Pith. sign in

Paper Citation Record · LEDGER

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

As of 21 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 2026-08-20T06:33:59.587034+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

  • verified exact0
  • verified fuzzy60
  • unresolved16
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:50:42.372532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-05T14:50:41.523577Z digest=sha256:bdcf4a9011842041ba7474d1893e074282beb52ddd9f81eb047f92318e334684

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:50:42.364477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-05T14:50:41.526832Z digest=sha256:8ee60f6ff85a72f9a6eecf900cae4c78a6c851920bf9f625f77dab63ac90fe42

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:50:42.356926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-05T14:50:41.529865Z digest=sha256:a8f423efb0fbacc4b786131f13dccd75266ce82dc8207173d940af454592f08c

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:50:42.349287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-05T14:50:41.532912Z digest=sha256:2187cea0ef72eb40bedc523df9b0148fd58bb1df9d2dcc0602b890142d21ee28

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

Resolution
unresolved
raw_fallback, observed 2026-08-05T14:50:42.341365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-05T14:50:41.535724Z digest=sha256:6f2ee9aba2ff835736f4387f8deff34db7823f65fa9758d8cf5a26a7568ccadf

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

Resolution
unresolved
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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-05T14:50:41.538491Z digest=sha256:2b6f1611615690ff0d9b88781dd3cb13b7059678f83ec59f3c65d145d1afbaa0

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
raw_fallback, observed 2026-08-05T14:50:42.325363Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-05T14:50:41.541591Z digest=sha256:c07662ebd52c054d9358e4fa114c1ecc7a47848e55361c5b29bd5fcdd41a8f2b

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
unresolved
raw_fallback, observed 2026-08-05T14:50:42.317620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-05T14:50:41.544123Z digest=sha256:fc5525767f6ecd1c060d59959bb193366eff4e7ff2f3a1994f80e2748d8d81c9

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:50:42.310071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-05T14:50:41.546785Z digest=sha256:5ba0f0da16884c000d267818908742c7e8ef603fed6d0de73bec37e565d8afa9

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

Resolution
unresolved
raw_fallback, observed 2026-08-05T14:50:42.302081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-05T14:50:41.549413Z digest=sha256:38986881b194dc3a8f1012111841bf8eec829ee7511efb87b60b42a54591d49e

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:50:42.294365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-05T14:50:41.551937Z digest=sha256:d200c848c3f1c594fc9037f9aa22f3fdf57eba18d183329007b4a90be959ce65

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:50:42.286194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-05T14:50:41.556043Z digest=sha256:67b8041584d4d42335a4c3cdcba988f5e09b18a21221f32675f48dabc41cacf5

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
verified fuzzy
raw_fallback, observed 2026-08-05T14:50:42.278520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-05T14:50:41.558632Z digest=sha256:664d567b45568a5730d6b4e3ded1c9e2246f905bf02ecff645c328d4f26d1261

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:50:42.270255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-05T14:50:41.561555Z digest=sha256:5be93eb49cf42065f05b1f36225dc9151fa165e7a23be83d922ae4de1229239e

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:50:42.261612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-05T14:50:41.564534Z digest=sha256:464bb05222c1a41a8e527a7df8cf53fdc97fd56d8f06f1919578ce9001bf2029

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:50:42.253289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-05T14:50:41.567012Z digest=sha256:1ce0c4b12419117efa1daae9cc9f36378618b40ce91044da50bd446d8fcf1cfd

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

Resolution
unresolved
raw_fallback, observed 2026-08-05T14:50:42.244925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-05T14:50:41.569666Z digest=sha256:2272a044b2e808b7d845674b08aa2420dea5566cc5a56a4d7917e40be8c713e8

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:50:42.236814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-05T14:50:41.572381Z digest=sha256:f10c7ec8ee451a066594e03fe2080b8b3f3368aa06776cb70b629e65de531a95

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

Resolution
unresolved
raw_fallback, observed 2026-08-05T14:50:42.228754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-05T14:50:41.574955Z digest=sha256:c7b7cb8d0bb67e8a39505e486d46e708d4a150fa3a7a3aff69102931be8f7130

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:50:42.220566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-05T14:50:41.578160Z digest=sha256:7d03c828d93ab25c5a161c5b871c12bd81acc620776886364cc728e256020e1f

