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Paper Citation Record · LEDGER

Neural Networks for Full Phase-space Reweighting and Parameter Tuning

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:1907.08209.

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

pith.paper-citation-record.v1
1907.08209 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:56:57.331476Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-14T05:24:55.073162Z

Reference resolution

0 of 0 outbound references displayed

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  • verified fuzzy0
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  • 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 5ec8730c-308b-427b-bcb1-01a998053c07 · inbound

Mass Agnostic Jet Taggers cites this paper.

Mass Agnostic Jet Taggers Neural Networks for Full Phase-space Reweighting and Parameter Tuning

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-14T11:29:06.551325Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T11:29:06.551325Z digest=sha256:3c6248b9861e8064d84e7d3af441af61b0d2d1824be0f252f002254f8f7df659

Observation 54ccf9e6-7809-4dd5-91fa-39996239b90c · inbound

High dimensional parameter tuning for event generators cites this paper.

High dimensional parameter tuning for event generators Neural Networks for Full Phase-space Reweighting and Parameter Tuning

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-14T10:38:51.476599Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T10:38:51.476599Z digest=sha256:83fa5abe3b52f4e65315fdb5a835930d44281c5f7c4f4ca0e7ebbdac96e2feb9

Observation dadae575-2d4a-42c3-bc27-d3f23c5bfa9e · inbound

Lund jet images from generative and cycle-consistent adversarial networks cites this paper.

Lund jet images from generative and cycle-consistent adversarial networks Neural Networks for Full Phase-space Reweighting and Parameter Tuning

Reference 64

Resolution
verified exact
local_arxiv, observed 2026-08-14T05:24:55.078371Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T05:24:54.983939Z digest=sha256:16bfe9a29fc3abc0e0094d40b8e8b9ef735735a093a4a61c212f5d61a1de55dc

Observation 844eb83e-0fdb-4bce-8a04-c0f2c0127982 · inbound

Bayesian Optimization of Pythia8 Tunes cites this paper.

Bayesian Optimization of Pythia8 Tunes Neural Networks for Full Phase-space Reweighting and Parameter Tuning

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-15T20:56:57.331476Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:56:57.331476Z digest=sha256:5b39611c98454ae9cc5d7fc9d4e299cdfc431b8d93b6516c037dca1a3c432415

Observation 6fd73552-0a6d-4107-ba36-a5e1f48924ba · inbound

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

Higgs Signal Strength Estimation with Machine Learning under Systematic Uncertainties Neural Networks for Full Phase-space Reweighting and Parameter Tuning

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-05T13:28:03.615863Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:28:03.615863Z digest=sha256:dd99ff19e40305f17dbe1ed3c4216cda14d97cea7c500f2145a43617925f770e

Observation d9ab3094-186d-4130-a4d8-ea99b5b91a05 · inbound

The Well-Tempered Likelihood: Honest Confidence Intervals for Misspecified Models cites this paper.

The Well-Tempered Likelihood: Honest Confidence Intervals for Misspecified Models Neural Networks for Full Phase-space Reweighting and Parameter Tuning

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-01T09:39:51.223888Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T09:39:51.223888Z digest=sha256:3fe316beb763e8a67a3464d0f7a087cf0810f437321f891adc283cf521fe5935