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Paper Citation Record · LEDGER

Valid and efficient imprecise-probabilistic inference with partial priors, I. First results

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2203.06703.

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

pith.paper-citation-record.v1
2203.06703 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T14:58:32.743650Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T20:23:24.695383Z

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 9a4dbe79-c3ec-4a97-bf95-fc80d9ad4737 · 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, I. First results

Reference 35

Resolution
verified exact
arxiv_id, observed 2026-05-23T20:23:24.701228Z

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=2026-05-23T20:21:01.456615Z digest=sha256:e96b50ede4600dea6674afc34cd192b6b117618e3eb024a152e6bca564dd24b3

Observation b4a0d9a8-e0cf-46aa-a36f-b69f661b4504 · 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, I. First results

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-10T14:58:32.743650Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T14:58:32.743650Z digest=sha256:6cc230a647a76c1775566d4af58aac4e87f8c4a38a10f0b2792f11b9c51c5275

Observation 49ff3327-9882-4747-bde9-051ede9b6be7 · inbound

Possibilistic inferential models: a review cites this paper.

Possibilistic inferential models: a review Valid and efficient imprecise-probabilistic inference with partial priors, I. First results

Reference 96

Resolution
verified exact
arxiv_id, observed 2026-05-19T04:42:04.511548Z

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:c7739b42c08cec823bd6017c2a24bff4cfed320778468c1614e2a73f23a3c77c