Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-02T01:37:30.913587Z
Paper Citation Record · LEDGER
Machine Learning for Complex Instrument Design and Optimization
As of 10 August 2026, this Paper Citation Record lists 60 of 60 outbound references and 0 inbound Pith citation observations for arXiv:2607.14619.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
60 of 60 outbound references displayed
- verified exact3
- verified fuzzy0
- unresolved56
- parse uncertain1
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 7ebfd244-e50c-4785-8600-6a486794c744 · outbound
This paper cites doi:10.1088/0264-9381/31/24/245010 , url =.
Machine Learning for Complex Instrument Design and Optimization doi:10.1088/0264-9381/31/24/245010 , url =
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T01:37:23.622915Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e81002cd-effe-46b6-b2c9-04eb1b62d037 · outbound
This paper cites AtlFast3: the next generation of fast simulation in ATLAS.
Machine Learning for Complex Instrument Design and Optimization AtlFast3: the next generation of fast simulation in ATLAS
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T01:37:23.722845Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 44dfc6bc-1b99-4075-9a04-7f0b1959adab · outbound
This paper cites Classical and quantum gravity , volume=.
Machine Learning for Complex Instrument Design and Optimization Classical and quantum gravity , volume=
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T01:37:23.860387Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fa7c7917-18a0-477a-9da8-987ea86f205f · outbound
This paper cites Journal of Machine Learning Research , year =.
Machine Learning for Complex Instrument Design and Optimization Journal of Machine Learning Research , year =
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T01:37:24.002348Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4feef0a2-d9a3-4464-b8a7-ab7b5b484e59 · outbound
This paper cites SIAM review , volume=.
Machine Learning for Complex Instrument Design and Optimization SIAM review , volume=
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T01:37:24.140743Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 011bfa3f-c77f-4654-b748-a1ad9252eb9d · outbound
This paper cites Advances in Neural Information Processing Systems 30 , editor =.
Machine Learning for Complex Instrument Design and Optimization Advances in Neural Information Processing Systems 30 , editor =
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T01:37:24.241922Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f454b80e-9633-4b3c-8d1a-08aac9fdfa18 · outbound
This paper cites 2008 eighth ieee international conference on data mining , pages=.
Machine Learning for Complex Instrument Design and Optimization 2008 eighth ieee international conference on data mining , pages=
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T01:37:24.376870Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f3dfe743-db81-4cd8-94cd-27e11ac06548 · outbound
This paper cites SoftwareX , volume=.
Machine Learning for Complex Instrument Design and Optimization SoftwareX , volume=
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T01:37:24.514777Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9679e2d8-d90f-4491-a460-a8fa6a72a339 · outbound
This paper cites AAAI 2020 Fall Symposium on Physics-Guided AI to Accelerate Scientific Discovery , year=.
Machine Learning for Complex Instrument Design and Optimization AAAI 2020 Fall Symposium on Physics-Guided AI to Accelerate Scientific Discovery , year=
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T01:37:24.681040Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d03bd502-4de5-4f60-979b-a1e520aa4229 · outbound
This paper cites Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment , volume=.
Machine Learning for Complex Instrument Design and Optimization Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment , volume=
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T01:37:24.843606Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b8e1a64f-abac-4f08-be7f-da5985004ffc · outbound
This paper cites PloS one , volume=.
Machine Learning for Complex Instrument Design and Optimization PloS one , volume=
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T01:37:25.046888Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0279ecae-78ed-438c-bdff-2ce5210c2361 · outbound
This paper cites an unresolved cited work.
Machine Learning for Complex Instrument Design and Optimization Unresolved cited work
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T01:37:25.247145Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8b033fd0-1754-41b6-ba7b-4fc27512bb52 · outbound
This paper cites Proceedings of the European Conference on Computer Vision (ECCV) , pages=.
Machine Learning for Complex Instrument Design and Optimization Proceedings of the European Conference on Computer Vision (ECCV) , pages=
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T01:37:25.429346Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4c7b099e-7261-46f9-8c24-d1bba9694420 · outbound
This paper cites Physical review letters , volume=.
Machine Learning for Complex Instrument Design and Optimization Physical review letters , volume=
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T01:37:25.645156Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 446c6383-ebac-4b53-b4c9-1ff5a9b8e318 · outbound
This paper cites an unresolved cited work.
