Paper Citation Record · LEDGER

Regularization of Inverse Problems

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2001.00617.

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

pith.paper-citation-record.v1
2001.00617 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T17:31:54.764219Z

measured 1 of 1 external citation measurements

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

12
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 41d42327-7993-4e90-b7bc-a160792d19b0 · inbound

Data-Driven Reconstruction and Characterization of Stochastic Dynamics via Dynamical Mode Decomposition cites this paper.

Data-Driven Reconstruction and Characterization of Stochastic Dynamics via Dynamical Mode Decomposition Regularization of Inverse Problems

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T19:26:14.845558Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2d4a65f9-0ce8-4c05-8334-00bb2884b38d · inbound

A Distributionally Robust Framework for Learned Reconstructions in Inverse Problems cites this paper.

A Distributionally Robust Framework for Learned Reconstructions in Inverse Problems Regularization of Inverse Problems

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-06-30T05:34:19.610979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 954538f8-0cc2-485b-8b2c-11191acdcee6 · inbound

A Unified Variational Framework for Deep Weakly Supervised Image Segmentation cites this paper.

A Unified Variational Framework for Deep Weakly Supervised Image Segmentation Regularization of Inverse Problems

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-01T12:11:36.214543Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 07e12489-414e-424a-9b3c-f32d5d072020 · inbound

Prior-Based Multi-Voltage Threshold Sampling as a Structured Inverse Problem cites this paper.

Prior-Based Multi-Voltage Threshold Sampling as a Structured Inverse Problem Regularization of Inverse Problems

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T14:46:35.352398Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 64916e3d-b73b-4124-a46b-4c7ad88bdb51 · inbound

Prior-Based Multi-Voltage Threshold Sampling as a Structured Inverse Problem cites this paper.

Prior-Based Multi-Voltage Threshold Sampling as a Structured Inverse Problem Regularization of Inverse Problems

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-08T17:31:54.764219Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.