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Paper Citation Record · LEDGER

Universal Differential Equations for Scientific Machine Learning of Node-Wise Battery Dynamics in Smart Grids

As of 9 August 2026, this Paper Citation Record lists 9 of 9 outbound references and 0 inbound Pith citation observations for arXiv:2506.08272.

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

pith.paper-citation-record.v1
2506.08272 v1

Coverage vector

measured 9 of 9 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:19:26.571744Z

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

9 of 9 outbound references displayed

  • verified exact0
  • verified fuzzy8
  • unresolved1
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 992aa933-da34-4a44-9a2a-d1ad22d8bc26 · outbound

This paper cites Universal differential equa- tions for scientific machine learning,.

Universal Differential Equations for Scientific Machine Learning of Node-Wise Battery Dynamics in Smart Grids Universal differential equa- tions for scientific machine learning,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:19:26.673911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation c515169d-89c7-46df-8d3c-a89cf5050fb3 · outbound

This paper cites Applications of physics- informed neural networks in power systems: A review,.

Universal Differential Equations for Scientific Machine Learning of Node-Wise Battery Dynamics in Smart Grids Applications of physics- informed neural networks in power systems: A review,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:19:26.665121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T05:19:26.549963Z digest=sha256:8d07e14e8a62dc1ada3038b8daf6c7f482d2bee3c5b2c17692b16f55155944df

Observation 3d31eaaa-907b-4c49-82a4-56650556fe28 · outbound

This paper cites Diffeqflux.jl - a julia library for neural differential equations,.

Universal Differential Equations for Scientific Machine Learning of Node-Wise Battery Dynamics in Smart Grids Diffeqflux.jl - a julia library for neural differential equations,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:19:26.655760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T05:19:26.552938Z digest=sha256:ed1cfc5da9307ebb10391c6fcf1188e64eb4518e44632689271ceda3430899b6

Observation e884f71c-8b4e-4b24-8de7-8d59c0661867 · outbound

This paper cites Differentialequations.jl – a performant and feature-rich ecosystem for solving differential equations in julia,.

Universal Differential Equations for Scientific Machine Learning of Node-Wise Battery Dynamics in Smart Grids Differentialequations.jl – a performant and feature-rich ecosystem for solving differential equations in julia,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:19:26.645148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T05:19:26.556706Z digest=sha256:101f7a4723bab4a58cc0d4a0ecd6413d71e51480d946801f53d33f1a71e2dadd

Observation 171aa6f7-6ba8-4640-a528-88b31257771f · outbound

This paper cites Optimization.jl: A unified in- terface for optimization in julia,.

Universal Differential Equations for Scientific Machine Learning of Node-Wise Battery Dynamics in Smart Grids Optimization.jl: A unified in- terface for optimization in julia,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:19:26.634381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T05:19:26.560540Z digest=sha256:a0a289f76c72528fcaa7916e05306db75ef88c13b632bb7cda66fa54d1b65625

Observation 68342f39-bcfd-4bd0-a57c-13f98e0c1e3d · outbound

This paper cites Lux.jl: Composable machine learning in julia,.

Universal Differential Equations for Scientific Machine Learning of Node-Wise Battery Dynamics in Smart Grids Lux.jl: Composable machine learning in julia,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:19:26.624768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T05:19:26.563569Z digest=sha256:b3c10d90e208edda97fdca14af85b9c7de1c05b9f9fdfeb10ac84f4edf908943

Observation 696c3181-1da0-4e27-b35e-39f2f56110f4 · outbound

This paper cites A comparison of automatic differentiation and continuous sensitivity analysis for derivatives of differ- ential equation solutions,.

Universal Differential Equations for Scientific Machine Learning of Node-Wise Battery Dynamics in Smart Grids A comparison of automatic differentiation and continuous sensitivity analysis for derivatives of differ- ential equation solutions,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:19:26.615162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T05:19:26.566594Z digest=sha256:690a3138f8d6b3e95158221904ff3fa268678a631e08f11044ccc8fa735fca9a

Observation 9fffd0ee-7094-409f-adf7-4cedf858a106 · outbound

This paper cites Don't Unroll Adjoint: Differentiating SSA-Form Programs.

Universal Differential Equations for Scientific Machine Learning of Node-Wise Battery Dynamics in Smart Grids Don't Unroll Adjoint: Differentiating SSA-Form Programs

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-07T05:19:26.569072Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:19:26.569072Z digest=sha256:2e6795dc6336721e048ed1d982f347255bc2febbe74697a6c064f5fb132441a4

Observation 15204da6-9535-4b4e-83b6-67722ac306ed · outbound

This paper cites Adam: A method for stochastic optimization,.

Universal Differential Equations for Scientific Machine Learning of Node-Wise Battery Dynamics in Smart Grids Adam: A method for stochastic optimization,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:19:26.604721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T05:19:26.571744Z digest=sha256:0bc74b59de10bada1109e571e5b2ba2568361b9f3e185306ea4f4c0afb466c97

Pith citing papers

No inbound Pith citation observations are available.