Paper Citation Record · LEDGER

A Combined Tight Binding with Machine Learning Potential Model for Magnesium Compounds

As of 7 August 2026, this Paper Citation Record lists 4 of 4 outbound references and 0 inbound Pith citation observations for arXiv:2606.25853.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2606.25853 v2

Coverage vector

measured 4 of 4 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T10:13:31.276651Z

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

4 of 4 outbound references displayed

verified exact0
verified fuzzy0
unresolved3
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation cdc50534-c1e6-4b82-9c37-33d1ff45b1d5 · outbound

This paper cites Construction of tight-binding-like potentials on the basis of density-functional theory: Application to carbon.Physical Review B1995,51, 12947.

A Combined Tight Binding with Machine Learning Potential Model for Magnesium Compounds Construction of tight-binding-like potentials on the basis of density-functional theory: Application to carbon.Physical Review B1995,51, 12947

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-02T10:13:30.831811Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 272c34e4-baef-4b67-bfd8-d4f122feb8c8 · outbound

This paper cites Pseudopotentials for H to Kr optimized for gradient-corrected exchange- correlation functionals.Theoretical Chemistry Accounts2005,114, 145–152.

A Combined Tight Binding with Machine Learning Potential Model for Magnesium Compounds Pseudopotentials for H to Kr optimized for gradient-corrected exchange- correlation functionals.Theoretical Chemistry Accounts2005,114, 145–152

Reference 3641

Resolution: malformed identifier; no resolver link, observed 2026-08-02T10:13:31.140273Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 651d0319-6002-41d3-9dfe-4771400c81e4 · outbound

This paper cites M.; Tavernelli, I.; Rothlisberger, U.

A Combined Tight Binding with Machine Learning Potential Model for Magnesium Compounds M.; Tavernelli, I.; Rothlisberger, U

Reference 3730

Resolution: unresolved; no resolver link, observed 2026-08-02T10:13:31.276651Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2d8330b3-48dd-4573-9f21-0a85f36a970a · outbound

This paper cites e3nn: Euclidean Neural Networks.

A Combined Tight Binding with Machine Learning Potential Model for Magnesium Compounds e3nn: Euclidean Neural Networks

Reference 5641

Resolution: unresolved; no resolver link, observed 2026-08-02T10:13:30.949999Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.