Paper Citation Record · LEDGER

JAX-Based Batched AC Power Flow for GPU Acceleration and AI Ecosystem Integration

As of 11 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 0 inbound Pith citation observations for arXiv:2605.14103.

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

pith.paper-citation-record.v1
2605.14103 v1

Coverage vector

measured 12 of 12 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-15T05:14:54.793362Z

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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

12 of 12 outbound references displayed

verified exact0
verified fuzzy11
unresolved1
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation fa65dc8f-2fd8-4781-be6a-d071485ec6eb · outbound

This paper cites 2018 , url =.

JAX-Based Batched AC Power Flow for GPU Acceleration and AI Ecosystem Integration 2018 , url =

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T05:15:04.096088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 5e31b9ba-20ff-43ec-9166-ea2521b9b08f · outbound

This paper cites Pandapower—An Open-Source Python Tool for Convenient Modeling, Analysis, and Optimization of Electric Power Systems , year=.

JAX-Based Batched AC Power Flow for GPU Acceleration and AI Ecosystem Integration Pandapower—An Open-Source Python Tool for Convenient Modeling, Analysis, and Optimization of Electric Power Systems , year=

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T05:15:04.105898Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a89d8ca0-1493-4015-8668-207e3ce9ce43 · outbound

This paper cites 2018 , url =.

JAX-Based Batched AC Power Flow for GPU Acceleration and AI Ecosystem Integration 2018 , url =

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T05:15:04.082396Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation bb5ec35e-823c-4284-b19d-df48bd1d7968 · outbound

This paper cites an unresolved cited work.

JAX-Based Batched AC Power Flow for GPU Acceleration and AI Ecosystem Integration Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-05-15T05:15:04.077401Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 06afec9b-3a31-4f89-8e74-40d61886afad · outbound

This paper cites and Alsac, O.

JAX-Based Batched AC Power Flow for GPU Acceleration and AI Ecosystem Integration and Alsac, O

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T05:15:04.091765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2883031b-d72a-40ec-8492-4b5fe556e360 · outbound

This paper cites GPU-Based Batch LU-Factorization Solver for Concurrent Analysis of Massive Power Flows , year=.

JAX-Based Batched AC Power Flow for GPU Acceleration and AI Ecosystem Integration GPU-Based Batch LU-Factorization Solver for Concurrent Analysis of Massive Power Flows , year=

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T05:15:04.087497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2f26842a-347e-4819-bd10-b9a14f4063a2 · outbound

This paper cites Full Parallel Power Flow Solution: A GPU-CPU-Based Vectorization Parallelization and Sparse Techniques for Newton–Raphson Implementation , year=.

JAX-Based Batched AC Power Flow for GPU Acceleration and AI Ecosystem Integration Full Parallel Power Flow Solution: A GPU-CPU-Based Vectorization Parallelization and Sparse Techniques for Newton–Raphson Implementation , year=

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T05:15:04.101329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b7ca3385-bd05-41c8-b738-87441bf763f5 · outbound

This paper cites GPU-Accelerated Algorithm for Online Probabilistic Power Flow , year=.

JAX-Based Batched AC Power Flow for GPU Acceleration and AI Ecosystem Integration GPU-Accelerated Algorithm for Online Probabilistic Power Flow , year=

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T05:15:04.114880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 803312ec-baa2-468a-a81b-274a341ae8c8 · outbound

This paper cites Accelerating Unbalanced Distribution Power Flow on GPUs Using Sparse Inverse Factors , year=.

JAX-Based Batched AC Power Flow for GPU Acceleration and AI Ecosystem Integration Accelerating Unbalanced Distribution Power Flow on GPUs Using Sparse Inverse Factors , year=

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T05:15:04.061268Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 44bda5ff-dee7-4a49-8afd-3cceb3ab9391 · outbound

This paper cites Superposition Theorem for Flexible Grids , year=.

JAX-Based Batched AC Power Flow for GPU Acceleration and AI Ecosystem Integration Superposition Theorem for Flexible Grids , year=

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T05:15:04.072067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 52fd8c9e-561a-4c65-b182-8bf454b1aec3 · outbound

This paper cites Applied Energy , volume=.

JAX-Based Batched AC Power Flow for GPU Acceleration and AI Ecosystem Integration Applied Energy , volume=

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T05:15:04.109815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2c411154-a398-4e47-a5dc-90400f843e13 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

JAX-Based Batched AC Power Flow for GPU Acceleration and AI Ecosystem Integration Advances in Neural Information Processing Systems , volume=

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T05:15:04.067106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Pith citing papers

No inbound Pith citation observations are available.