Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-03T14:50:11.678291Z
Paper Citation Record · LEDGER
As of 14 August 2026, this Paper Citation Record lists 100 of 100 outbound references and 1 inbound Pith citation observation for arXiv:2512.19259.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-03T14:50:11.678291Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-07-09T18:52:42.108338Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-09T18:56:27.228305Z
100 of 100 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 652fdee3-aae0-48a1-a284-bfab2e3bb953 · outbound
Projected sensitivity of CTAO to axion-like particles from blazars with a machine learning approach Unresolved cited work
Reference 1
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 185b80f3-eaa2-415e-bcda-654d589827b1 · outbound
Projected sensitivity of CTAO to axion-like particles from blazars with a machine learning approach A New Light Boson?Phys
Reference 2
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Unavailable: canonical work link unavailable.
Observation d701202f-c6b9-41af-9fa3-8c299f49e488 · outbound
Projected sensitivity of CTAO to axion-like particles from blazars with a machine learning approach Unresolved cited work
Reference 3
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Unavailable: canonical work link unavailable.
Observation 1cab21ab-581c-4219-a9e2-3534b3acb236 · outbound
Projected sensitivity of CTAO to axion-like particles from blazars with a machine learning approach Unresolved cited work
Reference 4
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Observation b73f8bd9-b128-40e7-9e44-23cae0a9ded9 · outbound
Projected sensitivity of CTAO to axion-like particles from blazars with a machine learning approach Unresolved cited work
Reference 5
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Unavailable: canonical work link unavailable.
Observation 825a3d1d-8e95-46e9-b213-ed34311090f7 · outbound
Projected sensitivity of CTAO to axion-like particles from blazars with a machine learning approach Unresolved cited work
Reference 6
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Unavailable: canonical work link unavailable.
Observation 7df53f1d-88cf-4a6f-a4a1-963d5b0e6da3 · outbound
Projected sensitivity of CTAO to axion-like particles from blazars with a machine learning approach Shifman, A.I
Reference 7
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2ddb24fc-62d9-45a7-8c58-03610dfc64a4 · outbound
Projected sensitivity of CTAO to axion-like particles from blazars with a machine learning approach A sim- ple solution to the strong CP problem with a harmless axion.Phys
Reference 8
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Observation c47517ae-c1be-44ca-9c60-4e27e81a9bcb · outbound
Projected sensitivity of CTAO to axion-like particles from blazars with a machine learning approach Unresolved cited work
Reference 9
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Observation 50e52351-b3d9-4cd2-a691-81924e1a6395 · outbound
Projected sensitivity of CTAO to axion-like particles from blazars with a machine learning approach The low-energy frontier of particle physics.Annu
Reference 10
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Unavailable: canonical work link unavailable.
Observation 9f5e590f-8d76-4ab4-adfd-118b80334002 · outbound
Projected sensitivity of CTAO to axion-like particles from blazars with a machine learning approach Exploring the role of axions and other WISPs in the dark universe.Phys
Reference 11
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Unavailable: canonical work link unavailable.
Observation 637e87f5-d50d-4b4d-a8c3-13ee983ea16c · outbound
Projected sensitivity of CTAO to axion-like particles from blazars with a machine learning approach Irastorza and Javier Redondo
Reference 12
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Unavailable: canonical work link unavailable.
Observation 5490005c-8987-4e88-808c-69c085656d8d · outbound
Projected sensitivity of CTAO to axion-like particles from blazars with a machine learning approach The landscape of QCD axion models.Phys
Reference 13
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Unavailable: canonical work link unavailable.
Observation a9f7ba64-ec86-4073-a28c-efeb34a2b6b7 · outbound
Projected sensitivity of CTAO to axion-like particles from blazars with a machine learning approach Unresolved cited work
Reference 14
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Unavailable: canonical work link unavailable.
Observation 24387890-46de-4ed4-8751-89728b4da083 · outbound
Projected sensitivity of CTAO to axion-like particles from blazars with a machine learning approach Mixing of the photon with low-mass particles.Phys
Reference 15
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Unavailable: canonical work link unavailable.
Observation abe69de1-3d6b-4232-bfba-73390b4416d6 · outbound
Projected sensitivity of CTAO to axion-like particles from blazars with a machine learning approach Any light particle search II – Technical Design Report.J
Reference 16
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Unavailable: canonical work link unavailable.
