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Paper Citation Record · LEDGER

Shedding Light on Dark Matter at the LHC with Machine Learning

As of 11 August 2026, this Paper Citation Record lists 100 of 124 outbound references and 0 inbound Pith citation observations for arXiv:2509.15121.

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pith.paper-citation-record.v1
2509.15121 v2

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Outbound references

Observation 9f4e60f8-ab70-45cf-8f03-527684b9c5ee · outbound

This paper cites Fayet,Supersymmetry and Weak, Electromagnetic and Strong Interactions,Phys.

Shedding Light on Dark Matter at the LHC with Machine Learning Fayet,Supersymmetry and Weak, Electromagnetic and Strong Interactions,Phys

Reference 3

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This paper cites Fayet,Spontaneously Broken Supersymmetric Theories of Weak, Electromagnetic and Strong Interactions,Phys.

Shedding Light on Dark Matter at the LHC with Machine Learning Fayet,Spontaneously Broken Supersymmetric Theories of Weak, Electromagnetic and Strong Interactions,Phys

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This paper cites Nilles,Supersymmetry, Supergravity and Particle Physics,Phys.

Shedding Light on Dark Matter at the LHC with Machine Learning Nilles,Supersymmetry, Supergravity and Particle Physics,Phys

Reference 5

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This paper cites Haber and G.L.

Shedding Light on Dark Matter at the LHC with Machine Learning Haber and G.L

Reference 6

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This paper cites Gunion and H.E.

Shedding Light on Dark Matter at the LHC with Machine Learning Gunion and H.E

Reference 7

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This paper cites A Supersymmetry Primer.

Shedding Light on Dark Matter at the LHC with Machine Learning A Supersymmetry Primer

Reference 8

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This paper cites Farrar and P.

Shedding Light on Dark Matter at the LHC with Machine Learning Farrar and P

Reference 9

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This paper cites Dimopoulos and H.

Shedding Light on Dark Matter at the LHC with Machine Learning Dimopoulos and H

Reference 10

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Observation c706f875-aa8d-4b3e-a2db-f39e3e9fe1c2 · outbound

This paper cites Weinberg,Supersymmetry at Ordinary Energies.

Shedding Light on Dark Matter at the LHC with Machine Learning Weinberg,Supersymmetry at Ordinary Energies

Reference 11

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This paper cites Sakai and T.

Shedding Light on Dark Matter at the LHC with Machine Learning Sakai and T

Reference 12

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This paper cites Dimopoulos, S.

Shedding Light on Dark Matter at the LHC with Machine Learning Dimopoulos, S

Reference 13

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This paper cites Jet Substructure at the Large Hadron Collider: A Review of Recent Advances in Theory and Machine Learning.

Shedding Light on Dark Matter at the LHC with Machine Learning Jet Substructure at the Large Hadron Collider: A Review of Recent Advances in Theory and Machine Learning

Reference 14

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This paper cites A high-bias, low-variance introduction to Machine Learning for physicists.

Shedding Light on Dark Matter at the LHC with Machine Learning A high-bias, low-variance introduction to Machine Learning for physicists

Reference 15

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This paper cites Deep Learning and its Application to LHC Physics.

Shedding Light on Dark Matter at the LHC with Machine Learning Deep Learning and its Application to LHC Physics

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This paper cites Machine Learning in High Energy Physics Community White Paper.

Shedding Light on Dark Matter at the LHC with Machine Learning Machine Learning in High Energy Physics Community White Paper

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This paper cites Radovic, M.

Shedding Light on Dark Matter at the LHC with Machine Learning Radovic, M

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This paper cites Machine learning and the physical sciences.

Shedding Light on Dark Matter at the LHC with Machine Learning Machine learning and the physical sciences

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Shedding Light on Dark Matter at the LHC with Machine Learning Machine and Deep Learning Applications in Particle Physics

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This paper cites A Living Review of Machine Learning for Particle Physics.

Shedding Light on Dark Matter at the LHC with Machine Learning A Living Review of Machine Learning for Particle Physics

Reference 21

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Shedding Light on Dark Matter at the LHC with Machine Learning Modern Machine Learning and Particle Physics

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Shedding Light on Dark Matter at the LHC with Machine Learning Machine Learning in the Search for New Fundamental Physics

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Shedding Light on Dark Matter at the LHC with Machine Learning Boosted decision trees

Reference 24

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This paper cites Snowmass 2021 Computational Frontier CompF03 Topical Group Report: Machine Learning.

