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Paper Citation Record · LEDGER

Automated simulation-based design via multi-fidelity active learning and optimisation for laser direct drive implosions

As of 19 August 2026, this Paper Citation Record lists 76 of 76 outbound references and 0 inbound Pith citation observations for arXiv:2508.20878.

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

pith.paper-citation-record.v1
2508.20878 v1

Coverage vector

measured 76 of 76 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T14:50:41.729133Z

measured 76 of 76 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

76 of 76 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5dae408e-aae2-49ba-a578-287dff715fc3 · outbound

This paper cites The Physics of Inertial Fusion: BeamPlasma Interaction, Hydrodynamics, Hot Dense Matter.

Automated simulation-based design via multi-fidelity active learning and optimisation for laser direct drive implosions The Physics of Inertial Fusion: BeamPlasma Interaction, Hydrodynamics, Hot Dense Matter

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-05T14:50:41.523577Z digest=sha256:4a465f9f82d9e01dbdbf0a473451fd69280dc641ce259435ce2840aa008f9096

Observation eeb1e80c-1ea3-45a5-ad71-422d1bed3eb0 · outbound

This paper cites Development of the indirect-drive approach to inertial confinement fusion and the target physics basis for ignition and gain.

Automated simulation-based design via multi-fidelity active learning and optimisation for laser direct drive implosions Development of the indirect-drive approach to inertial confinement fusion and the target physics basis for ignition and gain

Reference 2

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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 2026-08-19T06:32:44.657259+00:00.

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Observation 359b94bf-4456-4242-bc84-6b16e8546b63 · outbound

This paper cites Direct-drive inertial confinement fusion: A review.

Automated simulation-based design via multi-fidelity active learning and optimisation for laser direct drive implosions Direct-drive inertial confinement fusion: A review

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 125baf2f-c41e-478e-8db2-d08970f300d2 · outbound

This paper cites Lawson criterion for ignition exceeded in an inertial fusion experiment.

Automated simulation-based design via multi-fidelity active learning and optimisation for laser direct drive implosions Lawson criterion for ignition exceeded in an inertial fusion experiment

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-05T14:50:41.532912Z digest=sha256:4d8730fb7fe1a2adaa571179a5bd10cb2648de0aa9515ca51ecdda6aa9af3186

Observation 950ab332-0308-4f27-8054-028f7302c04f · outbound

This paper cites an unresolved cited work.

Automated simulation-based design via multi-fidelity active learning and optimisation for laser direct drive implosions Unresolved cited work

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation f33caa2e-30fd-4db7-b964-b88520036c30 · outbound

This paper cites an unresolved cited work.

Automated simulation-based design via multi-fidelity active learning and optimisation for laser direct drive implosions Unresolved cited work

Reference 6

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raw_fallback, observed 2026-08-05T14:50:42.333504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-05T14:50:41.538491Z digest=sha256:b0c2fc878614071b81695ae31f5b407a63d81a906fee0359f810498a423875f8

Observation 0c097e86-9c40-4796-a969-bb6c2ad9f028 · outbound

This paper cites Inertial-confinement fusion with lasers.

Automated simulation-based design via multi-fidelity active learning and optimisation for laser direct drive implosions Inertial-confinement fusion with lasers

Reference 7

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 2f25fc12-77b8-49be-8977-a01b3617f98c · outbound

This paper cites an unresolved cited work.

Automated simulation-based design via multi-fidelity active learning and optimisation for laser direct drive implosions Unresolved cited work

Reference 8

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 57c4efe9-eef8-4f59-9dfc-787eeb1805e8 · outbound

This paper cites Cross-code comparison of the impact of the fill tube on high yield implosions on the national ignition facility.

Automated simulation-based design via multi-fidelity active learning and optimisation for laser direct drive implosions Cross-code comparison of the impact of the fill tube on high yield implosions on the national ignition facility

Reference 9

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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 2026-08-19T06:32:44.657259+00:00.

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Observation 90431e2f-b1c0-45d6-9568-da42ffda09bc · outbound

This paper cites an unresolved cited work.

Automated simulation-based design via multi-fidelity active learning and optimisation for laser direct drive implosions Unresolved cited work

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 2c21c567-59bd-454d-857d-4c176f174da4 · outbound

This paper cites Diagnostic signatures of performance degrading perturbations in inertial confinement fusion implosions.

