Pith. sign in

Paper Citation Record · LEDGER

Generating and refining particle detector simulations using the Wasserstein distance in adversarial networks

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:1802.03325.

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

pith.paper-citation-record.v1
1802.03325 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T13:27:36.434928Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-03T08:57:48.032883Z

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 e5386b05-ac2a-4cb0-9273-cbbb8fad4528 · inbound

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

GPT-like transformer model for silicon tracking detector simulation Generating and refining particle detector simulations using the Wasserstein distance in adversarial networks

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-03T13:27:36.434928Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T13:27:36.434928Z digest=sha256:d80cb1d9887f8875313b44ec67f89764716b4eaad14400c10c83ca95c58bdc93

Observation 182a2a12-2dad-4c83-b7cb-56adb8bcea10 · 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 Generating and refining particle detector simulations using the Wasserstein distance in adversarial networks

Reference 9

Resolution
verified exact
local_arxiv, observed 2026-07-02T06:06:41.301957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-28T07:41:38.548022Z digest=sha256:3d527e2106e4dbdc4e01c3351437839cf26cdff69a3d67326d9e2617e892468b

Observation 520d8d32-9c31-4c89-9663-384158b962b4 · 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 Generating and refining particle detector simulations using the Wasserstein distance in adversarial networks

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-02T12:30:36.440137Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T12:30:36.440137Z digest=sha256:48406013be5c09030e4120af6c6d8fd850460b1c17529cea5a26dc3b9f43ef9e

Observation ddf1d1e4-a511-4f6c-a7c3-56423f34fde8 · inbound

Reweighting Adversarial Networks for Unbinned Unfolding cites this paper.

Reweighting Adversarial Networks for Unbinned Unfolding Generating and refining particle detector simulations using the Wasserstein distance in adversarial networks

Reference 50

Resolution
verified exact
local_arxiv, observed 2026-07-02T14:27:03.827132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-28T00:28:42.520230Z digest=sha256:06af0f7d264b8afa3b93041dbf9392dd908283240c3c50c96aaeaa1c5af9d0e7

Observation e0ce7d33-bbde-477e-99de-1d2bf9bc3277 · 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 Generating and refining particle detector simulations using the Wasserstein distance in adversarial networks

Reference 7

Resolution
verified exact
local_arxiv, observed 2026-07-03T08:57:48.034161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-27T10:36:31.177334Z digest=sha256:e7798402f82fdda0fdfa2ac806ac0c8f0ac7c32d5a0d30e761440bd0f60620b5