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Paper Citation Record · LEDGER

Phenomenology of scalar particles assisted by machine learning

As of 7 August 2026, this Paper Citation Record lists 100 of 118 outbound references and 0 inbound Pith citation observations for arXiv:2507.15019.

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

pith.paper-citation-record.v1
2507.15019 v1

Coverage vector

measured 100 of 118 reference resolution

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Pith citing papers itemized under the disclosed page cap.

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Reference resolution

100 of 118 outbound references displayed

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Outbound references

Observation 35df04d4-cf14-4667-aa45-2636eafb4ca6 · outbound

This paper cites an unresolved cited work.

Phenomenology of scalar particles assisted by machine learning Unresolved cited work

Reference 1

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Observation c9fbd882-7d69-4192-9854-57a8f01b92ba · outbound

This paper cites Mitra, S.

Phenomenology of scalar particles assisted by machine learning Mitra, S

Reference 2

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Observation 9cb4d47c-d452-4514-8652-1c08fa8a4062 · outbound

This paper cites an unresolved cited work.

Phenomenology of scalar particles assisted by machine learning Unresolved cited work

Reference 3

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Observation 6e699d70-a3bf-42dc-aa6f-9306e3fba121 · outbound

This paper cites White,The sakharov conditions, inElectroweak Baryogenesis (Second Edition), 2053-2563, pp.

Phenomenology of scalar particles assisted by machine learning White,The sakharov conditions, inElectroweak Baryogenesis (Second Edition), 2053-2563, pp

Reference 4

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Observation 59068dbb-cfe0-4e0c-aa2c-43130aaffc2b · outbound

This paper cites Finkenberger,Search for a dark leptophilic scalar produced in association with taupair in electron-positron annihilation at center-of-mass energies near 10.58 gev.,.

Phenomenology of scalar particles assisted by machine learning Finkenberger,Search for a dark leptophilic scalar produced in association with taupair in electron-positron annihilation at center-of-mass energies near 10.58 gev.,

Reference 5

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Observation 42b793ab-9f5c-49ea-a38a-cb0cf41febb0 · outbound

This paper cites Schwichtenberg,Gauge coupling unification without supersymmetry, European Physical Journal C79 (Apr., 2019) 351.

Phenomenology of scalar particles assisted by machine learning Schwichtenberg,Gauge coupling unification without supersymmetry, European Physical Journal C79 (Apr., 2019) 351

Reference 6

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This paper cites an unresolved cited work.

Phenomenology of scalar particles assisted by machine learning Unresolved cited work

Reference 7

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Observation bbf64793-7b3d-4fde-9d3c-0de14e384271 · outbound

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Phenomenology of scalar particles assisted by machine learning Unresolved cited work

Reference 8

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Observation b1a0962a-7c32-4a5f-9704-1f905e0f3578 · outbound

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Phenomenology of scalar particles assisted by machine learning Unresolved cited work

Reference 9

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Observation d2264ca2-a053-4782-801f-1bc23a858699 · outbound

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Phenomenology of scalar particles assisted by machine learning Unresolved cited work

Reference 10

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Observation 74b18de9-e1c1-4dc2-9985-edd26bdb2621 · outbound

This paper cites an unresolved cited work.

Phenomenology of scalar particles assisted by machine learning Unresolved cited work

Reference 11

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Observation a25590b6-ae6d-46db-9a70-307a073da78c · outbound

This paper cites Pich,The standard model of electroweak interactions, 2012.

Phenomenology of scalar particles assisted by machine learning Pich,The standard model of electroweak interactions, 2012

Reference 12

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Observation 4e59773c-7939-446f-9e93-0fcc6b60de1e · outbound

This paper cites an unresolved cited work.

Phenomenology of scalar particles assisted by machine learning Unresolved cited work

Reference 13

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Observation c1d8d95e-4411-4168-973c-2d468a1d9e04 · outbound

This paper cites Chau and W.-Y.

Phenomenology of scalar particles assisted by machine learning Chau and W.-Y

Reference 14

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Observation 48560009-e538-42cd-a8ae-751dd5848c4d · outbound

This paper cites Wolfenstein,Parametrization of the kobayashi-maskawa matrix, Phys.

Phenomenology of scalar particles assisted by machine learning Wolfenstein,Parametrization of the kobayashi-maskawa matrix, Phys

Reference 15

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Observation c63f6238-cd6e-43e0-b48c-d91c62b8a862 · outbound

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Phenomenology of scalar particles assisted by machine learning Unresolved cited work

Reference 16

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Observation cd75499e-cdd5-48ec-b1dc-0a1810451c4f · outbound

This paper cites Ma,Verifiable radiative seesaw mechanism of neutrino mass and dark matter, Phys.

Phenomenology of scalar particles assisted by machine learning Ma,Verifiable radiative seesaw mechanism of neutrino mass and dark matter, Phys

Reference 17

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Observation 4c951b3d-7618-4a23-a281-9c1a87d36d4b · outbound

This paper cites an unresolved cited work.

Phenomenology of scalar particles assisted by machine learning Unresolved cited work

Reference 18

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Observation 0a8ac4e9-e5fd-4243-af68-11c72c512227 · outbound

This paper cites Theory and phenomenology of two-Higgs-doublet models.

Phenomenology of scalar particles assisted by machine learning Theory and phenomenology of two-Higgs-doublet models

Reference 19

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Observation 93141533-74c4-4365-960b-01c551eb7a05 · outbound

This paper cites Branco, L.

Phenomenology of scalar particles assisted by machine learning Branco, L

Reference 20

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Observation d26f7876-03c1-4e9a-ab96-34555bcc6921 · outbound

This paper cites Off-diagonal terms in Yukawa textures of the Type-III 2-Higgs doublet model and light charged Higgs boson phenomenology.

