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Paper Citation Record · LEDGER

Causal Multi-fidelity Surrogate Forward and Inverse Models for ICF Implosions

As of 22 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 0 inbound Pith citation observations for arXiv:2509.05510.

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

pith.paper-citation-record.v1
2509.05510 v3

Coverage vector

measured 51 of 51 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T05:32:21.832580Z

measured 51 of 51 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+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

51 of 51 outbound references displayed

  • verified exact2
  • verified fuzzy40
  • unresolved8
  • parse uncertain1
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5b068530-30e3-4933-ba94-4cc8ce79d01b · outbound

This paper cites Tops: A multigroup opacity code.

Causal Multi-fidelity Surrogate Forward and Inverse Models for ICF Implosions Tops: A multigroup opacity code

Reference 1

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 11646e14-6123-4d5f-8614-e2e1d49987e5 · outbound

This paper cites Improved surrogates in inertial confinement fusion with manifold and cycle consistencies.Proceedings of the National Academy of Sciences, 117(18):9741–9746, 2020.

Causal Multi-fidelity Surrogate Forward and Inverse Models for ICF Implosions Improved surrogates in inertial confinement fusion with manifold and cycle consistencies.Proceedings of the National Academy of Sciences, 117(18):9741–9746, 2020

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T05:32:22.625818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 8b668491-1384-4244-8cb0-44976bdf932b · outbound

This paper cites an unresolved cited work.

Causal Multi-fidelity Surrogate Forward and Inverse Models for ICF Implosions Unresolved cited work

Reference 3

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 824b201f-fa19-4ab1-b4c1-3beddaaee310 · outbound

This paper cites Neural machine translation by jointly learning to align and translate.

Causal Multi-fidelity Surrogate Forward and Inverse Models for ICF Implosions Neural machine translation by jointly learning to align and translate

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T05:32:22.596833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T05:32:21.617885Z digest=sha256:45d5bc5677cdb7c01c9cc65b40693b2288426d363e1bdce97724857019582d3c

Observation be1ec968-d438-4627-bf85-25a463a68d6f · outbound

This paper cites Learning robust parameter inference and density reconstruction in flyer plate impact experiments.

Causal Multi-fidelity Surrogate Forward and Inverse Models for ICF Implosions Learning robust parameter inference and density reconstruction in flyer plate impact experiments

Reference 5

Resolution
verified exact
local_arxiv, observed 2026-08-05T05:32:21.921192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 18a3279f-3b3d-4c7f-8718-bea774af6922 · outbound

This paper cites an unresolved cited work.

Causal Multi-fidelity Surrogate Forward and Inverse Models for ICF Implosions Unresolved cited work

Reference 6

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raw_fallback, observed 2026-08-05T05:32:22.581744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation f3a8f43d-5f71-4ea6-a6e8-b4fd97a509e2 · outbound

This paper cites Book and Stephen E.

Causal Multi-fidelity Surrogate Forward and Inverse Models for ICF Implosions Book and Stephen E

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T05:32:22.567376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T05:32:21.633424Z digest=sha256:f9df62096a7456885aa822a8149c49b7a94ddb941465e7ba051899c9a6287b5e

Observation 0a328f97-5dc6-46c7-a3ad-1cc76a0d0117 · outbound

This paper cites Adjoint sensitivity analysis for differential- algebraic equations: The adjoint dae system and its numerical solution.J.

Causal Multi-fidelity Surrogate Forward and Inverse Models for ICF Implosions Adjoint sensitivity analysis for differential- algebraic equations: The adjoint dae system and its numerical solution.J

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T05:32:22.551353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T05:32:21.638713Z digest=sha256:a7f00de0a2bf7e55a66817a23bf4446704c18e96cac01a28931ee5d6ebb9f924

Observation f7e804cc-038d-4849-b970-d5ad0bc937a9 · outbound

This paper cites Recurrent neural networks for multivariate time series with missing values.Sci.