Automated simulation-based design via multi-fidelity active learning and optimisation for laser direct drive implosions Diagnostic signatures of performance degrading perturbations in inertial confinement fusion implosions

Reference 11

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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 2026-08-19T06:32:44.657259+00:00.

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Observation c1f3a5d7-e08a-44a9-98f2-2aca77e24df8 · outbound

This paper cites Practical bayesian optimization of machine learning algorithms.

Automated simulation-based design via multi-fidelity active learning and optimisation for laser direct drive implosions Practical bayesian optimization of machine learning algorithms

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-05T14:50:41.556043Z digest=sha256:cc0c2374be64b04314fd756bdd5ca5acf4bcc3f0c41c80cb03cd5864c9233c04

Observation bf3deada-c31e-4bbd-a840-dc7d1713865d · outbound

This paper cites Bayesian calibration of computer models.

Automated simulation-based design via multi-fidelity active learning and optimisation for laser direct drive implosions Bayesian calibration of computer models

Reference 13

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-05T14:50:41.558632Z digest=sha256:c4d9e511a508e5dc52926f9f007bba08cafc381f7e22868261a5af05ecaef556

Observation fc6af063-8ad4-4af9-90cf-e118a8caf499 · outbound

This paper cites Nonlinear information fusion algorithms for data-efficient multi-fidelity modelling.

Automated simulation-based design via multi-fidelity active learning and optimisation for laser direct drive implosions Nonlinear information fusion algorithms for data-efficient multi-fidelity modelling

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-05T14:50:41.561555Z digest=sha256:0c70019fd0aaa3977ef7598076ea5bc3dc609dc9ed13ea7445769bac81d08143

Observation ae738aaa-859d-41b4-9069-32d1a3fbd2b9 · outbound

This paper cites Alpha heating and burning plasmas in inertial confinement fusion.

Automated simulation-based design via multi-fidelity active learning and optimisation for laser direct drive implosions Alpha heating and burning plasmas in inertial confinement fusion

Reference 15

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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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-05T14:50:41.564534Z digest=sha256:82ae7093d290eeafe91ee5a130ed0e31375b07ea36be028f9cb8c7181c973a85

Observation 07fae732-f440-481a-a5f7-7343ea3e1d87 · outbound

This paper cites Theory of ignition and burn propagation in inertial fusion implosions.

Automated simulation-based design via multi-fidelity active learning and optimisation for laser direct drive implosions Theory of ignition and burn propagation in inertial fusion implosions

Reference 16

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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 2026-08-19T06:32:44.657259+00:00.

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Observation 333c6ea3-27b1-4e7f-820f-5e8cfe974494 · outbound

This paper cites an unresolved cited work.

Automated simulation-based design via multi-fidelity active learning and optimisation for laser direct drive implosions Unresolved cited work

Reference 17

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation bfbbaa48-eaf7-4c90-9dc4-86275b9396aa · outbound

This paper cites Initial performance results of the omega laser system.

Automated simulation-based design via multi-fidelity active learning and optimisation for laser direct drive implosions Initial performance results of the omega laser system

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 2ec55342-d535-41c5-921d-978383af413b · outbound

This paper cites an unresolved cited work.

Automated simulation-based design via multi-fidelity active learning and optimisation for laser direct drive implosions Unresolved cited work

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 12f3dc73-aa34-4af6-b80e-6580ba191100 · outbound

This paper cites The national ignition facility.

Automated simulation-based design via multi-fidelity active learning and optimisation for laser direct drive implosions The national ignition facility

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation f068c388-4108-4b75-b0e1-95dc14350972 · outbound

This paper cites Automated and highly parallelized bayesian optimization scheme for direct drive fusion experiments on omega.

Automated simulation-based design via multi-fidelity active learning and optimisation for laser direct drive implosions Automated and highly parallelized bayesian optimization scheme for direct drive fusion experiments on omega

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 508dcebe-052c-4032-8c82-87c505436e16 · outbound

This paper cites The blind implosion-maker: Automated inertial confinement fusion experiment design.

Automated simulation-based design via multi-fidelity active learning and optimisation for laser direct drive implosions The blind implosion-maker: Automated inertial confinement fusion experiment design

Reference 22

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation d8c2d1ad-bb0e-4746-8886-ae626222184b · outbound

This paper cites an unresolved cited work.