Phenomenology of scalar particles assisted by machine learning Off-diagonal terms in Yukawa textures of the Type-III 2-Higgs doublet model and light charged Higgs boson phenomenology

Reference 21

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Observation 9b491516-fe42-4d0a-ba1a-dfa5ffb9611d · outbound

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Phenomenology of scalar particles assisted by machine learning Unresolved cited work

Reference 22

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Observation 70bd14e6-e2bd-4f82-919d-a68612e40fa2 · outbound

This paper cites Carrillo-Monteverde, R.

Phenomenology of scalar particles assisted by machine learning Carrillo-Monteverde, R

Reference 23

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Observation 1d39db8c-e802-42ce-9c89-57be04aee681 · outbound

This paper cites Collaboration,Search for a light charged higgs boson int→h±b decays, with h±→cb, in the lepton+jets final state in proton-proton collisions at √s = 13 tev with the atlas detector,.

Phenomenology of scalar particles assisted by machine learning Collaboration,Search for a light charged higgs boson int→h±b decays, with h±→cb, in the lepton+jets final state in proton-proton collisions at √s = 13 tev with the atlas detector,

Reference 24

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Observation e23caa62-1059-48e4-8532-2f9c4854a330 · outbound

This paper cites an unresolved cited work.

Phenomenology of scalar particles assisted by machine learning Unresolved cited work

Reference 25

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Observation c373e588-568b-4404-a663-040d491d1e13 · outbound

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Phenomenology of scalar particles assisted by machine learning Unresolved cited work

Reference 26

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Observation 67c21440-aa71-42ef-aedc-d61a3f55d97b · outbound

This paper cites Das,Flavonstrahlung in the b3 - l2 z’ model at current and future colliders, Journal of High Energy Physics2023 (Mar., 2023).

Phenomenology of scalar particles assisted by machine learning Das,Flavonstrahlung in the b3 - l2 z’ model at current and future colliders, Journal of High Energy Physics2023 (Mar., 2023)

Reference 27

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Observation ea9ebad1-bc8d-45ba-bdfe-2d3dc8596dff · outbound

This paper cites Li and C.-X.

Phenomenology of scalar particles assisted by machine learning Li and C.-X

Reference 28

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Observation d08b6ae1-cc32-4ae6-8ec8-98e32e24d324 · outbound

This paper cites Datta,Theoretical perspective on flavour physics,.

Phenomenology of scalar particles assisted by machine learning Datta,Theoretical perspective on flavour physics,

Reference 29

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Observation 7e5ec134-1bc4-4e80-a248-a804197f8b5a · 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.

Phenomenology of scalar particles assisted by machine learning Observation of a new particle in the search for the Standard Model Higgs boson with the ATLAS detector at the LHC

Reference 30

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Observation 4045293f-8dfb-4629-9af6-c6b1c02a0478 · outbound

This paper cites Tonelli, CERN/INFN, U.

Phenomenology of scalar particles assisted by machine learning Tonelli, CERN/INFN, U

Reference 31

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This paper cites Weinberg,The Quantum Theory of Fields, vol.

Phenomenology of scalar particles assisted by machine learning Weinberg,The Quantum Theory of Fields, vol

Reference 32

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Observation b50835b4-13c6-4b1d-9d19-a637ceaa673f · outbound

This paper cites Charged Higgs boson production via $cb-$fusion at the Large Hadron Collider.

Phenomenology of scalar particles assisted by machine learning Charged Higgs boson production via $cb-$fusion at the Large Hadron Collider

Reference 33

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Observation d873c9e4-48e8-44ec-becc-f3ca1edbf219 · outbound

This paper cites Flavor-changing decay $h\to \tau\mu$ at super hadron colliders.

Phenomenology of scalar particles assisted by machine learning Flavor-changing decay $h\to \tau\mu$ at super hadron colliders

Reference 34

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

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Observation 54ce9fc5-3898-4acd-a233-51393ad1edc8 · outbound

This paper cites Search for the $t\to ch$ decay at hadron colliders.

Phenomenology of scalar particles assisted by machine learning Search for the $t\to ch$ decay at hadron colliders

Reference 35

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Observation 9659c417-5405-4be3-9ab2-5ebec19a203b · outbound

This paper cites Flavor Violating Higgs signals in the Texturized Two-Higgs Doublet Model (2HDM-Tx).

Phenomenology of scalar particles assisted by machine learning Flavor Violating Higgs signals in the Texturized Two-Higgs Doublet Model (2HDM-Tx)

Reference 36

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Observation f1fce8c9-2d07-4ae8-a9b1-56c29294e9df · outbound

This paper cites The CP-conserving two-Higgs-doublet model: the approach to the decoupling limit.

Phenomenology of scalar particles assisted by machine learning The CP-conserving two-Higgs-doublet model: the approach to the decoupling limit

Reference 37

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Observation 32cea237-c7e0-470f-902f-01b16b90f6d2 · outbound

This paper cites Weinberg,Gauge theory ofCP nonconservation, Phys.

Phenomenology of scalar particles assisted by machine learning Weinberg,Gauge theory ofCP nonconservation, Phys

Reference 38

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Observation d7951652-ceca-41f8-a8ea-370c947f480e · outbound

This paper cites an unresolved cited work.

Phenomenology of scalar particles assisted by machine learning Unresolved cited work

Reference 39

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Observation 4095376d-b19f-4b37-9f92-91a1ac567eae · outbound

This paper cites Search for lepton flavour violating decays of the Higgs boson to $\mu\tau$ and e$\tau$ in proton-proton collisions at $\sqrt{s}=$ 13 TeV.