Observation 8e28afff-7c45-43d9-bd8a-3a556c8adccb · outbound
Projected sensitivity of CTAO to axion-like particles from blazars with a machine learning approach Zioutas, C.E
Reference 17
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Unavailable: canonical work link unavailable.
Observation 1b2a5b7c-a506-4bb6-872d-9e6d761a87e6 · outbound
Projected sensitivity of CTAO to axion-like particles from blazars with a machine learning approach Armengaud, D
Reference 18
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Observation bfe4facd-4822-4126-9707-6dde2930000e · outbound
Projected sensitivity of CTAO to axion-like particles from blazars with a machine learning approach Unresolved cited work
Reference 19
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Unavailable: canonical work link unavailable.
Observation 161024d5-a62c-47cf-a8e5-3627f46eb7e4 · outbound
Projected sensitivity of CTAO to axion-like particles from blazars with a machine learning approach Unresolved cited work
Reference 20
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Unavailable: canonical work link unavailable.
Observation cdf12848-2a95-4966-a1f5-f5bb607fc13b · outbound
Projected sensitivity of CTAO to axion-like particles from blazars with a machine learning approach Unresolved cited work
Reference 21
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0243de1b-e96f-43de-a1e6-c5a06c6b93bf · outbound
Projected sensitivity of CTAO to axion-like particles from blazars with a machine learning approach Raffelt, and Pasquale D
Reference 22
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Observation ae98c3bc-e12c-43ea-af68-3ad2be9779c5 · outbound
Projected sensitivity of CTAO to axion-like particles from blazars with a machine learning approach Raffelt, and Pasquale D
Reference 23
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Unavailable: canonical work link unavailable.
Observation b9c3243d-0d07-4543-a8f4-350b3e61785d · outbound
Projected sensitivity of CTAO to axion-like particles from blazars with a machine learning approach Evidence for a new light spin-zero boson from cosmological gamma-ray propagation?Phys
Reference 24
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Unavailable: canonical work link unavailable.
Observation bf6b353e-9a4d-449d-80d4-3ea0ba9615c3 · outbound
Projected sensitivity of CTAO to axion-like particles from blazars with a machine learning approach Axion-like particles, cosmic magnetic fields and gamma-ray astrophysics.Phys
Reference 25
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Unavailable: canonical work link unavailable.
Observation 8b7d26c8-37d4-408f-92ca-e1bd040e85fa · outbound
Projected sensitivity of CTAO to axion-like particles from blazars with a machine learning approach Relevance of axionlike particles for very-high- energy astrophysics.Phys
Reference 26
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Unavailable: canonical work link unavailable.
Observation 3c41df15-7b4b-4354-bec9-39d5748d6504 · outbound
Projected sensitivity of CTAO to axion-like particles from blazars with a machine learning approach Hard- ening of TeV gamma spectrum of active galactic nuclei in galaxy clusters by conversions of photons into axionlike particles.Phys
Reference 27
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9aa1f24f-a3ea-4256-8688-2e4552b52976 · outbound
Projected sensitivity of CTAO to axion-like particles from blazars with a machine learning approach Axion-like Particle Searches with IACTs.Universe, 7(6), 2021
Reference 28
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 01fb7c89-5641-4d6d-8473-b757e6ad9df9 · outbound
Projected sensitivity of CTAO to axion-like particles from blazars with a machine learning approach Axion-like Parti- cles Implications for High-Energy Astrophysics.Universe, 8(5), 2022
Reference 29
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 11d02658-2db3-452b-8941-87b820815072 · outbound
Projected sensitivity of CTAO to axion-like particles from blazars with a machine learning approach Axion-like particle effects on the polarization of cosmic high-energy gamma sources.JCAP, 2010(05):010, may 2010
Reference 30
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Unavailable: canonical work link unavailable.
Observation 5979c453-1d67-43ff-8134-e5eae440a51a · outbound
Projected sensitivity of CTAO to axion-like particles from blazars with a machine learning approach Axion-like particle effects on photon po- larization in high-energy astrophysics.Universe, (8), 2024
Reference 31
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Observation 289a30f4-dead-4639-889a-e95a5892b044 · outbound
Projected sensitivity of CTAO to axion-like particles from blazars with a machine learning approach Breit and John A
Reference 32
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Unavailable: canonical work link unavailable.