Machine Learning for Complex Instrument Design and Optimization Unresolved cited work
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T01:37:25.777743Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 96961a3e-9182-4c37-a20f-a0f59dc36b83 · outbound
This paper cites Computing and Software for Big Science , volume=.
Machine Learning for Complex Instrument Design and Optimization Computing and Software for Big Science , volume=
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T01:37:25.958161Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ec79f086-ba9a-4364-bb73-b0461dde1203 · outbound
This paper cites npj Computational Materials , volume=.
Machine Learning for Complex Instrument Design and Optimization npj Computational Materials , volume=
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T01:37:26.125056Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9a47b039-5bfe-48e0-b28a-b15b120498a5 · outbound
This paper cites Journal of Cheminformatics , volume=.
Machine Learning for Complex Instrument Design and Optimization Journal of Cheminformatics , volume=
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T01:37:26.284289Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ab88e1cc-72bd-4783-a740-ad09c9b7f305 · outbound
This paper cites Physics Letters B , volume=.
Machine Learning for Complex Instrument Design and Optimization Physics Letters B , volume=
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T01:37:26.459094Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9d8aa4fa-baee-4049-a97b-56fdcbe0b7b3 · outbound
This paper cites Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=.
Machine Learning for Complex Instrument Design and Optimization Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T01:37:26.597239Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dd0badb1-879d-4bde-a4ac-cb1651c374eb · outbound
This paper cites Communications of the ACM , volume=.
Machine Learning for Complex Instrument Design and Optimization Communications of the ACM , volume=
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T01:37:26.689555Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 84cbddac-a34a-4985-b600-d74de33eda20 · outbound
This paper cites Bayesian Optimization is Superior to Random Search for Machine Learning Hyperparameter Tuning: Analysis of the Black-Box Optimization Challenge 2020.
Machine Learning for Complex Instrument Design and Optimization Bayesian Optimization is Superior to Random Search for Machine Learning Hyperparameter Tuning: Analysis of the Black-Box Optimization Challenge 2020
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T01:37:26.782513Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 446d10d1-4b10-4e73-bcb5-de03c9506165 · outbound
This paper cites Proceedings of the 7th International Particle Accelerator Conference , year=.
Machine Learning for Complex Instrument Design and Optimization Proceedings of the 7th International Particle Accelerator Conference , year=
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T01:37:26.881615Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation caa7d7cb-900a-4899-8713-febd5dc6271f · outbound
This paper cites Finesse, Frequency domain INterferomEter Simulation SoftwarE.
Machine Learning for Complex Instrument Design and Optimization Finesse, Frequency domain INterferomEter Simulation SoftwarE
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T01:37:26.969190Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation db93ec04-6002-48f9-b303-befe447ee93b · outbound
This paper cites Nuclear instruments and methods in physics research section A: Accelerators, Spectrometers, Detectors and Associated Equipment , volume=.
Machine Learning for Complex Instrument Design and Optimization Nuclear instruments and methods in physics research section A: Accelerators, Spectrometers, Detectors and Associated Equipment , volume=
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T01:37:27.054773Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 157cdd2f-bbe3-4d17-80c7-8be7132da881 · outbound
This paper cites Journal of intelligent information systems , volume=.
Machine Learning for Complex Instrument Design and Optimization Journal of intelligent information systems , volume=
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T01:37:27.242508Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4cf686e2-2a06-4845-ad04-f0b2ed71d161 · outbound
This paper cites , author=.
Machine Learning for Complex Instrument Design and Optimization , author=
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T01:37:27.324766Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b0124eab-f8b1-491a-9074-03487803b600 · outbound
This paper cites Proceedings of the second workshop on data management for end-to-end machine learning , pages=.
Machine Learning for Complex Instrument Design and Optimization Proceedings of the second workshop on data management for end-to-end machine learning , pages=
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T01:37:27.421129Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 23f400e4-6df9-4911-a0f5-c077d1ade161 · outbound
This paper cites arXiv e-prints , pages=.
Machine Learning for Complex Instrument Design and Optimization arXiv e-prints , pages=
Reference 29
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T01:37:27.508455Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e079cff2-bf58-460c-887e-b8098bca1414 · outbound
This paper cites 2009 , publisher=.
Machine Learning for Complex Instrument Design and Optimization 2009 , publisher=
Reference 30
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T01:37:27.662048Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9b7ecae0-d613-4e4c-bf96-42949c778581 · outbound
This paper cites Journal of the American society for information science , volume=.
