Pith. sign in

Paper Citation Record · LEDGER

Geometry-aware PINNs for Turbulent Flow Prediction

As of 23 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 2026-08-23T06:30:58.430688+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.

source=arxiv_source observed=2026-08-12T00:08:09.165805Z digest=sha256:f85c9f475fd22d2f57e70260772874bd8f2ecd7551c584ca891c2da63b7ac040

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.

source=arxiv_source observed=2026-08-12T00:08:09.173848Z digest=sha256:46a8ddd870fdc04dcd5d98742ddb51b4d7e521cffbef5efde6c9a4ab4ffe9e21

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 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-12T00:08:09.180010Z digest=sha256:dc92872aed85db96b6f9856ed8e5edcad660e822e8163aac2112994a10f08fa1

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 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-12T00:08:09.185460Z digest=sha256:8630bb05e8c118317a8b4627a5618ac8df4c9c0e6ab5e086c6710088cca0c41a

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 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-12T00:08:09.191576Z digest=sha256:39ff751ee98ff164be4553bc9cac2850954d002da07639faa1e4bc5f9c932cfd

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 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-12T00:08:09.197606Z digest=sha256:ea17ef2abe648ef67ff089971905267af25f19d16407c1460930590566d42008

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 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-12T00:08:09.203979Z digest=sha256:c79ecf59d4eba6ff19a31f5a17d958d93f3c7d16c8d6e32d839668ed0b207a72

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 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-12T00:08:09.209626Z digest=sha256:b1cb302a50e89e45b248bf4b375a27bcff0852dd5646fae06f0446de81f335d9

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.

source=arxiv_source observed=2026-08-12T00:08:09.215868Z digest=sha256:eadce0d2c4e990278b1a2b507ce1a31ea9c68d4385be9e6698a3c371136a5f6d

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 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-12T00:08:09.221789Z digest=sha256:ab115b98bbdcafabf185c322900a29d1129302bd65a53ced567a3f7e60f6c105

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 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-12T00:08:09.227491Z digest=sha256:cbd20f30150ccb9499b53f6417fc4da58f2018f33596e2563708166509131668

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.

source=arxiv_source observed=2026-08-12T00:08:09.232971Z digest=sha256:b186e9b59747fcb9879ad38ccfde560a94ec0267dfd1a94ad72423d7777e83fd

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 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-12T00:08:09.239185Z digest=sha256:c0d095b2ec2e501bfedbecbc422e1fcf0c2117a34777482b26ae842536b5499a

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 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-12T00:08:09.244726Z digest=sha256:14c391bedba7a0238ea4282062f82a42ecbb2da792efd7df1ef0aaa0a701101c

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 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-12T00:08:09.250029Z digest=sha256:d1fcfb8374d29607d10e2a90fa3d6f10c49fc910dab71cf09ae47818f7c25df0

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.

source=arxiv_source observed=2026-08-12T00:08:09.255605Z digest=sha256:969d9a72c6c0f7bfa65e7d1279a3f07f62e23621f272e09a5409c16516f26d92

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 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-12T00:08:09.261034Z digest=sha256:975d4b9892a5e7d7edd93183196371fd4389c3dfd21569cd1a8426e3ef16976b

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.

source=arxiv_source observed=2026-08-12T00:08:09.266507Z digest=sha256:18723776ed01a879c19f392f9dc3183192674aa4c8c17c121a99bfe39e4c5778

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 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-12T00:08:09.271904Z digest=sha256:74dc0469092b3778a0cda6b7e066c9fc5d94413d163ec236900a9166b4c83260

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 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-12T00:08:09.278177Z digest=sha256:d27996cdac2189e1a4ffee7b9f7648cc0e9b2f1d26153387b6a8b38863da3fbe

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 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-12T00:08:09.283824Z digest=sha256:2dd4da79962f63fc37c8d372f0f2066e74d5893a070eabe1d5ea47bee35cd1ef

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 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-12T00:08:09.289282Z digest=sha256:cb53a4ffcd579b8b92384cbf127941c48fc824ee27c3f7b14a6eb4b135abc2f3

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 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-12T00:08:09.294858Z digest=sha256:c9fb501d8978ff901d6ff86fb554389bf0fd4814de7f4334e1a349cc3655797d

Pith citing papers

No inbound Pith citation observations are available.