Shedding Light on Dark Matter at the LHC with Machine Learning Snowmass 2021 Computational Frontier CompF03 Topical Group Report: Machine Learning

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Shedding Light on Dark Matter at the LHC with Machine Learning Modern Machine Learning for LHC Physicists

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Shedding Light on Dark Matter at the LHC with Machine Learning Machine Learning for Anomaly Detection in Particle Physics

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Shedding Light on Dark Matter at the LHC with Machine Learning Unsupervised and lightly supervised learning in particle physics

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Shedding Light on Dark Matter at the LHC with Machine Learning Machine Learning in High Energy Physics: A review of heavy-flavor jet tagging at the LHC

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Shedding Light on Dark Matter at the LHC with Machine Learning TASI Lectures on Physics for Machine Learning

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Shedding Light on Dark Matter at the LHC with Machine Learning The Next-to-Minimal Supersymmetric Standard Model

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Shedding Light on Dark Matter at the LHC with Machine Learning Steigman and M.S

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Shedding Light on Dark Matter at the LHC with Machine Learning The Waning of the WIMP? A Review of Models, Searches, and Constraints

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Shedding Light on Dark Matter at the LHC with Machine Learning The Well-Tempered Neutralino

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Shedding Light on Dark Matter at the LHC with Machine Learning Blind spots for neutralino dark matter in the NMSSM

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Shedding Light on Dark Matter at the LHC with Machine Learning Higgs Portals for Thermal Dark Matter - EFT Perspectives and the NMSSM -

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Shedding Light on Dark Matter at the LHC with Machine Learning Dark Matter searches with photons at the LHC

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Shedding Light on Dark Matter at the LHC with Machine Learning Asymptotic formulae for likelihood-based tests of new physics

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Shedding Light on Dark Matter at the LHC with Machine Learning A method for approximating optimal statistical significances with machine-learned likelihoods

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Shedding Light on Dark Matter at the LHC with Machine Learning Arganda, M

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Shedding Light on Dark Matter at the LHC with Machine Learning Machine-Learned Exclusion Limits without Binning

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Observation f4917347-9173-485c-a24e-87478dcd243d · outbound

This paper cites LHC Study of Third-Generation Scalar Leptoquarks with Machine-Learned Likelihoods.

Shedding Light on Dark Matter at the LHC with Machine Learning LHC Study of Third-Generation Scalar Leptoquarks with Machine-Learned Likelihoods

Reference 54

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source=pdf_text observed=2026-08-04T16:19:46.883325Z digest=sha256:da2b61264867aa281133410e975a02c020c71cdd8fda82b454a8e756e8d9ac49

Observation 6221f69c-4f83-46c5-8940-d9c9683b250a · outbound

This paper cites Rosenblatt,Remarks on Some Nonparametric Estimates of a Density Function,Ann.

Shedding Light on Dark Matter at the LHC with Machine Learning Rosenblatt,Remarks on Some Nonparametric Estimates of a Density Function,Ann

Reference 55

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source=pdf_text observed=2026-08-04T16:19:46.990364Z digest=sha256:68557d0a6eaa29a176102421015bda852b5d430ca843334bec0f66be29e36263

Observation 37ec3d8c-973d-42a7-ab34-47d07f30759b · outbound

This paper cites Parzen,On Estimation of a Probability Density Function and Mode,Ann.

Shedding Light on Dark Matter at the LHC with Machine Learning Parzen,On Estimation of a Probability Density Function and Mode,Ann

Reference 56

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source=pdf_text observed=2026-08-04T16:19:47.058669Z digest=sha256:97b1cd0a22c9e1dec1d367c7b3c0542357d160e36b422d051f5a942de1ac64ad

Observation b57da149-9172-4eba-94ed-503da855e8b2 · outbound

This paper cites Natural NMSSM after LHC Run I and the Higgsino dominated dark matter scenario.

Shedding Light on Dark Matter at the LHC with Machine Learning Natural NMSSM after LHC Run I and the Higgsino dominated dark matter scenario

Reference 57

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source=pdf_text observed=2026-08-04T16:19:47.116647Z digest=sha256:3338f3313cae80b0fc7927de45af937bf65232384ce3eb8809280c370643f89f

Observation 185fe3dc-67cf-495e-b64f-77a5ba29582f · outbound

This paper cites Present Status and Future Tests of the Higgsino-Singlino Sector in the NMSSM.

Shedding Light on Dark Matter at the LHC with Machine Learning Present Status and Future Tests of the Higgsino-Singlino Sector in the NMSSM

Reference 58

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source=pdf_text observed=2026-08-04T16:19:47.199642Z digest=sha256:618c69a2c1148610bfa4978ead9efb72c4c2a0ed9b5452888c86711f987cdbf3

Observation 2cf65982-5520-43db-82cf-91e7e2b6dad8 · outbound

This paper cites Searching for Singlino-Higgsino Dark Matter in the NMSSM.

Shedding Light on Dark Matter at the LHC with Machine Learning Searching for Singlino-Higgsino Dark Matter in the NMSSM

Reference 59

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source=pdf_text observed=2026-08-04T16:19:47.293891Z digest=sha256:2ba93ae7fac51320063677ca79decacb7622633a65586f0630631fe3c6811b09

Observation 69825d67-be22-4308-a9e7-d8a63a4c421d · outbound

This paper cites Current Status of Natural NMSSM in Light of LHC 13TeV Data and XENON-1T Results.

