Paper Citation Record · LEDGER

HPC-AI Coupling Methodology for Scientific Applications

As of 7 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 0 inbound Pith citation observations for arXiv:2507.01025.

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

pith.paper-citation-record.v1
2507.01025 v1

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:23:52.589325Z

measured 44 of 44 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

44 of 44 outbound references displayed

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verified fuzzy32
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1836c220-0226-43ba-b83a-d664d8bd8ef7 · outbound

This paper cites , " * write output.state after.block = add.period write newline.

HPC-AI Coupling Methodology for Scientific Applications , " * write output.state after.block = add.period write newline

Reference 1

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Observation 4a42edb8-d4ab-47cb-8e14-8196b27e26e5 · outbound

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HPC-AI Coupling Methodology for Scientific Applications write newline

Reference 2

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Observation a956acd4-ff67-4e07-8df7-d03dc313b10b · outbound

This paper cites (2024) Accurate structure prediction of biomolecular interactions with alphafold 3.

HPC-AI Coupling Methodology for Scientific Applications (2024) Accurate structure prediction of biomolecular interactions with alphafold 3

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:24:12.603000Z

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Observation 4bc7bc44-8dfb-44a0-aec9-0a55073ad4dc · outbound

This paper cites GPT-4 Technical Report.

HPC-AI Coupling Methodology for Scientific Applications GPT-4 Technical Report

Reference 4

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Observation 5c57de76-0236-43d1-9a63-1cb754d95db2 · outbound

This paper cites (2018) Big data and extreme-scale computing: Pathways to convergence-toward a shaping strategy for a future software and data ecosystem for scientific inquiry.

HPC-AI Coupling Methodology for Scientific Applications (2018) Big data and extreme-scale computing: Pathways to convergence-toward a shaping strategy for a future software and data ecosystem for scientific inquiry

Reference 5

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Observation 75d84453-907e-4783-b1ae-980dd1edd462 · outbound

This paper cites Journal of computational chemistry 28(7): 1177--1186.

HPC-AI Coupling Methodology for Scientific Applications Journal of computational chemistry 28(7): 1177--1186

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:24:12.567065Z

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Observation 3ca89245-82cd-4bdf-94c8-a7ef9b86bc3a · outbound

This paper cites Physical review letters 105(19): 196403.

HPC-AI Coupling Methodology for Scientific Applications Physical review letters 105(19): 196403

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:24:12.548946Z

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Observation 81ea35ac-bfdb-4f9a-9601-39fbd87f2744 · outbound

This paper cites Chemistry of Materials 31(9): 3564--3572.

HPC-AI Coupling Methodology for Scientific Applications Chemistry of Materials 31(9): 3564--3572

Reference 8

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Observation beffcc8e-5961-404c-bded-5cd5ba0f95c2 · outbound

This paper cites Nature Computational Science 1(1): 46--53.

HPC-AI Coupling Methodology for Scientific Applications Nature Computational Science 1(1): 46--53

Reference 9

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Observation 4532803f-f15f-4e8b-8b40-4c83247d7138 · outbound

This paper cites The Journal of Physical Chemistry C 126(38): 16297--16305.

HPC-AI Coupling Methodology for Scientific Applications The Journal of Physical Chemistry C 126(38): 16297--16305

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:24:12.491198Z

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Observation 9f520be4-78d4-4a38-8a2c-741941d881ed · outbound

This paper cites LLaMP: Large Language Model Made Powerful for High-fidelity Materials Knowledge Retrieval and Distillation.

HPC-AI Coupling Methodology for Scientific Applications LLaMP: Large Language Model Made Powerful for High-fidelity Materials Knowledge Retrieval and Distillation

Reference 11

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Observation 99a9280e-1b8e-4055-9a7e-6adf8beba953 · outbound

This paper cites npj Computational Materials 7(1): 1--8.

HPC-AI Coupling Methodology for Scientific Applications npj Computational Materials 7(1): 1--8

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:24:12.470797Z

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Observation 11df5804-1c7e-47e4-9d65-5920ec30a4ed · outbound

This paper cites Scientific data 5(1): 1--12.

HPC-AI Coupling Methodology for Scientific Applications Scientific data 5(1): 1--12

Reference 13

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This paper cites In: The Eleventh International Conference on Learning Representations, ICLR 2023, Kigali, Rwanda, May 1-5, 2023.

HPC-AI Coupling Methodology for Scientific Applications In: The Eleventh International Conference on Learning Representations, ICLR 2023, Kigali, Rwanda, May 1-5, 2023

Reference 14

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Observation c1c2c49a-e4df-4f2b-ae27-52a891831efb · outbound

This paper cites Journal of Open Source Software 4(38): 1361.

HPC-AI Coupling Methodology for Scientific Applications Journal of Open Source Software 4(38): 1361

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:24:12.234212Z

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Observation 1aa6ff99-b3ee-4d13-a25a-5fdb052300d5 · outbound

This paper cites Nature Reviews Physics 6(10): 621--627.

HPC-AI Coupling Methodology for Scientific Applications Nature Reviews Physics 6(10): 621--627

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:24:12.109259Z

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Observation ed6c7875-0a12-41d6-ac3c-953f2c8b52c9 · outbound

This paper cites Directional Message Passing for Molecular Graphs.

HPC-AI Coupling Methodology for Scientific Applications Directional Message Passing for Molecular Graphs

Reference 17

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Observation d2880a4d-43e5-41cf-a26f-89e51097cb8d · outbound

This paper cites Chemical reviews 103(5): 1793--1874.

