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Paper Citation Record · LEDGER

Efficient and Scalable Density Functional Theory Hamiltonian Prediction through Adaptive Sparsity

As of 10 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 0 inbound Pith citation observations for arXiv:2502.01171.

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

pith.paper-citation-record.v1
2502.01171 v2

Coverage vector

measured 16 of 16 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T16:26:03.536313Z

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

16 of 16 outbound references displayed

  • verified exact3
  • verified fuzzy2
  • unresolved11
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 78164b19-dbfe-4288-89c8-a1b7bc12541f · outbound

This paper cites an unresolved cited work.

Efficient and Scalable Density Functional Theory Hamiltonian Prediction through Adaptive Sparsity Unresolved cited work

Reference 6

Resolution
unresolved
raw_fallback, observed 2026-08-09T16:26:03.752218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 14217666-6a8b-4bed-bece-16d0d0d579da · outbound

This paper cites EquiformerV2: Improved Equivariant Transformer for Scaling to Higher-Degree Representations.

Efficient and Scalable Density Functional Theory Hamiltonian Prediction through Adaptive Sparsity EquiformerV2: Improved Equivariant Transformer for Scaling to Higher-Degree Representations

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-09T16:26:03.492337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation b04e8d1f-8638-45d7-a848-66a324de1747 · outbound

This paper cites TorchMD-NET: Equivariant Transformers for Neural Network based Molecular Potentials.

Efficient and Scalable Density Functional Theory Hamiltonian Prediction through Adaptive Sparsity TorchMD-NET: Equivariant Transformers for Neural Network based Molecular Potentials

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-09T16:26:03.497705Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation eb7f05f7-0d4c-4290-80ec-bc4828e3f203 · outbound

This paper cites Towards flexible, efficient, and effective tensor product networks.

Efficient and Scalable Density Functional Theory Hamiltonian Prediction through Adaptive Sparsity Towards flexible, efficient, and effective tensor product networks

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T16:26:03.797721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T16:26:03.502300Z digest=sha256:0d6fa8a8d5799c4d49b12ace9c96f8f3af439b42a128b987638170ebb8b05551

Observation 37f9d3fb-e4d5-445a-8abc-6c5a95802a43 · outbound

This paper cites Infusing Self-Consistency into Density Functional Theory Hamiltonian Prediction via Deep Equilibrium Models.

Efficient and Scalable Density Functional Theory Hamiltonian Prediction through Adaptive Sparsity Infusing Self-Consistency into Density Functional Theory Hamiltonian Prediction via Deep Equilibrium Models

Reference 11

Resolution
verified exact
local_arxiv, observed 2026-08-09T16:26:03.607308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T16:26:03.511522Z digest=sha256:58cfac198c00811cb690db7c40dc697dee59432e5c997092286deb6133660d24

Observation 8e1c300e-ce46-473f-a06c-faf69bdf5b2a · outbound

This paper cites (A) The Vectorial Node Interaction Block, which uses a long-short range message-passing mechanism.

Efficient and Scalable Density Functional Theory Hamiltonian Prediction through Adaptive Sparsity (A) The Vectorial Node Interaction Block, which uses a long-short range message-passing mechanism

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T16:26:03.781841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T16:26:03.516692Z digest=sha256:c94dda593ca7dcec696f613d721ff9452dbcfe5527a50b8954a2ebedb241045a

Observation d691dc50-68dd-4401-9efc-7d5cd838e701 · outbound

This paper cites an unresolved cited work.

Efficient and Scalable Density Functional Theory Hamiltonian Prediction through Adaptive Sparsity Unresolved cited work

Reference 14

Resolution
unresolved
raw_fallback, observed 2026-08-09T16:26:03.767020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation c0d540c8-368b-43bb-a2e0-0e4c6e93bcb6 · outbound

This paper cites an unresolved cited work.

Efficient and Scalable Density Functional Theory Hamiltonian Prediction through Adaptive Sparsity Unresolved cited work

Reference 15

Resolution
unresolved
raw_fallback, observed 2026-08-09T16:26:03.736909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T16:26:03.531160Z digest=sha256:a4596dde46ff3545cbffb07ddc08161457dfe216e777ce2fbca23b4a5b52e89e

Observation a45f950c-9288-46e2-a320-cfa823649472 · outbound

This paper cites an unresolved cited work.

