Paper Citation Record · LEDGER

Predictive Hydrodynamic Simulations for Laser Direct-drive Implosion Experiments via Artificial Intelligence

As of 7 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 1 inbound Pith citation observation for arXiv:2507.16227.

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

pith.paper-citation-record.v1
2507.16227 v1

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:20:10.996981Z

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-14T12:18:14.440620Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

22 of 22 outbound references displayed

verified exact0
verified fuzzy21
unresolved1
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b2d44e9e-f38c-4dd6-8124-69abdac1b4d4 · outbound

This paper cites Laser compression of matter to super-high densities: Thermonuclear (CTR) applications.

Predictive Hydrodynamic Simulations for Laser Direct-drive Implosion Experiments via Artificial Intelligence Laser compression of matter to super-high densities: Thermonuclear (CTR) applications

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:20:15.026086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c4c31800-892e-4917-9cb2-2a33af0d991d · outbound

This paper cites Achievement of target gain larger than unity in an inertial fusion experiment.

Predictive Hydrodynamic Simulations for Laser Direct-drive Implosion Experiments via Artificial Intelligence Achievement of target gain larger than unity in an inertial fusion experiment

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:20:14.838424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a456a03d-810e-42f2-8a86-b657ecf4b34c · outbound

This paper cites Demonstration of hot-spot fuel gain exceeding unity in direct-drive inertial confinement fusion implosions.

Predictive Hydrodynamic Simulations for Laser Direct-drive Implosion Experiments via Artificial Intelligence Demonstration of hot-spot fuel gain exceeding unity in direct-drive inertial confinement fusion implosions

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:20:14.677447Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7867c3b0-e76c-4c4d-a78b-0c2c928b8863 · outbound

This paper cites an unresolved cited work.

Predictive Hydrodynamic Simulations for Laser Direct-drive Implosion Experiments via Artificial Intelligence Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-06T15:20:14.512691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 37afa762-091a-41d3-bbf6-58e994ba3ae1 · outbound

This paper cites Physics of porous materials under extreme laser-generated conditions.

Predictive Hydrodynamic Simulations for Laser Direct-drive Implosion Experiments via Artificial Intelligence Physics of porous materials under extreme laser-generated conditions

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:20:14.367781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 630aaaf7-39e6-41e6-8f63-a2e71958c4c9 · outbound

This paper cites Focused energy, a new approach towards inertial fusion energy.

Predictive Hydrodynamic Simulations for Laser Direct-drive Implosion Experiments via Artificial Intelligence Focused energy, a new approach towards inertial fusion energy

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:20:14.213491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3d7dfdd9-365b-450c-a260-8b50aed5b7e2 · outbound

This paper cites Double-cone ignition scheme for inertial confinement fusion.

Predictive Hydrodynamic Simulations for Laser Direct-drive Implosion Experiments via Artificial Intelligence Double-cone ignition scheme for inertial confinement fusion

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:20:14.000941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 09741ff4-d44b-4083-a49d-7043a016b109 · outbound

This paper cites Machine-learning guided optimization of laser pulses for direct-drive implosions.

Predictive Hydrodynamic Simulations for Laser Direct-drive Implosion Experiments via Artificial Intelligence Machine-learning guided optimization of laser pulses for direct-drive implosions

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:20:13.858130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0ed7b78e-96ce-4a89-999b-d06dedf2c1ca · outbound

This paper cites Comparison of the evolution of Rayleigh–Taylor instability during the coasting phase of the central ignition and the double-cone ignition schemes.

Predictive Hydrodynamic Simulations for Laser Direct-drive Implosion Experiments via Artificial Intelligence Comparison of the evolution of Rayleigh–Taylor instability during the coasting phase of the central ignition and the double-cone ignition schemes

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:20:13.690301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2a46fd91-9621-42da-b456-b4d39d711485 · outbound

This paper cites Diagnosing the fast-heating process of the double-cone ignition scheme with X-ray spectroscopy.

Predictive Hydrodynamic Simulations for Laser Direct-drive Implosion Experiments via Artificial Intelligence Diagnosing the fast-heating process of the double-cone ignition scheme with X-ray spectroscopy

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:20:13.472353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4eb63383-7aef-433f-8b95-f87e3148e920 · outbound

This paper cites Observation of the colliding process of plasma jets in the double-cone ignition scheme using an x-ray streak camera.

