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Paper Citation Record · LEDGER

Advancing Higgsino Searches by Integrating ML for Boosted Object Tagging and Event Selection

As of 11 August 2026, this Paper Citation Record lists 85 of 85 outbound references and 0 inbound Pith citation observations for arXiv:2501.07491.

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

pith.paper-citation-record.v1
2501.07491 v1

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Outbound references

Observation 7ead35f3-d810-4603-b311-e8fe01712b2b · outbound

This paper cites Sakai,Naturalness in supersymmetric GUTS, Z.

Advancing Higgsino Searches by Integrating ML for Boosted Object Tagging and Event Selection Sakai,Naturalness in supersymmetric GUTS, Z

Reference 1

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This paper cites Dimopoulos, S.

Advancing Higgsino Searches by Integrating ML for Boosted Object Tagging and Event Selection Dimopoulos, S

Reference 2

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Advancing Higgsino Searches by Integrating ML for Boosted Object Tagging and Event Selection Unresolved cited work

Reference 3

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Observation 041d1c9a-33e0-43a1-aed3-c8ec5efdca27 · outbound

This paper cites Dimopoulos and H.

Advancing Higgsino Searches by Integrating ML for Boosted Object Tagging and Event Selection Dimopoulos and H

Reference 4

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Observation 79412af0-599c-4ff0-b159-7ef88fd4223e · outbound

This paper cites Barbieri and G.

Advancing Higgsino Searches by Integrating ML for Boosted Object Tagging and Event Selection Barbieri and G

Reference 5

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Observation 0ef82518-c29d-4fa6-8158-be9a2b6b3031 · outbound

This paper cites The quest to discover supersymmetry at the ATLAS experiment.

Advancing Higgsino Searches by Integrating ML for Boosted Object Tagging and Event Selection The quest to discover supersymmetry at the ATLAS experiment

Reference 6

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Advancing Higgsino Searches by Integrating ML for Boosted Object Tagging and Event Selection Unresolved cited work

Reference 7

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Observation 0b5e4f25-0cf4-46f0-b320-d90a9d5ae149 · outbound

This paper cites Status of searches for electroweak-scale supersymmetry after LHC Run 2.

Advancing Higgsino Searches by Integrating ML for Boosted Object Tagging and Event Selection Status of searches for electroweak-scale supersymmetry after LHC Run 2

Reference 8

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Observation c84f20a9-1304-4820-adb9-26af25992af5 · outbound

This paper cites Searches for new phenomena in events with two leptons, jets, and missing transverse momentum in 139 fb$^{-1}$ of $ \sqrt{s}=13$ TeV $ pp$ collisions with the ATLAS detector.

Advancing Higgsino Searches by Integrating ML for Boosted Object Tagging and Event Selection Searches for new phenomena in events with two leptons, jets, and missing transverse momentum in 139 fb$^{-1}$ of $ \sqrt{s}=13$ TeV $ pp$ collisions with the ATLAS detector

Reference 13

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This paper cites Search for pair-produced higgsinos decaying via Higgs or $Z$ bosons to final states containing a pair of photons and a pair of $b$-jets with the ATLAS detector.

Advancing Higgsino Searches by Integrating ML for Boosted Object Tagging and Event Selection Search for pair-produced higgsinos decaying via Higgs or $Z$ bosons to final states containing a pair of photons and a pair of $b$-jets with the ATLAS detector

Reference 14

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Advancing Higgsino Searches by Integrating ML for Boosted Object Tagging and Event Selection Unresolved cited work

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This paper cites Searches for electroweak production of supersymmetric particles with compressed mass spectra in $\sqrt{s}=13$ TeV $pp$ collisions with the ATLAS detector.

Advancing Higgsino Searches by Integrating ML for Boosted Object Tagging and Event Selection Searches for electroweak production of supersymmetric particles with compressed mass spectra in $\sqrt{s}=13$ TeV $pp$ collisions with the ATLAS detector

Reference 16

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This paper cites Search for supersymmetry in final states with two or three soft leptons and missing transverse momentum in proton-proton collisions at $\sqrt{s} =$ 13 TeV.