Causal Multi-fidelity Surrogate Forward and Inverse Models for ICF Implosions Recurrent neural networks for multivariate time series with missing values.Sci

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T05:32:22.535071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T05:32:21.643189Z digest=sha256:892668ccaf4c3b392aee1b99b6def45d0a29c7bf480e8ada187c52a684516e68

Observation 30796d77-0e16-47a9-9b07-fde475812b14 · outbound

This paper cites A new generation of los alamos opacity tables.The Astrophysical Journal, 817(2):116, 2016.

Causal Multi-fidelity Surrogate Forward and Inverse Models for ICF Implosions A new generation of los alamos opacity tables.The Astrophysical Journal, 817(2):116, 2016

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T05:32:22.520441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation dbce4102-a9a1-411e-ba01-2d8a49a52caa · outbound

This paper cites Multi-fidelity optimization via sur- rogate modelling.Proc.

Causal Multi-fidelity Surrogate Forward and Inverse Models for ICF Implosions Multi-fidelity optimization via sur- rogate modelling.Proc

Reference 11

Resolution
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raw_fallback, observed 2026-08-05T05:32:22.504463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation e94f9fbd-543f-4e89-81cb-0a271d4b577d · outbound

This paper cites Thermodynamic modeling of uncertainties in nif icf implosions due to underlying microphysics models.

Causal Multi-fidelity Surrogate Forward and Inverse Models for ICF Implosions Thermodynamic modeling of uncertainties in nif icf implosions due to underlying microphysics models

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T05:32:22.489850Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 5e85d433-72cb-49e5-9364-96fe1062e682 · outbound

This paper cites The rage radiation-hydrodynamic code.Computational Science & Discovery, 1(1):015005, nov 2008.

Causal Multi-fidelity Surrogate Forward and Inverse Models for ICF Implosions The rage radiation-hydrodynamic code.Computational Science & Discovery, 1(1):015005, nov 2008

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T05:32:22.475126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation cab842d6-0bc3-4a01-88f3-095a7143eb91 · outbound

This paper cites MIT Press, 2016.

Causal Multi-fidelity Surrogate Forward and Inverse Models for ICF Implosions MIT Press, 2016

Reference 14

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unresolved
no resolver link, observed 2026-08-05T05:32:21.667715Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T05:32:21.667715Z digest=sha256:5c827933d0e15c7dd26b621c5e0ede342d1dded97e7e066b394cc8983d765219

Observation d7b98735-3887-415b-859c-c9084f405314 · outbound

This paper cites Haines, C.

Causal Multi-fidelity Surrogate Forward and Inverse Models for ICF Implosions Haines, C

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T05:32:22.450242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T05:32:21.672078Z digest=sha256:65007f5a1a023a3a3f56bd704f651e51623c20a96bb2f19e245a4c207920f05a

Observation 272df3f3-2af4-45a3-9a03-f295be8d2b08 · outbound

This paper cites On upstream differencing and godunov-type schemes for hyperbolic conservation laws.SIAM review, 25(1):35–61, 1983.

Causal Multi-fidelity Surrogate Forward and Inverse Models for ICF Implosions On upstream differencing and godunov-type schemes for hyperbolic conservation laws.SIAM review, 25(1):35–61, 1983

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T05:32:22.436137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation b8766d4a-c7c0-4824-94b0-87d635c29111 · outbound

This paper cites The blind implosion-maker: Automated inertial confinement fusion experiment design.Physics of Plasmas, 26(6), 2019.

Causal Multi-fidelity Surrogate Forward and Inverse Models for ICF Implosions The blind implosion-maker: Automated inertial confinement fusion experiment design.Physics of Plasmas, 26(6), 2019

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T05:32:22.421309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T05:32:21.681225Z digest=sha256:3182066038162b233b62867af2df2606ea387ba25beefec4d02971991e80085f

Observation f117035f-ad0b-4f8c-a090-7ad653f02f2d · outbound

This paper cites Deep residual learning for image recog- nition.

Causal Multi-fidelity Surrogate Forward and Inverse Models for ICF Implosions Deep residual learning for image recog- nition

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T05:32:22.406463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T05:32:21.685704Z digest=sha256:bdaec7552c2b50e0706480115198121f0763fbe095e628d9808359359254c533

Observation 85fc9e0d-51e8-433d-b2de-f41f332f1f84 · outbound

This paper cites Deep neural network initialization with decision trees.IEEE transactions on neural networks and learning systems, 30(5):1286–1295, 2018.