Phenomenology of scalar particles assisted by machine learning Search for lepton flavour violating decays of the Higgs boson to $\mu\tau$ and e$\tau$ in proton-proton collisions at $\sqrt{s}=$ 13 TeV

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source=pdf_text observed=2026-08-06T15:50:29.571117Z digest=sha256:d4d1c0bf6c58d6858c49556c155e8c7498e7ccf7ccd5e70a8b7e666fd4f271f6

Observation 63f99fca-0a54-47d0-b923-b4cdf8ec8b8b · outbound

This paper cites Searches for lepton-flavour-violating decays of the Higgs boson in $\sqrt{s}=13$ TeV $pp$ collisions with the ATLAS detector.

Phenomenology of scalar particles assisted by machine learning Searches for lepton-flavour-violating decays of the Higgs boson in $\sqrt{s}=13$ TeV $pp$ collisions with the ATLAS detector

Reference 41

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source=pdf_text observed=2026-08-06T15:50:29.574006Z digest=sha256:bae1ce34f9985de530d068c3a9926da9fb420ad90bf3b1250335701ad4687a5e

Observation c6580a6b-126f-4cbb-8e4d-21585692ec27 · outbound

This paper cites Measurement of the B$^0_\mathrm{S}$ $\to$ $\mu^+\mu^-$ decay properties and search for the B$^0$ $\to$ $\mu^+\mu^-$ decay in proton-proton collisions at $\sqrt{s}$ = 13 TeV.

Phenomenology of scalar particles assisted by machine learning Measurement of the B$^0_\mathrm{S}$ $\to$ $\mu^+\mu^-$ decay properties and search for the B$^0$ $\to$ $\mu^+\mu^-$ decay in proton-proton collisions at $\sqrt{s}$ = 13 TeV

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source=pdf_text observed=2026-08-06T15:50:29.576886Z digest=sha256:018d9ab82522f699ad1bef4e209b203094014694692d9d3ea7ea6f20176258a1

Observation c6e24a69-31bc-4eb2-9205-c6e65f6fa4e7 · outbound

This paper cites an unresolved cited work.

Phenomenology of scalar particles assisted by machine learning Unresolved cited work

Reference 43

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source=pdf_text observed=2026-08-06T15:50:29.579582Z digest=sha256:1c810bbf771e3df35e5b46aedc3e675daf6bfd4876482e9dcc2f90c4c193b200

Observation 3721722b-a799-43d0-b7cf-ee6b8db5b4ae · outbound

This paper cites Abi et al.,Measurement of the positive muon anomalous magnetic moment to 0.46 ppm, Phys.

Phenomenology of scalar particles assisted by machine learning Abi et al.,Measurement of the positive muon anomalous magnetic moment to 0.46 ppm, Phys

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source=pdf_text observed=2026-08-06T15:50:29.582354Z digest=sha256:d56b13149d426d759ccfb8200e3558037ba0cff76d814a84263c8bf4791e1867

Observation d639b88b-c695-4fc9-be8b-d2882bb0b32c · outbound

This paper cites Search for Higgs boson pair production in the two bottom quarks plus two photons final state in $pp$ collisions at $\sqrt{s}=13$ TeV with the ATLAS detector.

Phenomenology of scalar particles assisted by machine learning Search for Higgs boson pair production in the two bottom quarks plus two photons final state in $pp$ collisions at $\sqrt{s}=13$ TeV with the ATLAS detector

Reference 45

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source=pdf_text observed=2026-08-06T15:50:29.584678Z digest=sha256:4164ec2dbacc6a5adc58896f52da00de31f7427094ac13ca31887fb32b138338

Observation cd5b9c72-6bb1-43aa-bc2a-ed66b906006b · outbound

This paper cites Collaboration,Cern rpt.

Phenomenology of scalar particles assisted by machine learning Collaboration,Cern rpt

Reference 46

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no resolver link, observed 2026-08-06T15:50:29.587621Z

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source=pdf_text observed=2026-08-06T15:50:29.587621Z digest=sha256:a9efe72316320a19be39105f95fa5cde4327d405e464e7b5e0a8e4a73242c39c

Observation a124c43c-44c0-4d8b-83e6-915eee28c13e · outbound

This paper cites Search for additional neutral MSSM Higgs bosons in the $\tau\tau$ final state in proton-proton collisions at $\sqrt{s}=$ 13 TeV.

Phenomenology of scalar particles assisted by machine learning Search for additional neutral MSSM Higgs bosons in the $\tau\tau$ final state in proton-proton collisions at $\sqrt{s}=$ 13 TeV

Reference 47

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source=pdf_text observed=2026-08-06T15:50:29.590541Z digest=sha256:66a3b6e96d67f8bf5f1aa135da1bb7454218158b264ecbe9ba093aa80c6cf334

Observation 7d3bc655-e39c-428a-a0d1-ed0c3262f11b · outbound

This paper cites Search for charged Higgs bosons decaying via $H^{\pm} \to \tau^{\pm}\nu_{\tau}$ in the $\tau$+jets and $\tau$+lepton final states with 36 fb$^{-1}$ of $pp$ collision data recorded at $\sqrt{s} = 13$ TeV with the ATLAS experiment.

Phenomenology of scalar particles assisted by machine learning Search for charged Higgs bosons decaying via $H^{\pm} \to \tau^{\pm}\nu_{\tau}$ in the $\tau$+jets and $\tau$+lepton final states with 36 fb$^{-1}$ of $pp$ collision data recorded at $\sqrt{s} = 13$ TeV with the ATLAS experiment

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source=pdf_text observed=2026-08-06T15:50:29.593063Z digest=sha256:fc6245a6f8074e64b685e0e662620f8222d540e770fd7f6e61e48e4fe666c148

Observation 20ebec73-8e5e-4d94-ad70-cc5b07056415 · outbound

This paper cites Search for a light charged Higgs boson in $t \rightarrow H^{\pm}b$ decays, with $H^{\pm} \rightarrow cb$, in the lepton+jets final state in proton-proton collisions at $\sqrt{s}=13$ TeV with the ATLAS detector.