Observation bde677e0-92ac-4ba6-bbba-ced1a8d882c8 · outbound
Projected sensitivity of CTAO to axion-like particles from blazars with a machine learning approach Dom ´ ınguez, J
Reference 33
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Unavailable: canonical work link unavailable.
Observation 9729fc02-e673-4930-bdb5-362d045585cf · outbound
Projected sensitivity of CTAO to axion-like particles from blazars with a machine learning approach Franceschini, G
Reference 34
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Unavailable: canonical work link unavailable.
Observation 5446ba83-a507-442c-adb9-adc7761014b8 · outbound
Projected sensitivity of CTAO to axion-like particles from blazars with a machine learning approach Finke, Soebur Razzaque, and Charles D
Reference 35
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Observation b532a119-0809-41c1-b85d-7311353facb1 · outbound
Projected sensitivity of CTAO to axion-like particles from blazars with a machine learning approach Gilmore, Rachel S
Reference 36
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Observation 27bf8d2e-ebb3-4473-8a6e-9ccefea14b84 · outbound
Projected sensitivity of CTAO to axion-like particles from blazars with a machine learning approach An observational determination of the evolving extragalactic background light from the multiwavelength HST/CAN- DELS survey in the Fermi and CTA era.Mon
Reference 37
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Observation 004a21e7-f49c-4e8c-8702-97454cdf4dc7 · outbound
Projected sensitivity of CTAO to axion-like particles from blazars with a machine learning approach De Angelis, G
Reference 38
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Observation 27c0d6a1-69b6-4119-a550-f7053d8b3de7 · outbound
Projected sensitivity of CTAO to axion-like particles from blazars with a machine learning approach Padovani, D
Reference 39
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Observation 1eaf30fa-97c8-4d47-a629-5b107d1ab9cf · outbound
Projected sensitivity of CTAO to axion-like particles from blazars with a machine learning approach B¨ ottcher, A
Reference 40
Source-reported events for the cited work
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Observation f18f36bb-b8e6-41ca-af2b-5c27c0f5e288 · outbound
Projected sensitivity of CTAO to axion-like particles from blazars with a machine learning approach Leptonic and hadronic radiative processes in supermassive-black-hole jets.Galaxies, 8(4), 2020
Reference 41
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6eb7df03-8e44-47ee-9baa-96665d265c91 · outbound
Projected sensitivity of CTAO to axion-like particles from blazars with a machine learning approach Progress in Multi-Wavelength and Multi-Messenger Observations of Blazars and Theoretical Challenges.Galaxies, 7(1), 2019
Reference 42
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Observation d3f0e5e3-4133-48b6-bb5f-874e860ab09a · outbound
Projected sensitivity of CTAO to axion-like particles from blazars with a machine learning approach Abramowski, F
Reference 43
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Unavailable: canonical work link unavailable.
Observation 27b93666-d940-4c51-8118-a2d626e45a6d · outbound
Projected sensitivity of CTAO to axion-like particles from blazars with a machine learning approach Constraining axion-like particles with HA WC observations of TeV blazars.JCAP, 2023(10):009, oct 2023
Reference 44
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Unavailable: canonical work link unavailable.
Observation ee41727e-fe7f-42aa-bc58-c843594f6de0 · outbound
Projected sensitivity of CTAO to axion-like particles from blazars with a machine learning approach Con- straints on axionlike particles from a combined analysis of three flaringF ermiflat-spectrum radio quasars.Phys
Reference 45
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Unavailable: canonical work link unavailable.
Observation 394c6b87-6623-43e8-b5de-7fd39bf169b5 · outbound
Projected sensitivity of CTAO to axion-like particles from blazars with a machine learning approach Ajello, A
Reference 46
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Unavailable: canonical work link unavailable.
