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Paper Citation Record · LEDGER

Optimization Using Pathwise Algorithmic Derivatives of Electromagnetic Shower Simulations

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2405.07944.

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

pith.paper-citation-record.v1
2405.07944 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 2026-08-16T06:30:59.297886+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T14:39:56.501761Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T19:58:54.818945Z

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 6a081fc9-e236-4d13-adb3-129ca49851f7 · inbound

Local Conformal Predictions for Calibrated Surrogates cites this paper.

Local Conformal Predictions for Calibrated Surrogates Optimization Using Pathwise Algorithmic Derivatives of Electromagnetic Shower Simulations

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-07-03T19:58:54.820398Z

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=arxiv_source observed=2026-07-03T19:29:34.070294Z digest=sha256:f74162a8d4aa8d1db528884c2fc61ff66ceb1409431e812ec53634a707389648

Observation 8d000d2b-dc9d-4090-bcd6-2caf511a3b3f · inbound

Generative Amplification with Surrogate Monte Carlo cites this paper.

Generative Amplification with Surrogate Monte Carlo Optimization Using Pathwise Algorithmic Derivatives of Electromagnetic Shower Simulations

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-15T14:39:56.501761Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:39:56.501761Z digest=sha256:6123375f1a8f763611332f4705151532dc3a0803ae2de32ebc6c9f614944cec5