Predictive Hydrodynamic Simulations for Laser Direct-drive Implosion Experiments via Artificial Intelligence Observation of the colliding process of plasma jets in the double-cone ignition scheme using an x-ray streak camera

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:20:13.290533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e35eccaf-3640-4050-8eef-2a29025008ab · outbound

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

Predictive Hydrodynamic Simulations for Laser Direct-drive Implosion Experiments via Artificial Intelligence Data-driven prediction of scaling and ignition of inertial confinement fusion experiments

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:20:13.130068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2125a036-a4ee-4e82-bc49-d3c94a25a75b · outbound

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

Predictive Hydrodynamic Simulations for Laser Direct-drive Implosion Experiments via Artificial Intelligence Transfer learning to model inertial confinement fusion experiments

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:20:12.966883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2412f959-c26b-45d1-adfc-bd46638ba0b8 · outbound

This paper cites Transfer learning driven design optimization for inertial confine- ment fusion.

Predictive Hydrodynamic Simulations for Laser Direct-drive Implosion Experiments via Artificial Intelligence Transfer learning driven design optimization for inertial confine- ment fusion

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:20:12.806921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 76ea1412-b96b-437f-bdb1-adc15ebc4356 · outbound

This paper cites Tripled yield in direct- drive laser fusion through statistical modelling.

Predictive Hydrodynamic Simulations for Laser Direct-drive Implosion Experiments via Artificial Intelligence Tripled yield in direct- drive laser fusion through statistical modelling

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:20:12.661983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2ad9a1e0-293d-4f26-9c5a-607e2440c772 · outbound

This paper cites How numerical simulations helped to achieve breakeven on the NIF.

Predictive Hydrodynamic Simulations for Laser Direct-drive Implosion Experiments via Artificial Intelligence How numerical simulations helped to achieve breakeven on the NIF

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:20:12.504039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation fba01e40-e62d-4e6f-a779-a256ebbbe8bc · outbound

This paper cites Hybrid optimization of laser-driven fusion targets and laser profiles.

Predictive Hydrodynamic Simulations for Laser Direct-drive Implosion Experiments via Artificial Intelligence Hybrid optimization of laser-driven fusion targets and laser profiles

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:20:12.346014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 40e5da60-2de6-4be3-8e14-55b94964cbf9 · outbound

This paper cites MULTI- IFE—A one-dimensional computer code for Inertial Fusion Energy (IFE) target simulations.

Predictive Hydrodynamic Simulations for Laser Direct-drive Implosion Experiments via Artificial Intelligence MULTI- IFE—A one-dimensional computer code for Inertial Fusion Energy (IFE) target simulations

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:20:12.170144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f9450335-2990-414d-9875-06e73ba78ea4 · outbound

This paper cites Transformer-powered sur- rogates close the ICF simulation-experiment gap with extremely limited data.

Predictive Hydrodynamic Simulations for Laser Direct-drive Implosion Experiments via Artificial Intelligence Transformer-powered sur- rogates close the ICF simulation-experiment gap with extremely limited data

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:20:11.998166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 879be73c-49c3-49b4-b360-58c9fd63b76b · outbound

This paper cites Attention is all you need.

Predictive Hydrodynamic Simulations for Laser Direct-drive Implosion Experiments via Artificial Intelligence Attention is all you need

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:20:11.835260Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 527c7ca7-b554-4f33-8298-8efe5654774f · outbound

This paper cites Bert: Pre-training of deep bidirectional transformers for language understanding.

Predictive Hydrodynamic Simulations for Laser Direct-drive Implosion Experiments via Artificial Intelligence Bert: Pre-training of deep bidirectional transformers for language understanding

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:20:11.623259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7ddfaffa-f4f4-4237-bea2-ce7560269d5e · outbound

This paper cites A comparison of three methods for selecting values of input variables in the analysis of output from a computer code.

Predictive Hydrodynamic Simulations for Laser Direct-drive Implosion Experiments via Artificial Intelligence A comparison of three methods for selecting values of input variables in the analysis of output from a computer code

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:20:11.307204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Pith citing papers

Observation c9214a64-83f5-4911-aa58-0aab2d2ba7c3 · inbound

Co4ICF: Co-evolving Physics-Informed Surrogate and RL-based Pulse Optimizer for Inertial Confinement Fusion cites this paper.

Co4ICF: Co-evolving Physics-Informed Surrogate and RL-based Pulse Optimizer for Inertial Confinement Fusion Predictive Hydrodynamic Simulations for Laser Direct-drive Implosion Experiments via Artificial Intelligence

Reference 22

Resolution: unresolved; no resolver link, observed 2026-07-14T12:18:14.440620Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.