Causal Multi-fidelity Surrogate Forward and Inverse Models for ICF Implosions Deep neural network initialization with decision trees.IEEE transactions on neural networks and learning systems, 30(5):1286–1295, 2018

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T05:32:22.391890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T05:32:21.690375Z digest=sha256:5626a80651e1792ce03f246ff71db0e52afa1cd2a3c98807035408e67fce0fe6

Observation 21f1dda2-a8c0-47b4-90f6-f78bd71eb6c1 · outbound

This paper cites Predicting the time-evolution of multi-physics systems with sequence-to-sequence models.

Causal Multi-fidelity Surrogate Forward and Inverse Models for ICF Implosions Predicting the time-evolution of multi-physics systems with sequence-to-sequence models

Reference 20

Resolution
verified exact
local_arxiv, observed 2026-08-05T05:32:21.898639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T05:32:21.695074Z digest=sha256:de20c506177f26b6e7c82289083a2b3c0f875ac8b1dba45e9d0e4f6f8d6067fa

Observation bb73faef-4067-4d3b-b12f-95aa95922b97 · outbound

This paper cites Transfer learning to model inertial confinement fusion experiments.IEEE Transactions on Plasma Science, 48(1):61–70, 2019.

Causal Multi-fidelity Surrogate Forward and Inverse Models for ICF Implosions Transfer learning to model inertial confinement fusion experiments.IEEE Transactions on Plasma Science, 48(1):61–70, 2019

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T05:32:22.376113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 590b6e90-c8ac-419e-a729-5fc806a32b24 · outbound

This paper cites A convolutional neural network for modelling sentences.

Causal Multi-fidelity Surrogate Forward and Inverse Models for ICF Implosions A convolutional neural network for modelling sentences

Reference 22

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raw_fallback, observed 2026-08-05T05:32:22.360040Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation f42eae60-af44-4d85-98e1-7ea264096300 · outbound

This paper cites an unresolved cited work.

Causal Multi-fidelity Surrogate Forward and Inverse Models for ICF Implosions Unresolved cited work

Reference 23

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unresolved
raw_fallback, observed 2026-08-05T05:32:22.344524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T05:32:21.709823Z digest=sha256:c476e8e150e0e918d2a00903a40ba7d167bfb8febb860580cbdc3d65cc562201

Observation 9012d188-594a-4bcc-9fda-fbb4e7f7382d · outbound

This paper cites LeCun, L´ eon Bottou, Genevieve B.

Causal Multi-fidelity Surrogate Forward and Inverse Models for ICF Implosions LeCun, L´ eon Bottou, Genevieve B

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T05:32:22.330326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T05:32:21.714126Z digest=sha256:787a0d18f2cb99afb7ac9fea9b0c60be67c095121e8e08c958b117200021e335

Observation 716c9f36-e233-4822-93c5-5abd74af9bb1 · outbound

This paper cites An electron conductivity model for dense plasmas.The Physics of fluids, 27(5):1273–1286, 1984.

Causal Multi-fidelity Surrogate Forward and Inverse Models for ICF Implosions An electron conductivity model for dense plasmas.The Physics of fluids, 27(5):1273–1286, 1984

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T05:32:22.316059Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 672daea0-b871-4fcb-99a5-8b03c0b0c5ed · outbound

This paper cites Neural Operator: Graph Kernel Network for Partial Differential Equations.

Causal Multi-fidelity Surrogate Forward and Inverse Models for ICF Implosions Neural Operator: Graph Kernel Network for Partial Differential Equations

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-05T05:32:21.724002Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T05:32:21.724002Z digest=sha256:751c44d68baf76eb338afb29ae36ca4551a8729a3f4fe2db8743768de0eae256

Observation 0d8518f0-8642-46fd-9fdb-7fcf52e9c2d6 · outbound

This paper cites Stuart, and Anima Anandkumar.