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:50:42.212937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-05T14:50:41.580684Z digest=sha256:d8cc3c686268f67a34b9ac80d8ebf285ee32a67a637e660706c47c84d000a902

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:50:42.205003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-05T14:50:41.583307Z digest=sha256:32429b58765bffe5902e3f05cde787cb3377e95507b166afab11338ce3218441

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

Resolution
unresolved
raw_fallback, observed 2026-08-05T14:50:42.196835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-05T14:50:41.585921Z digest=sha256:cd9a9fa5fdaa39201e8058df9a40722d8fa31c4b58da4734ea1083bb33732d37

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

Resolution
unresolved
raw_fallback, observed 2026-08-05T14:50:42.189025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-05T14:50:41.588560Z digest=sha256:61994a56c819e9ae9a11d76c73f86db56bae069c10caa3ccfa8689c2440f4e48

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

Resolution
unresolved
raw_fallback, observed 2026-08-05T14:50:42.181191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-05T14:50:41.591684Z digest=sha256:684fc7bc23d73eebc0b7771a3c148bb1a253a7346b9fd8c6ca0ba2061cc43ad1

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:50:42.173250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-05T14:50:41.594246Z digest=sha256:d75306958eaff7b9d69f6f00b149847437ffa1aed327aaa54a12dc4812d62907

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

Resolution
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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:50:42.165507Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-05T14:50:41.599761Z digest=sha256:24fab6c28db723588adb94912a4791a5e66c1a386540332cb41b356ae7acea1c

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:50:42.157234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-05T14:50:41.602224Z digest=sha256:b44e5945c7dd384e0ebc2f658e4e94b8c66b3279a75da5de495d691ad1e6713f

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

Resolution
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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-05T14:50:41.604738Z digest=sha256:476ff8bc967fede09379facd57e3250df59eaaa052a0f44d5b3e149a2b453eb2

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
raw_fallback, observed 2026-08-05T14:50:42.141661Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-05T14:50:41.607252Z digest=sha256:176d1754b77a1f315de42dda02d7edc66e4bb66f5250f213d7d8d434a4c21170

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-05T14:50:41.609566Z digest=sha256:c3936e480aca0a3d17ceaedf6ba0ef49b500595291a2bb60b838b67aa4764bcc

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-05T14:50:41.612131Z digest=sha256:e1e419add0288d5b3468b4e4940326cc5955f1e847fd7f179e10fa16eaa04670

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-05T14:50:41.614736Z digest=sha256:e7504c3508992b6b29cc40b561d444ca2e1a2c630ae1b0c4219e14a3daeebeed

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-05T14:50:41.617494Z digest=sha256:10502d1f6478b1c5e60afc5a9d2fddbeb05d17520995460ec99151e083364677

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-05T14:50:41.620193Z digest=sha256:47e33ffdba9f5c71213ba606b72cb30e30d4351487a85e3a32c40e34a0abfe33

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-05T14:50:41.622666Z digest=sha256:4aea6fabde74041fd38bc4660f51d6846d1846a56842699cd565c0d6b1a9afcc

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-05T14:50:41.625242Z digest=sha256:172e9cd02804b5a44d643600e678568a91074d89e4cdc87bc644bbb1a9cc68fb

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-05T14:50:41.627568Z digest=sha256:57b2ce55a6c4cb73f57718d830350813a2e6d56065850a0f7c88d7c5c44dd1cf

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-05T14:50:41.629962Z digest=sha256:66fb76b43783831feeb8ae3fb41481bdc3f5cfe04d4d2ac1cf3475055bd3c8b6

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-05T14:50:41.632710Z digest=sha256:48a28366a3a95f93f435ff49f772650e9cbb3736bf2041f9444948e14ddafc6b

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-05T14:50:41.641032Z digest=sha256:b2fe45eb7afee77c645a7c6e90541fb3dc13c7fc061e3546403149df30fa2cb0

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-05T14:50:41.646655Z digest=sha256:9d658c37021702a55ca7dc25a6c7ff3ac37ee214649919e329e89e20066b8c12

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-05T14:50:41.649375Z digest=sha256:943acddf40b14571ad770e0d9fded71fb02153c9bd00d1c9720962580f27c055

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-05T14:50:41.652081Z digest=sha256:747b7ebdf467b545f4639951682e81e539562c0f4efa9f1e4be29dc36e3499f5

