Paper Citation Record · LEDGER

Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 26 inbound Pith citation observations for arXiv:2307.08423.

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

pith.paper-citation-record.v1
2307.08423 v6

Coverage vector

measured 0 of 0 reference resolution

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Source: paper_references, paper_reference_links

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 26 of 26 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T21:39:43.442220Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T20:17:33.798367Z

Reference resolution

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Outbound references

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Pith citing papers

Observation b765b235-2134-4094-b845-11eee0929722 · inbound

TrustLLM: Trustworthiness in Large Language Models cites this paper.

TrustLLM: Trustworthiness in Large Language Models Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems

Reference 13

Resolution: metadata mismatch; arxiv_id, observed 2026-05-18T11:17:08.286332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 3970d088-6aba-45d9-a474-edfa6727f92e · inbound

FARM: Enhancing Molecular Representations with Functional Group Awareness cites this paper.

FARM: Enhancing Molecular Representations with Functional Group Awareness Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems

Reference 42

Resolution: verified exact; arxiv_id, observed 2026-05-23T19:53:23.425362Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 3e01e032-f3c9-4818-a64d-bde7e05e3312 · inbound

Material Property Prediction with Element Attribute Knowledge Graphs and Multimodal Representation Learning cites this paper.

Material Property Prediction with Element Attribute Knowledge Graphs and Multimodal Representation Learning Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-12T21:39:43.442220Z

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Observation 5d9b67df-0c8a-46c9-8231-41582d887a2f · inbound

NeuralDEM -- Real-time Simulation of Industrial Particulate Flows cites this paper.

NeuralDEM -- Real-time Simulation of Industrial Particulate Flows Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems

Reference 105

Resolution: unresolved; no resolver link, observed 2026-08-12T20:27:30.694570Z

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Observation 935551ca-f51f-4dcf-894c-1a0482bae444 · inbound

Political-LLM: Large Language Models in Political Science cites this paper.

Political-LLM: Large Language Models in Political Science Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-11T19:52:03.801065Z

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Observation 9965450f-ff19-4469-9ffb-2a9933461ec3 · inbound

A Geometry-Aware Message Passing Neural Network for Modeling Aerodynamics over Airfoils cites this paper.

A Geometry-Aware Message Passing Neural Network for Modeling Aerodynamics over Airfoils Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-11T17:10:51.640771Z

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Observation 8a5ac5d2-9f07-4e68-b7e7-9f89da0be39f · inbound

Transfer Learning in Physics-Informed Neural Networks: Full Fine-Tuning, Lightweight Fine-Tuning, and Low-Rank Adaptation cites this paper.

Transfer Learning in Physics-Informed Neural Networks: Full Fine-Tuning, Lightweight Fine-Tuning, and Low-Rank Adaptation Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-09T17:52:03.207711Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 46bac853-a811-4e49-a851-99dbcab71303 · inbound

A Periodic Bayesian Flow for Material Generation cites this paper.

A Periodic Bayesian Flow for Material Generation Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems

Reference 123

Resolution: unresolved; no resolver link, observed 2026-08-09T13:47:40.010579Z

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Observation 8e1094a7-9195-46ea-9f4a-534fd8201dd4 · inbound

5D Neural Surrogates for Nonlinear Gyrokinetic Simulations of Plasma Turbulence cites this paper.

5D Neural Surrogates for Nonlinear Gyrokinetic Simulations of Plasma Turbulence Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-08T12:41:56.159746Z

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Observation 645f4b6a-a355-4878-a60b-0457403fe168 · inbound

5D Neural Surrogates for Nonlinear Gyrokinetic Simulations of Plasma Turbulence cites this paper.

5D Neural Surrogates for Nonlinear Gyrokinetic Simulations of Plasma Turbulence Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-08T12:41:56.155810Z

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Observation 3d139f67-e007-46d9-9cc2-833e10c9672f · inbound

DiffMS: Diffusion Generation of Molecules Conditioned on Mass Spectra cites this paper.

DiffMS: Diffusion Generation of Molecules Conditioned on Mass Spectra Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-07T21:04:57.852403Z

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Observation 766ccc70-f359-42d3-8472-83321eb5daed · inbound

Dynamical Data for More Efficient and Generalizable Learning: A Case Study in Disordered Elastic Networks cites this paper.

Dynamical Data for More Efficient and Generalizable Learning: A Case Study in Disordered Elastic Networks Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T13:45:28.888744Z

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Observation f89d3c9e-9d33-49fd-bb3f-a29ef69804f7 · inbound

Geometric Hyena Networks for Large-scale Equivariant Learning cites this paper.