Causal Multi-fidelity Surrogate Forward and Inverse Models for ICF Implosions Stuart, and Anima Anandkumar

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T05:32:22.301897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T05:32:21.729413Z digest=sha256:3199fd7e707761d747651b5e3729991b6b3a907ed8595ac998b101f07adc55aa

Observation f5b4fc72-23c8-4e92-9a5a-59c65fd95077 · outbound

This paper cites The control parameterization method for nonlinear optimal control: A survey.J.

Causal Multi-fidelity Surrogate Forward and Inverse Models for ICF Implosions The control parameterization method for nonlinear optimal control: A survey.J

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T05:32:22.276627Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T05:32:21.738270Z digest=sha256:b2127e79d82e7ed2ed91710cd20a8791d97686e0889199058282076d1913de13

Observation f3f1b242-c614-417b-bdd2-603c4870c1bb · outbound

This paper cites A structured self-attentive sentence embedding.

Causal Multi-fidelity Surrogate Forward and Inverse Models for ICF Implosions A structured self-attentive sentence embedding

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T05:32:22.262448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T05:32:21.742642Z digest=sha256:7e36049d2253ed0e9e6c7205fff3de326d131884f53fd8f19f97a75c144506f3

Observation 2b62dfdb-870e-44f4-8078-acee4188c337 · outbound

This paper cites Learning nonlinear operators via deeponet based on the universal approximation theorem of operators.Nat.

Causal Multi-fidelity Surrogate Forward and Inverse Models for ICF Implosions Learning nonlinear operators via deeponet based on the universal approximation theorem of operators.Nat

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T05:32:22.248394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T05:32:21.746789Z digest=sha256:cabf52cfdeefd23e96c43387f22ba3dfbfd0c852769f08b90c6958b642305588

Observation 00c1a251-1db9-4b21-97bf-81d243eef340 · outbound

This paper cites Johnson, and Giuseppe Romano.

Causal Multi-fidelity Surrogate Forward and Inverse Models for ICF Implosions Johnson, and Giuseppe Romano

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T05:32:22.233678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T05:32:21.751076Z digest=sha256:6634e2d9a4436f28491cd38731b1ebf7b601469ea0a4213ebc7d5707a5b65995

Observation fedb5a8b-e700-4feb-862f-22ebe920609a · outbound

This paper cites Sesame: the los alamos national laboratory equation of state database.LANL report, 1978.

Causal Multi-fidelity Surrogate Forward and Inverse Models for ICF Implosions Sesame: the los alamos national laboratory equation of state database.LANL report, 1978

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T05:32:22.219115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T05:32:21.755254Z digest=sha256:f2041c5b51ad45b48b33d3ec70f6c5ed10f1b197b5acde2b2fabd6a23414f842

Observation 3461437b-ca3b-41a0-8cfe-a4c66cbfc3c9 · outbound

This paper cites Electron thermal conduction in lasnex.

Causal Multi-fidelity Surrogate Forward and Inverse Models for ICF Implosions Electron thermal conduction in lasnex

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T05:32:22.204139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T05:32:21.759680Z digest=sha256:12ff37228279ff7a5eae46a3fe57f6ef70c3ec8b83f43f681218b60dae3dcd0c

Observation e77e11f9-81ed-4aff-85b2-81ae0bcef16e · outbound

This paper cites En- semble simulations of inertial confinement fusion implosions.Statistical Analysis and Data Mining: The ASA Data Science Journal, 10(4):230–237, 2017.

Causal Multi-fidelity Surrogate Forward and Inverse Models for ICF Implosions En- semble simulations of inertial confinement fusion implosions.Statistical Analysis and Data Mining: The ASA Data Science Journal, 10(4):230–237, 2017

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T05:32:22.189888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T05:32:21.764058Z digest=sha256:7a0b4867496fcb6f1053b2e2419ccade61b90e1b9a6aee06d32784cc04f97046

Observation d3243608-75c1-47a5-8cbc-18c561f0c755 · outbound

This paper cites Pytorch: An imperative style, high- performance deep learning library.

Causal Multi-fidelity Surrogate Forward and Inverse Models for ICF Implosions Pytorch: An imperative style, high- performance deep learning library

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T05:32:22.175397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T05:32:21.768815Z digest=sha256:57781193410e2fa23655adb51bbdfd344edf4b4da344a13b36cc617b91a1295f

Observation 2639ecb0-6a54-4a3b-b65e-10bab86fcc6c · outbound

This paper cites Zonal flow generation in inertial confinement fusion implosions.