Efficient and Scalable Density Functional Theory Hamiltonian Prediction through Adaptive Sparsity Unresolved cited work

Reference 16

Resolution
unresolved
raw_fallback, observed 2026-08-09T16:26:03.721533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T16:26:03.536313Z digest=sha256:a0dd67abefb187b5202f7f310ded8e28ddd9a94da96a133d58c478097cd58499

Observation 30145f5d-6635-44c4-b797-5efec871be62 · outbound

This paper cites GeoMFormer: A General Architecture for Geometric Molecular Representation Learning.

Efficient and Scalable Density Functional Theory Hamiltonian Prediction through Adaptive Sparsity GeoMFormer: A General Architecture for Geometric Molecular Representation Learning

Reference 2000

Resolution
unresolved
no resolver link, observed 2026-08-09T16:26:03.466879Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T16:26:03.466879Z digest=sha256:0b0e14757ffbd9924d307bf0d9d39582a222ff8d21a6db2c01930e34adb8aa8f

Observation 82024dda-406e-40a0-b338-de21098ea1dd · outbound

This paper cites URL https://doi.org/ 10.1021/ct200412r.

Efficient and Scalable Density Functional Theory Hamiltonian Prediction through Adaptive Sparsity URL https://doi.org/ 10.1021/ct200412r

Reference 2011

Resolution
unresolved
no resolver link, observed 2026-08-09T16:26:03.461587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation fbcaa4fb-1244-4bdb-b3c8-8e0875a6f6c1 · outbound

This paper cites Se (3)-transformers: 3d roto-translation equivariant attention networks.

Efficient and Scalable Density Functional Theory Hamiltonian Prediction through Adaptive Sparsity Se (3)-transformers: 3d roto-translation equivariant attention networks

Reference 2019

Resolution
unresolved
no resolver link, observed 2026-08-09T16:26:03.471853Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T16:26:03.471853Z digest=sha256:0ac3be5a09d377af3a261eb3b915710d07b060ab1d59eff79dba2cfbe3ce9c33

Observation 03db4cda-0e18-46a9-ad7e-0d7605a9af06 · outbound

This paper cites GemNet-OC: Developing Graph Neural Networks for Large and Diverse Molecular Simulation Datasets.

Efficient and Scalable Density Functional Theory Hamiltonian Prediction through Adaptive Sparsity GemNet-OC: Developing Graph Neural Networks for Large and Diverse Molecular Simulation Datasets

Reference 2020

Resolution
unresolved
no resolver link, observed 2026-08-09T16:26:03.476632Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T16:26:03.476632Z digest=sha256:89fb6029879ec05e04c1907224f306e06758f949a02e2572cba2c5c0af3071ab

Observation d16f8162-4707-4efa-a462-640eff6f28c5 · outbound

This paper cites URL https://doi.org/ 10.1021/acs.jctc.2c00509.

Efficient and Scalable Density Functional Theory Hamiltonian Prediction through Adaptive Sparsity URL https://doi.org/ 10.1021/acs.jctc.2c00509

Reference 2022

Resolution
verified exact
doi, observed 2026-08-09T16:26:03.573854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T16:26:03.481757Z digest=sha256:1bbed56292c1903ee5acb80c1854b2ce6a4d55dba31606b46aa8c10599592fbf

Observation 2d24938c-ed4c-4518-bdc4-b5aeff49ffd3 · outbound

This paper cites ViSNet: an equivariant geometry-enhanced graph neural network with vector-scalar interactive message passing for molecules.

Efficient and Scalable Density Functional Theory Hamiltonian Prediction through Adaptive Sparsity ViSNet: an equivariant geometry-enhanced graph neural network with vector-scalar interactive message passing for molecules

Reference 2023

Resolution
verified exact
local_arxiv, observed 2026-08-09T16:26:03.629037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T16:26:03.506840Z digest=sha256:6acd84139c6d98cb6854e29518dc91343cab111af63cce3c7093f4677aba213f

Observation e127e224-6adb-47b5-a804-e9bd601722e1 · outbound

This paper cites Equiformer: Equivariant Graph Attention Transformer for 3D Atomistic Graphs.

Efficient and Scalable Density Functional Theory Hamiltonian Prediction through Adaptive Sparsity Equiformer: Equivariant Graph Attention Transformer for 3D Atomistic Graphs

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-09T16:26:03.487255Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T16:26:03.487255Z digest=sha256:23f63ca1bb357acfc3986da270f43bc83da82c601eceff04615dbd0bac89892d

Pith citing papers

No inbound Pith citation observations are available.