Shedding Light on Dark Matter at the LHC with Machine Learning Current Status of Natural NMSSM in Light of LHC 13TeV Data and XENON-1T Results

Reference 60

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source=pdf_text observed=2026-08-04T16:19:47.357189Z digest=sha256:f1fc8908b7ce45dbd96fd66c7e5bd4c25d3494b2d8f3113e2e384eaf18ddcace

Observation dbb1068d-c9ed-40e8-a424-9fc049fee09c · outbound

This paper cites The higgsino-singlino sector of the NMSSM: Combined constraints from dark matter and the LHC.

Shedding Light on Dark Matter at the LHC with Machine Learning The higgsino-singlino sector of the NMSSM: Combined constraints from dark matter and the LHC

Reference 61

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source=pdf_text observed=2026-08-04T16:19:47.435572Z digest=sha256:bb145b3d7006276d4ac81f9ee7980ffd74fd89be9de0d2e575aabdd65e04d120

Observation fb0958b2-9d6d-4ee7-8eed-b64c8821cabe · outbound

This paper cites Confronting the neutralino and chargino sector of the NMSSM to the multi-lepton searches at the LHC.

Shedding Light on Dark Matter at the LHC with Machine Learning Confronting the neutralino and chargino sector of the NMSSM to the multi-lepton searches at the LHC

Reference 62

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source=pdf_text observed=2026-08-04T16:19:47.494036Z digest=sha256:44ca12ed52c6d2515ac6216ce62b8e3457f07f9c01b4daa5d75865b51af35518

Observation a9e319c5-c34b-42a5-9f34-de0948144a0e · outbound

This paper cites The NMSSM is within Reach of the LHC: Mass Correlations & Decay Signatures.

Shedding Light on Dark Matter at the LHC with Machine Learning The NMSSM is within Reach of the LHC: Mass Correlations & Decay Signatures

Reference 63

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source=pdf_text observed=2026-08-04T16:19:47.557764Z digest=sha256:9e15bdafd66dd397ebe654e8ebb8ba6f0939149ff8458fe6360bc4bca81cf2c7

Observation 1ce95b6e-e7c3-4790-b498-4f4f56dcfdac · outbound

This paper cites The current status of fine-tuning in supersymmetry.

Shedding Light on Dark Matter at the LHC with Machine Learning The current status of fine-tuning in supersymmetry

Reference 64

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source=pdf_text observed=2026-08-04T16:19:47.611929Z digest=sha256:02f2c83ba303bc4b2544848967c7cbdb79ef08993841bb6a7047055d1df0bdf2

Observation 650ef072-fb59-404a-97e7-9fc9c97c709e · outbound

This paper cites Revisiting singlino dark matter of the natural $Z_3$-symmetric NMSSM in the light of LHC.

Shedding Light on Dark Matter at the LHC with Machine Learning Revisiting singlino dark matter of the natural $Z_3$-symmetric NMSSM in the light of LHC

Reference 65

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source=pdf_text observed=2026-08-04T16:19:47.680529Z digest=sha256:0a5a7350c3d2eb98e56b0424d7a9c54a1d536c3287ca7339ff5530053422da61

Observation a3bbccf6-4c8d-4aeb-9543-67774e02a6f3 · outbound

This paper cites Suppressing the Scattering of WIMP DM with Nucleons in Supersymmetric Theories.

Shedding Light on Dark Matter at the LHC with Machine Learning Suppressing the Scattering of WIMP DM with Nucleons in Supersymmetric Theories

Reference 66

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source=pdf_text observed=2026-08-04T16:19:47.741035Z digest=sha256:c58441eb3d52879cb48a76f2ce1b0ad4c2e7a6be5259a8bef120c3cd5dcec377

Observation 39a86851-fc49-4e07-a1e9-1943d2728236 · outbound

This paper cites A relatively light, highly bino-like dark matter in the $Z_3$-symmetric NMSSM and recent LHC searches.

Shedding Light on Dark Matter at the LHC with Machine Learning A relatively light, highly bino-like dark matter in the $Z_3$-symmetric NMSSM and recent LHC searches

Reference 67

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source=pdf_text observed=2026-08-04T16:19:47.787575Z digest=sha256:3b20e9bbcac911c0531e33f23bc344966f2b14f2a515a2614839da8abd9d18d4

Observation e1591b51-e123-400d-aaff-337bda6061a8 · outbound

This paper cites Dark matter candidates in the NMSSM with RH neutrino superfields.

Shedding Light on Dark Matter at the LHC with Machine Learning Dark matter candidates in the NMSSM with RH neutrino superfields

Reference 68

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source=pdf_text observed=2026-08-04T16:19:47.841783Z digest=sha256:255a4ebb0c10c03c8d9d7d2bf73390b9787eec5780db91288e8e659a2b07adbf

Observation 5a7e7353-7246-4927-8536-91c00857ac18 · outbound

This paper cites The new $(g-2)_\mu$ and Right-Handed Sneutrino Dark Matter.

