Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Partition function approach to non-Gaussian likelihoods: macrocanonical partitions and replicating Markov-chains
As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2311.16218.
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 2026-08-17T06:30:58.91139+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T16:42:22.054904Z
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
0
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 13275533-d7ac-46b1-8ebb-5bd1d57a498c · inbound
Partition function approach to non-Gaussian likelihoods: information theory and state variables for Bayesian inference cites this paper.
Partition function approach to non-Gaussian likelihoods: information theory and state variables for Bayesian inference Partition function approach to non-Gaussian likelihoods: macrocanonical partitions and replicating Markov-chains
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T16:42:22.054904Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7428f899-af8b-4532-9365-f59d74390713 · inbound
Approximating non-Gaussian Bayesian partitions with normalising flows: statistics, inference and application to cosmology cites this paper.
Approximating non-Gaussian Bayesian partitions with normalising flows: statistics, inference and application to cosmology Partition function approach to non-Gaussian likelihoods: macrocanonical partitions and replicating Markov-chains
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:29:10.547364Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0a57dbad-3a6a-4de8-9beb-6c2ecee0215f · inbound
First full-shape joint analysis of the two- and three-point correlation functions on real data: $\Lambda$CDM cosmological constraints from BOSS DR12 cites this paper.
First full-shape joint analysis of the two- and three-point correlation functions on real data: $\Lambda$CDM cosmological constraints from BOSS DR12 Partition function approach to non-Gaussian likelihoods: macrocanonical partitions and replicating Markov-chains
Reference 290
- Resolution
- verified exact
- arxiv_id, observed 2026-06-26T01:38:51.795213Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.