Paper Citation Record · LEDGER

Inferring viscoplastic models from velocity fields: a physics-informed neural network approach

As of 20 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 1 inbound Pith citation observation for arXiv:2506.17681.

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

pith.paper-citation-record.v1
2506.17681 v1

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:13:21.932046Z

measured 44 of 44 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-29T05:08:29.300278Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-06-29T18:23:51.184122Z

Reference resolution

43 of 43 outbound references displayed

verified exact1
verified fuzzy17
unresolved24
parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 22176904-205a-430e-abce-b56d05c5a36e · outbound

This paper cites Lenne, V.

Inferring viscoplastic models from velocity fields: a physics-informed neural network approach Lenne, V

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:13:23.970188Z

Source-reported events for the cited work

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Observation 8be3c05e-83df-48ec-ae12-8c161b4200a4 · outbound

This paper cites Davaille, P.

Inferring viscoplastic models from velocity fields: a physics-informed neural network approach Davaille, P

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:13:23.877720Z

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 89980e04-65cd-47d7-b9c5-3cdc5bcdbf19 · outbound

This paper cites Tommasi, D.

Inferring viscoplastic models from velocity fields: a physics-informed neural network approach Tommasi, D

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:13:23.825892Z

Source-reported events for the cited work

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Observation cbeda3a8-2ed8-4346-907b-4b72c04c4e86 · outbound

This paper cites an unresolved cited work.

Inferring viscoplastic models from velocity fields: a physics-informed neural network approach Unresolved cited work

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-15T19:13:20.794077Z

Source-reported events for the cited work

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Observation d93feb4c-061f-44a3-9142-91c84cce0a8c · outbound

This paper cites Guazzelli, O.

Inferring viscoplastic models from velocity fields: a physics-informed neural network approach Guazzelli, O

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-15T19:13:20.819409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 96d10ed4-d989-4bd8-8b81-f5dd973cb97b · outbound

This paper cites Etcheverry, Y.

Inferring viscoplastic models from velocity fields: a physics-informed neural network approach Etcheverry, Y

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:13:23.780294Z

Source-reported events for the cited work

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Observation fb6e5191-9cde-45b7-9c24-29478402fa99 · outbound

This paper cites an unresolved cited work.

Inferring viscoplastic models from velocity fields: a physics-informed neural network approach Unresolved cited work

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-15T19:13:20.864473Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 91eb8c49-ae2d-4902-8f65-7e3cfb39dcf3 · outbound

This paper cites Bongard, H.

Inferring viscoplastic models from velocity fields: a physics-informed neural network approach Bongard, H

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:13:23.717699Z

Source-reported events for the cited work

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Observation 1b718334-41b9-4f10-9433-43dd9b0fbc06 · outbound

This paper cites an unresolved cited work.

Inferring viscoplastic models from velocity fields: a physics-informed neural network approach Unresolved cited work

Reference 9

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Source-reported events for the cited work

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Observation bf804f61-1cbc-4c36-862c-54cefba307c5 · outbound

This paper cites Kaheman, J.

Inferring viscoplastic models from velocity fields: a physics-informed neural network approach Kaheman, J

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:13:23.624037Z

Source-reported events for the cited work

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Observation 663894a9-fe80-4ebd-848a-c1537e2504c6 · outbound

This paper cites an unresolved cited work.

Inferring viscoplastic models from velocity fields: a physics-informed neural network approach Unresolved cited work

Reference 11

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 26b2e376-1e2e-41b2-bab7-70b3e6826a2c · outbound

This paper cites Colen, M.

Inferring viscoplastic models from velocity fields: a physics-informed neural network approach Colen, M

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-15T19:13:21.114744Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5d48cc16-a5eb-4305-acdc-29e1aa2c4040 · outbound

This paper cites an unresolved cited work.

Inferring viscoplastic models from velocity fields: a physics-informed neural network approach Unresolved cited work

Reference 13

Resolution: unresolved; raw_fallback, observed 2026-08-15T19:13:23.525356Z

Source-reported events for the cited work

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Observation 2c8f0768-c208-49e3-ba90-80365af46332 · outbound

This paper cites Learning rheological parameters of non-Newtonian fluids from velocimetry data.

Inferring viscoplastic models from velocity fields: a physics-informed neural network approach Learning rheological parameters of non-Newtonian fluids from velocimetry data

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-15T19:13:21.206955Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6d460cc5-00ee-4372-b104-a4bfa80634e1 · outbound

This paper cites Solving Inverse Problems in Steady-State Navier-Stokes Equations using Deep Neural Networks.

