Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-10T17:47:53.297212Z
Paper Citation Record · LEDGER
Probing dark matter through charged Higgs pair production at future multi-TeV muon colliders: A machine-learning analysis
As of 22 August 2026, this Paper Citation Record lists 77 of 77 outbound references and 0 inbound Pith citation observations for arXiv:2608.06957.
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 2026-08-22T06:32:14.747728+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
77 of 77 outbound references displayed
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- verified fuzzy2
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External citation measurements
No source-named external measurement is stored.
Outbound references
Observation b91e0da2-a8fa-4f65-b31d-db306edf3328 · outbound
This paper cites Observation of a new particle in the search for the Standard Model Higgs boson with the ATLAS detector at the LHC.
Probing dark matter through charged Higgs pair production at future multi-TeV muon colliders: A machine-learning analysis Observation of a new particle in the search for the Standard Model Higgs boson with the ATLAS detector at the LHC
Reference 1
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Observation f29e982a-d558-48a0-82e4-dddbe894b03c · outbound
This paper cites Observation of a new boson at a mass of 125 GeV with the CMS experiment at the LHC.
Probing dark matter through charged Higgs pair production at future multi-TeV muon colliders: A machine-learning analysis Observation of a new boson at a mass of 125 GeV with the CMS experiment at the LHC
Reference 2
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Observation 7b3c7842-f01e-4e14-987a-a497c9c5163a · outbound
This paper cites Planck 2018 results. I. Overview and the cosmological legacy of Planck.
Probing dark matter through charged Higgs pair production at future multi-TeV muon colliders: A machine-learning analysis Planck 2018 results. I. Overview and the cosmological legacy of Planck
Reference 3
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Observation d6152e27-d467-45dd-87e1-3b82d99732fd · outbound
This paper cites Planck 2018 results. VI. Cosmological parameters.
Probing dark matter through charged Higgs pair production at future multi-TeV muon colliders: A machine-learning analysis Planck 2018 results. VI. Cosmological parameters
Reference 4
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This paper cites an unresolved cited work.
Probing dark matter through charged Higgs pair production at future multi-TeV muon colliders: A machine-learning analysis Unresolved cited work
Reference 5
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Observation 48c6be5e-3532-4225-bcdd-2ce77bc486f5 · outbound
This paper cites Ma, Phys.
Reference 6
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Observation 9aa3b51f-41f5-4983-bd79-582f52717c3d · outbound
This paper cites Precise probing of the inert Higgs-doublet model at the LHC.
Probing dark matter through charged Higgs pair production at future multi-TeV muon colliders: A machine-learning analysis Precise probing of the inert Higgs-doublet model at the LHC
Reference 7
- Resolution
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Observation 6c4323eb-f10f-4d1a-803c-0eb6cfd4d947 · outbound
This paper cites Belyaev, G.
Reference 8
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Observation 7e7c608a-5448-4b8a-b37e-381f470dfc15 · outbound
This paper cites Constraining the Inert Doublet Model using Vector Boson Fusion.
Probing dark matter through charged Higgs pair production at future multi-TeV muon colliders: A machine-learning analysis Constraining the Inert Doublet Model using Vector Boson Fusion
Reference 9
- Resolution
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Observation 215084b4-7b28-4d4f-b87f-ab05fa56b253 · outbound
This paper cites Vector Boson Fusion in the Inert Doublet Model.
Probing dark matter through charged Higgs pair production at future multi-TeV muon colliders: A machine-learning analysis Vector Boson Fusion in the Inert Doublet Model
Reference 10
- Resolution
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Observation a096e37b-c9b4-4081-abd8-5979f0d45622 · outbound
This paper cites Constraints to Dark Matter from Inert Higgs Doublet Model.
Probing dark matter through charged Higgs pair production at future multi-TeV muon colliders: A machine-learning analysis Constraints to Dark Matter from Inert Higgs Doublet Model
Reference 11
- Resolution
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Observation 7e0e44fc-b892-4d36-8be3-7ddaae9cd1a6 · outbound
This paper cites an unresolved cited work.
Probing dark matter through charged Higgs pair production at future multi-TeV muon colliders: A machine-learning analysis Unresolved cited work
Reference 12
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Observation 61a2d646-250a-4b03-842e-8c2d44b94304 · outbound
This paper cites Exploring the Inert Doublet Model through the dijet plus missing transverse energy channel at the LHC.