Advancing Higgsino Searches by Integrating ML for Boosted Object Tagging and Event Selection Search for supersymmetry in final states with two or three soft leptons and missing transverse momentum in proton-proton collisions at $\sqrt{s} =$ 13 TeV

Reference 17

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Advancing Higgsino Searches by Integrating ML for Boosted Object Tagging and Event Selection Unresolved cited work

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Advancing Higgsino Searches by Integrating ML for Boosted Object Tagging and Event Selection Unresolved cited work

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Advancing Higgsino Searches by Integrating ML for Boosted Object Tagging and Event Selection Wess and B

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Advancing Higgsino Searches by Integrating ML for Boosted Object Tagging and Event Selection Dimopoulos and H

Reference 21

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Advancing Higgsino Searches by Integrating ML for Boosted Object Tagging and Event Selection Unresolved cited work

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Advancing Higgsino Searches by Integrating ML for Boosted Object Tagging and Event Selection Unresolved cited work

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Observation 470594d0-e807-4875-8a5c-6555d9cc68b3 · outbound

This paper cites Goldberg,Constraint on the Photino Mass from Cosmology, Phys.

Advancing Higgsino Searches by Integrating ML for Boosted Object Tagging and Event Selection Goldberg,Constraint on the Photino Mass from Cosmology, Phys

Reference 24

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This paper cites Coannihilation Effects and Relic Abundance of Higgsino-Dominant LSPs.

Advancing Higgsino Searches by Integrating ML for Boosted Object Tagging and Event Selection Coannihilation Effects and Relic Abundance of Higgsino-Dominant LSPs

Reference 25

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Advancing Higgsino Searches by Integrating ML for Boosted Object Tagging and Event Selection Cosmology and Astrophysics of Minimal Dark Matter

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This paper cites Neutralino Dark Matter in Focus Point Supersymmetry.

Advancing Higgsino Searches by Integrating ML for Boosted Object Tagging and Event Selection Neutralino Dark Matter in Focus Point Supersymmetry

Reference 27

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Advancing Higgsino Searches by Integrating ML for Boosted Object Tagging and Event Selection Non-perturbative Effect on Thermal Relic Abundance of Dark Matter

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Advancing Higgsino Searches by Integrating ML for Boosted Object Tagging and Event Selection Girardello and M

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Advancing Higgsino Searches by Integrating ML for Boosted Object Tagging and Event Selection Unresolved cited work

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Advancing Higgsino Searches by Integrating ML for Boosted Object Tagging and Event Selection Unresolved cited work

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Advancing Higgsino Searches by Integrating ML for Boosted Object Tagging and Event Selection Unresolved cited work

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Advancing Higgsino Searches by Integrating ML for Boosted Object Tagging and Event Selection Barbieri, S

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Advancing Higgsino Searches by Integrating ML for Boosted Object Tagging and Event Selection Cremmer, P

Reference 34

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Advancing Higgsino Searches by Integrating ML for Boosted Object Tagging and Event Selection Unresolved cited work

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Advancing Higgsino Searches by Integrating ML for Boosted Object Tagging and Event Selection Unresolved cited work

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Advancing Higgsino Searches by Integrating ML for Boosted Object Tagging and Event Selection Out Of This World Supersymmetry Breaking

Reference 37

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Advancing Higgsino Searches by Integrating ML for Boosted Object Tagging and Event Selection Gaugino Mass without Singlets

Reference 38

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Advancing Higgsino Searches by Integrating ML for Boosted Object Tagging and Event Selection Dynamical Supersymmetry Breaking at Low Energies

Reference 39

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Advancing Higgsino Searches by Integrating ML for Boosted Object Tagging and Event Selection Dynamical Supersymmetry Breaking Simplified

Reference 40

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This paper cites New Tools for Low Energy Dynamical Supersymmetry Breaking.