Observation cd3c569e-4075-4270-a4c4-f78c3f501a12 · outbound
Projected sensitivity of CTAO to axion-like particles from blazars with a machine learning approach Unresolved cited work
Reference 47
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Observation 113a60f5-c767-4a50-b0dc-8fd72049671b · outbound
Projected sensitivity of CTAO to axion-like particles from blazars with a machine learning approach Acharya, M
Reference 48
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Observation d15ce38c-bdff-4b61-9422-c23e8e91ba4d · outbound
Projected sensitivity of CTAO to axion-like particles from blazars with a machine learning approach Cta+: an italian program to enhance the southern cherenkov telescope array observatory.Jour- nal of Physics: Conference Series, 3053(1):012020, jul 2025
Reference 49
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Observation 7f345c8b-067d-43ca-bafa-1e27968a9433 · outbound
Projected sensitivity of CTAO to axion-like particles from blazars with a machine learning approach Adams, R
Reference 50
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Observation c925653a-be1d-4128-b4e7-4a4563f26a16 · outbound
Projected sensitivity of CTAO to axion-like particles from blazars with a machine learning approach Acharya, I
Reference 51
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Observation f171ca2a-f88e-4ce1-8084-599296440495 · outbound
Projected sensitivity of CTAO to axion-like particles from blazars with a machine learning approach On detecting oscillations of gamma rays into axion-like par- ticles in turbulent and coherent magnetic fields.JCAP, 2014(09):003, sep 2014
Reference 52
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Observation 5cd56e4c-cc46-4fad-bda5-6117e0d38661 · outbound
Projected sensitivity of CTAO to axion-like particles from blazars with a machine learning approach Sensitivity of the Cherenkov Telescope Array to the detection of axion- like particles at high gamma-ray opacities.JCAP, 2014(12):016, dec 2014
Reference 53
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Observation e7caf0b7-9975-4628-9ef3-440d9e328e3a · outbound
Projected sensitivity of CTAO to axion-like particles from blazars with a machine learning approach Abdalla, H
Reference 54
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Observation f03a9a63-dfb3-4917-a90a-ea5ee94146fe · outbound
Projected sensitivity of CTAO to axion-like particles from blazars with a machine learning approach Abdollahi, F
Reference 55
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Observation 519d212c-e301-4f2d-8a6d-6fac75120c65 · outbound
Projected sensitivity of CTAO to axion-like particles from blazars with a machine learning approach Ballet, P
Reference 56
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Unavailable: canonical work link unavailable.
Observation 6025580a-127b-476d-9f10-ed0332d67e0b · outbound
Projected sensitivity of CTAO to axion-like particles from blazars with a machine learning approach Albert, E
Reference 57
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Unavailable: canonical work link unavailable.
Observation 83bb5716-e461-4a95-bee6-498f4ba261b4 · outbound
Projected sensitivity of CTAO to axion-like particles from blazars with a machine learning approach Aharonian, A
Reference 58
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Unavailable: canonical work link unavailable.
Observation ca9cf790-0675-4262-a0d2-96bc5b5e55e6 · outbound
Projected sensitivity of CTAO to axion-like particles from blazars with a machine learning approach gam- maALPs: An open-source python package for computing photon-axion-like-particle oscillations in astrophysical en- vironments.PoS, ICRC2021:557, 2021
Reference 59
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Observation bf6b4ae1-d4a8-4d45-8e1b-fb74f5f991da · outbound
Projected sensitivity of CTAO to axion-like particles from blazars with a machine learning approach Rele- vance of jet magnetic field structure for blazar axionlike particle searches.Phys
Reference 60
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Observation bd0db405-b129-4426-a08f-eacd6dcb8f45 · outbound
Projected sensitivity of CTAO to axion-like particles from blazars with a machine learning approach Potter and Garret Cotter
Reference 61
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Observation ad6546df-be47-4d8e-8aaf-1dfa4eb982ee · outbound
Projected sensitivity of CTAO to axion-like particles from blazars with a machine learning approach Potter and Garret Cotter
Reference 62
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Observation 6c37be16-c76a-4f68-99ac-635dace045d4 · outbound
Projected sensitivity of CTAO to axion-like particles from blazars with a machine learning approach Potter and Garret Cotter
Reference 63
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Unavailable: canonical work link unavailable.