Probing dark matter through charged Higgs pair production at future multi-TeV muon colliders: A machine-learning analysis Exploring the Inert Doublet Model through the dijet plus missing transverse energy channel at the LHC
Reference 13
- Resolution
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Observation 9da24945-92c1-4149-aa28-ef291d49b1a7 · outbound
This paper cites Exploring collider signatures of the inert Higgs doublet model.
Probing dark matter through charged Higgs pair production at future multi-TeV muon colliders: A machine-learning analysis Exploring collider signatures of the inert Higgs doublet model
Reference 14
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Observation 53f79edf-eeb6-42fb-aaf0-a96d46476ea8 · outbound
This paper cites Status of the Inert Doublet Model and the Role of multileptons at the LHC.
Probing dark matter through charged Higgs pair production at future multi-TeV muon colliders: A machine-learning analysis Status of the Inert Doublet Model and the Role of multileptons at the LHC
Reference 15
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Observation 7fe332bd-c5c2-426f-96e3-5a94c3a4e2ee · outbound
This paper cites Higgs-strahlung at the LHC in the inert doublet model.
Probing dark matter through charged Higgs pair production at future multi-TeV muon colliders: A machine-learning analysis Higgs-strahlung at the LHC in the inert doublet model
Reference 16
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Observation 67917108-76bf-4013-a0d8-0bf1147a2d57 · outbound
This paper cites Inert Higgs Dark Matter for CDF-II W-boson Mass and Detection Prospects.
Probing dark matter through charged Higgs pair production at future multi-TeV muon colliders: A machine-learning analysis Inert Higgs Dark Matter for CDF-II W-boson Mass and Detection Prospects
Reference 17
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Observation 76887d65-6c00-44d3-bb37-9ccd32a1ef82 · outbound
This paper cites Pair production of charged IDM scalars at high energy CLIC.
Probing dark matter through charged Higgs pair production at future multi-TeV muon colliders: A machine-learning analysis Pair production of charged IDM scalars at high energy CLIC
Reference 18
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Observation 889a6b58-6c0b-48e2-b885-e12bd3938439 · outbound
This paper cites Pair-production of the charged IDM scalars at high energy CLIC.
Probing dark matter through charged Higgs pair production at future multi-TeV muon colliders: A machine-learning analysis Pair-production of the charged IDM scalars at high energy CLIC
Reference 19
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Observation a14b0ad2-3296-4cec-9833-ddb81fb2f46c · outbound
This paper cites Benchmarking the Inert Doublet Model for e+ e- colliders.
Probing dark matter through charged Higgs pair production at future multi-TeV muon colliders: A machine-learning analysis Benchmarking the Inert Doublet Model for e+ e- colliders
Reference 20
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Observation f67092fe-aa20-4db8-8815-383760b29138 · outbound
This paper cites Production of Inert Scalars at the high energy $e^+ e^-$ colliders.
Probing dark matter through charged Higgs pair production at future multi-TeV muon colliders: A machine-learning analysis Production of Inert Scalars at the high energy $e^+ e^-$ colliders
Reference 21
- Resolution
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Observation b2e9df79-fc1f-4ba1-a50a-e0741c39de57 · outbound
This paper cites Reconstruction of Inert Doublet Scalars at the International Linear Collider.
Probing dark matter through charged Higgs pair production at future multi-TeV muon colliders: A machine-learning analysis Reconstruction of Inert Doublet Scalars at the International Linear Collider
Reference 22
- Resolution
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Observation 438e1bfd-b4f1-42eb-8975-c8b40a941fa0 · outbound
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Reference 23
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Observation 70ee16d5-3e33-4a68-b55a-b4f98262487d · outbound
This paper cites Searches for dark matter via charged Higgs pair production in the Inert Doublet Model at $\gamma\gamma$ collider.
Probing dark matter through charged Higgs pair production at future multi-TeV muon colliders: A machine-learning analysis Searches for dark matter via charged Higgs pair production in the Inert Doublet Model at $\gamma\gamma$ collider
Reference 24
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This paper cites Probing the Inert Doublet Model via Vector-Boson Fusion at a Muon Collider.
Probing dark matter through charged Higgs pair production at future multi-TeV muon colliders: A machine-learning analysis Probing the Inert Doublet Model via Vector-Boson Fusion at a Muon Collider
Reference 25
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Observation 588ead8d-dfb4-47c3-ad0f-fafdd45f18f1 · outbound
This paper cites Dark matter in the Inert Doublet Model after the discovery of a Higgs-like boson at the LHC.
Probing dark matter through charged Higgs pair production at future multi-TeV muon colliders: A machine-learning analysis Dark matter in the Inert Doublet Model after the discovery of a Higgs-like boson at the LHC
Reference 26
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This paper cites Arina, J.
