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Paper Citation Record · LEDGER

Likelihood-Free Inference with Generative Neural Networks via Scoring Rule Minimization

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2205.15784.

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

pith.paper-citation-record.v1
2205.15784 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:42:34.992879Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T22:45:50.897110Z

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 67df682e-d082-44ce-8671-f66126d77ac9 · inbound

Modeling Spatial Extremal Dependence of Precipitation Using Distributional Neural Networks cites this paper.

Modeling Spatial Extremal Dependence of Precipitation Using Distributional Neural Networks Likelihood-Free Inference with Generative Neural Networks via Scoring Rule Minimization

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-23T22:45:50.900409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-23T22:43:48.396816Z digest=sha256:28f943874980b52d07a2263cc82dc53e1c929632c94ff31451d6b38dad48a1ef

Observation 76176dee-a092-4d4c-b408-958f0af311a5 · inbound

Likelihood-Free Variational Autoencoders cites this paper.

Likelihood-Free Variational Autoencoders Likelihood-Free Inference with Generative Neural Networks via Scoring Rule Minimization

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-16T10:42:34.992879Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:42:34.992879Z digest=sha256:db55795d52a6b336ee0fe2168ac4edc939f23e3dbceb9beada2dd80618477627

Observation 96e78ea2-aa46-438e-ad0d-31167e781a3b · inbound

Fast Text-to-Audio Generation with One-Step Sampling via Energy-Scoring and Auxiliary Contextual Representation Distillation cites this paper.

Fast Text-to-Audio Generation with One-Step Sampling via Energy-Scoring and Auxiliary Contextual Representation Distillation Likelihood-Free Inference with Generative Neural Networks via Scoring Rule Minimization

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-05-11T15:46:42.685402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-09T19:17:09.247932Z digest=sha256:7b81b63b8de908dcc9dfcf8589486b581494fca675a373305f096de89ee599d2