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Paper Citation Record · LEDGER

Shedding Light on Dark Matter at the LHC with Machine Learning

As of 22 August 2026, this Paper Citation Record lists 100 of 124 outbound references and 0 inbound Pith citation observations for arXiv:2509.15121.

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

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

Reference 4

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Observation c7cdd1a5-af5c-4d0e-836c-b40fcd68a221 · outbound

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

Reference 18

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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

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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:f1f290a5a222043dc269e59314ae7f7303b1b3240a9656dc9fb6a45bbf703bbf

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=sha256:76ed044e2ff4fe165cd1608780034b411464707fc95a980aabff03be383c1569

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:c30d3beb7a812b9d3b6fbdf857e8f5f96c82c823ea143bb8bc93d5bdfe8fe015

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=sha256:9de0aed297ee0b6d860d44d02e9db187f5ed0926b395dc234d41bf9aaa7da0f9

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=sha256:448618edda6b33d785d39940af12e662e6e54903e4c800704d58dc9e88b75561

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=sha256:6002867fc7d4c6763f9b3744e790975a42f928068f822952a6bd2d197b80b210

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:f1fb1fa1069104ea38f6f5fec6a11ddec6f23ae330b49d5f3b63b8c905bbde9f

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=sha256:89d7fdb440682c41e074bd9121c401a2bdf7c7d90d2b784fd2d52b5d9bd3e28e

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=sha256:51476f4f2a0263ff2e396301b21528a94b7568e9d76c84d641209f648e886a8f

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:e7afbb68544d5ecc725ea2e759aeea9e23e73f9ce06f99dcf7a0d1924f64f331

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=sha256:31008956f3408171e1b1da898484046938df7d5024ac0fe8a2101867daf1748c

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:da63ca140b89f4283bcccd41a630fd1a311dbdac886edf2370281dc3aa16fde3

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=sha256:42308fd871764db4fa9852b44fc7f4084c007da9fde18933be6a957bb29d9c5a

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:ad1e3971ddf1c9a6ae11986d4579ff59e9f2adcbdd6693c7d6d0f0f38f6663ca

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:fb1cf172a54b0b2a75c4ee0a6ede2ff4255a48a1b01489c780ffa32fe6e28080

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=sha256:7e10dfc4e2c9ac0561259a1da1852ec8749546d0b55192bfe508dfc414e7c614

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:c08a01a8b3e55f051b7166b31fb044b37f8857cdbfe0cd54be518672d8b81d84

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=sha256:66e3d33e9854023af2088dfd0f3d3968a0c44c66211c03b9ff87ffe71f4d9d08

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:c3fa28ccc96eae34429a1921599dfa01ed0bbeaabf906be314dba8d6df295bb8

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:d3dad7f5bd9adcce0029b6ba585fd3b283a47ffd869e4afacd06f1aa1ba20195

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=sha256:4cd9b2aa4828a610c66188ae0de9ef0661bea9bacac47796e753665a4649a957

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=sha256:0f05fcb56e346030505e41c22c09665e75223fb66769ecdab7dd9ccc4c47f0bf

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:c7022f8d9105ae3237c81f07e98361f99c07f08fa43a93f989a11cc2e5f10a2b

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=sha256:85a71cb4ea200a6a8725caa71e79865c99813528d6e9f4d07a0082925a5c8899

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=sha256:0404f47aad4c62719d8833150b5a8c6616ba54ad596bf420347d5c679c040996

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:badd453df930b03d10a288cb7405aa4092504a3ec6afe3d05d71fc114fead8bd

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:c27f8e48d3b2ca69bb21ccfba07938af4edcb9b4c66ef75035af9b2073fa6278

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=sha256:1607427796c0f1c895acb109e76258c9f27bbc9a73e89c6da1e7156c9accf49d

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:f3693bee5dd18dc7b008d8d58a3b4c4b43c02707e0fae9c4334cfc32ac613279

