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Paper Citation Record · LEDGER

Probing triple Higgs coupling with machine learning at the LHC

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2005.11086.

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

pith.paper-citation-record.v1
2005.11086 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:49:19.431731Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-02T09:06:49.681066Z

Reference resolution

0 of 0 outbound references displayed

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  • verified fuzzy0
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  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation bc2c0870-99f0-4cf9-b19c-d1f6904eaf5d · inbound

Triple Higgs Boson Production with Two Heavy Scalars at the LHC via a Simplified Approach cites this paper.

Triple Higgs Boson Production with Two Heavy Scalars at the LHC via a Simplified Approach Probing triple Higgs coupling with machine learning at the LHC

Reference 108

Resolution
unresolved
no resolver link, observed 2026-08-10T14:56:02.084075Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:56:02.084075Z digest=sha256:b62676b8a26e3c05f89d5af231e91646b92088bbf094648aabe1f97c81b22974

Observation 652218d6-4f38-41ab-91a7-a2fba477bd71 · inbound

The LHC sensitivity to weak gauginos in light of the latest muon $g-2$ and dark matter results cites this paper.

The LHC sensitivity to weak gauginos in light of the latest muon $g-2$ and dark matter results Probing triple Higgs coupling with machine learning at the LHC

Reference 114

Resolution
unresolved
no resolver link, observed 2026-08-15T23:49:19.431731Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:49:19.431731Z digest=sha256:e04f0503902069bb28803b98e2437be968c6ea7bd21429e8398d1b4b71af31b4

Observation 155ce08a-3ed2-4b4e-a799-66678d630c9a · inbound

Deep Learning to Improve the Sensitivity of Higgs Pair Searches in the $4b$ Channel at the LHC cites this paper.

Deep Learning to Improve the Sensitivity of Higgs Pair Searches in the $4b$ Channel at the LHC Probing triple Higgs coupling with machine learning at the LHC

Reference 142

Resolution
unresolved
no resolver link, observed 2026-08-15T23:34:16.330756Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:34:16.330756Z digest=sha256:c2767076313d66c74751758d13709d5d329cd038dbcbe0b3651077ec594f4900

Observation 580fd4b1-af3e-46d2-ad42-f29db9a99517 · inbound

Tagging fully hadronic exotic decays of the vectorlike $\mathbf{B}$ quark using a graph neural network cites this paper.

Tagging fully hadronic exotic decays of the vectorlike $\mathbf{B}$ quark using a graph neural network Probing triple Higgs coupling with machine learning at the LHC

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-15T22:15:54.753955Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:15:54.753955Z digest=sha256:c80058dfe700737bfde374f87d7c09148f97275bc574960bf1cf01b254c7cb32

Observation 8f06a18b-b3e9-4431-9116-2a96b9753bfc · inbound

AI-Driven Discovery of Information-Efficient Collider Observables for Interference Measurements cites this paper.

AI-Driven Discovery of Information-Efficient Collider Observables for Interference Measurements Probing triple Higgs coupling with machine learning at the LHC

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-06-30T20:35:02.954645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-06-30T20:27:43.631020Z digest=sha256:53da18e6ea08d7f00c45f439a74cfdce5bf9bc6ae8fbfa55f19b6ee341985571

Observation 58a73d7d-bbb8-43a1-a7e0-095d1af14413 · inbound

Kinematic Riffs and Interference Effects in Triple Higgs Production in the N2HDM cites this paper.

Kinematic Riffs and Interference Effects in Triple Higgs Production in the N2HDM Probing triple Higgs coupling with machine learning at the LHC

Reference 33

Resolution
verified exact
arxiv_id, observed 2026-07-02T09:06:49.682596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-06-28T05:37:07.733738Z digest=sha256:f69474dc382d28702711477668f3ee6fc7c3a22882132a9c8bfe61327d8cb211