Geometric Hyena Networks for Large-scale Equivariant Learning Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-07T13:11:48.097484Z

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Observation 4dd8baa8-3f10-4a69-b0e3-64ee425d9ca3 · inbound

Scalable Generation of Spatial Transcriptomics from Histology Images via Whole-Slide Flow Matching cites this paper.

Scalable Generation of Spatial Transcriptomics from Histology Images via Whole-Slide Flow Matching Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T14:28:56.007930Z

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Observation bca6aff4-5a59-4c56-946c-3c98f4934607 · inbound

Toward Greater Autonomy in Materials Discovery Agents: Unifying Planning, Physics, and Scientists cites this paper.

Toward Greater Autonomy in Materials Discovery Agents: Unifying Planning, Physics, and Scientists Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T10:18:44.920498Z

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Observation 2e05d2b0-c246-4bac-a9f0-6e2cb5923fe5 · inbound

A Two-Phase Deep Learning Framework for Adaptive Time-Stepping in High-Speed Flow Modeling cites this paper.

A Two-Phase Deep Learning Framework for Adaptive Time-Stepping in High-Speed Flow Modeling Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-19T10:22:14.650000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 13c3ec1e-a739-48d5-859c-dbe72874efb2 · inbound

PDESpectralRefiner: Achieving More Accurate Long Rollouts with Spectral Adjustment cites this paper.

PDESpectralRefiner: Achieving More Accurate Long Rollouts with Spectral Adjustment Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T04:31:41.095607Z

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Observation 4c47a369-f202-4ba9-91fa-0d2be9c56329 · inbound

Learning Causality for Modern Machine Learning cites this paper.

Learning Causality for Modern Machine Learning Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-07T01:03:53.067970Z

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Observation 1b6147aa-d5d1-481b-90ce-f0b814922b76 · inbound

Fast and Distributed Equivariant Graph Neural Networks by Virtual Node Learning cites this paper.

Fast and Distributed Equivariant Graph Neural Networks by Virtual Node Learning Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T23:11:55.754422Z

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Observation bfdc2249-0083-45ef-949e-6745f6145f05 · inbound

A Benchmark for Quantum Chemistry Relaxations via Machine Learning Interatomic Potentials cites this paper.

A Benchmark for Quantum Chemistry Relaxations via Machine Learning Interatomic Potentials Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-06T21:57:40.217718Z

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Observation 8e6036bf-2b99-419b-99b9-04c7349e4784 · inbound

A Collaborative Framework Integrating Large Language Model and Chemical Fragment Space: Mutual Inspiration for Lead Design cites this paper.

A Collaborative Framework Integrating Large Language Model and Chemical Fragment Space: Mutual Inspiration for Lead Design Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-06T16:25:53.753947Z

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Observation eab283b9-c345-43b8-9a07-151135f78e7c · inbound

Towards Adaptive External Communication in Autonomous Vehicles: A Conceptual Design Framework cites this paper.

Towards Adaptive External Communication in Autonomous Vehicles: A Conceptual Design Framework Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems

Reference 154

Resolution: unresolved; no resolver link, observed 2026-08-05T19:28:43.491622Z

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Unavailable: canonical work link unavailable.

Observation dbc17910-9755-49ab-a0f7-0011c940c1d6 · inbound

GyroSwin: 5D Surrogates for Gyrokinetic Plasma Turbulence Simulations cites this paper.

GyroSwin: 5D Surrogates for Gyrokinetic Plasma Turbulence Simulations Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-04T11:03:19.475533Z

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Observation 90243b26-e88c-4ee1-969f-53990ca38952 · inbound

Agentic Physical AI toward a Domain-Specific Foundation Model for Nuclear Reactor Control cites this paper.

Agentic Physical AI toward a Domain-Specific Foundation Model for Nuclear Reactor Control Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems

Reference 55

Resolution: metadata mismatch; arxiv_id, observed 2026-05-21T17:00:23.986491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation edf36a3f-477c-43ea-ba35-0fa942a8b6dc · inbound

Enabling Structure-Only Initialization and Out-of-Distribution Generalization in GNN-based Molecular Dynamics Simulators cites this paper.

Enabling Structure-Only Initialization and Out-of-Distribution Generalization in GNN-based Molecular Dynamics Simulators Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems

Reference 22

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T03:11:19.190306Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a319b4be-ae1c-4839-990e-e2be189e6287 · inbound

Tensor Train Diffusion: Leveraging Low-Rank Structures for High-Dimensional Score-Based Sampling cites this paper.

Tensor Train Diffusion: Leveraging Low-Rank Structures for High-Dimensional Score-Based Sampling Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-07-10T20:17:33.799786Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.