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Paper Citation Record · LEDGER

Enhanced State Estimation for turbulent flows combining Ensemble Data Assimilation and Machine Learning

As of 13 August 2026, this Paper Citation Record lists 72 of 72 outbound references and 0 inbound Pith citation observations for arXiv:2501.18262.

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

pith.paper-citation-record.v1
2501.18262 v1

Coverage vector

measured 72 of 72 reference resolution

Typed states for the displayed outbound observations.

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measured 72 of 72 standing notices

One-hop event checks from named stored sources.

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

72 of 72 outbound references displayed

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External citation measurements

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Outbound references

Observation 6aa7049f-0f26-480e-a4d8-bcea6a1ea5a9 · outbound

This paper cites an unresolved cited work.

Enhanced State Estimation for turbulent flows combining Ensemble Data Assimilation and Machine Learning Unresolved cited work

Reference 1

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This paper cites Evensen, F.

Enhanced State Estimation for turbulent flows combining Ensemble Data Assimilation and Machine Learning Evensen, F

Reference 2

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This paper cites Burkov, The Hundred-Page Machine Learning Book, Andriy Burkov, 2019.

Enhanced State Estimation for turbulent flows combining Ensemble Data Assimilation and Machine Learning Burkov, The Hundred-Page Machine Learning Book, Andriy Burkov, 2019

Reference 3

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This paper cites Brunton, B.

Enhanced State Estimation for turbulent flows combining Ensemble Data Assimilation and Machine Learning Brunton, B

Reference 4

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Observation bd94e2e7-7f3d-4412-a0c5-3cf1c7dec185 · outbound

This paper cites Gorl´ e, G.

Enhanced State Estimation for turbulent flows combining Ensemble Data Assimilation and Machine Learning Gorl´ e, G

Reference 5

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Enhanced State Estimation for turbulent flows combining Ensemble Data Assimilation and Machine Learning Unresolved cited work

Reference 6

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Observation a77232eb-5c17-48b9-a6d4-47d870bc758d · outbound

This paper cites Margheri, M.

Enhanced State Estimation for turbulent flows combining Ensemble Data Assimilation and Machine Learning Margheri, M

Reference 7

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Observation 2fcce7dc-f195-4e87-9e8c-b95d081192a3 · outbound

This paper cites Tracey, K.

Enhanced State Estimation for turbulent flows combining Ensemble Data Assimilation and Machine Learning Tracey, K

Reference 8

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Enhanced State Estimation for turbulent flows combining Ensemble Data Assimilation and Machine Learning Unresolved cited work

Reference 9

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Observation 61252751-3dd4-4511-a037-d3ea75c992da · outbound

This paper cites Srinivasan, L.

Enhanced State Estimation for turbulent flows combining Ensemble Data Assimilation and Machine Learning Srinivasan, L

Reference 10

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Enhanced State Estimation for turbulent flows combining Ensemble Data Assimilation and Machine Learning Unresolved cited work

Reference 11

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Observation f3a80279-24ac-40dc-ad3f-77b6b3ef30ab · outbound

This paper cites Villanueva, M.

Enhanced State Estimation for turbulent flows combining Ensemble Data Assimilation and Machine Learning Villanueva, M

Reference 12

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Observation 6452f4c8-0341-4e61-86bd-80349e3573e0 · outbound

This paper cites Meldi, D.

Enhanced State Estimation for turbulent flows combining Ensemble Data Assimilation and Machine Learning Meldi, D

Reference 13

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This paper cites Vollant, G.

Enhanced State Estimation for turbulent flows combining Ensemble Data Assimilation and Machine Learning Vollant, G

Reference 14

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Enhanced State Estimation for turbulent flows combining Ensemble Data Assimilation and Machine Learning Unresolved cited work

Reference 15

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Observation 7e9c185f-cd3b-4fda-a02d-92cd0c232bf3 · outbound

This paper cites Chandramouli, E.

