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Paper Citation Record · LEDGER

Reducing negative weights in Monte Carlo event generation with Sherpa

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2110.15211.

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

pith.paper-citation-record.v1
2110.15211 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 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 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T11:07:57.156183Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T02:36:42.764940Z

Reference resolution

0 of 0 outbound references displayed

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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 5c7e9ccf-2987-4589-976a-d8d1f67b7499 · inbound

ARCANE Reweighting: A Monte Carlo Technique to Tackle the Negative Weights Problem in Collider Event Generation cites this paper.

ARCANE Reweighting: A Monte Carlo Technique to Tackle the Negative Weights Problem in Collider Event Generation Reducing negative weights in Monte Carlo event generation with Sherpa

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-08T11:07:32.968900Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T11:07:32.968900Z digest=sha256:97b21bebc29ba8495ae9d9daae093c72e6817bf050ac36377fdcb8abca3bcac8

Observation bbd7cf0b-06a8-4188-9545-6f66f70c187f · inbound

A Demonstration of ARCANE Reweighting: Reducing the Sign Problem in the MC@NLO Generation of $e^+ e^- \rightarrow q \bar{q} + 1\, jet$ Events cites this paper.

A Demonstration of ARCANE Reweighting: Reducing the Sign Problem in the MC@NLO Generation of $e^+ e^- \rightarrow q \bar{q} + 1\, jet$ Events Reducing negative weights in Monte Carlo event generation with Sherpa

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-08T11:07:57.156183Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T11:07:57.156183Z digest=sha256:40804b8b8d6913bfd4ab8700ec384943335c0126f471c00e5e26e097d6914665

Observation 0ed1a4ac-76fe-428f-960e-77d7b7a3c993 · inbound

Stay Positive: Neural Refinement of Sample Weights cites this paper.

Stay Positive: Neural Refinement of Sample Weights Reducing negative weights in Monte Carlo event generation with Sherpa

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-22T15:54:58.118560Z

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=pdf_text observed=2026-05-22T15:53:32.606106Z digest=sha256:b2626de520f1e7f69f18cd64ecfc60b55e34a985ee0f7574d3520626a5568e06

Observation 47a9bf8e-a360-4316-9a20-28bc64de9d2d · inbound

Precision Cell Resampling with a Relative and Resonant Aware Metric cites this paper.

Precision Cell Resampling with a Relative and Resonant Aware Metric Reducing negative weights in Monte Carlo event generation with Sherpa

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-14T18:32:34.624302Z

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=pdf_text observed=2026-05-14T18:30:25.454013Z digest=sha256:690ec2c1acc34e783ae0b37ffd10b4f45c846dbb6da79ff10258864983bebad2

Observation 536ef9ed-e348-41a8-920e-e86d668e26b0 · inbound

The Monte Carlo Ecosystem in High-Energy Physics: A Primer cites this paper.

The Monte Carlo Ecosystem in High-Energy Physics: A Primer Reducing negative weights in Monte Carlo event generation with Sherpa

Reference 299

Resolution
metadata mismatch
arxiv_id, observed 2026-05-20T16:38:40.091163Z

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=2026-05-20T16:34:07.082712Z digest=sha256:14f49ffaf7bf413e607d007e175706dedc7038c2d7bb31945f16aef9e68cceda

Observation 4e1dd279-9752-4bc9-a0ae-023083841e3a · 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 Reducing negative weights in Monte Carlo event generation with Sherpa

Reference 99

Resolution
verified exact
arxiv_id, observed 2026-07-03T06:37:42.504977Z

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=pdf_text observed=2026-06-27T12:36:57.710877Z digest=sha256:1ec668fd132f7629de65892d7422a8ed3874737289bf0559d37f6ff4c2859315

Observation c3a93b48-310a-4c3e-ab1b-ce2554df00b6 · inbound

A resonance-aware MC@NLO QCD+EW-matched calculation of lepton-pair production cites this paper.

A resonance-aware MC@NLO QCD+EW-matched calculation of lepton-pair production Reducing negative weights in Monte Carlo event generation with Sherpa

Reference 43

Resolution
verified exact
local_arxiv, observed 2026-07-08T18:05:18.263560Z

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=pdf_text observed=2026-07-08T17:59:51.514877Z digest=sha256:898fbcf526cffb10eb7d90d9ca0ad804f0e1e6426a25335062a16c3df1c99bb6

Observation df0f7f6f-9c88-41ca-9178-6272a3b8fe67 · inbound

Optimal-Transport-Based Cell Resampling for Negative and Pathological Event Weights cites this paper.

Optimal-Transport-Based Cell Resampling for Negative and Pathological Event Weights Reducing negative weights in Monte Carlo event generation with Sherpa

Reference 60

Resolution
verified exact
local_arxiv, observed 2026-07-10T02:36:42.766536Z

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=pdf_text observed=2026-07-10T02:30:13.200305Z digest=sha256:4fdc19895d4b317cb57b8a73d7151baaf7c950dc9f71ac3eaeba55198dfd2358