Paper Citation Record · LEDGER

Operationally Feasible Synthetic Power-Grid Scenarios via Learning the AC-Operable Joint Distribution

As of 17 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2608.03878.

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

pith.paper-citation-record.v1
2608.03878 v1

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T10:36:35.681174Z

measured 30 of 30 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

30 of 30 outbound references displayed

verified exact4
verified fuzzy24
unresolved2
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c5abc725-3d6d-484f-82db-eeb90aec1898 · outbound

This paper cites Powergrow: feasible co-growth of structures and dynamics for power grid synthesis,.

Operationally Feasible Synthetic Power-Grid Scenarios via Learning the AC-Operable Joint Distribution Powergrow: feasible co-growth of structures and dynamics for power grid synthesis,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:36:36.616843Z

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.

Observation 44198c95-060f-4c78-91e6-c551b65e38ff · outbound

This paper cites Distribution grid topology and parameter estimation using deep-shallow neural network with physical consistency,.

Operationally Feasible Synthetic Power-Grid Scenarios via Learning the AC-Operable Joint Distribution Distribution grid topology and parameter estimation using deep-shallow neural network with physical consistency,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:36:36.465967Z

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.

Observation 13b803b9-727b-4685-857d-ba2df206bb57 · outbound

This paper cites Real-time Assessments,.

Operationally Feasible Synthetic Power-Grid Scenarios via Learning the AC-Operable Joint Distribution Real-time Assessments,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:36:36.427511Z

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.

Observation b75d113c-6a38-4155-b679-7a9ebe0f0e04 · outbound

This paper cites Transmission Operator Workflows for Real-Time Reliability Studies,.

Operationally Feasible Synthetic Power-Grid Scenarios via Learning the AC-Operable Joint Distribution Transmission Operator Workflows for Real-Time Reliability Studies,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:36:36.381718Z

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.

Observation a9fcc182-f4a9-4cb7-9ea5-1bb34dc839cf · outbound

This paper cites Distribution grid line outage iden- tification with unknown pattern and performance guarantee,.

Operationally Feasible Synthetic Power-Grid Scenarios via Learning the AC-Operable Joint Distribution Distribution grid line outage iden- tification with unknown pattern and performance guarantee,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:36:36.336658Z

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.

Observation 9a113fc6-8cf5-446c-80fc-e54babe3402b · outbound

This paper cites Real-Time Contingency Analysis With Corrective Transmission Switching,.

Operationally Feasible Synthetic Power-Grid Scenarios via Learning the AC-Operable Joint Distribution Real-Time Contingency Analysis With Corrective Transmission Switching,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:36:36.295937Z

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.

Observation 412f8cb9-07a0-446a-aa58-7f56d88eaf15 · outbound

This paper cites Fault Location, Isolation, and Service Restoration Technologies Reduce Outage Impact and Duration,.

Operationally Feasible Synthetic Power-Grid Scenarios via Learning the AC-Operable Joint Distribution Fault Location, Isolation, and Service Restoration Technologies Reduce Outage Impact and Duration,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:36:36.255373Z

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.

Observation e75c08c9-c517-49c2-b6b2-007507ab2ba4 · outbound

This paper cites Low-dimensional ode embedding to convert low-resolution meters into “virtual.

Operationally Feasible Synthetic Power-Grid Scenarios via Learning the AC-Operable Joint Distribution Low-dimensional ode embedding to convert low-resolution meters into “virtual

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:36:36.218148Z

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.

Observation 181a722d-0fc9-49fa-84ad-714826201b16 · outbound

This paper cites A frame- work for generating synthetic distribution feeders using openstreetmap,.

Operationally Feasible Synthetic Power-Grid Scenarios via Learning the AC-Operable Joint Distribution A frame- work for generating synthetic distribution feeders using openstreetmap,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:36:36.197175Z

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.

Observation 1813b0df-032a-4385-b064-56fe15afb145 · outbound

This paper cites Synthetic Grid Generator: Synthesizing Large-Scale Power Distribution Grids using Open Street Map.

