Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
A Physics-Guided Neural Operator Learning Approach to Model Biological Tissues from Digital Image Correlation Measurements
As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2204.00205.
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 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T16:49:49.828092Z
A source-named dated measurement, never combined with another source.
Source: pith, 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
1
pith, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 8d3a6dd8-a379-472f-9e84-f9b9c8bf5f94 · inbound
Self-composing neural operators for high-frequency and multiscale PDE surrogates cites this paper.
Self-composing neural operators for high-frequency and multiscale PDE surrogates A Physics-Guided Neural Operator Learning Approach to Model Biological Tissues from Digital Image Correlation Measurements
Reference 49
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T16:49:49.828092Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5a7fa726-9aeb-4ff4-a098-6fbc49b4bee8 · inbound
Uncertainty quantification in mechanics: A unified Bayesian perspective cites this paper.
Uncertainty quantification in mechanics: A unified Bayesian perspective A Physics-Guided Neural Operator Learning Approach to Model Biological Tissues from Digital Image Correlation Measurements
Reference 140
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-01T14:38:33.232106Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.