Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Separable Operator Networks
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2407.11253.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-05T12:22:09.911696Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-01T15:45:48.813333Z
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 991e54ad-499b-4597-adb9-a40e3d4140db · inbound
Efficient Transformer-Inspired Variants of Physics-Informed Deep Operator Networks cites this paper.
Efficient Transformer-Inspired Variants of Physics-Informed Deep Operator Networks Separable Operator Networks
Reference 39
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T12:22:09.911696Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e9ae796d-b9a2-4688-951a-7d2749150a74 · inbound
A Trainable-by-Parts Operator Learning Framework: Bridging DeepONet and Karhunen-Loeve Expansions for Large-Scale Applications cites this paper.
A Trainable-by-Parts Operator Learning Framework: Bridging DeepONet and Karhunen-Loeve Expansions for Large-Scale Applications Separable Operator Networks
Reference 14
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T15:45:48.814807Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 67c56447-78e7-4baa-88a1-a06d28edab84 · inbound
Uncertainty quantification in mechanics: A unified Bayesian perspective cites this paper.
Uncertainty quantification in mechanics: A unified Bayesian perspective Separable Operator Networks
Reference 131
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T14:38:06.497297Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.