Inferring viscoplastic models from velocity fields: a physics-informed neural network approach Solving Inverse Problems in Steady-State Navier-Stokes Equations using Deep Neural Networks

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-15T19:13:21.305754Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cda0d669-76f4-47ef-9c50-91509aca27f8 · outbound

This paper cites an unresolved cited work.

Inferring viscoplastic models from velocity fields: a physics-informed neural network approach Unresolved cited work

Reference 16

Resolution: unresolved; raw_fallback, observed 2026-08-15T19:13:23.504807Z

Source-reported events for the cited work

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Observation 334ee856-292c-468d-91f0-4b8ce2a31e4e · outbound

This paper cites an unresolved cited work.

Inferring viscoplastic models from velocity fields: a physics-informed neural network approach Unresolved cited work

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-15T19:13:21.346698Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 00ffa390-d67c-4b4f-820e-7302adc8eb75 · outbound

This paper cites Raissi, P.

Inferring viscoplastic models from velocity fields: a physics-informed neural network approach Raissi, P

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-15T19:13:21.353178Z

Source-reported events for the cited work

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Observation c6bc74cc-cae4-4721-b455-d695f1a7551c · outbound

This paper cites an unresolved cited work.

Inferring viscoplastic models from velocity fields: a physics-informed neural network approach Unresolved cited work

Reference 19

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Source-reported events for the cited work

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Observation b6f2c7c2-5c20-4125-b05b-b26c5d6b4784 · outbound

This paper cites an unresolved cited work.

Inferring viscoplastic models from velocity fields: a physics-informed neural network approach Unresolved cited work

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-15T19:13:21.367390Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 338d4203-3d40-4b92-bc9e-89be09558157 · outbound

This paper cites an unresolved cited work.

Inferring viscoplastic models from velocity fields: a physics-informed neural network approach Unresolved cited work

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-15T19:13:21.374152Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 902b9305-1950-4d6e-99de-39d5ad5b568e · outbound

This paper cites Raissi, A.

Inferring viscoplastic models from velocity fields: a physics-informed neural network approach Raissi, A

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-15T19:13:21.379632Z

Source-reported events for the cited work

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Observation d32b64d8-769f-47fc-bc4b-f69cd44e24a3 · outbound

This paper cites an unresolved cited work.

Inferring viscoplastic models from velocity fields: a physics-informed neural network approach Unresolved cited work

Reference 23

Resolution: unresolved; raw_fallback, observed 2026-08-15T19:13:23.404333Z

Source-reported events for the cited work

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Observation acf1810f-5115-48eb-a4a7-22376b373ff1 · outbound

This paper cites an unresolved cited work.

Inferring viscoplastic models from velocity fields: a physics-informed neural network approach Unresolved cited work

Reference 24

Resolution: unresolved; raw_fallback, observed 2026-08-15T19:13:23.385402Z

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 fe284b3e-b53a-47ab-ba24-ac4fbe164bba · outbound

This paper cites Thakur, M.

Inferring viscoplastic models from velocity fields: a physics-informed neural network approach Thakur, M

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:13:23.326882Z

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 a930151e-9d6a-479e-85a7-99c48bacab00 · outbound

This paper cites Mahmoudabadbozchelou, S.

Inferring viscoplastic models from velocity fields: a physics-informed neural network approach Mahmoudabadbozchelou, S

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:13:23.284371Z

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 2d3b2b4e-5833-4965-858a-98464b38e2cb · outbound

This paper cites Mahmoudabadbozchelou, K.

Inferring viscoplastic models from velocity fields: a physics-informed neural network approach Mahmoudabadbozchelou, K

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:13:23.261400Z

Source-reported events for the cited work

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Observation 05ccaff8-6e2f-4051-8a39-9f653aa88261 · outbound

This paper cites Cheddadi, P.

Inferring viscoplastic models from velocity fields: a physics-informed neural network approach Cheddadi, P

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:13:23.145922Z

Source-reported events for the cited work

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Observation 38c2b46b-d378-4577-91de-6a2f84e6088a · outbound

This paper cites Golovkova, L.

Inferring viscoplastic models from velocity fields: a physics-informed neural network approach Golovkova, L

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:13:23.124279Z

Source-reported events for the cited work

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Observation 23e37c82-d251-4fba-a3d8-f13682aa1d9f · outbound

This paper cites Tlili, M.