Shedding Light on Dark Matter at the LHC with Machine Learning The new $(g-2)_\mu$ and Right-Handed Sneutrino Dark Matter

Reference 69

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source=pdf_text observed=2026-08-04T16:19:47.920219Z digest=sha256:4c36781b6735324fdc0f083684984ca19f337fef2806fae73908c89dfb0e8a53

Observation 85807ba8-39c8-47d9-954f-63bccf9c4739 · outbound

This paper cites Right-handed sneutrino and gravitino multicomponent dark matter in light of neutrino detectors.

Shedding Light on Dark Matter at the LHC with Machine Learning Right-handed sneutrino and gravitino multicomponent dark matter in light of neutrino detectors

Reference 70

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source=pdf_text observed=2026-08-04T16:19:48.007606Z digest=sha256:85c7e750085d017139b82d6cb7afa7c35628e4fd198ab0d7df04433eefcfabd3

Observation e717a194-05fc-444a-b3e4-b7c9c5a823b6 · outbound

This paper cites Hunting ewinos and a light scalar of $Z_3$-NMSSM with a bino-like dark matter in top squark decays at the LHC.

Shedding Light on Dark Matter at the LHC with Machine Learning Hunting ewinos and a light scalar of $Z_3$-NMSSM with a bino-like dark matter in top squark decays at the LHC

Reference 71

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source=pdf_text observed=2026-08-04T16:19:48.074850Z digest=sha256:70761f3bcb0c6d2a0d6cf3922262c553b0811a1ea7d6222cb77249331746a57d

Observation 504cbdb8-7f8b-4853-bea0-52920617b73d · outbound

This paper cites Modified Signals for Supersymmetry in the NMSSM with a Singlino-like LSP.

Shedding Light on Dark Matter at the LHC with Machine Learning Modified Signals for Supersymmetry in the NMSSM with a Singlino-like LSP

Reference 72

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source=pdf_text observed=2026-08-04T16:19:48.141222Z digest=sha256:c0c6c435e881bdcfe4f6452ea7178b379751a4972d3ba30daf8163ac5a55ca7f

Observation c7ee82f9-4a63-42c3-bcf2-22d2e546e598 · outbound

This paper cites NMSSM with a singlino LSP: possible challenges for searches for supersymmetry at the LHC.

Shedding Light on Dark Matter at the LHC with Machine Learning NMSSM with a singlino LSP: possible challenges for searches for supersymmetry at the LHC

Reference 73

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source=pdf_text observed=2026-08-04T16:19:48.226306Z digest=sha256:df402f52ac61df3c8526b09cf94d417a1a893476082deae6bac7e862bf9a9533

Observation 345495cd-083c-4e97-b80f-d1a4bfcaa79b · outbound

This paper cites Electroweak Phase Transition in the $Z_3$-invariant NMSSM: Implications of LHC and Dark matter searches and prospects of detecting the gravitational waves.

Shedding Light on Dark Matter at the LHC with Machine Learning Electroweak Phase Transition in the $Z_3$-invariant NMSSM: Implications of LHC and Dark matter searches and prospects of detecting the gravitational waves

Reference 74

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source=pdf_text observed=2026-08-04T16:19:48.334940Z digest=sha256:cf7f48876be374cc73075ea7380f2b21c0c26c43afa78a89ac446d80aa4e4afe

Observation 43bc2971-a959-417f-99f2-502ff74c9155 · outbound

This paper cites Impact of LHC probes of SUSY and recent measurement of $(g-2)_{\mu}$ on $\mathbb{Z}_3$-NMSSM.

Shedding Light on Dark Matter at the LHC with Machine Learning Impact of LHC probes of SUSY and recent measurement of $(g-2)_{\mu}$ on $\mathbb{Z}_3$-NMSSM

Reference 75

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source=pdf_text observed=2026-08-04T16:19:48.433144Z digest=sha256:63f335b44af7076dd7e4f769bd5b7408c7284dae11bc16f841b1b4a6d9b09e4c

Observation 1732aace-9246-40be-b865-ac6cc8f3e8d8 · outbound

This paper cites Electron and Muon Anomalous Magnetic Moment in the $\mathbb{Z}_3$-NMSSM.

Shedding Light on Dark Matter at the LHC with Machine Learning Electron and Muon Anomalous Magnetic Moment in the $\mathbb{Z}_3$-NMSSM

Reference 76

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source=pdf_text observed=2026-08-04T16:19:48.508272Z digest=sha256:8fff893df0c5dd0a6ba096e5b563be532c10b0bab12eb63885e3b3c7a89c8bb6

Observation 370c45f3-8e4a-4744-baa2-780d6ec581e3 · outbound

This paper cites Testing $Z$ boson rare decays $Z\to H_1 \gamma, A_1 \gamma$ with $(g-2)_\mu$, $M_W$, and $BR(h_{\rm SM}\to Z\gamma)$ in the NMSSM.