Causal Multi-fidelity Surrogate Forward and Inverse Models for ICF Implosions Zonal flow generation in inertial confinement fusion implosions

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T05:32:22.153508Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T05:32:21.773280Z digest=sha256:55032825ff9cc1c202f0b804fe4b76f29e774c7adfb9c0fbf335103efd1e1a2c

Observation 70989039-103a-4179-85c8-16fdf4c46e4a · outbound

This paper cites Physics consistent machine learning framework for inverse modeling with applications to icf capsule implosions.Scientific Reports, 15(1):25915, 2025.

Causal Multi-fidelity Surrogate Forward and Inverse Models for ICF Implosions Physics consistent machine learning framework for inverse modeling with applications to icf capsule implosions.Scientific Reports, 15(1):25915, 2025

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T05:32:22.137154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T05:32:21.777511Z digest=sha256:4eeaf7bdc51567242ce687006865f0b9648ea181d989b9d39cef86a7485ab579

Observation d2a3e9eb-bb36-4df9-8e80-e1e4f16a2a9c · outbound

This paper cites Implosion and burn of fast ignition capsules—calculations with hydra.Physics of Plasmas, 19(9), 2012.

Causal Multi-fidelity Surrogate Forward and Inverse Models for ICF Implosions Implosion and burn of fast ignition capsules—calculations with hydra.Physics of Plasmas, 19(9), 2012

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T05:32:22.121848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T05:32:21.781767Z digest=sha256:ab51291a90956f44e294707a11b5df2bc0bf5adbbef7f97159b3af1576334319

Observation c1d1586d-d449-4ded-aed8-8c438c6dd4d7 · outbound

This paper cites Dropout: A simple way to prevent neural networks from overfitting.J.

Causal Multi-fidelity Surrogate Forward and Inverse Models for ICF Implosions Dropout: A simple way to prevent neural networks from overfitting.J

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T05:32:22.106945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T05:32:21.785867Z digest=sha256:44bba2005c110b2493fc9487d588284d82105c992641867f606e5219e269fc27

Observation ba00e741-9485-41c0-9e69-c86511c6830c · outbound

This paper cites American Mathematical Society, 2012.

Causal Multi-fidelity Surrogate Forward and Inverse Models for ICF Implosions American Mathematical Society, 2012

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T05:32:22.092471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T05:32:21.789874Z digest=sha256:7cb650f4cf363b88e8c08bc5a8df408901431297624446ee47d2d680f70ad1ab

Observation d5f1afbc-e1c0-4fc7-bc64-f099020e2c3e · outbound

This paper cites Coupling 1d xrage sim- ulations with machine learning for graded inner shell design optimization in double shell capsules.

Causal Multi-fidelity Surrogate Forward and Inverse Models for ICF Implosions Coupling 1d xrage sim- ulations with machine learning for graded inner shell design optimization in double shell capsules

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T05:32:22.078265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T05:32:21.794010Z digest=sha256:cd1f9af1c8ddadea124ba2c464f9edce9689cbda355904b8eaf6fdf3520c860d

Observation 5a596fd6-9a10-4d98-9aaa-977aa456aa40 · outbound

This paper cites Virtanen, R.

Causal Multi-fidelity Surrogate Forward and Inverse Models for ICF Implosions Virtanen, R

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T05:32:22.062725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T05:32:21.798213Z digest=sha256:014e54f0e5e686a4d3b4c4b0a2838f6dfd727b3732235915ec584f06a7c8a76b

Observation 3e721ce9-b2eb-443a-b9cb-e8799af5c39e · outbound

This paper cites A multifidelity bayesian optimization method for inertial confinement fusion design.Physics of Plasmas, 31(3), 2024.