Enhanced State Estimation for turbulent flows combining Ensemble Data Assimilation and Machine Learning Chandramouli, E

Reference 16

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Observation 2fe2e41c-bde6-478b-8d10-f0c319b8834c · outbound

This paper cites Lozano-Dur´ an, J.

Enhanced State Estimation for turbulent flows combining Ensemble Data Assimilation and Machine Learning Lozano-Dur´ an, J

Reference 17

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Observation fd7c969a-068d-4c91-afff-96a6c29c8c4a · outbound

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Enhanced State Estimation for turbulent flows combining Ensemble Data Assimilation and Machine Learning Unresolved cited work

Reference 18

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This paper cites Moldovan, A.

Enhanced State Estimation for turbulent flows combining Ensemble Data Assimilation and Machine Learning Moldovan, A

Reference 19

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This paper cites Villanueva, K.

Enhanced State Estimation for turbulent flows combining Ensemble Data Assimilation and Machine Learning Villanueva, K

Reference 20

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Enhanced State Estimation for turbulent flows combining Ensemble Data Assimilation and Machine Learning Plogmann, O

Reference 21

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This paper cites Molinaro, J.-S.

Enhanced State Estimation for turbulent flows combining Ensemble Data Assimilation and Machine Learning Molinaro, J.-S

Reference 22

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Enhanced State Estimation for turbulent flows combining Ensemble Data Assimilation and Machine Learning Unresolved cited work

Reference 23

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Enhanced State Estimation for turbulent flows combining Ensemble Data Assimilation and Machine Learning Unresolved cited work

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This paper cites Sharma, E.

Enhanced State Estimation for turbulent flows combining Ensemble Data Assimilation and Machine Learning Sharma, E

Reference 25

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This paper cites Schena, P.

Enhanced State Estimation for turbulent flows combining Ensemble Data Assimilation and Machine Learning Schena, P

Reference 26

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Enhanced State Estimation for turbulent flows combining Ensemble Data Assimilation and Machine Learning Unresolved cited work

Reference 27

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Observation 7f43fd75-3b9c-4574-9a13-6e240fbe7f69 · outbound

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Enhanced State Estimation for turbulent flows combining Ensemble Data Assimilation and Machine Learning White, D

Reference 28

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Enhanced State Estimation for turbulent flows combining Ensemble Data Assimilation and Machine Learning Kochkov, J

Reference 29

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This paper cites Neural Differentiable Modeling with Diffusion-Based Super-resolution for Two-Dimensional Spatiotemporal Turbulence.

Enhanced State Estimation for turbulent flows combining Ensemble Data Assimilation and Machine Learning Neural Differentiable Modeling with Diffusion-Based Super-resolution for Two-Dimensional Spatiotemporal Turbulence

Reference 30

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This paper cites Evensen, The ensemble kalman filter for combined state and param- eter estimation, IEEE Control Systems Magazine (2009) 83–104.

Enhanced State Estimation for turbulent flows combining Ensemble Data Assimilation and Machine Learning Evensen, The ensemble kalman filter for combined state and param- eter estimation, IEEE Control Systems Magazine (2009) 83–104

Reference 31

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Observation 42a6f8b4-7ba3-4319-a0e8-7e0f12808158 · outbound

This paper cites Brajard, A.

Enhanced State Estimation for turbulent flows combining Ensemble Data Assimilation and Machine Learning Brajard, A

Reference 32

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Observation 5a814b47-d911-4f2c-844a-051a93ad5b71 · outbound

This paper cites Farchi, P.

Enhanced State Estimation for turbulent flows combining Ensemble Data Assimilation and Machine Learning Farchi, P

Reference 33

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This paper cites Arcucci, J.

Enhanced State Estimation for turbulent flows combining Ensemble Data Assimilation and Machine Learning Arcucci, J

Reference 34

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Observation c9786e43-ec0c-4ad6-af24-5fd0aadc111b · outbound

This paper cites Villiers, V.

Enhanced State Estimation for turbulent flows combining Ensemble Data Assimilation and Machine Learning Villiers, V

Reference 35

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Source-reported events for the cited work

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This paper cites A unified method of data assimilation and turbulence modeling for separated flows at high Reynolds numbers.