Phenomenology of scalar particles assisted by machine learning Search for a light charged Higgs boson in $t \rightarrow H^{\pm}b$ decays, with $H^{\pm} \rightarrow cb$, in the lepton+jets final state in proton-proton collisions at $\sqrt{s}=13$ TeV with the ATLAS detector

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source=pdf_text observed=2026-08-06T15:50:29.595799Z digest=sha256:be6d570fdcf59056e0f8cd80a4d0a76807c7cd4eea3a2690e7ed62290dadf7aa

Observation 8a20a4d1-e9d9-4934-8e16-fe90bd4d3b3d · outbound

This paper cites Next-to-Leading QCD Corrections to B -> X_s gamma: Standard Model and Two-Higgs Doublet Model.

Phenomenology of scalar particles assisted by machine learning Next-to-Leading QCD Corrections to B -> X_s gamma: Standard Model and Two-Higgs Doublet Model

Reference 50

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source=pdf_text observed=2026-08-06T15:50:29.599130Z digest=sha256:65e73dffa887ffcf450eaa31449b69738bfdaac9ec2370287f4b71b5199d144e

Observation e941fa56-7563-4d0d-bfa7-ecdfe221bee1 · outbound

This paper cites Weak Radiative Decays of the B Meson and Bounds on $M_{H^\pm}$ in the Two-Higgs-Doublet Model.

Phenomenology of scalar particles assisted by machine learning Weak Radiative Decays of the B Meson and Bounds on $M_{H^\pm}$ in the Two-Higgs-Doublet Model

Reference 51

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source=pdf_text observed=2026-08-06T15:50:29.602056Z digest=sha256:808ddd51d16174cc4614b71968494e22174664e4e57bcd1abb4cd7a75444a40c

Observation 91c51739-0fbf-45c2-902e-c68c1feb85b8 · outbound

This paper cites an unresolved cited work.

Phenomenology of scalar particles assisted by machine learning Unresolved cited work

Reference 52

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source=pdf_text observed=2026-08-06T15:50:29.604957Z digest=sha256:913d0f873352691868608de333fb7083f1af4a7e937263eff71e8d73332eeca0

Observation b9c97d0a-9de6-47b4-a8dc-b31102a43f75 · outbound

This paper cites an unresolved cited work.

Phenomenology of scalar particles assisted by machine learning Unresolved cited work

Reference 53

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source=pdf_text observed=2026-08-06T15:50:29.607904Z digest=sha256:e70f65265736d061430b16f4e53cb48f1d4daf4d7ec74b6c3d8b5ee2d2f0df43

Observation 0aee1bcb-3ace-4ecc-bc6f-75708cc4851a · outbound

This paper cites rep., CERN, Geneva, 2021.

Phenomenology of scalar particles assisted by machine learning rep., CERN, Geneva, 2021

Reference 54

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source=pdf_text observed=2026-08-06T15:50:29.611164Z digest=sha256:493c24ff14c8949d8163b8a7c0284ad99525e3920f53d43322d972981a3a7f4d

Observation dbfd7c9c-0e99-4e5b-a182-4dcdd2268eb7 · outbound

This paper cites rep., CERN, Geneva, 2020.

Phenomenology of scalar particles assisted by machine learning rep., CERN, Geneva, 2020

Reference 55

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source=pdf_text observed=2026-08-06T15:50:29.614156Z digest=sha256:e6432acd188f70c24bd7d5448122fe4fae3582ee2db38ca9ece7d3b342793ac2

Observation bed7e0e7-9a5a-4ea4-9186-d7b5d3b9bd5a · outbound

This paper cites Power-enhanced leading-logarithmic QED corrections to $B_q \to \mu^+\mu^-$.

Phenomenology of scalar particles assisted by machine learning Power-enhanced leading-logarithmic QED corrections to $B_q \to \mu^+\mu^-$

Reference 56

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source=pdf_text observed=2026-08-06T15:50:29.617129Z digest=sha256:8e0677aa3ba14a0fd2211ed1b404449fc577d4b3e280e363f7df009a167e6b49

Observation a012ff39-bced-48e9-9ef2-975fd03e45ef · outbound

This paper cites Tumasyan, W.

Phenomenology of scalar particles assisted by machine learning Tumasyan, W

Reference 57

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source=pdf_text observed=2026-08-06T15:50:29.620966Z digest=sha256:848a295d36feb6a8755c7551603f43550e76036420bf9073266d87049ec8f223

Observation a22bac31-f024-4ff4-b6f1-92c6289bf23d · outbound

This paper cites Bauer, T.

Phenomenology of scalar particles assisted by machine learning Bauer, T

Reference 58

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raw_fallback, observed 2026-08-06T15:50:30.538666Z

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

source=pdf_text observed=2026-08-06T15:50:29.624041Z digest=sha256:8ff95eb22cf7050d2dba4546e8b312d781083782679c92c46911e33dfd6b3ea1

Observation bef207ea-7b75-4e86-93b5-c8d467fe449d · outbound

This paper cites On the Standard Model prediction for BR(B{s,d} to mu+ mu-).

Phenomenology of scalar particles assisted by machine learning On the Standard Model prediction for BR(B{s,d} to mu+ mu-)

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source=pdf_text observed=2026-08-06T15:50:29.627133Z digest=sha256:257c4ae1dd40a327ef67738def1751201fa1802a42490b2cc47380e97f382457

Observation 73de589f-f70e-48fe-9328-314847c97fc4 · outbound

This paper cites Inami and C.

