Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Micrometer: Micromechanics Transformer for Predicting Mechanical Responses of Heterogeneous Materials
As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2410.05281.
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 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T21:57:26.457934Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-29T22:34:02.764693Z
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 8820123e-14a6-4726-986b-c8753debb1b2 · inbound
Improving Data Fidelity via Diffusion Model-based Correction and Super-Resolution cites this paper.
Improving Data Fidelity via Diffusion Model-based Correction and Super-Resolution Micrometer: Micromechanics Transformer for Predicting Mechanical Responses of Heterogeneous Materials
Reference 51
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T21:57:26.457934Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 77857c12-130c-47a9-894a-14dc1b16fdf9 · inbound
Small Models, Strong Priors: Architectural Inductive Bias for Parameter-Efficient Neural PDE Solvers cites this paper.
Small Models, Strong Priors: Architectural Inductive Bias for Parameter-Efficient Neural PDE Solvers Micrometer: Micromechanics Transformer for Predicting Mechanical Responses of Heterogeneous Materials
Reference 45
- Resolution
- verified exact
- arxiv_id, observed 2026-06-29T22:34:02.767179Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.