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Paper Citation Record · LEDGER

Machine Learning for Physical Simulation Challenge Results and Retrospective Analysis: Power Grid Use Case

As of 18 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:2505.01156.

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

pith.paper-citation-record.v1
2505.01156 v1

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:33:53.225686Z

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

  • verified exact2
  • verified fuzzy17
  • unresolved14
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation fa56edf9-7fc5-4463-9f7a-22551405f48b · outbound

This paper cites an unresolved cited work.

Machine Learning for Physical Simulation Challenge Results and Retrospective Analysis: Power Grid Use Case Unresolved cited work

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 8442fa12-489d-45fe-acbf-28b6762da9d2 · outbound

This paper cites Carleo, I.

Machine Learning for Physical Simulation Challenge Results and Retrospective Analysis: Power Grid Use Case Carleo, I

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 3d580b53-05e1-49f8-ac0e-8afbc09b894e · outbound

This paper cites Accelerating Eulerian Fluid Simulation With Convolutional Networks.

Machine Learning for Physical Simulation Challenge Results and Retrospective Analysis: Power Grid Use Case Accelerating Eulerian Fluid Simulation With Convolutional Networks

Reference 3

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no resolver link, observed 2026-08-16T04:33:53.117343Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 754ac372-3924-497b-a6bc-960b625e137e · outbound

This paper cites Kasim, D.

Machine Learning for Physical Simulation Challenge Results and Retrospective Analysis: Power Grid Use Case Kasim, D

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 10997cf0-427f-472b-bd5b-19521d87527c · outbound

This paper cites LEAP nets for power grid perturbations.

Machine Learning for Physical Simulation Challenge Results and Retrospective Analysis: Power Grid Use Case LEAP nets for power grid perturbations

Reference 5

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local_arxiv, observed 2026-08-16T04:33:53.309570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 9df1cfa3-7691-4f84-8bfb-0c818ad97210 · outbound

This paper cites an unresolved cited work.

Machine Learning for Physical Simulation Challenge Results and Retrospective Analysis: Power Grid Use Case Unresolved cited work

Reference 6

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raw_fallback, observed 2026-08-16T04:33:53.574240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation e9a46c49-52dc-4d83-873b-c9fbcb767634 · outbound

This paper cites Physics Informed Deep Learning (Part I): Data-driven Solutions of Nonlinear Partial Differential Equations.

Machine Learning for Physical Simulation Challenge Results and Retrospective Analysis: Power Grid Use Case Physics Informed Deep Learning (Part I): Data-driven Solutions of Nonlinear Partial Differential Equations

Reference 7

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no resolver link, observed 2026-08-16T04:33:53.133033Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:33:53.133033Z digest=sha256:bd6f80dc44d202056679299036ea0306dbe48bd5a3f77a48854c3b667f77f71a

Observation 4879543b-b9f9-438f-a972-ee2695684296 · outbound

This paper cites Yagoubi, D.

Machine Learning for Physical Simulation Challenge Results and Retrospective Analysis: Power Grid Use Case Yagoubi, D

Reference 8

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raw_fallback, observed 2026-08-16T04:33:53.564527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation a6498ec7-70a6-4070-9d2f-37b045f1f5ec · outbound

This paper cites ML4PhySim : Machine Learning for Physical Simulations Challenge (The airfoil design).

Machine Learning for Physical Simulation Challenge Results and Retrospective Analysis: Power Grid Use Case ML4PhySim : Machine Learning for Physical Simulations Challenge (The airfoil design)

Reference 9

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no resolver link, observed 2026-08-16T04:33:53.140005Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:33:53.140005Z digest=sha256:bbe3d5855152a8f980eb54809670a61741f5238bd8f596902cc13fcffddba0ef

Observation 2b2ccd10-6fc6-4b1a-9c88-a825be6bdb70 · outbound

This paper cites Marot, B.

Machine Learning for Physical Simulation Challenge Results and Retrospective Analysis: Power Grid Use Case Marot, B

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation e5e8ae88-622e-4131-90b0-9f1ab3a98cdb · outbound

This paper cites Marot, B.

Machine Learning for Physical Simulation Challenge Results and Retrospective Analysis: Power Grid Use Case Marot, B

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 36fad7a4-8596-4089-83fc-9d0afc8dc416 · outbound

This paper cites Marot, B.

Machine Learning for Physical Simulation Challenge Results and Retrospective Analysis: Power Grid Use Case Marot, B

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation da99ff5a-6638-4418-a9a4-22f69986880b · outbound

This paper cites Marot, A.

Machine Learning for Physical Simulation Challenge Results and Retrospective Analysis: Power Grid Use Case Marot, A

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation db95b0d4-cec0-4c37-9231-c560b07153f1 · outbound

This paper cites Towards an AI assistant for power grid operators.

Machine Learning for Physical Simulation Challenge Results and Retrospective Analysis: Power Grid Use Case Towards an AI assistant for power grid operators

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation a5cac822-7265-46b4-8fdf-ea74e59b4ad2 · outbound

This paper cites an unresolved cited work.

Machine Learning for Physical Simulation Challenge Results and Retrospective Analysis: Power Grid Use Case Unresolved cited work

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T04:33:53.161285Z digest=sha256:a897e1fd9e136a2c395e5c72d7ca8a5cf2b919af0990434b2a0e5eac4a132d96

Observation 3ed2f049-ac48-442c-a860-95cd7cebc913 · outbound

This paper cites Donnot, I.

