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Paper Citation Record · LEDGER

Phenomenology of scalar particles assisted by machine learning

As of 8 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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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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Observation 6a6bd6c0-8e3e-4690-9d39-0f5842d482f0 · outbound

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

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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

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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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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

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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

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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 2026-08-08T06:32:00.761636+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=sha256:54791b68aa4a099840cdd2a0a0f53975f6e02f89c9c39801290b5bc3512b4b16

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

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source=pdf_text observed=2026-08-06T15:50:29.574006Z digest=sha256:b58bace3cb86a06114e751163df98e04e6b7ac44aa7480c063ab98871df7140d

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=sha256:580935ce662f51aee5a26de8dd9f7d9308f8994be4caac22cb24aafa63510260

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=sha256:42bd1f48b67e5c64bda4338907425d6b8f6fc62e56c207e2948dd469dc6c6c6b

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:ab0e2fc7729a7b089a629263a805f863b3b405805a5e822dec38ca98741d9ad4

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:fe1dc8a324eb35bffbca00fea9b2a831a0b1e81c1e9e7081703eb485f9606142

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:b16bf92aae59cb7909ecf3a6948bcd190470e55e93dfcf4d17a1ab648c8f421d

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=sha256:6bde43bb4c4f420b7cbcd0df7f4cf790674639bb0fe840c7d6c76aef10bff82e

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=sha256:229789f8c2f6900fab9c371a7c54acc725f25e9bc25f57c503c6801f24a5866b

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=sha256:140fbcb369ad16a2b1a11182df23d3c0fe7d8cd8457138481644ec9530fabcbb

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=sha256:4974e002e097757409b728dc00f46e265d7aa560f16ddf6607d07f87e6606427

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

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source=pdf_text observed=2026-08-06T15:50:29.602056Z digest=sha256:711ba3a23c1437526ea3c9e145e87a20894cbef8b79a85e6ee118af48e62db16

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=sha256:4d351e5a7b4141b99dc84cca821e80f01c9c53f636f2ed91b5ab0567c8166edd

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=sha256:0b650b89ba9b89f277279187e52a58a171bcf9db1d6040928c8b5077ba339617

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:e9d73ced53745d57373282322e50d7ec49a61165075d4a372182348ff8049b87

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:cd1bae0fee91b12a0307da305df5855a9b0b79b70624e566af84879242d9623d

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 $B_q \to \mu^+\mu^-$

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source=pdf_text observed=2026-08-06T15:50:29.617129Z digest=sha256:6d72fd6ebefc5a6ac550df25e364f84d49165f91984ac58cd8734533962a2bd5

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=sha256:6b838ea4decbd01af03018841f3c39838b4eb3823d300ca69b4592f9b31f036c

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

This paper cites Bauer, T.

Phenomenology of scalar particles assisted by machine learning Bauer, T

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T15:50:29.624041Z digest=sha256:6290073b9c6579b495bbcfdd0c2c5a9869710d3c5aac6f72f9259f42c1ff7374

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=sha256:81e850cc1abee44ccef6d88699219d0b24c4e5d15267257a5bbbcf2cb2343932

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T15:50:29.630031Z digest=sha256:ef51f004d78f840f6fa82305d89291614c9aab33e2855c8563b9ae7d056aba33

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T15:50:29.632619Z digest=sha256:f64ec9d0a1ad8cc91c0cb0871e99b9c540e899f94aa650f1ee7e379b4d074878

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:e75d11f8ca0acbef51a89f098eec26119a657f09055c60db6efb16a4b4732c71

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

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source=pdf_text observed=2026-08-06T15:50:29.638651Z digest=sha256:9dc4b1d0c811aea2484ee411dabd93ad76702cc063be89cffb7fd20bdfb468de

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

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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T15:50:29.641760Z digest=sha256:6344935ede06653bff232b051585180ec010bf29dc3b9c5cbb9ac56eb1776896

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=sha256:27849d6360b7b3724712de1b4847c393216bd354e48c6fe0c0bd691a6c76df72

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

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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T15:50:29.647629Z digest=sha256:e106ed636f82cec9a5465f76c714b08620e9ff97c5ec5d889c0109ac573e0d72

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

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T15:50:29.651516Z digest=sha256:bb9d66436a7b9ed5e83c2a8b92a44e866e7ff8ce7858ccabb802e7103884ec33

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

This paper cites Crivellin, C.