Machine Learning for Complex Instrument Design and Optimization Journal of the American society for information science , volume=
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T01:37:27.669234Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5eb080f7-22b7-4385-a9e4-ad4101800ff2 · outbound
This paper cites Advances in Neural Information Processing Systems , volume=.
Machine Learning for Complex Instrument Design and Optimization Advances in Neural Information Processing Systems , volume=
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T01:37:27.703831Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 120f6ff2-71eb-4868-a178-ae0348eb4d14 · outbound
This paper cites IEEE Transactions on knowledge and data engineering , volume=.
Machine Learning for Complex Instrument Design and Optimization IEEE Transactions on knowledge and data engineering , volume=
Reference 33
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T01:37:27.759428Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 821e8813-03de-4a24-9caa-f38b297f39cc · outbound
This paper cites ACM computing surveys (CSUR) , volume=.
Machine Learning for Complex Instrument Design and Optimization ACM computing surveys (CSUR) , volume=
Reference 34
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T01:37:27.821858Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3077d47f-4578-4413-b99c-e59f4cf96649 · outbound
This paper cites Journal of Physics: Conference Series , volume=.
Machine Learning for Complex Instrument Design and Optimization Journal of Physics: Conference Series , volume=
Reference 35
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T01:37:27.881863Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 77780836-40e7-4455-b12e-c5c56b826026 · outbound
This paper cites International Cross-Domain Conference for Machine Learning and Knowledge Extraction , pages=.
Machine Learning for Complex Instrument Design and Optimization International Cross-Domain Conference for Machine Learning and Knowledge Extraction , pages=
Reference 36
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T01:37:27.978364Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 413e0158-21ac-4d10-bbc1-5cda3b7b4f63 · outbound
This paper cites Mechanical Systems and Signal Processing , volume=.
Machine Learning for Complex Instrument Design and Optimization Mechanical Systems and Signal Processing , volume=
Reference 37
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T01:37:28.048496Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 946b56ef-1ce4-466a-8821-8827e5fefba1 · outbound
This paper cites an unresolved cited work.
Machine Learning for Complex Instrument Design and Optimization Unresolved cited work
Reference 38
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T01:37:28.219415Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0cdc7618-f76f-4903-b1e0-633a7b0c1400 · outbound
This paper cites 2017 IEEE international conference on data mining (ICDM) , pages=.
Machine Learning for Complex Instrument Design and Optimization 2017 IEEE international conference on data mining (ICDM) , pages=
Reference 39
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T01:37:28.435548Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c32e0ca3-5890-46d3-a546-03e6c7b16573 · outbound
This paper cites Machine Learning: Science and Technology , volume=.
Machine Learning for Complex Instrument Design and Optimization Machine Learning: Science and Technology , volume=
Reference 40
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T01:37:28.646624Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1cf355d4-231c-4f7d-8024-161af91615b8 · outbound
This paper cites Philosophical Transactions of the Royal Society A , volume=.
Machine Learning for Complex Instrument Design and Optimization Philosophical Transactions of the Royal Society A , volume=
Reference 41
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T01:37:28.734129Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f9e193f5-d798-42cd-af06-36279d8f124b · outbound
This paper cites Opportunities in Machine Learning for Particle Accelerators.
Machine Learning for Complex Instrument Design and Optimization Opportunities in Machine Learning for Particle Accelerators
Reference 42
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T01:37:28.754780Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0701b102-488b-4ced-b9db-3dc636b30f51 · outbound
This paper cites an unresolved cited work.
Machine Learning for Complex Instrument Design and Optimization Unresolved cited work
Reference 43
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T01:37:28.833473Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f3346d04-b4ee-434c-8d82-a8b63d03cfd4 · outbound
This paper cites IEEE Transactions on Plasma Science , volume=.
Machine Learning for Complex Instrument Design and Optimization IEEE Transactions on Plasma Science , volume=
Reference 44
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T01:37:28.931561Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3ea29f37-e84d-4a26-bbfe-4328d269d7d4 · outbound
This paper cites 2012 16th IEEE Mediterranean Electrotechnical Conference , pages=.