Reference 27
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Observation 43359b1a-f716-4b23-8bef-bd7a01f68e9d · outbound
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Probing dark matter through charged Higgs pair production at future multi-TeV muon colliders: A machine-learning analysis Gustafsson, E
Reference 28
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Observation 549b7997-c73c-4eca-b03a-b613f89194d1 · outbound
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Probing dark matter through charged Higgs pair production at future multi-TeV muon colliders: A machine-learning analysis Positrons and antiprotons from inert doublet model dark matter
Reference 29
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This paper cites Electroweak corrections to the direct detection cross section of inert higgs dark matter.
Probing dark matter through charged Higgs pair production at future multi-TeV muon colliders: A machine-learning analysis Electroweak corrections to the direct detection cross section of inert higgs dark matter
Reference 30
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Probing dark matter through charged Higgs pair production at future multi-TeV muon colliders: A machine-learning analysis Probing the inert doublet model using jet substructure with a multivariate analysis
Reference 31
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Probing dark matter through charged Higgs pair production at future multi-TeV muon colliders: A machine-learning analysis The inert doublet model in the light of Fermi-LAT gamma-ray data: a global fit analysis
Reference 32
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Probing dark matter through charged Higgs pair production at future multi-TeV muon colliders: A machine-learning analysis Radiative corrections to the Triple Higgs Coupling in the Inert Higgs Doublet Model
Reference 33
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Probing dark matter through charged Higgs pair production at future multi-TeV muon colliders: A machine-learning analysis Associated Production of Higgs at Linear Collider in the Inert Higgs Doublet Model
Reference 34
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Probing dark matter through charged Higgs pair production at future multi-TeV muon colliders: A machine-learning analysis Unresolved cited work
Reference 35
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Observation 8f970d65-cd47-4798-816c-46706481cb9f · outbound
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Probing dark matter through charged Higgs pair production at future multi-TeV muon colliders: A machine-learning analysis One-loop radiative corrections to $e^+ e^-\to Zh^0/H^0A^0$ in the Inert Higgs Doublet Model
Reference 36
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Probing dark matter through charged Higgs pair production at future multi-TeV muon colliders: A machine-learning analysis One-loop QED and Weak Corrections to $\gamma \gamma \to H^\pm H^\mp$ in the Inert Doublet Model
Reference 38
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Probing dark matter through charged Higgs pair production at future multi-TeV muon colliders: A machine-learning analysis Apollinari, I
Reference 39
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Probing dark matter through charged Higgs pair production at future multi-TeV muon colliders: A machine-learning analysis Accettura et al
Reference 41
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Probing dark matter through charged Higgs pair production at future multi-TeV muon colliders: A machine-learning analysis Revisiting Inert Doublet Model Parameters
Reference 42
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Probing dark matter through charged Higgs pair production at future multi-TeV muon colliders: A machine-learning analysis Leading two-loop corrections to the Higgs di-photon decay in the Inert Doublet Model
Reference 44
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Probing dark matter through charged Higgs pair production at future multi-TeV muon colliders: A machine-learning analysis Evolution of Universe to the present inert phase
Reference 45
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Probing dark matter through charged Higgs pair production at future multi-TeV muon colliders: A machine-learning analysis Mass bounds of the lightest CP-even Higgs boson in the two-Higgs-doublet model
Reference 46
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Probing dark matter through charged Higgs pair production at future multi-TeV muon colliders: A machine-learning analysis Lee-Quigg-Thacker Bounds for Higgs Boson Masses in a Two-Doublet Model
Reference 47
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Probing dark matter through charged Higgs pair production at future multi-TeV muon colliders: A machine-learning analysis Note on tree-level unitarity in the General Two Higgs Doublet Model
Reference 48
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Observation eb977270-2656-4ff2-9138-e6e7eec081bd · outbound
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Probing dark matter through charged Higgs pair production at future multi-TeV muon colliders: A machine-learning analysis Inert Doublet Model and LEP II Limits
Reference 49
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Probing dark matter through charged Higgs pair production at future multi-TeV muon colliders: A machine-learning analysis Diphoton rate in the Inert Doublet Model with a 125 GeV Higgs boson
Reference 50
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Observation 75706278-78b9-47b5-86f8-1871c9e6699e · outbound
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Probing dark matter through charged Higgs pair production at future multi-TeV muon colliders: A machine-learning analysis h\to \gamma \gamma In Inert Higgs Doublet Model
Reference 51
- Resolution
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- local_arxiv, observed 2026-08-10T17:47:54.112631Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 4bac1bd1-eda5-47ac-afcf-1ed50ee2ce75 · outbound
This paper cites Natural Dark Matter from an Unnatural Higgs Boson and New Colored Particles at the TeV Scale.