Enhanced State Estimation for turbulent flows combining Ensemble Data Assimilation and Machine Learning A unified method of data assimilation and turbulence modeling for separated flows at high Reynolds numbers

Reference 36

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Observation 7241c322-48f2-47d7-b7a0-634528ecc160 · outbound

This paper cites Active learning of data-assimilation closures using Graph Neural Networks.

Enhanced State Estimation for turbulent flows combining Ensemble Data Assimilation and Machine Learning Active learning of data-assimilation closures using Graph Neural Networks

Reference 37

Resolution
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Enhanced State Estimation for turbulent flows combining Ensemble Data Assimilation and Machine Learning Unresolved cited work

Reference 38

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Observation c53e2cb3-6f10-4200-b9ca-fd7175151f12 · outbound

This paper cites Breiman, Random forests, Machine Learning 45 (2001) 5–32.

Enhanced State Estimation for turbulent flows combining Ensemble Data Assimilation and Machine Learning Breiman, Random forests, Machine Learning 45 (2001) 5–32

Reference 39

Resolution
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Observation 13d247c2-ce11-4467-af8d-1eb69b47d8cc · outbound

This paper cites Angot, C.-H.

Enhanced State Estimation for turbulent flows combining Ensemble Data Assimilation and Machine Learning Angot, C.-H

Reference 40

Resolution
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Observation 41787959-79ae-4470-80f1-e50239a33c26 · outbound

This paper cites Verzicco, Immersed boundary methods: Historical perspective and future outlook, Annual Review of Fluid Mechanics 55 (2022) 129 – 155.

Enhanced State Estimation for turbulent flows combining Ensemble Data Assimilation and Machine Learning Verzicco, Immersed boundary methods: Historical perspective and future outlook, Annual Review of Fluid Mechanics 55 (2022) 129 – 155

Reference 41

Resolution
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Observation f7d4e740-94e0-467d-bb6b-cf11cb499097 · outbound

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Reference 42

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Observation 6fbc4ea0-7d30-4347-905d-56ea3c8d6e18 · outbound

This paper cites Ferziger, M.

Enhanced State Estimation for turbulent flows combining Ensemble Data Assimilation and Machine Learning Ferziger, M

Reference 43

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Observation d9eb8e0f-8bea-4df3-808d-62835508f5a9 · outbound

This paper cites Greenshields, H.

Enhanced State Estimation for turbulent flows combining Ensemble Data Assimilation and Machine Learning Greenshields, H

Reference 44

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Observation bcd8aa86-d93b-4574-b8b8-155e2564307d · outbound

This paper cites Issa, Solution of the implicitly discretised fluid flow equations by operator-splitting, Journal of Computational Physics 62 (1) (1986) 40–.

Enhanced State Estimation for turbulent flows combining Ensemble Data Assimilation and Machine Learning Issa, Solution of the implicitly discretised fluid flow equations by operator-splitting, Journal of Computational Physics 62 (1) (1986) 40–

Reference 45

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Observation b4731f93-66ad-4e55-8551-5b03c3188c7e · outbound

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Enhanced State Estimation for turbulent flows combining Ensemble Data Assimilation and Machine Learning Unresolved cited work

Reference 46

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Observation a9f0709f-bf3e-4ac6-bb6e-fb02edfd2b38 · outbound

This paper cites openfoam.com.

Enhanced State Estimation for turbulent flows combining Ensemble Data Assimilation and Machine Learning openfoam.com

Reference 47

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Observation b949b296-cc1b-4712-a34d-1ff01b56aeca · outbound

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Reference 48

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Enhanced State Estimation for turbulent flows combining Ensemble Data Assimilation and Machine Learning Unresolved cited work

Reference 49

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Observation 596851b0-f3ad-411b-a8c6-bc9f6f1aaf62 · outbound

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Reference 50

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Observation 2d793f8c-4d75-4c14-9e42-9352620ffce8 · outbound

This paper cites Roßbach, Neural networks vs.

