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Paper Citation Record · LEDGER

An efficient Monte Carlo method for valid prior-free possibilistic statistical inference

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2501.10585.

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

pith.paper-citation-record.v1
2501.10585 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 2026-08-11T06:34:44.6726+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T14:58:32.773672Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T04:42:04.483473Z

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 d4400beb-53de-4c8c-86b9-a048e695933c · 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 An efficient Monte Carlo method for valid prior-free possibilistic statistical inference

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-10T14:58:32.773672Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T14:58:32.773672Z digest=sha256:46832bd8a56ed3d6401589bdc3357b3e16f8baa93ff818b45259091002831d11

Observation e62e9d9f-a8a6-4661-bb5d-8e331843c0bc · inbound

Possibilistic inferential models: a review cites this paper.

Possibilistic inferential models: a review An efficient Monte Carlo method for valid prior-free possibilistic statistical inference

Reference 102

Resolution
verified exact
arxiv_id, observed 2026-05-19T04:42:04.485967Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-19T04:38:25.325075Z digest=sha256:8615e7fcba58444a661623dc75e322da474cac4ec99c035e6c40fa946fa84569