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Paper Citation Record · LEDGER

Sequential Neural Methods for Likelihood-free Inference

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1811.08723.

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

pith.paper-citation-record.v1
1811.08723 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 2026-08-14T06:32:32.682623+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T17:23:18.075845Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T12:21:07.318354Z

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 56f8963d-632c-4374-a5bd-22f15e9debbd · inbound

LazyDINO: Fast, scalable, and efficiently amortized Bayesian inversion via structure-exploiting and surrogate-driven measure transport cites this paper.

LazyDINO: Fast, scalable, and efficiently amortized Bayesian inversion via structure-exploiting and surrogate-driven measure transport Sequential Neural Methods for Likelihood-free Inference

Reference 82

Resolution
unresolved
no resolver link, observed 2026-08-12T17:23:18.075845Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:23:18.075845Z digest=sha256:21fc8918720fec12d0119bf7bd1f843154e2cf4772187e6465c8648b44695d48

Observation 7c8b7ff3-b103-48f6-8e3e-fa4cf9dcd23c · inbound

Overcoming Selection Bias in Statistical Studies With Amortized Bayesian Inference cites this paper.

Overcoming Selection Bias in Statistical Studies With Amortized Bayesian Inference Sequential Neural Methods for Likelihood-free Inference

Reference 79

Resolution
verified exact
arxiv_id, observed 2026-07-04T23:12:58.238097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-10T03:44:56.127279Z digest=sha256:baa8191d0ef1f3531702e588edd9ef7e690a83d0624e828edbb254d5afc4435b