Observation 26d82bb6-06a6-4c54-ae10-f86f914cbe18 · outbound
Projected sensitivity of CTAO to axion-like particles from blazars with a machine learning approach Potter and Garret Cotter
Reference 64
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Observation 590bf1b9-61ad-4b4d-90fe-f21a7b93b5d1 · outbound
Projected sensitivity of CTAO to axion-like particles from blazars with a machine learning approach Potter and Garret Cotter
Reference 65
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Observation 19150456-0f0c-44d8-9c47-10113f4b1d91 · outbound
Projected sensitivity of CTAO to axion-like particles from blazars with a machine learning approach Unresolved cited work
Reference 66
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Observation 767fec0d-d071-42d0-a0c7-e603086b3054 · outbound
Projected sensitivity of CTAO to axion-like particles from blazars with a machine learning approach Unresolved cited work
Reference 67
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Observation 30b8b17c-c938-43b9-8700-31cb7db5d81e · outbound
Projected sensitivity of CTAO to axion-like particles from blazars with a machine learning approach Tavecchio, G
Reference 68
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Observation 2942c15c-c6f5-48eb-b761-6c684adbc0be · outbound
Projected sensitivity of CTAO to axion-like particles from blazars with a machine learning approach Unresolved cited work
Reference 69
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Observation 91a96b86-9a60-4a33-8efa-e39e9e2d806e · outbound
Projected sensitivity of CTAO to axion-like particles from blazars with a machine learning approach Unresolved cited work
Reference 70
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Observation d0b299d6-1042-4df1-88ff-6de22b3b7149 · outbound
Projected sensitivity of CTAO to axion-like particles from blazars with a machine learning approach Gammapy: A Python package for gamma-ray astronomy.Astron
Reference 71
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Unavailable: canonical work link unavailable.
Observation 9bb661d2-fc11-49e1-bfc9-1927a11a5fb0 · outbound
Projected sensitivity of CTAO to axion-like particles from blazars with a machine learning approach Gammapy: Python toolbox for gamma-ray astronomy, March 2023
Reference 72
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Observation ffcbb9f7-40bb-4765-9196-ca8c1a4e9dfc · outbound
Projected sensitivity of CTAO to axion-like particles from blazars with a machine learning approach Astropy: A community Python package for astronomy.Astron
Reference 73
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Observation ce433a14-0106-4cf2-890d-d6ca88492f19 · outbound
Projected sensitivity of CTAO to axion-like particles from blazars with a machine learning approach The Astropy Project: Build- ing an Open-science Project and Status of the v2.0 Core Package.Astrophys
Reference 74
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Unavailable: canonical work link unavailable.
Observation dd208f75-9784-4235-9502-aa7e6d9e0002 · outbound
Projected sensitivity of CTAO to axion-like particles from blazars with a machine learning approach The Astropy Project: Sus- taining and Growing a Community-oriented Open-source Project and the Latest Major Release (v5.0) of the Core Package.Astrophys
Reference 75
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Observation 317e68a2-cce0-40e0-970d-cc7a5b473779 · outbound
Projected sensitivity of CTAO to axion-like particles from blazars with a machine learning approach Gammapy: Python toolbox for gamma-ray astronomy, January 2025
Reference 76
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Observation 70dc04a6-6d53-4b9a-bc04-415485302004 · outbound
Projected sensitivity of CTAO to axion-like particles from blazars with a machine learning approach Unresolved cited work
Reference 77
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Observation 6fa40804-e863-4e28-865b-6a1cc9b5b9c5 · outbound
Projected sensitivity of CTAO to axion-like particles from blazars with a machine learning approach CTAO Instrument Response Functions - prod5 version v0.1 , September 2021
Reference 78
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Observation e3d32bae-ed1c-4fac-8e49-0b425d5678d4 · outbound
Projected sensitivity of CTAO to axion-like particles from blazars with a machine learning approach Altenm¨ uller, V
Reference 79
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Observation c636c695-f658-466c-9a05-88ca413b78e8 · outbound
Projected sensitivity of CTAO to axion-like particles from blazars with a machine learning approach Unresolved cited work
Reference 80
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Observation aa23e17f-499e-49b9-a319-b03660528a66 · outbound
Projected sensitivity of CTAO to axion-like particles from blazars with a machine learning approach Oliphant, Matt Haberland, Tyler Reddy, et al
Reference 81
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Observation 179d41b2-c8c7-4a35-9bb4-1c2f3b3f3167 · outbound
Projected sensitivity of CTAO to axion-like particles from blazars with a machine learning approach Unresolved cited work
