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Paper Citation Record · LEDGER

Learned Regularization for Inverse Problems: Insights from a Spectral Model

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2312.09845.

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

pith.paper-citation-record.v1
2312.09845 v2

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 2026-08-14T06:32:32.682623+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:51:12.604743Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T14:26:03.558566Z

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 863bf86c-7b42-43d3-9489-057b5d0aaf90 · inbound

Bayesian Model Parameter Learning in Linear Inverse Problems: Application in EEG Focal Source Imaging cites this paper.

Bayesian Model Parameter Learning in Linear Inverse Problems: Application in EEG Focal Source Imaging Learned Regularization for Inverse Problems: Insights from a Spectral Model

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-10T21:51:12.604743Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:51:12.604743Z digest=sha256:46fd92a84cb1911dd4438145db358abb5bd811416d7d771d2334794affb3fdf9

Observation 69d4b4f9-2ea0-4676-b880-5e7caef4f91f · inbound

AI-Gram: When Visual Agents Interact in a Social Network cites this paper.

AI-Gram: When Visual Agents Interact in a Social Network Learned Regularization for Inverse Problems: Insights from a Spectral Model

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-11T14:26:03.560024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-09T21:51:11.985931Z digest=sha256:7f096aa18cc60856335e48c3db4342f379e140a97f40a1820ee2351a9a5daa38