Shedding Light on Dark Matter at the LHC with Machine Learning Testing $Z$ boson rare decays $Z\to H_1 \gamma, A_1 \gamma$ with $(g-2)_\mu$, $M_W$, and $BR(h_{\rm SM}\to Z\gamma)$ in the NMSSM

Reference 77

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source=pdf_text observed=2026-08-04T16:19:48.615421Z digest=sha256:a178adda0b89c82b95674c9e57bf8bc6b4ea4e7bf3417bfe774939e44cf11ffc

Observation 9e024edb-60dc-4096-be32-1a39d65da4cb · outbound

This paper cites Light Singlino Dark Matter at the LHC.

Shedding Light on Dark Matter at the LHC with Machine Learning Light Singlino Dark Matter at the LHC

Reference 78

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source=pdf_text observed=2026-08-04T16:19:48.692150Z digest=sha256:29729e9bf7a619c5edfa563857b391a82d1b94139a643e520ef94e0985e38768

Observation a3389205-a134-4b78-96b3-6a4ad355735a · outbound

This paper cites Status of the singlino-dominated dark matter in general Next-to-Minimal Supersymmetric Standard Model.

Shedding Light on Dark Matter at the LHC with Machine Learning Status of the singlino-dominated dark matter in general Next-to-Minimal Supersymmetric Standard Model

Reference 79

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source=pdf_text observed=2026-08-04T16:19:48.747947Z digest=sha256:e1e1b851f19482a33621dc21f50becab8d77ef6df6a67c0eebb1b42c4bed1ebe

Observation c42413c7-218b-4473-b05b-3b3f4cc4d51e · outbound

This paper cites Exploring the Singlino-dominated Thermal Neutralino Dark Matter in the $Z_3$ invariant NMSSM.

Shedding Light on Dark Matter at the LHC with Machine Learning Exploring the Singlino-dominated Thermal Neutralino Dark Matter in the $Z_3$ invariant NMSSM

Reference 80

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source=pdf_text observed=2026-08-04T16:19:48.863370Z digest=sha256:5e5354795e1ca2b25722d604a7c3a44ebef5105cf7946e50144772e3a965305f

Observation ab2cdc38-df1d-4386-862f-73dff67e5d0b · outbound

This paper cites Dark Matter Physics in General NMSSM.

Shedding Light on Dark Matter at the LHC with Machine Learning Dark Matter Physics in General NMSSM

Reference 81

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source=pdf_text observed=2026-08-04T16:19:48.980070Z digest=sha256:c8cd6313db407811fb8c777c8dc1c85430de455f99cbdabec4aba2d1e00d4e75

Observation fcd53975-b0dc-4862-ad23-35a117f2b6b7 · outbound

This paper cites NMSSM Interpretation of the Galactic Center Excess.

Shedding Light on Dark Matter at the LHC with Machine Learning NMSSM Interpretation of the Galactic Center Excess

Reference 82

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source=pdf_text observed=2026-08-04T16:19:49.126830Z digest=sha256:1d7357a8cd0f4df917193c9f6f2df4142be4b7d763769cece4832bb650c31a6b

Observation afe01d9a-37d5-49b4-bc7c-f4e21c46df2c · outbound

This paper cites Spin-dependent constraints on blind spots for thermal singlino-higgsino dark matter with(out) light singlets.

Shedding Light on Dark Matter at the LHC with Machine Learning Spin-dependent constraints on blind spots for thermal singlino-higgsino dark matter with(out) light singlets

Reference 83

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source=pdf_text observed=2026-08-04T16:19:49.208623Z digest=sha256:5f922cab23c34b873ee8eee2b79aac8999970923590dd631d671df16d3a6812f

Observation 4f39e74d-8183-445a-be79-49983fecc03c · outbound

This paper cites NMHDECAY: A Fortran Code for the Higgs Masses, Couplings and Decay Widths in the NMSSM.

Shedding Light on Dark Matter at the LHC with Machine Learning NMHDECAY: A Fortran Code for the Higgs Masses, Couplings and Decay Widths in the NMSSM

Reference 84

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source=pdf_text observed=2026-08-04T16:19:49.305516Z digest=sha256:dd6ad0e907d90fd410ddb523ed61c6dbb7638f340cf5c7083c23bb4bad8d59ce

Observation 568eebb2-f2b3-4ef5-80a6-cc8c201b9ac6 · outbound

This paper cites Stealth Supersymmetry.

Shedding Light on Dark Matter at the LHC with Machine Learning Stealth Supersymmetry

Reference 85

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source=pdf_text observed=2026-08-04T16:19:49.429491Z digest=sha256:d87d7f87960badd51bb9fa0461ad55e4fef8b03add2476da8e5c9b0669fae6b8

Observation f72ee155-91a1-4d73-8f41-e14a85695812 · outbound

This paper cites Phenomenology of supersymmetric models with a singlet.