Phenomenology of scalar particles assisted by machine learning Inami and C

Reference 60

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

source=pdf_text observed=2026-08-06T15:50:29.630031Z digest=sha256:ba72df06d83acd08f90fa84398f60d2e7b429f3711aaa0bed778f9cb0b46af29

Observation 15465f8c-9c45-49b7-903f-dbdcae62631d · outbound

This paper cites Ilisie,New Barr-Zee contributions to(g−2)µ in Two-Higgs-Doublet Models, Journal of High Energy Physics2015 (2015) 77.

Phenomenology of scalar particles assisted by machine learning Ilisie,New Barr-Zee contributions to(g−2)µ in Two-Higgs-Doublet Models, Journal of High Energy Physics2015 (2015) 77

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

source=pdf_text observed=2026-08-06T15:50:29.632619Z digest=sha256:cfa3d44aed23e908d0b5506415e8ea8409c7c56902b12a8d4d637d6280f9749b

Observation 6fbf76e1-89e7-43b0-9aa1-85d1f9826df9 · outbound

This paper cites Flavor Violating Higgs Decays.

Phenomenology of scalar particles assisted by machine learning Flavor Violating Higgs Decays

Reference 62

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source=pdf_text observed=2026-08-06T15:50:29.635585Z digest=sha256:e42792e9c871e7b9c13d456989a393ceb9aabb1471c3573d78d5199280347c1b

Observation 7a18d201-e0e0-4fef-ab5d-9aa333e62c4a · outbound

This paper cites Flavour-Changing Decays of a 125 GeV Higgs-like Particle.

Phenomenology of scalar particles assisted by machine learning Flavour-Changing Decays of a 125 GeV Higgs-like Particle

Reference 63

Resolution
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source=pdf_text observed=2026-08-06T15:50:29.638651Z digest=sha256:5f2da96607b03670e9d179ab8f70853bab25026c4150a9d0b8a14a101d3eeeb3

Observation c3c8553a-2815-471d-a1c5-7c3d65c1c770 · outbound

This paper cites $\texttt{SpaceMath v.2.0}$ with Machine Learning. A $\texttt{Mathematica}$ package for Beyond the Standard Model parameter space searches.

Phenomenology of scalar particles assisted by machine learning $\texttt{SpaceMath v.2.0}$ with Machine Learning. A $\texttt{Mathematica}$ package for Beyond the Standard Model parameter space searches

Reference 64

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local_arxiv, observed 2026-08-06T15:50:30.082436Z

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.

source=pdf_text observed=2026-08-06T15:50:29.641760Z digest=sha256:fb5aadcfcba6e34af207022477023bd013bcea5eeca9e63f0d14fd425ae52d45

Observation 39e7caa5-82dc-4f97-a647-5b8a4a59b75b · outbound

This paper cites Search for heavy resonances decaying into a pair of $Z$ bosons in the $\ell^+\ell^-\ell'^+\ell'^-$ and $\ell^+\ell^-\nu\bar\nu$ final states using 139 fb$^{-1}$ of proton-proton collisions at $\sqrt{s} = 13$ TeV with the ATLAS detector.

Phenomenology of scalar particles assisted by machine learning Search for heavy resonances decaying into a pair of $Z$ bosons in the $\ell^+\ell^-\ell'^+\ell'^-$ and $\ell^+\ell^-\nu\bar\nu$ final states using 139 fb$^{-1}$ of proton-proton collisions at $\sqrt{s} = 13$ TeV with the ATLAS detector

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source=pdf_text observed=2026-08-06T15:50:29.644942Z digest=sha256:97ed3efa5a489348edaad5dbd3bb5a92da08edc4d541af2874995d63ffa908e1

Observation 7430aadd-d1d5-46d1-976c-f46c8b877ad8 · outbound

This paper cites Search for a heavy Higgs boson decaying to a pair of W bosons in proton-proton collisions at $\sqrt{s} =$ 13 TeV.

Phenomenology of scalar particles assisted by machine learning Search for a heavy Higgs boson decaying to a pair of W bosons in proton-proton collisions at $\sqrt{s} =$ 13 TeV

Reference 66

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verified exact
local_arxiv, observed 2026-08-06T15:50:30.066155Z

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

source=pdf_text observed=2026-08-06T15:50:29.647629Z digest=sha256:c8cfb3a49e4ff7c2e8b1158402debf2f657e15b2cd398196b67a1b636dbed06a

Observation b6b4b54b-2d25-459f-97dc-3c78092355a2 · outbound

This paper cites Aad et al.,Search fort¯tH/A→t¯tt¯t production in proton-proton collisions at√s = 13 TeV with the ATLAS detector, 2408.17164.

Phenomenology of scalar particles assisted by machine learning Aad et al.,Search fort¯tH/A→t¯tt¯t production in proton-proton collisions at√s = 13 TeV with the ATLAS detector, 2408.17164

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verified exact
raw_fallback, observed 2026-08-06T15:50:30.055910Z

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.

source=pdf_text observed=2026-08-06T15:50:29.651516Z digest=sha256:69e7c33f808dbf798946c1e17c5640f16bc52f279bb78032df31eee0502bd471

Observation f7910766-e6d3-4435-beb1-e3b2f44e8635 · outbound

This paper cites Crivellin, C.

Phenomenology of scalar particles assisted by machine learning Crivellin, C

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:50:30.514950Z

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

source=pdf_text observed=2026-08-06T15:50:29.654160Z digest=sha256:48f072f3283735f790eb49d9373e356893055b42efcca87343dd5c62bc1581cb

Observation 9764362f-5dca-4d46-af75-03b61e3e175b · outbound

This paper cites an unresolved cited work.

Phenomenology of scalar particles assisted by machine learning Unresolved cited work

Reference 69

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unresolved
raw_fallback, observed 2026-08-06T15:50:30.508494Z

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

source=pdf_text observed=2026-08-06T15:50:29.657324Z digest=sha256:d03518d0e1a6fc0e90d5472bdd23e5b5a4488641d04d04501a54ae4da5c702c2

Observation 7b80c2db-58be-4977-95ed-b6bebfd6ccff · outbound

This paper cites Navas et al.,Review of particle physics, Phys.