Phenomenology of scalar particles assisted by machine learning Crivellin, C

Reference 68

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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T15:50:29.654160Z digest=sha256:9725fa6e10eebd97886d86dcb7549d8b677e4ba55e134d93f7f0de9422d0250b

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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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T15:50:29.657324Z digest=sha256:d25ed4944ad51d6603d2ecf073b9b91cb9880efc43efb76e1f6b2129a31ef952

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T15:50:29.660554Z digest=sha256:fa5c1a13589f73986300a346955961b249271ada423f65a7aea0d68e86f4274b

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T15:50:29.662918Z digest=sha256:7e5e9c79f4098c19f4278bcfa33293c61feba2a66c6496ffba73bba8b7444cde

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
unresolved
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:b5999e691f0b54273c33b3ef4e0d9db70a147537bc6710071725ee8c847728da

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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source=pdf_text observed=2026-08-06T15:50:29.668362Z digest=sha256:1ab9df5597c98f3f45bd75124029d213d584041bbb27e709c03047b4b3e9b85f

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=sha256:3b9338cbbf8f051227d306473ba203ef8d6971e65c47f202dd4e7f891125acd8

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=sha256:050c404f1b37002deeb49ec158de47c5d5f8c4987486fcb342c4dcc181f25596

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=sha256:0b487454c77831095ecc238bb189b014b473617419364e6529878c513063846b

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T15:50:29.680088Z digest=sha256:17442ecc23655def3bba03cce2da194ed5b5000574b95b4d47d2d4e94a3729fc

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T15:50:29.683178Z digest=sha256:f6c1bc7e0fa879232b80800d92c0a49ef2c98218301565e489f2b7f0ba3c9d03

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T15:50:29.686326Z digest=sha256:3a6551410419db3e3fd5126d2a78089b5bee7e14ccdbfe6a904bcaa5ab91c81d

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=sha256:6519cd8052ce7431273b3a718cd80370a7dea6728c290fee3dd77a4b9a3d633b

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T15:50:29.694575Z digest=sha256:afb7bbf025a1f0b3258969aef1b54b6b345abc316761800677df98006a3addc4

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T15:50:29.697518Z digest=sha256:346691522e0b16b7fd6f678885b613aa2c9b8cd77a9599e0148754ebe8751bbf

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T15:50:29.700715Z digest=sha256:430130c398a73e09936ce9c6dc1fe9ced01c361bda5cc7861a7e21bce9242e09

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T15:50:29.703635Z digest=sha256:2be425086afb03806ec5704c0e3da9859fbfda613a8d498dfb3abdeb5e27a446

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T15:50:29.706128Z digest=sha256:b9c6fdc4af3eff56d997e3a9453c8bb1b7ac1f37721a472e430ddad26800960c

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T15:50:29.710202Z digest=sha256:ad07dc9e1e9a9010032ab0a9ca833261953550beee689926e987f832c448b138

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T15:50:29.713260Z digest=sha256:8fe4e523af7c2315149c6ca0fea4ee432df0639f989cd543045c24f8ea1e2955

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:a3f62a5b1430ebd2c405d88d854985c073e7e6ac71393985ad2a3d6c18177fd1

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T15:50:29.719965Z digest=sha256:747539d0a9d49a887d39a84ead22bda4a3dd95d353f2e07371f051988720ee34

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T15:50:29.722842Z digest=sha256:ed018353b82acbc3d534126c60a01fc4bffd071b26d5365521c1f348a5e7dbe0

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T15:50:29.725260Z digest=sha256:ddd7e11293569719a18f7c039d6f33c903eeae6080d0051f711ec2f339cb4207

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T15:50:29.728281Z digest=sha256:08c21799a1c8a1411b8cb57bd1f0f58e8c758f4f7ce4e653cc2d28097000b296

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T15:50:29.731405Z digest=sha256:00456f5ede03654e89963fcfb4caf08ab40d7cf95503cac127e82e5004529c84

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T15:50:29.735071Z digest=sha256:8d60ba0ad348a18960e472c597d3a65e2cffd59d69798019546a1c30db640a69

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=sha256:58e1b2effecbc8471307bfc533a3c9fdaaefa8e3df77d48fe89c51fccf26b382

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T15:50:29.741410Z digest=sha256:a82fa60535375d758f877bf3e87a20a9657b6b0e35813f983fcb9abff30a24da

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T15:50:29.744208Z digest=sha256:bd8f5cf339858ccb2366eafdb5c35e5d147621c825eff6d4508ba12bcc10048d

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T15:50:29.747067Z digest=sha256:dd434d3110d5948f12832523d4c03bb2f96177b89f87c1c548cc8341eb52662e

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:aa530c8f70c5ea5f3832097e29d35a1db8038431f499a72e55836743ce009ab2

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:d25b9030f8632f8b6e5a24de7726fe70a121dbbf58b56b4f7cd98b8deb46b8ed

Pith citing papers

No inbound Pith citation observations are available.