Automated simulation-based design via multi-fidelity active learning and optimisation for laser direct drive implosions Unresolved cited work

Reference 23

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 0bcc71ef-1904-4103-bd04-a705ea94203c · outbound

This paper cites an unresolved cited work.

Automated simulation-based design via multi-fidelity active learning and optimisation for laser direct drive implosions Unresolved cited work

Reference 24

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 4ef309bf-c6e2-43c0-aec4-f87401a82218 · outbound

This paper cites an unresolved cited work.

Automated simulation-based design via multi-fidelity active learning and optimisation for laser direct drive implosions Unresolved cited work

Reference 25

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation e8e07fac-6209-426b-bc99-e211016c07b1 · outbound

This paper cites Neutron backscatter edges as a diagnostic of burn propagation.

Automated simulation-based design via multi-fidelity active learning and optimisation for laser direct drive implosions Neutron backscatter edges as a diagnostic of burn propagation

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-05T14:50:41.594246Z digest=sha256:86b342a1f68d539f7fb81ec41d0295f201b30c5eaf0b5d2f1d6dbe234a04c784

Observation 8c54a8e7-5bb2-46e8-ba96-4400fb0ff656 · outbound

This paper cites SpK: A fast atomic and microphysics code for the high-energy-density regime.

Automated simulation-based design via multi-fidelity active learning and optimisation for laser direct drive implosions SpK: A fast atomic and microphysics code for the high-energy-density regime

Reference 27

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unresolved
no resolver link, observed 2026-08-05T14:50:41.596725Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T14:50:41.596725Z digest=sha256:fa489643afed98118bde60a48d44e413a939314e8b949374e5d0486683545230

Observation 379ddba7-1e98-4fb5-872c-8c2e6ae1dc89 · outbound

This paper cites Journal of Computational Physics , 257:594--626, 2014.

Automated simulation-based design via multi-fidelity active learning and optimisation for laser direct drive implosions Journal of Computational Physics , 257:594--626, 2014

Reference 28

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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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-05T14:50:41.599761Z digest=sha256:ae7da7322433b2c2356251892a9d0ea16d58fcd793ff083bdf8870043b01aff9

Observation 1ea62bea-009b-416b-b173-7f1ec67f8528 · outbound

This paper cites Uniformity of energy deposition for laser driven fusion.

Automated simulation-based design via multi-fidelity active learning and optimisation for laser direct drive implosions Uniformity of energy deposition for laser driven fusion

Reference 29

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-05T14:50:41.602224Z digest=sha256:59cb16a43f839a8ededf72f6457c26c9833937dda9d7be3b122d10472d36c961

Observation 035dc69e-05c7-4f22-94e3-6cc2dcc14329 · outbound

This paper cites Using statistical modeling to predict and understand fusion experiments.

Automated simulation-based design via multi-fidelity active learning and optimisation for laser direct drive implosions Using statistical modeling to predict and understand fusion experiments

Reference 30

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verified fuzzy
raw_fallback, observed 2026-08-05T14:50:42.149398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-05T14:50:41.604738Z digest=sha256:55cdfcdd189cc12d4e69c29141f4ad123660e01b207e2c3667375153c4043dee

Observation fc2b9dd0-8841-4c22-b9cb-9d6b60a4dc90 · outbound

This paper cites Irradiation uniformity for high-compression laser-fusion experiments.

Automated simulation-based design via multi-fidelity active learning and optimisation for laser direct drive implosions Irradiation uniformity for high-compression laser-fusion experiments

Reference 31

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-05T14:50:41.607252Z digest=sha256:1a6180272d485ea4d1f743be3da7341d0b0838b8f69113c0ba51736adb9657f2

Observation 443539b0-b577-46fa-8946-e5e5fa007ad7 · outbound

This paper cites A model of laser imprinting.

Automated simulation-based design via multi-fidelity active learning and optimisation for laser direct drive implosions A model of laser imprinting

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:50:42.133473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-05T14:50:41.609566Z digest=sha256:8fc5f9103760e98b96392ce72d3de2413be08f3407141e5b986fd0f87c3f40ba

Observation 5be97ed4-c8f0-4ae2-9fbe-78d7b3b500aa · outbound

This paper cites Effects of laser bandwidth in direct-drive high-performance dt-layered implosions on the omega laser.

