Paper Citation Record · LEDGER

Geometry-aware PINNs for Turbulent Flow Prediction

As of 20 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 0 inbound Pith citation observations for arXiv:2412.01954.

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

pith.paper-citation-record.v1
2412.01954 v1

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T00:08:09.294858Z

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+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

23 of 23 outbound references displayed

verified exact4
verified fuzzy9
unresolved10
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation de47467b-f167-4b73-b26c-28d00f0721a8 · outbound

This paper cites Chen and N.

Geometry-aware PINNs for Turbulent Flow Prediction Chen and N

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-12T00:08:09.165805Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a61e8598-bde5-498e-9b08-a3ed01113b44 · outbound

This paper cites Distributed physics informed neural network for data-efficient solution to partial differential equations.

Geometry-aware PINNs for Turbulent Flow Prediction Distributed physics informed neural network for data-efficient solution to partial differential equations

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-12T00:08:09.173848Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 95d4ba82-0e91-4c82-9725-1c2fe0b51a8b · outbound

This paper cites Eivazi, M.

Geometry-aware PINNs for Turbulent Flow Prediction Eivazi, M

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:08:09.820426Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 16e4c7fa-3e36-4b2d-bf8a-ce91678356d8 · outbound

This paper cites Ghosh, A.

Geometry-aware PINNs for Turbulent Flow Prediction Ghosh, A

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:08:09.803780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 59c1271a-05d7-46a9-a9dd-ff7c2e5370b2 · outbound

This paper cites an unresolved cited work.

Geometry-aware PINNs for Turbulent Flow Prediction Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-12T00:08:09.786039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 4bd7b64c-e3f4-4a8e-a064-d9ce5adc73db · outbound

This paper cites Hanrahan, M.

Geometry-aware PINNs for Turbulent Flow Prediction Hanrahan, M

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:08:09.768203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation dd2f6a56-7db2-43ed-af25-c20a1a07a3cd · outbound

This paper cites Lat-Net: Compressing Lattice Boltzmann Flow Simulations using Deep Neural Networks.

Geometry-aware PINNs for Turbulent Flow Prediction Lat-Net: Compressing Lattice Boltzmann Flow Simulations using Deep Neural Networks

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-08-12T00:08:09.451315Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 8606204a-28f8-4461-91ae-99e0000540a5 · outbound

This paper cites Hsieh, S.

Geometry-aware PINNs for Turbulent Flow Prediction Hsieh, S

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:08:09.751216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a62d34f5-c6a0-4922-8344-9d8d50950f62 · outbound

This paper cites MeshfreeFlowNet: A Physics-Constrained Deep Continuous Space-Time Super-Resolution Framework.

Geometry-aware PINNs for Turbulent Flow Prediction MeshfreeFlowNet: A Physics-Constrained Deep Continuous Space-Time Super-Resolution Framework

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-12T00:08:09.215868Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 17d9abf0-7b60-4e05-99c7-7fc068580a21 · outbound

This paper cites Kochkov, J.

Geometry-aware PINNs for Turbulent Flow Prediction Kochkov, J

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:08:09.733151Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 4ffb5fa0-f446-42f5-bb78-b7ee4e3f66f6 · outbound

This paper cites an unresolved cited work.

Geometry-aware PINNs for Turbulent Flow Prediction Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-08-12T00:08:09.716460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 0e7fee0b-779f-4e1b-a395-86aa6f30dbf2 · outbound

This paper cites DeepXDE: A deep learning library for solving differential equations.

Geometry-aware PINNs for Turbulent Flow Prediction DeepXDE: A deep learning library for solving differential equations

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-12T00:08:09.232971Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 27829bb3-65c1-40a3-8fa7-30e1a4024c7f · outbound

This paper cites Majchrzak, K.

Geometry-aware PINNs for Turbulent Flow Prediction Majchrzak, K

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:08:09.700261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation fafaa0d9-5391-4959-a610-885f2954cbf9 · outbound

This paper cites an unresolved cited work.

Geometry-aware PINNs for Turbulent Flow Prediction Unresolved cited work

Reference 14

Resolution: unresolved; raw_fallback, observed 2026-08-12T00:08:09.683733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation cf88f8a6-c174-4e02-af3b-fab412d258b2 · outbound

This paper cites Oldenburg, F.

Geometry-aware PINNs for Turbulent Flow Prediction Oldenburg, F

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:08:09.668155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 36b2b257-4d73-4247-9cd2-23ca6b3f7326 · outbound

This paper cites Patel, V.

Geometry-aware PINNs for Turbulent Flow Prediction Patel, V

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-12T00:08:09.255605Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bd46af45-c3c1-44a8-802b-4073c69f6cde · outbound

This paper cites Pioch, J.

Geometry-aware PINNs for Turbulent Flow Prediction Pioch, J

Reference 17

Resolution: verified exact; doi, observed 2026-08-12T00:08:09.334615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 79daac6c-7714-4142-beed-583cb33febd7 · outbound

This paper cites Raissi, P.

Geometry-aware PINNs for Turbulent Flow Prediction Raissi, P

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-12T00:08:09.266507Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3fdc755e-93c8-48c8-bf2b-9200e0d93c82 · outbound

This paper cites Vinuesa and S.

Geometry-aware PINNs for Turbulent Flow Prediction Vinuesa and S

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:08:09.641706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation bbaa238c-1bba-4a0c-80a5-9f665578e276 · outbound

This paper cites an unresolved cited work.

Geometry-aware PINNs for Turbulent Flow Prediction Unresolved cited work

Reference 20

Resolution: unresolved; raw_fallback, observed 2026-08-12T00:08:09.625612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b6644b76-9633-4e31-b8db-f08281c3e0f6 · outbound

This paper cites Warey, S.

Geometry-aware PINNs for Turbulent Flow Prediction Warey, S

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:08:09.607642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 6b1d8746-372a-4eae-ab42-f296abed5079 · outbound

This paper cites Frequency-compensated PINNs for Fluid-dynamic Design Problems.

Geometry-aware PINNs for Turbulent Flow Prediction Frequency-compensated PINNs for Fluid-dynamic Design Problems

Reference 22

Resolution: verified exact; local_arxiv, observed 2026-08-12T00:08:09.395421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 91fb856d-90c7-4b73-8737-af5a5243a180 · outbound

This paper cites Demystifying the Data Need of ML-surrogates for CFD Simulations.

Geometry-aware PINNs for Turbulent Flow Prediction Demystifying the Data Need of ML-surrogates for CFD Simulations

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-08-12T00:08:09.370880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Pith citing papers

No inbound Pith citation observations are available.