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:f5673c124905f2dc7839b81969f955e26190945dd400b00de4eaac07cbd8e112

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:a8616c68c61e1078f3f0cb234eab6f84f2ccfef113ad16409e7017505b1dde5d

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=sha256:2e20c207c7f5888c03804ca788d20652ccee816615ca73065741eb7c9cc1f228

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:b38fff6124997b2c57d92993bc3534f92c66cac0f8001e697e052e2e4edb1f40

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=sha256:51c53999b7d62fb4d34098c9b70e13561c7507c99f6b3ca3002ad60ceaa0bbd9

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=sha256:9c67b1f33420f1fecc8b1a9d101c2d7869c4b4c0bf2d56a48369a61ff19e7306

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:f39cfd1db3d35533b06913d838ff75ba39e0c3eb0b757d1e1eaef9a3f10d9d55

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:a4f0a2d8b1c720724899a92e651a0cd6058db4642021f1ab4e7bad5a441eb815

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:ad5460ded521cf4937a9c531de5a677b6effea3d446fd2317405a3c9a489752e

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=sha256:07c719e59d064a3cf928cffa2c8fac4e402d6ba16107fe890ba037fba3a3bee6

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=sha256:91de725547f740061b83ab55776401a4c20a73657e44200fc19a242e5d252c1f

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=sha256:48e6119055fd58f1bd2b668b58166fc6e79691ec15368a93031b2ad14ffb2b5e

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=sha256:4c6194e973c5ba69529c342e896250d8f5f7a2cdfba8f94ad3e28d7ff3da136f

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=sha256:6a8baac748736b5416798762626b8905db972d4baae978b76435bca92b44bc31

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:ef7adb901b775d3ba42d770b99e6cb603a43f2ff14033d07c1291936e0b91df4

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=sha256:498ea3e5d0f988e94ec2f172ee28f0fe96bb2d9a1416af93f8eb67ee4057dc96

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:f70cb74cdb1d6465099ea99b59ac3087688d6e5945b7ad8eb9501afea0c18373

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=sha256:8cbdde3db95a17373387025638acb3eede435974ab8600d660a8c48d9cb767de

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:c0f0d04ed7559006408a2ed15b8526842d4679b379d823604f83913d786e8e0b

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:e6c9a379bde800ccc06bd097c4963821e8b67ddca3b7355d65030aea2182aa78

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=sha256:23b2bb5f7cb621646e1623c2900b93a037833ae21d9126adb8fd86c0e0872ed1

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:a77f3bddcb31a84c7cf0edb0b6b92da8027ea98d4f5aab17a07bd136d613f4b4

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:ff9afc6363dbcd412547db73547ac21c344bca88406c4b856d82fd8735048a33

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=sha256:5addd13db0e2eb01208a4c0e49db093b28fb1b7f5e57404231dbcf9850f20fa4

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=sha256:1668031b115dbf2da7c55d77900f45393d56d5ede2b37178db278c366a4e4d06

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=sha256:1fefa65fe3aa1c3b8c89770e59d647358ed628f519d34ff393a6240788d4cd88

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=sha256:72bdcd0ae597cff048c37fd541adeb7d137b4c7b4426e264e3213d7f850e0ceb

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:aa812bcf4c5c3bf9d83365872df17d19e80b0da71a875538bbefe676413b8a9f

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:f3984ab330f2dfd0e15f92fd7e0660f0d3c704038e420fc271ad82c4e31e6646

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=sha256:27a22eb1b5dc851eb239e16ac4426a5c4c1f3aa6eee78916afb4ef86f1e6f4ca

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=sha256:6bfcd3733b03f23b98c29180e34ad3da50ee709c9025fe25bfcfa294664453a4

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=sha256:03577a7b0478fe43e377494918fdea8e5b35d4ddb31f4579d5daee7dca2e535e

Pith citing papers

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