Paper Citation Record · LEDGER

Machine Learning Hamiltonians are Accurate Energy-Force Predictors

As of 3 August 2026, this Paper Citation Record lists 9 of 9 outbound references and 0 inbound Pith citation observations for arXiv:2602.16897.

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

pith.paper-citation-record.v1
2602.16897 v2

Coverage vector

measured 9 of 9 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T22:29:23.780693Z

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-03T06:30:56.289259+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

9 of 9 outbound references displayed

verified exact1
verified fuzzy0
unresolved5
parse uncertain0
malformed identifier3
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 58ad891b-951f-4dc6-a1f1-18708bf3b8a4 · outbound

This paper cites URL https://www.sciencedirect.com/ science/article/pii/S2589004224008952.

Machine Learning Hamiltonians are Accurate Energy-Force Predictors URL https://www.sciencedirect.com/ science/article/pii/S2589004224008952

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-02T22:29:23.728863Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 060fb998-c9ad-49b0-9ed9-d669bd9a454e · outbound

This paper cites 16 Gong, X., Li, H., Zou, N., Xu, R., Duan, W., and Xu, Y.

Machine Learning Hamiltonians are Accurate Energy-Force Predictors 16 Gong, X., Li, H., Zou, N., Xu, R., Duan, W., and Xu, Y

Reference 205

Resolution: malformed identifier; no resolver link, observed 2026-08-02T22:29:23.258036Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 01e2a613-6c00-4506-8d23-2c63fba63a93 · outbound

This paper cites 3 Ruddigkeit, L., Van Deursen, R., Blum, L.

Machine Learning Hamiltonians are Accurate Energy-Force Predictors 3 Ruddigkeit, L., Van Deursen, R., Blum, L

Reference 1951

Resolution: unresolved; no resolver link, observed 2026-08-02T22:29:23.621650Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d8a94d51-e3ad-496c-a37d-096d99cbec1d · outbound

This paper cites e3nn: Euclidean Neural Networks.

Machine Learning Hamiltonians are Accurate Energy-Force Predictors e3nn: Euclidean Neural Networks

Reference 2000

Resolution: malformed identifier; no resolver link, observed 2026-08-02T22:29:23.191659Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e0d9493d-444d-48ca-a126-a0acc2db5dc6 · outbound

This paper cites Enhancing GPU-acceleration in the Python-based Simulations of Chemistry Framework.

Machine Learning Hamiltonians are Accurate Energy-Force Predictors Enhancing GPU-acceleration in the Python-based Simulations of Chemistry Framework

Reference 2005

Resolution: malformed identifier; no resolver link, observed 2026-08-02T22:29:23.780693Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 490f1c4b-74fc-4bcf-b3d0-6d5fef4b9071 · outbound

This paper cites Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds.

Machine Learning Hamiltonians are Accurate Energy-Force Predictors Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds

Reference 2012

Resolution: unresolved; no resolver link, observed 2026-08-02T22:29:23.677254Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2e060766-f15f-4cd1-8c71-d55f2126b653 · outbound

This paper cites Deep-learning density functional theory hamiltonian for efficient ab initio electronic-structure cal- culation.Nature Computational Science, 2(6):367–377,.

Machine Learning Hamiltonians are Accurate Energy-Force Predictors Deep-learning density functional theory hamiltonian for efficient ab initio electronic-structure cal- culation.Nature Computational Science, 2(6):367–377,

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-02T22:29:23.334501Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6c007217-7a4e-4f86-b065-71102656dae3 · outbound

This paper cites Recent advances in machine learning- assisted multiscale design of energy materials.

Machine Learning Hamiltonians are Accurate Energy-Force Predictors Recent advances in machine learning- assisted multiscale design of energy materials

Reference 2021

Resolution: verified exact; doi, observed 2026-08-02T22:34:24.902425Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 51b76980-7d6d-416a-8df3-56d14e3066ec · outbound

This paper cites Enhancing the scalability and applicability of kohn-sham hamiltonians for molecular systems.

Machine Learning Hamiltonians are Accurate Energy-Force Predictors Enhancing the scalability and applicability of kohn-sham hamiltonians for molecular systems

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-02T22:29:23.412450Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.