Enhanced State Estimation for turbulent flows combining Ensemble Data Assimilation and Machine Learning Roßbach, Neural networks vs

Reference 51

Resolution
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Observation 8821b39b-8dff-46a2-9a9a-25ee78ea47cf · outbound

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Reference 52

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Observation f9687390-adf9-4a7c-bec9-7d55384d5087 · outbound

This paper cites de Zordo-Banliat, G.

Enhanced State Estimation for turbulent flows combining Ensemble Data Assimilation and Machine Learning de Zordo-Banliat, G

Reference 53

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Observation 0dd1f228-c514-4c33-9fd9-133c4649ae91 · outbound

This paper cites Space-dependent Aggregation of Stochastic Data-driven Turbulence Models.

Enhanced State Estimation for turbulent flows combining Ensemble Data Assimilation and Machine Learning Space-dependent Aggregation of Stochastic Data-driven Turbulence Models

Reference 54

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Observation 0cda75f0-d095-4eb1-ab3a-db7f09916a77 · outbound

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Reference 55

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Observation ff9f33d7-fbed-4cb5-b9ef-729b52e859c6 · outbound

This paper cites Wang, J.-L.

Enhanced State Estimation for turbulent flows combining Ensemble Data Assimilation and Machine Learning Wang, J.-L

Reference 56

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Observation bc8b1906-23af-4e91-aa3d-f37d2052b44e · outbound

This paper cites Heyse, A.

Enhanced State Estimation for turbulent flows combining Ensemble Data Assimilation and Machine Learning Heyse, A

Reference 57

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Observation a2634f1e-2ba8-40c7-8fdc-be38beb3302c · outbound

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Reference 58

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Observation 64b96710-6a65-41db-aae4-8bb7d328c5f9 · outbound

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Reference 59

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Observation 92b5960b-3f77-4c27-9a69-5d3f4a26663c · outbound

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Enhanced State Estimation for turbulent flows combining Ensemble Data Assimilation and Machine Learning Hoyas, J

Reference 60

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Observation e662d6cd-9232-49d5-a6d4-ea81c9748f6e · outbound

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Enhanced State Estimation for turbulent flows combining Ensemble Data Assimilation and Machine Learning Bernardini, S

Reference 61

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Observation b3c0b4c1-2fa0-42a8-a256-d60112966267 · outbound

This paper cites Cimarelli, E.

Enhanced State Estimation for turbulent flows combining Ensemble Data Assimilation and Machine Learning Cimarelli, E

Reference 62

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Observation a8ccb632-d296-4e80-aff5-af2d787608c9 · outbound

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Reference 63

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Observation 6163ceda-10bb-474d-9782-45c7bb408fbf · outbound

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Reference 64

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Reference 66

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Observation 7a04cf64-7751-48d3-9c31-b2a9057948d1 · outbound

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Reference 67

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Observation e0ee76dc-f858-4dfe-b909-d34fc620722a · outbound

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Enhanced State Estimation for turbulent flows combining Ensemble Data Assimilation and Machine Learning Maejima, K

Reference 68

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Reference 69

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Observation 120292f1-36f7-4a6b-9a24-5aa25df91a81 · outbound

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Reference 70

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Observation cffc9aed-687b-4a5f-aae3-59e01a6a8bf7 · outbound

This paper cites Carrassi, M.

Enhanced State Estimation for turbulent flows combining Ensemble Data Assimilation and Machine Learning Carrassi, M

Reference 71

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Observation 9802b335-3895-4412-831c-8e671f280a30 · outbound

This paper cites Hoteit, D.-T.

Enhanced State Estimation for turbulent flows combining Ensemble Data Assimilation and Machine Learning Hoteit, D.-T

Reference 72

Resolution
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raw_fallback, observed 2026-08-10T00:14:26.888097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T00:14:26.021395Z digest=sha256:422c1db7b139f5e364a43d0207e8eef91cf29fc209c5b8e74e9b9d7082b7de4e

Pith citing papers

No inbound Pith citation observations are available.