Machine Learning for Physical Simulation Challenge Results and Retrospective Analysis: Power Grid Use Case Donnot, I

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 24b72036-b81b-47e7-8f5e-fee5caac22f5 · outbound

This paper cites an unresolved cited work.

Machine Learning for Physical Simulation Challenge Results and Retrospective Analysis: Power Grid Use Case Unresolved cited work

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation ecf826e1-dfd3-422c-a7e4-3f889de64834 · outbound

This paper cites an unresolved cited work.

Machine Learning for Physical Simulation Challenge Results and Retrospective Analysis: Power Grid Use Case Unresolved cited work

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation e98cb8b3-4542-43a0-8766-b4fc05f278fb · outbound

This paper cites Leyli-abadi, A.

Machine Learning for Physical Simulation Challenge Results and Retrospective Analysis: Power Grid Use Case Leyli-abadi, A

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T04:33:53.174654Z digest=sha256:cf5037c34941b49373205780ae8f8ad6cf728f814db52e1fab3fe42a52e1399a

Observation 5af61bbf-18a8-4f37-926c-8184bbd5ded5 · outbound

This paper cites Donon, B.

Machine Learning for Physical Simulation Challenge Results and Retrospective Analysis: Power Grid Use Case Donon, B

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 675bff89-6f56-4825-a275-6a32abbc6582 · outbound

This paper cites an unresolved cited work.

Machine Learning for Physical Simulation Challenge Results and Retrospective Analysis: Power Grid Use Case Unresolved cited work

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 2b7f94f8-5526-4868-87ff-655dce896d4a · outbound

This paper cites Zlatev, Computational methods for general sparse matrices, Vol.

Machine Learning for Physical Simulation Challenge Results and Retrospective Analysis: Power Grid Use Case Zlatev, Computational methods for general sparse matrices, Vol

Reference 22

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 71f56d15-1a79-4793-a42a-b26f6a373b15 · outbound

This paper cites Zhang, M.

Machine Learning for Physical Simulation Challenge Results and Retrospective Analysis: Power Grid Use Case Zhang, M

Reference 23

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 5b254bcb-f2a5-4ecd-a9d2-1a0f59d2a854 · outbound

This paper cites an unresolved cited work.

Machine Learning for Physical Simulation Challenge Results and Retrospective Analysis: Power Grid Use Case Unresolved cited work

Reference 24

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 9c88e5d7-c6bd-43d0-b022-78c4bb01a686 · outbound

This paper cites Adabag, M.

Machine Learning for Physical Simulation Challenge Results and Retrospective Analysis: Power Grid Use Case Adabag, M

Reference 25

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation ec1f8708-e009-4b65-9073-14fec796eb86 · outbound

This paper cites Stott, O.

Machine Learning for Physical Simulation Challenge Results and Retrospective Analysis: Power Grid Use Case Stott, O

Reference 26

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raw_fallback, observed 2026-08-16T04:33:53.391596Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 8bffbe9a-0d23-4c66-aeba-6077d70e2d1d · outbound

This paper cites Zhang, M.

Machine Learning for Physical Simulation Challenge Results and Retrospective Analysis: Power Grid Use Case Zhang, M

Reference 27

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raw_fallback, observed 2026-08-16T04:33:53.380060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation cfb4c866-6523-4078-83d7-687242cdd72e · outbound

This paper cites an unresolved cited work.

Machine Learning for Physical Simulation Challenge Results and Retrospective Analysis: Power Grid Use Case Unresolved cited work

Reference 28

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 954f121b-4dac-43b7-95db-cab186f08e61 · outbound

This paper cites an unresolved cited work.

Machine Learning for Physical Simulation Challenge Results and Retrospective Analysis: Power Grid Use Case Unresolved cited work

Reference 29

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:33:53.211121Z digest=sha256:fac447cf513ee075febd76c6149c043d20bd4988735b819596f35a3a26bee4e2

Observation a793ef2c-160b-4221-9402-eb0eb84cb1ea · outbound

This paper cites Vaswani, N.

Machine Learning for Physical Simulation Challenge Results and Retrospective Analysis: Power Grid Use Case Vaswani, N

Reference 30

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no resolver link, observed 2026-08-16T04:33:53.214480Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:33:53.214480Z digest=sha256:c0a66bd29044e6e91b3d6265ee20fbd2e7277b2039980b4745f5ecf6607c263b

Observation 520bc8bd-1ce1-4a02-a842-bb931737fe6d · outbound

This paper cites Gilain, P.

Machine Learning for Physical Simulation Challenge Results and Retrospective Analysis: Power Grid Use Case Gilain, P

Reference 31

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raw_fallback, observed 2026-08-16T04:33:53.344027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 3577ba44-7eb2-4dff-831f-1243912bd303 · outbound

This paper cites Plantec, P.

Machine Learning for Physical Simulation Challenge Results and Retrospective Analysis: Power Grid Use Case Plantec, P

Reference 32

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raw_fallback, observed 2026-08-16T04:33:53.332363Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 26b8610b-f4d0-4b32-bf55-f611e7fb96f3 · outbound

This paper cites Foundation Models for the Electric Power Grid.

Machine Learning for Physical Simulation Challenge Results and Retrospective Analysis: Power Grid Use Case Foundation Models for the Electric Power Grid

Reference 33

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no resolver link, observed 2026-08-16T04:33:53.225686Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:33:53.225686Z digest=sha256:865872dec48305909b4cbfcf7e319e26f1a83dada5d99f10a8474b3cbd42ee3d

Pith citing papers

No inbound Pith citation observations are available.