Operationally Feasible Synthetic Power-Grid Scenarios via Learning the AC-Operable Joint Distribution Synthetic Grid Generator: Synthesizing Large-Scale Power Distribution Grids using Open Street Map

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-08-05T10:36:35.877396Z

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.

Observation b6f9ccce-d266-4e4d-9ff4-276b62d3557a · outbound

This paper cites Generation of low-voltage synthetic grid data for energy system modeling with the pylovo tool,.

Operationally Feasible Synthetic Power-Grid Scenarios via Learning the AC-Operable Joint Distribution Generation of low-voltage synthetic grid data for energy system modeling with the pylovo tool,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:36:36.175633Z

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.

Observation bec906c7-1803-476f-b141-69de716b5282 · outbound

This paper cites Grid structural characteristics as validation criteria for synthetic networks,.

Operationally Feasible Synthetic Power-Grid Scenarios via Learning the AC-Operable Joint Distribution Grid structural characteristics as validation criteria for synthetic networks,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-05T10:36:35.595230Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c54ab282-5efa-4c46-a931-8dda8c524e5b · outbound

This paper cites Statistical considerations in the creation of realistic synthetic power grids for geomagnetic disturbance studies,.

Operationally Feasible Synthetic Power-Grid Scenarios via Learning the AC-Operable Joint Distribution Statistical considerations in the creation of realistic synthetic power grids for geomagnetic disturbance studies,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:36:36.144481Z

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.

Observation 10856386-0e52-413d-bfe4-de755fc43afa · outbound

This paper cites Generating synthetic power grids using exponential random graph models,.

Operationally Feasible Synthetic Power-Grid Scenarios via Learning the AC-Operable Joint Distribution Generating synthetic power grids using exponential random graph models,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:36:36.125723Z

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.

Observation 81951d0d-17a7-4436-b1da-e8a537e250fa · outbound

This paper cites A methodology for the creation of geographically realistic synthetic power flow models,.

Operationally Feasible Synthetic Power-Grid Scenarios via Learning the AC-Operable Joint Distribution A methodology for the creation of geographically realistic synthetic power flow models,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:36:36.108742Z

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.

Observation b16c4bb8-d89a-41f1-b4cb-dfb6c34ccd4a · outbound

This paper cites A random growth model for power grids and other spatially embedded infrastructure networks,.

Operationally Feasible Synthetic Power-Grid Scenarios via Learning the AC-Operable Joint Distribution A random growth model for power grids and other spatially embedded infrastructure networks,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:36:36.090810Z

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.

Observation 60f088e6-a247-4119-9733-dfdba906a8bc · outbound

This paper cites A two-stage ai- powered motif mining method for efficient power system topological analysis,.

Operationally Feasible Synthetic Power-Grid Scenarios via Learning the AC-Operable Joint Distribution A two-stage ai- powered motif mining method for efficient power system topological analysis,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:36:36.073235Z

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.

Observation 95013061-95c7-4003-b4d2-90e976336e25 · outbound

This paper cites Synthetic Active Distribution System Generation via Unbalanced Graph Generative Adversarial Network.

Operationally Feasible Synthetic Power-Grid Scenarios via Learning the AC-Operable Joint Distribution Synthetic Active Distribution System Generation via Unbalanced Graph Generative Adversarial Network

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-08-05T10:36:35.852780Z

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.

Observation 20635cc0-5f15-45ee-8714-ae1f2301abd3 · outbound

This paper cites Deep Generative Graph Distribution Learning for Synthetic Power Grids.

Operationally Feasible Synthetic Power-Grid Scenarios via Learning the AC-Operable Joint Distribution Deep Generative Graph Distribution Learning for Synthetic Power Grids

Reference 19

Resolution: verified exact; local_arxiv, observed 2026-08-05T10:36:35.827461Z

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.