Probing dark matter through charged Higgs pair production at future multi-TeV muon colliders: A machine-learning analysis Natural Dark Matter from an Unnatural Higgs Boson and New Colored Particles at the TeV Scale
Reference 52
- Resolution
- verified exact
- local_arxiv, observed 2026-08-10T17:47:54.098643Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 27d0fd6e-c00d-419d-a09c-d4dcabb084fe · outbound
This paper cites Two-loop corrections to the $\rho$ parameter in Two-Higgs-Doublet Models.
Probing dark matter through charged Higgs pair production at future multi-TeV muon colliders: A machine-learning analysis Two-loop corrections to the $\rho$ parameter in Two-Higgs-Doublet Models
Reference 53
- Resolution
- verified exact
- local_arxiv, observed 2026-08-10T17:47:54.084174Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 23033e78-8542-4e8b-b30d-ad1393890913 · outbound
This paper cites 2HDMC - Two-Higgs-Doublet Model Calculator.
Probing dark matter through charged Higgs pair production at future multi-TeV muon colliders: A machine-learning analysis 2HDMC - Two-Higgs-Doublet Model Calculator
Reference 54
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T17:47:53.214642Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 49c1592b-4fda-4f53-b1e1-6f6b132d78f2 · outbound
This paper cites an unresolved cited work.
Probing dark matter through charged Higgs pair production at future multi-TeV muon colliders: A machine-learning analysis Unresolved cited work
Reference 55
- Resolution
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- no resolver link, observed 2026-08-10T17:47:53.218260Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5943a382-01ba-4ab8-bc86-8465f46d2230 · outbound
This paper cites anyH3: precise predictions for the trilinear Higgs coupling in the Standard Model and beyond.
Probing dark matter through charged Higgs pair production at future multi-TeV muon colliders: A machine-learning analysis anyH3: precise predictions for the trilinear Higgs coupling in the Standard Model and beyond
Reference 56
- Resolution
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- no resolver link, observed 2026-08-10T17:47:53.221694Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation af344ef1-aa45-43c7-ab63-ce7725731175 · outbound
This paper cites Aad et al.
Reference 57
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation db8942af-3962-4f70-b184-c0f57a294fc5 · outbound
This paper cites Hayrapetyan et al.
Probing dark matter through charged Higgs pair production at future multi-TeV muon colliders: A machine-learning analysis Hayrapetyan et al
Reference 58
- Resolution
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- raw_fallback, observed 2026-08-10T17:47:53.801269Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 9b5827a8-2b26-468a-b9ae-69de428c59fa · outbound
This paper cites Combination of searches for Higgs boson pair production in $pp$ collisions at $\sqrt{s}=13$ TeV with the ATLAS detector.
Probing dark matter through charged Higgs pair production at future multi-TeV muon colliders: A machine-learning analysis Combination of searches for Higgs boson pair production in $pp$ collisions at $\sqrt{s}=13$ TeV with the ATLAS detector
Reference 59
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fc8d777a-cfe6-4358-a603-f591ac5eb8a4 · outbound
This paper cites Aad et al.
Reference 60
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 49570f6a-78cc-4f6d-9d32-3c79f60e678b · outbound
This paper cites Relic density of dark matter in the inert doublet model beyond leading order for the low mass region: 1. Renormalisation and constraints.
Probing dark matter through charged Higgs pair production at future multi-TeV muon colliders: A machine-learning analysis Relic density of dark matter in the inert doublet model beyond leading order for the low mass region: 1. Renormalisation and constraints
Reference 61
- Resolution
- verified exact
- local_arxiv, observed 2026-08-10T17:47:53.649854Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 7b1dedc5-eb92-4610-a4e2-3d224a81d25f · outbound
This paper cites Belanger, F.
Reference 62
- Resolution
- verified exact
- raw_fallback, observed 2026-08-10T17:47:53.634998Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation f4b31975-5d01-4c74-9761-2192f9974c84 · outbound
This paper cites Belanger, F.
Reference 63
- Resolution
- verified exact
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 2e705b1c-a72d-48ab-b6cc-6fcf9320c45d · outbound
This paper cites Belanger, F.
Reference 64
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T17:47:53.248750Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 331d366f-ad77-4407-bd08-c6cbed09cc53 · outbound
This paper cites micrOMEGAs3.1 : a program for calculating dark matter observables.