Automated simulation-based design via multi-fidelity active learning and optimisation for laser direct drive implosions Effects of laser bandwidth in direct-drive high-performance dt-layered implosions on the omega laser

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:50:42.125419Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-05T14:50:41.612131Z digest=sha256:33bbc55ee39a187cb87d33ad7b18957272064aa21fe4be58c9f57244572682ec

Observation 9efeeb39-dbde-4c79-ba7b-82fce4cda3a1 · outbound

This paper cites Linear stability analysis of laser-driven spherical implosions.

Automated simulation-based design via multi-fidelity active learning and optimisation for laser direct drive implosions Linear stability analysis of laser-driven spherical implosions

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:50:42.117096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-05T14:50:41.614736Z digest=sha256:3c280a2487bf04b601c8504486606937e6aba12b1e3124893d9df68ef712ada2

Observation 7721a716-e6a0-4de3-b3a3-06a035b76433 · outbound

This paper cites A multifidelity bayesian optimization method for inertial confinement fusion design.

Automated simulation-based design via multi-fidelity active learning and optimisation for laser direct drive implosions A multifidelity bayesian optimization method for inertial confinement fusion design

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:50:42.108565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-05T14:50:41.617494Z digest=sha256:6459d11b65c8cf811d5ad95b32b12637c7d651b134a32eebf9750aa140e2a77d

Observation 0d85e3b1-b5f5-4474-a3b4-5b370c98f63e · outbound

This paper cites The design and analysis of computer experiments , volume 1.

Automated simulation-based design via multi-fidelity active learning and optimisation for laser direct drive implosions The design and analysis of computer experiments , volume 1

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:50:42.099187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-05T14:50:41.620193Z digest=sha256:1758c0e6b258abd5a86989d1eecb320f0ccadd9d0dd02d197ab8779084850a99

Observation e97aa4f1-e612-4a7a-bb92-dbb7e82a530c · outbound

This paper cites Gaussian processes for machine learning , volume 2.

Automated simulation-based design via multi-fidelity active learning and optimisation for laser direct drive implosions Gaussian processes for machine learning , volume 2

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:50:42.090302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-05T14:50:41.622666Z digest=sha256:b44dc427c2bfcf86f98e66490aab5823b90bf009d484fc3a44493a170a96e7ac

Observation a952ecc2-f840-4f1d-b81e-057834e14f23 · outbound

This paper cites The kernel cookbook: Advice on covariance functions.

Automated simulation-based design via multi-fidelity active learning and optimisation for laser direct drive implosions The kernel cookbook: Advice on covariance functions

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:50:42.082292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-05T14:50:41.625242Z digest=sha256:003ad4d401dece8cafdc99ac6caa7cf89ab4dddce18000bf28f1216c56eb479e

Observation 480e79c1-bf3b-4eed-8500-2148b50639bb · outbound

This paper cites Predicting fusion ignition at the national ignition facility with physics-informed deep learning.

Automated simulation-based design via multi-fidelity active learning and optimisation for laser direct drive implosions Predicting fusion ignition at the national ignition facility with physics-informed deep learning

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:50:42.073771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-05T14:50:41.627568Z digest=sha256:97dd5a6c427d2cc308d23e0bf051c290d81365b69af07f0a556cbdd589e8f45c

Observation 7170b8d6-64fa-4f51-8adc-eb62ff2c77f7 · outbound

This paper cites Deep learning-based predictive models for laser direct drive at the omega laser facility.

Automated simulation-based design via multi-fidelity active learning and optimisation for laser direct drive implosions Deep learning-based predictive models for laser direct drive at the omega laser facility

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:50:42.064622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-05T14:50:41.629962Z digest=sha256:8748a5f73bcc6cfe6f7d91d4652b56240594e43e2198ff57ab10ee4185f92a2e

Observation 30d8ed43-440f-4056-a429-601c0eef531a · outbound

This paper cites Data-driven prediction of scaling and ignition of inertial confinement fusion experiments.

Automated simulation-based design via multi-fidelity active learning and optimisation for laser direct drive implosions Data-driven prediction of scaling and ignition of inertial confinement fusion experiments

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:50:42.055410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-05T14:50:41.632710Z digest=sha256:cc0cf3ba840e56f766d1ecd04dcb232223a10c4adaa4b195978c97d58cabc893

Observation 0e97b807-07a3-4e85-8097-061bc30ba911 · outbound

This paper cites Simple and scalable predictive uncertainty estimation using deep ensembles.

