf73c75d761d3aa92b25b4597f

Observation fd47564e-6c9f-43cd-b6bf-380b79ff05e3 · outbound

This paper cites SE(3) diffusion model with application to protein backbone generation.

FMOPF: Latent Flow Matching with Constraint-Aware Interaction Priors for AC Optimal Power Flow SE(3) diffusion model with application to protein backbone generation

Reference 30

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source=pdf_text observed=2026-08-01T05:21:18.316811Z digest=sha256:900d2e9d2ec809a754b74443aad4b4ba4a068f77a8a22a621b7d75460cb019bb

Observation 98e6f9a4-55e1-41ca-8008-7341c7e2d5e5 · outbound

This paper cites Protein-ligand interaction prior for binding-aware 3d molecule diffusion models,.

FMOPF: Latent Flow Matching with Constraint-Aware Interaction Priors for AC Optimal Power Flow Protein-ligand interaction prior for binding-aware 3d molecule diffusion models,

Reference 31

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source=pdf_text observed=2026-08-01T05:21:18.406714Z digest=sha256:1736ba51c29827ef597594213a8b295bf3e48cf50a9a738c5ec60f09300c7407

Observation 9602c335-6d31-48f4-8172-17063e61253a · outbound

This paper cites Decoupled Weight Decay Regularization.

FMOPF: Latent Flow Matching with Constraint-Aware Interaction Priors for AC Optimal Power Flow Decoupled Weight Decay Regularization

Reference 32

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source=pdf_text observed=2026-08-01T05:21:18.484356Z digest=sha256:352842fc7627427468364558f3dc86d1f5cb161be240877ffabf58279fb3e09a

Observation 0d4de935-e148-4e1b-88d7-5268304d94dd · outbound

This paper cites Review of load-flow calculation methods,.

FMOPF: Latent Flow Matching with Constraint-Aware Interaction Priors for AC Optimal Power Flow Review of load-flow calculation methods,

Reference 33

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source=pdf_text observed=2026-08-01T05:21:18.568354Z digest=sha256:b475f38db6ff6ce5196abd8d56db83818d6e1fc6ef6202237bf8c718bf12fbe3

Observation 6237ddb7-d9b3-45f7-bfcb-b5dc27a72791 · outbound

This paper cites pandapower—an open-source python tool for convenient modeling, analysis, and optimization of electric power systems,.

FMOPF: Latent Flow Matching with Constraint-Aware Interaction Priors for AC Optimal Power Flow pandapower—an open-source python tool for convenient modeling, analysis, and optimization of electric power systems,

Reference 34

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