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Paper Citation Record · LEDGER

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

As of 8 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 2026-08-07T06:34:17.273281+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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  • verified fuzzy0
  • unresolved33
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  • malformed identifier0
  • metadata mismatch0

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=sha256:9344883b8f1c72f4069c650271b096daecee40c002b3ed4d509163ddcbd3781f

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:ecbf1005df9fa27fa95ccb2dcf07a6e2c89360d174715b9cb6b359c8e6369a4e

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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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:d65ae1ffd872092efc74b8a27e5687b532edfab96c6080a7a00c489968594103

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:d6a26180dd7881736f621e9d2db8399b3401119094f3ddfacbec712cf485e409

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:ff2e512271af03986bece423907c28c1079eef645166739f8fdd32019926d61c

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:f45952e0c5e7b1d923a0d091fbdbd779ca733f4ebe42696eaf14045a23c6e9c5

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=sha256:0d0a3c936f733665c730c1e678d8e3df046e2a34979a98f6fd01f2748874fbdd

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=sha256:2a512ab512b8dec9239b8b358301638f63ae9d41f5b7f82b20429a978ee7a81f

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=sha256:8fbb82bda38455cfa2d8ecbd5469ee445c5497c784520d1ef04a0ffb9addad11

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:e91e7c6fc4287aea5b26ed35b4e534aef64fd954f91ad4e5319896f9de44b3e1

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=sha256:703faf463922015d3e8c6dadf1c89e47f0921db81b54ddda81b31a7ef1f4a9a5

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=sha256:99d87b134852a07e5786fc1ac552dcf780b1ca1da73e023d6be734d0517249ea

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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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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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:ef03693397ec30a3c15b7cd9442a241938bc6651aa936aaf670309c2b01adc04

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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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=sha256:2487cc27989610a8fc0831cb959c2e5d43089a05ba510420749b5bc3d8c20635

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=sha256:3967cad2c2d1dcc95b6efc83a34fbb4899bcd8cdbdc6b63e846f10f55b66c0b6

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:c83ed0274afa12982a6e4a4febe6b620b6fdafc2c593c8ceab7071c4c8c8b44b

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:e4dfa92593cfb030641d0586206322957deab56bcab2c4f627c9c99b890eb956

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=sha256:1a186066aa01a103e8cb9b3b31879d0bb8ca3f1b1b161ce3243f08e1b6fcffeb

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=sha256:3c5a988360cb7bf4f2a7b557fa36f2279258dd21dc6edfe86e5ea8820a0155b0

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=sha256:2e07194fa181b527b35f1a8f6bcea8da95f08f35eaa2bb7d18f863b718f5d16f

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:edaa208ea05f4cb8d5d104b30c98855c85c646391ac529b66b101f2a77806b43

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:f8736cacfc0da28fd9d15836d94ffd783c1535ee82dd9c0fb68a23e7deebb460

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=sha256:54270c9d8f55efe475acba4d2f52bc520e43c247709e3d33d3a94a848a096588

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=sha256:22413106d20eabb480a5fac97de1cb8b9a675ada9e3baa025fc64e3fc1dc1032

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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