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Paper Citation Record · LEDGER

Exploring SMEFT in VH with Machine Learning

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1902.05803.

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

pith.paper-citation-record.v1
1902.05803 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T12:38:02.468180Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-14T11:29:27.826467Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

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 f55144ee-cdd4-4aa5-b5e3-e97e7c20d483 · inbound

Benchmarking simplified template cross sections in $WH$ production cites this paper.

Benchmarking simplified template cross sections in $WH$ production Exploring SMEFT in VH with Machine Learning

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-14T12:38:02.468180Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T12:38:02.468180Z digest=sha256:37601369722048423d6045d07f8298dc20044d2fc6d3a14dca424aec5a7ea224

Observation e26a8da6-687a-4220-9e64-f80ab4fb6e3f · inbound

Exploring anomalous couplings in Higgs boson pair production through shape analysis cites this paper.

Exploring anomalous couplings in Higgs boson pair production through shape analysis Exploring SMEFT in VH with Machine Learning

Reference 100

Resolution
verified exact
local_arxiv, observed 2026-08-14T11:29:27.833231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T11:29:27.634069Z digest=sha256:38b001e099423fd7c89a4b7bef1de13d1f17574bbf29f9619b49b317bc62ddb0