HPC-AI Coupling Methodology for Scientific Applications Chemical reviews 103(5): 1793--1874

Reference 18

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Observation 7cb6085f-c96e-4bde-b3e5-dfad22f2cfbc · outbound

This paper cites Computer Physics Communications 175(11): 713--720.

HPC-AI Coupling Methodology for Scientific Applications Computer Physics Communications 175(11): 713--720

Reference 19

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This paper cites In: International Conference on Machine Learning.

HPC-AI Coupling Methodology for Scientific Applications In: International Conference on Machine Learning

Reference 20

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Observation c2445aae-0090-4342-8a13-ed049829d083 · outbound

This paper cites Science 381(6654): 170--175.

HPC-AI Coupling Methodology for Scientific Applications Science 381(6654): 170--175

Reference 21

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Observation b7a386b2-b0b1-4cc1-8256-69ab2b6bd110 · outbound

This paper cites Nature communications 12(1): 2312.

HPC-AI Coupling Methodology for Scientific Applications Nature communications 12(1): 2312

Reference 22

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Observation 0dc79ec8-297a-4ba5-bfc8-a465cb2f4697 · outbound

This paper cites In: SC20: International conference for high performance computing, networking, storage and analysis.

HPC-AI Coupling Methodology for Scientific Applications In: SC20: International conference for high performance computing, networking, storage and analysis

Reference 23

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Observation 857414e7-7ff5-433a-9547-4e4d77fa422a · outbound

This paper cites (2021) Highly accurate protein structure prediction with alphafold.

HPC-AI Coupling Methodology for Scientific Applications (2021) Highly accurate protein structure prediction with alphafold

Reference 24

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Observation 6eefd235-f27f-482e-96b5-a202508c9d58 · outbound

This paper cites Nature Communications 15(1): 4705.

HPC-AI Coupling Methodology for Scientific Applications Nature Communications 15(1): 4705

Reference 25

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Observation eed5e29a-5c05-4a21-8e0c-be2634840c98 · outbound

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HPC-AI Coupling Methodology for Scientific Applications npj Computational Materials 10(1): 161

Reference 26

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Observation 31e74d0d-e54c-41bf-9c88-2020806ca0b8 · outbound

This paper cites Nature Computational Science 2(6): 367--377.

HPC-AI Coupling Methodology for Scientific Applications Nature Computational Science 2(6): 367--377

Reference 27

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Observation 53090959-66e5-4788-9393-f6429bb58ee2 · outbound

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HPC-AI Coupling Methodology for Scientific Applications In: International Conference on Learning Representations

Reference 28

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Observation 5bf1d66b-832c-439f-9b43-593ab17e5e1c · outbound

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HPC-AI Coupling Methodology for Scientific Applications In: Forty-first International Conference on Machine Learning, ICML 2024, Vienna, Austria, July 21-27, 2024

Reference 29

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Observation bb4f3086-3158-49cb-8229-1a254c511a03 · outbound

This paper cites Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models.

HPC-AI Coupling Methodology for Scientific Applications Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models

Reference 30

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Observation 6ea93ca8-397c-4152-80b6-4795be5e7dad · outbound

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HPC-AI Coupling Methodology for Scientific Applications Nature Machine Intelligence : 1--11

Reference 31

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HPC-AI Coupling Methodology for Scientific Applications In: International Conference on Machine Learning

Reference 32

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Observation 1fbc94ff-6feb-47c6-b27d-9a1742957eba · outbound

This paper cites Journal of Chemical Physics 124(24): 201--419.

HPC-AI Coupling Methodology for Scientific Applications Journal of Chemical Physics 124(24): 201--419

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:23:55.306506Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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This paper cites Journal of Physics: Condensed Matter 23(5): 053201.

HPC-AI Coupling Methodology for Scientific Applications Journal of Physics: Condensed Matter 23(5): 053201

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:23:55.037380Z

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Observation b09f229d-4b28-451e-9212-abde13b82dae · outbound

This paper cites Physical review letters 51(7): 597.

HPC-AI Coupling Methodology for Scientific Applications Physical review letters 51(7): 597

Reference 35

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Observation d6891839-2835-4b16-b54c-513735a2cc4c · outbound

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HPC-AI Coupling Methodology for Scientific Applications ACM Computing Surveys 56(12): 1--38

Reference 36

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Observation f32b3d54-612e-43a6-b41b-286ebecf962c · outbound

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HPC-AI Coupling Methodology for Scientific Applications Advances in Neural Information Processing Systems 31

Reference 37

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Observation dbad524d-c976-481b-b8b1-6e4ca0915b8f · outbound

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HPC-AI Coupling Methodology for Scientific Applications Nature materials 7(12): 937--946

Reference 38

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HPC-AI Coupling Methodology for Scientific Applications Physical review letters 120(14): 145301

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:23:53.691655Z

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Observation 92833972-e4ef-4e54-91a4-b9e77f4f71af · outbound

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HPC-AI Coupling Methodology for Scientific Applications Periodic Graph Transformers for Crystal Material Property Prediction

Reference 40

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HPC-AI Coupling Methodology for Scientific Applications Nature Medicine : 1--11

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:23:53.435725Z

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Observation 13d69a5b-6cf3-4206-b672-768de54f0c6f · outbound

This paper cites DPA-2: a large atomic model as a multi-task learner.

HPC-AI Coupling Methodology for Scientific Applications DPA-2: a large atomic model as a multi-task learner

Reference 42

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HPC-AI Coupling Methodology for Scientific Applications , " * write output.state after.block = add.period write newline

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HPC-AI Coupling Methodology for Scientific Applications write newline

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Pith citing papers

No inbound Pith citation observations are available.