Phenomenology of scalar particles assisted by machine learning Navas et al.,Review of particle physics, Phys

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Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:50:30.501687Z

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.

source=pdf_text observed=2026-08-06T15:50:29.660554Z digest=sha256:e236083a64280e0ae4f6c44f94f1655b70124336815b6a9225657c2ee8e99958

Observation a9d71ff3-ce94-40ac-8ba2-40a073f6a130 · outbound

This paper cites Grimus, L.

Phenomenology of scalar particles assisted by machine learning Grimus, L

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Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:50:30.494056Z

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.

source=pdf_text observed=2026-08-06T15:50:29.662918Z digest=sha256:e2f44d673f5e6667fef6b1fd6ef5b384c654e5bd9bd1c3f72b2936f6fbd5f6e4

Observation 477674f1-1214-4067-8743-51f51da8412f · outbound

This paper cites Search for nonresonant pair production of Higgs bosons in the $b\bar{b}b\bar{b}$ final state in $pp$ collisions at $\sqrt{s}= 13$ TeV with the ATLAS detector.

Phenomenology of scalar particles assisted by machine learning Search for nonresonant pair production of Higgs bosons in the $b\bar{b}b\bar{b}$ final state in $pp$ collisions at $\sqrt{s}= 13$ TeV with the ATLAS detector

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Resolution
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no resolver link, observed 2026-08-06T15:50:29.665279Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:50:29.665279Z digest=sha256:e2611da1328b1053817425b0377c83d37482c2a83d6df1b671f370afff9a6587

Observation 7dae1451-37cc-4d06-b6f2-3a7ff9510e8c · outbound

This paper cites Search for pair production of boosted Higgs bosons via vector-boson fusion in the $b\bar{b}b\bar{b}$ final state using $pp$ collisions at $\sqrt{s} = 13$ TeV with the ATLAS detector.

Phenomenology of scalar particles assisted by machine learning Search for pair production of boosted Higgs bosons via vector-boson fusion in the $b\bar{b}b\bar{b}$ final state using $pp$ collisions at $\sqrt{s} = 13$ TeV with the ATLAS detector

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Resolution
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source=pdf_text observed=2026-08-06T15:50:29.668362Z digest=sha256:ae5b8c332a7f23586e14503bbf7199cc3052314396aeb25b6088c9a9c16da1e3

Observation 73dde736-1abb-41f8-92c1-645946ccab3f · outbound

This paper cites Studies of new Higgs boson interactions through nonresonant $HH$ production in the $b\bar{b}\gamma\gamma$ final state in $pp$ collisions at $\sqrt{s}=13$ TeV with the ATLAS detector.

Phenomenology of scalar particles assisted by machine learning Studies of new Higgs boson interactions through nonresonant $HH$ production in the $b\bar{b}\gamma\gamma$ final state in $pp$ collisions at $\sqrt{s}=13$ TeV with the ATLAS detector

Reference 74

Resolution
unresolved
no resolver link, observed 2026-08-06T15:50:29.671291Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:50:29.671291Z digest=sha256:5afb4b3eb4bac4afe3dab30501583ec432f89f409db9e86e40a09f0e1178f843

Observation 71fc944f-5d88-4b19-8957-769bfc7aaeb1 · outbound

This paper cites Search for the non-resonant production of Higgs boson pairs via gluon fusion and vector-boson fusion in the $b\bar{b}\tau^+\tau^-$ final state in proton-proton collisions at $\sqrt{s} = 13$ TeV with the ATLAS detector.

Phenomenology of scalar particles assisted by machine learning Search for the non-resonant production of Higgs boson pairs via gluon fusion and vector-boson fusion in the $b\bar{b}\tau^+\tau^-$ final state in proton-proton collisions at $\sqrt{s} = 13$ TeV with the ATLAS detector

Reference 75

Resolution
unresolved
no resolver link, observed 2026-08-06T15:50:29.674153Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:50:29.674153Z digest=sha256:a42f959a103bceca8988d1cbc39aa833ebedff4b67b9233264d8704fa199d2d5

Observation 9740c477-0dbd-438f-95a3-4c7b65d2b43d · outbound

This paper cites Search for non-resonant Higgs boson pair production in the $2b + 2\ell + E_\mathrm{T}^\mathrm{miss}$ final state in $pp$ collisions $\sqrt{s} = 13\,\mathrm{TeV}$ with the ATLAS detector.

Phenomenology of scalar particles assisted by machine learning Search for non-resonant Higgs boson pair production in the $2b + 2\ell + E_\mathrm{T}^\mathrm{miss}$ final state in $pp$ collisions $\sqrt{s} = 13\,\mathrm{TeV}$ with the ATLAS detector

Reference 76

Resolution
unresolved
no resolver link, observed 2026-08-06T15:50:29.677157Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:50:29.677157Z digest=sha256:0c9c8c48f788e1430ab3c5fb99a794e8346e7e76a50ef7abc92c6058dd598489

Observation 6ab11b23-dc40-4725-8d1d-d7f9fc7346e8 · outbound

This paper cites A study of electroweak vacuum metastability with a singlet scalar dark matter.

Phenomenology of scalar particles assisted by machine learning A study of electroweak vacuum metastability with a singlet scalar dark matter

Reference 77

Resolution
verified exact
local_arxiv, observed 2026-08-06T15:50:29.952262Z

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.

source=pdf_text observed=2026-08-06T15:50:29.680088Z digest=sha256:6f1051eec398d610d08e8a22134bc4a1598c30b93ce71a4846e45544cde250da

Observation 30a7c70f-b839-4f4e-b9b4-5a73f04ec6cd · outbound

This paper cites Flavon Signatures at the HL-LHC.