Advancing Higgsino Searches by Integrating ML for Boosted Object Tagging and Event Selection New Tools for Low Energy Dynamical Supersymmetry Breaking

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Observation bd32e6a5-d6f3-40a4-8fa7-67e8eca5fcbc · outbound

This paper cites General Gauge Mediation.

Advancing Higgsino Searches by Integrating ML for Boosted Object Tagging and Event Selection General Gauge Mediation

Reference 42

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Observation d813c328-bf94-4696-8616-31317b86e2ea · outbound

This paper cites Exploring General Gauge Mediation.

Advancing Higgsino Searches by Integrating ML for Boosted Object Tagging and Event Selection Exploring General Gauge Mediation

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Observation 7c17e523-b269-43f0-bcf8-85bc307c13e2 · outbound

This paper cites Revisiting mGMSB in light of a 125 GeV Higgs.

Advancing Higgsino Searches by Integrating ML for Boosted Object Tagging and Event Selection Revisiting mGMSB in light of a 125 GeV Higgs

Reference 44

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Observation bffde923-b964-48ad-868a-74fe63f3abc9 · outbound

This paper cites Search for supersymmetry in events with four or more charged leptons in $139\,\mbox{fb\(^{-1}\)}$ of $\sqrt{s}=13$ TeV $pp$ collisions with the ATLAS detector.

Advancing Higgsino Searches by Integrating ML for Boosted Object Tagging and Event Selection Search for supersymmetry in events with four or more charged leptons in $139\,\mbox{fb\(^{-1}\)}$ of $\sqrt{s}=13$ TeV $pp$ collisions with the ATLAS detector

Reference 45

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Observation 79d30699-eeb4-4d9e-ab94-f0cab8bfe357 · outbound

This paper cites Search for charginos and neutralinos in final states with two boosted hadronically decaying bosons and missing transverse momentum in $pp$ collisions at $\sqrt{s}=13$ TeV with the ATLAS detector.

Advancing Higgsino Searches by Integrating ML for Boosted Object Tagging and Event Selection Search for charginos and neutralinos in final states with two boosted hadronically decaying bosons and missing transverse momentum in $pp$ collisions at $\sqrt{s}=13$ TeV with the ATLAS detector

Reference 46

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Observation c9d8aa05-24f7-4379-9494-3d5c1d639131 · outbound

This paper cites Search for pair production of higgsinos in events with two Higgs bosons and missing transverse momentum in $\sqrt{s}=13$ TeV $pp$ collisions at the ATLAS experiment.

Advancing Higgsino Searches by Integrating ML for Boosted Object Tagging and Event Selection Search for pair production of higgsinos in events with two Higgs bosons and missing transverse momentum in $\sqrt{s}=13$ TeV $pp$ collisions at the ATLAS experiment

Reference 47

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Observation 706528ab-9d74-4612-9e50-3fd15bcb7ceb · outbound

This paper cites Search for supersymmetry in events with four or more leptons in $\sqrt{s}=13$ TeV $pp$ collisions with ATLAS.

Advancing Higgsino Searches by Integrating ML for Boosted Object Tagging and Event Selection Search for supersymmetry in events with four or more leptons in $\sqrt{s}=13$ TeV $pp$ collisions with ATLAS

Reference 48

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Observation 80731c21-8986-45e7-8ae1-cb7b614210f0 · outbound

This paper cites Search for direct production of electroweakinos in final states with missing transverse momentum and a Higgs boson decaying into photons in $pp$ collisions at $\sqrt{s}=13$ TeV with the ATLAS detector.

