Pith. sign in

Paper Citation Record · LEDGER

Discretization-invariant Bayesian inversion and Besov space priors

As of 24 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:0901.4220.

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

pith.paper-citation-record.v1
0901.4220 v1

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 2026-08-23T06:30:58.430688+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T22:33:25.675366Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T04:09:13.402761Z

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 697e7aa7-0f08-41b7-a564-55a4b2cac388 · inbound

Can neural operators always be continuously discretized? cites this paper.

Can neural operators always be continuously discretized? Discretization-invariant Bayesian inversion and Besov space priors

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-11T22:33:25.675366Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T22:33:25.675366Z digest=sha256:f708bc46b6f0aa9a5a1c915eed474b1d8c311ce96a5837ca2473741fe96bb547

Observation 6d5f7107-3b37-4ca6-9ffb-ff35c229dfd7 · inbound

Data-driven approaches to inverse problems cites this paper.

Data-driven approaches to inverse problems Discretization-invariant Bayesian inversion and Besov space priors

Reference 21

Resolution
verified exact
local_arxiv, observed 2026-08-07T04:09:13.481726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T04:09:10.988785Z digest=sha256:de97c7dd8d62c6db00719e449900ea337cf0cd95051b9c079efe2e6295558dc9