Phenomenology of scalar particles assisted by machine learning Flavon Signatures at the HL-LHC

Reference 78

Resolution
verified exact
local_arxiv, observed 2026-08-06T15:50:29.941498Z

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.

source=pdf_text observed=2026-08-06T15:50:29.683178Z digest=sha256:2cfdcd37520fe504238021fc6e0608398fe2b4ed1ae627edf0ac9c1e8de74794

Observation f5f8e78a-26fc-451f-8e9e-cd65983257eb · outbound

This paper cites Note on Unitarity Constraints in a Model for a Singlet Scalar Dark Matter Candidate.

Phenomenology of scalar particles assisted by machine learning Note on Unitarity Constraints in a Model for a Singlet Scalar Dark Matter Candidate

Reference 79

Resolution
verified exact
local_arxiv, observed 2026-08-06T15:50:29.932312Z

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.

source=pdf_text observed=2026-08-06T15:50:29.686326Z digest=sha256:9d3ef9e5630a309f5a52c30a6c36101476cd30c3ace01f9aa2862f07f6b2c3ae

Observation be3ab780-7457-4092-955a-fa0173333e3a · outbound

This paper cites Hastie, R.

Phenomenology of scalar particles assisted by machine learning Hastie, R

Reference 80

Resolution
unresolved
no resolver link, observed 2026-08-06T15:50:29.689013Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:50:29.689013Z digest=sha256:2f402b515c414d27c2f09ab24026765094e79e9fbf3a036fe876f03670c77181

Observation 74c5478c-b8a7-434e-ab8a-c0b0ce4ef713 · outbound

This paper cites Alwall, M.

Phenomenology of scalar particles assisted by machine learning Alwall, M

Reference 82

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:50:30.486181Z

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.

source=pdf_text observed=2026-08-06T15:50:29.694575Z digest=sha256:5861bb2357c4737923dfbbf83692e97f5d24ea6f5ba9317f2847680dd4253ae7

Observation 69f8556d-7d5e-4736-95c7-44169e98a5fd · outbound

This paper cites Kasieczka, B.

Phenomenology of scalar particles assisted by machine learning Kasieczka, B

Reference 83

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:50:30.479633Z

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.

source=pdf_text observed=2026-08-06T15:50:29.697518Z digest=sha256:e5eddaa0a1aebff663dcc7f0858f41bc96c11bf271c71a62b7749fb5360416c3

Observation ff3a6619-3015-409b-be09-66c95522f9ae · outbound

This paper cites Lhco manual.

Phenomenology of scalar particles assisted by machine learning Lhco manual

Reference 84

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:50:30.472918Z

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.

source=pdf_text observed=2026-08-06T15:50:29.700715Z digest=sha256:bcd4530abb328ee511905edfa24ff42cae637b5c8a5d8c623869b90f885500a3

Observation 3488e59f-c8f1-47d5-9f67-7d5698c94625 · outbound

This paper cites Fowlie,Lhco_reader: A new code for reading and analyzing detector-level events stored in lhco format, arXiv: High Energy Physics - Phenomenology (2015).

Phenomenology of scalar particles assisted by machine learning Fowlie,Lhco_reader: A new code for reading and analyzing detector-level events stored in lhco format, arXiv: High Energy Physics - Phenomenology (2015)

Reference 85

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:50:30.466256Z

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.

source=pdf_text observed=2026-08-06T15:50:29.703635Z digest=sha256:9a17cb5201e4fe44514eff71983d4353eb53b43abaab38cd4a9501b763e484e0

Observation 7d31db8a-7944-4177-85ba-37b0b7826dfd · outbound

This paper cites Python Language Reference, version 3.

Phenomenology of scalar particles assisted by machine learning Python Language Reference, version 3

Reference 86

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:50:30.459394Z

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.

source=pdf_text observed=2026-08-06T15:50:29.706128Z digest=sha256:2037f98eb1fe9105c5ea9fec4d56b2bb1a4e1ac7e813c22718dbb771a57a4ce3

Observation 80ed6205-656b-4690-a34a-03013171b0a0 · outbound

This paper cites Prakritimlprep.

Phenomenology of scalar particles assisted by machine learning Prakritimlprep

Reference 87

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:50:30.452178Z

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.

source=pdf_text observed=2026-08-06T15:50:29.710202Z digest=sha256:e698be6e3b0a926ced78f1b857fdd7c0201ad43c0064c1554e732a6d800e28c2

Observation d2f85eb3-5785-40ac-9006-af2f6db08c5e · outbound

This paper cites an unresolved cited work.

Phenomenology of scalar particles assisted by machine learning Unresolved cited work

Reference 88

Resolution
unresolved
raw_fallback, observed 2026-08-06T15:50:30.443620Z

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.

source=pdf_text observed=2026-08-06T15:50:29.713260Z digest=sha256:1f0b2cc39b873e9712f8a6c919caddb6e020dcfc2fb26f8fa771c55bc089470b

Observation 52e27b24-d1c1-40d0-8627-10adc3599e27 · outbound

This paper cites an unresolved cited work.

Phenomenology of scalar particles assisted by machine learning Unresolved cited work

Reference 89

Resolution
unresolved
no resolver link, observed 2026-08-06T15:50:29.716041Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:50:29.716041Z digest=sha256:123f25744535d69b98e6122fd6a2e5cbba3bb1572ba1c33113d18b1e828c86b8

Observation ce4560c5-afb3-4b1c-879b-a526b11ed9db · outbound

This paper cites Chen and C.

