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Paper Citation Record · LEDGER

Machine Learning for the LHCb Simulation

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2110.07925.

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

pith.paper-citation-record.v1
2110.07925 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T14:39:56.947035Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T19:38:53.023748Z

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 45835d78-92ff-412f-ae0d-3ceaed8e9d00 · inbound

Local Conformal Predictions for Calibrated Surrogates cites this paper.

Local Conformal Predictions for Calibrated Surrogates Machine Learning for the LHCb Simulation

Reference 128

Resolution
verified exact
arxiv_id, observed 2026-07-03T19:38:53.025933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-07-03T19:29:34.070294Z digest=sha256:f99015af2559e5663859ef3fa1b487b657366cec6cd1f31fece602d2a4b4bc02

Observation c7037260-c427-416c-9c02-3a15b1fc092b · inbound

Are We Ready for AI-Driven Discovery? AI Verification Before the Next Fundamental Physics Breakthrough cites this paper.

Are We Ready for AI-Driven Discovery? AI Verification Before the Next Fundamental Physics Breakthrough Machine Learning for the LHCb Simulation

Reference 53

Resolution
unresolved
no resolver link, observed 2026-07-14T00:50:24.285797Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-14T00:50:24.285797Z digest=sha256:2c175e9a8c8666711e0de5d1bba7e865402306476485dfa012fb94b452d7e45d

Observation b06ac996-4836-4e50-90d2-8e62efa7d66d · inbound

Generative Amplification with Surrogate Monte Carlo cites this paper.

Generative Amplification with Surrogate Monte Carlo Machine Learning for the LHCb Simulation

Reference 116

Resolution
unresolved
no resolver link, observed 2026-08-15T14:39:56.947035Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:39:56.947035Z digest=sha256:ca4eb335857334b90776af78c5048abd075c84d64df955b8f4ec1e6d9c238129