Causal Multi-fidelity Surrogate Forward and Inverse Models for ICF Implosions A multifidelity bayesian optimization method for inertial confinement fusion design.Physics of Plasmas, 31(3), 2024

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T05:32:22.047862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T05:32:21.802140Z digest=sha256:9a76fd342b1ada01991344c45ec64926b03b3c694f9c3c15fce2946056ebc27d

Observation e69c4a47-e022-4e1d-b69f-fd7847c3785d · outbound

This paper cites Improved architectures and training algorithms for deep operator networks.J.

Causal Multi-fidelity Surrogate Forward and Inverse Models for ICF Implosions Improved architectures and training algorithms for deep operator networks.J

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T05:32:22.032188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T05:32:21.806365Z digest=sha256:299e18744bef3387122e1f76a5045070bdecb9154cd135c13da69313e67c2721

Observation 60da8b52-b3f2-44f1-b078-965a0e6ab0b9 · outbound

This paper cites Multifrequency-gray method for radiation diffusion with compton scattering.

Causal Multi-fidelity Surrogate Forward and Inverse Models for ICF Implosions Multifrequency-gray method for radiation diffusion with compton scattering

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T05:32:22.015416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T05:32:21.811005Z digest=sha256:030d5c34bf1fbcec27d7b1aae856dc91b9300851f00fbe92f01d1f3322124a64

Observation f3858400-0de0-47d6-a356-d02bba9fc35f · outbound

This paper cites Hierarchical attention networks for document classification.

Causal Multi-fidelity Surrogate Forward and Inverse Models for ICF Implosions Hierarchical attention networks for document classification

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T05:32:21.998121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T05:32:21.815024Z digest=sha256:0c06f735b508c5e4aaddd742f027c20d8912e861bb19c1074b42935f31d5fa76

Observation 9e6dc941-07f8-4afb-943e-1740e795a8e6 · outbound

This paper cites Nonlocal kernel network (nkn): A stable and resolution-independent deep neural network.J.

Causal Multi-fidelity Surrogate Forward and Inverse Models for ICF Implosions Nonlocal kernel network (nkn): A stable and resolution-independent deep neural network.J

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T05:32:21.981743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T05:32:21.819164Z digest=sha256:2b4ff2dfb33a26012c467d018f6b544f54e1bc3a1550c67e88474663beac62be

Observation c44c95df-e062-4b42-88a0-bb62c9e9e80a · outbound

This paper cites an unresolved cited work.

Causal Multi-fidelity Surrogate Forward and Inverse Models for ICF Implosions Unresolved cited work

Reference 49

Resolution
unresolved
raw_fallback, observed 2026-08-05T05:32:21.966748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T05:32:21.823986Z digest=sha256:0995ad7bc63631c5c59a73fe57beebe8c41a5eaa20e3dc7104a927c182c72c2c

Observation ff7d2c40-efc6-44e3-bdea-0e07c26dfb49 · outbound

This paper cites an unresolved cited work.

Causal Multi-fidelity Surrogate Forward and Inverse Models for ICF Implosions Unresolved cited work

Reference 50

Resolution
unresolved
raw_fallback, observed 2026-08-05T05:32:21.951244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T05:32:21.828313Z digest=sha256:7ede108e80ea7f912ed38f6a763dd3f478f890185d3d78aa4b06f9090e9db582

Observation c0ef989b-70f1-43ad-a03a-fc984cd89fe4 · outbound

This paper cites an unresolved cited work.

Causal Multi-fidelity Surrogate Forward and Inverse Models for ICF Implosions Unresolved cited work

Reference 51

Resolution
unresolved
raw_fallback, observed 2026-08-05T05:32:21.936287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T05:32:21.832580Z digest=sha256:46ad94fc981f986ff121a31e4b05d472508c4fa0167095192abb3ec6d4e79352

Observation 176e6606-5f19-444c-a900-213e70098241 · outbound

This paper cites an unresolved cited work.

Causal Multi-fidelity Surrogate Forward and Inverse Models for ICF Implosions Unresolved cited work

Reference 2021

Resolution
parse uncertain
no resolver link, observed 2026-08-05T05:32:21.733818Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T05:32:21.733818Z digest=sha256:3a65f87c5a4b7506224b236ef2b392ae552324af9caca4d55fb7ef57236bac2c

Pith citing papers

No inbound Pith citation observations are available.