Paper Citation Record · LEDGER

GANplifying Event Samples

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 16 inbound Pith citation observations for arXiv:2008.06545.

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

pith.paper-citation-record.v1
2008.06545 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 16 of 16 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T14:39:57.164702Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T19:58:54.622710Z

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 5fccbbc0-6ab8-4312-92fa-ec5fbcb81c0d · inbound

How to Unfold Top Decays cites this paper.

How to Unfold Top Decays GANplifying Event Samples

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-10T17:18:46.019000Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 102dfba7-4980-496f-832f-858a83fdf7aa · 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 GANplifying Event Samples

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-08T11:07:33.072144Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 90d0a69c-a573-45ed-9cb4-4e389d024238 · inbound

Amplitude Uncertainties Everywhere All at Once cites this paper.

Amplitude Uncertainties Everywhere All at Once GANplifying Event Samples

Reference 53

Resolution: verified exact; arxiv_id, observed 2026-05-18T19:21:46.860803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a8dbfafa-f023-46f2-a9b8-1e706e021d9e · inbound

Forecasting Generative Amplification cites this paper.

Forecasting Generative Amplification GANplifying Event Samples

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-04T21:31:21.749943Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b9158b39-ad01-46b8-b3bd-6587112a3dd7 · inbound

GPT-like transformer model for silicon tracking detector simulation cites this paper.

GPT-like transformer model for silicon tracking detector simulation GANplifying Event Samples

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-03T13:27:36.454250Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fe0b90a4-9c93-481a-969a-ae54ba67b599 · inbound

A universal vision transformer for fast calorimeter simulations cites this paper.

A universal vision transformer for fast calorimeter simulations GANplifying Event Samples

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-03T12:08:16.166244Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c4df9b72-44e0-43fb-ab9e-411f91341c93 · inbound

Nested-GPT for variable-multiplicity parton showers: A case study in the resummation of non-global logarithms cites this paper.

Nested-GPT for variable-multiplicity parton showers: A case study in the resummation of non-global logarithms GANplifying Event Samples

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-20T09:43:10.823795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7d84862d-8387-4bd9-893c-e21595f51eaa · inbound

Nested-GPT for variable-multiplicity parton showers: A case study in the resummation of non-global logarithms cites this paper.

Nested-GPT for variable-multiplicity parton showers: A case study in the resummation of non-global logarithms GANplifying Event Samples

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-21T08:09:51.493569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8f5eba21-0e0e-4c99-bad0-6493c40c7a79 · inbound

CaloTrilogy: Toward a Breakthrough in One-Step, End-to-End, Physics-Guided Shower Generation for Modern Calorimeters cites this paper.

CaloTrilogy: Toward a Breakthrough in One-Step, End-to-End, Physics-Guided Shower Generation for Modern Calorimeters GANplifying Event Samples

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-07-02T06:06:41.227718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f8519b9f-ae25-4534-bcd9-93e4cb921b5a · inbound

CaloTrilogy: Toward a Breakthrough in One-Step, End-to-End, Physics-Guided Shower Generation for Modern Calorimeters cites this paper.

CaloTrilogy: Toward a Breakthrough in One-Step, End-to-End, Physics-Guided Shower Generation for Modern Calorimeters GANplifying Event Samples

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-02T12:30:36.885193Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 020ab160-cc13-4b5c-9c3c-afc593de3a42 · inbound

SPADE: Split-and-Delay Embeddings for Autoregressive High-Granularity Calorimeter Simulation cites this paper.

SPADE: Split-and-Delay Embeddings for Autoregressive High-Granularity Calorimeter Simulation GANplifying Event Samples

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-07-03T08:57:47.977896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 740d41f5-3a06-4cda-93dc-710c90e6bfe2 · inbound

Local Conformal Predictions for Calibrated Surrogates cites this paper.

Local Conformal Predictions for Calibrated Surrogates GANplifying Event Samples

Reference 175

Resolution: verified exact; arxiv_id, observed 2026-07-03T19:58:54.624145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation cb6afeb9-bb96-481a-b3e1-768d904d4cac · inbound

Agentic Re-Casting using Agentic Re-Simulations cites this paper.

Agentic Re-Casting using Agentic Re-Simulations GANplifying Event Samples

Reference 182

Resolution: unresolved; no resolver link, observed 2026-08-01T04:29:16.840814Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3083c312-d76d-484b-85e5-c327d654e746 · inbound

Neural Control Variates at LO and NLO cites this paper.

Neural Control Variates at LO and NLO GANplifying Event Samples

Reference 84

Resolution: unresolved; no resolver link, observed 2026-07-30T18:12:21.876567Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a4b2e163-127d-4e57-b41b-b9d7e0006757 · inbound

Machine Learning is Good for Physics - and Vice Versa cites this paper.

Machine Learning is Good for Physics - and Vice Versa GANplifying Event Samples

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-07T23:04:30.408897Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d100ac19-b18d-4909-8633-00b89260468c · inbound

Generative Amplification with Surrogate Monte Carlo cites this paper.

Generative Amplification with Surrogate Monte Carlo GANplifying Event Samples

Reference 163

Resolution: unresolved; no resolver link, observed 2026-08-15T14:39:57.164702Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.