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Paper Citation Record · LEDGER

GATSBI: Generative Adversarial Training for Simulation-Based Inference

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2203.06481.

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

pith.paper-citation-record.v1
2203.06481 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 2026-08-06T06:34:29.942622+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-17T21:48:16.145181Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

6
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation afd356ca-c0ba-47f2-aaed-c212dc52fe22 · inbound

Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution cites this paper.

Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution GATSBI: Generative Adversarial Training for Simulation-Based Inference

Reference 271

Resolution
metadata mismatch
arxiv_id, observed 2026-05-16T08:12:31.154394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-16T08:12:30.984870Z digest=sha256:7718dcab512a810b3a9a9b52b18e5c82a4d8a628bfa13c55bb932306a6b0398d

Observation d1d68b05-348c-4d45-b394-bfb42f88f39d · inbound

Fast and Robust Simulation-Based Inference With Optimization Monte Carlo cites this paper.

Fast and Robust Simulation-Based Inference With Optimization Monte Carlo GATSBI: Generative Adversarial Training for Simulation-Based Inference

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-17T21:50:19.681103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-17T21:48:16.145181Z digest=sha256:3f8680d50881dcbcc2daa98ff42724244ff6477207999fde93150b6f0f9f5bb5