Advancing Higgsino Searches by Integrating ML for Boosted Object Tagging and Event Selection Search for direct production of electroweakinos in final states with missing transverse momentum and a Higgs boson decaying into photons in $pp$ collisions at $\sqrt{s}=13$ TeV with the ATLAS detector

Reference 49

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Observation 3644a23f-07fa-4e53-9a6a-a2cba29e6c02 · outbound

This paper cites Search for pair production of higgsinos in final states with at least three $b$-tagged jets in $\sqrt{s} = 13$ TeV $pp$ collisions using the ATLAS detector.

Advancing Higgsino Searches by Integrating ML for Boosted Object Tagging and Event Selection Search for pair production of higgsinos in final states with at least three $b$-tagged jets in $\sqrt{s} = 13$ TeV $pp$ collisions using the ATLAS detector

Reference 50

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Observation 5589536a-4474-48dc-9c04-00223d775edd · outbound

This paper cites Search for electroweak production of charginos and neutralinos in proton-proton collisions at $\sqrt{s} = $ 13 TeV.

Advancing Higgsino Searches by Integrating ML for Boosted Object Tagging and Event Selection Search for electroweak production of charginos and neutralinos in proton-proton collisions at $\sqrt{s} = $ 13 TeV

Reference 51

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Observation ea6d8dc5-3c30-4a90-a072-8b871006ffb9 · outbound

This paper cites Combined search for electroweak production of winos, binos, higgsinos, and sleptons in proton-proton collisions at $\sqrt{s}$ = 13 TeV.

Advancing Higgsino Searches by Integrating ML for Boosted Object Tagging and Event Selection Combined search for electroweak production of winos, binos, higgsinos, and sleptons in proton-proton collisions at $\sqrt{s}$ = 13 TeV

Reference 52

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Observation b28819e9-ef04-48e3-859b-05937a4d3266 · outbound

This paper cites Search for electroweak production of charginos and neutralinos in multilepton final states in proton-proton collisions at $\sqrt{s}=$ 13 TeV.

Advancing Higgsino Searches by Integrating ML for Boosted Object Tagging and Event Selection Search for electroweak production of charginos and neutralinos in multilepton final states in proton-proton collisions at $\sqrt{s}=$ 13 TeV

Reference 53

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Observation 000d9e4c-37b5-4491-8511-85a3772d1fe4 · outbound

This paper cites Search for supersymmetry in final states with two oppositely charged same-flavor leptons and missing transverse momentum in proton-proton collisions at $\sqrt{s} =$ 13 TeV.

Advancing Higgsino Searches by Integrating ML for Boosted Object Tagging and Event Selection Search for supersymmetry in final states with two oppositely charged same-flavor leptons and missing transverse momentum in proton-proton collisions at $\sqrt{s} =$ 13 TeV

Reference 54

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Observation 275a548e-17ff-4d7b-b383-5ae193e00983 · outbound

This paper cites Search for supersymmetry with Higgs boson to diphoton decays using the razor variables at $\sqrt{s} = $ 13 TeV.

Advancing Higgsino Searches by Integrating ML for Boosted Object Tagging and Event Selection Search for supersymmetry with Higgs boson to diphoton decays using the razor variables at $\sqrt{s} = $ 13 TeV

Reference 55

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Observation 512b2b35-d0eb-4d8c-8729-7e4c97cb436b · outbound

This paper cites Search for higgsino pair production in pp collisions at sqrt(s) = 13 TeV in final states with large missing transverse momentum and two Higgs bosons decaying via H to bb-bar.

Advancing Higgsino Searches by Integrating ML for Boosted Object Tagging and Event Selection Search for higgsino pair production in pp collisions at sqrt(s) = 13 TeV in final states with large missing transverse momentum and two Higgs bosons decaying via H to bb-bar

Reference 56

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verified exact
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Observation 968464f0-53b5-4c38-b33c-6d3c57d0cf30 · outbound

This paper cites Search for higgsinos decaying to two Higgs bosons and missing transverse momentum in proton-proton collisions at $\sqrt{s} =$ 13 TeV.