Automated simulation-based design via multi-fidelity active learning and optimisation for laser direct drive implosions Simple and scalable predictive uncertainty estimation using deep ensembles

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-05T14:50:41.635516Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T14:50:41.635516Z digest=sha256:d231fd79f91db4a761bda5c1271f18e32f702e3027685a46b6abb842f9dfa4b6

Observation 79be0aca-28f6-472a-a085-654758545408 · outbound

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

Automated simulation-based design via multi-fidelity active learning and optimisation for laser direct drive implosions Pytorch: An imperative style, high-performance deep learning library

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-05T14:50:41.638164Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T14:50:41.638164Z digest=sha256:a6eb573c9083a13ed500e95060dfab64cdd303d97e16f4b31b68b4b8659895be

Observation 34d7f777-832e-4075-a0ff-0242353bfd6a · outbound

This paper cites Botorch: A framework for efficient monte-carlo bayesian optimization.

Automated simulation-based design via multi-fidelity active learning and optimisation for laser direct drive implosions Botorch: A framework for efficient monte-carlo bayesian optimization

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:50:42.034819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-05T14:50:41.641032Z digest=sha256:22ce5c76f443a7b17feafb4c7a50db7889e61c647f6f833499606e96837c228b

Observation b1fc1063-b232-4550-96d1-83ddf6f6c6f5 · outbound

This paper cites Decoupled Weight Decay Regularization.

Automated simulation-based design via multi-fidelity active learning and optimisation for laser direct drive implosions Decoupled Weight Decay Regularization

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-05T14:50:41.643480Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T14:50:41.643480Z digest=sha256:f2c6f965be0c89e2f44c1791334ab1f7addb529b52ca89777d3d8b586705e366

Observation 77bcb95c-63a2-4cd7-85d7-126fa5fd9ea6 · outbound

This paper cites Random forests.

Automated simulation-based design via multi-fidelity active learning and optimisation for laser direct drive implosions Random forests

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:50:42.026484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-05T14:50:41.646655Z digest=sha256:bac63ce66d84dff2fc3accff3a19580d0579284d22d943262bb56a4d4da1dedc

Observation 89b834b0-b76e-4725-a47b-f58d02c87815 · outbound

This paper cites Transfer learning to model inertial confinement fusion experiments.

Automated simulation-based design via multi-fidelity active learning and optimisation for laser direct drive implosions Transfer learning to model inertial confinement fusion experiments

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:50:42.018882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-05T14:50:41.649375Z digest=sha256:86e413ab0059754a92b270234349a4b27d52fca78da7027bc7cee57ae3ed859a

Observation ee455388-269e-4758-9460-950f1dd60e14 · outbound

This paper cites Shock timing technique for the national ignition facility.

Automated simulation-based design via multi-fidelity active learning and optimisation for laser direct drive implosions Shock timing technique for the national ignition facility

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:50:42.009847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-05T14:50:41.652081Z digest=sha256:ccd25aa57fc1a39352b745a0da8e4dc15dad4eb41fd31b6d4aaa5aec637be9e8

Observation f02fd203-a521-424b-824f-45434827864b · outbound

This paper cites Machine learning for biological design.

Automated simulation-based design via multi-fidelity active learning and optimisation for laser direct drive implosions Machine learning for biological design

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:50:42.000470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-05T14:50:41.655435Z digest=sha256:0f5116288d5ebb848785314ee99e249e554d0925f75af662714f46c346bfd443

Observation 3437dddc-b55e-44a1-8e5d-af49ef9d35d8 · outbound

This paper cites o ssische Technische Hochschule Z \.

Automated simulation-based design via multi-fidelity active learning and optimisation for laser direct drive implosions o ssische Technische Hochschule Z \

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:50:41.992663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-05T14:50:41.658126Z digest=sha256:5915d1ff1e52fabafdd931f8f39bc25ef7c47da4f204e71dcc0ad234a1c22fc0

Observation 4391c27c-8b0a-4d60-a205-d93abff4d0f3 · outbound

This paper cites Unexpected improvements to expected improvement for bayesian optimization.

Automated simulation-based design via multi-fidelity active learning and optimisation for laser direct drive implosions Unexpected improvements to expected improvement for bayesian optimization

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:50:41.984911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-05T14:50:41.661112Z digest=sha256:857f934a0f155a47ac8667bf7a61c3af146c0c3482450c1668e651fec8337b7f

Observation 15c1f594-25b0-464d-ae08-39972fc75eae · outbound

This paper cites Combining multi-fidelity modelling and asynchronous batch bayesian optimization.