Shedding Light on Dark Matter at the LHC with Machine Learning Phenomenology of supersymmetric models with a singlet

Reference 86

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source=pdf_text observed=2026-08-04T16:19:49.545135Z digest=sha256:54180a74e711bfbfa46d2809bf5e1c2dc2f08a6c65129eb8d66f22803a9f8948

Observation fe170783-d4dd-4cbb-9b48-0a63698bc908 · outbound

This paper cites Relic density of dark matter in the NMSSM.

Shedding Light on Dark Matter at the LHC with Machine Learning Relic density of dark matter in the NMSSM

Reference 87

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source=pdf_text observed=2026-08-04T16:19:49.620068Z digest=sha256:f20a47464616a192ff6460bb0a02097626f70051821071af312fe0ad854cef60

Observation 813f808b-a115-4725-a2f3-e2571f678af8 · outbound

This paper cites Light Neutralino Dark Matter in the NMSSM.

Shedding Light on Dark Matter at the LHC with Machine Learning Light Neutralino Dark Matter in the NMSSM

Reference 88

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source=pdf_text observed=2026-08-04T16:19:49.777787Z digest=sha256:1db3ae1056ac1c26c1d0bb1ed1ecb27706ab37cf89adb5ae91754136aa433b5f

Observation baa4f06c-2e40-451a-a2a2-a37a3cba1a1d · outbound

This paper cites Simplified Models of Mixed Dark Matter.

Shedding Light on Dark Matter at the LHC with Machine Learning Simplified Models of Mixed Dark Matter

Reference 89

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source=pdf_text observed=2026-08-04T16:19:49.854446Z digest=sha256:63593b58dc9523919894b5c89b6780fa952b7fd16395e34bc7fa6b98bda47fb9

Observation a9f389a4-9d55-4f28-838c-acfdf0519772 · outbound

This paper cites A Stealth Supersymmetry Sampler.

Shedding Light on Dark Matter at the LHC with Machine Learning A Stealth Supersymmetry Sampler

Reference 90

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source=pdf_text observed=2026-08-04T16:19:50.005060Z digest=sha256:71a700f0ac6a018895e8176c2ab8dce5e00e98356ca09a320bf24dce16a6c696

Observation f74f4761-310e-441f-9291-d5ad2cd72ea9 · outbound

This paper cites Hidden Sector Dark Matter Models for the Galactic Center Gamma-Ray Excess.

Shedding Light on Dark Matter at the LHC with Machine Learning Hidden Sector Dark Matter Models for the Galactic Center Gamma-Ray Excess

Reference 91

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source=pdf_text observed=2026-08-04T16:19:50.133486Z digest=sha256:ed0f62df2267061d9f39b900742c64595e0f6cddcfbd5aad4fa9967eec424376

Observation a187de03-f879-49c5-973e-fd11a60f8268 · outbound

This paper cites Dark Light Higgs.

Shedding Light on Dark Matter at the LHC with Machine Learning Dark Light Higgs

Reference 92

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source=pdf_text observed=2026-08-04T16:19:50.248334Z digest=sha256:77ce47cc19cd7ce3211ad179683aa608133271386e9fe67ffe478d85829bf7e1

Observation 38ddfdd6-cc00-4507-9d9d-602d2eaab57d · outbound

This paper cites Theoretical predictions for the direct detection of neutralino dark matter in the NMSSM.

Shedding Light on Dark Matter at the LHC with Machine Learning Theoretical predictions for the direct detection of neutralino dark matter in the NMSSM

Reference 93

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source=pdf_text observed=2026-08-04T16:19:50.357962Z digest=sha256:df5a985ea2babd9aec675d6102f23c64ea76d142665dca0e65062ccd085dcca9

Observation 278e4990-9a8d-4ed3-9e49-1b168dc335ae · outbound

This paper cites Interpreting the galactic center gamma-ray excess in the NMSSM.

Shedding Light on Dark Matter at the LHC with Machine Learning Interpreting the galactic center gamma-ray excess in the NMSSM

Reference 94

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source=pdf_text observed=2026-08-04T16:19:50.435674Z digest=sha256:ff071c6b427a5878faa39458f48bd867412c250d86e17ca18a49a31a88ae3bb3

Observation 90804150-c19e-4fc0-8361-fec955688607 · outbound

This paper cites Phenomenological viability of neutralino dark matter in the NMSSM.

Shedding Light on Dark Matter at the LHC with Machine Learning Phenomenological viability of neutralino dark matter in the NMSSM

Reference 95

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source=pdf_text observed=2026-08-04T16:19:50.521547Z digest=sha256:20f604749cb4c43347e300c78e2b51409f53b3f9e3f856efa35e1fa7d6368c86

Observation aee14597-c1c1-43b2-8717-44d4a751b996 · outbound

This paper cites Improved $(g-2)_\mu$ measurement and singlino dark matter in $\mu$-term extended $\mathbb{Z}_3$-NMSSM.