Observation 24b11e4d-c6e3-4f02-bcde-0b6c7af314b2 · outbound

This paper cites Feedergan: Synthetic feeder generation via deep graph adversarial nets,.

Operationally Feasible Synthetic Power-Grid Scenarios via Learning the AC-Operable Joint Distribution Feedergan: Synthetic feeder generation via deep graph adversarial nets,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:36:36.055932Z

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.

Observation c6a8711c-368b-4b80-8044-f906a7720b86 · outbound

This paper cites Exploring variational graph au- toencoders for distribution grid data generation,.

Operationally Feasible Synthetic Power-Grid Scenarios via Learning the AC-Operable Joint Distribution Exploring variational graph au- toencoders for distribution grid data generation,

Reference 21

Resolution: verified exact; raw_fallback, observed 2026-08-05T10:36:35.799556Z

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.

Observation 9a83da5f-ed14-4485-8e58-cdda17a878b1 · outbound

This paper cites Score-based generative modeling of graphs via the system of stochastic differential equations,.

Operationally Feasible Synthetic Power-Grid Scenarios via Learning the AC-Operable Joint Distribution Score-based generative modeling of graphs via the system of stochastic differential equations,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-05T10:36:35.644238Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b85920af-0425-4ef3-b2e2-e1cc2200931d · outbound

This paper cites Advancing graph generation through beta diffusion,.

Operationally Feasible Synthetic Power-Grid Scenarios via Learning the AC-Operable Joint Distribution Advancing graph generation through beta diffusion,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:36:36.025342Z

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.

Observation f97a98ae-d234-4573-b397-f9b124646d51 · outbound

This paper cites Active distribution system synthesis via unbalanced graph generative adversarial network,.

Operationally Feasible Synthetic Power-Grid Scenarios via Learning the AC-Operable Joint Distribution Active distribution system synthesis via unbalanced graph generative adversarial network,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:36:36.008926Z

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.

Observation 8ee62d29-060c-4061-9f7c-0789223efcc1 · outbound

This paper cites Beta diffusion,.

Operationally Feasible Synthetic Power-Grid Scenarios via Learning the AC-Operable Joint Distribution Beta diffusion,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:36:35.986894Z

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.

Observation c4cfdee3-b3e0-4b33-9466-3bfd79751814 · outbound

This paper cites Digress: Discrete denoising diffusion for graph generation,.

Operationally Feasible Synthetic Power-Grid Scenarios via Learning the AC-Operable Joint Distribution Digress: Discrete denoising diffusion for graph generation,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:36:35.969478Z

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.

Observation 9b342b97-6827-417d-97ec-4465b15922dc · outbound

This paper cites PYPOWER: Electric power system simulation in python,.

Operationally Feasible Synthetic Power-Grid Scenarios via Learning the AC-Operable Joint Distribution PYPOWER: Electric power system simulation in python,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:36:35.951288Z

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.

Observation 4b6abb0f-3d14-4a1a-9444-f54eae59a3d5 · outbound

This paper cites European representative electricity distribution networks,.

Operationally Feasible Synthetic Power-Grid Scenarios via Learning the AC-Operable Joint Distribution European representative electricity distribution networks,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:36:35.933625Z

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.

Observation f0b7ee6d-e203-4a04-80a2-ffd0557968b6 · outbound

This paper cites A gnn-based generative model for generating synthetic cyber-physical power system topology,.

Operationally Feasible Synthetic Power-Grid Scenarios via Learning the AC-Operable Joint Distribution A gnn-based generative model for generating synthetic cyber-physical power system topology,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:36:35.916097Z

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.

Observation 56ba8c6b-e7dd-4835-8f9e-b554b2cad9a5 · outbound

This paper cites Graph generation with diffusion mixture,.

Operationally Feasible Synthetic Power-Grid Scenarios via Learning the AC-Operable Joint Distribution Graph generation with diffusion mixture,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:36:35.895900Z

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.

Pith citing papers

No inbound Pith citation observations are available.