Automated simulation-based design via multi-fidelity active learning and optimisation for laser direct drive implosions Combining multi-fidelity modelling and asynchronous batch bayesian optimization

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:50:41.976985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-05T14:50:41.663799Z digest=sha256:7fbb5970be64742b9e51382c5a318d6f1c7479b73b9b1c8c4c80824d64c4d187

Observation 4eb6c4a0-49fa-4565-9ef6-2b7e51e42ff1 · outbound

This paper cites mille-feuille: A Bayesian Optimisation wrapper for HPC scale simulations: https://github.com/aidancrilly/mille-feuille , 2025.

Automated simulation-based design via multi-fidelity active learning and optimisation for laser direct drive implosions mille-feuille: A Bayesian Optimisation wrapper for HPC scale simulations: https://github.com/aidancrilly/mille-feuille , 2025

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:50:41.968960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-05T14:50:41.667139Z digest=sha256:89ed03c54e009f5dac4769e6135c43d8e5f845cc6fbd4209f1b8cb4cbb3d79e3

Observation 5d9acc23-c0c3-4a7c-aa37-a1e542baac88 · outbound

This paper cites The distribution of points in a cube and the accurate evaluation of integrals (in russian) zh.

Automated simulation-based design via multi-fidelity active learning and optimisation for laser direct drive implosions The distribution of points in a cube and the accurate evaluation of integrals (in russian) zh

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:50:41.960777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-05T14:50:41.670591Z digest=sha256:3602159c496888be05fa7e6c2e2d1a8fefd8dbe5aedad4c59f24c2a2c5d8eafc

Observation 074a8e7a-6e41-44dc-95e4-9825bdba7fe6 · outbound

This paper cites Progress toward a self-consistent set of 1d ignition capsule metrics in icf.

Automated simulation-based design via multi-fidelity active learning and optimisation for laser direct drive implosions Progress toward a self-consistent set of 1d ignition capsule metrics in icf

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:50:41.952743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-05T14:50:41.673414Z digest=sha256:7dd9e52fbcce2b39d36a88bf241388228178d2222d3ed86d963970934e5aaffa

Observation 1fffe6a8-4b3f-4b10-8baf-7af0d3428500 · outbound

This paper cites an unresolved cited work.

Automated simulation-based design via multi-fidelity active learning and optimisation for laser direct drive implosions Unresolved cited work

Reference 56

Resolution
unresolved
raw_fallback, observed 2026-08-05T14:50:41.944611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-05T14:50:41.676191Z digest=sha256:e03b609b6fc4aaa8e6836ffa699803583ce897d840d60baab83954e316eb61b3

Observation e4bcdb1b-45db-4e08-953b-13718a7225b6 · outbound

This paper cites Laser-plasma interactions and applications.

Automated simulation-based design via multi-fidelity active learning and optimisation for laser direct drive implosions Laser-plasma interactions and applications

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:50:41.936682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-05T14:50:41.678856Z digest=sha256:8a41c2c2dfe5aa1d3ee21c426f38d283709f1a2398b2a9f4d0ed120981550a69

Observation 1f6e23a2-fef9-4e60-b2a5-666007a9b8f1 · outbound

This paper cites Self-consistent growth rate of the rayleigh--taylor instability in an ablatively accelerating plasma.

Automated simulation-based design via multi-fidelity active learning and optimisation for laser direct drive implosions Self-consistent growth rate of the rayleigh--taylor instability in an ablatively accelerating plasma

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:50:41.928517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-05T14:50:41.681614Z digest=sha256:400bcf0a613c507a9cac95bb1cc885a2034cd021402d9aeef023e142ebac6bee

Observation 2b978bb8-e4e1-491a-9d0e-fdc9029904a0 · outbound

This paper cites Growth rates of the ablative rayleigh--taylor instability in inertial confinement fusion.

Automated simulation-based design via multi-fidelity active learning and optimisation for laser direct drive implosions Growth rates of the ablative rayleigh--taylor instability in inertial confinement fusion

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:50:41.920064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-05T14:50:41.684241Z digest=sha256:7c1e616108a3cdde44313a956f2d532cbbf707bbf10f28300ba1937828b6ad07

Observation 2ef17812-7de4-4ab8-9d7c-1fa7510b3fc5 · outbound

This paper cites Betti, K.