Probing dark matter through charged Higgs pair production at future multi-TeV muon colliders: A machine-learning analysis micrOMEGAs3.1 : a program for calculating dark matter observables
Reference 65
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T17:47:53.252154Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 75010adb-f460-4253-bbb0-1e55adb992c2 · outbound
This paper cites micrOMEGAs5.0 : freeze-in.
Probing dark matter through charged Higgs pair production at future multi-TeV muon colliders: A machine-learning analysis micrOMEGAs5.0 : freeze-in
Reference 66
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T17:47:53.255590Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ab073974-90ba-49a6-bb28-9fed045ddc8d · outbound
This paper cites Banerjee, F.
Reference 67
- Resolution
- verified exact
- doi, observed 2026-08-10T17:47:53.329815Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 827fb54a-193b-4564-b126-7d8c914564ae · outbound
This paper cites First Dark Matter Search Results from the LUX-ZEPLIN (LZ) Experiment.
Probing dark matter through charged Higgs pair production at future multi-TeV muon colliders: A machine-learning analysis First Dark Matter Search Results from the LUX-ZEPLIN (LZ) Experiment
Reference 68
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T17:47:53.262502Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b6f2fea3-7eff-4ae8-9ed1-e2e72c3cd606 · outbound
This paper cites The automated computation of tree-level and next-to-leading order differential cross sections, and their matching to parton shower simulations.
Probing dark matter through charged Higgs pair production at future multi-TeV muon colliders: A machine-learning analysis The automated computation of tree-level and next-to-leading order differential cross sections, and their matching to parton shower simulations
Reference 69
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T17:47:53.266902Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d99077a8-c3e3-4c73-a4db-3ca19d242833 · outbound
This paper cites Navas et al.
Reference 70
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T17:47:53.270727Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation baac30c8-365c-4cff-be64-e7ebf24cf23b · outbound
This paper cites XGBoost: A Scalable Tree Boosting System.
Probing dark matter through charged Higgs pair production at future multi-TeV muon colliders: A machine-learning analysis XGBoost: A Scalable Tree Boosting System
Reference 71
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6eadcb1a-f840-49d5-a76e-0cf6c7d175d5 · outbound
This paper cites Shapley, RAND Corporation, Santa Monica, CA, U.S.A.
Probing dark matter through charged Higgs pair production at future multi-TeV muon colliders: A machine-learning analysis Shapley, RAND Corporation, Santa Monica, CA, U.S.A
Reference 72
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T17:47:54.891414Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 326221cd-4912-497e-ab26-f78cc35d31bb · outbound
This paper cites Resurrecting $b\bar{b}h$ with kinematic shapes.
Probing dark matter through charged Higgs pair production at future multi-TeV muon colliders: A machine-learning analysis Resurrecting $b\bar{b}h$ with kinematic shapes
Reference 73
- Resolution
- verified exact
- local_arxiv, observed 2026-08-10T17:47:53.463934Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 1fffcca3-aa1b-4a0f-9a52-38ce62059ae8 · outbound
This paper cites Machine learning the trilinear and light-quark Yukawa couplings from Higgs pair kinematic shapes.
Probing dark matter through charged Higgs pair production at future multi-TeV muon colliders: A machine-learning analysis Machine learning the trilinear and light-quark Yukawa couplings from Higgs pair kinematic shapes
Reference 74
- Resolution
- verified exact
- local_arxiv, observed 2026-08-10T17:47:53.448534Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 9d80da26-5cee-4f06-990f-5cc7792b0746 · outbound
This paper cites Interpretable machine learning in Physics.
Probing dark matter through charged Higgs pair production at future multi-TeV muon colliders: A machine-learning analysis Interpretable machine learning in Physics
Reference 75
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T17:47:53.289827Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ba327882-ec70-49b1-8316-f860d21d2c80 · outbound
This paper cites Classifying the CP properties of the ggH coupling in H+2j production.
Probing dark matter through charged Higgs pair production at future multi-TeV muon colliders: A machine-learning analysis Classifying the CP properties of the ggH coupling in H+2j production
Reference 76
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T17:47:53.293479Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 966eb20a-9b1e-4854-b164-ea18baac0ff5 · outbound
This paper cites Lundberg et al., Nature Machine Intel.
Probing dark matter through charged Higgs pair production at future multi-TeV muon colliders: A machine-learning analysis Lundberg et al., Nature Machine Intel
Reference 77
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T17:47:54.880342Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Pith citing papers
No inbound Pith citation observations are available.