Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Valid and efficient imprecise-probabilistic inference with partial priors, III. Marginalization
As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2309.13454.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T17:22:34.957069Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-23T20:23:24.689516Z
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 ad7bb079-f4bc-471d-8a99-768d347660fa · inbound
Regularized e-processes: anytime valid inference with knowledge-based efficiency gains cites this paper.
Regularized e-processes: anytime valid inference with knowledge-based efficiency gains Valid and efficient imprecise-probabilistic inference with partial priors, III. Marginalization
Reference 37
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T20:23:24.692801Z
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.
Observation 0d561dfa-10f8-4fae-80f2-6f5ffb649d2a · inbound
Asymptotic efficiency of inferential models and a possibilistic Bernstein--von Mises theorem cites this paper.
Asymptotic efficiency of inferential models and a possibilistic Bernstein--von Mises theorem Valid and efficient imprecise-probabilistic inference with partial priors, III. Marginalization
Reference 61
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T16:25:05.574923Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1c1fc69e-4c87-4745-ae78-33f5a32ea0cd · inbound
The typicality principle and its implications for statistics and data science cites this paper.
The typicality principle and its implications for statistics and data science Valid and efficient imprecise-probabilistic inference with partial priors, III. Marginalization
Reference 46
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T14:58:32.760328Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d1c68af5-d7cd-47ce-a852-ebef6c8fa479 · inbound
Possibilistic inferential models: a review cites this paper.
Possibilistic inferential models: a review Valid and efficient imprecise-probabilistic inference with partial priors, III. Marginalization
Reference 99
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T04:42:04.481422Z
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.
Observation f1cecd95-fbae-4285-af4b-ae48b422198a · inbound
An Improved Solution to the Two Normal Means Problem via Regularization cites this paper.
An Improved Solution to the Two Normal Means Problem via Regularization Valid and efficient imprecise-probabilistic inference with partial priors, III. Marginalization
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T17:22:34.957069Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.