Phenomenology of scalar particles assisted by machine learning Chen and C

Reference 90

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:50:30.437108Z

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.

source=pdf_text observed=2026-08-06T15:50:29.719965Z digest=sha256:0d15b5b531f0639f6ddb5f07ee1f3a307b55cc471ce8bd9b0e6b4a4e9cc28dd2

Observation 8c0a1f85-baf6-448b-9173-1162cf30160b · outbound

This paper cites an unresolved cited work.

Phenomenology of scalar particles assisted by machine learning Unresolved cited work

Reference 91

Resolution
unresolved
raw_fallback, observed 2026-08-06T15:50:30.430878Z

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.

source=pdf_text observed=2026-08-06T15:50:29.722842Z digest=sha256:cd9a97a0ab38a8cdf5fb708dbb840c7903d60df34740a780f6dcefbf9c32d765

Observation 22188083-de12-4b7b-89a7-7ab4c13c7328 · outbound

This paper cites Fawcett,An introduction to roc analysis, Pattern Recognition Letters27 (2006) 861–874.

Phenomenology of scalar particles assisted by machine learning Fawcett,An introduction to roc analysis, Pattern Recognition Letters27 (2006) 861–874

Reference 92

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:50:30.424218Z

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.

source=pdf_text observed=2026-08-06T15:50:29.725260Z digest=sha256:18ebcc4a5364186143d4bcca9e3adb1e3232bdd4e1dee4d65e1ab2c43bb134f2

Observation 2a2f3ad9-362a-46a2-aeb2-d3e36a3ec61c · outbound

This paper cites an unresolved cited work.

Phenomenology of scalar particles assisted by machine learning Unresolved cited work

Reference 93

Resolution
unresolved
raw_fallback, observed 2026-08-06T15:50:30.416520Z

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.

source=pdf_text observed=2026-08-06T15:50:29.728281Z digest=sha256:daebf993e05c15547c4ec947b35e0570b886991901a2dabf049f19f6b770201c

Observation b1ce1db0-46b7-450b-bd06-194aee5e2ddd · outbound

This paper cites Boosted decision trees.

Phenomenology of scalar particles assisted by machine learning Boosted decision trees

Reference 94

Resolution
verified exact
local_arxiv, observed 2026-08-06T15:50:29.922037Z

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.

source=pdf_text observed=2026-08-06T15:50:29.731405Z digest=sha256:c1bd1ca9eaa1058395119e7e52f63b18f6b8aab65a9f61ac42f246358cad4405

Observation e2d28eac-b226-4ae9-93ac-90aba75b4fc5 · outbound

This paper cites Logic of an epp experiment.

Phenomenology of scalar particles assisted by machine learning Logic of an epp experiment

Reference 95

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:50:30.409439Z

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.

source=pdf_text observed=2026-08-06T15:50:29.735071Z digest=sha256:8d20f0f37f5963c85a848b8b44efa0eaeda9ab87cca7948258cc306d880a92cc

Observation 4a3a5cf5-56f9-47d6-9a59-6876106a3057 · outbound

This paper cites FeynRules 2.0 - A complete toolbox for tree-level phenomenology.

Phenomenology of scalar particles assisted by machine learning FeynRules 2.0 - A complete toolbox for tree-level phenomenology

Reference 96

Resolution
unresolved
no resolver link, observed 2026-08-06T15:50:29.737693Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:50:29.737693Z digest=sha256:2a5f20cdaa06783c9c6d66944dae16203c49dbda0813929986081c714bc20bb9

Observation 3f3e3d18-a440-4b02-aca3-3653b4edee8f · outbound

This paper cites an unresolved cited work.

Phenomenology of scalar particles assisted by machine learning Unresolved cited work

Reference 97

Resolution
unresolved
raw_fallback, observed 2026-08-06T15:50:30.402827Z

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.

source=pdf_text observed=2026-08-06T15:50:29.741410Z digest=sha256:5cbc8fdcb70979de3cd4190df3273aeec0d01b5fa235558a3b9b6c9b713cf713

Observation 23ba4968-eafd-4625-b3e5-c98b67f6c31c · outbound

This paper cites Sjostrand,Pythia 8 status report, tech.

Phenomenology of scalar particles assisted by machine learning Sjostrand,Pythia 8 status report, tech

Reference 98

Resolution
verified exact
doi, observed 2026-08-06T15:50:29.829566Z

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.

source=pdf_text observed=2026-08-06T15:50:29.744208Z digest=sha256:c8e0ad27a047b1e73ccb0181df13ed8f572b3b873544c931cc6d4ec7d7d899ae

Observation 5903a5ff-74c7-43d7-8b2a-6ac0f503ed70 · outbound

This paper cites de Favereau, C.

Phenomenology of scalar particles assisted by machine learning de Favereau, C

Reference 99

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:50:30.395058Z

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.

source=pdf_text observed=2026-08-06T15:50:29.747067Z digest=sha256:fe93e003f3bcbb284c67725d302ff7846ef16e482e63b7ad7a6c987b70773ad4

Observation 94e8ad54-af9a-4be6-8465-f266a8d36e52 · outbound

This paper cites FastJet user manual.

Phenomenology of scalar particles assisted by machine learning FastJet user manual

Reference 100

Resolution
unresolved
no resolver link, observed 2026-08-06T15:50:29.749867Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:50:29.749867Z digest=sha256:461ef82a8a91b41aeab48824b1abcd28c3f076a13c2afa970bffd3665b88824e

Observation 1e4c287a-a942-4ea9-bbde-8ce21e9fe6a5 · outbound

This paper cites The anti-k_t jet clustering algorithm.

Phenomenology of scalar particles assisted by machine learning The anti-k_t jet clustering algorithm

Reference 101

Resolution
unresolved
no resolver link, observed 2026-08-06T15:50:29.753148Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:50:29.753148Z digest=sha256:3cca22fa80405c50b6b7df33e73dd50980a67743584961ca5c18800ce067eb0f

Pith citing papers

No inbound Pith citation observations are available.