Shedding Light on Dark Matter at the LHC with Machine Learning Improved $(g-2)_\mu$ measurement and singlino dark matter in $\mu$-term extended $\mathbb{Z}_3$-NMSSM

Reference 96

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source=pdf_text observed=2026-08-04T16:19:50.589591Z digest=sha256:acb93195daa675346163804a6030357af52e88e58efaedfc649d4dbe3ca46cc5

Observation a8d8b317-dad7-4d18-9f2e-b60dc322bd9f · outbound

This paper cites Dark Matter in a Constrained NMSSM.

Shedding Light on Dark Matter at the LHC with Machine Learning Dark Matter in a Constrained NMSSM

Reference 97

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source=pdf_text observed=2026-08-04T16:19:50.669187Z digest=sha256:29170ff1622d0955f0c850f8b943b9c9d79ca15c4fab26aa3f959d626e82d16a

Observation 06c0fad9-9d0f-4592-938d-50cedb4b5fbd · outbound

This paper cites The interpretation for Galactic Center Excess and Electroweak Phase Transition in the NMSSM.

Shedding Light on Dark Matter at the LHC with Machine Learning The interpretation for Galactic Center Excess and Electroweak Phase Transition in the NMSSM

Reference 98

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source=pdf_text observed=2026-08-04T16:19:50.760427Z digest=sha256:84b3b67199a8070a4352e0da24c4acdb0c494b480933701fd95a0ee05412ace2

Observation e9e3b80e-28f3-4319-99b0-48ee5c305b69 · outbound

This paper cites Singlino-driven Electroweak Baryogenesis in the Next-to-MSSM.

Shedding Light on Dark Matter at the LHC with Machine Learning Singlino-driven Electroweak Baryogenesis in the Next-to-MSSM

Reference 99

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source=pdf_text observed=2026-08-04T16:19:50.896824Z digest=sha256:9f030dbbc3a79230c72a20fda1df395a10f5f60958b6e0811a3bad35f894c1a7

Observation 73dd3097-4921-4609-a29a-bd52e7cb1157 · outbound

This paper cites Production of singlino dominated neutralinos in extended supersymmetric models.

Shedding Light on Dark Matter at the LHC with Machine Learning Production of singlino dominated neutralinos in extended supersymmetric models

Reference 100

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source=pdf_text observed=2026-08-04T16:19:51.000251Z digest=sha256:7ecce15fc966a7480266e433f854dba88ad057df22af6109f3ca2d51df9ef570

Observation a8203264-8faa-4302-8949-8de34ef25826 · outbound

This paper cites The Higgsino-Singlino World at the Large Hadron Collider.

Shedding Light on Dark Matter at the LHC with Machine Learning The Higgsino-Singlino World at the Large Hadron Collider

Reference 101

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source=pdf_text observed=2026-08-04T16:19:51.108053Z digest=sha256:f816588b78f93d5a95f67fdcaf71bccb3578a7d416ff03d0a7d629a7f539a0e6

Observation 5191af1a-5795-4a44-9e93-1c693a8e8997 · outbound

This paper cites Natural NMSSM with a Light Singlet Higgs and Singlino LSP.

Shedding Light on Dark Matter at the LHC with Machine Learning Natural NMSSM with a Light Singlet Higgs and Singlino LSP

Reference 102

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source=pdf_text observed=2026-08-04T16:19:51.213881Z digest=sha256:dcaa4339768afcf35398d8cbcbaaf87c4ae7e900b276f402b51fffffd9381adf

Observation 157adbec-a463-4c8b-80bb-ec9809663718 · outbound

This paper cites Current bounds and future prospects of light neutralino dark matter in NMSSM.

Shedding Light on Dark Matter at the LHC with Machine Learning Current bounds and future prospects of light neutralino dark matter in NMSSM

Reference 103

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source=pdf_text observed=2026-08-04T16:19:51.268683Z digest=sha256:49d495dbdf28bcb572cf493ac2d47fecb6ff57d31b93e3b43b2cf48c79a0f929

Observation ae8e8005-6450-4f33-97b4-db80e90fa4c7 · outbound

This paper cites Dark Matter in the Singlet Extension of MSSM: Explanation of Pamela and Implication on Higgs Phenomenology.

Shedding Light on Dark Matter at the LHC with Machine Learning Dark Matter in the Singlet Extension of MSSM: Explanation of Pamela and Implication on Higgs Phenomenology

Reference 104

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source=pdf_text observed=2026-08-04T16:19:51.338865Z digest=sha256:b5dcbb1a348129d2328c7e920a1d97527ec195db77cda002fbf2172aec051154

Observation 8db2f90b-7110-4d53-b6e8-ef52815f12a0 · outbound

This paper cites Long live The NMSSM!.

Shedding Light on Dark Matter at the LHC with Machine Learning Long live The NMSSM!