Advancing Higgsino Searches by Integrating ML for Boosted Object Tagging and Event Selection Search for higgsinos decaying to two Higgs bosons and missing transverse momentum in proton-proton collisions at $\sqrt{s} =$ 13 TeV

Reference 57

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Observation 9c46b702-a1b5-400f-84c8-a0931bc5d436 · outbound

This paper cites SARAH 4: A tool for (not only SUSY) model builders.

Advancing Higgsino Searches by Integrating ML for Boosted Object Tagging and Event Selection SARAH 4: A tool for (not only SUSY) model builders

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Observation 730631d5-f422-4841-8190-56c6e0f830d5 · outbound

This paper cites Sarah.

Advancing Higgsino Searches by Integrating ML for Boosted Object Tagging and Event Selection Sarah

Reference 59

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Observation 52728de7-b020-4960-bcb7-993aa2a4dbd5 · outbound

This paper cites SPheno 3.1: extensions including flavour, CP-phases and models beyond the MSSM.

Advancing Higgsino Searches by Integrating ML for Boosted Object Tagging and Event Selection SPheno 3.1: extensions including flavour, CP-phases and models beyond the MSSM

Reference 60

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Observation 15c89a10-099a-43c9-8f72-52ec1bea0b9e · outbound

This paper cites SPheno, a program for calculating supersymmetric spectra, SUSY particle decays and SUSY particle production at e+ e- colliders.

Advancing Higgsino Searches by Integrating ML for Boosted Object Tagging and Event Selection SPheno, a program for calculating supersymmetric spectra, SUSY particle decays and SUSY particle production at e+ e- colliders

Reference 61

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Observation 5de0bb01-c30a-4a58-a3ba-7be807f09933 · outbound

This paper cites The automated computation of tree-level and next-to-leading order differential cross sections, and their matching to parton shower simulations.

Advancing Higgsino Searches by Integrating ML for Boosted Object Tagging and Event Selection The automated computation of tree-level and next-to-leading order differential cross sections, and their matching to parton shower simulations

Reference 62

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Observation 3ba79cc1-e842-4ddf-a5b9-3fbbb126992f · outbound

This paper cites Precision predictions for electroweak superpartner production at hadron colliders with Resummino.

Advancing Higgsino Searches by Integrating ML for Boosted Object Tagging and Event Selection Precision predictions for electroweak superpartner production at hadron colliders with Resummino

Reference 63

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Observation 7d22b2e5-c9d8-4925-94ea-de1d3fb71983 · outbound

This paper cites Top Quark Pair Production beyond NNLO.

Advancing Higgsino Searches by Integrating ML for Boosted Object Tagging and Event Selection Top Quark Pair Production beyond NNLO

Reference 64

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Observation d1bd633b-fe63-4014-a2c8-1431a91fb0e9 · outbound

This paper cites Vector boson production at hadron colliders: a fully exclusive QCD calculation at NNLO.

Advancing Higgsino Searches by Integrating ML for Boosted Object Tagging and Event Selection Vector boson production at hadron colliders: a fully exclusive QCD calculation at NNLO

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Observation 183cbd02-e3e1-4e76-bd44-28700cb7fc10 · outbound

This paper cites Combination of electroweak and QCD corrections to single W production at the Fermilab Tevatron and the CERN LHC.

Advancing Higgsino Searches by Integrating ML for Boosted Object Tagging and Event Selection Combination of electroweak and QCD corrections to single W production at the Fermilab Tevatron and the CERN LHC

Reference 66

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Observation 6ea99cf5-c748-462b-810b-03034c76eecc · outbound

This paper cites Top-quark pair hadroproduction in association with a heavy boson at NLO+NNLL including EW corrections.

Advancing Higgsino Searches by Integrating ML for Boosted Object Tagging and Event Selection Top-quark pair hadroproduction in association with a heavy boson at NLO+NNLL including EW corrections

Reference 67

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Observation 09c27515-de15-4647-8973-39a3a73e7a3e · outbound

This paper cites Theoretical results for electroweak-boson and single-top production.