Automated simulation-based design via multi-fidelity active learning and optimisation for laser direct drive implosions Betti, K

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:50:41.912061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-05T14:50:41.687095Z digest=sha256:40cec2f98751243ef73519f6f8dd20784cf4c54ca4955fd95e2001a3fe4401a5

Observation e14d9748-a2a9-4009-a272-8c05ff4e44a8 · outbound

This paper cites Hohlraum reheating from burning nif implosions.

Automated simulation-based design via multi-fidelity active learning and optimisation for laser direct drive implosions Hohlraum reheating from burning nif implosions

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:50:41.904263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-05T14:50:41.689563Z digest=sha256:ea9921d0606b75b43e0ab3380ac80f1fbbd87558c2fd44c385db4fe6c5ad1e1f

Observation 39202012-f4a3-4464-b67b-33ec3b4fdc62 · outbound

This paper cites Inertially confined fusion plasmas dominated by alpha-particle self-heating.

Automated simulation-based design via multi-fidelity active learning and optimisation for laser direct drive implosions Inertially confined fusion plasmas dominated by alpha-particle self-heating

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:50:41.896164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-05T14:50:41.692144Z digest=sha256:e7a2a09f62613b997052a2f3838030bfe63cf2864f3cc8dedf12a0b8488e94e0

Observation 6bac5f4d-e447-40ff-99c2-6833f8eb15bd · outbound

This paper cites A 3d dynamic model to assess the impacts of low-mode asymmetry, aneurysms and mix-induced radiative loss on capsule performance across inertial confinement fusion platforms.

Automated simulation-based design via multi-fidelity active learning and optimisation for laser direct drive implosions A 3d dynamic model to assess the impacts of low-mode asymmetry, aneurysms and mix-induced radiative loss on capsule performance across inertial confinement fusion platforms

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:50:41.888299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-05T14:50:41.694744Z digest=sha256:0185fcf08511a66445776b082d64ee8d430adea5a8afbc9dd242d3c124388c0b

Observation 98dd5ba9-5c82-4c24-a22e-5b30158c9170 · outbound

This paper cites Multidimensional modelling of Cross-Beam Energy Transfer for direct-drive Inertial Confinement Fusion.

Automated simulation-based design via multi-fidelity active learning and optimisation for laser direct drive implosions Multidimensional modelling of Cross-Beam Energy Transfer for direct-drive Inertial Confinement Fusion

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:50:41.879801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-05T14:50:41.697268Z digest=sha256:19a2219ba34749baf4e784c161e04cf03dc2916f26cf533d7493d5295500c880

Observation 7c88562b-b61f-4f2d-ba88-c79ca08c64cd · outbound

This paper cites Progress in 2 mm glow discharge polymer mandrel development for nif.

Automated simulation-based design via multi-fidelity active learning and optimisation for laser direct drive implosions Progress in 2 mm glow discharge polymer mandrel development for nif

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:50:41.871424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-05T14:50:41.700136Z digest=sha256:16cb151f623d9f04df145fab7e8f2d3cffbebf045223c0c21b01fb65af20e4d5

Observation b34786b5-5313-4a6e-95b9-72f2920ea05a · outbound

This paper cites Metrology feasibility study in support of the national direct-drive program.

Automated simulation-based design via multi-fidelity active learning and optimisation for laser direct drive implosions Metrology feasibility study in support of the national direct-drive program

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:50:41.863153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-05T14:50:41.702710Z digest=sha256:e43f9c87925393ca92f20d5e7e5ef13c46a886e4d1590d3c68178d9fefa9b077

Observation d29f9328-eb51-4a6d-9f35-8dd0204841f9 · outbound

This paper cites Impact of stalk on directly driven inertial confinement fusion implosions.

Automated simulation-based design via multi-fidelity active learning and optimisation for laser direct drive implosions Impact of stalk on directly driven inertial confinement fusion implosions

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:50:41.854952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-05T14:50:41.705193Z digest=sha256:f533c99ac951d807eaf046fa47b9d61769a26e87b7c3023e3435446284ff9b63

Observation db5c822a-b5ad-47ff-ab21-b0fc00116a9f · outbound

This paper cites Exploring the parameter space of maglif implosions using similarity scaling.