Reference 105

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source=pdf_text observed=2026-08-04T16:19:51.400284Z digest=sha256:d5ead44ef903ff6a73225cb2e431cb33e717cc8d04239fd81cdbb9e7fc0e5c6e

Observation 0aefbf98-09a5-416d-b465-426705887d37 · outbound

This paper cites Singlino-dominated dark matter in $Z_3$-NMSSM.

Shedding Light on Dark Matter at the LHC with Machine Learning Singlino-dominated dark matter in $Z_3$-NMSSM

Reference 106

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source=pdf_text observed=2026-08-04T16:19:51.469812Z digest=sha256:fd89ab473fdb3e84eb903e14a02b607592dbd9177cee3729c90c551f4e49a119

Observation c7ebfdca-ffd8-4725-8903-83a363065c64 · outbound

This paper cites Kim and H.P.

Shedding Light on Dark Matter at the LHC with Machine Learning Kim and H.P

Reference 107

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source=pdf_text observed=2026-08-04T16:19:51.547234Z digest=sha256:9d4c2a2c918dc1ca84c52f05ac1608411dc4a9f7bc4da629aa8dbe720abd51f7

Observation 7521dcda-17b4-4ae9-ad5d-9d8b139db872 · outbound

This paper cites Neutralino Dark Matter in Focus Point Supersymmetry.

Shedding Light on Dark Matter at the LHC with Machine Learning Neutralino Dark Matter in Focus Point Supersymmetry

Reference 108

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source=pdf_text observed=2026-08-04T16:19:51.601629Z digest=sha256:df99ca645e8671860224ce19b3ac5bb2de5227f0f3a2d5c097e1803525bda47b

Observation 1e72fc6b-a0de-4c4b-a760-251da421ae19 · outbound

This paper cites Supersymmetric Scenarios with Dominant Radiative Neutralino Decay.

Shedding Light on Dark Matter at the LHC with Machine Learning Supersymmetric Scenarios with Dominant Radiative Neutralino Decay

Reference 114

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source=pdf_text observed=2026-08-04T16:19:51.671257Z digest=sha256:06bb5e4233b06544a4af88de139c72ddf28c489a4cc2caf96ae2ef90618e3bed

Observation f8d90167-9e0e-48bc-abbc-eaf66b63374c · outbound

This paper cites NMHDECAY 2.0: An updated program for Sparticle masses, Higgs masses, couplings and decay widths in the NMSSM.

Shedding Light on Dark Matter at the LHC with Machine Learning NMHDECAY 2.0: An updated program for Sparticle masses, Higgs masses, couplings and decay widths in the NMSSM

Reference 118

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source=pdf_text observed=2026-08-04T16:19:51.745057Z digest=sha256:e4a47cd9e7e0e690e72f6da5b85475ef5ec10606be88f648ba59eddbea55cdb9

Observation 527e8c5a-fbb7-4114-ae8e-ffd61ef7f823 · outbound

This paper cites NMSDECAY: A Fortran Code for Supersymmetric Particle Decays in the Next-to-Minimal Supersymmetric Standard Model.

Shedding Light on Dark Matter at the LHC with Machine Learning NMSDECAY: A Fortran Code for Supersymmetric Particle Decays in the Next-to-Minimal Supersymmetric Standard Model

Reference 119

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source=pdf_text observed=2026-08-04T16:19:51.816602Z digest=sha256:522e96694b90c8bd85639b83b8971b52a33d846461cd63bffaa827fb11df8f59

Observation 911b9f81-06b7-4f7f-a15a-d00eee165be7 · outbound

This paper cites micrOMEGAs2.0: a program to calculate the relic density of dark matter in a generic model.

Shedding Light on Dark Matter at the LHC with Machine Learning micrOMEGAs2.0: a program to calculate the relic density of dark matter in a generic model

Reference 120

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source=pdf_text observed=2026-08-04T16:19:51.886598Z digest=sha256:05d3361299f9777d2beee3b2f3cebce9a6979896df75b334174e45de5a6d3cf5

Observation f2185859-beeb-42d0-bfce-fc6a4353ae9b · outbound

This paper cites Dark matter direct detection rate in a generic model with micrOMEGAs2.2.

Shedding Light on Dark Matter at the LHC with Machine Learning Dark matter direct detection rate in a generic model with micrOMEGAs2.2

Reference 121

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source=pdf_text observed=2026-08-04T16:19:51.968206Z digest=sha256:a4c49d5df60a83370083f9f1f3783937bf7abcc127b7684df834ca4804d078bf

Observation 9e53aecd-f244-4837-9f42-dd805b07fce7 · outbound

This paper cites Collider limits on new physics within micrOMEGAs4.3.

Shedding Light on Dark Matter at the LHC with Machine Learning Collider limits on new physics within micrOMEGAs4.3

Reference 122

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source=pdf_text observed=2026-08-04T16:19:51.996351Z digest=sha256:1f44ae2ca5bedeee78f177c5d58212a1c28c5ba04b6b065005ee4780a750bf4b

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