Machine Learning for Complex Instrument Design and Optimization 2012 16th IEEE Mediterranean Electrotechnical Conference , pages=
Reference 45
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T01:37:29.030444Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 87098277-e599-45b0-9958-0a59bfb11194 · outbound
This paper cites Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment , volume=.
Machine Learning for Complex Instrument Design and Optimization Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment , volume=
Reference 46
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T01:37:29.125372Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b5b7105c-0842-4245-ad18-f12a3b77fd82 · outbound
This paper cites Proceedings of the European Particle Accelerator Conference , pages=.
Machine Learning for Complex Instrument Design and Optimization Proceedings of the European Particle Accelerator Conference , pages=
Reference 47
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T01:37:29.172152Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c88e7104-ed3b-4f3b-bdb6-e69b15f8e7a8 · outbound
This paper cites particle acceleration control , author=.
Machine Learning for Complex Instrument Design and Optimization particle acceleration control , author=
Reference 48
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T01:37:29.324509Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0e7c27e1-5455-472b-8ae9-5957a2816184 · outbound
This paper cites 1 , author=.
Machine Learning for Complex Instrument Design and Optimization 1 , author=
Reference 49
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T01:37:29.389706Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a37b206d-327f-482f-bd0a-5f5174999106 · outbound
This paper cites Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment , volume=.
Machine Learning for Complex Instrument Design and Optimization Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment , volume=
Reference 50
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T01:37:29.540060Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2db95862-e562-483d-9cd1-1c17aea73bcc · outbound
This paper cites an unresolved cited work.
Machine Learning for Complex Instrument Design and Optimization Unresolved cited work
Reference 51
- Resolution
- verified exact
- doi, observed 2026-08-02T01:39:15.627677Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 1076e74e-26b0-4c94-af2a-45d8553a6591 · outbound
This paper cites A 2 per cent Hubble constant measurement from standard sirens within 5 years.
Machine Learning for Complex Instrument Design and Optimization A 2 per cent Hubble constant measurement from standard sirens within 5 years
Reference 52
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T01:37:29.849059Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b8040b5c-71c4-4941-9b57-8ab9044bd87d · outbound
This paper cites and Baiotti, Luca and Creighton, Jolien D.
Machine Learning for Complex Instrument Design and Optimization and Baiotti, Luca and Creighton, Jolien D
Reference 53
- Resolution
- verified exact
- doi, observed 2026-08-02T01:39:15.223332Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 178830dd-3d35-4e05-a84c-e6c2a99a4efb · outbound
This paper cites Environmental influences on the.
Machine Learning for Complex Instrument Design and Optimization Environmental influences on the
Reference 54
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T01:37:30.212311Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ace506fe-0a50-492c-a0b2-450fa62fd5f1 · outbound
This paper cites Environmental noise in.
Machine Learning for Complex Instrument Design and Optimization Environmental noise in
Reference 55
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T01:37:30.436292Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 450a3bdd-3fbc-4030-8193-9239f1c83ef5 · outbound
This paper cites an unresolved cited work.
Machine Learning for Complex Instrument Design and Optimization Unresolved cited work
Reference 56
- Resolution
- verified exact
- doi, observed 2026-08-02T01:39:14.873043Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation a367b431-7bd6-41d9-8fcc-a0364eb470a6 · outbound
This paper cites Classical and Quantum Gravity , abstract =.
Machine Learning for Complex Instrument Design and Optimization Classical and Quantum Gravity , abstract =
Reference 57
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T01:37:30.707374Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 58ab21fb-ed3a-4f6e-beba-2e43033cb335 · outbound
This paper cites Finesse , Url =.
Machine Learning for Complex Instrument Design and Optimization Finesse , Url =
Reference 58
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T01:37:30.808310Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 956fd2c6-a565-4642-9301-35a25a2660ab · outbound
This paper cites Brown and Philip Jones and Samuel Rowlinson and Sean Leavey and Anna C.
Machine Learning for Complex Instrument Design and Optimization Brown and Philip Jones and Samuel Rowlinson and Sean Leavey and Anna C
Reference 59
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T01:37:30.856169Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0f054222-f6c7-466a-b4b8-e38a82e3a53e · outbound
This paper cites an unresolved cited work.
Machine Learning for Complex Instrument Design and Optimization Unresolved cited work
Reference 60
- Resolution
- parse uncertain
- no resolver link, observed 2026-08-02T01:37:30.913587Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
No inbound Pith citation observations are available.