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Paper Citation Record · LEDGER

From Models To Experiments: Shallow Recurrent Decoder Networks on the DYNASTY Experimental Facility

As of 10 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2503.08907.

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

pith.paper-citation-record.v1
2503.08907 v2

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-22T23:55:32.237206Z

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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

30 of 30 outbound references displayed

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  • verified fuzzy23
  • unresolved4
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 56c5907a-83b1-4716-b5f9-35562e3ee134 · outbound

This paper cites The heat sink is repre- sented by the upper finned tube, optionally cooled from below through an air fan.

From Models To Experiments: Shallow Recurrent Decoder Networks on the DYNASTY Experimental Facility The heat sink is repre- sented by the upper finned tube, optionally cooled from below through an air fan

Reference 1

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Observation ce32e410-4b8d-4459-895d-c2bd0ebf4bf8 · outbound

This paper cites an unresolved cited work.

From Models To Experiments: Shallow Recurrent Decoder Networks on the DYNASTY Experimental Facility Unresolved cited work

Reference 2

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 29fb6c89-2e90-4e82-bc6b-54259be92c76 · outbound

This paper cites an unresolved cited work.

From Models To Experiments: Shallow Recurrent Decoder Networks on the DYNASTY Experimental Facility Unresolved cited work

Reference 3

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Observation 5ab449f9-4317-49ce-a5a3-4ef2c748a99e · outbound

This paper cites The model knowledge is used for training up to a certain time, and then real data are used to reconstruct the whole state for times outside the training range (Section IV C).

From Models To Experiments: Shallow Recurrent Decoder Networks on the DYNASTY Experimental Facility The model knowledge is used for training up to a certain time, and then real data are used to reconstruct the whole state for times outside the training range (Section IV C)

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 0003ffb0-7362-4ecd-acad-e0fb8a6f9376 · outbound

This paper cites an unresolved cited work.

From Models To Experiments: Shallow Recurrent Decoder Networks on the DYNASTY Experimental Facility Unresolved cited work

Reference 5

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Source-reported events for the cited work

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Observation 1dfcdd74-32ac-4fc3-b149-10fcd17a0b17 · outbound

This paper cites an unresolved cited work.

From Models To Experiments: Shallow Recurrent Decoder Networks on the DYNASTY Experimental Facility Unresolved cited work

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 9426aabd-159b-4f5a-81ab-57515cdc136b · outbound

This paper cites Argaud, B Bouriquet, F de Caso, H Gong, Y Maday, and O Mula.

From Models To Experiments: Shallow Recurrent Decoder Networks on the DYNASTY Experimental Facility Argaud, B Bouriquet, F de Caso, H Gong, Y Maday, and O Mula

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 2e8a2581-4a66-4192-885a-7e4281b152e5 · outbound

This paper cites A real-time variational data assimilation method with data- driven model enrichment for time-dependent problems.

From Models To Experiments: Shallow Recurrent Decoder Networks on the DYNASTY Experimental Facility A real-time variational data assimilation method with data- driven model enrichment for time-dependent problems

Reference 8

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Observation fbac30d4-3b13-4711-bc6c-ea3c478a0f31 · outbound

This paper cites Multi-physics model bias correction with data-driven re- duced order techniques: Application to nuclear case stud- ies.

From Models To Experiments: Shallow Recurrent Decoder Networks on the DYNASTY Experimental Facility Multi-physics model bias correction with data-driven re- duced order techniques: Application to nuclear case stud- ies

Reference 9

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Observation c8c9296e-2dcf-4302-8933-685a851db4c0 · outbound

This paper cites Model Order Reduction in Fluid Dynam- ics: Challenges and Perspectives.

From Models To Experiments: Shallow Recurrent Decoder Networks on the DYNASTY Experimental Facility Model Order Reduction in Fluid Dynam- ics: Challenges and Perspectives

Reference 10

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Source-reported events for the cited work

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Observation 9f1eb277-7772-4208-b9ad-b2efecc8cb16 · outbound

This paper cites An efficient digital twin based on machine learning SVD au- toencoder and generalised latent assimilation for nuclear reactor physics.

From Models To Experiments: Shallow Recurrent Decoder Networks on the DYNASTY Experimental Facility An efficient digital twin based on machine learning SVD au- toencoder and generalised latent assimilation for nuclear reactor physics

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 8290166d-52ad-4d02-9f8b-b9d81656354d · outbound

This paper cites Data-Driven Science and Engineering: Machine Learning, Dynami- cal Systems, and Control.

From Models To Experiments: Shallow Recurrent Decoder Networks on the DYNASTY Experimental Facility Data-Driven Science and Engineering: Machine Learning, Dynami- cal Systems, and Control

Reference 12

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 49a5abe5-676d-44fb-8c12-df490facd3af · outbound

This paper cites Efficient deep data assimilation with sparse observations and time-varying sensors.

From Models To Experiments: Shallow Recurrent Decoder Networks on the DYNASTY Experimental Facility Efficient deep data assimilation with sparse observations and time-varying sensors

Reference 13

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation a71c9dec-cd13-4214-9925-eb5436f23ed7 · outbound

This paper cites Model Order Reduction: Volume 2: Snapshot-Based Methods and Algorithms.

From Models To Experiments: Shallow Recurrent Decoder Networks on the DYNASTY Experimental Facility Model Order Reduction: Volume 2: Snapshot-Based Methods and Algorithms

Reference 14

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation a8b5925a-f8c3-4f77-b7cf-f050a6d85840 · outbound

This paper cites Data-driven sensor placement with shallow decoder networks.

