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Paper Citation Record · LEDGER

Amortized Bayesian Multilevel Models

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2408.13230.

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

pith.paper-citation-record.v1
2408.13230 v3

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 2026-08-19T06:32:44.657259+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:47:54.274999Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-10T01:10:09.276439Z

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 be3e9804-37ec-42e9-91f5-474132686f37 · inbound

A Scalable Exponential Random Graph Model: Amortised Hierarchical Sequential Neural Posterior Estimation with Applications in Neuroscience cites this paper.

A Scalable Exponential Random Graph Model: Amortised Hierarchical Sequential Neural Posterior Estimation with Applications in Neuroscience Amortized Bayesian Multilevel Models

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-07T10:47:54.274999Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:47:54.274999Z digest=sha256:fcf927221af1c651858a5c92f9f4eb75bc4c81c77504a247da28fe961dcd6f53

Observation 6478fa5d-271b-442a-a03f-0d4fbb5cb7a4 · inbound

Tokenised Flow Matching for Hierarchical Simulation Based Inference cites this paper.

Tokenised Flow Matching for Hierarchical Simulation Based Inference Amortized Bayesian Multilevel Models

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-10T01:10:09.277686Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-10T01:08:09.235936Z digest=sha256:5c7abd55c11f1b2ea637ff5495e87d859a55696a7110b3d65facb77b917d3c1f