Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Deep Neural Operator Enabled Digital Twin Modeling for Additive Manufacturing
As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2405.09572.
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 2026-08-23T06:30:58.430688+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T04:51:06.285313Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-07T13:02:05.066388Z
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 bf00790a-4aef-402a-9617-2baae5cfff3d · inbound
Generative Machine Learning in Adaptive Control of Dynamic Manufacturing Processes: A Review cites this paper.
Generative Machine Learning in Adaptive Control of Dynamic Manufacturing Processes: A Review Deep Neural Operator Enabled Digital Twin Modeling for Additive Manufacturing
Reference 35
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T04:51:06.285313Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f306608f-7705-4aa1-a1bd-fa1d37170d8c · inbound
Monotone Peridynamic Neural Operator for Nonlinear Material Modeling with Conditionally Unique Solutions cites this paper.
Monotone Peridynamic Neural Operator for Nonlinear Material Modeling with Conditionally Unique Solutions Deep Neural Operator Enabled Digital Twin Modeling for Additive Manufacturing
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T04:36:40.983123Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9bb18386-41a2-4832-872b-5fd7f6843dc3 · inbound
Neural Interpretable PDEs: Harmonizing Fourier Insights with Attention for Scalable and Interpretable Physics Discovery cites this paper.
Neural Interpretable PDEs: Harmonizing Fourier Insights with Attention for Scalable and Interpretable Physics Discovery Deep Neural Operator Enabled Digital Twin Modeling for Additive Manufacturing
Reference 12
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-07T13:02:05.185098Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.