From Models To Experiments: Shallow Recurrent Decoder Networks on the DYNASTY Experimental Facility Data-driven sensor placement with shallow decoder networks

Reference 15

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation e33ac1f4-4b8c-4d83-8f72-bace0cd89a89 · outbound

This paper cites Shallow Recurrent Decoder for Reduced Order Modeling of Plasma Dynamics.

From Models To Experiments: Shallow Recurrent Decoder Networks on the DYNASTY Experimental Facility Shallow Recurrent Decoder for Reduced Order Modeling of Plasma Dynamics

Reference 16

Resolution
verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation dce3b068-ee59-4a4e-b197-4a41c0958aab · outbound

This paper cites Reduced Order Modeling with Shallow Recurrent Decoder Networks.

From Models To Experiments: Shallow Recurrent Decoder Networks on the DYNASTY Experimental Facility Reduced Order Modeling with Shallow Recurrent Decoder Networks

Reference 17

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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation a18e2f18-ae40-4c91-a07c-3edfda4dbaf0 · outbound

This paper cites Nathan Kutz.

From Models To Experiments: Shallow Recurrent Decoder Networks on the DYNASTY Experimental Facility Nathan Kutz

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 30ac88db-a7c0-434b-92c1-6c82ad694883 · outbound

This paper cites A parameterized-background data-weak approach to variational data assimilation: formulation, analysis, and application to acoustics.

From Models To Experiments: Shallow Recurrent Decoder Networks on the DYNASTY Experimental Facility A parameterized-background data-weak approach to variational data assimilation: formulation, analysis, and application to acoustics

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation e28b45b2-64fb-4976-a487-054dd65555a7 · outbound

This paper cites Technology Roadmap Update for Generation IV Nuclear Energy Sys- tems.

From Models To Experiments: Shallow Recurrent Decoder Networks on the DYNASTY Experimental Facility Technology Roadmap Update for Generation IV Nuclear Energy Sys- tems

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation d6eb2934-8e7d-435a-86eb-f66170040fb8 · outbound

This paper cites Relap5/mod3 code man- ual.

From Models To Experiments: Shallow Recurrent Decoder Networks on the DYNASTY Experimental Facility Relap5/mod3 code man- ual

Reference 22

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 565d82fb-8c99-4e4d-aa2a-956712dc63d4 · outbound

This paper cites Long short- term memory.

From Models To Experiments: Shallow Recurrent Decoder Networks on the DYNASTY Experimental Facility Long short- term memory

Reference 23

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Observation d59d1bd5-1ea6-451a-9c5e-6666304aaee4 · outbound

This paper cites Shallow neural networks for fluid flow reconstruc- tion with limited sensors.

From Models To Experiments: Shallow Recurrent Decoder Networks on the DYNASTY Experimental Facility Shallow neural networks for fluid flow reconstruc- tion with limited sensors

Reference 24

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation c460581a-8c16-445a-8b35-1b55e2689dce · outbound

This paper cites Dynamics in natural circulation loop for internally heated molten salt.

From Models To Experiments: Shallow Recurrent Decoder Networks on the DYNASTY Experimental Facility Dynamics in natural circulation loop for internally heated molten salt

Reference 25

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 0be29355-dbc2-4395-999a-227d6ace1014 · outbound

This paper cites Capability of the relap5 code to simulate natural circulation behavior in test facilities.

From Models To Experiments: Shallow Recurrent Decoder Networks on the DYNASTY Experimental Facility Capability of the relap5 code to simulate natural circulation behavior in test facilities

Reference 26

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 457d2f69-cb0b-4995-86a1-0b29f05446e5 · outbound

This paper cites Fundamentals of heat and mass transfer.

From Models To Experiments: Shallow Recurrent Decoder Networks on the DYNASTY Experimental Facility Fundamentals of heat and mass transfer

Reference 27

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 4e04c5ea-fd15-4042-afd0-cf55aee669ee · outbound

This paper cites Handbook of hydraulic resistance.

From Models To Experiments: Shallow Recurrent Decoder Networks on the DYNASTY Experimental Facility Handbook of hydraulic resistance

Reference 28

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 45ccedc3-be04-4937-879e-252e53f7d8ee · outbound

This paper cites A Novel Approach for Parametric Dynamic Mode Decomposition: Applica- tion to the DYNASTY Experimental Facility.

From Models To Experiments: Shallow Recurrent Decoder Networks on the DYNASTY Experimental Facility A Novel Approach for Parametric Dynamic Mode Decomposition: Applica- tion to the DYNASTY Experimental Facility

Reference 29

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verified fuzzy
raw_fallback, observed 2026-05-22T23:57:17.410457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 9bdaa3b2-9e14-418d-9aa6-777b3576d831 · outbound

This paper cites Preliminary validation of the 1d model- ing of the dynasty natural circulation loop against results from water experimental campaign.

From Models To Experiments: Shallow Recurrent Decoder Networks on the DYNASTY Experimental Facility Preliminary validation of the 1d model- ing of the dynasty natural circulation loop against results from water experimental campaign

Reference 30

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 3ec85e0d-b257-45e1-8b9a-5c3fd31b14dd · outbound

This paper cites Model order reduction methods for data assimilation; state estimation and structural health monitoring.

From Models To Experiments: Shallow Recurrent Decoder Networks on the DYNASTY Experimental Facility Model order reduction methods for data assimilation; state estimation and structural health monitoring

Reference 31

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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