Inferring viscoplastic models from velocity fields: a physics-informed neural network approach Tlili, M

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:13:23.106502Z

Source-reported events for the cited work

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Observation ac0c51f9-2b4f-4138-947a-1892d650f665 · outbound

This paper cites an unresolved cited work.

Inferring viscoplastic models from velocity fields: a physics-informed neural network approach Unresolved cited work

Reference 31

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Source-reported events for the cited work

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Observation bf179bf2-86f9-4cf2-91f7-7e1841795994 · outbound

This paper cites an unresolved cited work.

Inferring viscoplastic models from velocity fields: a physics-informed neural network approach Unresolved cited work

Reference 32

Resolution: unresolved; raw_fallback, observed 2026-08-15T19:13:22.976348Z

Source-reported events for the cited work

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Observation d7e6d1a4-46ab-4344-b40a-6002ba9803fc · outbound

This paper cites an unresolved cited work.

Inferring viscoplastic models from velocity fields: a physics-informed neural network approach Unresolved cited work

Reference 33

Resolution: unresolved; raw_fallback, observed 2026-08-15T19:13:22.955606Z

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 dcc5ecf6-5a34-454e-aec3-4a8d01abfdb5 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Inferring viscoplastic models from velocity fields: a physics-informed neural network approach Adam: A Method for Stochastic Optimization

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-15T19:13:21.472651Z

Source-reported events for the cited work

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Observation 63aa87f1-fe26-4459-aca1-65ac75ca7407 · outbound

This paper cites an unresolved cited work.

Inferring viscoplastic models from velocity fields: a physics-informed neural network approach Unresolved cited work

Reference 35

Resolution: unresolved; raw_fallback, observed 2026-08-15T19:13:22.880580Z

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 e0626fbf-4f2d-4397-91df-738bbdda4104 · outbound

This paper cites Gsell, U.

Inferring viscoplastic models from velocity fields: a physics-informed neural network approach Gsell, U

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:13:22.793264Z

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 566c27e2-9551-4b24-baad-512202669ad3 · outbound

This paper cites Gsell, J.

Inferring viscoplastic models from velocity fields: a physics-informed neural network approach Gsell, J

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:13:22.774829Z

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 b9c4caa0-89ce-4865-9501-0f57a38a36ff · outbound

This paper cites Global physics-informed neural networks (GPINNs): from local point-wise constraint to global nodal association.

Inferring viscoplastic models from velocity fields: a physics-informed neural network approach Global physics-informed neural networks (GPINNs): from local point-wise constraint to global nodal association

Reference 38

Resolution: verified exact; local_arxiv, observed 2026-08-15T19:13:22.092972Z

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 2b49f953-87ef-4dbb-8c30-a1d16e37ce91 · outbound

This paper cites an unresolved cited work.

Inferring viscoplastic models from velocity fields: a physics-informed neural network approach Unresolved cited work

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-15T19:13:21.752628Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 49876fd4-94d8-44c9-8911-81ed215e0fef · outbound

This paper cites Weston, A.

Inferring viscoplastic models from velocity fields: a physics-informed neural network approach Weston, A

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:13:22.604798Z

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 e8ded31f-dbfc-4a9d-bc83-e0a825982d07 · outbound

This paper cites an unresolved cited work.

Inferring viscoplastic models from velocity fields: a physics-informed neural network approach Unresolved cited work

Reference 41

Resolution: unresolved; raw_fallback, observed 2026-08-15T19:13:22.504478Z

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 c5f345f2-0e1b-4538-9b92-3585df46ebd4 · outbound

This paper cites Narasimhan, Learning with complex loss functions and constraints, in: International Conference on Artificial Intelligence and Statistics, PMLR, 2018, pp.

Inferring viscoplastic models from velocity fields: a physics-informed neural network approach Narasimhan, Learning with complex loss functions and constraints, in: International Conference on Artificial Intelligence and Statistics, PMLR, 2018, pp

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:13:22.483176Z

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 a3a77e06-4349-4d09-9460-f195f8a01714 · outbound

This paper cites Cotter, H.

Inferring viscoplastic models from velocity fields: a physics-informed neural network approach Cotter, H

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:13:22.265781Z

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

Observation 1faa4148-8455-4f71-a770-2cedea02696e · inbound

Neural-Network-based Viscosity Closure for Non-Newtonian Multiphase Flows cites this paper.

Neural-Network-based Viscosity Closure for Non-Newtonian Multiphase Flows Inferring viscoplastic models from velocity fields: a physics-informed neural network approach

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-06-29T18:23:51.185618Z

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.