Advancing Higgsino Searches by Integrating ML for Boosted Object Tagging and Event Selection Theoretical results for electroweak-boson and single-top production

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Observation 0114e4fe-484d-44e1-a59d-030df067b5eb · outbound

This paper cites Vector boson pair production at the LHC.

Advancing Higgsino Searches by Integrating ML for Boosted Object Tagging and Event Selection Vector boson pair production at the LHC

Reference 69

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Observation b9886b01-8553-44f0-96c4-0f11a15ae0db · outbound

This paper cites NLO QCD + NLO EW corrections to $WZZ$ productions with leptonic decays at the LHC.

Advancing Higgsino Searches by Integrating ML for Boosted Object Tagging and Event Selection NLO QCD + NLO EW corrections to $WZZ$ productions with leptonic decays at the LHC

Reference 70

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verified exact
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Observation 3b13cb9c-35fe-4fca-b306-8dfc6974cae7 · outbound

This paper cites An Introduction to PYTHIA 8.2.

Advancing Higgsino Searches by Integrating ML for Boosted Object Tagging and Event Selection An Introduction to PYTHIA 8.2

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Observation 18b51ddd-8e20-47e5-96f6-32648e38e578 · outbound

This paper cites DELPHES 3, A modular framework for fast simulation of a generic collider experiment.

Advancing Higgsino Searches by Integrating ML for Boosted Object Tagging and Event Selection DELPHES 3, A modular framework for fast simulation of a generic collider experiment

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Observation 89786e3a-aa2a-46a9-a40e-9f0c5ac8d7ce · outbound

This paper cites The anti-k_t jet clustering algorithm.

Advancing Higgsino Searches by Integrating ML for Boosted Object Tagging and Event Selection The anti-k_t jet clustering algorithm

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Observation eef2c36c-59ef-417e-b8d5-2be65ea3210e · outbound

This paper cites FastJet user manual.

Advancing Higgsino Searches by Integrating ML for Boosted Object Tagging and Event Selection FastJet user manual

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Observation ff6d0512-594a-41de-a1a6-fcb0dd839cd1 · outbound

This paper cites Electron reconstruction and identification in the ATLAS experiment using the 2015 and 2016 LHC proton-proton collision data at $\sqrt{s}$ = 13 TeV.

Advancing Higgsino Searches by Integrating ML for Boosted Object Tagging and Event Selection Electron reconstruction and identification in the ATLAS experiment using the 2015 and 2016 LHC proton-proton collision data at $\sqrt{s}$ = 13 TeV

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This paper cites Search for supersymmetry in a final state containing two photons and missing transverse momentum in $\sqrt{s}$ = 13 TeV $pp$ collisions at the LHC using the ATLAS detector.

Advancing Higgsino Searches by Integrating ML for Boosted Object Tagging and Event Selection Search for supersymmetry in a final state containing two photons and missing transverse momentum in $\sqrt{s}$ = 13 TeV $pp$ collisions at the LHC using the ATLAS detector

Reference 76

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Observation adbb6676-cdd5-478d-940c-21a1526028fa · outbound

This paper cites Search for dark matter in association with an energetic photon in pp collisions at $\sqrt{s}$ = 13 TeV with the ATLAS detector.

Advancing Higgsino Searches by Integrating ML for Boosted Object Tagging and Event Selection Search for dark matter in association with an energetic photon in pp collisions at $\sqrt{s}$ = 13 TeV with the ATLAS detector

Reference 77

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Observation d6e3a7c2-fea5-4007-92ee-d4ea6be06e43 · outbound

This paper cites Search for squarks and gluinos in final states with jets and missing transverse momentum using 139 fb$^{-1}$ of $\sqrt{s}$ =13 TeV $pp$ collision data with the ATLAS detector.

