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Paper Citation Record · LEDGER

Constraining the Higgs Potential with Neural Simulation-based Inference for Di-Higgs Production

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2405.15847.

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

pith.paper-citation-record.v1
2405.15847 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:52:19.051456Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T06:37:42.471800Z

Reference resolution

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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 8f750a8f-d194-4efb-a91a-60a95dfff633 · inbound

Communicating Likelihoods with Normalising Flows cites this paper.

Communicating Likelihoods with Normalising Flows Constraining the Higgs Potential with Neural Simulation-based Inference for Di-Higgs Production

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-07T21:21:44.411732Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation c6c6f715-405a-4107-99e3-282fdf1342f3 · inbound

A Multiplicative Formulation of the Higgs Lagrangian and the Fermion Mass Hierarchy between the charged leptons and heavy quarks cites this paper.

A Multiplicative Formulation of the Higgs Lagrangian and the Fermion Mass Hierarchy between the charged leptons and heavy quarks Constraining the Higgs Potential with Neural Simulation-based Inference for Di-Higgs Production

Reference 54

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 097d364b-080c-43bb-9c5e-96bc8e2be706 · inbound

Toward an event-level analysis of hadron structure using differential programming cites this paper.

Toward an event-level analysis of hadron structure using differential programming Constraining the Higgs Potential with Neural Simulation-based Inference for Di-Higgs Production

Reference 35

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unresolved
no resolver link, observed 2026-08-06T15:29:51.996948Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 14178335-d9b3-4f7d-a773-3d6a49f1dc41 · inbound

Higgs Signal Strength Estimation with Machine Learning under Systematic Uncertainties cites this paper.

Higgs Signal Strength Estimation with Machine Learning under Systematic Uncertainties Constraining the Higgs Potential with Neural Simulation-based Inference for Di-Higgs Production

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-05T13:28:03.714948Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation d24ccd3c-d5ec-4f06-a108-abc0d5612dba · inbound

Unbinning global LHC analyses cites this paper.

Unbinning global LHC analyses Constraining the Higgs Potential with Neural Simulation-based Inference for Di-Higgs Production

Reference 21

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 068c85d4-e11d-4fe0-9b81-73277450a371 · inbound

Many Wrongs Make a Right: Leveraging Biased Simulations Towards Unbiased Parameter Inference cites this paper.

Many Wrongs Make a Right: Leveraging Biased Simulations Towards Unbiased Parameter Inference Constraining the Higgs Potential with Neural Simulation-based Inference for Di-Higgs Production

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-05-13T21:13:16.609249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation bae52b26-18bb-46af-b092-70557786602d · inbound

Matrix element method at NLO: A fine proof of concept in POWHEG cites this paper.

Matrix element method at NLO: A fine proof of concept in POWHEG Constraining the Higgs Potential with Neural Simulation-based Inference for Di-Higgs Production

Reference 56

Resolution
verified exact
arxiv_id, observed 2026-07-03T06:37:42.473468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-27T12:36:57.710877Z digest=sha256:5648e9eb042177500af6d80443afcb507e18dfc77bc610a694b9b15682b6635a

Observation 621d3de1-b611-4b22-98dc-32638ba390b2 · inbound

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

Agentic Re-Casting using Agentic Re-Simulations Constraining the Higgs Potential with Neural Simulation-based Inference for Di-Higgs Production

Reference 132

Resolution
unresolved
no resolver link, observed 2026-08-01T04:29:10.082249Z

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Unavailable: canonical work link unavailable.

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Observation cd7ab5fd-40fd-419a-a652-4fe33e9f175f · inbound

Neural Control Variates at LO and NLO cites this paper.

Neural Control Variates at LO and NLO Constraining the Higgs Potential with Neural Simulation-based Inference for Di-Higgs Production

Reference 34

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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