Automated simulation-based design via multi-fidelity active learning and optimisation for laser direct drive implosions Exploring the parameter space of maglif implosions using similarity scaling

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:50:41.846797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-05T14:50:41.707812Z digest=sha256:0783881343a8acc83f34cb9ca2abebf39aea071a07458e55038a3aa57e64168d

Observation acd750fb-9370-4ef0-ae5e-6aae3a41391b · outbound

This paper cites Affordable, manageable, practical, and scalable (AMPS) high-yield and high-gain inertial fusion.

Automated simulation-based design via multi-fidelity active learning and optimisation for laser direct drive implosions Affordable, manageable, practical, and scalable (AMPS) high-yield and high-gain inertial fusion

Reference 69

Resolution
unresolved
no resolver link, observed 2026-08-05T14:50:41.710535Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T14:50:41.710535Z digest=sha256:f650c16daa64fd6593cf497fe4504ad9f728f4c5ffcc340a86f9e2ab524c4666

Observation c3bb7742-715e-477f-94b1-4000dd381287 · outbound

This paper cites A pushered capsule implosion as an alternate approach to the ignition regime for inertial confinement fusion.

Automated simulation-based design via multi-fidelity active learning and optimisation for laser direct drive implosions A pushered capsule implosion as an alternate approach to the ignition regime for inertial confinement fusion

Reference 70

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-05T14:50:41.713390Z digest=sha256:ceae648aab8b7df80ec1ca33abcf553c6ec8e46f7295178c6efdac7d4588b381

Observation e64b9e59-f21e-44a1-9fe8-44c315e6cd2c · outbound

This paper cites Energy gain of wetted-foam implosions with auxiliary heating for inertial fusion studies.

Automated simulation-based design via multi-fidelity active learning and optimisation for laser direct drive implosions Energy gain of wetted-foam implosions with auxiliary heating for inertial fusion studies

Reference 71

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-05T14:50:41.715916Z digest=sha256:bdfb535b908c4b1e49fa7284ef6973d56e58aa3c4ece00d07afa7c39ce3814a7

Observation 43ee6d32-686c-4573-89d6-46981d60cad1 · outbound

This paper cites A future of inertial confinement fusion without laser-plasma instabilities.

Automated simulation-based design via multi-fidelity active learning and optimisation for laser direct drive implosions A future of inertial confinement fusion without laser-plasma instabilities

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:50:41.820063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-05T14:50:41.718632Z digest=sha256:61dac02d57f515839fbdaf1751e12df8c1a340fa2d9ecff476beda66d8945296

Observation 3d17614d-f57a-472f-8eaa-4a3690a9992c · outbound

This paper cites Rethinking optimization with differentiable simulation from a global perspective.

Automated simulation-based design via multi-fidelity active learning and optimisation for laser direct drive implosions Rethinking optimization with differentiable simulation from a global perspective

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:50:41.811519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-05T14:50:41.721158Z digest=sha256:590d402673c37894d11da34931158d24e5a839a49c788f5edfd95fdb9331032b

Observation 4322be6b-97a5-4f1e-bb30-d1939869e101 · outbound

This paper cites Generative Neural Reparameterization for Differentiable PDE-constrained Optimization.

Automated simulation-based design via multi-fidelity active learning and optimisation for laser direct drive implosions Generative Neural Reparameterization for Differentiable PDE-constrained Optimization

Reference 74

Resolution
unresolved
no resolver link, observed 2026-08-05T14:50:41.723496Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T14:50:41.723496Z digest=sha256:260a9315573611657cc0b8417527cd0a93d74790627ceaece2beba0c004e14d5

Observation 6ce34e3b-bf61-47b1-a589-b2d54c7f8336 · outbound

This paper cites Archer2 service description, December 2024.

Automated simulation-based design via multi-fidelity active learning and optimisation for laser direct drive implosions Archer2 service description, December 2024

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:50:41.802580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-05T14:50:41.726347Z digest=sha256:bd0e187e1e3a7782006dd0c353c6dff909948d55ca91acfacb8a0c024334931e

Observation 609a6a8a-6686-4e5f-8451-02e48a30b08d · outbound

This paper cites Dropout injection at test time for post hoc uncertainty quantification in neural networks.

Automated simulation-based design via multi-fidelity active learning and optimisation for laser direct drive implosions Dropout injection at test time for post hoc uncertainty quantification in neural networks

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:50:41.793372Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-05T14:50:41.729133Z digest=sha256:fdb549ad6374b943ce0b7ac01949237b8dd5ee21a0f6ef0bd8ce86cc39daaeea

Pith citing papers

No inbound Pith citation observations are available.