Advancing Higgsino Searches by Integrating ML for Boosted Object Tagging and Event Selection Search for squarks and gluinos in final states with jets and missing transverse momentum using 139 fb$^{-1}$ of $\sqrt{s}$ =13 TeV $pp$ collision data with the ATLAS detector

Reference 78

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Observation c280b4e7-2bd3-4300-b4bf-665ce05429fb · outbound

This paper cites Chen and C.

Advancing Higgsino Searches by Integrating ML for Boosted Object Tagging and Event Selection Chen and C

Reference 79

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Source-reported events for the cited work

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Observation 9811f84e-d614-4198-8e1c-92c80c5bcdce · outbound

This paper cites Heinrich, M.

Advancing Higgsino Searches by Integrating ML for Boosted Object Tagging and Event Selection Heinrich, M

Reference 80

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Observation 5096ad0e-6180-4c47-b6cb-1f500787f3a7 · outbound

This paper cites pyhf: pure-Python implementation of HistFactory with tensors and automatic differentiation.

Advancing Higgsino Searches by Integrating ML for Boosted Object Tagging and Event Selection pyhf: pure-Python implementation of HistFactory with tensors and automatic differentiation

Reference 81

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Observation 596a5b1e-6483-4a4c-add0-a01e5f026268 · outbound

This paper cites Cranmer, G.

Advancing Higgsino Searches by Integrating ML for Boosted Object Tagging and Event Selection Cranmer, G

Reference 82

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Observation 6dd1c022-b2e9-476c-9f92-d36c0f4b3a09 · outbound

This paper cites Brun and F.

Advancing Higgsino Searches by Integrating ML for Boosted Object Tagging and Event Selection Brun and F

Reference 83

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Observation 6ed5e846-9d9e-498d-8c3e-0f7ff3d8fbf6 · outbound

This paper cites Antcheva et al.,ROOT: A C++ framework for petabyte data storage, statistical analysis and visualization, Comput.

Advancing Higgsino Searches by Integrating ML for Boosted Object Tagging and Event Selection Antcheva et al.,ROOT: A C++ framework for petabyte data storage, statistical analysis and visualization, Comput

Reference 84

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation a8480e72-8e71-4da5-8671-66090bfc512c · outbound

This paper cites Search for physics beyond the standard model in multilepton final states in proton-proton collisions at $\sqrt{s} =$ 13 TeV.

Advancing Higgsino Searches by Integrating ML for Boosted Object Tagging and Event Selection Search for physics beyond the standard model in multilepton final states in proton-proton collisions at $\sqrt{s} =$ 13 TeV

Reference 85

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Source-reported events for the cited work

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Observation b82b0d74-61d1-4a27-afe0-e751272a545d · outbound

This paper cites an unresolved cited work.

Advancing Higgsino Searches by Integrating ML for Boosted Object Tagging and Event Selection Unresolved cited work

Reference 86

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 7d7fec7c-c3e6-44ef-ad3d-ef04c73b5bb2 · outbound

This paper cites Multi-scale cross-attention transformer encoder for event classification.

Advancing Higgsino Searches by Integrating ML for Boosted Object Tagging and Event Selection Multi-scale cross-attention transformer encoder for event classification

Reference 87

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Source-reported events for the cited work

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Observation e9c00cc6-0086-4edb-89db-37145d815e49 · outbound

This paper cites An Efficient Lorentz Equivariant Graph Neural Network for Jet Tagging.

Advancing Higgsino Searches by Integrating ML for Boosted Object Tagging and Event Selection An Efficient Lorentz Equivariant Graph Neural Network for Jet Tagging

Reference 88

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Source-reported events for the cited work

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Observation ef66c4d6-8f91-475a-9765-128bc42da822 · outbound

This paper cites Sahoo, R.

Advancing Higgsino Searches by Integrating ML for Boosted Object Tagging and Event Selection Sahoo, R

Reference 89

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Pith citing papers

No inbound Pith citation observations are available.