Reference 82
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Observation d317edd5-1f6b-40ba-9a84-a2304c7f09e7 · outbound
Projected sensitivity of CTAO to axion-like particles from blazars with a machine learning approach Pedregosa, G
Reference 83
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Observation 180daa17-3e56-445e-8970-251ed288a3d3 · outbound
Projected sensitivity of CTAO to axion-like particles from blazars with a machine learning approach Unresolved cited work
Reference 84
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Observation 5aaff0e2-90cc-40fe-b7c5-6618d99cee05 · outbound
Projected sensitivity of CTAO to axion-like particles from blazars with a machine learning approach Albert, E
Reference 85
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Observation 99d8e07c-7834-4e8a-97fd-62e20659c5e1 · outbound
Projected sensitivity of CTAO to axion-like particles from blazars with a machine learning approach Unresolved cited work
Reference 86
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Observation b12f7a99-71d8-476a-9651-65fa6969a366 · outbound
Projected sensitivity of CTAO to axion-like particles from blazars with a machine learning approach Unresolved cited work
Reference 87
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Observation e460a708-f95a-4c9e-8f0e-7999216c79f0 · outbound
Projected sensitivity of CTAO to axion-like particles from blazars with a machine learning approach XGBoost: A Scalable Tree Boosting System
Reference 88
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Observation c7d21c3d-cfae-4972-89f9-3f80c3829af1 · outbound
Projected sensitivity of CTAO to axion-like particles from blazars with a machine learning approach Accelerating the search for axion-like particles with machine learning
Reference 89
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Observation fb47d79b-f684-474a-8da6-8a36777718e0 · outbound
Projected sensitivity of CTAO to axion-like particles from blazars with a machine learning approach Li and Y.-Q
Reference 90
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Observation 35d08ddd-dc1d-421b-9b74-82f52eb7dc5d · outbound
Projected sensitivity of CTAO to axion-like particles from blazars with a machine learning approach Acharyya, R
Reference 91
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Observation 75dae5c2-ff43-4e16-ada4-311dbc4b1f5f · outbound
Projected sensitivity of CTAO to axion-like particles from blazars with a machine learning approach Sensitivity of the Cherenkov Telescope Array to TeV photon emission from the Large Magellanic Cloud.Mon
Reference 92
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Observation c896ab16-f0ac-4fef-88ba-11c94bbc1b83 · outbound
Projected sensitivity of CTAO to axion-like particles from blazars with a machine learning approach Unresolved cited work
Reference 93
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Observation 214239cf-5811-4de8-8b84-8c1b8b34e81d · outbound
Projected sensitivity of CTAO to axion-like particles from blazars with a machine learning approach Asymptotic formulae for likelihood-based tests of new physics.Eur
Reference 94
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Observation 84ecca30-6c7f-470e-9e12-37a42cd977d2 · outbound
Projected sensitivity of CTAO to axion-like particles from blazars with a machine learning approach Axion-like particles and recent observations of the cosmic infrared background radiation.Phys
Reference 95
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Observation d2655926-bc2a-49d4-acbc-9cb98da337c4 · outbound
Projected sensitivity of CTAO to axion-like particles from blazars with a machine learning approach cajohare/axionlimits: Axionlimits.https: //cajohare.github.io/AxionLimits/, July 2020
Reference 96
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Observation c3d56744-41ca-4f1f-ad2c-28060f378653 · outbound
Projected sensitivity of CTAO to axion-like particles from blazars with a machine learning approach Unresolved cited work
Reference 97
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Observation 1517c291-bc96-4f7e-a793-7aaf97b068d7 · outbound
Projected sensitivity of CTAO to axion-like particles from blazars with a machine learning approach Witte, Alexander Y
Reference 98
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Observation 0f812cb7-09c6-40bd-98e8-56b2af1dd54b · outbound
Projected sensitivity of CTAO to axion-like particles from blazars with a machine learning approach Safdi, and Inbar Savoray
Reference 99
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Observation 128571e9-0a0f-47be-b494-549d231ffc6f · outbound
Projected sensitivity of CTAO to axion-like particles from blazars with a machine learning approach Unresolved cited work
Reference 134
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Observation ab485370-5e7f-45f6-89f1-ffb0bb63c84b · inbound
Weakly supervised machine learning for model-agnostic searches of new phenomena in the $\gamma$-ray sky Projected sensitivity of CTAO to axion-like particles from blazars with a machine learning approach
Reference 47
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.