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-05T14:50:41.655435Z digest=sha256:87d011a027dada49a9de9292784a5ce0772b9a09f869c50c4bb01fdea3161081

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-05T14:50:41.658126Z digest=sha256:8e24327c7a45d426438a9a068e964a763ff466988c8343c6689b36784fed1416

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-05T14:50:41.661112Z digest=sha256:610a0be0eaa302eb64ef056df664d43ea8935116159c3fb2a9430aad37b5ec8a

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-05T14:50:41.663799Z digest=sha256:83f305df3b64f881af03481b6607a903a704634f58ff135bdf9e3198c52e3c54

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-05T14:50:41.667139Z digest=sha256:61b481f17a9a982502d33a69bb17358218f456065a7c5ea4d86490df071b5cc4

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-05T14:50:41.670591Z digest=sha256:034e4e4e21992f24c9b7d406002accab6770c7ae859b718c8f8c9e32420601b8

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-05T14:50:41.673414Z digest=sha256:feba5ee4cbe212c399cf803e3fdf9eefa025600c3671194a7c87c8e727fc2350

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-05T14:50:41.676191Z digest=sha256:19d33726d76155bc712982bcadf5d876d4a7e40533b97cc8ecfe4973b99e0433

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-05T14:50:41.678856Z digest=sha256:0db3ca5bb690fd1aa98021affac92fc579aba541000153b9f7b233bdae3e7e26

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-05T14:50:41.681614Z digest=sha256:10d4bbc5a828cd37ed737cbcd05319ea6943df5c59ac69351f6729f2ebf4fc36

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-05T14:50:41.684241Z digest=sha256:ca1cd01fe3f599fb2bcef1c100d5cd31dc337f32b0ad0fe6791e4a8c32feb369

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-05T14:50:41.687095Z digest=sha256:03cf5a2169bd0f24e6a4e9e38e3de9404854cde83108397354e34b196cd8c051

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-05T14:50:41.689563Z digest=sha256:2a3aa7cd353da9af85dc567e72372a2edcd237c706cdcaca73aafd483712aaa0

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-05T14:50:41.692144Z digest=sha256:28a151d0a9b5abb800806737f08cfa05a4ba7f82bc207caaec5dfa3e871db9fe

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-05T14:50:41.694744Z digest=sha256:bca8b7c60e18c89484ebce445b171d3d27262f68fb9ce5fb5a94389212e5f3fc

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-05T14:50:41.697268Z digest=sha256:41a155f59b155ab692dc6042aec0fe9f885536546a131381d9db18b2bfb26f03

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-05T14:50:41.700136Z digest=sha256:e14cbf906db91378149e5d2b24397ef230bd6b96be6515eda6d4ffb523eb56a1

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-05T14:50:41.702710Z digest=sha256:d92f82cbc4cc6db17af9afa3b495012d43a7f946283d44e5248c80ed0a491a75

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-05T14:50:41.705193Z digest=sha256:a6d257910c6436660fad5ad4e2871dfe41e2a9ef4ea67acc20e097915dde4a87

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-05T14:50:41.707812Z digest=sha256:cedfe39ad1b93899c742f47e723f12adc92dbea106dd6a3bb140822feb043887

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
raw_fallback, observed 2026-08-05T14:50:41.838295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-05T14:50:41.713390Z digest=sha256:7faa9e247841ade655a84a296e218ece9f37c671d84ece76dbab32d6e4aedf20

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
raw_fallback, observed 2026-08-05T14:50:41.829141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-05T14:50:41.715916Z digest=sha256:633fa00726306338777e969b84f500b297c702f9fbc74652e1d2177b56dcb05e

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-05T14:50:41.718632Z digest=sha256:8d1f16a229af668e0067e289f1ef7f91ffc2b0bfec8ed3f2976ffcf21aefaaf9

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-05T14:50:41.721158Z digest=sha256:bb89385e00640c28234869598b7c91e985c16eaddbd75b73791b8777d835d6a8

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-05T14:50:41.726347Z digest=sha256:cbda6b13f9014e5e4af5b8f71150a703882009630369931c66f79711d8ba3759

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-05T14:50:41.729133Z digest=sha256:f9bb2dbdebc09575959bdbe1433630bca3796f564c75e6683651abdb6e1306c3

Pith citing papers

No inbound Pith citation observations are available.