Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Learning linear operators: Infinite-dimensional regression as a well-behaved non-compact inverse problem
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2211.08875.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T21:25:59.548416Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-28T19:52:35.021099Z
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 09a0739e-a89a-4ef7-9e1f-afbb0c527adf · inbound
Learning convolution operators on compact Abelian groups cites this paper.
Learning convolution operators on compact Abelian groups Learning linear operators: Infinite-dimensional regression as a well-behaved non-compact inverse problem
Reference 30
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:25:59.548416Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 15d98b8f-efa7-4bf6-9f6c-f1032f5b4186 · inbound
Contextual Online Decision Making with Infinite-Dimensional Functional Regression cites this paper.
Contextual Online Decision Making with Infinite-Dimensional Functional Regression Learning linear operators: Infinite-dimensional regression as a well-behaved non-compact inverse problem
Reference 2003
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T23:57:05.200565Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 22f4d560-dad1-4320-bc1c-f151903d818e · inbound
Operator Learning for Schr\"{o}dinger Equation: Unitarity, Error Bounds, and Time Generalization cites this paper.
Operator Learning for Schr\"{o}dinger Equation: Unitarity, Error Bounds, and Time Generalization Learning linear operators: Infinite-dimensional regression as a well-behaved non-compact inverse problem
Reference 6
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T13:07:18.207821Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 7bc0c9e4-964d-4b10-8049-05d7576e7a91 · inbound
Safety Certification is Classification cites this paper.
Safety Certification is Classification Learning linear operators: Infinite-dimensional regression as a well-behaved non-compact inverse problem
Reference 38
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T19:56:09.230609Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 548fed72-eb25-48ca-bb1c-f6dd93e968b8 · inbound
Concentration Inequalities for Sample Cross-Covariances cites this paper.
Concentration Inequalities for Sample Cross-Covariances Learning linear operators: Infinite-dimensional regression as a well-behaved non-compact inverse problem
Reference 259
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T20:27:48.880451Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation ac956be4-7b27-48b2-be19-4241642ae424 · inbound
Is Zero-Shot Super-Resolution Possible in Operator Learning? cites this paper.
Is Zero-Shot Super-Resolution Possible in Operator Learning? Learning linear operators: Infinite-dimensional regression as a well-behaved non-compact inverse problem
Reference 60
- Resolution
- verified exact
- arxiv_id, observed 2026-06-28T19:52:35.022780Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 93d8fbbd-4e75-4f5a-8958-f1cb5a5beed2 · inbound
Optimizing the Preconditioner: A Black-box Online-to-Nonconvex Conversion with Static Regret Minimization Oracles cites this paper.
Optimizing the Preconditioner: A Black-box Online-to-Nonconvex Conversion with Static Regret Minimization Oracles Learning linear operators: Infinite-dimensional regression as a well-behaved non-compact inverse problem
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T17:37:50.754969Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.