Paper Citation Record · LEDGER

Modern Machine Learning for LHC Physicists

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 18 inbound Pith citation observations for arXiv:2211.01421.

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

pith.paper-citation-record.v1
2211.01421 v4

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measured 0 of 0 reference resolution

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measured 18 of 18 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 18 of 18 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:14:53.388308Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T19:58:54.821017Z

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Outbound references

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Pith citing papers

Observation db742c2e-3bfe-4023-887d-a57b9c47f3ad · inbound

Probing Neutral Triple Gauge Couplings via $ZZ$ Production at $e^+e^-$ Colliders with Machine Learning cites this paper.

Probing Neutral Triple Gauge Couplings via $ZZ$ Production at $e^+e^-$ Colliders with Machine Learning Modern Machine Learning for LHC Physicists

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-19T07:47:09.380995Z

Source-reported events for the cited work

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Observation 8e8de3b2-b149-4e3d-ac05-9aa8112da278 · inbound

High-Dimensional Unfolding in Large Backgrounds cites this paper.

High-Dimensional Unfolding in Large Backgrounds Modern Machine Learning for LHC Physicists

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-06T19:14:53.388308Z

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Observation fd7d1ebc-b03c-4cf7-8102-56c413255892 · inbound

Simulation-Prior Independent Neural Unfolding Procedure cites this paper.

Simulation-Prior Independent Neural Unfolding Procedure Modern Machine Learning for LHC Physicists

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-06T15:48:41.560529Z

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Unavailable: canonical work link unavailable.

Observation e1093003-4feb-4de5-9759-64ff2a184301 · inbound

Amplitude Uncertainties Everywhere All at Once cites this paper.

Amplitude Uncertainties Everywhere All at Once Modern Machine Learning for LHC Physicists

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-18T19:21:47.170854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 23e04b94-eaae-4099-ac84-d464077acc90 · inbound

Machine Learning in the 2HDM2S model for Dark Matter cites this paper.

Machine Learning in the 2HDM2S model for Dark Matter Modern Machine Learning for LHC Physicists

Reference 55

Resolution: verified exact; arxiv_id, observed 2026-05-18T19:21:47.314819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 50ddfc27-0ac2-4e3b-bb8b-5b95dbe89720 · inbound

Towards Precise Simulations and Inference for the Neutron EDM cites this paper.

Towards Precise Simulations and Inference for the Neutron EDM Modern Machine Learning for LHC Physicists

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-05T11:28:23.307340Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db57ec9e-8515-4f9f-be2c-4864a0691172 · inbound

Unbinning global LHC analyses cites this paper.

Unbinning global LHC analyses Modern Machine Learning for LHC Physicists

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-05T05:29:30.440212Z

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Observation e2387328-d9d7-4dce-921b-48d76af05873 · inbound

Shedding Light on Dark Matter at the LHC with Machine Learning cites this paper.

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

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-04T16:19:45.649652Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2e20d4aa-eca8-481b-ab32-feda58b3eaf1 · inbound

Explicit or Implicit? Encoding Physics at the Precision Frontier cites this paper.

Explicit or Implicit? Encoding Physics at the Precision Frontier Modern Machine Learning for LHC Physicists

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-03T02:35:28.969609Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1b553809-3ac9-4d03-a9ab-b8d1f14e0ac7 · inbound

Uncovering Hidden Systematics in Neural Network Models for High Energy Physics cites this paper.

Uncovering Hidden Systematics in Neural Network Models for High Energy Physics Modern Machine Learning for LHC Physicists

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-11T03:50:55.919170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 5f586986-e7ae-4f66-a075-1ae450142a23 · inbound

RooAgent: An LLM Agent for Root-Based High Energy Physics Analysis cites this paper.

RooAgent: An LLM Agent for Root-Based High Energy Physics Analysis Modern Machine Learning for LHC Physicists

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-20T13:33:19.085504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e29d8e0b-d8e5-43e8-8f55-110b913a4cf0 · inbound

Nested-GPT for variable-multiplicity parton showers: A case study in the resummation of non-global logarithms cites this paper.

Nested-GPT for variable-multiplicity parton showers: A case study in the resummation of non-global logarithms Modern Machine Learning for LHC Physicists

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-20T09:43:10.712131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation acede444-1769-41bc-95ec-ff79b19ea4df · inbound

Nested-GPT for variable-multiplicity parton showers: A case study in the resummation of non-global logarithms cites this paper.

Nested-GPT for variable-multiplicity parton showers: A case study in the resummation of non-global logarithms Modern Machine Learning for LHC Physicists

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-21T08:09:51.515437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 977aacf4-ba47-47c2-835f-85bfb778c5bf · inbound

EasyScan_HEP 2: Agent-Ready Parameter Scans for High-Energy Physics cites this paper.

EasyScan_HEP 2: Agent-Ready Parameter Scans for High-Energy Physics Modern Machine Learning for LHC Physicists

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-07-01T10:45:42.228976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 629274d5-617f-4208-a8b4-a4ac1c3a111e · inbound

Local Conformal Predictions for Calibrated Surrogates cites this paper.

Local Conformal Predictions for Calibrated Surrogates Modern Machine Learning for LHC Physicists

Reference 104

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T19:58:54.822352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation dadb907a-a916-4e42-9890-87d253940586 · inbound

Agentic Re-Casting using Agentic Re-Simulations cites this paper.

Agentic Re-Casting using Agentic Re-Simulations Modern Machine Learning for LHC Physicists

Reference 151

Resolution: unresolved; no resolver link, observed 2026-08-01T04:29:12.546672Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 37258007-0434-417c-88c4-bf160a5c7686 · inbound

Neural Control Variates at LO and NLO cites this paper.

Neural Control Variates at LO and NLO Modern Machine Learning for LHC Physicists

Reference 53

Resolution: unresolved; no resolver link, observed 2026-07-30T18:12:21.676071Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2a38d2a4-21b4-49ae-81c9-72083da71f59 · inbound

Simplex Demixing: Disentangling Multiple Light-Flavor Jets at Colliders cites this paper.

Simplex Demixing: Disentangling Multiple Light-Flavor Jets at Colliders Modern Machine Learning for LHC Physicists

Reference 44

Resolution: unresolved; no resolver link, observed 2026-07-31T05:57:07.783817Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.